[Federal Register Volume 91, Number 71 (Tuesday, April 14, 2026)]
[Proposed Rules]
[Pages 19312-19887]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2026-07203]



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Vol. 91

Tuesday,

No. 71

April 14, 2026

Part III





Department of Health and Human Services





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Centers for Medicare & Medicaid Services





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42 CFR Parts 405, 412, 413, et al.





Medicare Program; Hospital Inpatient Prospective Payment Systems for 
Acute Care Hospitals (IPPS) and the Long-Term Care Hospital Prospective 
Payment System and Policy Changes and Fiscal Year (FY) 2027 Rates; 
Requirements for Quality Programs; and Other Policy Changes; Proposed 
Rule

Federal Register / Vol. 91 , No. 71 / Tuesday, April 14, 2026 / 
Proposed Rules

[[Page 19312]]


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DEPARTMENT OF HEALTH AND HUMAN SERVICES

Centers for Medicare & Medicaid Services

42 CFR Parts 405, 412, 413, 415, 419, 495, and 512

[CMS-1849-P]
RINs 0938-AV79


Medicare Program; Hospital Inpatient Prospective Payment Systems 
for Acute Care Hospitals (IPPS) and the Long-Term Care Hospital 
Prospective Payment System and Policy Changes and Fiscal Year (FY) 2027 
Rates; Requirements for Quality Programs; and Other Policy Changes

AGENCY: Centers for Medicare & Medicaid Services (CMS) and Department 
of Health and Human Services (HHS).

ACTION: Proposed rule.

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SUMMARY: This proposed rule would revise the Medicare hospital 
inpatient prospective payment systems (IPPS) for operating and capital-
related costs of acute care hospitals; make changes relating to 
Medicare graduate medical education (GME) for teaching hospitals; 
update the payment policies and the annual payment rates for the 
Medicare prospective payment system (PPS) for inpatient hospital 
services provided by long-term care hospitals (LTCHs); update and make 
changes to requirements for certain quality programs; and make other 
policy-related changes.

DATES: To be assured consideration, comments must be received at one of 
the addresses provided in the ADDRESSES section, no later than 5 p.m. 
EDT on April 10, 2026.

ADDRESSES: In commenting, please refer to file code CMS-1849-P. Because 
of staff and resource limitations, we cannot accept comments by 
facsimile (FAX) transmission.
    Comments, including mass comment submissions, must be submitted in 
one of the following three ways (please choose only one of the ways 
listed):
    1. Electronically. You may (and we encourage you to) submit 
electronic comments on this regulation to https://www.regulations.gov. 
Follow the instructions under the ``submit a comment'' tab.
    2. By regular mail. You may mail written comments to the following 
address ONLY: Centers for Medicare & Medicaid Services, Department of 
Health and Human Services, Attention: CMS-1849-P, P.O. Box 8013, 
Baltimore, MD 21244-8013.
    Please allow sufficient time for mailed comments to be received 
before the close of the comment period.
    3. By express or overnight mail. You may send written comments via 
express or overnight mail to the following address ONLY: Centers for 
Medicare & Medicaid Services, Department of Health and Human Services, 
Attention: CMS-1849-P, Mail Stop C4-26-05, 7500 Security Boulevard, 
Baltimore, MD 21244-1850.
    For information on viewing public comments, we refer readers to the 
beginning of the SUPPLEMENTARY INFORMATION section.

FOR FURTHER INFORMATION CONTACT: Donald Thompson, and Michele Hudson, 
(410) 786-4487 or [email protected], Operating Prospective Payment, MS-
DRG Relative Weights, Wage Index, Hospital Geographic 
Reclassifications, Graduate Medical Education, Capital Prospective 
Payment, Excluded Hospitals, Medicare Disproportionate Share Hospital 
(DSH) Payment Adjustment, Sole Community Hospitals (SCHs), Medicare-
Dependent Small Rural Hospital (MDH) Program, and Low-Volume Hospital 
Payment Adjustment.
    Emily Lipkin, Jim Mildenberger and Michael Raftery, 
[email protected], Long-Term Care Hospital Prospective Payment System and 
MS-LTC-DRG Relative Weights Issues.
    Lily Yuan, [email protected], New Technology Add-On Payments 
Issues.
    Mady Hue, [email protected], and Andrea Hazeley, 
[email protected], MS-DRG Classifications Issues.
    David O'Reilly, [email protected], Rural Community Hospital 
Demonstration Program Issues.
    Jeris Smith, [email protected], Frontier Community Health 
Integration Project (FCHIP) Demonstration Issues.
    Lang Le, [email protected], Hospital Readmissions Reduction 
Program and Hospital Acquired Condition Reduction Program--
Administration Issues.
    Ngozi Uzokwe, [email protected], Hospital Acquired Condition 
Reduction Program and Hospital Readmissions Reduction Program--Measures 
Issues.
    Julia Venanzi, [email protected], Hospital Inpatient 
Quality Reporting Program and Hospital Value-Based Purchasing Program--
Administration Issues.
    Melissa Hager, [email protected], and Ngozi Uzokwe, 
[email protected]--Hospital Inpatient Quality Reporting Program 
and Hospital Value-Based Purchasing Program--Measures Issues Except 
Hospital Consumer Assessment of Healthcare Providers and Systems 
Issues.
    John Green, [email protected], PPS-Exempt Cancer Hospital 
Quality Reporting Program--Administration Issues.
    Kristina Rabarison, [email protected], PPS-Exempt 
Cancer Hospital Quality Reporting Program--Measure Issues.
    Ariel Cress, [email protected], Long-Term Care Hospital 
Quality Reporting Program--Administration Issues.
    Jessica Warren, [email protected], and Lisa Marie Gomez, 
[email protected], Medicare Promoting Interoperability 
Program.
    [email protected], Transforming Episode Accountability Model 
(TEAM).
    [email protected], Comprehensive Care for Joint Replacement 
Expanded (CJR-X) Model.
    Katherine McDonald, [email protected], Amanda Michael, 
[email protected], and Kellie Shannon, 
[email protected], Organ Acquisition Payment, Reasonable Cost 
Payment, and Appeals for Independent Organ Procurement Organizations 
(IOPOs) and Histocompatibility Laboratories (HCLs).

SUPPLEMENTARY INFORMATION: 
    Inspection of Public Comments: All comments received before the 
close of the comment period are available for viewing by the public, 
including any personally identifiable or confidential business 
information that is included in a comment. We post all comments 
received before the close of the comment period on the following 
website as soon as possible after they have been received: https://www.regulations.gov. Follow the search instructions on that website to 
view public comments. CMS will not post on Regulations.gov public 
comments that make threats to individuals or institutions or suggest 
that the commenter will take actions to harm an individual. CMS 
continues to encourage individuals not to submit duplicative comments. 
We will post acceptable comments from multiple unique commenters even 
if the content is identical or nearly identical to other comments.
    Plain Language Summary: In accordance with 5 U.S.C. 553(b)(4), a

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plain language summary of this rule may be found at https://www.regulations.gov/.

Tables Available on the CMS Website

    The IPPS tables for this fiscal year (FY) 2027 proposed rule are 
available on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html. Click on the link 
on the left side of the screen titled ``FY 2027 IPPS Proposed Rule Home 
Page'' or ``Acute Inpatient--Files for Download.'' The LTCH PPS tables 
for this FY 2027 proposed rule are available on the CMS website at 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/LongTermCareHospitalPPS/index.html under the list item for Regulation 
Number CMS-1849-P. For further details on the contents of the tables 
referenced in this proposed rule, we refer readers to section VI. of 
the Addendum to this FY 2027 IPPS/LTCH PPS proposed rule.
    Readers who experience any problems accessing any of the tables 
that are posted on the CMS websites, as previously identified, should 
contact Michael Treitel, [email protected].

I. Executive Summary and Background

A. Executive Summary

1. Purpose and Legal Authority
    This FY 2027 IPPS/LTCH PPS proposed rule would make payment and 
policy changes under the Medicare inpatient prospective payment system 
(IPPS) for operating and capital-related costs of acute care hospitals 
as well as for certain hospitals and hospital units excluded from the 
IPPS. In addition, it would make payment and policy changes for 
inpatient hospital services provided by long-term care hospitals 
(LTCHs) under the long-term care hospital prospective payment system 
(LTCH PPS). This proposed rule also would make policy changes to 
programs associated with Medicare IPPS hospitals, IPPS-excluded 
hospitals, and LTCHs. We are also proposing to make changes relating to 
Medicare graduate medical education (GME) and nursing and allied health 
(NAH) education payments.
    We are proposing to adopt the Advance Care Planning electronic 
clinical quality measure (eCQM) in the Hospital Inpatient Quality 
Reporting, PPS-Exempt Cancer Hospital (PCH) Quality Reporting, and 
Medicare Promoting Interoperability Programs. We are proposing to adopt 
five modified claims-based, risk-standardized mortality measures in the 
Hospital Inpatient Quality Reporting Program and subsequently modify 
these measures in the Hospital Value-Based Purchasing Program.
    Other than these cross-program proposals, we are not proposing any 
updates for the Hospital Value-Based Purchasing Program or the Hospital 
Acquired-Conditions Reduction Program.
    In the Hospital Readmissions Reduction Program, we are proposing to 
adopt the Hospital 30-Day, All-Cause, Risk-Standardized Readmission 
Rate Following Sepsis Hospitalization measure.
    In addition to the cross-program proposals previously listed, in 
the Hospital Inpatient Quality Reporting Program, we are proposing to 
adopt two new quality measures, remove three measures, and modify three 
current measures. We are also proposing to modify the data reporting 
and submission requirements for electronic clinical quality measures 
(eCQMs) and the Maternal Morbidity structural measure.
    In addition to the cross-program proposal previously listed in the 
PCH Quality Reporting Program, we are proposing to adopt one new 
measure and remove one measure. We are also proposing to adopt data 
reporting and submission requirements for eCQMs.
    In addition to the cross-program proposal previously listed, in the 
Medicare Promoting Interoperability Program, we propose to remove two 
measures and two attestations; adopt a measure; modify one measure; 
adopt one additional eCQM in alignment with the Hospital Inpatient 
Quality Reporting Program; and remove three eCQMs in alignment with the 
Hospital Inpatient Quality Reporting Program.
    In the LTCH Quality Reporting Program (QRP), we are proposing to 
remove two measures, beginning with the FY 2028 LTCH QRP. We also 
propose the revision of the LTCH QRP Data Submission Deadlines 
beginning with the FY 2029 LTCH QRP. Finally, we are soliciting public 
comments on one Request for Information (RFI) on future measure 
concepts for the LTCH QRP.
    The Transforming Episode Accountability Model (TEAM), a mandatory 
alternative payment model that was finalized in the FY 2025 IPPS/LTCH 
PPS final rule (89 FR 68986), aims to improve beneficiary care through 
financial accountability for episodes categories that begin with one of 
the following procedures: coronary artery bypass graft (CABG), lower 
extremity joint replacement (LEJR), major bowel procedure, surgical 
hip/femur fracture treatment (SHFFT), and spinal fusion. TEAM tests 
whether financial accountability for these episode categories reduces 
Medicare expenditures while preserving or enhancing the quality of care 
for Medicare beneficiaries. In this proposed rule, we propose updates 
to TEAM that would modify policies affecting episode category triggers, 
quality measure assessment, and the construction of target prices. 
Additionally, we are soliciting public feedback on two Request for 
Information (RFIs) regarding ambulatory surgical center episodes and 
voluntary participation of hospitals with physician ownership.
    The Comprehensive Care for Joint Replacement CJR Expanded (CJR-X) 
Model builds upon the CJR Model test that ran from April 1, 2016 to 
December 31, 2024. Based on the strength of evidence from the CJR 
Model, the CMS Innovation Center is proposing to expand the model 
nationally, including U.S. Territories in FY 2028. The model would 
continue to focus on improving care and reducing spending for Medicare 
beneficiaries undergoing lower extremity joint replacement (LEJR) 
procedures. Participating hospitals would be held accountable for 
spending and quality of care during an inpatient stay or hospital 
outpatient procedure and for the 90 days following hospital discharge. 
If finalized, the CJR-X Model would be mandatory for acute care 
hospitals, except for those participating in TEAM, and acute care 
hospitals located in Maryland. CJR-X would include some modifications 
to the CJR Model. Some quality measures and payment methodology 
policies have been updated in response to CJR Model evaluation results, 
stakeholder feedback, and changes to national care delivery patterns 
among both CJR and non-CJR hospitals.
    Under various statutory authorities, we either discuss continued 
program implementation or propose changes to the Medicare IPPS, the 
LTCH PPS, other related payment methodologies and programs for FY 2027 
and subsequent fiscal years, and other policies and provisions included 
in this proposed rule. These statutory authorities include, but are not 
limited to, the following:
     Section 1886(d) of the Social Security Act (the Act), 
which sets forth a system of payment for the operating costs of acute 
care hospital inpatient stays under Medicare Part A (Hospital 
Insurance) based on prospectively set rates. Section 1886(g) of the Act 
requires that, instead of paying for capital-related costs of inpatient 
hospital services on a reasonable cost basis, the Secretary use a 
prospective payment system (PPS).

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     Section 1886(d)(1)(B) of the Act, which specifies that 
certain hospitals and hospital units are excluded from the IPPS. These 
hospitals and units are: rehabilitation hospitals and units; LTCHs; 
psychiatric hospitals and units; children's hospitals; cancer 
hospitals; extended neoplastic disease care hospitals; and hospitals 
located outside the 50 States, the District of Columbia, and Puerto 
Rico (that is, hospitals located in the U.S. Virgin Islands, Guam, the 
Northern Mariana Islands, and American Samoa). Religious nonmedical 
health care institutions (RNHCIs) are also excluded from the IPPS.
     Sections 123(a) and (c) of the Balanced Budget Refinement 
Act of 1999 (BBRA) (Public Law (Pub. L.) 106-113) and section 307(b)(1) 
of the Benefits Improvement and Protection Act of 2000 (BIPA) (Pub. L. 
106-554) (as codified under section 1886(m)(1) of the Act), which 
provide for the development and implementation of a prospective payment 
system for payment for inpatient hospital services of LTCHs described 
in section 1886(d)(1)(B)(iv) of the Act.
     Section 1814(l)(4) of the Act requires, beginning with FY 
2015, that CAHs that do not successfully demonstrate meaningful use of 
certified electronic health record technology (CEHRT) for an EHR 
reporting period for a cost reporting period shall be paid 100 percent 
of reasonable costs rather than 101 percent of reasonable costs.
     Section 1886(a)(4) of the Act, which specifies that costs 
of approved educational activities are excluded from the operating 
costs of inpatient hospital services. Hospitals with approved graduate 
medical education (GME) programs are paid for the direct costs of GME 
in accordance with section 1886(h) of the Act. Hospitals paid under the 
IPPS with approved GME programs are paid for the indirect costs of 
training residents in accordance with section 1886(d)(5)(B) of the Act.
     Section 1886(d)(5)(F) of the Act provides for additional 
Medicare IPPS payments to subsection (d) hospitals that serve a 
significantly disproportionate number of low-income patients. These 
payments are known as the Medicare disproportionate share hospital 
(DSH) adjustment. Section 1886(d)(5)(F) of the Act specifies the 
methods under which a hospital may qualify for the DSH payment 
adjustment.
     Section 1886(b)(3)(B)(viii) of the Act, which requires the 
Secretary to reduce the applicable percentage increase that would 
otherwise apply to the standardized amount applicable to a subsection 
(d) hospital for discharges occurring in a fiscal year if the hospital 
does not submit data on measures in a form and manner, and at a time, 
specified by the Secretary.
     Section 1886(r) of the Act, as added by section 3133 of 
the Affordable Care Act, which provides for a reduction to DSH payments 
under section 1886(d)(5)(F) of the Act and for an additional 
uncompensated care payment to eligible hospitals. Specifically, section 
1886(r) of the Act requires that, for fiscal year 2014 and each 
subsequent fiscal year, subsection (d) hospitals that would otherwise 
receive a DSH payment made under section 1886(d)(5)(F) of the Act will 
receive two separate payments: (1) 25 percent of the amount they 
previously would have received under the statutory formula for Medicare 
DSH payments in section 1886(d)(5)(F) of the Act if subsection (r) did 
not apply (``the empirically justified amount''); and (2) an additional 
payment for the DSH hospital's proportion of uncompensated care, 
determined as the product of three factors. These three factors are: 
(1) 75 percent of the payments that would otherwise be made under 
section 1886(d)(5)(F) of the Act, in the absence of section 1886(r) of 
the Act; (2) 1 minus the percent change in the percent of individuals 
who are uninsured; and (3) the hospital's uncompensated care amount 
relative to the uncompensated care amount of all DSH hospitals 
expressed as a percentage.
     Section 1886(m)(6) of the Act, as added by section 
1206(a)(1) of the Pathway for Sustainable Growth Rate (SGR) Reform Act 
of 2013 (Pub. L. 113-67) and amended by section 51005(a) of the 
Bipartisan Budget Act of 2018 (Pub. L. 115-123), which provided for the 
establishment of site neutral payment rate criteria under the LTCH PPS, 
with implementation beginning in FY 2016. Section 51005(b) of the 
Bipartisan Budget Act of 2018 amended section 1886(m)(6)(B) by adding 
new clause (iv), which specifies that the IPPS comparable amount 
defined in clause (ii)(I) shall be reduced by 4.6 percent for FYs 2018 
through 2027.
     Section 1899B of the Act, which provides for the 
establishment of standardized data reporting for certain post-acute 
care providers, including LTCHs.
     Section 1886(b)(3)(B)(viii) of the Act, which establishes 
the Hospital Inpatient Quality Reporting Program, requires the 
Secretary to reduce the applicable percentage increase that would 
otherwise apply to the standardized amount applicable to a subsection 
(d) hospital for discharges occurring in a fiscal year if the hospital 
does not submit data on measures in a form and manner, and at a time, 
specified by the Secretary.
     Section 1886(b)(3)(B)(ix) of the Act, which establishes 
payment adjustments under the Medicare Promoting Interoperability 
Program by requiring downward adjustments to the applicable percentage 
increase, beginning with FY 2015 (and beginning with FY 2022 for 
subsection (d) Puerto Rico hospitals), for eligible hospitals that do 
not successfully demonstrate meaningful use of CEHRT for an EHR 
reporting period for a payment adjustment year. Additionally, Section 
1886(n) of the Act establishes the requirements for an eligible 
hospital to be treated as a meaningful EHR user of CEHRT for an EHR 
reporting period for a payment adjustment year or, for purposes of 
subsection (b)(3)(B)(ix) of the Act, for a fiscal year.
     Section 1866(k) of the Act, which provides for the 
establishment of a quality reporting program for hospitals described in 
section 1886(d)(1)(B)(v) of the Act, referred to as ``PPS--exempt 
cancer hospitals.''
     Section 1886(o) of the Act, which requires the Secretary 
to establish a Hospital Value-Based Purchasing (VBP) Program, under 
which value-based incentive payments are made in a fiscal year to 
hospitals based on their performance on measures established for a 
performance period for such fiscal year.
     Section 1886(p) of the Act, which establishes a Hospital-
Acquired Condition (HAC) Reduction Program, under which payments to 
applicable hospitals are adjusted to provide an incentive to reduce 
hospital-acquired conditions.
     Section 1886(q) of the Act, as amended by section 15002 of 
the 21st Century Cures Act, which establishes the Hospital Readmissions 
Reduction Program. Under the program, payments for discharges from an 
applicable hospital as defined under section 1886(d) of the Act will be 
reduced to account for certain excess readmissions. Section 15002 of 
the 21st Century Cures Act directs the Secretary to compare hospitals 
with respect to the number of their Medicare-Medicaid dual-eligible 
beneficiaries in determining the extent of excess readmissions.
     Section 1886(m)(5) of the Act, which requires the 
Secretary to reduce by 2 percentage points the annual update to the 
standard Federal rate for discharges for a long-term care hospital 
(LTCH) during the rate year for LTCHs that do not submit data on 
quality

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measures in the form, manner, and at a time, specified by the 
Secretary.
     Section 1115A of the Act authorizes the testing of 
innovative payment and service delivery models that preserve or enhance 
the quality of care furnished to Medicare, Medicaid, and Children's 
Health Insurance Program (CHIP) beneficiaries while reducing program 
expenditures.
2. Summary of the Major Provisions
    The following is a summary of the major provisions in this proposed 
rule. In general, these major provisions are being proposed as part of 
the annual update to the payment policies and payment rates, consistent 
with the applicable statutory provisions. A general summary of the 
changes in this proposed rule is presented in section I.D. of the 
preamble of this proposed rule.
a. Proposed Requirements To Prohibit Unlawful Discrimination by 
Graduate Medical Education Programs and Nursing and Allied Health 
Education Programs
    In section V.F.2. of the preamble of this proposed rule, we discuss 
our proposal to require that, in addition to meeting other applicable 
requirements, an approved medical residency training program must not 
discriminate, or promote or encourage discrimination, on the basis of 
race, color, national origin, sex, age, disability, or religion, 
including the use of those characteristics or intentional proxies for 
those characteristics as a selection criterion for employment, program 
participation, resource allocation, or similar activities, 
opportunities, or benefits. In V.G.3. of the preamble of this proposed 
rule, we discuss similar proposals with respect to approved nursing and 
allied health education programs and accreditors.
b. Proposed Modifications to the Criteria for New Residency Programs
    In section V.F.3. of the preamble of this proposed rule, we discuss 
our proposed modifications to the criteria for identifying new 
residency programs under 42 CFR 413.79(l). We propose that, in addition 
to receiving initial accreditation by the appropriate accrediting body, 
for a residency program to be considered new, at least 90 percent of 
the individual residents must not have previous experience training in 
another program in the same specialty. The proposed requirement 
includes exceptions for small residency programs, displaced residents, 
and residents admitted via a binding third-party matching program. In 
determining whether a program is genuinely new for cap-building 
purposes, we would also no longer consider the previous employment of 
the program director or faculty.
c. Hospital Readmissions Reduction Program (HRRP)
    In this FY 2027 IPPS/LTCH PPS proposed rule, we are proposing to 
adopt the Hospital 30-Day, All-Cause, Risk-Standardized Readmission 
Rate Following Sepsis Hospitalization measure beginning with an early 
look for the FY 2028 program year, and use beginning with the FY 2029 
program year.
d. Hospital Value-Based Purchasing (VBP) Program
    In this FY 2027 IPPS/LTCH PPS proposed rule, we are proposing 
modifications to five condition-specific and procedure-specific 
mortality measures beginning with the FY 2032 program year: (1) 
Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate Following 
Acute Myocardial Infarction (AMI) Hospitalization measure; (2) Hospital 
30-Day, All-Cause, Risk-Standardized Mortality Rate Following Heart 
Failure Hospitalization measure; (3) Hospital 30-Day, All-Cause, Risk-
Standardized Mortality Rate Following Pneumonia Hospitalization 
measure; (4) Hospital 30-Day, All-Cause, Risk-Standardized Mortality 
Rate Following Chronic Obstructive Pulmonary Disease (COPD) 
Hospitalization measure; and (5) Hospital 30-Day, All-Cause, Risk-
Standardized Mortality Rate Following Coronary Artery Bypass Graft 
(CABG) Surgery measure. We also include requests for information on two 
topics: (1) measuring emergency room access and timeliness in Hospital 
Inpatient Quality Reporting and Value-Based Purchasing Programs; (2) 
potential future use of the Adult Community-Onset Sepsis Standardized 
Mortality Ratio measure in the Hospital Inpatient Quality Reporting 
Program.
e. Hospital Inpatient Quality Reporting Program
    In this FY 2027 IPPS/LTCH PPS proposed rule, we are proposing 
several changes to the Hospital Inpatient Quality Reporting Program. We 
are proposing to adopt three new measures: (1) Excess Days in Acute 
Care After Hospitalization for Diabetes measure beginning with the FY 
2029 payment determination; (2) Advance Care Planning eCQM beginning 
with the FY 2030 payment determination; (3) Hospital Harm-Postoperative 
Venous Thromboembolism eCQM beginning with the FY 2030 payment 
determination. We are also proposing to adopt five modified mortality 
measures in the Hospital Inpatient Quality Reporting Program beginning 
with the FY 2028 payment determination before subsequently modifying 
them in the Hospital Value-Based Purchasing Program: (1) Hospital 30-
Day, All-Cause, Risk-Standardized Mortality Rate Following Acute 
Myocardial Infarction (AMI) Hospitalization measure; (2) Hospital 30-
Day, All-Cause, Risk-Standardized Mortality Rate Following Heart 
Failure Hospitalization measure; (3) Hospital 30-Day, All-Cause, Risk-
Standardized Mortality Rate Following Pneumonia Hospitalization 
measure; (4) Hospital 30-Day, All-Cause, Risk-Standardized Mortality 
Rate Following Chronic Obstructive Pulmonary Disease (COPD) 
Hospitalization measure; and (5) Hospital 30-Day, All-Cause, Risk-
Standardized Mortality Rate Following Coronary Artery Bypass Graft 
(CABG) Surgery measure. We are proposing modifications to three claims-
based measures beginning with the FY 2028 payment determination: (1) 
Excess Days in Acute Care after Hospitalization for Acute Myocardial 
Infarction; (2) Excess Days in Acute Care after Hospitalization for 
Heart Failure; and (3) Excess Days in Acute Care after Hospitalization 
for Pneumonia. We are proposing to remove three measures: (1) Venous 
Thromboembolism Prophylaxis (VTE-1) eCQM; (2) Intensive Care Unit 
Venous Thromboembolism Prophylaxis (VTE-2) eCQM; and (3) Discharged on 
Antithrombotic Therapy (STK-02) eCQM beginning with the FY 2030 payment 
determination. We are also proposing changes to data reporting and 
submission requirements for eCQMs and structural measures: (1) 
mandatory reporting for the Malnutrition Care Score eCQM beginning with 
the FY 2030 payment determination; (2) mandatory reporting for the 
Hospital Harm eCQMs after 2 years of self-selected reporting beginning 
with the FY 2030 payment determination; and (3) an update to the 
reporting of the Maternal Morbidity Structural measure beginning with 
the FY 2028 payment determination. We also include requests for 
information on three topics: (1) measuring emergency room access and 
timeliness in Hospital Inpatient Quality Reporting and Value-Based 
Purchasing Programs; (2) potential future use of the Adult Community-
Onset Sepsis Standardized Mortality Ratio measure in the Hospital 
Inpatient Quality Reporting Program; and (3) Birthing-Friendly Hospital 
designation modification to expand designation criteria.

[[Page 19316]]

f. PPS-Exempt Cancer Hospital (PCH) Quality Reporting Program
    In this FY 2027 IPPS/LTCH PPS proposed rule, we are proposing to 
adopt two new measures: (1) Advance Care Planning eCQM beginning with 
the FY 2030 program year; and (2) Malnutrition Care Score eCQM 
beginning with the FY 2030 program year. We are also proposing to 
remove the COVID-19 Vaccination Coverage Among Healthcare Personnel 
(HCP COVID-19 Vaccination) measure beginning with the FY 2028 program 
year. In addition, we propose establishing reporting and submission 
requirements for eCQMs in this program.
g. Long-Term Care Hospital Quality Reporting Program (LTCH QRP)
    In the LTCH QRP, we are proposing to remove two measures, beginning 
with the FY 2028 LTCH QRP. We also propose the revision of the LTCH QRP 
Data Submission Deadlines beginning with the FY 2029 LTCH QRP. We are 
also soliciting public comments on one Request for Information (RFI) on 
future measure concepts for the LTCH QRP.
h. Medicare Promoting Interoperability Program
    We are proposing several changes to the Medicare Promoting 
Interoperability Program. Specifically, we are proposing: (1) to revise 
the definition of certified EHR technology (CEHRT) for the Medicare 
Promoting Interoperability Program based on Assistant Secretary for 
Technology Policy and Office of the National Coordinator for Health 
Information Technology (ASTP/ONC) proposals to update the ONC Health IT 
Certification Program; (2) to remove attestations related to ONC Direct 
Review and ONC-Authorized Certification Body (ONC-ACB) Surveillance; 
(3) to remove the Support Electronic Referral Loops by Sending Health 
Information measure and the Support Electronic Referral Loops by 
Receiving and Reconciling Health Information measure; (4) to modify the 
Electronic Prior Authorization measure; (5) to adopt the Unique Device 
Identifiers (UDIs) for Implantable Medical Devices measure within the 
Public Health and Clinical Data Exchange objective; (6) to adopt two 
new eCQMs in alignment with the Hospital Inpatient Quality Reporting 
Program; and (7) to remove three eCQMs in alignment with the Hospital 
Inpatient Quality Reporting Program.
i. Transforming Episode Accountability Model (TEAM)
    In section X.A. of the preamble of this proposed rule, we discuss 
the changes we propose for the Transforming Episode Accountability 
Model (TEAM). TEAM is a 5-year mandatory model tested under the 
authority of section 1115A of the Act, that started on January 1, 2026, 
and will end on December 31, 2030. We propose changes to a few areas of 
the model, including: (1) adding X Medicare Severity Diagnosis Related 
Groups (MS-DRGs) that would initiate a spinal fusion anchor 
hospitalization; (2) clarifying quality measure performance periods for 
certain quality measures; (3) using a rolling historical Composite 
Quality Score (CQS) baseline period for certain quality measures; (4) 
adding an Ambulatory Payment Classification (APC) and MS-DRG update 
factor to target prices; and (5) using the full baseline period to 
construct the prospective normalization factor. We are also soliciting 
feedback on two Request for Information (RFIs) for ambulatory surgical 
center episodes and potential voluntary participation of physician 
owned hospitals in future years of the model.
j. Comprehensive Care for Joint Replacement Expanded (CJR-X) Model
    In section X.C. of the preamble of this proposed rule, we propose 
expansion of the CJR Model. The CJR-X Model would be a mandatory model 
that would be tested under the authority of section 1115A of the Act, 
beginning on October 1, 2027 for acute care hospitals paid under the 
IPPS and OPPS with limited exclusions. Participating hospitals would be 
accountable for the cost and quality of care for LEJR episodes from the 
hospital inpatient or hospital outpatient admission through 90 days 
after the beneficiary is discharged from the hospital or hospital 
outpatient procedure. We propose multiple policies for CJR-X, 
including: (1) an October 1, 2027 start date; (2) acute care hospitals 
as the participant and accountable entity; (3) LEJR as the episode of 
care; (4) five quality measures and a composite quality score (CQS) to 
assess quality performance; (5) regional risk-adjusted target prices 
that include capped normalization and trend factors; (6) pricing-
specific policies for certain hospitals, such as low volume hospitals 
and high duals hospitals; (7) provider and beneficiary overlap 
permitted with most models; (8) allowing participant hospitals to have 
financial arrangements; (9) waiving certain Medicare Program 
requirements; (10) permitting beneficiary-identifiable and regional 
aggregated data sharing; and (11) options for Alternative Payment Model 
(APM) participation.
3. Summary of Costs and Benefits
    The following table provides a summary of the costs, savings, and 
benefits associated with the major provisions described in section 
I.A.2. of the preamble of this proposed rule.
BILLING CODE 4120-01-P

[[Page 19317]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.000


[[Page 19318]]


BILLING CODE 4120-01-C

B. Background Summary

1. Acute Care Hospital Inpatient Prospective Payment System (IPPS)
    Section 1886(d) of the Act sets forth a system of payment for the 
operating costs of acute care hospital inpatient stays under Medicare 
Part A (Hospital Insurance) based on prospectively set rates. Section 
1886(g) of the Act requires the Secretary to use a prospective payment 
system (PPS) to pay for the capital-related costs of inpatient hospital 
services for these ``subsection (d) hospitals.'' Under these PPSs, 
Medicare payment for hospital inpatient operating and capital-related 
costs is made at predetermined, specific rates for each hospital 
discharge. Discharges are classified according to a list of diagnosis-
related groups (DRGs).
    The base payment rate is comprised of a standardized amount that is 
divided into a labor-related share and a nonlabor-related share. The 
labor-related share is adjusted by the wage index applicable to the 
area where the hospital is located. If the hospital is located in 
Alaska or Hawaii, the nonlabor-related share is adjusted by a cost-of-
living adjustment (COLA) factor. This base payment rate is multiplied 
by the DRG relative weight.
    If the hospital treats a high percentage of certain low-income 
patients, it receives a percentage add-on payment applied to the DRG-
adjusted base payment rate. This add-on payment, known as the 
disproportionate share hospital (DSH) adjustment, provides for a 
percentage increase in Medicare payments to hospitals that qualify 
under either of two statutory formulas designed to identify hospitals 
that serve a disproportionate share of low-income patients. For 
qualifying hospitals, the amount of this adjustment varies based on the 
outcome of the statutory calculations. The Affordable Care Act revised 
the Medicare DSH payment methodology and provides for an additional 
Medicare payment beginning on October 1, 2013, that considers the 
amount of uncompensated care furnished by the hospital relative to all 
other qualifying hospitals.
    If the hospital is training residents in an approved residency 
program(s), it receives a percentage add-on payment for each case paid 
under the IPPS, known as the indirect medical education (IME) 
adjustment. This percentage varies, depending on the ratio of residents 
to beds.
    Additional payments may be made for cases that involve new 
technologies or medical services that have been approved for special 
add-on payments. In general, to qualify, a new technology or medical 
service must demonstrate that it is a substantial clinical improvement 
over technologies or services otherwise available, and that, absent an 
add-on payment, it would be inadequately paid under the regular DRG 
payment. In addition, certain transformative new devices and certain 
antimicrobial products may qualify under an alternative inpatient new 
technology add-on payment pathway by demonstrating that, absent an add-
on payment, they would be inadequately paid under the regular DRG 
payment.
    The costs incurred by the hospital for a case are evaluated to 
determine whether the hospital is eligible for an additional payment as 
an outlier case. This additional payment is designed to protect the 
hospital from large financial losses due to unusually expensive cases. 
Any eligible outlier payment is added to the DRG-adjusted base payment 
rate, plus any DSH, IME, and new technology or medical service add-on 
adjustments and, beginning in FY 2023 for IHS and Tribal hospitals and 
hospitals located in Puerto Rico, the new supplemental payment.
    Although payments to most hospitals under the IPPS are made on the 
basis of the standardized amounts, some categories of hospitals are 
paid in whole or in part based on their hospital-specific rate, which 
is determined from their costs in a base year. For example, sole 
community hospitals (SCHs) receive the higher of a hospital-specific 
rate based on their costs in a base year (the highest of FY 1982, FY 
1987, FY 1996, or FY 2006) or the IPPS Federal rate based on the 
standardized amount. SCHs are the sole source of care in their areas. 
Specifically, section 1886(d)(5)(D)(iii) of the Act defines an SCH as a 
hospital that is located more than 35 road miles from another hospital 
or that, by reason of factors such as an isolated location, weather 
conditions, travel conditions, or absence of other like hospitals (as 
determined by the Secretary), is the sole source of hospital inpatient 
services reasonably available to Medicare beneficiaries. In addition, 
certain rural hospitals previously designated by the Secretary as 
essential access community hospitals are considered SCHs.
    With the recent enactment of section 6202 of the Consolidated 
Appropriations Act (CAA), 2026 (Pub. L. 119-75), under current law, the 
Medicare-dependent, small rural hospital (MDH) program is effective 
through December 31, 2026. For discharges occurring on or after October 
1, 2007, but before January 1, 2027, an MDH receives the higher of the 
Federal rate or the Federal rate plus 75 percent of the amount by which 
the Federal rate is exceeded by the highest of its FY 1982, FY 1987, or 
FY 2002 hospital-specific rate. MDHs are a major source of care for 
Medicare beneficiaries in their areas. Section 1886(d)(5)(G)(iv) of the 
Act defines an MDH as a hospital that is located in a rural area (or, 
as amended by the Bipartisan Budget Act of 2018, a hospital located in 
a State with no rural area that meets certain statutory criteria), has 
not more than 100 beds, is not an SCH, and has a high percentage of 
Medicare discharges (not less than 60 percent of its inpatient days or 
discharges in its cost reporting year beginning in FY 1987 or in two of 
its three most recently settled Medicare cost reporting years). As 
section 6202 of the CAA, 2026 extended the MDH program through December 
31, 2026, beginning on January 1, 2027, the MDH program will no longer 
be in effect absent a change in law. Because the MDH program is not 
authorized by statute beyond December 31, 2026, beginning January 1, 
2027, all hospitals that previously qualified for MDH status under 
section 1886(d)(5)(G) of the Act will no longer have MDH status and 
will be paid based on the IPPS Federal rate.
    Section 1886(g) of the Act requires the Secretary to pay for the 
capital-related costs of inpatient hospital services in accordance with 
a prospective payment system established by the Secretary. The basic 
methodology for determining capital prospective payments is set forth 
in our regulations at 42 CFR 412.308 and 412.312. Under the capital 
IPPS, payments are adjusted by the same DRG for the case as they are 
under the operating IPPS. Capital IPPS payments are also adjusted for 
IME and DSH, similar to the adjustments made under the operating IPPS. 
In addition, hospitals may receive outlier payments for those cases 
that have unusually high costs. The existing regulations governing 
payments to hospitals under the IPPS are located in 42 CFR part 412, 
subparts A through M.
2. Hospitals and Hospital Units Excluded From the IPPS
    Under section 1886(d)(1)(B) of the Act, as amended, certain 
hospitals and hospital units are excluded from the IPPS. These 
hospitals and units are: Inpatient rehabilitation facility (IRF) 
hospitals and units; long-term care hospitals (LTCHs); Inpatient 
psychiatric hospitals (IPF) and units; children's hospitals; cancer 
hospitals; extended neoplastic disease care hospitals, and hospitals 
located outside the 50 States, the District of Columbia, and Puerto 
Rico (that is, hospitals located in the

[[Page 19319]]

U.S. Virgin Islands, Guam, the Northern Mariana Islands, and American 
Samoa). Religious nonmedical health care institutions (RNHCIs) are also 
excluded from the IPPS. Various sections of the Balanced Budget Act of 
1997 (BBA) (Pub. L. 105-33), the Medicare, Medicaid and SCHIP [State 
Children's Health Insurance Program] Balanced Budget Refinement Act of 
1999 (BBRA, Pub. L. 106-113), and the Medicare, Medicaid, and SCHIP 
Benefits Improvement and Protection Act of 2000 (BIPA, Pub. L. 106-554) 
provide for the implementation of PPSs for IRF hospitals and units, 
LTCHs, and psychiatric hospitals and units (referred to as inpatient 
psychiatric facilities (IPFs)). (We note that the annual updates to the 
LTCH PPS are included along with the IPPS annual update in this 
document. Updates to the IRF PPS and IPF PPS are issued as separate 
documents.) Children's hospitals, cancer hospitals, hospitals located 
outside the 50 States, the District of Columbia, and Puerto Rico (that 
is, hospitals located in the U.S. Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa), and RNHCIs continue to be paid 
solely under a reasonable cost-based system, subject to a rate-of-
increase ceiling on inpatient operating costs. Similarly, extended 
neoplastic disease care hospitals are paid on a reasonable cost basis, 
subject to a rate-of-increase ceiling on inpatient operating costs.
    The existing regulations governing payments to excluded hospitals 
and hospital units are located in 42 CFR parts 412 and 413.
3. Long-Term Care Hospital Prospective Payment System (LTCH PPS)
    The Medicare prospective payment system (PPS) for LTCHs applies to 
hospitals described in section 1886(d)(1)(B)(iv) of the Act, effective 
for cost reporting periods beginning on or after October 1, 2002. The 
LTCH PPS was established under the authority of sections 123 of the 
BBRA and section 307(b) of the BIPA (as codified under section 
1886(m)(1) of the Act). Section 1206(a) of the Pathway for SGR Reform 
Act of 2013 (Pub. L. 113-67) established the site neutral payment rate 
under the LTCH PPS, which made the LTCH PPS a dual rate payment system 
beginning in FY 2016. Under this statute, effective for LTCH's cost 
reporting periods beginning in FY 2016 cost reporting period, LTCHs are 
generally paid for discharges at the site neutral payment rate unless 
the discharge meets the patient criteria for payment at the LTCH PPS 
standard Federal payment rate. The existing regulations governing 
payment under the LTCH PPS are located in 42 CFR part 412, subpart O. 
Beginning October 1, 2009, we issue the annual updates to the LTCH PPS 
in the same documents that update the IPPS.
4. Critical Access Hospitals (CAHs)
    Under sections 1814(l), 1820, and 1834(g) of the Act, payments made 
to critical access hospitals (CAHs) (that is, rural hospitals or 
facilities that meet certain statutory requirements) for inpatient and 
outpatient services are generally based on 101 percent of reasonable 
cost. Reasonable cost is determined under the provisions of section 
1861(v) of the Act and existing regulations under 42 CFR part 413.
5. Payments for Graduate Medical Education (GME)
    Under section 1886(a)(4) of the Act, costs of approved educational 
activities are excluded from the operating costs of inpatient hospital 
services. Hospitals with approved graduate medical education (GME) 
programs are paid for the direct costs of GME in accordance with 
section 1886(h) of the Act. The amount of payment for direct GME costs 
for a cost reporting period is based on the hospital's number of 
residents in that period and the hospital's costs per resident in a 
base year. The existing regulations governing payments to the various 
types of hospitals are located in 42 CFR part 413. Section 
1886(d)(5)(B) of the Act provides that prospective payment hospitals 
that have residents in an approved GME program receive an additional 
payment for each Medicare discharge to reflect the higher patient care 
costs of teaching hospitals relative to non-teaching hospitals. The 
additional payment is based on the indirect medical education (IME) 
adjustment factor, which is calculated using a hospital's ratio of 
residents to beds and a multiplier, which is set by Congress. Section 
1886(d)(5)(B)(ii)(XII) of the Act provides that, for discharges 
occurring during FY 2008 and fiscal years thereafter, the IME formula 
multiplier is 1.35. The regulations regarding the indirect medical 
education (IME) adjustment are located at 42 CFR 412.105.

C. Summary of Provisions of Recent Legislation That Are Implemented in 
This Proposed Rule--Consolidated Appropriations Act, 2026 (Pub. L. 119-
75)

    Section 6201 of the Consolidated Appropriations Act (CAA), 2026 
extended through the portion of FY 2027 occurring on October 1, 2026, 
through December 31, 2026, the modified definition of a low-volume 
hospital and the methodology for calculating the payment adjustment for 
low-volume hospitals that had been in effect for FYs 2019 through 2025. 
Specifically, under section 1886(d)(12)(C)(i) of the Act, as amended, 
for FYs 2019 through 2026 and the portion of FY 2027 occurring on 
October 1, 2026 through December 31, 2026, a subsection (d) hospital 
qualifies as a low-volume hospital if it is more than 15 road miles 
from another subsection (d) hospital and has less than 3,800 total 
discharges during the fiscal year. Under section 1886(d)(12)(D) of the 
Act, as amended, for discharges occurring in FYs 2019 through December 
31, 2026, the Secretary determines the applicable percentage increase 
using a continuous, linear sliding scale ranging from an additional 25 
percent payment adjustment for low-volume hospitals with 500 or fewer 
discharges to a zero percent additional payment for low-volume 
hospitals with more than 3,800 discharges in the fiscal year.
    Section 6202 of the CAA, 2026 amended sections 1886(d)(5)(G)(i) and 
1886(d)(5)(G)(ii)(II) of the Act to provide for an extension of the MDH 
program through the first quarter of FY 2027 (that is, through December 
31, 2026).

D. Summary of the Proposed Provisions

    In this proposed rule, we set forth proposed payment and policy 
changes to the Medicare IPPS for FY 2027 operating costs and capital-
related costs of acute care hospitals and certain hospitals and 
hospital units that are excluded from IPPS. In addition, we set forth 
proposed changes to the payment rates, factors, and other payment and 
policy-related changes to programs associated with payment rate 
policies under the LTCH PPS for FY 2027.
    The following is a general summary of the changes that we are 
proposing to make:
1. Proposed Changes to MS-DRG Classifications and Recalibrations of 
Relative Weights
    In section II. of the preamble of the proposed rule, we included 
the following:
     Proposed changes to MS-DRG classifications based on our 
yearly review for FY 2027.
     Proposed recalibration of the MS-DRG relative weights.
     A discussion of the proposed FY 2027 status of new 
technologies approved for add-on payments for FY 2026, a presentation 
of our evaluation and analysis of the FY 2027 applicants for add-on 
payments for high-cost new medical services and technologies (including 
public input, as directed by

[[Page 19320]]

the Medicare Prescription Drug, Improvement, and Modernization Act of 
2003 (MMA) Public Law 108-173, obtained in a town hall meeting for 
applications not submitted under an alternative pathway) with proposals 
for certain FDA market authorized technologies, and a discussion of the 
proposed status of FY 2027 new technology applicants under the 
alternative pathways for certain medical devices and certain 
antimicrobial products.
     A proposal to repeal the alternative pathway for new 
technology add-on payment and OPPS device pass-through applications, 
and require all applicants for new technology add-on payments and OPPS 
device pass-through payments to demonstrate that they meet all 
eligibility requirements to receive add-on payments and/or pass-through 
payments (as discussed in section II.E.7. of the preamble of this 
proposed rule).
2. Proposed Changes to the Hospital Wage Index for Acute Care Hospitals
    In section III of the preamble of the proposed rule, we proposed 
revisions to the wage index for acute care hospitals and the annual 
update of the wage data. Specific issues addressed include, but are not 
limited to, the following:
     The proposed FY 2027 wage index update using wage data 
from cost reporting periods beginning in FY 2023.
     Calculation, analysis, and implementation of the proposed 
occupational mix adjustment to the wage index for acute care hospitals 
for FY 2027 based on the 2022 Occupational Mix Survey.
     Proposed application of the rural, imputed and frontier 
State floors, and proposed transition for the discontinuation of the 
low wage index hospital policy.
     Proposed revisions to the wage index for acute care 
hospitals, based on hospital redesignations and reclassifications under 
sections 1886(d)(8)(B), (d)(8)(E), and (d)(10) of the Act.
     Proposed adjustment to the wage index for acute care 
hospitals for FY 2027 based on commuting patterns of hospital employees 
who reside in a county and work in a different area with a higher wage 
index.
     The proposed transition for the discontinuation of the low 
wage index hospital policy.
     Proposed labor-related share for applying the FY 2027 wage 
index.
3. Payment Adjustment for Medicare Disproportionate Share Hospitals 
(DSHs) for FY 2027
    In section IV. of the preamble of the proposed rule, we discuss the 
following:
     Proposed calculation of Factor 1 and Factor 2 of the 
uncompensated care payment methodology.
     Proposed methodology for determining Factor 3 of the 
uncompensated care payment for FY 2027, which is the same methodology 
that was used for FY 2026.
     Proposed methodology for determining the amount of interim 
uncompensated care payments, using the average of the most recent 3 
years of discharge data.
4. Other Decisions and Proposed Changes to the IPPS for Operating Costs
    In section V. of the preamble of the proposed rule, we discussed 
proposed changes or clarifications of a number of the provisions of the 
regulations in 42 CFR parts 412 and 413, including the following:
     Proposed inpatient hospital market basket update for FY 
2027.
     Proposed updated national and regional case-mix values and 
discharges for purposes of determining RRC status.
     Proposed conforming amendments to reflect the statutory 
extension of the temporary changes to the low-volume hospital payment 
adjustment through December 31, 2026.
     Proposed conforming amendments to reflect the statutory 
extension of the MDH program through December 31, 2026.
     Proposed requirements to prohibit unlawful discrimination 
by graduate medical education programs and nursing and allied health 
education programs.
     Proposed modifications to the criteria for identifying new 
residency programs for purposes of direct graduate medical education 
(GME) and indirect medical education (IME) payments; proposed 
clarifications of the methodology for calculating direct GME and IME 
payments following a teaching hospital merger; and a notice of closure 
of two teaching hospitals and opportunities to apply for available 
slots.
     Proposed nursing and allied health (NAH) education program 
Medicare Advantage (MA) add-on rates and direct GME MA percent 
reductions for CY 2024; and proposed changes to the regulations for 
determining net costs of approved NAH education programs and changes to 
the procedures for allocating indirect NAH costs.
     Proposed update to and revision to the payment adjustment 
for certain immunotherapy cases.
     Proposed changes to the requirements of the Hospital 
Readmissions Reduction Program--Updating the proposed estimate of the 
financial impacts for the FY 2027 Hospital Readmissions Reduction 
Program.
     Proposed changes to the requirements of the Hospital 
Value-Based Purchasing Program--Updating the proposed estimate of the 
financial impacts for the FY 2027 Hospital Value-Based Purchasing 
Program.
     Proposed changes to the requirements of the Hospital-
Acquired Condition Reduction Program--Updating the proposed estimate of 
the financial impacts for the FY 2027 Hospital-Acquired Conditions 
Reduction Program.
     Discussion of and proposed changes relating to the 
implementation of the Rural Community Hospital Demonstration Program in 
FY 2027.
5. Proposed FY 2027 Policy Governing the IPPS for Capital-Related Costs
    In section VI. of the preamble of the proposed rule, we discuss the 
proposed payment policy requirements for capital-related costs and 
capital payments to hospitals for FY 2027.
6. Proposed Changes to the Payment Rates for Certain Excluded 
Hospitals: Rate-of-Increase Percentages
    In section VIII. of the preamble of the proposed rule, we discuss 
the following:
     Proposed changes to payments to certain excluded hospitals 
for FY 2027.
     Proposed continued implementation of the Frontier 
Community Health Integration Project (FCHIP) Demonstration.
7. Proposed Changes to the LTCH PPS
    In section VIII. of the preamble of the proposed rule, we set forth 
proposed changes to the LTCH PPS Federal payment rates, factors, and 
other payment rate policies under the LTCH PPS for FY 2027.
8. Proposed Changes Relating to Quality Data Reporting for Specific 
Providers and Suppliers
    In section IX. of the preamble of the proposed rule, we addressed 
the following:
     Proposed changes to the requirements for the Hospital 
Inpatient Quality Reporting Program.
     Proposed changes to the requirements for the PCH Quality 
Reporting Program.

[[Page 19321]]

     Proposed changes to the requirements for the Long-Term 
Care Hospital Quality Reporting Program.
     Proposed changes to requirements pertaining to eligible 
hospitals and CAHs participating in the Medicare Promoting 
Interoperability Program.
9. Other Proposals and Comment Solicitations Included in the Proposed 
Rule
    Section X.A. of the preamble of this proposed rule includes 
proposed changes to TEAM that would affect episodes, quality measure 
assessment, and pricing methodology. We are also soliciting comment on 
an ambulatory surgical center episode RFI and a voluntary hospitals 
with physician ownership RFI.
    Section X.B. of the preamble of the proposed rule, includes a 
proposed revision to the provider-based location criteria regulations 
applicable to off-campus facilities or organizations (Sec.  413.65).
    Section X.C. of the preamble of the proposed rule includes 
proposals for the CJR-X Model with policies affecting participation, 
episodes, quality measure and assessment, pricing methodology, model 
overlap, financial arrangements, waivers of Medicare Program 
requirements, data sharing, and APM options.
    In section X.D. of the preamble of this proposed rule, we are 
proposing the following:
     To reconcile non-renal organ acquisition costs for 
independent organ procurement organizations (IOPOs) and 
histocompatibility laboratories (HCLs), and to require the Medicare 
Administrative Contractor to establish, adjust if necessary, and 
publish the IOPO non-renal standard acquisition charges (SACs) and the 
HCL testing rates.
     To change certain existing policy and proposing to codify 
certain longstanding Medicare reasonable cost reimbursement policies, 
applicable to all providers reimbursed for all or for some of their 
services on a reasonable cost basis.
     To clarify and codify cost allocation principles.
     To codify the discretionary Administrator review of CMS 
reviewing official determinations with respect to appeals under Sec.  
413.420(g) for IOPOs and HCLs.
10. Other Provisions of the Proposed Rule
    Section X.A. of the preamble of the proposed rule includes our 
discussion of the MedPAC Recommendations.
    Section X.B. of the preamble of the proposed rule includes a 
descriptive listing of the public use files associated with the 
proposed rule.
    Section XI. of the preamble of the proposed rule includes the 
collection of information requirements for entities based on our 
proposals.
11. Determining Prospective Payment Operating and Capital Rates and 
Rate-of-Increase Limits for Acute Care Hospitals
    In sections II. and III. of the Addendum of this proposed rule, we 
set forth proposed changes to the amounts and factors for determining 
the proposed FY 2027 prospective payment rates for operating costs and 
capital-related costs for acute care hospitals, including cost-of-
living adjustment (COLA) factors for IPPS hospitals located in Alaska 
and Hawaii. We propose to establish the threshold amounts for outlier 
cases. In addition, in section V. of the Addendum of the proposed rule, 
we address the proposed update factors for determining the rate-of-
increase limits for cost reporting periods beginning in FY 2027 for 
certain hospitals excluded from the IPPS.
12. Determining Prospective Payment Rates for LTCHs
    In section V. of the Addendum of this proposed rule, we set forth 
proposed changes to the amounts and factors for determining the 
proposed FY 2027 LTCH PPS standard Federal payment rate and other 
factors used to determine LTCH PPS payments under both the LTCH PPS 
standard Federal payment rate and the site neutral payment rate in FY 
2027. We propose to establish the adjustments for the wage index, labor 
-related share, the cost-of-living adjustment, and high-cost outliers, 
including the applicable fixed-loss amounts and the LTCH cost-to-charge 
ratios (CCRs) for both payment rates.
13. Impact Analysis
    In Appendix A of this proposed rule, we set forth an analysis of 
the impact the proposed changes would have on affected acute care 
hospitals, LTCHs, and other entities.
14. Recommendation of Update Factors for Operating Cost Rates of 
Payment for Hospital Inpatient Services
    In Appendix B of this proposed rule, as required by sections 
1886(e)(4) and (e)(5) of the Act, we provide our recommendations of the 
appropriate percentage changes for FY 2027 for the following:
     A single average standardized amount for all areas for 
hospital inpatient services paid under the IPPS for operating costs of 
acute care hospitals (and hospital-specific rates applicable to SCHs 
and MDHs).
     Target rate-of-increase limits to the allowable operating 
costs of hospital inpatient services furnished by certain hospitals 
excluded from the IPPS.
     The LTCH PPS standard Federal payment rate and the site 
neutral payment rate for hospital inpatient services provided for LTCH 
PPS discharges.
15. Discussion of Medicare Payment Advisory Commission Recommendations
    Under section 1805(b) of the Act, MedPAC is required to submit a 
report to Congress, no later than March 15 of each year, in which 
MedPAC reviews and makes recommendations on Medicare payment policies. 
MedPAC's March 2026 recommendations concerning hospital inpatient 
payment policies address the update factor for hospital inpatient 
operating costs and capital-related costs for hospitals under the IPPS. 
We address these recommendations in Appendix B of the proposed rule. 
For further information relating specifically to the MedPAC March 2026 
report or to obtain a copy of the report, contact MedPAC at (202) 220-
3700 or visit MedPAC's website at https://www.medpac.gov.

II. Proposed Changes to Medicare Severity Diagnosis-Related Group (MS-
DRG) Classifications and Relative Weights

A. Background

    Section 1886(d) of the Act specifies that the Secretary shall 
establish a classification system (referred to as diagnosis-related 
groups (DRGs)) for inpatient discharges and adjust payments under the 
IPPS based on appropriate weighting factors assigned to each DRG. 
Therefore, under the IPPS, Medicare pays for inpatient hospital 
services on a rate per discharge basis that varies according to the DRG 
to which a beneficiary's stay is assigned. The formula used to 
calculate payment for a specific case multiplies an individual 
hospital's payment rate per case by the weight of the DRG to which the 
case is assigned. Each DRG weight represents the average resources 
required to care for cases in that particular DRG, relative to the 
average resources used to treat cases in all DRGs.
    Section 1886(d)(4)(C) of the Act requires that the Secretary adjust 
the DRG classifications and relative weights at least annually to 
account for changes in resource consumption. These

[[Page 19322]]

adjustments are made to reflect changes in treatment patterns, 
technology, and any other factors that may change the relative use of 
hospital resources.

B. Adoption of the MS-DRGs and MS-DRG Reclassifications

    For information on the adoption of the MS-DRGs in FY 2008, we refer 
readers to the FY 2008 IPPS final rule with comment period (72 FR 47140 
through 47189).
    For general information about the MS-DRG system, including yearly 
reviews and changes to the MS-DRGs, we refer readers to the previous 
discussions in the FY 2010 IPPS/RY 2010 LTCH PPS final rule (74 FR 
43764 through 43766) and the FYs 2011 through 2026 IPPS/LTCH PPS final 
rules (75 FR 50053 through 50055; 76 FR 51485 through 51487; 77 FR 
53273; 78 FR 50512; 79 FR 49871; 80 FR 49342; 81 FR 56787 through 
56872; 82 FR 38010 through 38085; 83 FR 41158 through 41258; 84 FR 
42058 through 42165; 85 FR 58445 through 58596; 86 FR 44795 through 
44961; 87 FR 48800 through 48891; 88 FR 58654 through 58787; 89 FR 
69000 through 69109; 90 FR 36549 through 36649, respectively).
    For discussion regarding our previously finalized policies 
(including our historical adjustments to the payment rates) relating to 
the effect of changes in documentation and coding that do not reflect 
real changes in case mix, we refer readers to the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 48799 through 48800).

C. Proposed Changes to Specific MS-DRG Classifications

1. Discussion of Changes to Coding System and Basis for Proposed FY 
2027 MS-DRG Updates
a. International Classification of Diseases, 10th Revision (ICD-10)
    Providers use the International Classification of Diseases, 10th 
Revision (ICD-10) coding system to report diagnoses and procedures for 
Medicare hospital inpatient services under the MS-DRG system. The ICD-
10 coding system includes the International Classification of Diseases, 
10th Revision, Clinical Modification (ICD-10-CM) for diagnosis coding 
and the International Classification of Diseases, 10th Revision, 
Procedure Coding System (ICD-10-PCS) for inpatient hospital procedure 
coding, as well as the ICD-10-CM and ICD-10-PCS Official Guidelines for 
Coding and Reporting.
b. Basis for Proposed FY 2027 MS-DRG Updates
    The deadline for interested parties to submit MS-DRG classification 
change requests for FY 2027 was October 20, 2025. All requests are 
submitted to CMS via Medicare Electronic Application Request 
Information SystemTM (MEARISTM), accessed at 
https://mearis.cms.gov. Specifically, as indicated on the 
MEARISTM site, the MS-DRG classification change request 
process may be used for requests to create, modify, or delete MS-DRGs, 
change ICD-10-CM diagnosis code(s) severity level designations, change 
ICD-10-PCS procedure code(s) Operating Room (O.R.) designations, or to 
review the CC Exclusions List or the surgical hierarchy.
    Within MEARISTM, we have built in several resources to 
support users, including a ``Resources'' section available at https://mearis.cms.gov/public/resources with technical support available under 
``Useful Links'' at the bottom of the MEARISTM site. 
Questions regarding the MEARISTM system can be submitted to 
CMS using the form available under ``Contact'', also at the bottom of 
the MEARISTM site.
    We note that the burden associated with this information collection 
requirement is the time and effort required to collect and submit the 
data in the request for MS-DRG classification changes to CMS. The 
aforementioned burden is subject to the Paperwork Reduction Act (PRA) 
of 1995 and approved under OMB control number 0938-1431 and has an 
expiration date of 01/31/2029.
    As we have discussed in prior rulemaking, we may not be able to 
fully consider all of the requests that we receive for the upcoming 
fiscal year. We have found that, with the implementation of ICD-10, 
some types of requested changes to the MS-DRG classifications require 
more extensive research to identify and analyze all of the data that 
are relevant to evaluating the potential change.
    As discussed in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36550), 
beginning with FY 2027 rulemaking we are no longer summarizing in the 
proposed and final rules those requests that are not able to be 
considered for the upcoming FY. As noted, requests that require more 
extensive analysis may include those involving multiple MS-DRGs, 
overlapping logic across multiple Major Diagnostic Categories (MDCs), 
special logic such as diagnosis codes combined with procedure codes, 
and/or complex logic including code clusters or multiple logic lists. 
In December 2025, we informed requestors via MEARISTM if 
their MS-DRG classification change request was not able to be 
considered with the FY 2027 rulemaking cycle.
    Interested parties should submit any MS-DRG classification change 
requests, including any comments and suggestions for FY 2028 
consideration by October 20, 2026 via MEARISTM at: https://mearis.cms.gov/public/home. We will inform requestors via MEARIS\TM\ if 
the MS-DRG classification change request is not able to be considered 
with the upcoming fiscal year rulemaking cycle.
    As we did for the FY 2026 IPPS/LTCH PPS proposed rule, for this FY 
2027 IPPS/LTCH PPS proposed rule we are providing a test version of the 
ICD-10 MS-DRG GROUPER Software, Version 44, so that the public can 
better analyze and understand the impact of the proposals included in 
this FY 2027 IPPS/LTCH PPS proposed rule. We note that this test 
software reflects the proposed GROUPER logic for FY 2027. Therefore, it 
includes the new diagnosis and procedure codes that are effective for 
FY 2027 as reflected in Table 6A.--New Diagnosis Codes--FY 2027 and 
Table 6B.--New Procedure Codes--FY 2027 associated with this FY 2027 
IPPS/LTCH PPS proposed rule and does not include the diagnosis codes 
that are invalid beginning in FY 2027 as reflected in Table 6C.--
Invalid Diagnosis Codes--FY 2027 and Table 6D.--Invalid Procedure 
Codes--FY 2027 associated with this FY 2027 IPPS/LTCH PPS proposed 
rule. These tables are not published in the Addendum to this FY 2027 
IPPS/LTCH PPS proposed rule, but are available on the CMS website at: 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html as described in section VI. of the 
Addendum to this FY 2027 IPPS/LTCH PPS proposed rule. Because the 
diagnosis and procedure codes no longer valid for FY 2027 are not 
reflected in the test software, we are making available a supplemental 
file in Table 6P.1a that includes the mapped Version 44 FY 2027 ICD-10-
CM codes and the deleted Version 43 FY 2026 ICD-10-CM codes and Table 
6P.1b that includes the mapped Version 44 FY 2027 ICD-10-PCS codes and 
the deleted Version 43.1 FY 2026 ICD-10-PCS codes that should be used 
for testing purposes with users' available claims data. Therefore, 
users will have access to the test software allowing them to build case 
examples that reflect the proposals included in this FY 2027 IPPS/LTCH 
PPS proposed rule. In addition, users will be able to view the draft 
version of the ICD-10 MS-DRG

[[Page 19323]]

Definitions Manual, Version 44 that contains the documentation for 
proposed FY 2027 ICD-10 MS-DRG GROUPER Version 44 logic changes and 
will also be able to view a draft version of the Definitions of 
Medicare Code Edits (MCE) Manual to review any changes that will become 
effective October 1 for FY 2027. As a result of new and modified code 
updates approved after the annual spring ICD-10 Coordination and 
Maintenance Committee meeting, any further changes to the MCE will be 
reflected in the finalized Definitions of Medicare Code Edits (MCE) 
Manual, made available in association with the annual IPPS/LTCH PPS 
final rule. We are making available the draft FY 2027 ICD-10 MCE 
Version 44 Manual file on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software.
    The MCE manual is comprised of two chapters: Chapter 1: Edit code 
lists provides a listing of each edit, an explanation of each edit, and 
as applicable, the diagnosis and/or procedure codes for each edit, and 
Chapter 2: Code list changes summarizes the changes in the edit code 
lists (for example, additions and deletions) from the prior release of 
the MCE software. The public may submit any questions, comments, 
concerns, or recommendations regarding the MCE to the CMS mailbox at 
[email protected] for our review and consideration.
    The test version of the ICD-10 MS-DRG GROUPER Software, Version 44, 
the draft version of the ICD-10 MS-DRG Definitions Manual, Version 44, 
the draft version of the Definitions of Medicare Code Edits Manual, 
Version 44, and the supplemental mapping files in Tables 6P.1a and 
6P.1b of the FY 2026 and FY 2027 ICD-10-CM diagnosis codes and ICD-10-
PCS procedure codes are available at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/MS-DRG-Classifications-and-Software.
    The following are the changes that we are proposing to the MS-DRGs 
for FY 2027. We are inviting public comments on each of the MS-DRG 
classification proposed changes, as well as our proposals to maintain 
certain existing MS-DRG classifications discussed in this FY 2027 IPPS/
LTCH PPS proposed rule. In some cases, we are proposing changes to the 
MS-DRG classifications based on our analysis of claims data and 
clinical appropriateness. In other cases, we are proposing to maintain 
the existing MS-DRG classifications based on our analysis of claims 
data and clinical appropriateness. For this FY 2027 IPPS/LTCH PPS 
proposed rule, our MS-DRG analysis was based on ICD-10 claims data from 
the September 2025 update of the FY 2025 MedPAR file, which contains 
hospital bills received from October 1, 2024 through September 30, 
2025. In our discussion of the proposed MS-DRG reclassification 
changes, we refer to these claims data as the ``September 2025 update 
of the FY 2025 MedPAR file.''
    In deciding whether to propose to make further modifications to the 
MS-DRGs for particular circumstances brought to our attention, we 
consider whether the resource consumption and clinical characteristics 
of the patients with a given set of conditions are significantly 
different than the remaining patients represented in the MS-DRG. We 
evaluate patient care costs using average costs and lengths of stay and 
rely on clinical factors to determine whether patients are clinically 
distinct or similar to other patients represented in the MS-DRG. In 
evaluating resource costs, we consider both the absolute and percentage 
differences in average costs between the cases we select for review and 
the remainder of cases in the MS-DRG. We also consider variation in 
costs within these groups; that is, whether observed average 
differences are consistent across patients or attributable to cases 
that are extreme in terms of costs or length of stay, or both. Further, 
we consider the number of patients who will have a given set of 
characteristics and generally prefer not to create a new MS-DRG unless 
it would include a substantial number of cases.
    In the FY 2021 IPPS/LTCH PPS final rule (85 FR 58448), we finalized 
our proposal to expand our existing criteria to create a new 
complication or comorbidity (CC) or major complication or comorbidity 
(MCC) subgroup within a base MS-DRG. Specifically, we finalized the 
expansion of the criteria to include the NonCC subgroup for a three-way 
severity level split. We stated we believed that applying these 
criteria to the NonCC subgroup would better reflect resource 
stratification as well as promote stability in the relative weights by 
avoiding low volume counts for the NonCC level MS-DRGs. We noted that 
in our analysis of MS-DRG classification requests for FY 2021 that were 
received by November 1, 2019, as well as any additional analyses that 
were conducted in connection with those requests, we applied these 
criteria to each of the MCC, CC, and NonCC subgroups.
    As discussed in the FY 2024 IPPS/LTCH PPS final rule (88 FR 58661), 
we continue to apply the criteria to create subgroups, including 
application of the NonCC subgroup criteria, in our annual analysis of 
MS-DRG classification requests, consistent with our approach since FY 
2021 when we finalized the expansion of the criteria to include the 
NonCC subgroup for a three-way severity level split. Accordingly, in 
our analysis of the MS-DRG classification requests for FY 2027 that we 
received by October 20, 2025, as well as any additional analyses that 
were conducted in connection with those requests, we applied these 
criteria to each of the MCC, CC, and NonCC subgroups, as described in 
the following table.

[[Page 19324]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.001

    In general, once the decision has been made to propose to make 
further modifications to the MS-DRGs as described previously, such as 
creating a new base MS-DRG, or in our evaluation of a specific MS-DRG 
classification request to split (or subdivide) an existing base MS-DRG 
into severity levels, all five criteria must be met for the base MS-DRG 
to be split (or subdivided) by a CC subgroup. We note that in our 
analysis of requests to create a new MS-DRG, we typically evaluate the 
most recent year of MedPAR claims data available. For example, we 
stated earlier that for this FY 2027 IPPS/LTCH PPS proposed rule, our 
MS-DRG analysis was based on ICD-10 claims data from the September 2025 
update of the FY 2025 MedPAR file. However, in our evaluation of 
requests to split an existing base MS-DRG into severity levels, as 
noted in prior rulemaking (80 FR 49368), we typically analyze the most 
recent two years of data. This analysis includes two years of MedPAR 
claims data to compare the data results from one year to the next to 
avoid making determinations about whether additional severity levels 
are warranted based on an isolated year's data fluctuation and also, to 
validate that the established severity levels within a base MS-DRG are 
supported. The first step in our process of evaluating if the creation 
of a new CC subgroup within a base MS-DRG is warranted is to determine 
if all the criteria is satisfied for a three-way split. In applying the 
criteria for a three-way split, a base MS-DRG is initially subdivided 
into the three subgroups: MCC, CC, and NonCC. Each subgroup is then 
analyzed in relation to the other two subgroups using the volume 
(Criteria 1 and 2), average cost (Criteria 3 and 4), and reduction in 
variance (Criteria 5). If the criteria fail, the next step is to 
determine if the criteria are satisfied for a two-way split. In 
applying the criteria for a two-way split, a base MS-DRG is initially 
subdivided into two subgroups: ``with MCC'' and ``without MCC'' (1_23) 
or ``with CC/MCC'' and ``without CC/MCC'' (12_3). Each subgroup is then 
analyzed in relation to the other using the volume (Criteria 1 and 2), 
average cost (Criteria 3 and 4), and reduction in variance (Criteria 
5). If the criteria for both of the two-way splits fail, then a split 
(or CC subgroup) would generally not be warranted for that base MS-DRG. 
If the three-way split fails on any one of the five criteria and all 
five criteria for both two-way splits (1_23 and 12_3) are met, we would 
apply the two-way split with the highest R2 value. We note that if the 
request to split (or subdivide) an existing base MS-DRG into severity 
levels specifies the request is for either one of the two-way splits 
(1_23 or 12_3), in response to the specific request, we will evaluate 
the criteria for both of the two-way splits; however, we do not also 
evaluate the criteria for a three-way split.
2. MDC 04 (Diseases and Disorders of the Respiratory System)
a. Short-Term External Heart Assist Systems
    For this FY 2027 IPPS/LTCH PPS proposed rule, we received a request 
to reassign cases reporting procedure codes describing the insertion of 
a short-term external heart assist device from MDC 04 MS-DRGs 163, 164, 
and 165 (Major Chest Procedures with MCC, with CC, and without CC/MCC, 
respectively) to MDC 05 (Diseases and Disorders of the Circulatory 
System) MS-DRG 215 (Other Heart Assist System Implant). According to 
the requestor, when patients are admitted with pulmonary conditions, 
such as pulmonary embolism, and have Impella[supreg] Ventricular 
Support Systems inserted for cardiac support during a thrombectomy 
procedure, MS-DRGs 163, 164, or 165 are assigned. The requestor stated 
that cases reporting procedure codes describing the insertion of 
Impella[supreg] Ventricular Support Systems that are assigned to MS-
DRGs 163, 164, or 165 require resources similar to cases that are 
assigned to MS-DRG 215. The requestor further requested that if CMS 
does not reassign cases reporting procedure codes describing the 
insertion of a short-term external heart assist device to MS-DRG 215, 
in the alternative, CMS should consider creating new MS-DRGs for cases 
reporting procedure codes describing the insertion of a short-term 
external heart assist device and major chest procedures.
    In reviewing this request, we note that acute massive pulmonary 
embolism can lead to right ventricular (RV) failure and cardiogenic 
shock, requiring urgent treatment. Thrombolytic therapy is the standard 
treatment for high-risk pulmonary embolism in hemodynamically unstable 
patients. However, in cases where thrombolytics are contraindicated or 
ineffective, mechanical circulatory support can serve as a rescue 
therapy. While extracorporeal membrane oxygenation (ECMO) is commonly 
utilized, Impella[supreg] Ventricular Support Systems can offer right 
ventricular support in patients with pulmonary embolism-induced 
cardiogenic shock.\1\ Impella[supreg] Ventricular Support Systems are

[[Page 19325]]

temporary heart assist devices intended to provide mechanical 
circulatory support by temporarily assisting the pumping function of 
the heart to provide adequate circulation of blood to critical organs 
while also allowing damaged heart muscle the opportunity to rest and 
recover in patients who need short-term support.
---------------------------------------------------------------------------

    \1\ Pandey, Asim MBBSa,*; Parajuli, Samriddhi 
MBBS\b\; Khanal, Prajwal MBBS\c\; Khanal, Kunjan MBBS\d\; Yadav, 
Ramsinhasan Prasad MBBS\e\. Hemodynamic improvement with Impella RP 
in acute massive pulmonary embolism: a narrative review of 
cardiovascular outcomes and pulmonary catheter pressure assessment. 
Annals of Medicine & Surgery 87(7):p 4303-4309, July 2025. [verbar] 
DOI: 10.1097/MS9.0000000000003431.
---------------------------------------------------------------------------

    The requestor identified cases reporting procedure codes describing 
the insertion of a short-term external heart assist device as reporting 
ICD-10-PCS codes 02HA3RZ (Insertion of short-term external heart assist 
system into the heart, percutaneous approach) and 5A0221D (Assistance 
with cardiac output using impeller pump, continuous). While we agree 
with the requestor that procedure code 02HA3RZ describes the insertion 
of a short-term external heart assist device, we note that there are 
additional ICD-10-PCS codes in the classification that also describe 
the insertion of a short-term external heart assist device. Therefore, 
in reviewing this request, we identified the five additional ICD-10-PCS 
procedure codes that also describe the insertion of a short-term 
external heart assist device listed in the following table and included 
these codes in our analysis.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.002

    To begin our analysis, we examined claims data from the September 
2025 update of the FY 2025 MedPAR file for MS-DRGs 163, 164, and 165 to 
identify cases reporting ICD-10-PCS codes 02HA0RS, 02HA0RZ, 02HA3RS, 
02HA3RZ, 02HA4RS, or 02HA4RZ. We agree with the requestor that when a 
patient is admitted and has an Impella[supreg] external heart assist 
device inserted, two ICD-10-PCS codes are assigned: a code that 
describes the insertion of the short-term external heart assist device 
and code 5A0221D that describes assistance with an impeller pump. 
Because the assistance with an Impella[supreg] is always coded with 
ICD-10-PCS code 5A0221D, we did not include this code in our analysis 
as the presence of the code would be expected to be identified in all 
cases. Our findings are shown in the following table.
[GRAPHIC] [TIFF OMITTED] TP14AP26.003

    As shown in the table, we identified a total of 13,396 cases within 
MS-DRG 163 with an average length of stay of 8.2 days and average costs 
of $40,641. Of these 13,396 cases, there were 17 cases that reported a 
procedure code describing the insertion of a short-term external heart 
assist device with an average length of stay of 8.4 days and average 
costs of $81,960. There were zero cases reporting a procedure code 
describing the insertion of a short-term external heart assist device 
in MS-DRGs 164 and 165. The data analysis shows that for the cases in 
MS-DRG 163 reporting a procedure code describing the insertion of a 
short-term external heart assist device, the average length of stay is 
longer, and the average costs are higher when compared to all cases in 
that MS-DRG.
    To further review the consumption of hospital resources for cases 
reporting a procedure code describing the insertion of a short-term 
external heart assist device with a principal diagnosis of a pulmonary 
condition, we reviewed the claims data to identify cases reporting ICD-
10-PCS codes 02HA0RS, 02HA0RZ, 02HA3RS, 02HA3RZ, 02HA4RS, or 02HA4RZ in 
other MS-DRGs in MDC 04 (Diseases and Disorders of the Respiratory 
System), specifically MS-DRGs 166, 167, and 168 (Other Respiratory 
System O.R. Procedures with MCC, with CC, and without CC/MCC, 
respectively) and MS-DRG 173 (Ultrasound Accelerated and Other 
Thrombolysis with Principal Diagnosis Pulmonary Embolism). We refer the 
reader to the ICD-10 MS-DRG Definitions Manual Version 43.1 (available 
on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for complete listing of the MS-DRGs in MDC 04. There were 
zero cases reporting a procedure code describing the insertion of a 
short-term external heart assist device with a principal diagnosis of a 
pulmonary condition in MS-DRGs 166, 167, 168 or MS-DRG 173.
    We then reviewed the claims data to further identify the principal 
diagnoses that were reported to determine what factors may also be 
contributing to the

[[Page 19326]]

higher average costs for the subset of cases that reported a procedure 
code describing the insertion of a short-term external heart assist 
device in MS-DRG 163. Our findings for the principal diagnoses that 
were reported within the claims data from the September 2025 update of 
the FY 2025 MedPAR file for this subset of cases are shown in the 
following table:
[GRAPHIC] [TIFF OMITTED] TP14AP26.004

BILLING CODE 4120-01-C
    As reflected in the table, all 17 cases reported a principal 
diagnosis of pulmonary embolism. While the results of the claims 
analysis as previously summarized indicate that the average costs of 
cases that reported a procedure code describing the insertion of a 
short-term external heart assist device are higher compared to the 
average costs for all cases in MS-DRG 163, we cannot ascertain from the 
claims data the additional resource use specifically attributable to 
the insertion of the short-term external heart assist device during the 
hospital stay as compared to the severity of illness of the patient and 
other circumstances of the admission. These data show that while cases 
that reported a procedure code describing the insertion of a short-term 
external heart assist device and a principal diagnosis of pulmonary 
embolism required greater resource utilization, there is a wide 
variance in average costs and average length of stay depending on the 
ICD-10-CM code reported as principal diagnosis. For example, the three 
cases that reported a principal diagnosis of I26.02 (Saddle embolus of 
pulmonary artery with acute cor pulmonale) had an average length of 
stay of 7.3 days and average costs of $61,956, while the two cases that 
reported a principal diagnosis of I26.92 (Saddle embolus of pulmonary 
artery without acute cor pulmonale) had an average length of stay of 
11.5 days and average costs of $111,452. When reviewing consumption of 
hospital resources for this subset of cases, it is unclear to what 
degree the higher average costs for these cases are attributable to the 
severity of illness of the patient and other circumstances of the 
admission as opposed to the insertion of a short-term external heart 
assist device. There may have been other factors contributing to the 
higher costs.
    During our review of this issue and the examination of the cases 
reporting procedure codes describing the insertion of a short-term 
external heart assist device found in MS-DRG 163, as noted previously, 
we found these cases all reported principal diagnosis of pulmonary 
embolism. The ICD-10-codes that describe pulmonary embolism are 
currently assigned to MDC 04 (Diseases and Disorders of the Respiratory 
System). The diagnoses assigned to MDC 04 reflect conditions associated 
with the respiratory system. In ICD-10 the body or organ system is the 
axis of the classification, and diagnosis codes are classified by the 
body or organ system affected. The concept of clinical coherence 
generally requires that the patient characteristics included in the 
definition of each MS-DRG relate to a common organ system or etiology 
and that a specific medical specialty should typically provide care to 
the patients in the DRG. These diagnosis codes would require 
reassignment to MDC 05 (Diseases and Disorders of the Circulatory 
System) to group to MDC 05 MS-DRG 215.
    Although MDC 04 diagnoses such as pulmonary embolism can lead to RV 
failure and cardiogenic shock, which might be reasonable indications 
for the insertion of a short-term external heart assist device, it 
would not be appropriate to move these diagnoses into MDC 05 because it 
could inadvertently cause cases reporting these same MDC 04 diagnoses 
with a respiratory system procedure to be assigned to an ``unrelated'' 
MS-DRG because whenever there is a surgical procedure reported on the 
claim that is unrelated to the MDC to which the case was assigned based 
on the principal diagnosis, it results in a MS-DRG assignment to a 
surgical class referred to as ``unrelated operating room procedures''.
    To further examine the impact of moving the diagnosis codes 
describing pulmonary embolism into MDC 05, we analyzed claims data for 
cases reporting a respiratory system O.R. procedure and a principal 
diagnosis of pulmonary embolism. Our findings are reflected in the 
following table.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.005


[[Page 19327]]


    As shown in the table, we identified 8,652 cases reporting a 
respiratory system O.R. procedure and a principal diagnosis of 
pulmonary embolism. If we were to move the diagnosis codes describing 
pulmonary embolism to MDC 05, these cases would be assigned to the 
surgical class referred to as ``unrelated operating room procedures'' 
as an unintended consequence because the surgical procedure reported on 
the claim would be considered unrelated to the MDC to which the case 
was assigned based on the principal diagnosis. The data also indicates 
that there were more cases that reported an O.R. procedure assigned to 
MDC 04 with a principal diagnosis describing pulmonary embolism than 
there were cases that reported a procedure code describing the 
insertion of a short-term external heart assist device, and a principal 
diagnosis of pulmonary embolism in MDC 04 (8,652 cases versus 17 cases) 
demonstrating that inpatient admissions for pulmonary embolism more 
typically have an O.R. procedure assigned to MDC 04 performed and do 
not report a procedure code describing the insertion of a short-term 
external heart assist device.
    We also reviewed the cases reporting an O.R. procedure assigned to 
MDC 04 and a principal diagnosis describing pulmonary embolism to 
identify the top ten O.R. procedures assigned to MDC 04 that were 
reported within the claims data for these cases. Our findings are shown 
in the following table:
[GRAPHIC] [TIFF OMITTED] TP14AP26.006

BILLING CODE 4120-01-C
    As noted previously, if we were to move the diagnosis codes 
describing pulmonary embolism to MDC 05, cases reporting one of the 
O.R. procedures assigned to MDC 04 shown in the table would be assigned 
to the surgical class referred to as ``unrelated operating room 
procedures'' as an unintended consequence. Based on the results of our 
analysis, we believe that the diagnosis codes describing pulmonary 
embolism are most clinically aligned with the other diagnosis codes 
assigned to MDC 04 (where they are currently assigned). Considering the 
impact that moving the diagnoses describing pulmonary embolism to MDC 
05 from MDC 04 would have, we also believe it would not be appropriate 
to move these diagnoses into MDC 05 because it would inadvertently 
cause cases reporting pulmonary embolism with O.R. procedures assigned 
to MDC 04 to be assigned to an unrelated MS-DRG.
    We then explored alternative options, as was requested. We noted 
that the 17 cases reporting a procedure code describing the insertion 
of a short-term external heart assist device had an average length of 
stay of 8.4 days and average costs of $81,960, as compared to the 
13,396 cases in MS-DRG 163 that had an average length of stay of 8.2 
days and average costs of $40,641. While these cases reporting a 
procedure code describing the insertion of a short-term external heart 
assist device had average costs that were $41,319 higher than the 
average costs of all cases in MS-DRG 163 (the highest severity level 
``with MCC'' MS-DRG), there were only a total of 17 cases. The results 
of the claims analysis demonstrate that there is not sufficient claims 
data in the MedPAR file on which to assess the resource use of cases 
reporting a procedure code describing the insertion of a short-term 
external heart assist device with a principal diagnosis from MDC 04 to 
consider the creation of a new MS-DRG. As noted previously, we cannot 
ascertain from the claims data the resource use specifically 
attributable to the insertion of a short-term external heart assist 
device during the hospital stay. Accordingly, we do not believe that 
the small subset of cases reporting a procedure code describing the 
insertion of a short-term external heart assist device with a principal 
diagnosis from MDC 04 warrants the creation of a new MS-DRG for these 
cases at this time.
    Lastly, we explored reassigning cases reporting a procedure code 
describing the insertion of a short-term external heart assist device 
with an O.R. procedure assigned to MDC 04 and a principal diagnosis 
from MDC 04 to other MS-DRGs within MDC 04. However, our review did not 
support reassignment of these cases to any other

[[Page 19328]]

surgical MS-DRGs in MDC 04, as MS-DRGs 163, 164 and 165, where the 
cases are currently assigned, represent the highest surgical class in 
the surgical hierarchy of MDC 04. The surgical hierarchy is an ordering 
of surgical classes from most resource-intensive to least resource-
intensive. Application of this hierarchy ensures that cases involving 
multiple surgical procedures are assigned to the MS-DRG associated with 
the most resource-intensive surgical class. We note that discussion of 
the surgical hierarchy is in section II.C.14. of the preamble of this 
FY 2027 IPPS/LTCH PPS proposed rule.
    While the data analysis reflects that cases that report a procedure 
code describing the insertion of a short-term external heart assist 
device with an O.R. procedure assigned to MDC 04 and a principal 
diagnosis from MDC 04 demonstrate higher average costs in their 
respective MS-DRGs, as discussed in prior rulemaking (86 FR 44878), the 
MS-DRG system is a system of averages and it is expected that within 
the diagnostic related groups, some cases may demonstrate higher than 
average costs, while other cases may demonstrate lower than average 
costs. We further note that section 1886(d)(5)(A) of the Act provides 
for Medicare payments to Medicare-participating hospitals in addition 
to the basic prospective payments for cases incurring extraordinarily 
high costs. We will continue to evaluate the clinical coherence and 
resource consumption costs that impact this subset of cases and their 
current MS-DRG assignment.
    Therefore, for the reasons stated previously, we are not proposing 
to reassign cases reporting procedure codes describing the insertion of 
a short-term external heart assist device from MDC 04 MS-DRGs 163, 164, 
and 165 (Major Chest Procedures with MCC, with CC, and without CC/MCC, 
respectively) to MDC 05 MS-DRG 215 (Other Heart Assist System Implant) 
for FY 2027.
b. Fluorescence Guided Procedures of the Trunk Region Using 
Pafolacianine
    CYTALUX[supreg] (pafolacianine) is a folate receptor-targeted 
fluorescent optical imaging agent used as an adjunct for the 
identification of malignant and non-malignant pulmonary lesions in 
adult patients with known or suspected lung cancer. CYTALUX[supreg] 
binds to the folate receptors on these cancer cells and is endocytosed 
into folate receptor positive cancer cells. CYTALUX[supreg] is 
administered intravenously prior to thoracic resection procedures and 
requires use of a near-infrared imaging (NIR) system to illuminate, 
thereby making cancer visible within the surgical field. 
CYTALUX[supreg] received FDA approval and is indicated as an adjunct 
for intraoperative identification of malignant and non-malignant 
pulmonary lesions in adult patients with known or suspected cancer in 
the lung. We note that CYTALUX[supreg] for the lung indication was 
approved for new technology add-on payments for FY 2024 (88 FR 58810 
through 58818), FY 2025 (89 FR 69120 through 69126), and FY 2026 (90 FR 
36668). We refer readers to section II.E.5 of the preamble of this FY 
2027 IPPS/LTCH PPS proposed rule for a discussion regarding the 
proposed FY 2027 status of technologies approved for FY 2026 new 
technology add-on payments, including CYTALUX[supreg] for the lung 
indication.
    We received a request from the manufacturer of CYTALUX[supreg] to 
modify the GROUPER logic of MS-DRGs 163, 164, and 165 (Major Chest 
Procedures with MCC, with CC, and without CC/MCC, respectively) by 
reassigning cases with an ICD-10-PCS code that describes fluorescence 
guided surgery using CYTALUX[supreg] (pafolacianine) for the lung 
indication that currently map to the lower severity level MS-DRG 165 
(without CC/MCC) to the higher severity level MS-DRG 163 (with MCC) or 
MS-DRG 164 (with CC). According to the requestor, the utilization of 
CYTALUX[supreg] does not change the surgical procedure but adds 
significant value and cost to the procedure by improving the surgeon's 
ability to identify and completely resect malignant tissue. The 
requestor performed their own analysis of Medicare claims data from 10/
1/2023-3/31/2025 and stated they found approximately 135 cases that 
used CYTALUX[supreg] in thoracic resections and that they expect 
adoption to accelerate as NIR systems become more widely available. 
Additionally, the requestor stated they found 35% of the cases using 
CYTALUX[supreg] within MS-DRG 165, and the average costs of these cases 
exceeded the average costs of cases that did not report the usage of 
CYTALUX[supreg]. When controlling for procedural and facility 
variation, the requestor stated they found that CYTALUX cases in MS-DRG 
165 were $1,515 (8%) higher in cost and that 60% of the cases using 
CYTALUX[supreg] in MS-DRG DRG 165 received new technology add-on 
payments averaging approximately $2,300. The requestor further asserted 
that their review of the Inpatient Standard Analytical Files (SAF) 
indicated underreporting of CYTALUX[supreg] costs due to unclear 
inpatient drug billing guidance. The requestor stated they found that 
64% of cases reporting an ICD-10-PCS code that describes fluorescence 
guided surgery using CYTALUX[supreg] (pafolacianine) for the lung 
indication fall into MS-DRGs 163 or 164. Additionally, the requestor 
stated while they found that the average length of stay for cases 
reporting CYTALUX[supreg] in MS-DRG 165 is lower (1.9 vs. 2.3 days), 
the cost profile of these cases aligns more closely with the higher-
severity MS-DRGs 164 and 163. According to the requestor, this 
misalignment leads to underpayment when CYTALUX[supreg] cases are 
grouped into MS-DRG 165, therefore CMS should reassign cases with an 
ICD-10-PCS code that describes fluorescence guided surgery using 
CYTALUX[supreg] (pafolacianine) for the lung indication from MS-DRG 165 
to MS-DRGs 163 or 164 to prevent barriers to hospital adoption of 
CYTALUX[supreg] as NIR system availability expands nationwide.
    The following ICD-10-PCS procedure codes describe fluorescence 
guided surgery using CYTALUX[supreg] (pafolacianine) for the lung 
indication.
BILLING CODE 4120-01-P

[[Page 19329]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.007

    In the ICD-10 MS-DRGs Definitions Manual Version 43.1, procedure 
codes 8E0W0EN, 8E0W3EN, 8E0W4EN, 8E0W7EN and 8E0W8EN are designated as 
non-O.R. procedures for purposes of MS-DRG assignment, therefore when 
CYTALUX[supreg] is utilized during a procedure for the lung indication, 
the ICD-10-PCS code describing the surgical procedure will determine 
the surgical MS-DRG assignment based on the principal diagnosis 
reported.
    We examined claims data from the September 2025 update of the FY 
2025 MedPAR file for MS-DRGs 163, 164, and 165 to identify cases 
reporting one of the five procedure codes listed previously that 
describe fluorescence guided surgery using CYTALUX[supreg] 
(pafolacianine). Our findings are shown in the following table:
[GRAPHIC] [TIFF OMITTED] TP14AP26.008

BILLING CODE 4120-01-C
    As shown in the table, in MS-DRG 163, we identified a total of 
13,396 cases with an average length of stay of 8.2 days and average 
costs of $40,641. Of those 13,396 cases, there were 14 cases reporting 
one of five procedure codes that describe fluorescence guided surgery 
using CYTALUX[supreg] (pafolacianine), with average costs lower than 
the average costs in the FY 2025 MedPAR file for MS-DRG 163 ($30,818 
compared to $40,641) and a shorter average length of stay (4.6 days 
compared to 8.2 days). In MS-DRG 164, we identified a total of 14,384 
cases with an average length of stay of 4 days and average costs of 
$23,393. Of those 14,384 cases, there were 87 cases reporting one of 
five procedure codes that describe fluorescence guided surgery using 
CYTALUX[supreg] (pafolacianine), with average costs lower than the 
average costs in the FY 2025 MedPAR file for MS-DRG 164 ($22,426 
compared to $23,393) and a shorter average length of stay (2.7 days 
compared to 4 days). In MS-DRG 165, we identified a total of 6,431 
cases with an average length of stay of 2.3 days and average costs of 
$17,981. Of those 6,431 cases, there were 58 cases reporting one of 
five procedure codes that describe fluorescence guided surgery using 
CYTALUX[supreg] (pafolacianine), with average costs higher than the 
average costs in the FY 2025 MedPAR file for MS-DRG 165 ($20,854 
compared to $17,981), and a shorter average length of stay (1.9 days 
compared to 2.3 days).
    The 58 cases in MS-DRG 165 reporting one of five procedure codes 
that describe fluorescence guided surgery using CYTALUX[supreg] 
(pafolacianine), without a secondary diagnosis code designated as a CC 
or MCC, have a shorter average length of stay (1.9 days versus 4 days) 
and lower average costs ($20,854 versus $23,393) when compared to all 
the cases in MS-DRG 164. Similarly, the 58 cases in MS-DRG 165 
reporting one of five procedure codes that describe fluorescence guided 
surgery using CYTALUX[supreg] (pafolacianine) have a shorter average 
length of stay (1.9 days versus 8.2 days) and lower average costs 
($20,854 versus $40,641) when compared to all the cases in MS-DRG 163. 
While the data analysis reflects that cases that report one of five 
procedure codes that describe fluorescence guided surgery using 
CYTALUX[supreg] (pafolacianine), without a secondary diagnosis code 
designated as a CC or MCC, demonstrate slightly higher average costs 
compared to all the cases in MS-DRG 165, we believe these cases are 
more suitably grouped to MS-DRG 165, where they are currently assigned, 
based on the closer similarities in resource utilization compared to 
all the cases in their respective MS-DRG. As discussed in prior 
rulemaking (86 FR 44878), the MS-DRG system is a system of averages and 
it is expected that within the diagnostic related groups, some cases 
may demonstrate higher than average costs, while other cases may 
demonstrate lower than average costs. We further note that section 
1886(d)(5)(A) of the Act provides for Medicare payments to Medicare-
participating hospitals in addition to the basic prospective payments 
for cases

[[Page 19330]]

incurring extraordinarily high costs. Moreover, the data do not 
indicate cases reporting procedure codes that describe fluorescence 
guided surgery using CYTALUX[supreg] (pafolacianine), without a 
secondary diagnosis code designated as a CC or MCC, utilize similar 
resources when compared to the cases assigned to MS-DRGs 163 and 164. 
We believe it would be advantageous to allow for more claims data to be 
analyzed in consideration of any future modifications to the MS-DRGs 
for which fluorescence guided surgeries using CYTALUX[supreg] 
(pafolacianine) are assigned. We will continue to evaluate the clinical 
coherence and resource consumption costs that impact this subset of 
cases and their MS-DRG assignment.
    Therefore, for the reasons stated, for FY 2027, we are proposing to 
maintain the current structure of MS-DRGs 163, 164, and 165.
3. MDC 05 (Diseases and Disorders of the Circulatory System): 
WiSE[supreg] CRT System
    The WiSE[supreg] CRT System is an implantable cardiac pacing system 
that delivers left ventricular endocardial pacing (LVEP) specifically 
for cardiac resynchronization therapy (CRT) without the use of wires or 
leads going into the heart. The WiSE[supreg] CRT System was designed to 
stimulate the endocardial surface of the left ventricle (LV) without a 
transvenous LV lead. Working in conjunction with previously implanted 
standard commercially available pacemakers or defibrillators, the 
WiSE[supreg] CRT System utilizes a wireless ultrasound-based energy 
transmission to a small, implanted electrode in the LV endocardium, 
which converts the ultrasound signal into pacing energy. According to 
the requestor, the WiSE[supreg] CRT System is engineered to benefit 
patients with heart failure who were previously untreatable with 
conventional CRT or who are considered at high risk for placement of a 
coronary sinus (CS) lead for CRT upgrades. The WiSE[supreg] CRT system 
consists of four components: the receiver, also known as the receiver 
electrode or electrode (implanted via catheter), delivery sheath, 
battery and transmitter. An external programmer is used to adjust 
parameters of the battery. The WiSE[supreg] CRT System was approved for 
new technology add-on payments for FY 2026 (90 FR 36821 through 36823). 
We refer readers to section II.E.4.a of the preamble of this proposed 
rule for a discussion regarding the proposed FY 2027 status of 
technologies approved for FY 2026 new technology add-on payments, 
including the WiSE[supreg] CRT System.
    In support of the new technology add-on payment application that 
was submitted for FY 2026 consideration, we received a request to 
create new ICD-10-PCS codes to differentiate cardiac procedures that 
involve the insertion of an implantable endocardial pacing system, such 
as the WiSE[supreg] CRT System, and a code proposal was displayed in 
association with the Spring 2025 ICD-10 Coordination and Maintenance 
Committee Update. As a result, effective October 1, 2025 (FY 2026), we 
implemented the following ICD-10-PCS procedure codes to identify the 
insertion of the WiSE[supreg] CRT System: X2HN37B (Insertion of 
endocardiac pacing electrode into left ventricle, percutaneous 
approach, new technology group 11) in combination with XHH80HB 
(Insertion of ultrasound transmitter and battery for endocardiac pacing 
electrode into chest subcutaneous tissue and fascia, open approach, new 
technology group 11). In the ICD-10 MS-DRGs Version 43.1, this 
procedure code combination is assigned to MS-DRGs 242, 243, and 244 
(Permanent Cardiac Pacemaker Implant with MCC, with CC, without MCC 
respectively) in a logic list referred to as ``CARDIAC PACEMAKER 
DEVICE'' that includes 720 other ICD-10-PCS procedure code combinations 
that identify the insertion of cardiac pacemakers. When reported as 
standalone procedures, ICD-10-PCS code X2HN37B is assigned to MDC 05 
MS-DRGs 264 (Other Circulatory System O.R. Procedures) and ICD-10-PCS 
code XHH80HB is assigned to MDC 05 MS-DRGs 258 and 259 (Cardiac 
Pacemaker Device Replacement with and without MCC, respectively). We 
refer the reader to the ICD-10 MS-DRG Definitions Manual Version 43.1, 
which is available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software for complete documentation of the GROUPER 
logic for MS-DRGs 242, 243, 244, 259, 259 and 264.
    For this FY 2027 IPPS/LTCH PPS proposed rule, we received a request 
to reassign the ICD-10-PCS procedure codes that describe the insertion 
of the WiSE[supreg] CRT System from MS-DRGs 242, 243, and 244 to MS-
DRGs 228 and 229 (Other Cardiothoracic Procedures with and without MCC, 
respectively). The requestor stated that insertion of the WiSE[supreg] 
CRT System electrode, which is described by ICD-10-PCS code X2HN37B, is 
similar both clinically and in terms of resource utilization, to the 
procedure codes that describe the insertion of leadless pacemakers that 
are currently assigned to MS-DRGs 228 and 229. The requestor further 
stated that the cases assigned to MS-DRGs 242, 243, and 244 involve 
traditional pacemaker devices with leads and are dissimilar to the 
WiSE[supreg] CRT System. According to the requestor, based on clinical 
function, implant methodology, and patient profile, the WiSE[supreg] 
CRT System more closely aligns with leadless pacemaker technology than 
with traditional pacemaker procedures as the use of multi-modality 
imaging, arterial navigation, and ultrasound-guided transmitter 
placement adds to both time and resource utilization, paralleling the 
procedural profile of leadless pacemaker implantation rather than 
traditional pacemaker surgery. Therefore, the requestor suggested that 
CMS reassign ICD-10-PCS code X2HN37B that describes the insertion of 
the electrode of the WiSE[supreg] CRT System to MS-DRGs 228 and 229 to 
appropriately group the procedure with the leadless pacemaker cases.
    To begin our analysis, we reviewed the procedure codes. As noted 
previously, a code proposal was displayed as part of the ICD-10 
Coordination and Maintenance Committee Spring 2025 update process to 
create unique ICD-10-PCS codes to describe the insertion of an 
implantable endocardial pacing system such as the WiSE[supreg] CRT 
System. As discussed in prior rulemaking (86 FR 44805), we used our 
established process to examine the MS-DRG assignment for the 
predecessor codes to determine the most appropriate MS-DRG assignment 
of new procedure codes X2HN37B and XHH80HB for FY 2026. Specifically, 
we review the predecessor code and MS-DRG assignment most closely 
associated with the new procedure code, and in the absence of claims 
data, we consider other factors that may be relevant to the MS-DRG 
assignment, including the severity of illness, treatment difficulty, 
complexity of service and the resources utilized in the diagnosis and/
or treatment of the condition. We have noted in prior rulemaking that 
this process does not automatically result in the new procedure code 
being assigned to the same MS-DRG or to have the same designation (O.R. 
versus Non-O.R.) as the predecessor code.
    Because the codes that describe the insertion of the WiSE[supreg] 
CRT System were effective October 1, 2025 (FY 2026), we would not 
expect the codes to be reported in the FY 2025 claims data used for 
this proposed rule. We examined claims data from the September 2025 
update of the FY 2025

[[Page 19331]]

MedPAR file for MS-DRGs 242, 243, and 244 and confirmed that there were 
zero cases reporting the procedure codes describing the insertion of 
the WiSE[supreg] CRT System across MS-DRGs 242, 243, and 244.
    We reviewed this issue and note the requestor is correct that the 
ICD-10-PCS codes that describe the insertion of intracardiac 
pacemakers, also known as ``leadless'' pacemakers, are currently 
assigned to MS-DRGs 228 and 229. In leadless pacemakers, the components 
are combined into a single device implanted within a heart chamber. 
They do not require a chest incision, a subcutaneous pocket or a 
tunneled lead. These devices are implanted via a femoral vein 
transcatheter approach and then advanced into the heart chamber, fixed 
to the chamber wall, and released. Conventional pacemakers are 
comprised of a metal generator (battery + electronics) placed under the 
skin in the upper chest, connected by one or more insulated wires 
(leads) threaded into the heart. We agree that leadless pacemakers and 
the WiSE[supreg] CRT System electrode are clinically coherent in that 
both eliminate the need for traditional, wire-based leads that run from 
the device to the heart muscle to transmit electrical impulses to the 
heart. We believe that the electrode of the WiSE[supreg] CRT System is 
more closely aligned with the leadless pacemakers assigned to MS-DRGs 
228 and 229 as compared to the insertion of conventional pacemakers 
assigned to MS-DRGs 242, 243, and 244. While our analysis did not 
identify any cases reporting the procedure code that describes the 
insertion of the electrode of the WiSE[supreg] CRT System, based on our 
review of the clinical issues, and recognizing that it is expected that 
some Medicare patients will receive the WiSE[supreg] CRT System on an 
inpatient basis, we believe reassigning ICD-10-PCS code X2HN37B that 
describes the insertion of the endocardiac pacing electrode into the 
left ventricle from MS-DRG 264 to MDC 05 MS-DRGs 228 and 229 would 
improve clinical coherence in these MS-DRGs.
    For these reasons, for FY 2027, we are proposing to reassign 
procedure code X2HN37B (Insertion of endocardiac pacing electrode into 
left ventricle, percutaneous approach, new technology group 11) from 
MS-DRG 264 to MS-DRGs 228 and 229 for clinical coherence and to better 
account for the anticipated resources required. We are also proposing 
to delete the procedure code combination of X2HN37B and XHH80HB from 
the GROUPER logic of MS-DRGs 242, 243, and 244. Under this proposal, 
procedure code X2HN37B will not need to be reported as part of a 
procedure code combination or procedure code ``cluster'' to satisfy the 
logic for assignment to MS-DRGs 228 and 229. When reported as a 
standalone procedure, ICD-10-PCS code XHH80HB (Insertion of ultrasound 
transmitter and battery for endocardiac pacing electrode into chest 
subcutaneous tissue and fascia, open approach, new technology group 11) 
will be assigned to proposed new MDC 05 MS-DRG 210 (Cardiac Pacemaker 
Revision or Device Replacement with MCC) and proposed new MS-DRG 211 
(Cardiac Pacemaker Revision or Device Replacement without MCC), which 
are discussed later in this section.
    Consistent with our annual review of the MS-DRGs, we consider 
changes in resource consumption, treatment patterns, technology, and 
any other factors that may change the relative use of hospital 
resources. In our review of the claims data from the September 2025 
update of the FY 2025 MedPAR file for this request, we identified a low 
volume of cases for MS-DRGs 258 and 259 (Cardiac Pacemaker Device 
Replacement with MCC and without MCC, respectively), where procedure 
code XHH80HB is assigned when reported as a standalone procedure in 
Version 43.1. Our findings are shown in the following table.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.009

    In light of the initial findings of only 35 cases for MS-DRG 258 
and 68 cases in MS-DRG 259, we further reviewed the MedPAR claims data 
for cases assigned to MS-DRGs 258 and 259 for the past 5 fiscal years. 
As reflected in the following tables, these data indicate that the 
number of cases grouping to MS-DRGs 258 and 259 has generally declined.
[GRAPHIC] [TIFF OMITTED] TP14AP26.010

[GRAPHIC] [TIFF OMITTED] TP14AP26.011


[[Page 19332]]


    We note that, if, during our annual MS-DRG analysis we identify 
that there are only a few patients in a respective MS-DRG, consistent 
with our established process in deciding whether to propose to make 
further modifications, we consider if there have been potential changes 
in the clinical characteristics of the patients, treatment patterns, or 
resource utilization. A principle of the MS-DRGs and the 
characteristics of a meaningful DRG classification scheme is the 
ability to detect such changes and accordingly, propose clinically 
appropriate modifications that are also consistent with resource 
utilization. We have noted in prior rulemaking that we prefer to have a 
substantial number of cases in an MS-DRG because having larger 
clinically cohesive groups within an MS-DRG provides greater stability 
for annual updates to the relative payment weights. In light of these 
considerations, and the low volume of cases in MS-DRGs 258 and 259, we 
believed it was appropriate to further analyze how to potentially 
reclassify these cases.
    Accordingly, using the September 2025 update of the FY 2025 MedPAR 
file, we examined whether there were other MS-DRGs to which these cases 
could appropriately be reassigned. We note that surgical MS-DRGs 260, 
261, and 262 (Cardiac Pacemaker Revision Except Device Replacement with 
MCC, with CC, and without CC/MCC, respectively) also include procedure 
codes related to cardiac pacemakers. A cardiac pacemaker device 
replacement (generator change) is a procedure to change an old battery 
(generator) for a new one. A cardiac pacemaker revision is a procedure 
that may involve replacing, moving, or adding leads, or fixing the 
pocket of the generator. While the terms are distinct, both cardiac 
pacemaker revision and cardiac pacemaker replacement procedures are 
performed in order to improve the way the cardiac pacemaker system 
works.
    As such, we reviewed the claims data from the September 2025 update 
of the FY 2025 MedPAR file for MS-DRGs 260, 261, and 262 to examine the 
resource utilization associated with cases assigned to these MS-DRGs. 
Our findings are shown in the following table.
[GRAPHIC] [TIFF OMITTED] TP14AP26.012

    As part of this analysis, we also reviewed the MS-DRGs for cases 
reporting ICD-10-PCS codes describing cardiac pacemaker device 
replacement procedures by severity claims data for MS-DRG 259 because 
this MS-DRG includes cases reporting a CC as well as cases reporting a 
NonCC. Therefore, we analyzed the claims data to determine the number 
of cases, the average length of stay, and average costs for the cases 
in MS-DRG 258 and 259 by severity level (1=MCC, 2=CC, and 3=NonCC). Our 
findings are shown in the following table.
[GRAPHIC] [TIFF OMITTED] TP14AP26.013

    As shown in the data, the 35 cases reporting an MCC in MS-DRG 258 
have an average length of stay of 7 days with average costs of $28,275, 
which is comparable to the cases in MS-DRG 260 reporting an MCC that 
have an average length of stay of 7.5 days with average costs of 
$29,313. The 42 cases reporting a CC in MS-DRG 259 have an average 
length of stay of 4 days with average costs of $18,246, which is 
comparable to the cases in MS-DRG 261 reporting an CC that have an 
average length of stay of 3.5 days with average costs of $17,151. The 
26 cases not reporting a CC or an MCC in MS-DRG 259 have an average 
length of stay of 2 days with average costs of $14,552, which is 
comparable to the cases in MS-DRG 262 not reporting a CC or an MCC that 
have an average length of stay of 2.5 days with average costs of 
$15,119.
    We reviewed these findings and believe that it may no longer be 
necessary to subdivide these MS-DRGs based on the cardiac pacemaker 
revision or device replacement procedure codes reported. We note that 
DRGs that differentiate cases reporting procedure codes describing 
cardiac pacemaker device replacement from cases reporting procedure 
codes describing cardiac pacemaker revisions have existed since 1983 
(48 FR 39878) when Congress amended the Social Security Act to include 
a national DRG-based hospital prospective payment system for all 
Medicare patients.
    Our analysis of claims data from the September 2025 update of the 
FY 2025 MedPAR file shows that in the 43 years since the DRGs for cases 
reporting cardiac pacemaker revision procedures and cases reporting 
cardiac pacemaker device replacement procedures were created, the 
resource utilization appears to now be aligned, and the cases are 
clinically coherent, and therefore we believe it is appropriate to now 
restructure these MS-DRGs accordingly. Specifically, we believe it 
would be appropriate to delete MS-DRGs 258, 259, 260, 261, and 262, and 
to create new MS-DRGs for cases reporting ICD-10-PCS codes describing 
cardiac pacemaker revision or device replacement procedures, based on 
our analysis and review of the cases grouping to these MS-DRGs.
    The following table illustrates our simulation of the proposal.
    [GRAPHIC] [TIFF OMITTED] TP14AP26.014
    

[[Page 19333]]


    Consistent with our established process as discussed in section 
II.C.1.b. of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule, 
once the decision has been made to propose to make further 
modifications to the MS-DRGs, such as creating a new base MS-DRG, all 
five criteria to create subgroups must be met for the base MS-DRG to be 
split (or subdivided) by a CC subgroup. Therefore, we applied the 
criteria to create subgroups in a base MS-DRG as discussed in section 
II.C.1.b. of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule. 
As shown, a three-way split of the proposed new MS-DRG failed to meet 
the criterion that there be at least a 20% difference in average costs 
between the CC and NonCC subgroup.
[GRAPHIC] [TIFF OMITTED] TP14AP26.015

    As discussed in section II.C.1.b. of the preamble of this FY 2027 
IPPS/LTCH PPS proposed rule, if the criteria for a three-way split 
fail, the next step is to determine if the criteria are satisfied for a 
two-way split. We therefore applied the criteria for a two-way split 
for the ``with MCC'' and ``without MCC'' subgroups and found that all 
five criteria were met. The following table illustrates our findings.
[GRAPHIC] [TIFF OMITTED] TP14AP26.016

BILLING CODE 4120-01-C
    For the proposed new MS-DRGs for cases reporting procedure codes 
describing cardiac pacemaker revision or device replacement, there is 
at least (1) 500 cases in the MCC group and 500 cases in the without 
MCC group; (2) 5 percent of the cases in the MCC group and 5 percent in 
the without MCC group; (3) a 20 percent difference in average costs 
between the MCC group and the without MCC group; (4) a $2,000 
difference in average costs between the MCC group and the without MCC 
group; and (5) a 3-percent reduction in cost variance, indicating that 
the proposed severity level splits increase the explanatory power of 
the base MS-DRG in capturing differences in expected cost between the 
proposed MS-DRG severity level splits by at least 3 percent and thus 
improve the overall accuracy of the IPPS payment system.
    Therefore, for FY 2027, we are proposing to delete MS-DRGs 258, 
259, 260, 261, and 262 and to create two new MS-DRGs with a two-way 
severity level split for cases reporting procedure codes describing 
cardiac pacemaker revision or device replacement in MDC 05. These 
proposed new MS-DRGs are proposed new MS-DRG 210 (Cardiac Pacemaker 
Revision or Device Replacement with MCC) and proposed new MS-DRG 211 
(Cardiac Pacemaker Revision or Device Replacement without MCC). We 
refer the reader to Table 6P.2a associated with this FY 2027 IPPS/LTCH 
PPS proposed rule (which is available on the CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index) for the list of procedure codes we are 
proposing to define in the logic for the proposed new MS-DRGs. We note 
that discussion of the surgical hierarchy for the proposed modification 
is discussed in section II.C.14. of the preamble of this FY 2027 IPPS/
LTCH PPS proposed rule.
    In our evaluation of this MS-DRG classification request, we also 
noted that we identified 7,772 cases in base MS-DRG 264 (Other 
Circulatory System O.R. Procedures) with an average length of stay of 
9.4 days and average costs of $29,545. Accordingly, in connection with 
our analysis we applied the five criteria as described in section 
II.C.1.b. of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule 
to determine if it would be appropriate to subdivide cases currently 
assigned to base MS-DRG 264 into severity levels. This analysis 
includes two years of MedPAR claims data to compare the data results 
from one year to the next to avoid making determinations about whether 
additional severity levels are warranted based on an isolated year's 
data fluctuation and also to validate that the established severity 
levels within a base MS-DRG are supported. Therefore, we reviewed the 
claims data for base MS-DRG 264 using the September 2024 update of the 
FY 2024 MedPAR file and the September 2025 update of the FY 2025 MedPAR 
file, which were used in our analysis of claims data for MS-DRG 
reclassification requests for FY 2026 and FY 2027, respectively. Our 
findings are shown in the following table:
[GRAPHIC] [TIFF OMITTED] TP14AP26.017

    First, we applied the criteria to create subgroups for the three-
way severity level split. We found that the criterion that there be at 
least 5% of the patients are in each of the MCC, CC, and NonCC 
subgroups failed based on the data in both the FY 2024 and FY 2025 
MedPAR files. The criterion that there be at least 500 cases for each 
subgroup also was

[[Page 19334]]

not met, as shown in the table for both years. Specifically, for the 
``with MCC'', ``with CC'', and ``without CC/MCC'' split, there were 
only 154 cases in the ``without CC/MCC'' subgroup based on the data in 
the FY 2024 MedPAR file and only 145 cases in the ``without CC/MCC'' 
subgroup based on the data in the FY 2025 MedPAR file.
    As discussed in section II.C.1.b. of the preamble of this FY 2027 
IPPS/LTCH PPS proposed rule, if the criteria for a three-way split 
fail, the next step is to determine if the criteria are satisfied for a 
two-way split. We therefore applied the criteria for a two-way split 
for the ``with MCC'' and ``without MCC'' subgroups and found that all 
five criteria were met for both years. For both years, there are at 
least (1) 500 cases in the MCC group and 500 cases in the without MCC 
group; (2) 5 percent of the cases in the MCC group and 5 percent in the 
without MCC group; (3) a 20 percent difference in average costs between 
the MCC group and the without MCC group; (4) a $2,000 difference in 
average costs between the MCC group and the without MCC group; and (5) 
a 3-percent reduction in cost variance, indicating that a ``with MCC'' 
and ``without MCC'' severity level split increases the explanatory 
power of the base MS-DRG in capturing differences in expected cost 
between the MS-DRG severity level splits by at least 3 percent and thus 
improves the overall accuracy of the IPPS payment system.
    As the claims data supports a two-way severity level split for 
cases reporting other circulatory system O.R. Procedures, for FY 2027, 
we are proposing to delete base MS-DRG 264 and proposing to create two 
new MS-DRGs with a two-way severity level split for cases reporting 
other circulatory system O.R. Procedures in MDC 05. These proposed new 
MS-DRGs are proposed new MS-DRG 361 (Other Circulatory System O.R. 
Procedures with MCC) and proposed new MS-DRG 362 (Other Circulatory 
System O.R. Procedures without MCC). Under this proposal, we would 
reassign the 1,447 listed procedure codes in the GROUPER logic of MS-
DRG 264 to new MS-DRGs 361 and 362. We refer the reader to the ICD-10 
MS-DRG Version 43.1 Definitions Manual (which is available via the 
internet on the CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/MS-DRG-Classifications-and-Software) for complete documentation of the GROUPER logic for MS-DRG 
264. We note that discussion of the surgical hierarchy for the proposed 
modification is discussed in section II.C.14. of the preamble of this 
FY 2027 IPPS/LTCH PPS proposed rule.
4. MDC 08 (Diseases and Disorders of the Musculoskeletal System and 
Connective Tissue)
a. Spinal Fusion and Pelvic Fixation Procedures
    As discussed in the FY 2026 IPPS/LTCH PPS proposed rule (90 FR 
18012 through 108013) and final rule (90 FR 36550 through 36552), we 
received a request to modify the GROUPER logic of new MS-DRG 426 
(Multiple Level Combined Anterior and Posterior Spinal Fusion Except 
Cervical with MCC or Custom-Made Anatomically Designed Interbody Fusion 
Device), new MS-DRG 427 (Multiple Level Combined Anterior and Posterior 
Spinal Fusion Except Cervical with CC), and new MS-DRG 428 (Multiple 
Level Combined Anterior and Posterior Spinal Fusion Except Cervical 
without CC/MCC); new MS-DRG 447 (Multiple Level Spinal Fusion Except 
Cervical with MCC or Custom-Made Anatomically Designed Interbody Fusion 
Device) and new MS-DRG 448 (Multiple Level Spinal Fusion Except 
Cervical without MCC); and MS-DRGs 456, 457, and 458 (Spinal Fusion 
Except Cervical with Spinal Curvature, Malignancy, Infection or 
Extensive Fusions with MCC, with CC, and without CC/MCC, respectively) 
by reassigning cases with an ICD-10-PCS code that describes fusion of a 
sacroiliac joint using an internal fixation device with tulip connector 
or insertion of an internal fixation device with tulip connector into a 
pelvic bone with another spinal fusion procedure code that currently 
map to the lower severity level MS-DRG to the highest severity level 
(with MCC) MS-DRG.
    In the FY 2026 IPPS/LTCH PPS final rule (90 FR 36552), we noted 
that we would continue to consider the request in connection with 
future rulemaking. We stated that the logic for MS-DRGs 456, 457, and 
458 is defined by extensive fusions, in addition to specific diagnosis 
code logic and that MS-DRGs 426, 427, 428, 447, and 448 had recently 
become effective October 1, 2024, which we were continuing to monitor. 
We also stated that the data analysis necessary to examine the 
intricate logic within the spinal fusion MS-DRGs outlined in the 
request is complex and would require additional time for careful 
consideration of case redistribution and potential relative weight 
impacts, in connection with other related spinal fusion procedure 
requests that may be discussed in future rulemaking.
    For this FY 2027 IPPS/LTCH PPS proposed rule, we received another 
request from the same manufacturer to reassign cases reporting the use 
of the iFuse BedrockTM Granite Implant System (also referred 
to as tulip connector) in spinal fusion procedures that currently map 
to the lower severity level MS-DRG to the highest severity level (with 
MCC) MS-DRG for the previously listed MS-DRGs that were discussed in 
connection with the FY 2026 IPPS/LTCH PPS rulemaking; MS-DRGs 426, 427, 
428, 447, 448, 456, 457, and 448.
    The requestor stated that historically, the junction between the 
lumbar spine and the sacrum (the L5-S1 spinal level), has been the most 
challenging level in which to achieve fusion. One of the primary 
reasons is because of our upright posture and normal spinal curvature 
that causes the L5-S1 intervertebral disc to become significantly 
inclined (tilted forward). The requester indicated that this results in 
significant shear load at this level, making this the level most likely 
to break down, and the level most challenging to stabilize during a 
fusion procedure. Per the requestor, the L5-S1 level is the junction 
between the mobile spine above and the much more rigid sacrum/pelvis 
below, leading to stress concentration at this level. The L5-S1 level 
experiences the most axial load as it is the base of the spine 
supporting the weight of the entire torso. Finally, the L5-S1 level 
experiences progressively more stress/load with more levels of the 
spine that are fused. The requestor stated that including additional 
levels in the fusion construct results in additional lengthening of the 
lever arm and increasing the loads acting at the L5-S1 level.
    The requestor stated that anchorage of spinal instrumentation into 
the sacrum is also challenging. The sacrum is narrow in the posterior 
to anterior dimension, resulting in the need to place shorter screws. 
The pedicles are larger diameter which results in diminished cortical 
engagement of the screws. According to the requestor, the bone 
structure of the sacrum is also suboptimal for screw anchorage as the 
density of the sacrum is frequently diminished, particularly in older 
adults, and especially in those with osteoporosis. The requestor stated 
that the problem also exists for older adults without osteoporosis.
    The requestor indicated that historically, surgeons added 
additional spinal instrumentation fixation anchor points into the 
pelvis (ilium and sacrum) to try and help solve the biomechanical and 
anatomic challenges previously described. These anchors (typically 
longer, larger diameter

[[Page 19335]]

pedicle-type screws) are placed into the ilium or placed crossing 
through the sacrum and then into the ilium. These screws are then 
connected to the spinal instrumentation and improve the biomechanical 
stability of the spinal instrumentation construct. The requestor stated 
that clinical practice has evolved to include pelvic fixation as an 
integral part of spinal instrumentation with multi-level fusions ending 
at the sacrum. The requestor stated that the current standard is to 
include pelvic fixation in fusions of four levels or more.\2\ The 
requestor added that recently, recommendations have been suggested to 
include pelvic fixation in some instances if the fusion includes three 
or more levels.\3\ The requestor stated that pelvic fixation is also 
considered in shorter level fusion procedures in clinical scenarios 
when there is increased risk of fusion failure, including patients with 
high pelvic incidence (PI), high body mass index (BMI), and conditions 
with sagittal plane deformity such as spondylolisthesis. The requestor 
stated that surgeons performing revision lumbar surgery to treat an 
existing pseudarthosis (that is, nonunion or failed fusion) commonly 
include pelvic fixation to provide additional stability in these 
challenging clinical situations.
---------------------------------------------------------------------------

    \2\ Lee CS, Chung SS, Choi SW, Yu JW, Sohn MS. Critical length 
of fusion requiring additional fixation to prevent nonunion of the 
lumbosacral junction. Spine (Phila Pa 1976). 2010 Mar 15;35(6):E206-
11. doi: 10.1097/BRS.0b013e3181bfa518. PMID: 20195201.
    \3\ Jankowski PP, Hashmi SZ, Lord EL, Heller JE, Essig DA, 
Passias PG, Tahmasebpour P, Capobianco RA, Kleck CJ, Polly DW, 
Zuckerman SL; Spinopelvic Study Group. Trends in Lumbosacral-Pelvic 
Fixation Strategies. Int J Spine Surg. 2025 Sep 2;19(4):402-408. 
doi: 10.14444/8765. PMID: 40514223.
---------------------------------------------------------------------------

    According to the requestor, although pelvic fixation strategies and 
implants have evolved since they were first introduced in the 1970s, 
including the development of sacro-alar-iliac (SAI) screws in 2007,\4\ 
challenges with pelvic fixation persist. Studies indicate a 17%-23% 
complication rate, including screw or rod breakages, loose screws, L5-
S1 pseudoarthrosis, and high revision rates.5 6 Many 
patients also experience sacroiliac (SI) joint pain and degeneration 
after multilevel fusions to the sacrum.\7\ The SI joint often exhibits 
pathological increased motion in spinal deformity patients \8\ and 
continues to move even after single-implant pelvic fixation 
9 10 leading to suboptimal outcomes and loss of correction.
---------------------------------------------------------------------------

    \4\ Kebaish, Khaled M. MD (Johns Hopkins Hospital); Gunne, 
Albert Pull ter MD; Mohamed, Ahmed S. MD; Zimmerman, Ryan; Ko, Phebe 
S. BS; Skolasky, Richard L. ScD; O'Brien, Joseph R. MD, MPH; 
Sponseller, Paul D. MD. A New Low Profile Sacro-Pelvic Fixation 
Using S2 Alar Iliac (S2AI) Screws in Adult Deformity Fusion to the 
Sacrum: A Prospective Study with Minimum Two-Year Follow-Up: E-
Poster #21. Spine: Affiliated Society Meeting Abstracts 10( ):p 170, 
September 2009.
    \5\ Eastlack RK, Soroceanu A, Mundis GM Jr, et al. Rates of 
Loosening, Failure, and Revision of Iliac Fixation in Adult 
Deformity Surgery. Spine (Phila Pa 1976). 2022;47(14):986-994. 
doi:10.1097/BRS.0000000000004356.
    \6\ Odland K, Chanbour H, Zuckerman SL, Polly DW Jr. Spinopelvic 
fixation failure in the adult spinal deformity population: 
systematic review and meta-analysis. Eur Spine J. 2024 
Jul;33(7):2751-2762. doi: 10.1007/s00586-024-08241-6. Epub 2024 Apr 
15. Erratum in: Eur Spine J. 2025 Sep 18. doi: 10.1007/s00586-025-
09232-x. PMID: 38619634.
    \7\ Manzetti M, Ruffilli A, Barile F, et al. Sacroiliac Joint 
Degeneration and Pain After Spinal Arthrodesis: A Systematic Review. 
Clin Spine Surg. 2023;36(4):169-182. doi:10.1097/
BSD.0000000000001341.
    \8\ Mikula AL, Fogelson JL, Oushy S, Pinter ZW, Peters PA, 
Abode-Iyamah K, Sebastian AS, Freedman B, Currier BL, Polly DW, 
Elder BD. Change in pelvic incidence between the supine and standing 
positions in patients with bilateral sacroiliac joint vacuum signs. 
J Neurosurg Spine. 2021 Jan 15;34(4):617-622. doi: 10.3171/
2020.8.SPINE20742. PMID: 33450735.
    \9\ Wei C, Zuckerman SL, Cerpa M, Ma H, Yang M, Yuan S, Lenke 
LG. Can pelvic incidence change after spinal deformity correction to 
the pelvis with S2-alar-iliac screws? Eur Spine J. 2021 
Sep;30(9):2486-2494. doi: 10.1007/s00586-020-06658-3. Epub 2020 Nov 
11. PMID: 33179128.
    \10\ Cunningham BW, Sponseller PD, Murgatroyd AA, Kikkawa J, 
Tortolani PJ. A comprehensive biomechanical analysis of sacral alar 
iliac fixation: an in vitro human cadaveric model. J Neurosurg 
Spine. 2019 Jan 4;30(3):367-375. doi: 10.3171/2018.8.SPINE18328. 
PMID: 30611149.
---------------------------------------------------------------------------

    The requestor stated that currently, greater biomechanical loads 
are being placed on spinopelvic constructs and surgeons are performing 
an increasing number of multilevel fusions. Evolving surgical 
techniques and instrumentation now allow for treatment of more severe 
deformities, as well as the performance of surgery on patients with a 
higher BMI and poor bone quality. According to the requestor, the iFuse 
BedrockTM Granite Implant System represents a next-
generation solution that allows for both pelvic fixation and sacroiliac 
joint fusion. The requestor stated this implant is the first Food and 
Drug Administration (FDA) cleared device designed for both 
purposes,\11\ featuring a composite construction that includes a strong 
inner threaded screw component and a 3D-printed porous fusion sleeve to 
promote osseointegration. The requestor reported that there have been 
no reported breakages of the implant in over 8,500 cases.\12\
---------------------------------------------------------------------------

    \11\ U.S. Food and Drug Administration. 510(k) Premarket 
Notification: iFuse Bedrock GraniteTM Implant System. 
Published May 26, 2022. Accessed October 15, 2024. 
www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?id=K220195
    \12\ Eastlack RK, Menger RP, Turner JD, Ashcraft KR, Carlton 
Recking W, Kleck CJ. Spinopelvic Fixation Using an Osseointegrative 
Implant: Analysis of Postmarket Surveillance to Determine the 
Failure Rate. Int J Spine Surg. 2025 Jun 12;19(3):273-278. doi: 
10.14444/8720. PMID: 39890424; PMCID: PMC12268591.
---------------------------------------------------------------------------

    The requestor asserted the iFuse BedrockTM Granite 
Implant System provides clinical advantages such as immediate and 
durable stability of the spinal instrumentation construct, reducing the 
likelihood of implant breakage due to its larger diameter and stronger 
construction. The requestor stated the porous fusion sleeve facilitates 
osseous integration, enhancing stability over time as it is designed 
for permanent fusion of the SI joint. Per the requestor, multiple 
implants can be placed on each side, either connected to a single rod 
or to separate rods, providing multiple points of fixation across the 
SI joints which increases construct stability and decreases SI joint 
motion. According to the requestor, the iFuse BedrockTM 
Granite Implant System requires no changes to physician workflow, 
requires no additional surgical dissection, does not increase surgical 
time, or alter the length of hospital stay. The requestor stated that 
the iFuse BedrockTM Granite Implant System is cleared for 
use with two navigation systems most frequently used in surgical 
facilities across the country.
    The ICD-10-PCS codes that may be reported to describe the iFuse 
BedrockTM Granite tulip connector device are:

[[Page 19336]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.018

    The previously listed procedure codes describing ``Insertion'' 
(ICD-10-PCS codes XNH6058, XNH6358, XNH7058, and XNH7358) are assigned 
to MS-DRGs 515, 516, and 517 (Other Musculoskeletal System and 
Connective Tissue O.R. Procedures with MCC, with CC, and without CC/
MCC, respectively) and the procedure codes describing ``Fusion'' (ICD-
10-PCS codes XRGE058, XRGE358, XRGF058, and XRGF358) are assigned to 
MS-DRGs 028 (Spinal Procedures with MCC), MS-DRG 029 (Spinal Procedures 
with CC or Spinal Neurostimulators), and MS-DRG 030 (Spinal Procedures 
without CC/MCC) under MDC 01 (Diseases and Disorders of the Nervous 
System) and MS-DRGs 402, 426, 427, 428, 447, 448, 450, 451, 456, 457, 
and 458 under MDC 08. We note that because the ICD-10-PCS codes 
describing ``Insertion'' of internal fixation device with tulip 
connector are not assigned to one of the spinal fusion MS-DRGs as a 
standalone procedure, another ICD-10-PCS code describing a spinal 
fusion procedure would need to be reported on the same claim to group 
to one of the previously listed spinal fusion MS-DRGs. We refer the 
reader to the ICD-10 MS-DRG Definitions Manual, Version 43.1, which is 
available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software for complete documentation of the GROUPER logic for the 
previously listed MS-DRGs.
    For this FY 2027 IPPS/LTCH PPS proposed rule, we also received a 
separate, but related request, from another manufacturer of devices 
used in the performance of a spinal fusion procedure. Specifically, we 
received a request to reassign cases reporting the use of the 
aprevo[supreg] Intervertebral Body Fusion Device (hereafter referred to 
as aprevo[supreg]) from MS-DRG 402 (Single Level Combined Anterior and 
Posterior Spinal Fusion Except Cervical) to MS-DRG 450 (Single Level 
Spinal Fusion Except Cervical with MCC or Custom-Made Anatomically 
Designed Interbody Fusion Device) or alternatively, to reassign cases 
reporting the use of aprevo[supreg] from MS-DRG 402 to MS-DRG 428, and 
separately, to reassign cases reporting the use of aprevo[supreg] from 
MS-DRG 428 to the higher severity level (with MCC) MS-DRG 426. We note 
that we have previously discussed the reassignment of cases reporting 
the use of the aprevo[supreg] technology in the FY 2024 IPPS/LTCH PPS 
proposed rule (88 FR 26726 through 26729) and final rule (88 FR 
58731through 58735, as corrected in the FY 2024 final rule correction 
notice at 88 FR 77211), and in the FY 2025 IPPS/LTCH PPS proposed rule 
(89 FR 35971 through 39585) and final rule (89 FR 69034 through 69061). 
We also note that the aprevo[supreg] technology was approved for new 
technology add-on payments for FY 2022 (86 FR 45127 through 45133), FY 
2023 (87 FR 49468 through 49469) and FY 2024 (88 FR 58802). We refer 
the reader to those rulemaking discussions for additional detailed 
information regarding the aprevo[supreg] technology.
    The ICD-10-PCS codes that may be reported to describe lumbar fusion 
procedures that use the aprevo[supreg] device are:

[[Page 19337]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.019

    We note that for the Spring 2026 ICD-10-PCS code update, the 
manufacturer of the aprevo[supreg] custom-made anatomically designed 
interbody fusion device submitted a request to revise the descriptions 
for the procedure codes that describe use of the aprevo[supreg] device. 
The manufacturer requested that the description of the previously 
listed codes (and nine other procedure codes that describe a cervical 
fusion using a custom-made anatomically designed interbody fusion 
device) be revised to specifically identify that the technology is 
designed from a virtual anatomic model. The agenda and related meeting 
materials for these specific topics are available on the CMS website 
at: https://www.cms.gov/medicare/coding-billing/icd-10-codes/icd-10-coordination-maintenance-committee-materials. We note that the deadline 
for receipt of public comments for the proposals included in the Spring 
2026 procedure code update is April 17, 2026; therefore, the final code 
decisions on these proposals are not yet available for inclusion in 
Table 6B.--New Procedure Codes associated with this FY 2027 IPPS/LTCH 
PPS proposed rule. Under our established process, if the new and 
revised procedure code proposals are finalized after review and 
consideration of public comments following the Spring procedure code 
update, the codes are specifically identified with a footnote in Table 
6B.--New Procedure Codes and Table 6F.--Revised Procedure Code Titles 
along with the MDC, MS-DRG assignment(s), and operating room (O.R.) or 
non-operating room (non-O.R.) designation that is made publicly 
available in association with the final rule on the CMS website at 
https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps. This established process includes initially reviewing 
the predecessor codes' MS-DRG assignment and designation, while 
considering other relevant factors (for example, severity of illness, 
treatment difficulty, complexity of service and the resources utilized 
in the diagnosis and/or treatment of the condition). The public may 
provide feedback on these finalized assignments, which is then taken 
into consideration for the following fiscal year.
    Each of the previously listed procedure codes is currently assigned 
to MDC 01 in MS-DRGs 028, 029, and 030, and to MDC 08 in MS-DRGs 402, 
426, 427, 428, 447, 448, 450, 451, 456, 457, and 458.
    As previously discussed, in the FY 2026 IPPS/LTCH PPS final rule 
(90 FR 36552), we noted that we would continue to consider the request 
to modify the GROUPER logic of MS-DRGs 426, 427, and 428 (with regard 
to the reassignment of cases with an ICD-10-PCS code that describes 
fusion of a sacroiliac joint using an internal fixation device with 
tulip connector or insertion of an internal fixation device with tulip 
connector into a pelvic bone with another spinal fusion procedure code 
that currently map to the lower severity level MS-DRG to the highest 
severity level (with MCC) MS-DRG) in connection with future rulemaking 
and stated that the logic for MS-DRGs 456, 457, and 458 is defined by 
extensive fusions. Under ICD-10-PCS, an extensive fusion procedure is 
defined as a spinal fusion procedure involving 8 or more thoracic 
vertebral joint levels. For example, ICD-10-PCS code 0RG8070 (Fusion of 
8 or more thoracic vertebral joints with autologous tissue substitute, 
anterior approach, anterior column, open approach) describes an 
extensive fusion procedure. An extensive fusion procedure may also be 
reported with a combination of codes (cluster) that includes at least 
one code describing fusion at the thoracic vertebral joint levels and 
at least one code describing fusion at the lumbar vertebral joint 
levels, such as ICD-10-PCS code 0RG7070 (Fusion of 2 to 7 thoracic 
vertebral joints with autologous tissue substitute, anterior approach, 
anterior column, open approach) and ICD-10-PCS code 0SG1070 (Fusion of 
2 or more lumbar vertebral joints with autologous tissue substitute, 
anterior approach, anterior column, open approach). We refer the reader 
to Table 6P. 3a that is publicly available in association with this FY 
2027 IPPS/LTCH PPS proposed rule on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps for the list of procedure codes we analyzed to identify 
an extensive fusion that is also reflected in the ICD-10 MS-DRG 
Definitions

[[Page 19338]]

Manual, Version 43.1 under MS-DRGs 456, 457, and 458.
    In review of these requests, we first analyzed claims data from the 
September 2025 update of the FY 2025 MedPAR file for MS-DRGs 028, 029, 
and 030 and for cases reporting a spinal fusion procedure with a 
custom-made anatomically designed interbody fusion device, cases 
reporting an SI joint fusion or spinal fusion procedure with insertion 
of an internal fixation device with tulip connector, and cases 
reporting an extensive fusion. We found zero cases reporting either 
technology across MS-DRGs 028, 029, and 030. We found 4 cases reporting 
an extensive fusion in MS-DRG 028, 4 cases reporting an extensive 
fusion in MS-DRG 029, and zero cases reporting an extensive fusion in 
MS-DRG 030. Findings from our analysis are shown in the following 
table.
[GRAPHIC] [TIFF OMITTED] TP14AP26.020

    As shown in the table, for MS-DRG 028, the four cases reporting an 
extensive fusion had a longer average length of stay (16.8 days versus 
12.2 days) and higher average costs ($122,802 versus $54,697) compared 
to the average length of stay and average costs of all the cases in MS-
DRG 028. After further review of the data we considered three of the 
four cases to be outlier cases (that is, unusually expensive cases) 
because the costs for each of the three cases exceeded $100,000 and the 
length of stay for each of the three cases was twice as long or longer 
than the average length of stay of all the cases in MS-DRG 028. For MS-
DRG 029, the four cases reporting an extensive fusion had a comparable 
average length of stay (6.8 days versus 6.1 days) and lower average 
costs ($31,250 versus $32,288) compared to the average length of stay 
and average costs of all the cases in MS-DRG 029.
    We note that although the logic for case assignment to MS-DRGs 028, 
029, and 030 includes procedure codes that describe a spinal fusion 
procedure with a custom-made anatomically designed interbody fusion 
device and procedure codes that describe an SI joint fusion with 
insertion of an internal fixation device with tulip connector, as well 
as procedure codes that describe an extensive fusion procedure, the MS-
DRG assigned is based on an MDC 01 principal diagnosis code that 
describes a disease or disorder of the nervous system, therefore, we 
would not expect to see a significant volume of cases reporting the 
procedure codes that describe a spinal fusion procedure with a custom-
made anatomically designed interbody fusion device, an SI joint fusion 
with insertion of an internal fixation device with tulip connector, or 
an extensive fusion procedure in the data. Additionally, we note that 
the indications for the aprevo[supreg] custom-made anatomically 
designed interbody fusion device include adults with spinal deformities 
and degenerative conditions and the indications for the iFuse 
BedrockTM Granite Implant System include patients with 
sacroiliac joint dysfunction that is a direct result of SI joint 
disruption and degenerative sacroiliitis as well as patients with 
acute, non-acute, and non-traumatic fractures involving the SI joint. 
The diagnosis codes describing these conditions are assigned to MDC 08, 
therefore, it is expected that the majority of cases reporting the 
procedure codes that describe a spinal fusion procedure with a custom-
made anatomically designed interbody fusion device, an SI joint fusion 
with insertion of an internal fixation device with tulip connector, or 
an extensive fusion procedure would group to the MDC 08 MS-DRGs instead 
of to MDC 01 MS-DRGs 028, 029, and 030. We refer the reader to the ICD-
10 MS-DRG Definitions Manual Version 43.1 (available on the CMS website 
at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for complete 
documentation of the GROUPER logic for MDC 01 and MDC 08.
    We then analyzed claims data for MS-DRGs 402, 426, 427, 428, 447, 
448, 450, 451, 456, 457, and 458 and for: (1) cases reporting a spinal 
fusion procedure with a custom-made anatomically designed interbody 
fusion device, (2) cases reporting an SI joint fusion or spinal fusion 
procedure with insertion of an internal fixation device with tulip 
connector, (3) cases reporting a fusion procedure with both 
technologies (that is, a single case reporting a procedure code 
describing a spinal fusion procedure with a custom-made anatomically 
designed interbody fusion device and another procedure code(s) 
describing an SI joint fusion or a spinal fusion procedure with 
insertion of an internal fixation device with tulip connector, (4) 
cases reporting an extensive fusion without either technology (that is, 
aprevo[supreg] or iFuse BedrockTM Granite Implant System), 
(5) cases reporting an extensive fusion with a custom-made anatomically 
designed interbody fusion device, (6) cases reporting an extensive 
fusion with an SI joint fusion or spinal fusion procedure with 
insertion of an internal fixation device with tulip connector, and (7) 
cases reporting an extensive fusion with both technologies.
    We note that the logic for case assignment to MS-DRGs 402, 447, 
448, 450 and 451 does not include the procedure codes or the procedure 
code clusters that describe an extensive fusion; therefore, no data for 
extensive fusion cases are reflected in the table that follows for 
those MS-DRGs. There were also zero cases found reporting both 
technologies in MS-DRG 402. In addition, because the logic for case 
assignment to MS-DRGs 426, 447, and 450 includes the reporting of a 
custom-made anatomically designed interbody fusion device to group to 
the respective MCC severity level MS-DRG, no data for cases reporting a 
custom-made anatomically designed interbody fusion device are reflected 
in the table that follows for MS-DRGs 427, 448, and 451. Findings from 
our analysis are shown in the following table.
BILLING CODE 4120-01-P

[[Page 19339]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.021


[[Page 19340]]


[GRAPHIC] [TIFF OMITTED] TP14AP26.022

BILLING CODE 4120-01-C
    The findings show that the cases reporting a spinal fusion 
procedure with the custom-made anatomically designed interbody fusion 
device, cases reporting an SI joint fusion or spinal fusion procedure 
with an internal fixation device with tulip connector, and cases 
reporting both technologies generally had higher average costs with 
variation in the average length of stay in comparison to the average 
costs and average length of stay of all the cases in their respective 
MS-DRG. The findings also show that cases reporting an extensive spinal 
fusion procedure with or without either of the technologies had average 
costs that are higher in

[[Page 19341]]

comparison to the average costs of all the cases in their respective 
MS-DRG and generally had a comparable or longer average length of stay 
in comparison to the average length of stay of all the cases in their 
respective MS-DRG.
    With regard to the request to reassign cases reporting a spinal 
fusion procedure with the custom-made anatomically designed interbody 
fusion device from MS-DRG 402 to MS-DRG 450 and the alternative request 
to reassign cases reporting a spinal fusion procedure with the custom-
made anatomically designed interbody fusion device from MS-DRG 402 to 
MS-DRG 428, we note that MS-DRG 402 is a base MS-DRG and therefore is 
not subdivided into severity level subgroups. Additionally, the logic 
for MS-DRG 402 is defined by single level combined anterior and 
posterior spinal fusion procedures (except cervical) and the logic for 
MS-DRG 428 is defined by multiple level combined anterior and posterior 
spinal fusion procedures. Therefore, the reassignment of cases 
reporting the use of a custom-made anatomically designed interbody 
fusion device from MS-DRG 402 to MS-DRG 428 would not be feasible and 
would not be consistent with the logic of these recently formed MS-DRGs 
which is intended to differentiate a single level combined anterior and 
posterior fusion from a multiple level combined anterior and posterior 
spinal fusion. As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 
FR 69058 through 69059), in response to public comments, we previously 
reviewed a request to reassign cases from the then proposed MS-DRG 402 
to the then proposed MS-DRG 428 (both subsequently finalized) from this 
same manufacturer.
    Although the findings from our analysis show that the average costs 
of the cases reporting the use of a custom-made anatomically designed 
interbody fusion device in MS-DRG 402 are higher compared to all the 
cases in MS-DRG 402 ($59,906 versus $38,483) with a longer average 
length of stay (3.3 days versus 2.9 days), and are more similar to the 
average costs of all the cases in MS-DRG 450 which are $48,325 with an 
average length of stay of 7.9 days, we disagree with the requested 
reassignment of cases reporting a spinal fusion procedure with the 
custom-made anatomically designed interbody fusion device from MS-DRG 
402 to MS-DRG 450 because MS-DRG 450 is subdivided into two severity 
level subgroups and defined by single level spinal fusions (except 
cervical), meaning either the anterior column of the spine or the 
posterior column of the spine is fused in a single operative episode. 
As previously discussed, the logic for case assignment to MS-DRG 402 
reflects single level combined anterior and posterior spinal fusion 
procedures, meaning both the anterior column of the spine and the 
posterior column of the spine are fused in a single operative episode. 
MS-DRG 402 is also not subdivided into severity levels. As such, the 
logic for case assignment to MS-DRGs 402 and 450 reflects two different 
types of spinal fusions that are clinically distinct procedures with 
different resources.
    As shown in our review of the requested reassignment of cases 
reporting the use of a custom-made anatomically designed interbody 
fusion device from MS-DRG 428 to MS-DRG 426, the average costs of the 
51 cases in MS-DRG 428 are higher compared to all the cases in MS-DRG 
428 ($75,595 versus $56,192) with a comparable average length of stay 
(3.2 days versus 3.0 days), and the average costs of all the cases in 
MS-DRG 426 are $99,235 with an average length of stay of 8.9 days. 
However, we also note that there are 142 cases reporting the use of a 
custom-made anatomically designed interbody fusion device in MS-DRG 426 
with average costs of $103,797 and an average length of stay of 5.6 
days. Because the logic for MS-DRG 426 includes cases that are 
reassigned from MS-DRG 427 reporting the use of a custom-made 
anatomically designed interbody fusion device with a CC, we expanded 
our analysis to identify how many of the 142 cases would otherwise have 
grouped to MS-DRG 427 in the absence of the current logic. Of the 142 
cases reporting the use of a custom-made anatomically designed 
interbody fusion device in MS-DRG 426, we found 22 cases were reported 
with an MCC secondary diagnosis with average costs of $143,062 and an 
average length of stay of 8.8 days and 120 cases were reported with a 
CC secondary diagnosis with average costs of $96,598 and an average 
length of stay of 5.1 days. We note that, as reflected in the 
previously displayed table, the average costs of all the cases in MS-
DRG 427 is $68,506.
    As shown in our review of MS-DRG 426, the 154 cases reporting a 
fusion procedure with an internal fixation device with tulip connector 
had average costs of $134,327 with an average length of stay of 9.3 
days in comparison to the average costs of all the cases in MS-DRG 426 
of $99,235 with an average length of stay of 8.9 days. We also 
recognized a similar pattern in MS-DRGs 427, 428, 447, 448, 456, 457, 
and 458 where the average costs for cases reporting a fusion procedure 
with an internal fixation device with tulip connector had higher 
average costs and a longer or comparable average length of stay 
compared to the average costs and average length of stay of all the 
cases in their respective MS-DRG.
    Relatedly, our findings for cases reporting an extensive fusion 
without either technology and our findings for cases reporting an 
extensive fusion with either or both technologies for MS-DRGs 426, 427, 
and 428 and MS-DRGs 456, 457, and 458 demonstrate higher average costs 
in comparison to the average costs of all the cases in their respective 
MS-DRG, including at the MCC level. Specifically, our data analysis 
shows that cases reporting an extensive fusion without either 
technology currently grouping to MS-DRGs 426, 427, and 428 have higher 
average costs ($128,537, $103,226, and $81,054, respectively) compared 
to the average costs of all the cases in their respective MS-DRG 
($99,235, $68,506, and $56,192, respectively). Similarly, cases 
reporting an extensive fusion without either technology currently 
grouping to MS-DRGs 456, 457, and 458 have higher average costs 
($92,132, $66,745, and $57,964, respectively) compared to the average 
costs of all the cases in their respective MS-DRG ($79,972, $56,069, 
and $40,771, respectively). Our data analysis also shows that cases 
reporting an extensive fusion with either or both technologies 
currently grouping to MS-DRGs 426, 427, and 428 have higher average 
costs compared to the average costs of all the cases in their 
respective MS-DRG. Overall, the 229 cases (65 + 151 + 13 = 229) in MS-
DRG 426 reporting an extensive fusion with either or both technologies 
have average costs of $153,092 and an average length of stay of 10.3 
days compared to the average cost and average length of stay of all the 
cases in MS-DRG 426 ($99,235 and 8.9 days, respectively). The 247 cases 
in MS-DRG 427 reporting an extensive fusion with either or both 
technologies have costs of $129,777 and a length of stay of 7.0 days 
compared to the average cost and average length of stay of all the 
cases in MS-DRG 427 ($68,506 and 4.7 days, respectively). The 26 cases 
(2 + 22 + 2 = 26) in MS-DRG 428 reporting an extensive fusion with 
either or both technologies have average costs of $91,261 and an 
average length of stay of 6.1 days compared to the average cost and 
average length of stay of all the cases in MS-DRG 428 ($56,192 and 3.0 
days, respectively). Additionally, cases reporting an extensive fusion 
with either or both technologies currently grouping to MS-DRGs 456, 
457, and 458

[[Page 19342]]

have higher costs and a longer length of stay compared to the average 
costs and average length of stay of all the cases in their respective 
MS-DRG. The 60 cases in MS-DRG 456 reporting an extensive fusion with 
either or both technologies have a cost of $136,660 and a length of 
stay of 12.7 days, the 121 cases in MS-DRG 457 reporting an extensive 
fusion with either or both technologies have a cost of $91,823 and a 
length of stay of 6.6 days, and the 10 cases in MS-DRG 458 reporting an 
extensive fusion with either or both technologies have a cost of 
$62,304 and a length of stay of 4.2 days.
    Based on our review and analysis, we disagree with the requested 
reassignment of cases from the lower severity level to the higher 
severity level MS-DRG for cases reporting use of the aprevo[supreg] 
custom-made anatomically designed interbody fusion device, as well as 
for cases reporting use of the iFuse BedrockTM Granite 
Implant System. We believe that each technology is indicated for use in 
complex spinal fusion procedures and requires increased resource 
utilization. If we were to reassign cases from the lower severity level 
to the higher severity level, that would not account for the cases at 
the MCC level that are unable to be reassigned. Specifically, the cases 
reporting use of the aprevo[supreg] custom-made anatomically designed 
interbody fusion device and cases reporting use of the iFuse 
BedrockTM Granite Implant System at the MCC level would 
continue to have higher average costs and a longer average length of 
stay compared to all the other cases at the MCC level.
    We also believe that extensive spinal fusion procedures, with or 
without the use of either or both technologies, also demonstrate 
increased resource utilization because extensive spinal fusion 
procedures address various spinal deformities across multiple spinal 
vertebral joint levels.
    As such, to address the differences in resource utilization and 
additional treatment options for the patients whose spinal condition 
requires an extensive fusion procedure or a complex spinal fusion 
procedure that uses either the aprevo[supreg] custom-made anatomically 
designed interbody fusion device or the iFuse BedrockTM 
Granite Implant System, we are proposing a new base MS-DRG.
    Consistent with our established process as discussed in section 
II.C.1.b. of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule, 
once the decision has been made to propose to make further 
modifications to the MS-DRGs, such as creating a new base MS-DRG, all 
five criteria to create subgroups must be met for the base MS-DRG to be 
split (or subdivided) by a CC subgroup. Therefore, we applied the 
criteria to create subgroups in a base MS-DRG. We note that, as shown 
in the table that follows, a three-way split of this proposed new base 
MS-DRG was met.
[GRAPHIC] [TIFF OMITTED] TP14AP26.023

    For the proposed new MS-DRGs for cases reporting an extensive 
fusion or a complex spinal fusion procedure with either the 
aprevo[supreg] custom-made anatomically designed interbody fusion 
device or the iFuse BedrockTM Granite Implant System, there 
is at least (1) 500 cases in the MCC group, 500 cases in the with CC 
group, and 500 cases in the without CC/MCC group; (2) 5 percent of the 
cases in the MCC group, 5 percent of the cases in the CC group, and 5 
percent of the cases in the without CC/MCC group; (3) a 20 percent 
difference in average costs between the MCC group, the CC group, and 
the without CC/MCC group; (4) a $2,000 difference in average costs 
between the MCC group, the CC group, and the without CC/MCC group; and 
(5) a 3-percent reduction in cost variance, indicating that the 
proposed severity level splits increase the explanatory power of the 
base MS-DRG in capturing differences in expected cost between the 
proposed MS-DRG severity level splits by at least 3 percent and thus 
improve the overall accuracy of the IPPS payment system.
    Therefore, for FY 2027, we are proposing to create new MS-DRGs 523, 
524, and 525 (Extensive or Complex Spinal Fusion Procedures Except 
Cervical with MCC, with CC, and without CC/MCC, respectively). 
Specifically, we are proposing to reassign cases reporting an extensive 
spinal fusion procedure from MS-DRGs 426, 427, 428, 456, 457 and 458 
and to reassign cases reporting a spinal fusion procedure with use of 
the aprevo[supreg] custom-made anatomically designed interbody fusion 
device or the iFuse BedrockTM Granite Implant System from 
MS-DRGs 402, 426, 427, 428, 447, 448, 450, 451, 456, 457 and 458 to 
proposed new MS-DRGs 523, 524, and 525. We are also proposing to revise 
the titles for MS-DRGs 426, 447, and 450 to remove the reference to 
``Custom-made Anatomically Designed Interbody Fusion Device'' and to 
revise the titles for MS-DRGs 456, 457, and 458 to remove the reference 
to ``Extensive Fusions''. We note that discussion of the surgical 
hierarchy for the proposed modification is discussed in section 
II.C.14. of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule.
b. Hip or Knee Procedures With Periprosthetic Joint Infection
    In the FY 2026 IPPS/LTCH PPS proposed rule (90 FR 18049 through 
18052) and final rule (90 FR 36606 through 36610), we discussed a 
request we received to reassign cases reporting a hip or knee procedure 
with a principal diagnosis of periprosthetic joint infection (PJI) from 
the lower severity level ``without CC/MCC'' MS-DRG to the higher 
severity level ``with CC'' MS-DRG when there is no major complication 
or comorbidity (MCC) or complication or comorbidity (CC) reported for 
the following MS-DRGs; MS-DRGs 463, 464, and 465 (Wound Debridement and 
Skin Graft Except Hand for Musculoskeletal and Connective Tissue 
Disorders with MCC, with CC, and without CC/MCC, respectively), MS-DRGs 
466, 467, and 468 (Revision of Hip or Knee Replacement with MCC, with 
CC, and without CC/MCC, respectively), MS-DRGs 474, 475, and 476 
(Amputation for Musculoskeletal System and Connective Tissue Disorders 
with MCC, with CC, and without CC/MCC, respectively), MS-DRGs 480, 481, 
and 482 (Hip and Femur Procedures Except Major Joint with MCC, with CC, 
and without CC/MCC, respectively) and MS-DRG 485, 486, and 487 (Knee 
Procedures with Principal Diagnosis of Infection with MCC, with CC, and 
without CC/MCC, respectively). We stated that, based on our review and 
analysis of the data, we disagreed with the request to reassign PJI 
cases from the lower severity ``without CC/MCC'' level MS-DRG to the 
higher severity ``with CC'' level MS-DRG suggested by the requestor as 
the

[[Page 19343]]

average costs of the PJI cases in the ``without CC/MCC'' level were not 
comparable and did not align with the average costs of all the cases at 
the ``with CC'' level. We stated we believed that MS-DRGs 466, 467, and 
468 appeared to group appropriately in their respective MS-DRG 
assignments and noted that the logic for case assignment to MS-DRGs 
485, 486, and 487 includes a principal diagnosis of infection and the 
difference in average costs for the cases reporting a PJI with a hip or 
knee procedure compared to the average costs of all the cases in their 
respective MS-DRG was minimal. We stated we believed the data support 
proposing a new base MS-DRG for the cases reporting a PJI with a hip or 
knee procedure in MS-DRGs 463, 464, 465, 474, 475, 476, 480, 481, and 
482 to better reflect the complexity of services, resource utilization, 
and severity of illness of these patients. We applied the criteria to 
create subgroups in a base MS-DRG as discussed in section II.C.1.b. of 
the preamble of the FY 2026 IPPS/LTCH PPS proposed rule (90 FR 18014 
through 18015) and final rule (90 FR 36553 through 36554) and noted 
that the criteria for a two-way split was met. Therefore, for FY 2026 
we proposed to create new MS-DRGs 403 and 404 (Hip or Knee Procedures 
with Principal Diagnosis of Periprosthetic Joint Infection with MCC and 
without MCC, respectively).
    As discussed in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36608 
through 36610), several commenters expressed support for the proposal 
to create proposed new MS-DRGs 403 and 404, however, a commenter stated 
they encountered inconsistencies when grouping cases using the Version 
43 test GROUPER that was made publicly available in association with 
the FY 2026 IPPS/LTCH PPS proposed rule on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software. The commenter also 
stated they found an overlap of approximately 52 procedure codes among 
the list of procedure codes analyzed by CMS made publicly available in 
Table 6P.6a in connection with the proposed rule analysis and also 
listed in the logic for MS-DRGs 466, 467, and 468 included in the Draft 
Version 43 ICD-10 MS-DRG Definitions Manual. The commenter stated it 
was unable to reconcile some of the shifts in case volume from the MS-
DRGs that were analyzed and those that shifted into the proposed new 
MS-DRGs because it was not clear if the cases shifted because of the 
procedure code overlap or because of programming within the Version 43 
test GROUPER.
    We acknowledged the commenter's findings and noted that under the 
GROUPER software program, some collections of ICD-10-PCS procedure 
codes have a different set of attributes, independent of those of the 
codes that make them up (that is, their ``components''). We stated that 
these collections of ICD-10-PCS procedure codes are called clusters and 
that a routine program in the GROUPER, upstream of the MS-DRG 
assignment logic, searches the claim for clusters. We noted that when a 
cluster is found, it is added to the list of procedures found on the 
claim. We stated that clusters may be ``restricted'' by Major 
Diagnostic Category (MDC) and a restricted cluster inhibits the use of 
its procedure code component attributes for the MDC's MS-DRG assignment 
logic. We provided the example that procedure code cluster 0SPC0JZ 
(Removal of synthetic substitute from right knee joint, open approach) 
and 0SRT0JZ (Replacement of right knee joint, femoral surface with 
synthetic substitute, open approach) may be recognized on a claim if 
both codes appear (in any order) and the reporting of these codes 
creates a new procedure code cluster ``@0045''. We stated that the 
cluster @0045 has a different set of attributes than either code 
0SPC0JZ or 0SRT0JZ by itself and is further ``restricted'' for MDC 08. 
We noted that when the GROUPER logic determines that the MDC is 08, it 
ignores the attributes of procedure codes 0SPC0JZ and 0SRT0JZ 
individually, only using those of @0045. We indicated in that example 
how the logic results in assignment of the claim to MS-DRGs 466, 467, 
and 468 rather than MS-DRGs 463, 464, and 465. We stated that if the 
principal diagnosis reported is not assigned under MDC 08, the cluster 
would not restrict the interpretation of the component codes and their 
individual attributes could be relevant as well as those of @0045.
    As also discussed in the FY 2026 IPPS/LTCH PPS final rule (90 FR 
36610), following publication of the FY 2026 IPPS/LTCH PPS proposed 
rule, we identified that the intended grouping of cases to the proposed 
new MS-DRGs 403 and 404 was impacted because of these cluster 
restrictions under MDC 08; therefore, we removed the restrictions and 
performed additional analysis. As a result of removing the 
restrictions, and due to the existing overlapping procedure code logic 
among a subset of the MDC 08 MS-DRGs, our analysis showed that further 
redistribution of the cases under MDC 08 occurred, impacting the 
remaining number of cases in MS-DRGs 466, 467, and 468 and MS-DRGs 485, 
486, and 487, such that, those MS-DRGs no longer satisfied the criteria 
for a 3-way split. We noted that under our established process for 
applying the criteria to create subgroups within a base MS-DRG, 
existing MS-DRGs 466, 467, and 468 would be deleted and a new base MS-
DRG for Revision of Hip or Knee Replacement would be established. 
Additionally, we noted that under this established process, existing 
MS-DRGs 485, 486, and 487 would be deleted and new MS-DRGs (2-way 
split) for Knee Procedures with Principal Diagnosis of Infection with 
and without MCC, respectively, would be established. Because these 
findings associated with removal of the MDC 08 restrictions on the 
procedure code clusters for existing MS-DRGs 466, 467, and 468 and MS-
DRGs 485, 486, and 487 were not identified until after publication of 
the proposed rule, in addition to having an updated test Grouper that 
reflected these potential changes, we did not finalize the creation of 
proposed new MS-DRGs 403 and 404 for FY 2026. We stated that we may 
further consider these potential MS-DRG changes for future rulemaking. 
We refer the reader to the FY 2026 IPPS/LTCH PPS proposed and final 
rulemaking discussions for additional detailed information.
    As also discussed in the FY 2026 IPPS/LTCH PPS proposed rule (90 FR 
18012 through 18013) and final rule (90 FR 36550 through 36552), we 
received a request to modify the GROUPER logic of MS-DRGs 463, 464, and 
465; MS-DRGs 466, 467, and 468; and MS-DRGs 492, 493, and 494 (Lower 
Extremity and Humerus Procedures Except Hip, Foot and Femur with MCC, 
with CC, and without CC/MCC, respectively) by reassigning cases with 
ICD-10-PCS code XW0V0P7 (Introduction of antibiotic-eluting bone void 
filler into bones, open approach, new technology group 7) that 
currently map to the lower severity level MS-DRG to the highest 
severity level (with MCC) MS-DRG. We noted that the procedure to insert 
a bone void filler is designated as a non-operating room (Non-O.R.) 
procedure and stated our belief that the key factor that would 
contribute to resource utilization in these cases is the fact that the 
patients have an infection(s) which require additional resources. We 
further noted that, as discussed in section II.C.5.a. of the preamble 
of the FY 2026 IPPS/LTCH PPS proposed rule (90 FR 18049 through 18052), 
we received an MS-DRG request related to cases reporting a hip or knee 
procedure with

[[Page 19344]]

a diagnosis of PJI in MS-DRGs 463, 464, and 465 (the same set of MS-
DRGs that were submitted to analyze ICD-10-PCS code XW0V0P7). We stated 
that in our review of the claims data to address that specific request 
we noted that a subset of the cases also reported procedure code 
XW0V0P7 and for these reasons and those previously described, we 
believed additional time was needed to review and evaluate potential 
extensive modifications to the structure of these MS-DRGs.
    As we discuss further in this section, based on our analysis of the 
September 2025 update of the FY 2025 MedPAR file for this FY 2027 IPPS/
LTCH PPS proposed rule, we continue to believe it is appropriate to 
propose new MS-DRGs 403 and 404 to better differentiate and reflect the 
complexity of services, resource utilization, and severity of illness 
for patients diagnosed with a PJI. For purposes of our analysis for 
this FY 2027 IPPS/LTCH PPS proposed rule, in connection with the FY 
2026 IPPS/LTCH PPS final rule discussion related to the findings about 
the restriction logic and overlap of procedure codes, for proposed new 
MS-DRGs 403 and 404 for FY 2027, we removed the restriction logic under 
MDC 08 for the procedure code clusters within MS-DRGs 466, 467, and 
468, and within MS-DRGs 485, 486, and 487. These changes are reflected 
in the test version of the ICD-10 MS-DRG GROUPER Software, Version 44, 
and the draft version of the ICD-10 MS-DRG Definitions Manual, Version 
44, available in association with this FY 2027 IPPS/LTCH PPS proposed 
rule (available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) so that the public can better analyze and 
understand the impact of the proposals as summarized in the discussion 
that follows.
    Additionally, for this FY 2027 IPPS/LTCH PPS proposed rule, in 
connection with the FY 2026 IPPS/LTCH PPS final rule discussion related 
to the request for reassignment of cases with ICD-10-PCS code XW0V0P7 
that currently map to the lower severity level MS-DRG to the highest 
severity level (with MCC) MS-DRG, the requestor submitted a revised 
request. Specifically, in addition to the previously listed MS-DRGs 
identified for CMS' consideration for FY 2026, the requestor added MDC 
08 MS-DRGs 474, 475, and 476 and MS-DRGs 480, 481, and 482, that are 
also the subject of the request to reassign cases reporting a hip or 
knee procedure with a principal diagnosis of PJI from the lower 
severity level ``without CC/MCC'' MS-DRG to the higher severity level 
``with CC'' MS-DRG, and further added MDC 08 MS-DRGs 477, 478, and 479 
(Biopsies of Musculoskeletal System and Connective Tissue with MCC, 
with CC, and without CC/MCC, respectively). We also note that 
separately, this same requestor submitted a request for the 
reassignment of cases reporting ICD-10-PCS code XW0V0P7 that currently 
map to the lower severity level MS-DRG to the highest severity level 
(with MCC) MS-DRG within MDC 10 for MS-DRGs 616, 617, and 618 
(Amputation of Lower Limb for Endocrine, Nutritional and Metabolic 
Disorders with MCC, with CC, without CC/MCC, respectively) and MS-DRGs 
628, 629, and 630 (Other Endocrine, Nutritional and Metabolic O.R. 
Procedures with MCC, with CC, without CC/MCC, respectively) that is 
discussed separately in section II.C.5 of the preamble of this FY 2027 
IPPS/LTCH PPS proposed rule.
    Effective October 1, 2021, ICD-10-PCS code XW0V0P7 was created in 
association with a new technology add-on payment application for 
CERAMENT[supreg] G, a combination device-drug product intended to treat 
bone infections (for example, osteomyelitis). It is an implantable bone 
void filler that consists of hydroxyapatite and calcium sulfate, as 
well as gentamicin sulfate, which is an antibacterial agent. We refer 
the reader to the September 8, 2020 ICD-10 Coordination and Maintenance 
Committee meeting materials available on the CMS website at: https://www.cms.gov/medicare/coding-billing/icd-10-codes/icd-10-coordination-maintenance-committee-materials for information regarding the procedure 
code request, including a transcript of the discussion and the related 
meeting materials. We also note that CERAMENT[supreg] G was approved 
for a new technology add-on payment beginning October 1, 2022 for the 
indication of infection which expired on September 30, 2025. For FY 
2026, CERAMENT[supreg] G was approved for a new technology add-on 
payment for the indication of an open fracture. We refer the reader to 
section II.E.4. of the preamble of the FY 2026 IPPS/LTCH PPS proposed 
and final rules for additional discussion regarding CERAMENT[supreg] G 
in association with the new technology add-on payment indication.
    For the Spring 2026 ICD-10-PCS code update, the manufacturer of 
CERAMENT[supreg] G submitted a request for a new code to describe 
another antibiotic-eluting bone void filler product, CERAMENT[supreg] 
V, in association with a new technology add-on payment application for 
FY 2027. We refer the reader to section II.E.6. of the preamble of this 
FY 2027 IPPS/LTCH PPS proposed rule for additional discussion regarding 
CERAMENT[supreg] V in association with the new technology add-on 
payment policy. The manufacturer also requested a revision to the 
existing code, ICD-10-PCS code XW0V0P7, that is reported to identify 
the administration of CERAMENT[supreg] G. CERAMENT[supreg] V is an 
injectable synthetic bone void filler that consists of hydroxyapatite, 
calcium sulfate, and the antibiotic vancomycin hydrochloride. The 
manufacturer requested that the description of existing ICD-10-PCS code 
XW0V0P7 be revised to specifically identify gentamicin and that a new 
code be created to specifically identify vancomycin in association with 
the new technology add-on payment application. The agenda and related 
materials for these specific topics are available on the CMS website 
at: https://www.cms.gov/medicare/coding-billing/icd-10-codes/icd-10-coordination-maintenance-committee-materials. We note that the deadline 
for receipt of public comments for the proposals included in the Spring 
2026 procedure code update is April 17, 2026; therefore, the final code 
decisions on these proposals are not yet available for inclusion in 
Table 6B.--New Procedure Codes associated with this FY 2027 IPPS/LTCH 
PPS proposed rule. Under our established process, if the new and 
revised procedure code proposals are finalized after review and 
consideration of public comments following the Spring update, the codes 
are specifically identified with a footnote in Table 6B.--New Procedure 
Codes and Table 6F.--Revised Procedure Code Titles along with the MDC, 
MS-DRG assignment(s), and operating room (O.R.) or non-operating room 
(non-O.R.) designation that is made publicly available in association 
with the final rule on the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps. This 
established process includes initially reviewing the predecessor codes 
MS-DRG assignment and designation, while considering other relevant 
factors (for example, severity of illness, treatment difficulty, 
complexity of service and the resources utilized in the diagnosis and/
or treatment of the condition). The public may provide feedback on 
these finalized assignments, which is then taken into consideration for 
the following fiscal year.
    Accordingly, to continue our analysis of cases reporting a hip or 
knee procedure with a principal diagnosis of

[[Page 19345]]

PJI as discussed in the FY 2026 IPPS/LTCH PPS final rule with removal 
of the restriction logic and to address the request to modify the 
GROUPER logic by reassigning cases with ICD-10-PCS code XW0V0P7 that 
currently map to the lower severity level MS-DRG to the highest 
severity level (with MCC) MS-DRG, we reviewed claims data from the 
September 2025 update of the FY 2025 MedPAR file for MS-DRGs 463, 464, 
465, 466, 467, 468, 474, 475, 476, 477, 478, 479, 480, 481, 482, 485, 
486, 487, 492, 493, and 494 and for: 1) cases reporting a principal 
diagnosis of PJI with a hip or knee procedure based on the proposed 
logic as reflected in Table 6P.3b, 2) cases reporting the insertion of 
antibiotic-eluting bone void filler (code XW0V0P7) without a principal 
diagnosis of PJI among all the cases in the respective MS-DRG (that is, 
not limited to the proposed logic reflected in Table 6P.3b), and 3) 
cases reporting both a principal diagnosis of PJI with a hip or knee 
procedure and ICD-10-PCS code XW0V0P7 based on the proposed logic as 
reflected in Table 6P.3b. We refer the reader to Table 6P. 3b that is 
publicly available in association with this FY 2027 IPPS/LTCH PPS 
proposed rule on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps for the list of 
diagnosis codes we analyzed to identify a PJI, for the procedure code 
we analyzed to identify the insertion of antibiotic-eluting bone void 
filler, and for the list of procedure codes we analyzed from the 
previously listed MS-DRGs (excluding MS-DRGs 477, 478, and 479 that 
were not the subject of the request) to identify a hip or knee 
procedure. Findings from our analysis with removal of the restriction 
logic are shown in the following table.
BILLING CODE 4120-01-P

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[GRAPHIC] [TIFF OMITTED] TP14AP26.024


[[Page 19347]]


[GRAPHIC] [TIFF OMITTED] TP14AP26.025


[[Page 19348]]


[GRAPHIC] [TIFF OMITTED] TP14AP26.026

BILLING CODE 4120-01-C
    The findings show that with removal of the restriction logic from 
MS-DRGs 466, 467, and 468 there are zero cases reporting a principal 
diagnosis of PJI with a hip or knee procedure in MS-DRGs 466, 467, and 
468. With removal of the restriction logic, the cases that previously 
grouped to MS-DRGs 466, 467, and 468 are redistributed to MS-DRGs 463, 
464, and 465 based on the proposed Version 44 GROUPER logic and the 
surgical hierarchy. Under the current ICD-10 MS-DRGs Version 43.1, 
procedure code 0SP90JZ (Removal of synthetic substitute from right hip 
joint, open approach) is listed in the logic for case assignment to MS-
DRGs 463, 464, and 465 and is also listed as part of a code cluster 
with procedure code 0SR9019 (Replacement of right hip joint with metal 
synthetic substitute, cemented, open approach) in the logic for case 
assignment to MS-DRGs 466, 467, and 468. With removal of the cluster 
restriction logic in MS-DRGs 466, 467, and 468, cases reporting 
procedure code 0SP90JZ with a principal diagnosis assigned to MDC 08 
will group to MS-DRGs 463, 464, and 465 under the proposed ICD-10 MS-
DRGs, Version 44. The findings also show that with removal of the 
restriction logic from MS-DRGs 485, 486, and 487 further redistribution 
of the cases occurs. Specifically, cases that previously grouped to MS-
DRGs 485, 486, and 487 now group or ``shift'' to other MS-DRGs. As a 
result, the remaining number of cases in MS-DRGs 466, 467, and 468 and 
MS-DRGs 485, 486, and 487 is reduced and those MS-DRGs no longer 
satisfy the criteria for a 3-way split under application of our 
established criteria for subgroups consistent with the discussion in 
the FY 2026 IPPS/LTCH PPS final rule (90 FR 36610).
    The findings show that for the cases reporting a principal 
diagnosis of PJI with a hip or knee procedure in MS-DRGs 463, 464, 465, 
474, 475, 476, 480, 481, 482, 485, 486, 487, 492, and 493, the average 
length of stay is generally comparable or longer compared to the 
average length of stay of all the cases in their respective MS-DRG. 
Findings from our analysis also show that the average costs of the 
cases reporting a principal diagnosis of PJI with a hip or knee 
procedure in MS-DRGs 464, 465, 474, 475, 476, 480, 481, 482, 485, 486, 
487, 492, and 493 are higher compared to the average costs of all the 
cases in their respective MS-DRG. We note that the average length of 
stay and the average costs of the 5 cases reporting a PJI with a hip or 
knee procedure in MS-DRG 494 are shorter than (2.6 days versus 3.3 
days) the average length of stay and lower than ($15,251 versus 
$18,846) the average costs of all the cases in MS-DRG 494. We also note 
that the average costs of the 3,262 cases reporting a principal 
diagnosis of PJI with a hip or knee procedure in MS-DRG 463 are 
approximately $49 less than the average costs of all the cases in MS-
DRG 463 ($44,259 versus $44,308). For the cases reporting procedure 
code XW0V0P7 without a principal diagnosis of PJI in

[[Page 19349]]

MS-DRGs 463, 464, 465, 466, 467, 474, 475, 477, 478, 480, 481, 482, 
486, 492, and 493, we found that the average length of stay is 
generally comparable or longer compared to the average length of stay 
of all the cases in their respective MS-DRG. We note that there were 
zero cases found reporting procedure code XW0V0P7 without a principal 
diagnosis of PJI in MS-DRGs 468 and 476. Findings from our analysis 
also show that the average costs of the cases reporting procedure code 
XW0V0P7 without a principal diagnosis of PJI in MS-DRGs 463, 464, 465, 
466, 467, 474, 475, 477, 478, 480, 481, 482, 486, 492, 493, and 494 are 
higher compared to the average costs of all the cases in their 
respective MS-DRG. We also note that the 7 cases in MS-DRG 479 have a 
shorter average length of stay (2.9 days versus 4.1 days) and lower 
average costs ($11,760 versus $17,157) compared to the average length 
of stay and average costs of all the cases in MS-DRG 479. As shown in 
the table, the cases reporting procedure code XW0V0P7 without a 
principal diagnosis of PJI in the lower severity level MS-DRGs (that 
is, MS-DRGs 464, 465, 475, 478, 481, 482, 493, and 494) have average 
costs that overall, are more aligned with the average costs of all the 
cases at the respective higher severity level (with MCC) MS-DRG (that 
is MS-DRGs 463, 474, 477, 480, and 492). For example, the 62 cases in 
MS-DRG 464 and the 13 cases in MS-DRG 465 reporting procedure code 
XW0V0P7 without a principal diagnosis of PJI have average costs of 
$42,191 and $37,878 respectively, compared to the average costs of 
$44,308 for all the cases in MS-DRG 463.
    Lastly, for the cases reporting both a principal diagnosis of PJI 
with a hip or knee procedure and ICD-10-PCS code XW0V0P7 in MS-DRGs 
463, 464, 465, 474, 475, 485, and 486, we found that the average length 
of stay is longer and the average costs are comparable or higher 
compared to the average length of stay and average costs of the cases 
reporting a principal diagnosis of PJI with a hip or knee procedure 
without ICD-10-PCS code XW0V0P7, as well as compared to all the cases 
in their respective MS-DRG.
    Based on our review and analysis of the data, we believe the data 
support proposing a new base MS-DRG for the cases reporting a PJI with 
a hip or knee procedure to better differentiate and reflect the 
complexity of services, resource utilization, and severity of illness 
of these patients. In connection with our review and analysis of the 
data, we note that under the current ICD-10 MS-DRGs Version 43.1, 
diagnosis codes T84.53XA (Infection and inflammatory reaction due to 
internal right knee prosthesis, initial encounter) and T84.54XA 
(Infection and inflammatory reaction due to internal left knee 
prosthesis, initial encounter) are listed in the logic for case 
assignment to MS-DRGs 485, 486, and 487, and are also listed in Table 
6P.3b in association with this FY 2027 IPPS/LTCH PPS proposed rule as 
they describe a PJI of the knee and were included in our analysis 
previously discussed. Therefore, we believe it is appropriate to 
propose to remove these codes from the logic for case assignment to MS-
DRGs 485, 486, and 487 in association with the removal of the 
restriction logic so that cases reporting a PJI with a knee procedure 
from those MS-DRGs appropriately group to the proposed new base MS-DRG.
    We also note that, as previously described, procedure code XW0V0P7 
is currently designated as a non-O.R. procedure. Because our analysis 
of the data supports the reassignment of cases reporting procedure code 
XW0V0P7 without a principal diagnosis of PJI from the lower severity 
level (without CC/MCC or with CC) to the higher (with MCC) severity 
level, we are proposing to redesignate procedure code XW0V0P7 from a 
non-O.R. procedure to a non-O.R. procedure affecting the MS-DRG 
assignment at the higher with MCC severity level for MS-DRGs 463, 474, 
477, 480, and 492. We further note that because the data show that the 
cases reporting both a principal diagnosis of PJI with a hip or knee 
procedure and ICD-10-PCS code XW0V0P7 in MS-DRGs 463, 464, 465, 474, 
475, 485, and 486 have a longer average length of stay and higher 
average costs compared to the average length of stay and average costs 
of the cases reporting a principal diagnosis of PJI with a hip or knee 
procedure alone (without ICD-10-PCS code XW0V0P7), with the proposed 
redesignation of code XW0V0P7 from non-O.R. to non-O.R. affecting the 
MS-DRG, these cases reporting ICD-10-PCS code XW0V0P7 would also be 
reassigned at the highest severity level in connection with a new base 
MS-DRG proposal and consistent with the proposal for assignment to MS-
DRGs 463, 474, 477, 480, and 492 previously discussed. As such, the 
data support proposing a new base MS-DRG for cases reporting a 
principal diagnosis of PJI with a hip or knee procedure with or without 
procedure code XW0V0P7.
    Consistent with our established process as discussed in section 
II.C.1.b. of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule, 
once the decision has been made to propose to make further 
modifications to the MS-DRGs, such as creating a new base MS-DRG, all 
five criteria to create subgroups must be met for the base MS-DRG to be 
split (or subdivided) by a CC subgroup. Therefore, we applied the 
criteria to create subgroups in a base MS-DRG. We note that, as shown 
in the table that follows, a three-way split of this proposed new base 
MS-DRG failed to meet the criterion that there is at least a 20% 
difference in average costs in the without CC/MCC group. The following 
table illustrates our findings.
BILLING CODE 4120-01-P
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    As discussed in section II.C.1.b. of the preamble of this FY 2027 
IPPS/LTCH PPS proposed rule, if the criteria for a three-way split 
fail, the next step is to determine if the criteria are satisfied for a 
two-way split. We therefore applied the criteria for a two-way split 
for the ``with MCC and without MCC'' subgroups and found that all five 
criteria were met. The following table illustrates our findings and 
reflects a simulation of the proposed new MS-DRG 403 (Hip or Knee 
Procedures with Principal Diagnosis of Periprosthetic Joint Infection 
with MCC or Insertion of Antibiotic-eluting Bone Void Filler) and MS-
DRG 404 (Hip or Knee Procedures with Principal Diagnosis of 
Periprosthetic Joint Infection without MCC).

[[Page 19350]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.028

    For the proposed new MS-DRGs to identify cases reporting a PJI with 
a hip or knee procedure with or without procedure code XW0V0P7, there 
is at least (1) 500 cases in the MCC group and 500 cases in the without 
MCC group; (2) 5 percent of the cases in the MCC group and 5 percent in 
the without MCC group; (3) a 20 percent difference in average costs 
between the MCC group and the without MCC group; (4) a $2,000 
difference in average costs between the MCC group and the without MCC 
group; and (5) a 3-percent reduction in cost variance, indicating that 
the proposed severity level splits increase the explanatory power of 
the base MS-DRG in capturing differences in expected cost between the 
proposed MS-DRG severity level splits by at least 3-percent and thus 
improve the overall accuracy of the IPPS payment system.
    As also previously discussed, in connection with the proposed 
removal of the restriction logic and findings from our analysis, 
existing MS-DRGs 466, 467, and 468 and MS-DRGs 485, 486, and 487 would 
no longer meet the criteria for a 3-way split under our established 
process for applying the criteria to create subgroups within a base MS-
DRG. We note that, as shown in the table that follows, a three-way 
split for MS-DRGs 466, 467, and 468 failed to meet the criterion that 
there be at least 500 cases in the MCC group and that there is at least 
a 20% difference in average cost between the CC and NonCC group. The 
following table illustrates our findings.
[GRAPHIC] [TIFF OMITTED] TP14AP26.029

    As discussed in section II.C.1.b. of the preamble of this FY 2027 
IPPS/LTCH PPS proposed rule, if the criteria for a three-way split 
fail, the next step is to determine if the criteria are satisfied for a 
two-way split. We therefore applied the criteria for a two-way split 
for the ``with MCC and without MCC'' subgroups and found that a two-way 
split for these MS-DRGs failed to meet the criterion that there be at 
least 500 cases in the MCC group. The following table illustrates our 
findings.
[GRAPHIC] [TIFF OMITTED] TP14AP26.030

    We then applied the criteria for a two-way split for the ``with CC/
MCC'' and ``without CC/MCC'' subgroups. As shown in the table that 
follows, a two-way split of this base MS-DRG failed to meet the 
criterion that there be at least a 20% difference in average cost 
between the with CC/MCC and the without CC/MCC group.
[GRAPHIC] [TIFF OMITTED] TP14AP26.031

    We are therefore proposing to delete MS-DRGs 466, 467, and 468 and 
proposing to create new base MS-DRG 449 (Revision of Hip or Knee 
Replacement). We also note that following our analysis previously 
described that reflects removal of the restriction logic for MS-DRGs 
466, 467, and 468, we identified 20 procedure codes that are listed 
individually in the logic for case assignment to MS-DRGs 466, 467, and 
468 that are also listed separately in the logic with another procedure 
code as a code cluster. For example, procedure code 0SPE0JZ (Removal of 
synthetic substitute from left hip joint, acetabular surface, open 
approach) is listed individually and is also listed separately with 
procedure code 0SRB019 (Replacement of left hip joint with metal 
synthetic substitute, cemented, open approach) as a code cluster. We 
refer the reader to the ICD-10 MS-DRG Definitions Manual Version 43.1, 
which is available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software for complete documentation of the GROUPER 
logic for MS-DRGs 466, 467, and 468. To appropriately reflect the logic 
list for proposed new base MS-DRG 449 under the proposed ICD-10 MS-
DRGs, Version 44, and to ensure cases group appropriately in connection 
with the proposed changes to the ICD-10 MS-DRGs for FY 2027, we are 
proposing to remove the following 20 procedure codes from the logic 
list as individually listed codes.

[[Page 19351]]

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    The following table illustrates our simulation of proposed new MS-
DRG 449.
[GRAPHIC] [TIFF OMITTED] TP14AP26.033

    We then applied the criteria to MS-DRGs 485, 486, and 487 in 
connection with the proposed removal of the restriction logic. We note 
that, as shown in the table that follows, a three-way split for MS-DRGs 
485, 486, and 487 failed to meet the criterion that there be at least 
500 cases in the MCC group. The following table illustrates our 
findings.
[GRAPHIC] [TIFF OMITTED] TP14AP26.034

    As discussed in section II.C.1.b. of the preamble of this FY 2027 
IPPS/LTCH PPS proposed rule, if the criteria for a three-way split 
fail, the next step is to determine if the criteria are satisfied for a 
two-way split. We therefore applied the criteria for a two-way split 
for the ``with MCC and without MCC'' groups. We note that, as shown in 
the table that follows, a two-way split for these MS-DRGs failed to 
meet the criterion that there be at least 500 cases in the MCC group. 
The following table illustrates our findings.

[[Page 19352]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.035

    We are therefore proposing to delete MS-DRGs 485, 486, and 487 and 
proposing to create new base MS-DRG 400 (Knee Procedures with Principal 
Diagnosis of Infection). The following table illustrates our simulation 
of the proposal.
[GRAPHIC] [TIFF OMITTED] TP14AP26.036

    In summary, for FY 2027, we are proposing to (1) remove the 
restriction logic for MS-DRGs 466, 467, and 468 and MS-DRGs 485, 486, 
and 487, (2) remove ICD-10-CM diagnosis codes T84.53XA and T84.54XA 
from the logic for case assignment to MS-DRGs 485, 486, and 487, (3) 
delete MS-DRGs 466, 467, and 468 and MS-DRGs 485, 486, and 487, (4) 
create new base MS-DRG 449 and new base MS-DRG 400 with the logic lists 
as reflected in Tables 6P.3c and 6P.3d, respectively, that is available 
in association with this FY 2027 IPPS/LTCH PPS proposed rule, (5) 
redesignate procedure code XW0V0P7 from non-O.R. to non-O.R. affecting 
specified MS-DRGs as discussed in this section of this FY 2027 IPPS/
LTCH PPS proposed rule, (6) create new MS-DRG 403 (Hip or Knee 
Procedures with Principal Diagnosis of Periprosthetic Joint Infection 
with MCC or Insertion of Antibiotic-eluting Bone Void Filler) to 
reflect cases reporting a hip or knee procedure with a principal 
diagnosis of PJI and the reassignment of cases reporting ICD-10-PCS 
code XW0V0P7 from the lower severity level to the higher (with MCC) 
severity level and create new MS-DRG 404 (Hip or Knee Procedures with 
Principal Diagnosis of Periprosthetic Joint Infection without MCC) with 
the logic lists as reflected in Table 6P.3b, and (7) reassign cases 
reporting ICD-10-PCS code XW0V0P7 from the lower severity level 
(without CC/MCC or with CC) to the higher (with MCC) severity level and 
revise the titles to the following MS-DRGs to reflect the proposed 
reassignment.
[GRAPHIC] [TIFF OMITTED] TP14AP26.037

BILLING CODE 4120-01-C
    We note that discussion of the surgical hierarchy for the proposed 
modification is discussed in section II.C.14. of the preamble of this 
FY 2027 IPPS/LTCH PPS proposed rule.
    We also note that the titles for MS-DRGs 463, 464, and 465 reflect 
``Wound Debridement and Skin Graft Except Hand for Musculoskeletal and 
Connective Tissue Disorders with MCC, with CC, and without CC/MCC'', 
respectively. We believe the term ``and'' in these MS-DRG titles may be 
misleading as it implies that both a wound debridement and skin graft 
need to be reported to satisfy the logic for case assignment to these 
MS-DRGs. However, the logic for case assignment to MS-DRGs 463, 464, 
and 465 is satisfied when either a procedure code describing a wound 
debridement or a procedure code describing a skin graft (except hand) 
from the logic list is reported. Therefore, we are proposing to revise 
the term ``and'' to ``or'' for the titles for MS-DRGs 463, 464, and 
465. These proposed title changes are reflected in the test version of 
the ICD-10 MS-DRG GROUPER Software, Version 44, and the draft version 
of the ICD-10 MS-DRG Definitions Manual, Version 44, available in 
association with this FY 2027 IPPS/LTCH PPS proposed rule (available on 
the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software).
5. MDC 10 (Endocrine, Nutritional and Metabolic Diseases and 
Disorders): CERAMENT[supreg] G Antibiotic-Eluting Bone Void Filler
    As discussed in the preamble of section II.C.4. of this FY 2027 
IPPS/LTCH PPS proposed rule, we received a request to reassign cases 
reporting ICD-10-PCS code XW0V0P7 (Introduction of antibiotic-eluting 
bone void filler into bones, open approach, new technology group 7) 
from the lower severity level MS-DRG to the highest severity level 
(with MCC) MS-DRG within MDC 10 for MS-DRGs 616, 617, and 618 
(Amputation of Lower Limb for Endocrine, Nutritional and Metabolic 
Disorders with MCC, with CC, without CC/MCC, respectively) and MS-DRGs 
628, 629, and 630 (Other Endocrine,

[[Page 19353]]

Nutritional and Metabolic O.R. Procedures with MCC, with CC, without 
CC/MCC, respectively).
    As also discussed in the preamble of section II.C.4 of this FY 2027 
IPPS/LTCH PPS proposed rule, ICD-10-PCS code XW0V0P7 was created 
effective October 1, 2021, in association with a new technology add-on 
payment application for CERAMENT[supreg] G, a combination device-drug 
product intended to treat bone infections (for example, osteomyelitis). 
It is an implantable bone void filler that consists of hydroxyapatite 
and calcium sulfate, as well as gentamicin sulfate, which is an 
antibacterial agent. We refer the reader to the September 8, 2020 ICD-
10 Coordination and Maintenance Committee meeting materials available 
on the CMS website at: https://www.cms.gov/medicare/coding-billing/icd-10-codes/icd-10-coordination-maintenance-committee-materials for 
information regarding the procedure code request, including a 
transcript of the discussion and the related meeting materials. We also 
note that CERAMENT[supreg] G was approved for a new technology add-on 
payment beginning October 1, 2022 for the indication of infection which 
expired on September 30, 2025. For FY 2026, CERAMENT[supreg] G was 
approved for a new technology add-on payment for the indication of an 
open fracture. We refer the reader to section II.E.4. of the preamble 
of the FY 2026 IPPS/LTCH PPS proposed and final rules for additional 
discussion regarding CERAMENT[supreg] G in association with the new 
technology add-on payment indication.
    In the preamble of section II.C.4 of this FY 2027 IPPS/LTCH PPS 
proposed rule we also noted that for the Spring 2026 ICD-10-PCS code 
update, the manufacturer of CERAMENT[supreg] G submitted a request for 
a new code to describe another antibiotic-eluting bone void filler 
product, CERAMENT[supreg] V, in association with a new technology add-
on payment application for FY 2027. We refer the reader to section 
II.E.6. of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule for 
additional discussion regarding CERAMENT[supreg] V in association with 
the new technology add-on payment policy. The manufacturer also 
requested a revision to the existing code, ICD-10-PCS code XW0V0P7, 
that is reported to identify the administration of CERAMENT[supreg] G. 
CERAMENT[supreg] V is an injectable synthetic bone void filler that 
consists of hydroxyapatite, calcium sulfate, and the antibiotic 
vancomycin hydrochloride. The manufacturer requested that the 
description of existing ICD-10-PCS code XW0V0P7 be revised to 
specifically identify gentamicin and that a new code be created to 
specifically identify vancomycin in association with the new technology 
add-on payment application. The agenda and related meeting materials 
for these specific topics are available on the CMS website at: https://www.cms.gov/medicare/coding-billing/icd-10-codes/icd-10-coordination-maintenance-committee-materials. We note that the deadline for receipt 
of public comments for the proposals included in the Spring 2026 
procedure code update is April 17, 2026; therefore, the final code 
decisions on these proposals are not yet available for inclusion in 
Table 6B.--New Procedure Codes associated with this FY 2027 IPPS/LTCH 
PPS proposed rule. Under our established process, if the new and 
revised procedure code proposals are finalized after review and 
consideration of public comments following the Spring update, the codes 
are specifically identified with a footnote in Table 6B.--New Procedure 
Codes and Table 6F.--Revised Procedure Code Titles along with the MDC, 
MS-DRG assignment(s), and operating room (O.R.) or non-operating room 
(non-O.R.) designation that is made publicly available in association 
with the final rule on the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps. This 
established process includes initially reviewing the predecessor codes 
MS-DRG assignment and designation, while considering other relevant 
factors (for example, severity of illness, treatment difficulty, 
complexity of service and the resources utilized in the diagnosis and/
or treatment of the condition). The public may provide feedback on 
these finalized assignments, which is then taken into consideration for 
the following fiscal year.
    The requestor (the manufacturer) stated that the occurrence and 
economic burden of osteomyelitis is significant and diabetes has been 
driving the increase in osteomyelitis incidence over time, with the 
incidence of diabetes-related osteomyelitis rising from 2.3 to 10.5 
cases per 100,000 person-years from the 1970s to the 1990s as reported 
by the Mayo Clinic. The requestor reported that the incidence of foot 
osteomyelitis among patients with diabetes mellitus is estimated to be 
approximately 0.3% per year, with a lifetime risk of 4%, and 68% of 
patients with diabetes-related foot osteomyelitis needing an 
amputation. Studies indicate many individuals are readmitted to the 
hospital within 1 year of the amputation due to complications of the 
affected limb.
    In addition to diabetic foot ulcers, the requestor stated that the 
incidence of fracture-associated osteomyelitis varies from 1.8% to 27% 
depending on the bone involved and the grade/type of fracture. 
According to the requestor, clinical trials demonstrate that the 
overall incidence of osteomyelitis may continue to rise due to multiple 
factors including improved diagnosis, increasing patient risk factors 
such as-diabetes, and increased needs for arthroplasties. Per the 
requestor, re-hospitalization and treatment for osteomyelitis has 
significant costs to both the individual and healthcare systems, 
impacting quality of life and the ability to work.
    The requestor stated that the antimicrobial properties of 
CERAMENT[supreg] G combat antimicrobial resistance, thereby effectively 
reducing the recurrence of infection. The requestor also stated that 
these antimicrobial properties have been shown to achieve good 
infection prevention with a shortened course of systemic antibiotics 
that does not extend beyond seven days.
    The requestor performed its own analysis using Medicare claims data 
across a subset of MS-DRGs for cases reporting the use of 
CERAMENT[supreg] G with ICD-10-PCS code XW0V0P7 and acknowledged that 
the volume of cases is small, however, it also stated that its findings 
reflected that claims reporting the use of CERAMENT[supreg] G have 
higher resource utilization compared to claims that did not report the 
use of CERAMENT[supreg] G. Of the MS-DRGs analyzed, the requestor 
stated the cases reporting ICD-10-PCS code XW0V0P7 in the lower 
severity level MS-DRG had standardized costs that were more aligned 
with the costs of the higher severity level MS-DRG sequenced above it. 
The requestor stated its belief that the data demonstrate cases 
reporting ICD-10-PCS code XW0V0P7 should be reassigned to the higher 
MCC level MS-DRG within the MS-DRG groupings requested.
    We reviewed claims data from the September 2025 update of the FY 
2025 MedPAR file for MS-DRGs 616, 617, 618, 628, 629, and 630 and for 
cases reporting ICD-10-PCS code XW0V0P7. Findings from our analysis are 
shown in the following table.

[[Page 19354]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.038

    The findings show that the cases reporting ICD-10-PCS code XW0V0P7 
in MS-DRGs 616, 617, 628, and 629 have a longer average length of stay 
and higher average costs compared to all the cases in their respective 
MS-DRGs. We note there were zero cases reporting ICD-10-PCS code 
XW0V0P7 in MS-DRGs 618 and 630.
    Based on our review and analysis of the data, we agree with the 
requestor that the average costs of the cases reporting ICD-10-PCS code 
XW0V0P7 at the lower severity level are more aligned with the average 
costs of the cases at the higher MCC severity level. To better reflect 
the resource utilization and severity of illness of patients with 
diabetic osteomyelitis, we are proposing to reassign cases reporting 
ICD-10-PCS code XW0V0P7 from the lower severity (without CC/MCC and 
with CC) MS-DRGs to the higher severity (MCC) level MS-DRG.
    As previously discussed, there were no cases found in our analysis 
reporting ICD-10-PCS code XW0V0P7 in MS-DRGs 618 and 630 at the 
``without CC/MCC'' level, however, if any cases reporting ICD-10-PCS 
code XW0V0P7 potentially grouped to MS-DRGs 618 or 630 in the future, 
we would anticipate those cases also demonstrating higher average costs 
compared to all the cases in their respective MS-DRG.
    Therefore, for FY 2027, we are proposing to reassign cases 
reporting procedure code XW0V0P7 from the lower severity level MS-DRGs 
617 and 618 to the higher severity (MCC) level MS-DRG 616 and from the 
lower severity level MS-DRGs 629 and 630 to the higher severity (MCC) 
level MS-DRG 628. We are also proposing to revise the title of MS-DRG 
616 from ``Amputation of Lower Limb for Endocrine, Nutritional and 
Metabolic Disorders with MCC'' to ``Amputation of Lower Limb for 
Endocrine, Nutritional and Metabolic Disorders with MCC or Insertion of 
Antibiotic-eluting Bone Void Filler'' and to revise the title of MS-DRG 
628 from ``Other Endocrine, Nutritional and Metabolic O.R. Procedures 
with MCC'' to ``Other Endocrine, Nutritional and Metabolic O.R. 
Procedures with MCC or Insertion of Antibiotic-eluting Bone Void 
Filler'' to reflect the reassignment of cases reporting procedure code 
XW0V0P7.
6. MDC 11 (Diseases and Disorders of the Kidney and Urinary Tract)
a. Prostatectomy
    Consistent with our annual review of the MS-DRGs, we identified 
that the current GROUPER logic for MDC 11 MS-DRGs 665, 666, and 667 
(Prostatectomy with MCC, with CC, and without CC/MCC, respectively) 
contains a logic list referred to as ``OPERATING ROOM PROCEDURES'' that 
includes 14 ICD-10-PCS procedure codes describing the destruction, 
excision, and resection of the prostate and also includes eight ICD-10-
PCS procedure code combinations or procedure code ``clusters'' that, 
when reported together, satisfy the logic for assignment to MS-DRGs 
665, 666, and 667. The code combinations are represented by two ICD-10-
PCS procedure codes and include one ICD-10-PCS code for the resection 
of the prostate with one ICD-10-PCS code for the resection of bilateral 
seminal vesicles.
    We refer the reader to the ICD-10 MS-DRG Definitions Manual Version 
43.1, which is available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software, for complete documentation of the 
GROUPER logic for MDC 11 MS-DRGs 665, 666, and 667.
    The eight ICD-10-PCS procedure code combinations currently assigned 
to MDC 11 MS-DRGs 665, 666, and 667 that identify the resection of the 
prostate with the resection of bilateral seminal vesicles are shown in 
the following table:

[[Page 19355]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.039

    As we examined the GROUPER logic that would determine the 
assignment of a case to MDC 11 MS-DRGs 665, 666, and 667, we noted that 
ICD-10-PCS codes 0VT00ZZ, 0VT04ZZ, 0VT07ZZ and 0VT08ZZ that describe 
the resection of the prostate, differing only in approach, are assigned 
to MS-DRGs 665, 666, and 667 as standalone procedures, as well as being 
included in the eight procedure code combinations listed previously in 
these same MS-DRGs. We note that the GROUPER software program will 
recognize codes 0VT00ZZ, 0VT04ZZ, 0VT07ZZ and 0VT08ZZ and assign MS-
DRGs 665, 666, and 667 even when a procedure code describing the 
resection of the bilateral seminal vesicles is not also reported, when 
the other parameters of the GROUPER logic are met. As procedure codes 
0VT00ZZ, 0VT04ZZ, 0VT07ZZ and 0VT08ZZ are assigned to MS-DRGs 665, 666, 
and 667 as standalone procedures, specific assignment of these 
procedure codes in procedure code combinations in MS-DRGs 665, 666, and 
667 is not required.
    Therefore, for FY 2027, we are proposing to remove the eight ICD-
10-PCS procedure code combinations listed previously from the GROUPER 
logic of MDC 11 MS-DRGs 665, 666, and 667 (Prostatectomy with MCC, with 
CC, and without CC/MCC, respectively).
b. Islet Cell Transplantation
    As discussed in section II.C.11.b.1 of this FY 2027 IPPS/LTCH PPS 
proposed rule, we received a request to change the designation of ICD-
10-PCS code XW033DA (Introduction of donislecel-jujn allogeneic 
pancreatic islet cellular suspension into peripheral vein, percutaneous 
approach, new technology group 10) from a non-O.R. procedure to an O.R. 
procedure. In the ICD-10 MS-DRGs Definitions Manual Version 43.1, 
procedure code XW033DA is currently designated as a non-O.R. procedure 
affecting assignment to MS-DRGs 673, 674, and 675 (Other Kidney and 
Urinary Tract Procedures with MCC, with CC, and without CC/MCC, 
respectively).
    In our review of the GROUPER logic of MS-DRGs 673, 674, and 675, we 
noted that the logic for case assignment to MS-DRGs 673, 674, and 675 
as displayed in the ICD-10 MS-DRG Version 43.1 Definitions Manual 
(which is available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) is comprised of seven logic lists. 
The first logic list is entitled ``Operating Room Procedures'' and is 
defined by a list of 1,754 ICD-10-PCS procedure codes describing 
surgical procedures which, while infrequent, could still reasonably be 
expected to be performed for a patient in MDC 11. The second and third 
logic lists are entitled ``or Principal Diagnosis'' and are defined by 
the 25 ICD-10-CM diagnosis codes. The fourth logic list is entitled 
``with Secondary Diagnosis'' and is defined by ICD-10-CM diagnosis 
codes N18.5 (Chronic kidney disease, stage 5) and N18.6 (End stage 
renal disease). The fifth logic list is entitled ``and Non-Operating 
Room Procedures'' and is defined by a list of 30 ICD-10-PCS procedure 
codes describing the insertion of totally implantable vascular access 
devices (TIVADs) and tunneled vascular access devices. The second, 
third, and fourth logic lists are the components of the special logic 
in MS-DRGs 673, 674, and 675 for certain MDC 11 diagnoses reported with 
procedure codes for the insertion of tunneled or totally implantable 
vascular access devices.
    The sixth logic list entitled ``or Principal Diagnosis'' is defined 
by ICD-10-CM diagnosis codes E10.21 (Type 1 diabetes mellitus with 
diabetic nephropathy), E10.22 (Type 1 diabetes mellitus with diabetic 
chronic kidney disease) and E10.29 (Type 1 diabetes mellitus with other 
diabetic kidney complication) and the seventh logic list entitled ``and 
Non-Operating Room Procedures'' is defined by the 11 ICD-10-PCS 
procedure codes describing the introduction of pancreatic islet cells 
listed in the following table. These 11 procedure codes are all 
designated as non-O.R. procedures affecting assignment to MS-DRGs 673, 
674, and 675 (Other Kidney and Urinary Tract Procedures with MCC, with 
CC, and without CC/MCC, respectively).
BILLING CODE 4120-01-P

[[Page 19356]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.040

    The sixth and seventh logic lists are the components of the special 
logic in MS-DRGs 673, 674, and 675 for pancreatic islet cell 
transplantation. As discussed in the FY 2005 IPPS/LTCH PPS final rule 
(69 FR 48950 through 48953), the procedure codes describing islet cell 
transplantation were added to the GROUPER logic of DRG 315 (Other 
Kidney and Urinary Tract O.R. Procedures), the predecessor DRG of MS-
DRGs 673, 674, and 675, to recognize the resource utilization 
associated with islet cell transplantation, performed to decrease or 
eliminate the need for insulin in patients with type 1 diabetes, in the 
absence of any other surgical procedure.
    In the FY 2005 IPPS/LTCH PPS final rule, we acknowledged that islet 
cell transplants do not involve either the kidney or the urinary tract 
directly. Rather, the islet cells are transplanted into the patient's 
liver. We also acknowledged that the diagnoses are the same for islet 
cell and pancreas transplants, and that the patient populations 
involved in these two procedures are virtually identical in terms of 
comorbidities and the nature of their primary disease. However, we 
stated islet cell transplants are not exactly the same as solid organ 
transplants. We stated that while the patient populations requiring 
intervention are similar, we did not believe that one can equate an 
operation of the magnitude of a pancreas transplant with a less 
intensive islet cell transplantation in which the portal vein is 
accessed and islet cells infused through a catheter. It is only because 
the technical aspects of islet transplants are of a surgical nature 
that we modified surgical DRG 315 to reflect the transfusion of islet 
cells.
    To understand the resource use for the subset of cases reporting 
procedure codes describing the introduction of pancreatic islet cells 
for this FY 2027 IPPS/LTCH PPS proposed rule, we began our analysis by 
examining claims data from the September 2025 update of the FY 2025 
MedPAR file for cases assigned to MS-DRGs 673, 674, and 675. We found 
zero cases reporting procedure codes describing the introduction of 
pancreatic islet cells in MS-DRGs 673, 674, and 675.
    Then, to evaluate the frequency with which the procedure codes 
describing the introduction of pancreatic islet cells are reported for 
different clinical scenarios, we examined claims data from the 
September 2025 update of the FY 2025 MedPAR file to determine the MS-
DRGs reporting one of the 11 procedure codes listed previously that 
describe the introduction of pancreatic islet cells. Our findings are 
shown in the following table.
[GRAPHIC] [TIFF OMITTED] TP14AP26.041


[[Page 19357]]


BILLING CODE 4120-01-C
    The data analysis shows a procedure code describing the 
introduction of pancreatic islet cells was reported in a total of ten 
cases across five MS-DRGs with an average length of stay of 20.2 days 
and average costs of $101,092. We reviewed these assignments and note 
that the special logic in MS-DRGs 673, 674, and 675 for pancreatic 
islet cell transplantation is defined by ICD-10-CM diagnosis codes 
E10.21 (Type 1 diabetes mellitus with diabetic nephropathy), E10.22 
(Type 1 diabetes mellitus with diabetic chronic kidney disease) and 
E10.29 (Type 1 diabetes mellitus with other diabetic kidney 
complication). As noted previously, the ICD-10-PCS procedure codes 
describing the introduction of pancreatic islet cells are all 
designated as non-O.R. procedures affecting assignment only to MS-DRGs 
673, 674, and 675. Therefore, when diagnosis codes E10.21, E10.22, or 
E10.29 are not reported as principal diagnosis, the MS-DRG assignment 
is determined by the principal diagnosis and other procedures reported 
on the claim when the ICD-10-PCS procedure codes describing the 
introduction of pancreatic islet cells are assigned.
    Pancreatic islet cell transplantation is indicated for patients 
with type 1 diabetes who have attempted to control their hypoglycemic 
episodes medically but continue to have hypoglycemic episodes without 
recognizing them.\13\ As the indication for pancreatic islet cell 
transplantation is not limited to patients with type 1 diabetes 
mellitus with kidney complications, we believe the special logic in MS-
DRGs 673, 674, and 675 for pancreatic islet cell transplantation does 
not fully reflect the indications for pancreatic islet cell 
transplantation.
---------------------------------------------------------------------------

    \13\ Spence KT, Ladie DE. Islets Transplantation. [Updated 2023 
Aug 8]. In: StatPearls [internet]. Treasure Island (FL): StatPearls 
Publishing; 2025 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK562272/.
---------------------------------------------------------------------------

    We further note in type 1 diabetes, the body's immune system 
attacks and destroys the beta cells. Patients with type 1 diabetes must 
take insulin because their bodies no longer make this hormone. In 
patients for whom the primary indication for transplantation is 
unstable glycemic control, particularly hypoglycemic unawareness, the 
choice is between solid-organ pancreas transplantation alone or islet 
transplantation.\14\ Islet cell transplantation offers a less invasive 
established alternative to pancreas transplant, and the procedures are 
regulated similarly.\15\ The goal of both pancreas whole organ 
transplant and islet cell transplantation is to enable effective, 
stable glycemic management (often with insulin independence), to 
improve quality of life, and to reduce secondary complications. Both 
pancreas and islet cell transplantation require lifelong 
immunosuppression to prevent rejection of the graft. Islet 
transplantation may be performed at the same time as or after a kidney 
transplant. Kidney transplant recipients will already be taking 
immunosuppressants to prevent rejection of the transplanted kidney. 
Therefore, the islet transplant does not add much more risk.
---------------------------------------------------------------------------

    \14\ Mittal S, Johnson P, Friend P. Pancreas transplantation: 
solid organ and islet. Cold Spring Harb Perspect Med. 2014 Apr 
1;4(4):a015610. doi: 10.1101/cshperspect.a015610. PMID: 24616200; 
PMCID: PMC3968790.
    \15\ Rickels MR, Robertson RP. Pancreatic Islet Transplantation 
in Humans: Recent Progress and Future Directions. Endocr Rev. 2019 
Apr 1;40(2):631-668. doi: 10.1210/er.2018-00154. PMID: 30541144; 
PMCID: PMC6424003.
---------------------------------------------------------------------------

    As discussed in prior rulemaking, the MS-DRGs are a classification 
system intended to group together diagnoses and procedures with similar 
clinical characteristics and utilization of resources. We generally 
seek to identify sufficient sets of claims data with demonstrated 
clinical similarity in developing diagnosis related groups. After 
reviewing the indications for both whole organ pancreas transplant and 
pancreatic islet cell transplantation, and consideration of the intent 
of the MS-DRGs, we believe that for clinical coherence, the cases 
reporting procedure codes that describe the introduction of pancreatic 
islet cells should be grouped with the subset of cases that report 
pancreas transplant procedures. While we continue to acknowledge that 
islet cell transplants are not exactly the same as solid organ pancreas 
transplants, we believe the procedures are coherent given the 
similarity in clinical indication. For these reasons, we believe 
reassigning the 11 ICD-10-PCS procedure codes that describe the 
introduction of pancreatic islet cells from MS-DRGs 673, 674, and 675 
to Pre-MDC MS-DRGs 008 (Simultaneous Pancreas and Kidney Transplant), 
MS-DRG 010 (Pancreas Transplant) and MS-DRG 019 (Simultaneous Pancreas 
and Kidney Transplant with Hemodialysis) would improve clinical 
coherence in these MS-DRGs.
    The following table reflects the simulation of our proposed changes 
in MS-DRGs 008, 010, and 019.
[GRAPHIC] [TIFF OMITTED] TP14AP26.042

    We believe that this simulation supports that the resulting MS-DRG 
assignments would be more clinically homogeneous, coherent and better 
reflect hospital resource use. As the table shows, for MS-DRG 008, 
there were a total of 168 cases with an average length of stay of 9.3 
days and average costs of $51,760. For MS-DRG 010,

[[Page 19358]]

there were a total of 20 cases with an average length of stay of 15.8 
days and average costs of $66,872. For MS-DRG 019, there were a total 
of 56 cases with an average length of stay of 14.5 days and average 
costs of $69,841. A review of this simulation shows that adding a new 
``Islet Cell Transplant Procedures'' logic list, to the GROUPER logic 
in MS-DRGs 008, 010, and 019 has a limited effect on the average costs 
of these MS-DRGs, while leading to a grouping that is more coherent and 
better reflects the clinical severity and resource use involved in 
these cases.
    In summary, for FY 2027, for clinical coherence, we are proposing 
to add the 11 ICD-10-PCS procedure codes that describe the introduction 
of pancreatic islet cells to a new ``Islet Cell Transplant Procedures'' 
logic list in MS-DRGs 008, 010, and 019. Additionally, we are also 
proposing to delete the sixth logic list entitled ``or Principal 
Diagnosis'' that is defined by ICD-10-CM diagnosis codes E10.21 (Type 1 
diabetes mellitus with diabetic nephropathy), E10.22 (Type 1 diabetes 
mellitus with diabetic chronic kidney disease) and E10.29 (Type 1 
diabetes mellitus with other diabetic kidney complication) and the 
seventh logic list entitled ``and Non-Operating Room Procedures'' from 
MS-DRGs 673, 674, and 675. Lastly, for consistency, we are proposing to 
change the title of MS-DRG 008 from ``Simultaneous Pancreas and Kidney 
Transplant'' to ``Simultaneous Pancreas, Islet Cell and Kidney 
Transplant,'' proposing to change the title of MS-DRG 010 from 
``Pancreas Transplant'' to ``Pancreas or Islet Cell Transplant'' and 
proposing to change the title of MS-DRG 019 from ``Simultaneous 
Pancreas and Kidney Transplant with Hemodialysis'' to ``Simultaneous 
Pancreas, Islet Cell and Kidney Transplant with Hemodialysis'' to 
better reflect the assigned procedures effective October 1, 2026, for 
FY 2027. Under this proposal, the current ``principal or secondary 
diagnosis'' logic in MS-DRGs 008, 010, and 019 would be maintained. 
Additionally, to maintain stability, we propose to add logic to MS-DRG 
010 to exclude cases also reporting kidney transplant procedures to 
ensure cases will continue to group accordingly to MS-DRGs 008 and 019.
    We refer the reader to Table 6P.4a, Table 6P.4b, and Table 6P.4c 
associated with this FY 2027 IPPS/LTCH PPS proposed rule (which is 
available on the CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index) for the list of 
procedure codes we are proposing to define in the ``Islet Cell 
Transplant Procedures'' logic list in Pre-MDC MS-DRGs 008, 010, and 
019. We note that discussion of the surgical hierarchy for the proposed 
modification is discussed in section II.C.14. of the preamble of this 
FY 2027 IPPS/LTCH PPS proposed rule.
7. MDC 12 (Diseases and Disorders of the Male Reproductive System): 
Prostatectomy
    Consistent with our annual review of the MS-DRGs, we identified 
that the current GROUPER logic for MDC 12 MS-DRGs 707 and 708 (Major 
Male Pelvic Procedures with MCC and without CC/MCC, respectively) 
contains a logic list referred to as ``OPERATING ROOM PROCEDURES'' that 
includes 51 procedure codes describing various male pelvic procedures, 
including procedure codes describing the destruction, or resection of 
the prostate, and also includes eight procedure code combinations or 
procedure code ``clusters'' that, when reported together, satisfy the 
logic for assignment to MS-DRGs 707 and 708. The code combinations are 
represented by two procedure codes and include one code for the 
resection of the prostate with one code for the resection of bilateral 
seminal vesicles.
    We refer the reader to the ICD-10 MS-DRG Definitions Manual Version 
43.1, which is available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software, for complete documentation of the 
GROUPER logic for MDC 12 MS-DRGs 707 and 708.
    The eight ICD-10-PCS procedure code combinations currently assigned 
to MS-DRGs 707 and 708 that identify the resection of the prostate with 
the resection of bilateral seminal vesicles are shown in the following 
table:
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.043

    As we examined the GROUPER logic that would determine an assignment 
of a case to MDC 12 MS-DRGs 707 and 708, we noted that ICD-10-PCS codes 
0VT00ZZ (Resection of prostate, open approach) and 0VT04ZZ (Resection 
of prostate, percutaneous endoscopic approach) that describe the 
resection of the prostate, differing only in approach,

[[Page 19359]]

are assigned to MS-DRGs 707 and 708 as standalone procedures, as well 
as being included in one of the eight procedure code combinations, or 
code clusters, listed previously in these same MS-DRGs. We note that 
the GROUPER software program will recognize codes 0VT00ZZ and 0VT04ZZ 
and assign MS-DRGs 707 and 708 even when a procedure code describing 
the resection of the bilateral seminal vesicles is not also reported 
when the other parameters of the GROUPER logic are met. As procedure 
codes 0VT00ZZ and 0VT04ZZ are assigned to MS-DRGs 707 and 708 as 
standalone procedures, specific assignment of these procedure codes in 
procedure code combinations in MS-DRGs 707 and 708 is not required.
    During our review of this issue, we noted that that ICD-10-PCS 
codes 0VT07ZZ (Resection of prostate, via natural or artificial 
opening) and 0VT08ZZ (Resection of prostate, via natural or artificial 
opening endoscopic) that describe the transurethral resection of the 
prostate, or removal of the prostate using an instrument inserted 
through the urethra, are also represented in the eight procedure code 
combinations in MS-DRGs 707 and 708. These codes are assigned to MDC 12 
MS-DRGs 713 and 714 (Transurethral Prostatectomy with CC/MCC and 
without CC/MCC) when reported as standalone procedures. We refer the 
reader to the ICD-10 MS-DRG Definitions Manual Version 43.1, which is 
available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software, for complete documentation of the GROUPER logic for MDC 
12 MS-DRGs 713 and 714.
    We then analyzed claims data from the September 2025 update of the 
September 2025 MedPAR file for all cases in MS-DRGs 707 and 708 and 
compared the results to cases reporting procedure codes describing 
transurethral prostatectomy and resection of bilateral seminal vesicles 
in these MS-DRGs. Our findings are shown in the following table.
[GRAPHIC] [TIFF OMITTED] TP14AP26.044

    As shown in the table, for MS-DRG 707, we identified a total of 
1,697 cases, with an average length of stay of 3.1 days and average 
costs of $19,942. Of the 1,697 cases in MS-DRG 707, there were three 
cases reporting transurethral prostatectomy and resection of bilateral 
seminal vesicles with an average length of stay of 4 days and average 
costs of $14,896. For MS-DRG 708, we identified a total of 1,685 cases, 
with an average length of stay of 1.5 days and average costs of 
$14,075. Of the 1,685 cases in MS-DRG 708, there was one case reporting 
transurethral prostatectomy and resection of bilateral seminal vesicles 
with a length of stay of 1 day and costs of $6,726.
    We also examined claims data from the September 2025 update of the 
September 2025 MedPAR file for MS-DRGs 713 and 714. Our findings are 
shown in the following table.
[GRAPHIC] [TIFF OMITTED] TP14AP26.045

BILLING CODE 4120-01-C
    In MS-DRG 713, we found a total of 3,746 cases with an average 
length of stay of 3.4 days and average costs of $14,670. In MS-DRG 714, 
we found a total of 860 cases with an average length of stay of 1.7 
days and average costs of $10,869.
    Overall, the data analysis shows that the average costs for the 
cases reporting transurethral prostatectomy and resection of bilateral 
seminal vesicles in MS-DRGs 707 and 708 are more aligned with the 
average costs for all the cases in MS-DRGs 713 ($14,896 versus $14,670) 
and 714 ($6,726 versus $10,869), respectively.
    We reviewed this issue and noted that ICD-10-PCS procedure codes 
0VT07ZZ or 0VT08ZZ describe transurethral resection of the prostate, 
and therefore, are most clinically aligned with the procedure codes 
assigned to MDC 12 MS-DRGs 713 and 714, where they are currently 
assigned when reported as standalone procedures.
    Therefore, for FY 2027, we are proposing to delete the eight ICD-
10-PCS procedure code combinations listed previously from the GROUPER 
logic of MDC 12 MS-DRGs 707 and 708 (Major Male Pelvic Procedures with 
CC/MCC and without CC/MCC, respectively). Under this proposal, when the 
other parameters of the GROUPER logic are met, cases reporting 
procedure codes 0VT00ZZ (Resection of prostate, open approach) and 
0VT04ZZ (Resection of prostate, percutaneous endoscopic approach) would 
group to MS-DRGs 707 and 708, even when a procedure code describing the 
resection of the bilateral seminal vesicles is not also reported. 
Additionally, under this proposal, when the other parameters of the 
GROUPER logic are met, cases reporting procedure codes 0VT07ZZ 
(Resection of prostate, via natural or artificial opening) or 0VT08ZZ 
(Resection of prostate, via natural or artificial opening endoscopic) 
would group to MS-DRGs 713 and 714 (Transurethral Prostatectomy with 
CC/MCC and without CC/MCC), even when a procedure code describing the

[[Page 19360]]

resection of the bilateral seminal vesicles is not also reported.
    During our review of this issue and the examination of the MS-DRGs 
within MDC 12, we noted that the title of MS-DRGs 715 and 716 is 
``Other Male Reproductive System O.R. Procedures for Malignancy with 
and without CC/MCC, respectively'' and the title of MS-DRGs 717 and 718 
is ``Other Male Reproductive System O.R. Procedures Except Malignancy 
with and without CC/MCC, respectively.'' In examining the GROUPER logic 
for these MS-DRGs and reviewing the diagnoses listed under the heading 
of ``Principal Diagnosis'' in the ICD-10 MS-DRG Definitions Manual, we 
believe the titles for these MS-DRGs no longer accurately reflect the 
assigned diagnoses. The titles of DRGs 715, 716, 717, and 718 were 
established prior to the transition to the Medicare Severity DRGs (MS-
DRGs) from the CMS DRGs (48 FR 39883). In the development of the DRGs, 
generally, in each MDC, a medical and a surgical class was formed and 
referred to as ``other medical diseases'' and ``other surgical 
procedures,'' respectively. The ``other'' medical and surgical classes 
are not as precisely defined from a clinical perspective and include 
diagnoses or procedures which are infrequently encountered. The 
``other'' surgical class contains surgical procedures which, while 
infrequent, could still reasonably be expected to be performed for a 
patient in the particular MDC. Assignment to the ``other'' surgical 
class should only occur if no other surgical class more closely related 
to the diagnoses in the MDC is appropriate. As the cases in MS-DRGs 715 
and 716 are further defined based on the precise principal diagnosis 
for which the patients were admitted to the hospital, we believe it is 
appropriate to propose to revise the titles of these MS-DRGs for 
consistency. Therefore, we are also proposing to change the title of 
MS-DRGs 715 and 716 from ``Other Male Reproductive System O.R. 
Procedures for Malignancy with and without CC/MCC, respectively'' to 
``Male Reproductive System and Other O.R. Procedures for Malignancy 
with and without CC/MCC, respectively'' and to change the title of MS-
DRGs 717 and 718 from ``Other Male Reproductive System O.R. Procedures 
Except Malignancy with and without CC/MCC, respectively'' to ``Other 
Male Reproductive System O.R. Procedures with and without CC/MCC, 
respectively'' to better reflect the assigned diagnoses.
    As discussed in section II.C.1.b of the preamble of this proposed 
rule, we are providing a test version of the ICD-10 MS-DRG GROUPER 
Software, Version 44, so that the public can better analyze and 
understand the impact of the proposals included in this proposed rule. 
We note that at the time of the development of the test software, this 
issue was unable to be addressed and therefore, the test software does 
not reflect the proposed change to the title of MS-DRGs 715 and 716 
from ``Other Male Reproductive System O.R. Procedures for Malignancy 
with and without CC/MCC, respectively'' to ``Male Reproductive System 
and Other O.R. Procedures for Malignancy with and without CC/MCC, 
respectively'' and the proposed change to the title of MS-DRGs 717 and 
718 from ``Other Male Reproductive System O.R. Procedures Except 
Malignancy with and without CC/MCC, respectively'' to ``Other Male 
Reproductive System O.R. Procedures with and without CC/MCC, 
respectively'' in MDC 12 for Version 44.
8. MDC 13 (Diseases and Disorders of the Female Reproductive System): 
Fluorescence Guided Procedures of the Female Reproductive System Using 
Pafolacianine
    CYTALUX[supreg] (pafolacianine) is a folate receptor-targeted 
fluorescent optical imaging agent used as an adjunct for intraoperative 
identification of ovarian cancer. CYTALUX[supreg] binds to the folate 
receptors on these cancer cells and is endocytosed into folate receptor 
positive cancer cells. CYTALUX[supreg] is administered intravenously 
prior to gynecologic oncology procedures, including ovarian 
cytoreduction and debulking surgeries, and requires use of a near-
infrared imaging system (NIR) to illuminate, thereby making cancer 
visible within the surgical field. CYTALUX[supreg] received FDA 
approval and is indicated as an adjunct for intraoperative 
identification of malignant lesions in adult patients with ovarian 
cancer. We note that CYTALUX[supreg] for the ovarian indication was 
approved for new technology add-on payments for FY 2024 (88 FR 58804 
through 58810) and FY 2025 (89 FR 69120 through 69126).
    We received a request from the manufacturer of CYTALUX[supreg] to 
modify the GROUPER logic of MS-DRGs 736, 737, and 738 (Uterine and 
Adnexa Procedures for Ovarian or Adnexal Malignancy with MCC, with CC, 
and without CC/MCC, respectively) by reassigning cases with an ICD-10-
PCS code that describes fluorescence guided procedures of the female 
reproductive system using CYTALUX[supreg] (pafolacianine) to the higher 
severity level MS-DRG 736 (with MCC) or MS-DRG 737 (with CC). According 
to the requestor, the utilization of CYTALUX[supreg] does not change 
the surgical procedure but adds significant cost. The requestor 
performed their own analysis of Medicare claims data from 10/1/2023-3/
31/2025 and stated they found approximately 13 cases that used 
CYTALUX[supreg] in ovarian surgery and that they expect adoption to 
accelerate as NIR systems become more widely available. The requestor 
stated they found that over 50% of cases using CYTALUX[supreg] in 
ovarian procedures triggered new technology add-on payments averaging 
$2,285. The requestor also stated they found cases reporting an ICD-10-
PCS code that describes fluorescence guided procedures of the female 
reproductive system using CYTALUX[supreg] (pafolacianine) within MS-DRG 
737 exhibit higher average costs than baseline and align more closely 
with cases in MS-DRG 736. Additionally, the requestor stated their 
analysis also found cases that reported the use of CYTALUX[supreg] in 
MS-DRGs 739, 740, and 741 (Uterine and Adnexa Procedures for Non-
Ovarian and Non-Adnexal Malignancy with MCC, with CC, and without CC/
MCC, respectively) due to the reporting of diagnosis codes describing 
metastatic malignancies. The requestor stated their analysis found that 
cases reporting an ICD-10-PCS code that describes fluorescence guided 
procedures of the female reproductive system using CYTALUX[supreg] 
(pafolacianine) cases in MS-DRG 737 exhibited higher average costs than 
baseline ($34,735 vs. $23,538) and aligned more closely with cases in 
MS-DRG 736 ($39,682).
    The requestor further asserted that their review of the Inpatient 
Standard Analytical Files (SAF) indicated there were some accounts 
underreporting the full cost of the vial of CYTALUX[supreg] due to 
inconsistent guidance for single-use inpatient drugs and that, where 
applicable, pharmacy costs were adjusted to account for missing costs 
of the single-use vial. The requestor stated they found that cases 
reporting an ICD-10-PCS code that describes fluorescence guided 
procedures of the female reproductive system using CYTALUX[supreg] 
(pafolacianine) in MS-DRG 737 were approximately $11,000 more expensive 
than non-CYTALUX cases when controlled for the underreporting of costs. 
Therefore, the requestor suggested that CMS reassign cases with an ICD-
10-PCS code that describes fluorescence guided procedures of the female 
reproductive system using CYTALUX[supreg] (pafolacianine) to MS-DRGs 
736 or 737 to ensure accurate payment, clinical

[[Page 19361]]

integrity, and to prevent barriers to hospital adoption of 
CYTALUX[supreg] as NIR system availability expands nationwide.
    To begin our analysis, we reviewed the GROUPER logic for MS-DRGs 
736, 737, 738, 739, 740, and 741. MS-DRGs 736, 737, 738, 739, 740 and 
741 contains a logic list referred to as ``OPERATING ROOM PROCEDURES'' 
that includes 689 ICD-10-PCS procedure codes that describe uterine and 
adnexa procedures, a logic list referred to as ``Ovarian or Adnexal 
Malignancy PRINCIPAL DIAGNOSIS'' that includes 22 ICD-10-CM diagnosis 
codes that describe ovarian or adnexal malignancies and a logic list 
referred to as ``Non-Ovarian and Non-Adnexal Malignancy PRINCIPAL 
DIAGNOSIS'' that includes 36 ICD-10-CM diagnosis codes that describe 
non-ovarian and non-adnexal malignancies. We refer the reader to the 
ICD-10 MS-DRG Definitions Manual, Version 43.1 (available on the CMS 
website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for 
complete documentation of the GROUPER logic for MS-DRGs 736, 737, 738, 
739, 740, and 741.
    The following five ICD-10-PCS procedure codes describe fluorescence 
guided procedures of the female reproductive system using pafolacianine 
for the ovarian indication.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.046

    In the ICD-10 MS-DRGs Definitions Manual Version 43.1, procedure 
codes 8E0U0EN, 8E0U3EN, 8E0U4EN, 8E0U7EN, and 8E0U8EN are designated as 
non-O.R. procedures for purposes of MS-DRG assignment, therefore when 
CYTALUX[supreg] is utilized during a uterine and adnexa procedure 
described by one of the 689 ICD-10-PCS procedure codes in the GROUPER 
logic for MS-DRGs 736, 737, 738, 739, 740, and 741, the ICD-10-PCS code 
describing the uterine and adnexa procedure will determine the surgical 
MS-DRG assignment to one of the previously listed surgical MS-DRGs 
based on the principal diagnosis reported.
    We then examined claims data from the September 2025 update of the 
FY 2025 MedPAR file for MS-DRGs 736, 737, 738, 739, 740, and 741 to 
identify cases reporting one of the five procedure codes listed 
previously that describe fluorescence guided surgery using 
CYTALUX[supreg] (pafolacianine). Our findings are shown in the 
following table:
[GRAPHIC] [TIFF OMITTED] TP14AP26.047


[[Page 19362]]


BILLING CODE 4120-01-C
    As shown in the table, in MS-DRG 736, we identified a total of 647 
cases with an average length of stay of 8.5 days and average costs of 
$33,196. Of those 647 cases, there were two cases reporting one of the 
five procedure codes that describe fluorescence guided surgery using 
CYTALUX[supreg] (pafolacianine), with average costs lower than the 
average costs in the FY 2025 MedPAR file for MS-DRG 736 ($28,068 
compared to $33,196) and a shorter average length of stay (7 days 
compared to 8.5 days). There were zero cases reporting one of the five 
procedure codes that describe fluorescence guided surgery using 
CYTALUX[supreg] (pafolacianine) in MS-DRGs 737 and 738.
    In MS-DRG 739, we identified a total of 481 cases with an average 
length of stay of 8.4 days and average costs of $33,235. Of those 481 
cases, there were two cases reporting one of the five procedure codes 
that describe fluorescence guided surgery using CYTALUX[supreg] 
(pafolacianine), with average costs lower than the average costs in the 
FY 2025 MedPAR file for MS-DRG 739 ($11,565 compared to $33,235) and a 
shorter average length of stay (1.5 days compared to 8.4 days). In MS-
DRG 740, we identified a total of 1,327 cases with an average length of 
stay of 3.2 days and average costs of $16,784. Of those 1,327 cases, 
there was one case reporting one of the five procedure codes that 
describe fluorescence guided surgery using CYTALUX[supreg] 
(pafolacianine), with costs higher than the average costs in the FY 
2025 MedPAR file for MS-DRG 740 ($39,154 compared to $16,784), and a 
longer length of stay (5 days compared to 3.2 days). In MS-DRG 741, we 
identified a total of 740 cases with an average length of stay of 1.7 
days and average costs of $13,365. Of those 1,327 cases, there was one 
case reporting one of the five procedure codes that describe 
fluorescence guided surgery using CYTALUX[supreg] (pafolacianine), with 
costs higher than the average costs in the FY 2025 MedPAR file for MS-
DRG 741 ($14,036 compared to $13,365), and a shorter length of stay (1 
day compared to 1.7 days).
    The data reflects the six cases reporting one of the five procedure 
codes that describe fluorescence guided surgery using CYTALUX[supreg] 
(pafolacianine) found across MS-DRGs 736, 737, 738, 739, 740, and 741 
have an average length of stay of 3.8 days and average costs of 
$22,076. These six cases have a shorter average length of stay (3.8 
days versus 8.5 days) and lower average costs ($22,076 versus $33,196) 
when compared to all the cases in MS-DRG 736. The six cases reporting 
one of the five procedure codes that describe fluorescence guided 
surgery using CYTALUX[supreg] (pafolacianine) found across MS-DRGs 736, 
737, 738, 739, 740, and 741 have a shorter average length of stay (3.8 
days versus 4.3 days) and higher average costs ($22,076 versus $18,702) 
when compared to all the cases in MS-DRG 737.
    After reviewing the claims data, we believe it is premature to 
consider a proposal for cases with an ICD-10-PCS code that describes 
fluorescence guided procedures of the female reproductive system using 
CYTALUX[supreg] (pafolacianine) for FY 2027. While the data analysis 
reflects that six cases that report one of the five procedure codes 
that describe fluorescence guided surgery using CYTALUX[supreg] 
(pafolacianine) across MS-DRGs 736, 737, 738, 739, 740, and 741 
demonstrate slightly higher average costs compared to all the cases in 
MS-DRG 737, the number of cases is small across the MS-DRGs. The claims 
data also reflect a wide variance with regard to the average costs for 
these cases reporting fluorescence guided procedures of the female 
reproductive system using CYTALUX[supreg] (pafolacianine). We note the 
one case that reported a fluorescence guided procedure of the female 
reproductive system using CYTALUX[supreg] (pafolacianine) in MS-DRG 740 
had a length of stay of 5 days and costs of $39,154, while the two 
cases that reported a procedure code describing a fluorescence guided 
procedure of the female reproductive system using CYTALUX[supreg] 
(pafolacianine) in MS-DRG 739 had an average length of stay of 1.5 days 
and average costs of $11,565.
    We cannot ascertain from the claims data the resource use 
specifically attributable to the utilization of fluorescence guidance 
using CYTALUX[supreg] (pafolacianine) in procedures of the female 
reproductive system during inpatient admissions. We recognize the 
average costs of the small numbers of cases reporting an ICD-10-PCS 
code that describes fluorescence guided procedures of the female 
reproductive system using CYTALUX[supreg] (pafolacianine) can be 
greater when compared to the average costs of all cases in their 
respective MS-DRG however, the MS-DRG system is a system of averages 
and it is expected that within the diagnostic related groups, some 
cases may demonstrate higher than average costs, while other cases may 
demonstrate lower than average costs. We further note that section 
1886(d)(5)(A) of the Act provides for Medicare payments to Medicare-
participating hospitals in addition to the basic prospective payments 
for cases incurring extraordinarily high costs. We believe it would be 
advantageous to allow for more claims data to be analyzed in 
consideration of any future modifications to the MS-DRGs for which 
fluorescence guided surgeries using CYTALUX[supreg] (pafolacianine) are 
assigned. We will continue to evaluate the clinical coherence and 
resource consumption costs that impact this subset of cases and their 
MS-DRG assignment.
    Therefore for the reasons stated, for FY 2027, we are not proposing 
to modify the GROUPER logic of MS-DRGs 736, 737, and 738 (Uterine and 
Adnexa Procedures for Ovarian or Adnexal Malignancy with MCC, with CC, 
and without CC/MCC, respectively) by reassigning cases reporting ICD-
10-PCS codes that describes fluorescence guided procedures of the 
female reproductive system using CYTALUX[supreg] (pafolacianine) to the 
higher severity level MS-DRG 736 (with MCC) or MS-DRG 737 (with CC).
    During our review of this issue, we noted that the data analysis 
reflects that in cases reporting uterine and adnexa procedures in MS-
DRGs 736, 737, 738, 739, 740, and 741, the average costs and length of 
stay are generally similar without regard to the presence of diagnosis 
codes describing ``ovarian or adnexal'' malignancies or ``non-ovarian 
or non-adnexal'' malignancies. In MS-DRG 736, there were 647 cases 
reporting an uterine and adnexa procedures with a principal diagnosis 
describing an ``ovarian or adnexal'' malignancy and a MCC with average 
costs of $33,196 and an average length of stay of 8.5 days compared to 
481 cases reporting an uterine and adnexa procedures with a principal 
diagnosis describing a ``non-ovarian or non-adnexal'' malignancy and a 
MCC with average costs of $33,235 and an average length of stay of 8.4 
days in MS-DRG 739. In MS-DRG 737, there were 1,803 cases reporting an 
uterine and adnexa procedures with a principal diagnosis describing an 
``ovarian or adnexal'' malignancy and a CC with average costs of 
$18,702 and an average length of stay of 4.3 days compared to 1,327 
cases reporting an uterine and adnexa procedures with a principal 
diagnosis describing a ``non-ovarian or non-adnexal'' malignancy and a 
CC with average costs of $16,784 and an average length of stay of 3.2 
days in MS-DRG 740. In MS-DRG 738, there were 317 cases reporting an 
uterine and adnexa procedures with a principal diagnosis describing an 
``ovarian or adnexal'' malignancy without a CC or an

[[Page 19363]]

MCC with average costs of $13,519 and an average length of stay of 2.5 
days compared to 740 cases reporting an uterine and adnexa procedures 
with a principal diagnosis describing a ``non-ovarian or non-adnexal'' 
malignancy without a CC or an MCC with average costs of $13,365 and an 
average length of stay of 1.7 days in MS-DRG 741.
    We reviewed these findings and believe that it may no longer be 
necessary to subdivide these MS-DRGs based on the diagnosis codes 
reported. In the FY 1987 proposed notice titled ``Medicare Program; 
Changes to the DRG Classification System'' (51 FR 8770 through 8771), 
we stated that our analysis of cases with a principal diagnosis of 
malignancy where both a hysterectomy and uterine or adnexa procedures 
were performed suggested that malignancies and non-malignancies should 
be classified in different DRGs, and that ovarian and adnexa cancers 
were the most resource intensive of the malignancies in the DRGs 
reviewed. We further stated that, among the cases examined in the DRGs, 
the diagnosis had consistently greater explanatory power with respect 
to resource intensity than did the procedure performed, therefore we 
stated that cases with a principal diagnosis of malignancy would be 
further subdivided. Therefore, for FY 1987, DRG 357 (Non-Radical 
Hysterectomy, Uterus and Adnexa Procedures, for Ovarian and Adnexal 
Malignancy) and DRGs 354 and 355 (Non-Radical Hysterectomy, Uterus and 
Adnexa Procedures for Malignancy Except Ovarian/Adnexal Malignancy; Age 
over 69 and/or C.C., and Age under 70 without C.C., respectively) were 
created to ``increase homogeneity and thus more accurately reflect 
resource intensity of cases assigned to these DRGs'' (51 FR 31571).
    Our analysis of claims data from the September 2025 update of the 
FY 2025 MedPAR file shows that in the 39 years since the DRGs for cases 
reporting uterine and adnexa procedures split based on the presence of 
diagnosis codes describing ``ovarian or adnexal'' malignancies or 
``non-ovarian or non-adnexal'' malignancies were created, the resource 
utilization appears to now be more related to the procedures performed 
rather than the diagnoses describing malignancies reported on the 
claim, and therefore we believe it is appropriate to restructure these 
MS-DRGs accordingly. In our direct comparison of the cases reporting 
diagnosis codes describing ``ovarian or adnexal'' malignancies or 
``non-ovarian or non-adnexal'' malignancies in these MS-DRGs, we 
believe the distinction is no longer meaningful with regard to resource 
consumption. Clinically, a principal diagnosis of an ``ovarian or 
adnexal'' or a ``non-ovarian or non-adnexal'' malignancy in association 
with a uterine and adnexa procedure requires a commensurate level of 
patient care, including managing pain, monitoring for complications, 
ensuring proper wound and drain care, preventing blood clots, managing 
bowel function, and facilitating recovery through gradual activity, 
diet, and mobility. Decisions on potential further treatment like 
chemotherapy or radiation therapy for these diagnoses are based on the 
cancer's stage.
    We note that, as discussed in prior rulemaking, the MS-DRGs are a 
classification system intended to group together diagnoses and 
procedures with similar clinical characteristics and utilization of 
resources. We generally seek to identify sufficient sets of claims data 
with demonstrated clinical similarity in developing diagnosis related 
groups. As a result of our analysis and review of this issue, and 
consideration of the intent of the MS-DRGs, we believe the findings 
support restructuring the six MS-DRGs by proposing to create new MS-
DRGs for uterine and adnexa procedures for female reproductive system 
malignancies and eliminating the logic that differentiates cases by 
reporting principal diagnoses describing ``ovarian or adnexal'' and 
``non-ovarian or non-adnexal'' malignancies.
    For these reasons, we are proposing the deletion of MS-DRGs 736, 
737, 738, 739, 740, and 741, and the creation of a base MS-DRG for 
cases reporting uterine and adnexa procedures and a principal diagnosis 
describing a female reproductive system malignancy, split by a three-
way severity level subgroup. The following table illustrates our 
simulation of the proposal.
[GRAPHIC] [TIFF OMITTED] TP14AP26.048

    Consistent with our established process as discussed in section 
II.C.1.b. of the preamble of this proposed rule, once the decision has 
been made to propose to make further modifications to the MS-DRGs, all 
five criteria to create subgroups must be met for the base MS-DRG to be 
split (or subdivided) by a CC subgroup. Therefore, we applied the 
criteria to create subgroups in a base MS-DRG as discussed in section 
II.C.1.b. of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule. 
We note that, as shown in the table that follows, a three-way split of 
this proposed new base MS-DRG was met. The following table illustrates 
our findings.
[GRAPHIC] [TIFF OMITTED] TP14AP26.049

    For the proposed new MS-DRGs, there is (1) at least 500 cases in 
the MCC subgroup, the CC subgroup, and in the without CC/MCC subgroup; 
(2) at least 5 percent of the cases are in the MCC subgroup, the CC 
subgroup, and in the without CC/MCC subgroup; (3) at least a 20 percent 
difference in average costs between the MCC subgroup and the CC 
subgroup and between the CC group and NonCC subgroup; (4) at least a 
$2,000 difference in average costs between the MCC subgroup and the 
with CC subgroup and between the CC subgroup and NonCC subgroup; and 
(5) at least a 3-percent reduction in cost variance, indicating that 
the proposed severity level splits increase the explanatory power of 
the base MS-DRG in capturing differences in expected cost between the 
proposed MS-DRG severity level splits by at least 3 percent and thus 
improve the overall accuracy of the IPPS payment system.

[[Page 19364]]

    Therefore, for FY 2027, we are proposing to delete MS-DRGs 736, 
737, 738, 739, 740, and 741 and proposing to create new MS-DRGs 731 
(Uterine and Adnexa Procedures for Malignancy with MCC), MS-DRG 732 
(Uterine and Adnexa Procedures for Malignancy with CC), and MS-DRG 733 
(Uterine and Adnexa Procedures for Malignancy without CC/MCC). We are 
proposing to include the current list of 689 ICD-10-PCS procedure codes 
in the logic for MS-DRGs 736, 737, 738, 739, 740, and 741 for case 
assignment of uterine and adnexa procedures for the proposed new MS-
DRGs. We refer the reader to Table 6P.5a and Table 6P.5b associated 
with this FY 2027 IPPS/LTCH PPS proposed rule (which are available on 
the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps) for the lists of the 58 diagnosis 
codes and 689 procedure codes we are proposing to define in the logic 
for the proposed new MS-DRGs. We note that discussion of the surgical 
hierarchy for the proposed modification is discussed in section 
II.C.14. of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule.
9. MDC 25 (Human Immunodeficiency Virus Infections): Significant HIV 
Related Conditions
    Under the ICD-10 IPPS MS-DRGs, each of the 25 MDCs generally 
reflect a major organ system or etiology. Within each MDC, there is a 
list of all the possible ICD-10-CM diagnoses or conditions that 
correspond to the specific organ system(s) or etiology reflected by the 
respective MDC title to ensure clinical coherence. When one of the 
listed conditions for a designated MDC is reported as a principal or 
secondary diagnosis, the ICD-10-CM diagnosis code informs the resulting 
MS-DRG assignment from within that MDC.
    The logic for case assignment under MDC 25 (Human Immunodeficiency 
Virus Infections) is comprised of ICD-10-CM diagnosis code B20 (Human 
immunodeficiency virus [HIV] disease) when reported as a principal 
diagnosis or when reported as a secondary diagnosis with a principal 
diagnosis of a significant HIV related condition and the logic for case 
assignment specifically to MS-DRGs 974, 975, and 976 (HIV with Major 
Related Condition with MCC, with CC, without CC/MCC, respectively) 
under MDC 25 is comprised of ICD-10-CM diagnosis code B20 when reported 
as a principal or secondary diagnosis with a principal or secondary 
diagnosis of a major related condition as displayed in the ICD-10 MS-
DRG Definitions Manual, Version 43.1 (available on the CMS website at: 
https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software). In reviewing the 
listed diagnoses that fall under the MDC 25 header ``AND PRINCIPAL 
DIAGNOSIS OF SIGNIFICANT HIV RELATED CONDITION'' as reflected in the 
ICD-10 MS-DRG Definitions Manual, Version 43.1, we identified that a 
number of the listed diagnoses under this specific header overlap with 
the listed diagnoses in the logic list for case assignment to MS-DRGs 
974, 975, and 976 as a major related condition of HIV, as displayed in 
the ICD-10 MS-DRG Definitions Manual, Version 43.1. To improve clarity 
of the listed diagnoses between the header that reflects 
``SIGNIFICANT'' and the diagnoses listed in the logic for case 
assignment to MS-DRGs 974, 975, and 976 described as ``Major'', we 
believe the term ``SIGNIFICANT'' should be removed from the header 
under MDC 25.
    We also identified a subset of diagnoses listed under the header 
``AND PRINCIPAL DIAGNOSIS OF SIGNIFICANT HIV RELATED CONDITION'' that 
do not appear to describe a significant HIV related condition. For 
example, ICD-10-CM diagnosis code A09 Infectious gastroenteritis and 
colitis, unspecified, and ICD-10-CM diagnosis code A74.9 Chlamydial 
infection, unspecified, are listed under the current significant HIV 
header list of diagnoses; however, these same diagnoses are not listed 
as a major condition under MS-DRG 974, 975, and 976. We do not believe 
these conditions are clinically appropriate to be included as a 
significant HIV related condition. We intend to perform additional 
review and analysis of the diagnoses listed in the logic for case 
assignment to MDC 25 as well as specifically, the logic for case 
assignment to MS-DRGs 974, 975, and 976 in consideration of any 
potential modifications that may be warranted. Any discussion regarding 
proposed changes will be discussed in future rulemaking.
    Therefore, for FY 2027, we are proposing to remove the term 
``SIGNIFICANT'' under the header for MDC 25 and revise it to reflect, 
``AND PRINCIPAL DIAGNOSIS OF HIV RELATED CONDITION''.
10. Review of Procedure Codes in MS-DRGs 981 Through 983 and 987 
Through 989
    We annually conduct a review of procedures producing assignment to 
MS-DRGs 981 through 983 (Extensive O.R. Procedure Unrelated to 
Principal Diagnosis with MCC, with CC, and without CC/MCC, 
respectively) or MS-DRGs 987 through 989 (Non-Extensive O.R. Procedure 
Unrelated to Principal Diagnosis with MCC, with CC, and without CC/MCC, 
respectively) on the basis of volume, by procedure, to see if it would 
be appropriate to move cases reporting these procedure codes out of 
these MS-DRGs into one of the surgical MS-DRGs for the MDC into which 
the principal diagnosis falls. The data are arrayed in two ways for 
comparison purposes. We look at a frequency count of each major 
operative procedure code. We also compare procedures across MDCs by 
volume of procedure codes within each MDC. We use this information to 
determine which procedure codes and diagnosis codes to examine.
    We identify those procedures occurring in conjunction with certain 
principal diagnoses with sufficient frequency to justify adding them to 
one of the surgical MS-DRGs for the MDC in which the diagnosis falls. 
We also consider whether it would be more appropriate to move the 
principal diagnosis codes into the MDC to which the procedure is 
currently assigned.
    Based on the results of our review of the claims data from the 
September 2025 update of the FY 2025 MedPAR file of cases found to 
group to MS-DRGs 981 through 983 or MS-DRGs 987 through 989, we did not 
identify any cases for reassignment and are not proposing to move any 
cases from MS-DRGs 981 through 983 or MS-DRGs 987 through 989 into a 
surgical MS-DRG for the MDC into which the principal diagnosis or 
procedure is assigned.
    In addition to the internal review of procedures producing 
assignment to MS-DRGs 981 through 983 or MS-DRGs 987 through 989, we 
also consider requests that we receive to examine cases found to group 
to MS-DRGs 981 through 983 or MS-DRGs 987 through 989 to determine if 
it would be appropriate to add procedure codes to one of the surgical 
MS-DRGs for the MDC into which the principal diagnosis falls or to move 
the principal diagnosis to the surgical MS-DRGs to which the procedure 
codes are assigned. We did not receive any requests suggesting 
reassignment.
    We also review the list of ICD-10-PCS procedure codes that, when in 
combination with their principal diagnosis code, result in assignment 
to MS-DRGs 981 through 983, or 987 through 989, to ascertain whether 
any of those procedure codes should be reassigned from one of those two 
groups of MS-DRGs to the other group of MS-

[[Page 19365]]

DRGs based on average costs and the length of stay. We look at the data 
for trends such as shifts in treatment practice or reporting practice 
that would make the resulting MS-DRG assignment illogical. If we find 
these shifts, we would propose to move cases to keep the MS-DRGs 
clinically similar or to provide payment for the cases in a similar 
manner. Generally, we move only those procedure codes for which we have 
an adequate number of discharges to analyze the data.
    Additionally, we also consider requests that we receive to examine 
cases found to group to MS-DRGs 981 through 983 or MS-DRGs 987 through 
989 to determine if it would be appropriate for the cases to be 
reassigned from one of the MS-DRG groups to the other. Based on the 
results of our review of the claims data from the September 2025 update 
of the FY 2025 MedPAR file we did not identify any cases for 
reassignment. We also did not receive any requests suggesting 
reassignment. Therefore, for FY 2027 we are not proposing to move any 
cases reporting procedure codes from MS-DRGs 981 through 983 to MS-DRGs 
987 through 989 or vice versa.
11. Operating Room (O.R.) and Non-O.R. Procedures
a. Background
    Under the IPPS MS-DRGs (and former CMS MS-DRGs), we have a list of 
procedure codes that are considered operating room (O.R.) procedures. 
Historically, we developed this list using physician panels that 
classified each procedure code based on the procedure and its effect on 
consumption of hospital resources. For example, generally the presence 
of a surgical procedure which required the use of the operating room 
would be expected to have a significant effect on the type of hospital 
resources (for example, operating room, recovery room, and anesthesia) 
used by a patient, and therefore, these patients were considered 
surgical. Because the claims data generally available do not precisely 
indicate whether a patient was taken to the operating room, surgical 
patients were identified based on the procedures that were performed.
    Generally, if the procedure was not expected to require the use of 
the operating room, the patient would be considered medical (non-O.R.). 
Currently, each ICD-10-PCS procedure code has designations that 
determine whether and in what way the presence of that procedure on a 
claim impacts the MS-DRG assignment. First, each ICD-10-PCS procedure 
code is either designated as an O.R. procedure for purposes of MS-DRG 
assignment (``O.R. procedures'') or is not designated as an O.R. 
procedure for purposes of MS-DRG assignment (``non-O.R. procedures''). 
Second, for each procedure that is designated as an O.R. procedure, 
that O.R. procedure is further classified as either extensive or non-
extensive. Third, for each procedure that is designated as a non-O.R. 
procedure, that non-O.R. procedure is further classified as either 
affecting the MS-DRG assignment or not affecting the MS-DRG assignment. 
We refer to these designations that do affect MS-DRG assignment as 
``non-O.R. affecting the MS-DRG.'' For new procedure codes that have 
been finalized through the ICD-10 Coordination and Maintenance 
Committee code update process and are proposed to be classified as O.R. 
procedures or non-O.R. procedures affecting the MS-DRG, we recommend 
the MS-DRG assignment which is then made available in association with 
the proposed rule (Table 6B.--New Procedure Codes) and subject to 
public comment. These proposed assignments are generally based on the 
assignment of predecessor codes or the assignment of similar codes. For 
example, we generally examine the MS-DRG assignment for similar 
procedures, such as the other approaches for that procedure, to 
determine the most appropriate MS-DRG assignment for procedures 
proposed to be newly designated as O.R. procedures. As discussed in 
section II.C.15 of the preamble of this FY 2027 IPPS/LTCH PPS proposed 
rule, we are making Table 6B.--New Procedure Codes--FY 2027 available 
on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps.html. We also refer 
readers to the ICD-10 MS-DRG Version 43.1 Definitions Manual at: 
https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software.html for detailed 
information regarding the designation of procedures as O.R. or non-O.R. 
(affecting the MS-DRG) in Appendix E--Operating Room Procedures and 
Procedure Code/MS-DRG Index.
    In the FY 2020 IPPS/LTCH PPS proposed rule (84 FR 19230), we stated 
that, given the long period of time that has elapsed since the original 
O.R. (extensive and non-extensive) and non-O.R. designations were 
established, the incremental changes that have occurred to these O.R. 
and non-O.R. procedure code lists, and changes in the way inpatient 
care is delivered, we plan to conduct a comprehensive, systematic 
review of the ICD-10-PCS procedure codes. This will be a multiyear 
project during which we will also review the process for determining 
when a procedure is considered an operating room procedure. For 
example, we may restructure the current O.R. and non-O.R. designations 
for procedures by leveraging the detail that is now available in the 
ICD-10 claims data. We refer readers to the discussion regarding the 
designation of procedure codes in the FY 2018 IPPS/LTCH PPS final rule 
(82 FR 38066) where we stated that the determination of when a 
procedure code should be designated as an O.R. procedure has become a 
much more complex task. This is, in part, due to the number of various 
approaches available in the ICD-10-PCS classification, as well as 
changes in medical practice. While we have typically evaluated 
procedures on the basis of whether or not they would be performed in an 
operating room, we believe that there may be other factors to consider 
with regard to resource utilization, particularly with the 
implementation of ICD-10.
    We discussed in the FY 2020 IPPS/LTCH PPS proposed rule (84 FR 
19230) that, as a result of this planned review and potential 
restructuring, procedures that are currently designated as O.R. 
procedures may no longer warrant that designation, and conversely, 
procedures that are currently designated as non-O.R. procedures may 
warrant an O.R. designation. We intend to consider the resources used 
and how a procedure should affect the MS-DRG assignment. We may also 
consider the effect of certain surgical approaches to evaluate whether 
to subdivide a subset of MS-DRGs based on a specific surgical approach. 
We stated we plan to utilize our available MedPAR claims data as a 
basis for this review and the input of our clinical advisors. As part 
of this comprehensive review of the procedure codes, we also intend to 
evaluate the MS-DRG assignment of the procedures and the current 
surgical hierarchy because both of these factor into the process of 
refining the ICD-10 MS-DRGs to better recognize complexity of service 
and resource utilization.
    In the FY 2021 IPPS/LTCH PPS final rule (85 FR 58540 through 
58541), we provided a summary of the comments we had received in 
response to our request for feedback on what factors or criteria to 
consider in determining whether a procedure is designated as an O.R. 
procedure in the ICD-10-PCS classification system for future 
consideration. We also stated that in consideration of the PHE, we 
believed it

[[Page 19366]]

may be appropriate to allow additional time for the claims data to 
stabilize prior to selecting the timeframe to analyze for this review.
    For this FY 2027 IPPS/LTCH PPS proposed rule, we continue to 
believe additional time is necessary as we continue to develop our 
process and methodology. As discussed in the FY 2024 IPPS/LTCH PPS 
final rule (88 FR 58749), we have signaled in prior rulemaking that the 
designation of an O.R. procedure encompasses more than the physical 
location of the hospital room in which the procedure may be performed; 
in other words, the performance of a procedure in an operating room is 
not the sole determining factor we will consider as we examine the 
designation of a procedure in the ICD-10-PCS classification system. We 
are exploring alternatives on how we may restructure the current O.R. 
and non-O.R. designations for procedures by leveraging the detail that 
is available in the ICD-10 claims data. We are considering the feedback 
received on what factors and/or criteria to consider in determining 
whether a procedure is designated as an O.R. procedure in the ICD-10-
PCS classification system as we continue to develop our process and 
methodology and will provide more detail on this analysis and the 
methodology for conducting this comprehensive review in future 
rulemaking. We encourage the public to continue to submit feedback and 
comments on any other factors in consideration of our refinement 
efforts to recognize and differentiate consumption of resources under 
the ICD-10 MS-DRGs.
    For this FY 2027 IPPS/LTCH PPS proposed rule, we received requests 
regarding changing the designation of specific ICD-10-PCS procedure 
codes from non-O.R. to O.R. procedures. In this section of the preamble 
of this FY 2027 IPPS/LTCH PPS proposed rule, we detail and respond to 
those requests. In this section of the preamble of this proposed rule, 
we also discuss any proposals we are making based on our internal 
review and analysis and the process that was utilized for evaluating 
each procedure code. For each procedure, we consider--
     Whether the procedure would typically require the 
resources of an operating room;
     Whether it is an extensive or a non-extensive procedure; 
and
     To which MS-DRGs the procedure should be assigned.
    We note that many MS-DRGs require the presence of any O.R. 
procedure. As a result, cases with a principal diagnosis associated 
with a particular MS-DRG would, by default, be grouped to that MS-DRG. 
Therefore, we do not list these MS-DRGs in our discussion in this 
section of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule. 
Instead, we only discuss MS-DRGs that require explicitly adding the 
relevant procedure codes to the GROUPER logic in order for those 
procedure codes to affect the MS-DRG assignment as intended.
    For procedures that would not typically require the resources of an 
operating room, we determined if the procedure should affect the MS-DRG 
assignment. In cases where we are proposing to change the designation 
of procedure codes from non-O.R. procedures to O.R. procedures, we also 
are proposing one or more MS-DRGs with which these procedures are 
clinically aligned and to which the procedure code would be assigned.
    In addition, cases that contain O.R. procedures will map to MS-DRGs 
981, 982, or 983 (Extensive O.R. Procedure Unrelated to Principal 
Diagnosis with MCC, with CC, and without CC/MCC, respectively) or MS-
DRGs 987, 988, or 989 (Non-Extensive O.R. Procedure Unrelated to 
Principal Diagnosis with MCC, with CC, and without CC/MCC, 
respectively) when they do not contain a principal diagnosis that 
corresponds to one of the MDCs to which that procedure is assigned. 
These procedures need not be assigned to MS-DRGs 981 through 989 in 
order for this to occur. Therefore, we do not specifically address that 
aspect in summarizing the request and our response to that request or 
the proposals we make based on our internal review and analysis in this 
section of the preamble of this FY 2027 IPPS/LTCH PPS proposed rule.
b. Non-O.R. Procedures to O.R. Procedures
(1) Introduction of Allogeneic Pancreatic Islet Cellular Suspension
    For this FY 2027 IPPS/LTCH PPS proposed rule, we received a request 
to change the designation of ICD-10-PCS code XW033DA (Introduction of 
donislecel-jujn allogeneic pancreatic islet cellular suspension into 
peripheral vein, percutaneous approach, new technology group 10) from a 
non-O.R. procedure to a O.R. procedure.
    Donislecel-jujn (LantidraTM) is Food & Drug 
Administration (FDA) approved as an allogeneic pancreatic islet 
cellular therapy indicated for the treatment of adults with type 1 
diabetes (T1D) who are unable to approach target HbA1c because of 
current, repeated episodes of severe hypoglycemia despite intensive 
diabetes management and education. Donislecel-jujn 
(LantidraTM) consists of a suspension of allogeneic 
pancreatic islets of Langerhans derived from a donor pancreas in 
buffered transplant medium containing sodium chloride, dextrose, 
minerals, amino acids, vitamins, and other compounds supplemented with 
HEPES (2-[4-(2-hydroxyethyl) piperazin-1-yl] ethanesulfonic acid; 10 mM 
final concentration) and human serum albumin (0.5% final 
concentration).
    In the ICD-10 MS-DRGs Definitions Manual Version 43.1, procedure 
code XW033DA is currently designated as a non-O.R. procedure affecting 
assignment to MS-DRGs 673, 674, and 675 (Other Kidney and Urinary Tract 
Procedures with MCC, with CC, and without CC/MCC, respectively). We 
refer the reader to the ICD-10 MS-DRG Version 43.1 Definitions Manual 
(which is available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software for complete documentation of the 
GROUPER logic for the MS-DRGs 673, 674, and 675.
    According to the requestor, the clinical characteristics and costs 
of cases assigned to MS-DRGs 673 through 675 are significantly 
different from those associated with the administration of donislecel-
jujn (LantidraTM). The requestor states that the cost of 
donislecel-jujn (LantidraTM) is high due to complex and 
highly regulated manufacturing processes for biologic cell products. 
According to the requestor, code XW033DA should be assigned to Pre MDC 
MS-DRG 018 (Chimeric Antigen Receptor (CAR) T-Cell and Other 
Immunotherapies) because donislecel-jujn (LantidraTM) is 
similar to other CAR-T technologies that map to DRG 018 as a cellular 
product, and in regard to procedure complexity, high cost, and is 
indicated for a rare patient population.
    We reviewed this issue and note a proposal to create a procedure 
code that describes the administration of donislecel-jujn was presented 
and discussed at the March 19-20, 2024 ICD-10 Coordination and 
Maintenance Committee meeting and subsequently finalized. For new 
procedure codes that have been finalized through the ICD-10 
Coordination and Maintenance Committee code update process, we 
recommend the O.R. designation, which is generally based on the 
assignment of predecessor codes or the assignment of similar codes. 
Consistent with our annual process of assigning new procedure codes to 
MDCs and MS-

[[Page 19367]]

DRGs and designating a procedure as an O.R. or non-O.R. procedure, we 
reviewed the predecessor procedure code assignment. The predecessor 
code for procedure code XW033DA is procedure code 3E033U1 (Introduction 
of nonautologous pancreatic islet cells into peripheral vein, 
percutaneous approach) which is designated as a non-O.R. procedure 
affecting assignment to MS-DRGs 673, 674, and 675 (Other Kidney and 
Urinary Tract Procedures with MCC, with CC, and without CC/MCC, 
respectively).
    We analyzed claims data from the September 2025 update of the FY 
2025 MedPAR file for MS-DRGs 673, 674, and 675 for cases reporting 
procedure code XW033DA and did not find any cases. We then extended our 
analysis to all MS-DRGs and again did not find any cases. We note that 
these procedures do not typically require the resources of an operating 
room and are not surgical in nature. As such, we disagree with 
designating procedure code XW033DA, which describes the intravenous 
portal vein administration of donislecel-jujn, as an O.R. procedure.
    In reviewing this request, we note the underlying intent of this 
request is to change the MS-DRG assignment of procedure code XW033DA 
from MS-DRGs 673, 674, and 675 to MS-DRG 018. In regard to the 
reassignment of procedure code XW033DA to MS-DRG 018, we note that the 
category of cell and gene therapies continues to evolve. As discussed 
in prior rulemaking (90 FR 36554 through 36560), we are in the process 
of carefully considering the feedback we have previously received about 
ways in which we can continue to appropriately reflect resource 
utilization associated with cell and gene therapies while maintaining 
clinical coherence and stability in the relative weights under the IPPS 
MS-DRGs. We continue to examine these complex issues in consideration 
for future rulemaking. We acknowledge that there may be distinctions to 
account for as we continue to gain more experience in the use of these 
therapies and have additional claims data to analyze. We believe this 
topic, relating to the administration of donislecel-jujn 
(LantidraTM), an allogeneic (donor) pancreatic islet 
cellular therapy, is appropriately aligned with and should be 
considered as part of that broader effort.
    Therefore, for the reason discussed, we are proposing to maintain 
the current designation of procedure code XW033DA as ``non-O.R. 
affecting the MS-DRG'' for FY 2027. We refer the reader to the 
discussion in section II.C.6.b. of this FY 2027 IPPS/LTCH PPS proposed 
rule, regarding the proposed modifications for cases currently mapping 
to MS-DRGs 673, 674, and 675, effective October 1, 2026, for FY 2027.
(2) Percutaneous Introduction of AGN1 Bone Void Filler Into Bones
    One requestor identified ICD 10-PCS procedure code XW0V3WA 
(Introduction of AGN1 bone void filler into bones, percutaneous 
approach, new technology group 10) that the requestor stated is 
currently not recognized as an O.R. procedure for purposes of MS-DRG 
assignment. The requestor noted that the Local Osteo-Enhancement 
Procedure (LOEP) is an investigational surgical procedure designed to 
mechanically strengthen the proximal femur to reduce the risk of hip 
fractures in patients who are known to have weakened bones or other 
factors leading to a high risk of hip fracture. According to the 
requestor, the AGN1 LOEP Kit is expected to be indicated to reduce the 
risk of hip fracture in patients at risk of fragility fracture and 
require access to specialized equipment only available in the operating 
room (including anesthesia, C-arm, operating table, etc.). The 
requestor stated that FDA approval of the AGN1 LOEP Kit is anticipated 
in late 2027. According to the requestor, there may be situations where 
the procedure could be performed as a standalone procedure. The 
requestor noted the procedure may be performed under any one of the 
following three clinical scenarios (1) unilateral, standalone cases: a 
patient has one hip treated in a scheduled procedure, (2) bilateral, 
standalone cases: a patient has both hips treated in a scheduled 
procedure, or (3) concomitant to an index hip fragility fracture in the 
unfractured, contralateral hip: a patient has their index hip fracture 
repaired and then the procedure utilizing the LOEP kit is performed to 
treat the unfractured, contralateral hip during the same operative 
session. Therefore, the requestor stated that this procedure should be 
recognized as an O.R. procedure for purposes of MS-DRG assignment.
    We agree with the requestor that in the ICD-10 MS-DRGs Definitions 
Manual Version 43.1, procedure code XW0V3WA is designated as a non-O.R. 
procedure for purposes of MS-DRG assignment; therefore, when the 
introduction of AGN1 bone void filler is reported with a procedure code 
that describes a surgical procedure, the ICD-10-PCS code describing the 
surgical procedure will determine the surgical MS-DRG assignment based 
on the principal diagnosis reported.
    We reviewed this issue and note a proposal to create a procedure 
code that describes the percutaneous introduction of AGN1 bone void 
filler into bones was presented and discussed at the September 12-13, 
2023 ICD-10 Coordination and Maintenance Committee meeting and 
subsequently finalized. For new procedure codes that have been 
finalized through the ICD-10 Coordination and Maintenance Committee 
code update process, we recommend the O.R. designation, which is 
generally based on the assignment of predecessor codes or the 
assignment of similar codes. Consistent with our annual process of 
assigning new procedure codes to MDCs and MS-DRGs and designating a 
procedure as an O.R. or non-O.R. procedure, we reviewed the predecessor 
procedure code assignment. The predecessor code for procedure code 
XW0V3WA is procedure code 3E0V3GC (Introduction of other therapeutic 
substance into bones, percutaneous approach) which is designated as a 
non-O.R. procedure.
    To evaluate the frequency with which procedure code XW0V3WA is 
reported for different clinical scenarios, we examined claims data from 
the September 2025 update of the FY 2025 MedPAR file to determine the 
MS-DRGs reporting procedure code XW0V3WA. Our findings are shown in the 
following table.
[GRAPHIC] [TIFF OMITTED] TP14AP26.050


[[Page 19368]]


    There were four cases reporting the percutaneous introduction of 
AGN1 bone void filler into bones with procedure code XW0V3WA. Overall, 
the data indicate that the percutaneous introduction of AGN1 bone void 
filler into bones was not the underlying reason for, or main driver of, 
resource utilization for those cases. As shown in the table, when the 
procedure code XW0V3WA is reported, the MS-DRGs assigned are classified 
as surgical MS-DRGs which indicates that at least one procedure code 
designated as an O.R. procedure was also reported in these cases. We 
refer the reader to the ICD-10 MS-DRG Version 43.1 Definitions Manual 
(which is available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for complete documentation of the 
GROUPER logic for the listed MS-DRGs.
    After reviewing the claims data, we believe it is premature to 
consider a proposal to change the designation of the procedure code 
that describes the percutaneous introduction of AGN1 bone void filler 
into bones. While the September 2025 update of the FY 2025 MedPAR file 
does contain claims reporting the percutaneous introduction of AGN1 
bone void filler into bones, the number of cases is small across the 
MS-DRGs. Additionally, as stated previously, when the procedure code 
XW0V3WA is reported, the MS-DRGs assigned are classified as surgical 
MS-DRGs, which indicates that at least one procedure code designated as 
an O.R. procedure was also reported in these cases. We do not have 
claims data to further examine the impact of the percutaneous 
introduction of AGN1 bone void filler into bones when performed as a 
standalone procedure. The claims data also reflect a wide variance with 
regard to the average costs and average lengths of stay for the cases 
reporting the percutaneous introduction of AGN1 bone void filler into 
bones. As such, we disagree with designating the procedure code that 
describes the percutaneous introduction of AGN1 bone void filler into 
bones as an O.R. procedure for FY 2027.
    As noted previously, the Local Osteo-Enhancement Procedure (LOEP) 
is an investigational surgical procedure. In the absence of additional 
data, we believe that more time is needed to consider the clinical 
characteristics and resource utilization associated with this procedure 
before considering changing the designation of the procedure code to an 
O.R. procedure. In future years, we expect we will have additional data 
that could be used to evaluate the O.R. designation of procedure code 
XW0V3WA.
    Therefore, for the reasons discussed, we are proposing to maintain 
the designation of procedure code XW0V3WA as non-O.R. for FY 2027.
12. Proposed Changes to the MS-DRG Diagnosis Codes for FY 2027
a. Background of the CC List and the CC Exclusions List
    Under the IPPS MS-DRG classification system, we have developed a 
standard list of diagnoses that are considered CCs. Historically, we 
developed this list using physician panels that classified each 
diagnosis code based on whether the diagnosis, when present as a 
secondary condition, would be considered a substantial complication or 
comorbidity. A substantial complication or comorbidity was defined as a 
condition that, because of its presence with a specific principal 
diagnosis, would cause an increase in the length-of-stay by at least 1 
day in at least 75 percent of the patients. However, depending on the 
principal diagnosis of the patient, some diagnoses on the basic list of 
complications and comorbidities may be excluded if they are closely 
related to the principal diagnosis. In FY 2008, we evaluated each 
diagnosis code to determine its impact on resource use and to determine 
the most appropriate CC subclassification (NonCC, CC, or MCC) 
assignment. We refer readers to sections II.D.2. and 3. of the preamble 
of the FY 2008 IPPS final rule with comment period for a discussion of 
the refinement of CCs in relation to the MS DRGs we adopted for FY 2008 
(72 FR 47152 through 47171).
b. Overview of Comprehensive CC/MCC Analysis
    In the FY 2008 IPPS/LTCH PPS final rule (72 FR 47159), we described 
our process for establishing three different levels of CC severity into 
which we would subdivide the diagnosis codes. The categorization of 
diagnoses as an MCC, a CC, or a NonCC was accomplished using an 
iterative approach in which each diagnosis was evaluated to determine 
the extent to which its presence as a secondary diagnosis resulted in 
increased hospital resource use. We refer readers to the FY 2008 IPPS/
LTCH PPS final rule (72 FR 47159) for a complete discussion of our 
approach. Since the comprehensive analysis was completed for FY 2008, 
we have evaluated diagnosis codes individually when assigning severity 
levels to new codes and when receiving requests to change the severity 
level of specific diagnosis codes.
    We noted in the FY 2020 IPPS/LTCH PPS proposed rule (84 FR 19235 
through 19246) that with the transition to ICD-10-CM and the 
significant changes that have occurred to diagnosis codes since the FY 
2008 review, we believed it was necessary to conduct a comprehensive 
analysis once again. Based on this analysis, we proposed changes to the 
severity level designations for 1,492 ICD-10-CM diagnosis codes and 
invited public comments on those proposals. As summarized in the FY 
2020 IPPS/LTCH PPS final rule, many commenters expressed concern with 
the proposed severity level designation changes overall and recommended 
that CMS conduct further analysis prior to finalizing any proposals. 
After careful consideration of the public comments we received, as 
discussed further in the FY 2020 IPPS/LTCH PPS final rule, we generally 
did not finalize our proposed changes to the severity designations for 
the ICD-10-CM diagnosis codes, other than the changes to the severity 
level designations for the diagnosis codes in category Z16 (Resistance 
to antimicrobial drugs) from a NonCC to a CC. We stated that postponing 
adoption of the proposed comprehensive changes in the severity level 
designations would allow further opportunity to provide additional 
background to the public on the methodology utilized and clinical 
rationale applied across diagnostic categories to assist the public in 
its review. We refer readers to the FY 2020 IPPS/LTCH PPS final rule 
(84 FR 42150 through 42152) for a complete discussion of our response 
to public comments regarding the proposed severity level designation 
changes for FY 2020.
    As discussed in the FY 2021 IPPS/LTCH PPS proposed rule (85 FR 
32550), to provide the public with more information on the CC/MCC 
comprehensive analysis discussed in the FY 2020 IPPS/LTCH PPS proposed 
and final rules, CMS hosted a listening session on October 8, 2019. The 
listening session included a review of this methodology utilized to 
mathematically measure the impact on resource use. We refer readers to 
https://www.cms.gov/Outreach-and-Education/Outreach/OpenDoorForums/Downloads/10082019ListingSessionTrasncriptandQandAsandAudioFile.zip for 
the transcript and audio file of the listening session. We also refer 
readers to https://www.cms.gov/Medicare/MedicareFee-for-Service-
Payment/AcuteInpatientPPS/MS-DRG-

[[Page 19369]]

Classifications-and-Software.html for the supplementary file containing 
the mathematical data generated using claims from the FY 2018 MedPAR 
file describing the impact on resource use of specific ICD-10-CM 
diagnosis codes when reported as a secondary diagnosis that was made 
available for the listening session.
    In the FY 2021 IPPS/LTCH PPS final rule (85 FR 58550 through 
58554), we discussed our plan to continue a comprehensive CC/MCC 
analysis, using a combination of mathematical analysis of claims data 
as discussed in the FY 2020 IPPS/LTCH PPS proposed rule (84 FR 19235) 
and the application of nine guiding principles and plan to present the 
findings and proposals in future rulemaking. The nine guiding 
principles are as follows:
     Represents end of life/near death or has reached an 
advanced stage associated with systemic physiologic decompensation and 
debility.
     Denotes organ system instability or failure.
     Involves a chronic illness with susceptibility to 
exacerbations or abrupt decline.
     Serves as a marker for advanced disease states across 
multiple different comorbid conditions.
     Reflects systemic impact.
     Post-operative/post-procedure condition/complication 
impacting recovery.
     Typically requires higher level of care (that is, 
intensive monitoring, greater number of caregivers, additional testing, 
intensive care unit care, extended length of stay).
     Impedes patient cooperation or management of care or both.
     Recent (last 10 years) change in best practice, or in 
practice guidelines and review of the extent to which these changes 
have led to concomitant changes in expected resource use.
    We refer readers to the FY 2021 IPPS/LTCH PPS final rule for a 
complete summation of the comments we received for each of the nine 
guiding principles and our responses to those comments.
    In the FY 2022 IPPS/LTCH PPS proposed rule (86 FR 25175 through 
25180), as another interval step in our comprehensive review of the 
severity designations of ICD-10-CM diagnosis codes, we requested public 
comments on a potential change to the severity level designations for 
``unspecified'' ICD-10-CM diagnosis codes that we were considering 
adopting for FY 2022. Specifically, we noted we were considering 
changing the severity level designation of ``unspecified'' diagnosis 
codes to a NonCC where there are other codes available in that code 
subcategory that further specify the anatomic site. As summarized in 
the FY 2022 IPPS/LTCH PPS final rule, many commenters expressed concern 
with the potential severity level designation changes overall and 
recommended that CMS delay any possible change to the designation of 
these codes to give hospitals and their physicians time to prepare. 
After careful consideration of the public comments we received, we 
maintained the severity level designation of the ``unspecified'' 
diagnosis codes currently designated as a CC or MCC where there are 
other codes available in that code subcategory that further specify the 
anatomic site for FY 2022. We refer readers to the FY 2022 IPPS/LTCH 
PPS final rule (86 FR 44916 through 44926) for a complete discussion of 
our response to public comments regarding the potential severity level 
designation changes. Instead, for FY 2022, we finalized a new MCE code 
edit for ``unspecified'' codes, effective with discharges on and after 
April 1, 2022. We stated we believe finalizing this new edit would 
provide additional time for providers to be educated while not 
affecting the payment the provider is eligible to receive. We refer the 
reader to section II.D.14.e. of the preamble of the FY 2022 IPPS/LTCH 
PPS final rule (86 FR 44940 through 44943) for the complete discussion.
    As discussed in the FY 2023 IPPS/LTCH PPS final rule (87 FR 48866), 
we stated that as the new unspecified edit became effective beginning 
with discharges on and after April 1, 2022, we believed it was 
appropriate to not propose to change the designation of any ICD-10-CM 
diagnosis codes, including the unspecified codes that are subject to 
the ``Unspecified Code'' edit, as we continue our comprehensive CC/MCC 
analysis to allow interested parties the time needed to become 
acclimated to the new edit.
    In the FY 2023 IPPS/LTCH proposed rule (87 FR 28177 through 28181), 
we also requested public comments on how the reporting of diagnosis 
codes in categories Z55-Z65 might improve our ability to recognize 
severity of illness, complexity of illness, and/or utilization of 
resources under the MS-DRGs. We stated we were also interested in 
receiving feedback on how we might otherwise foster the documentation 
and reporting of the diagnosis codes describing social and economic 
circumstances to more accurately reflect each health care encounter and 
improve the reliability and validity of the coded data.
    In the FY 2024 IPPS/LTCH PPS final rule (88 FR 58755 through 
58759), based on our analysis of the impact on resource use for the 
ICD-10-CM Z codes that describe homelessness and after consideration of 
public comments, we finalized changes to the severity levels for 
diagnosis codes Z59.00 (Homelessness, unspecified), Z59.01 (Sheltered 
homelessness), and Z59.02 (Unsheltered homelessness), from NonCC to CC. 
In the FY 2025 proposed rule (89 FR 35995), we noted that since the FY 
2021 IPPS/LTCH PPS final rule we have continued to solicit feedback 
regarding the nine guiding principles, as well as other possible ways 
we can incorporate meaningful indicators of clinical severity. We 
stated we had encouraged the public to provide a detailed explanation 
of how applying a suggested concept or principle would ensure that the 
severity designation appropriately reflects resource use for any 
diagnosis code when providing feedback or comments. We also noted in 
the FY 2024 IPPS/LTCH PPS proposed rule (88 FR 26748 through 26750) we 
illustrated how the nine guiding principles might be applied in 
evaluating changes to the severity designations of diagnosis codes in 
our discussion of our proposed changes to the severity level 
designation for certain diagnosis codes that describe homelessness. 
After consideration of the ongoing feedback and comments we had 
received, we proposed to finalize the nine guiding principles. After 
consideration of the public comments received, and for the reasons 
discussed, we finalized the nine guiding principles as listed 
previously in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69076 through 
69078). Accordingly, we stated that our evaluations to determine the 
extent to which the presence of a diagnosis code as a secondary 
diagnosis results in increased hospital resource use will include a 
combination of mathematical analysis of claims data as discussed in the 
FY 2020 IPPS/LTCH PPS proposed rule (84 FR 19235) and the application 
of the nine guiding principles.
    Additionally, in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69079 
through 69084), based on our analysis of the impact on resource use for 
the ICD-10-CM diagnosis codes that describe inadequate housing and 
housing instability, and after consideration of public comments, we 
finalized changes to the severity levels for seven diagnosis codes for 
FY 2025. We refer the reader to the following section of this proposed 
rule for our proposed changes to the severity level designation for the

[[Page 19370]]

diagnosis codes that describe homelessness, inadequate housing and 
housing instability for FY 2027.
    We have updated the Impact on Resource Use Files on the CMS website 
so that the public can review the mathematical data for the impact on 
resource use generated using claims from the FY 2019 through the FY 
2025 MedPAR files. These files are posted on the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software.
    For new diagnosis codes approved for FY 2027, consistent with our 
annual process for designating a severity level (MCC, CC, or NonCC) for 
new diagnosis codes, we first review the predecessor code designation, 
followed by review and consideration of other factors that may be 
relevant to the severity level designation, including the severity of 
illness, treatment difficulty, complexity of service and the resources 
utilized in the diagnosis or treatment of the condition. We note that 
this process does not automatically result in the new diagnosis code 
having the same designation as the predecessor code. We refer the 
reader to section II.C.13 of the preamble of this FY 2027 IPPS/LTCH PPS 
proposed rule for the discussion of the proposed changes to the ICD-10-
CM and ICD-10-PCS coding systems for FY 2027.
c. Proposed Changes to Severity Levels
1. SDOH--Homelessness, Inadequate Housing, and Housing Instability
    As discussed earlier in this section, in the FY 2024 IPPS/LTCH PPS 
final rule (88 FR 58755 through 58759), we finalized changes to the 
severity levels for diagnosis codes Z59.00 (Homelessness, unspecified), 
Z59.01 (Sheltered homelessness), and Z59.02 (Unsheltered homelessness), 
from NonCC to CC. In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69079 
through 69084), we finalized changes to the severity levels for seven 
diagnosis codes that describe inadequate housing and housing 
instability from NonCC to CC. We stated CMS would further examine the 
claims data and consider future changes to the designation of the SDOH 
Z codes when reported as a secondary diagnosis. We further stated CMS 
would continue to monitor and evaluate the reporting of the diagnosis 
codes describing social and economic circumstances.
    In continuation of our examination of the SDOH Z codes, for this FY 
2027 IPPS/LTCH PPS proposed rule, we reviewed the mathematical data on 
the impact on resource use for the ICD-10-CM Z codes that describe 
homelessness, inadequate housing, and housing instability. The 
following table reflects the impact on resource use data generated 
using claims from the September 2025 update of the FY 2025 MedPAR file. 
We refer readers to the FY 2008 IPPS/LTCH PPS final rule (72 FR 47159) 
for a complete discussion of our historical approach to mathematically 
evaluate the extent to which the presence of an ICD-10-CM code as a 
secondary diagnosis resulted in increased hospital resource use, and a 
more detailed explanation of the columns in the table.
[GRAPHIC] [TIFF OMITTED] TP14AP26.051

    We reviewed the findings from these data. As reflected in the 
table, the C1 findings ranged from a low of 1.02 to a high of 2.03. A 
value close to 2.0 in the C1 field suggests that the condition is more 
like a CC than a non-CC but not as significant in resource usage as an 
MCC. Because the C1 values in the table are generally close to 2, the 
mathematical data suggest that when these SDOH Z codes are reported as 
a secondary diagnosis increased resources are involved in caring for 
patients experiencing these circumstances, however we note that these 
SDOH Z codes describe social circumstances and not medical conditions 
or illnesses.
    As previously noted, in the FY 2008 IPPS/LTCH PPS final rule (72 FR 
47159), we described our process for establishing three different 
levels of CC severity into which we would subdivide the diagnosis 
codes. The categorization

[[Page 19371]]

of diagnoses as an MCC, a CC, or a NonCC was accomplished using an 
iterative approach in which each diagnosis was evaluated to determine 
the extent to which its presence as a secondary diagnosis resulted in 
increased hospital resource use. We noted in the FY 2008 IPPS/LTCH PPS 
final rule that as a result of the changes that had occurred during the 
years since the implementation of the IPPS, the CC list as defined at 
the time had lost much of its capacity to discriminate hospital 
resource use. The need for a revised CC list prompted a reexamination 
of the secondary diagnoses that qualify as a CC. Therefore, our efforts 
to better recognize severity of illness began with a comprehensive 
review of the CC list. Our intent was to better distinguish cases that 
are likely to result in increased hospital resource use based on 
secondary diagnoses.
    We stated in the FY 2008 IPPS/LTCH PPS final rule (72 FR 47153) 
that certain diagnoses, such as chronic illness diagnoses, do not cause 
a significant increase in hospital resource use unless there is an 
acute exacerbation present or there is a significant deterioration in 
the underlying chronic condition. Therefore, in the revised CC list, we 
removed chronic diseases without a significant acute manifestation. We 
stated that recognition of the impact of the chronic disease is 
accomplished by separately coding the acute manifestation.
    In our further examination of the claims data and the current 
designation of the ICD-10-CM Z codes that describe homelessness, 
inadequate housing, and housing instability when reported as a 
secondary diagnosis, we now believe that similar to our analysis of the 
chronic illness diagnoses, change of designation from NonCC to CC 
should be based on the expected resource use associated with the 
treatment of an underlying medical condition or illness rather than 
social circumstances. Specifically, we believe that recognition of the 
contribution that patient social and economic circumstances, such as 
homelessness, inadequate housing, and housing instability, add to the 
complexity of acute hospital care should be accomplished by separately 
coding those diagnoses that describe an acute exacerbation or 
deterioration of an underlying medical condition or illness, similar to 
the approach we undertook in categorizing chronic illness diagnoses as 
stated in the FY 2008 IPPS/LTCH PPS final rule. While we continue to 
include a mathematical analysis of claims data in evaluating the extent 
to which the presence of a diagnosis code as a secondary diagnosis 
results in increased hospital resource use, as previously described, we 
believe that in the context of the ICD-10-CM Z codes that describe 
social circumstances, it is more appropriate to align our analysis with 
our intent as stated in the FY 2008 IPPS/LTCH PPS final rule with 
respect to chronic illness diagnoses (that is, recognition of the 
contribution to the complexity of hospital care would be accomplished 
by separately coding those diseases on the CC list that are associated 
with an acute exacerbation or deterioration of the underlying medical 
condition or illness (72 FR 47154)). Accordingly, we believe that 
categorization of a diagnosis code as an MCC, a CC, or a NonCC should 
recognize the clinical complexity and expected resource consumption for 
the treatment of an underlying medical condition or illness, and not 
social circumstances. Therefore, we are proposing to change the 
severity level designation of diagnosis codes Z59.00 (Homelessness, 
unspecified), Z59.01 (Sheltered homelessness), Z59.02 (Unsheltered 
homelessness), Z59.10 (Inadequate housing, unspecified), Z59.11 
(Inadequate housing environmental temperature), Z59.12 (Inadequate 
housing utilities), Z59.19 (Other inadequate housing), Z59.811 (Housing 
instability, housed, with risk of homelessness), Z59.812 (Housing 
instability, housed, homelessness in past 12 months) and Z59.819 
(Housing instability, housed unspecified) from CC to NonCC for FY 2027.
2. Newborn Affected by Malpresentation Before Labor
    For this FY 2027 IPPS/LTCH PPS proposed rule, we received a request 
to change the severity level designations of the ICD-10-CM diagnosis 
codes P01.7 (Newborn affected by malpresentation before labor) and 
P03.0 (Newborn affected by breech delivery and extraction) from NonCC 
to CC. The requestor did not provide additional rationale for this 
request.
    To evaluate this request, we analyzed the claims data in the 
September 2025 update of the FY 2025 MedPAR file. The following table 
shows the analysis for each of the diagnosis codes identified by the 
requestor.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.052

    As reflected in the table, we found zero instances where diagnosis 
codes P01.7 or P03.0 were reported as secondary diagnoses. In 
considering the nine guiding principles, as summarized previously, we 
note that fetal malpresentation is any position of the fetus at birth 
where the head is not the presenting part. Common types include breech 
(bottom/feet first), transverse (sideways), or oblique lie. While 
normal in early pregnancy, most babies turn; however, if still 
malpresenting at term, management often involves external cephalic 
version (ECV) to turn the baby or a planned C-section due to risks like 
cord prolapse during vaginal delivery. A higher level of care for the 
mother (that is, intensive monitoring, greater number of caregivers, 
additional testing, intensive care unit care, extended length

[[Page 19372]]

of stay) may be warranted depending on the treatment or management of 
the fetal malpresentation pursued by the attending provider.
    Based on the lack of claims data to evaluate to consider a severity 
level change, we believe that the ICD-10-CM diagnosis codes P01.7 and 
P03.0 should remain designated as NonCCs. Therefore, we are proposing 
to maintain the severity level designation of codes P01.7 and P03.0 as 
NonCCs for FY 2027. We will continue to monitor the claims data in 
consideration of any future modifications to the severity level 
designation of diagnosis codes P01.7 and P03.0.
3. Functional Quadriplegia
    For this FY 2027 IPPS/LTCH PPS proposed rule, we received a request 
to change the severity level designation of ICD-10-CM diagnosis code 
R53.2 (Functional quadriplegia) from MCC to NonCC. According to the 
requestor, code R53.2 describes patients who are unable to move any of 
their extremities, not because of a spinal cord or focal brain 
dysfunction, but because of global dysfunction such as severe dementia 
or contractures. The requestor further stated that the definition of 
functional quadriplegia does not exist in medical literature; 
therefore, the vagueness of the condition described by code R53.2 leads 
to the code being overused. The requestor also questioned whether an 
immobile patient during an inpatient stay utilizes more resources than 
other patients with very limited mobility.
    We agree that that diagnosis code R53.2 (Functional quadriplegia) 
is currently designated as an MCC. We refer the reader to Appendix H of 
the ICD-10 MS-DRG Version 43.1 Definitions Manual (available on the CMS 
website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for 
the complete list of diagnoses designated as MCCs when reported as 
secondary diagnoses, except when used in conjunction with the principal 
diagnosis in the corresponding CC Exclusion List in Appendix C.
    To evaluate this request, we analyzed the claims data in the 
September 2025 update of the FY 2025 MedPAR file. The following table 
shows the analysis for diagnosis code R53.2.
[GRAPHIC] [TIFF OMITTED] TP14AP26.053

BILLING CODE 4120-01-C
    We analyzed these data as described in FY 2008 IPPS final rule (72 
FR 47158 through 47161). The table shows that the C1 values of the 
diagnosis code that describes causally functional quadriplegia is 2.05. 
A C1 value close to 2.0 suggests the condition is more like a CC than a 
non-CC but not as significant in resource usage as an MCC. The C2 
finding of diagnosis code R53.2 is 2.58. C2 values close to 3.0 
suggests the condition is more similar to an MCC than a CC or non-CC. 
The C2 findings support maintaining the code R53.2 as an MCC. The data 
are clearly mixed between the C1 and C2 findings and does not 
consistently support a change in the severity level.
    In considering the nine guiding principles, as summarized 
previously, we note that functional quadriplegia is the inability to 
move due to another condition (e.g., dementia, severe contractures, 
arthritis, etc.). It is a diagnosis that can impede patient cooperation 
or management of care or both. Patients diagnosed with functional 
quadriplegia can require a higher level of care by needing intensive 
monitoring, and a greater number of caregivers as the patient does not 
have the ability to ambulate.
    After considering the C1, and C2 values of ICD-10-CM diagnosis code 
R53.2, the lack of consistent claims data to support a severity level 
change, and consideration of the nine guiding principles, we believe 
R53.2 should remain designated as an MCC. Therefore, we are proposing 
to maintain the severity level designation of ICD-10-CM diagnosis code 
R53.2 as an MCC for FY 2027.
4. Malnutrition
    For this FY 2027 IPPS/LTCH PPS proposed rule, we received a request 
to change the severity level designation of the following diagnosis 
codes from MCC to NonCC:

 E40 (Kwashiorkor)
 E41 (Nutritional marasmus)
 E42 (Marasmic kwashiorkor)
 E43 (Unspecified severe protein-calorie malnutrition)

    According to the requestor, the criteria for the ICD-10-CM 
diagnosis codes that describe malnutrition are vague. The requestor 
stated that nutritional assessment is the standard of care for all 
hospital admissions, and the short-term weight loss that often occurs 
in the hospital as a result of keeping patients with an empty stomach 
(i.e., nothing by mouth) for other interventions does not signal real 
malnutrition requiring intensive treatment. In circumstances when 
treatment is initiated, for example increasing the intake of calories 
or protein, the treatment adds little or no additional costs to overall 
resource utilization for the encounter.
    We agree that diagnosis codes E40, E41, E42, and E43 are currently 
designated as MCCs. We refer the reader to Appendix H of the ICD-10 MS-
DRG Version 43.1 Definitions Manual (available on the CMS website at: 
https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for the complete 
list of diagnoses designated as MCCs when reported as secondary 
diagnoses, except when used in conjunction with the principal diagnosis 
in the corresponding CC Exclusion List in Appendix C.
    To evaluate this request, we analyzed the claims data in the 
September 2025 update of the FY 2025 MedPAR file. The following table 
shows the analysis for

[[Page 19373]]

each of the diagnosis codes identified by the requestor.
[GRAPHIC] [TIFF OMITTED] TP14AP26.054

    We analyzed these data as described in FY 2008 IPPS final rule (72 
FR 47158 through 47161). The table above shows that the C1 findings 
ranged from a low of 0.73 to a high of 2.07. As stated earlier, a C1 
value close to 2.0 suggests the condition is more like a CC than a non-
CC but not as significant in resource usage as an MCC. The C1 findings 
suggest that these codes are more like a CC than an MCC. However, the 
C2 findings ranged from a low of 2.38 to a high of 3.21. Values close 
to 3.0 suggests the conditions are more similar to an MCC than a CC or 
non-CC. The C2 findings support maintaining the malnutrition codes 
identified by the requestor as MCCs. The data are clearly mixed between 
the C1 and C2 findings and does not consistently support a change in 
the severity level.
    In considering the nine guiding principles, as summarized 
previously, we note that the World Health Organization (WHO) defines 
malnutrition as ``deficiencies, excesses or imbalances in a person's 
intake of energy and/or nutrients.'' Protein-calorie malnutrition is 
observed most frequently in developing countries but has been described 
with increasing frequency in hospitalized and chronically ill children 
in the United States. The distinction between the two forms of protein-
calorie malnutrition is based on the presence of edema (kwashiorkor) or 
absence of edema (marasmus). Marasmus involves inadequate intake of 
protein and calories, whereas kwashiorkor involves fair-to-normal 
calorie intake with inadequate protein intake. In developed countries 
such as the United States, inadequate food intake is a less common 
cause of malnutrition. Instead, diseases and, in particular, chronic 
illnesses play an important role in the etiology of malnutrition. As 
such, the conditions described by the ICD-10-CM diagnosis codes 
identified by the requestor reflect systemic impact and serve as a 
marker for advanced disease states across multiple different comorbid 
conditions.
    After considering the C1, and C2 values of ICD-10-CM diagnosis 
codes E40, E41, E42, and E43, the lack of consistent claims data to 
support a severity level change, and consideration of the nine guiding 
principles, we believe E40, E41, E42, and E43 should remain designated 
as MCCs. Therefore, we are proposing to maintain the severity level 
designation of ICD-10-CM diagnosis codes E40, E41, E42, and E43 as MCCs 
for FY 2027.
5. Prolonged First Stage (of Labor)
    For this FY 2027 IPPS/LTCH PPS proposed rule, we received a request 
to change the severity level designation of ICD-10-CM diagnosis code 
O63.0 (Prolonged first stage (of labor)) from NonCC to CC. According to 
the requestor, prolonged labor increases length of stay by up to two 
days and significantly increases resources required to care for these 
patients. The requestor performed their own analysis of the Impact on 
Resource Use File on the CMS website generated using claims from the FY 
2024 MedPAR file and found that when reported as a secondary diagnosis, 
O63.0 had a C1 value higher than 2, and C2 and C3 values of at least 
close to 2, which suggests the code should be designated as a CC. 
Additionally, in their own analysis of the Impact on Resource Use File 
on the CMS website generated using claims from the FY 2024 MedPAR file, 
the requestor found that, in comparison, when reported as a secondary 
diagnosis, ICD-10-CM diagnosis code O63.9 (Long labor, unspecified), 
which is designated as a CC, had a C1 value of only 0.88. The requestor 
also performed an analysis of claims at their healthcare facility to 
identify cases where prolonged labor in either the latent phase or 
second phase likely occurred and found that the C1 value was 
approximately 1.35 for diagnosis code O63.0. The requestor did not 
state if the analysis of cases at their facility was limited to 
Medicare cases.
    We agree that that diagnosis code O63.0 (Prolonged first stage (of 
labor)) is currently designated as a NonCC and diagnosis code O63.9 
(Long labor, unspecified) is currently designated as a CC. We refer the 
reader to Appendix G of the ICD-10 MS-DRG Version 43.1 Definitions 
Manual (available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for the complete list of diagnoses 
designated as CCs when reported as secondary diagnoses, except when 
used in conjunction with the principal diagnosis in the corresponding 
CC Exclusion List in Appendix C.
    To evaluate this request, we analyzed the claims data in the 
September 2025 update of the FY 2025 MedPAR file. The following table 
shows the analysis for diagnosis codes O63.0 and O63.9.

[[Page 19374]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.055

    We analyzed these data as described in the FY 2008 IPPS final rule 
(72 FR 47158 through 47161). The table shows that the C1 value of the 
diagnosis code that describes prolonged first stage of labor is 2.14. 
As stated earlier, a C1 value close to 2.0 suggests the condition is 
more like a CC than a non-CC but not as significant in resource usage 
as an MCC. The C2 finding of diagnosis code O63.0 is 3.54. C2 values 
close to 3.0 suggests the condition is more similar to an MCC than a CC 
or non-CC. The C1 and C2 findings reflect increased resource 
utilization when prolonged labor is reported as a secondary diagnosis 
however the data are clearly mixed between the C1 and C2 findings, and 
there was a low volume of cases (17) reporting this code as a secondary 
diagnosis.
    The table also shows there were zero cases that reported diagnosis 
code O63.9 with no other secondary diagnosis or with all other 
secondary diagnoses that are non-CCs. The C2 finding of diagnosis code 
O63.9 is 1.54. C2 values close to 2.0 suggest the condition is more 
similar to a CC than a non-CC. The C2 findings support maintaining 
diagnosis code O63.9 as a CC. Similar to diagnosis code O63.0, there 
was a low volume of cases (6) reporting this code as a secondary 
diagnosis.
    In considering the nine guiding principles, as summarized 
previously, we note that the first stage of labor is defined as the 
interval between the onset of labor and complete or 10 cm cervical 
dilation. Prolonged first stage of labor refers to a slow initial 
dilation (0-6 cm), or a stalled active phase, lasting over 16-20 hours, 
whereas ``long labor'' describes the entire birth process exceeding 20-
25 hours. Long labor is monitored closely for risks like infection or 
fetal distress. While a prolonged first stage is rarely dangerous, a 
prolonged first stage of labor can sometimes require a higher level of 
care. Management of prolonged first stage of labor can sometimes 
involve amniotomy for patients undergoing augmentation or induction of 
labor to reduce the duration of labor, administration of oxytocin and/
or the use intrauterine pressure catheters to determine adequacy of 
uterine contractions. If labor fails to progress or fetal distress 
occurs, a cesarean section or instrumental delivery (forceps/vacuum) 
may be necessary.
    After considering the C1, and C2 values of ICD-10-CM diagnosis 
codes O63.0 and O63.9, the lack of sufficient claims data to support a 
severity level change, and consideration of the nine guiding 
principles, we believe diagnosis code O63.0 should remain designated as 
a NonCC and diagnosis code O63.9 should remain designated as a CC. 
Therefore, we are proposing to maintain the severity level designations 
of ICD-10-CM diagnosis codes O63.0 and O63.9 for FY 2027. We will 
continue to monitor the claims data in consideration of any future 
modifications to the severity level designation of diagnosis codes 
O63.0 and O63.9.
d. Proposed Additions and Deletions to the Diagnosis Code Severity 
Levels for FY 2027
    The following tables identify the proposed additions to the 
diagnosis code MCC severity level list and the proposed additions and 
deletions to the diagnosis code CC severity levels list for FY 2027 and 
are available on the CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html

Table 6I.1--Proposed Additions to the MCC List--FY 2027;
Table 6J.1-- Proposed Additions to the CC List--FY 2027; and
Table 6J.2-- Proposed Deletions to the CC List--FY 2027
e. Proposed CC Exclusions List for FY 2027
    In the September 1, 1987 final notice (52 FR 33143) concerning 
changes to the DRG classification system, we modified the GROUPER logic 
so that certain diagnoses included on the standard list of CCs would 
not be considered valid CCs in combination with a particular principal 
diagnosis. We created the CC Exclusions List for the following reasons: 
(1) to preclude coding of CCs for closely related conditions; (2) to 
preclude duplicative or inconsistent coding from being treated as CCs; 
and (3) to ensure that cases are appropriately classified between the 
complicated and uncomplicated DRGs in a pair.
    In the May 19, 1987 proposed notice (52 FR 18886) and the September 
1, 1987 final notice (52 FR 33154), we explained that the excluded 
secondary diagnoses were established using the following five 
principles:
     Chronic and acute manifestations of the same condition 
should not be considered CCs for one another;
     Specific and nonspecific (that is, not otherwise specified 
(NOS)) diagnosis codes for the same condition should not be considered 
CCs for one another;
     Codes for the same condition that cannot coexist, such as 
partial/total, unilateral/bilateral, obstructed/unobstructed, and 
benign/malignant, should not be considered CCs for one another;
     Codes for the same condition in anatomically proximal 
sites should not be considered CCs for one another; and
     Closely related conditions should not be considered CCs 
for one another.
    The creation of the CC Exclusions List was a major project 
involving hundreds of codes. We have continued to review the remaining 
CCs to identify additional exclusions and to remove diagnoses from the 
master list that have been shown not to meet the definition of a CC. We 
refer readers to the FY 2014 IPPS/LTCH PPS final rule (78 FR 50541 
through 50544) for detailed information regarding revisions that were 
made to the CC and CC Exclusion Lists under the ICD-9-CM MS-DRGs.
    The ICD-10 MS-DRGs Version 43.1 CC Exclusion List is included as 
Appendix C in the ICD-10 MS-DRG Definitions Manual (available on the 
CMS website at: https://www.cms.gov/medicare/payment/prospective-
payment-systems/acute-inpatient-pps/

[[Page 19375]]

ms-drg-classifications-and-software) and includes three lists 
identified as Part 1, Part 2 and Part 3. Part 1 is the list of all 
diagnosis codes that are defined as a CC or MCC when reported as a 
secondary diagnosis. For all diagnosis codes on the list, a link is 
provided to a collection of diagnosis codes which, when reported as the 
principal diagnosis, would cause the CC or MCC diagnosis to be 
considered as a NonCC. Part 2 is the list of diagnosis codes designated 
as an MCC only for patients discharged alive; otherwise, they are 
assigned as a NonCC. Part 3 is the list of diagnosis codes that are 
designated as a CC or MCC and included in the definition of the logic 
for the listed MS-DRGs. When reported as a secondary diagnosis and 
grouped to one of the listed MS-DRGs, the diagnosis is excluded from 
acting as a CC/MCC for severity in DRG assignment (that is, suppression 
logic).
    We are proposing changes to the ICD-10 MS-DRGs Version 44 CC 
Exclusion List based on the diagnosis code updates as discussed in 
section II.C.13. of the preamble of this FY 2027 IPPS/LTCH PPS proposed 
rule. Therefore, we have developed Table 6G.1.--Proposed Secondary 
Diagnosis Order Additions to the CC Exclusions List--FY 2027; Table 
6G.2.--Proposed Principal Diagnosis Order Additions to the CC 
Exclusions List--FY 2027; Table 6H.1.--Proposed Secondary Diagnosis 
Order Deletions to the CC Exclusions List--FY 2027; and Table 6H.2.--
Proposed Principal Diagnosis Order Deletions to the CC Exclusions 
List--FY 2027. For Table 6G.1, each secondary diagnosis code proposed 
for addition to the CC Exclusion List is shown with an asterisk and the 
principal diagnoses proposed to exclude the secondary diagnosis code 
are provided in the indented column immediately following it. For Table 
6G.2, each of the principal diagnosis codes for which there is a CC 
exclusion is shown with an asterisk and the conditions proposed for 
addition to the CC Exclusion List that will not count as a CC are 
provided in an indented column immediately following the affected 
principal diagnosis. For Table 6H.1, each secondary diagnosis code 
proposed for deletion from the CC Exclusion List is shown with an 
asterisk followed by the principal diagnosis codes that currently 
exclude it. For Table 6H.2, each of the principal diagnosis codes is 
shown with an asterisk and the proposed deletions to the CC Exclusions 
List are provided in an indented column immediately following the 
affected principal diagnosis. Tables 6G.1., 6G.2., 6H.1., and 6H.2. 
associated with this FY 2027 IPPS/LTCH PPS proposed rule are available 
on the CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html.
13. Proposed Changes to the ICD-10-CM and ICD-10-PCS Coding Systems
    To identify new, revised, and deleted diagnosis and procedure 
codes, for FY 2027, we have developed Table 6A.-New Diagnosis Codes, 
Table 6B.-New Procedure Codes, Table 6C.-Invalid Diagnosis Codes, Table 
6D.-Invalid Procedure Codes, and Table 6E.-Revised Diagnosis Code 
Titles for this FY 2027 IPPS/LTCH PPS proposed rule.
    These tables are not published in the Addendum to this FY 2027 
IPPS/LTCH PPS proposed rule, but are available on the CMS website at: 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html as described in section VI. of the 
Addendum to this FY 2027 IPPS/LTCH PPS proposed rule. As discussed in 
section II.C.11. of the preamble of this FY 2027 IPPS/LTCH PPS proposed 
rule, the code titles are adopted as part of the ICD-10 Coordination 
and Maintenance Committee meeting process. Therefore, although we 
publish the code titles in the IPPS proposed and final rules, they are 
not subject to comment in the proposed or final rules.
    We are proposing the MDC and MS-DRG assignments for the new 
diagnosis codes and procedure codes as set forth in Table 6A.-New 
Diagnosis Codes and Table 6B.-New Procedure Codes. In addition, the 
proposed severity level designations for the new diagnosis codes are 
set forth in Table 6A. and the proposed O.R. status for the new 
procedure codes are set forth in Table 6B. Consistent with our 
established process, we examined the MS-DRG assignment and the 
attributes (severity level and O.R. status) of the predecessor 
diagnosis or procedure code, as applicable, to inform our proposed 
assignments and designations.
    Specifically, we review the predecessor code and MS-DRG assignment 
most closely associated with the new diagnosis or procedure code, and 
in the absence of claims data, we consider other factors that may be 
relevant to the MS-DRG assignment, including the severity of illness, 
treatment difficulty, complexity of service and the resources utilized 
in the diagnosis and/or treatment of the condition. We note that this 
process does not automatically result in the new diagnosis or procedure 
code being proposed for assignment to the same MS-DRG or to have the 
same designation as the predecessor code.
    We are making available on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html 
the following tables associated with this FY 2027 IPPS/LTCH PPS 
proposed rule:
     Table 6A.--New Diagnosis Codes-FY 2027;
     Table 6B.--New Procedure Codes-FY 2027;
     Table 6C.--Invalid Diagnosis Codes-FY 2027;
     Table 6D.--Invalid Procedure Codes-FY 2027;
     Table 6E.--Revised Diagnosis Code Titles-FY 2027;
     Table 6G.1.--Proposed Secondary Diagnosis Order Additions 
to the CC Exclusions List-FY 2027;
     Table 6G.2.--Proposed Principal Diagnosis Order Additions 
to the CC Exclusions List-FY 2027;
     Table 6H.1.--Proposed Secondary Diagnosis Order Deletions 
to the CC Exclusions List-FY 2027;
     Table 6H.2.--Proposed Principal Diagnosis Order Deletions 
to the CC Exclusions List--FY 2027;
     Table 6I.1.--Proposed Additions to the MCC List-FY 2027;
     Table 6J.1.--Proposed Additions to the CC List-FY 2027; 
and
     Table 6J.2.--Proposed Deletions to the CC List-FY 2027.
14. Proposed Changes to the Surgical Hierarchies
    Some inpatient stays entail multiple surgical procedures, each one 
of which, occurring by itself, could result in assignment of the case 
to a different MS-DRG within the MDC to which the principal diagnosis 
is assigned. Therefore, it is necessary to have a decision rule within 
the GROUPER by which cases with multiple surgical procedures are 
assigned to a single MS-DRG. The surgical hierarchy, an ordering of 
surgical classes from most resource-intensive to least resource-
intensive, performs that function. Application of this hierarchy 
ensures that cases involving multiple surgical procedures are assigned 
to the MS-DRG associated with the most resource-intensive surgical 
class.
    A surgical class can be composed of one or more MS-DRGs. For 
example, in MDC 11, the surgical class ``kidney transplant'' consists 
of a single MS-DRG (MS-DRG 652) and the class ``major bladder 
procedures'' consists of three MS-DRGs (MS-DRGs 653, 654, and 655).
    Consequently, in many cases, the surgical hierarchy has an impact 
on more than one MS-DRG. The

[[Page 19376]]

methodology for determining the most resource-intensive surgical class 
involves weighting the average resources for each MS-DRG by frequency 
to determine the weighted average resources for each surgical class. 
For example, assume surgical class A includes MS-DRGs 001 and 002 and 
surgical class B includes MS-DRGs 003, 004, and 005. Assume also that 
the average costs of MS-DRG 001 are higher than that of MS-DRG 003, but 
the average costs of MS-DRGs 004 and 005 are higher than the average 
costs of MS-DRG 002. To determine whether surgical class A should be 
higher or lower than surgical class B in the surgical hierarchy, we 
would weigh the average costs of each MS-DRG in the class by frequency 
(that is, by the number of cases in the MS-DRG) to determine average 
resource consumption for the surgical class. The surgical classes would 
then be ordered from the class with the highest average resource 
utilization to that with the lowest, with the exception of ``other O.R. 
procedures'' as discussed in this FY 2027 IPPS/LTCH PPS proposed rule.
    This methodology may occasionally result in assignment of a case 
involving multiple procedures to the lower-weighted MS-DRG (in the 
highest, most resource-intensive surgical class) of the available 
alternatives. However, given that the logic underlying the surgical 
hierarchy provides that the GROUPER search for the procedure in the 
most resource-intensive surgical class, in cases involving multiple 
procedures, this result is sometimes unavoidable.
    We note that, notwithstanding the foregoing discussion, there are a 
few instances when a surgical class with a lower average cost is 
ordered above a surgical class with a higher average cost. For example, 
the ``other O.R. procedures'' surgical class is uniformly ordered last 
in the surgical hierarchy of each MDC in which it occurs, regardless of 
the fact that the average costs for the MS-DRG or MS-DRGs in that 
surgical class may be higher than those for other surgical classes in 
the MDC. The ``other O.R. procedures'' class is a group of procedures 
that are only infrequently related to the diagnoses in the MDC but are 
still occasionally performed on patients with cases assigned to the MDC 
with these diagnoses. Therefore, assignment to these surgical classes 
should only occur if no other surgical class more closely related to 
the diagnoses in the MDC is appropriate.
    A second example occurs when the difference between the average 
costs for two surgical classes is very small. We have found that small 
differences generally do not warrant reordering of the hierarchy 
because, as a result of reassigning cases on the basis of the hierarchy 
change, the average costs are likely to shift, such that the higher-
ordered surgical class has lower average costs than the class ordered 
below it.
    Based on the changes that we are proposing to make for FY 2027, as 
discussed in section II.C. of the preamble of this FY 2027 IPPS/LTCH 
PPS proposed rule, our proposal for Appendix D MS-DRG Surgical 
Hierarchy by MDC and MS-DRG of the proposed ICD-10 MS-DRG Definitions 
Manual Version 44 to modify the existing surgical hierarchy in the Pre-
MDC, MDC 05, MDC 08, MDC 10, MDC 11, MDC 12, and MDC 13 MS-DRGs for FY 
2027 is illustrated in the following tables. We note that because the 
current methodology involves weighing the average costs of each MS-DRG 
in the surgical class by frequency (that is, by the number of cases in 
the MS-DRG) to determine average resource consumption for the surgical 
class, that the surgical hierarchy of other MS-DRGs in the MDC may need 
to be adjusted based on the MS-DRG classification changes that are 
proposed to ensure that the average weighted cost for each base MS-DRG 
in each MDC are monotonically decreasing. We further note that the 
proposed Version 44 surgical hierarchy as illustrated in the following 
tables may be subject to further modifications based on the finalized 
changes to the MS-DRG classifications for FY 2027.
BILLING CODE 4120-01-P
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[GRAPHIC] [TIFF OMITTED] TP14AP26.061

    For issues pertaining to the surgical hierarchy, as with other MS-
DRG related requests, we encourage interested parties to submit 
comments no later than October 20, 2026, via MEARISTM at 
https://mearis.cms.gov/public/home, so that they can be considered for 
possible inclusion in the annual proposed rule.
15. Maintenance of the ICD-10-CM and ICD-10-PCS Coding Systems
    In September 1985, the ICD-9-CM Coordination and Maintenance 
Committee was formed. This is a Federal interdepartmental committee, 
co-chaired by the Centers for Disease Control and Prevention's (CDC) 
National Center for Health Statistics (NCHS) and CMS, charged with 
maintaining and updating the ICD-9-CM system. The final update to ICD-
9-CM codes was made on October 1, 2013. Thereafter, the name of the 
Committee was changed to the ICD-10 Coordination and Maintenance 
Committee, effective with the March 19-20, 2014 meeting. The ICD-10 
Coordination and Maintenance Committee addresses updates to the ICD-10-
CM and ICD-10-PCS coding systems. The Committee is jointly responsible 
for approving coding changes, and developing errata, addenda, and other 
modifications to the coding systems to reflect newly identified 
diseases and newly

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developed procedures and technologies. The Committee is also 
responsible for encouraging the use of Federal and non-Federal 
educational programs and employing other communication techniques with 
a view toward standardizing coding applications and upgrading the 
quality of the classification system.
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BILLING CODE 4120-01-C
    The official list of ICD-9-CM diagnosis and procedure codes by 
fiscal year can be found on the CMS website at: https://www.cms.gov/medicare/coding-billing/icd-10-codes/icd-9-cm-diagnosis-procedure-codes-abbreviated-and-full-code-titles.
    The official list of ICD-10-CM and ICD-10-PCS codes can be found on 
the CMS website at: http://www.cms.gov/Medicare/Coding/ICD10/index.html.
    The NCHS has lead responsibility for the ICD-10-CM and ICD-9-CM 
diagnosis codes included in the Tabular

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List and Alphabetic Index for Diseases, while CMS has lead 
responsibility for the ICD-10-PCS and ICD-9-CM procedure codes included 
in the Tabular List and Alphabetic Index for Procedures.
    The Committee encourages health-related organizations to 
participate in the previously mentioned process. In this regard, the 
Committee makes code request materials and proposed coding changes 
publicly available. These materials provide an opportunity for 
representatives of recognized organizations in the coding field, such 
as the American Health Information Management Association (AHIMA), the 
American Hospital Association (AHA), and various physician specialty 
groups, as well as individual physicians, health information management 
professionals, and other members of the public, to contribute ideas on 
coding matters. Members of the public may submit comments on the 
proposed procedure code topics to CMS at: 
[email protected] and may submit comments on the 
proposed diagnosis code topics to the CDC/NCHS at: [email protected]. After considering the public comments submitted, the 
Committee formulates recommendations, which then must be approved by 
CDC/NCHS and CMS.
    The Committee presented proposals for ICD-10-CM diagnosis code 
changes for implementation in FY 2027 at the virtual public meetings 
held on September 9-10, 2025 and finalized the coding changes after 
consideration of comments received during the meetings and in writing 
by November 14, 2025.
    In lieu of CMS holding its Fall 2025 meeting, the Committee 
solicited comments on the Fall 2025 ICD-10-PCS procedure code topics. 
The deadline to submit comments on the procedure code proposals 
considered for an April 1, 2026 implementation was October 10, 2025, 
and the deadline to submit comments on the procedure code proposals 
being considered for an October 1, 2026 implementation was November 14, 
2025.
    The Committee presented proposals for ICD-10-CM diagnosis code 
changes for implementation in FY 2027 and FY 2028 at the virtual public 
meetings held on March 17-18, 2026 and will finalize the coding changes 
after consideration of comments received during the meetings and in 
writing by May 15, 2026.
    In lieu of CMS holding its Spring 2026 meeting, the Committee 
solicited comments on the Spring 2026 ICD-10-PCS procedure code topics. 
The deadline for submitting public comments on these code proposals is 
April 17, 2026. The Committee will review the public comments submitted 
and identify whether there is a consensus of support for any new 
diagnosis and procedure codes. The Committee will also determine those 
new procedure codes for which complete tabular and indexing changes can 
be made by June 2026 and will include those in the October 1, 2026 
update to the ICD-10-CM diagnosis and ICD-10-PCS procedure code sets. 
As discussed in earlier sections of the preamble of this FY 2027 IPPS/
LTCH PPS proposed rule, there are new, revised, and deleted ICD-10-CM 
diagnosis codes and ICD-10-PCS procedure codes that are captured in 
Table 6A.--New Diagnosis Codes, Table 6B.--New Procedure Codes, Table 
6C.--Invalid Diagnosis Codes, Table 6D.--Invalid Procedure Codes, and 
Table 6E.--Revised Diagnosis Code Titles for this FY 2027 IPPS/LTCH PPS 
proposed rule, which are available on the CMS website at: https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps.
    The code titles are adopted as part of the ICD-10 Coordination and 
Maintenance Committee process. As previously noted, although we make 
the code titles available in association with the IPPS proposed rule, 
they are not subject to comment in the proposed rule. Because of the 
length of these tables, they are not published in the Addendum to the 
proposed rule. Rather, they are available on the CMS website as 
discussed in section VI. of the Addendum to the proposed rule.
    Recordings and materials for the virtual meeting discussions of the 
diagnosis codes at the Committee's September 9-10, 2025 meeting can be 
found at: https://www.cdc.gov/nchs/icd/icd-10-maintenance/meetings.html. Materials for the Fall 2025 ICD-10-PCS procedure code 
topics can be obtained from the CMS website at: https://www.cms.gov/Medicare/Coding/ICD10/C-and-M-Meeting-Materials. These websites also 
provide detailed information about the Committee, including information 
on requesting a new code, participating in a Committee meeting, 
timeline requirements, submitting comments, and meeting dates.
    We encourage commenters to submit questions and comments on coding 
issues involving diagnosis codes to CDC/NCHS via Email to: [email protected].
    Questions and comments concerning the procedure codes should be 
submitted to CMS via Email to: [email protected].
    CMS implemented 80 new procedure codes including codes to describe 
the insertion of cardiac devices, (i.e., leads) into the ventricular 
septum, codes to enable the differentiation between the endoscopic 
techniques utilized to drain hepatobiliary and pancreatic fluid 
collections, and codes to capture the utilization of adjunctive 
therapies such as microcurrent electrical neuromuscular stimulation 
(MENS) and frequency-specific microcurrent (FSM) into the ICD-10-PCS 
classification effective with discharges on and after April 1, 2026. 
The procedure codes are as follows:
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BILLING CODE 4120-01-C
    The 80 procedure codes are also reflected in Table 6B.- New 
Procedure Codes, which is available on the CMS website at: https://
www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/
AcuteInpatientPPS. As with the other new procedure codes and MS-DRG 
assignments included in Table 6B in association with this FY 2027 IPPS/
LTCH PPS proposed rule, we are inviting public comments on the most 
appropriate MDC, MS-DRG, and operating room status assignments for 
these codes for FY 2027, as well as any other options for the GROUPER 
logic.
    We note that Change Request (CR) 14337, Transmittal 13562, titled 
``April 2026 Update to the Medicare Severity-Diagnosis Related Group 
(MS-DRG) Grouper and Medicare Code Editor (MCE) Version V43.1'' was 
issued on December 23, 2025 (available on the CMS website at: https://www.cms.gov/medicare/regulations-guidance/transmittals/2025-transmittals/r13562cp) regarding the release of an updated version of 
the ICD-10 MS-DRG GROUPER and Medicare Code Editor software, Version 
V43.1, effective with discharges on and after April 1, 2026, reflecting 
the new procedure codes. The updated software, along with the updated 
ICD-10 MS-DRG Version 43.1 Definitions Manual and the Definitions of 
Medicare Code Edits Version 43.1 manual is available at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/MS-DRG-Classifications-and-Software.
    In the September 7, 2001 Medicare Program: Payments for New Medical 
Services and New Technologies Under the Acute Care Hospital Inpatient 
Prospective Payment System final rule implementing the IPPS new 
technology add-on payments (66 FR 46902), we indicated our intention to 
include proposals for procedure codes that would describe new 
technology discussed and approved at the Spring meeting as part of the 
code revisions effective the following October.
    Section 503(a) of the Medicare Modernization Act (Pub. L. 108-173) 
included a requirement for updating diagnosis and procedure codes twice 
a year instead of a single update on October 1 of each year. This 
requirement was included as part of the amendments to the Act relating 
to recognition of new technology under the IPPS. Section 503(a) of 
Public Law 108-173 amended section 1886(d)(5)(K) of the Act by adding a 
clause (vii) which states that the Secretary shall provide for the 
addition of new diagnosis and procedure codes on April 1 of each year, 
but the addition of such codes shall not require the Secretary to 
adjust the payment (or diagnosis-related group classification) until 
the fiscal year that begins after such date. This requirement improves 
the recognition of new technologies under the IPPS by providing 
information on these new technologies at an earlier date. Data will be 
available six months earlier than would be possible with updates 
occurring only once a year on October 1.
    In the FY 2005 IPPS final rule, we implemented section 
1886(d)(5)(K)(vii) of the Act, as added by section 503(a) of Public Law 
108-173, by developing a mechanism for approving, in time for the April 
update, diagnosis and procedure code revisions needed to describe new 
technologies and medical services for purposes of the new technology 
add-on payment process. We also established the following process for 
making these determinations. Topics considered during the Fall ICD-10 
(previously ICD-9-CM) Coordination and Maintenance Committee meeting 
were considered for an April 1 update if a strong and convincing case 
was made by the requestor during the Committee's public meeting. The 
request needed to identify the reason why a new code was needed in 
April for purposes of the new technology process. Meeting participants 
and those reviewing the Committee meeting materials were provided with 
the opportunity to comment on the expedited request. We refer the 
reader to the FY 2022 IPPS/LTCH PPS final rule (86 FR 44950) for 
further discussion of the implementation of this prior April 1 update 
for purposes of the new technology add-on payment process.
    As discussed in the FY 2022 IPPS/LTCH PPS final rule (86 FR 44950 
through 44956), we adopted an April 1 implementation date, in addition 
to the annual October 1 update, beginning with April 1, 2022. We noted 
that the intent of this April 1 implementation date was to allow 
flexibility in the ICD-10 code update process. CMS uses the same 
process for consideration of all requests for an April 1 implementation 
date, including for purposes of the new technology add-on payment 
process (that is, the prior process for consideration of an April 1 
implementation date only if a strong and convincing case was made by 
the requestor during the meeting no longer applies). We implement new 
codes through the April 1 code update, which includes displaying 
proposals for April 1 consideration in association with the Fall ICD-10 
Coordination and Maintenance Committee code update, requesting public 
comments, reviewing the public comments, finalizing codes, and 
announcing the new codes with their assignments consistent with the new 
GROUPER release information. We note that under our established 
process, requestors indicate whether they are submitting their code 
request for consideration for an April 1 implementation date or an 
October 1 implementation date. The ICD-10 Coordination and Maintenance 
Committee makes reasonable efforts to accommodate the requested 
implementation date for each request submitted. However, the Committee 
ultimately determines which requests are to be presented for 
consideration for an April 1 implementation date or an October 1 
implementation date. The ICD-10 Coordination and Maintenance Committee 
may not be able to consider all requests received for the next 
Committee code update and will determine if it would be appropriate to 
postpone consideration of any code requests to a future update. As 
discussed earlier in this section of the preamble of this FY 2027 IPPS/
LTCH PPS proposed rule, there were procedure code proposals considered 
for an April 1, 2026 implementation for the Fall 2025 procedure code 
update. Following the receipt of public comments, the code proposals 
were approved and finalized, therefore, new codes were implemented on 
April 1, 2026.
    Consistent with the process we outlined for the April 1 
implementation date, we announced the new codes in November 2025 and 
provided the updated code files in December 2025. The NCHS provided the 
ICD-10-CM

[[Page 19389]]

Official Guidelines for Coding and Reporting in January 2026. On 
February 03, 2026, we made available the updated Version 43.1 ICD-10 
MS-DRG GROUPER software and related materials on the CMS website at: 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/MS-DRG-Classifications-and-Software.
    ICD-9-CM addendum and code title information are published on the 
CMS website at https://www.cms.gov/Medicare/Coding/ICD9ProviderDiagnosticCodes/addendum. ICD-10-CM and ICD-10-PCS addendum 
and code title information are published on the CMS website at https://www.cms.gov/Medicare/Coding/ICD10. CMS also sends electronic files 
containing all ICD-10-CM and ICD-10-PCS coding changes to its Medicare 
contractors for use in updating their systems and furnishing education 
to providers. Information on ICD-10-CM diagnosis codes, along with the 
Official ICD-10-CM Coding Guidelines, can be found on the CDC website 
at https://www.cdc.gov/nchs/icd/icd-10-cm/files.html. Additionally, 
information on new, revised, and deleted ICD-10-CM diagnosis and ICD-
10-PCS procedure codes is provided to the AHA for publication in the 
Coding Clinic for ICD-10. The AHA also distributes coding update 
information to publishers and software vendors.
    For FY 2026, there are currently 74,719 diagnosis codes and 79,193 
procedure codes. As displayed in Table 6A.--New Diagnosis Codes and in 
Table 6B.--New Procedure Codes associated with this FY 2027 IPPS/LTCH 
PPS proposed rule (and available on the CMS website at https://
www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/
AcuteInpatientPPS), there are 184 new diagnosis codes and 81 new 
procedure codes that have been finalized for FY 2027 at the time of the 
development of this FY 2027 IPPS/LTCH PPS proposed rule and 80 new 
procedure codes that were effective with discharges on and after April 
1, 2026. As noted above, the code titles are adopted as part of the 
ICD-10 Coordination and Maintenance Committee process. Thus, although 
we publish the code titles in the IPPS proposed and final rules, they 
are not subject to comment in the proposed or final rules.
16. Replaced Devices Offered Without Cost or With a Credit
a. Background
    In the FY 2008 IPPS final rule with comment period (72 FR 47246 
through 47251), we discussed the topic of Medicare payment for devices 
that are replaced without cost or where credit for a replaced device is 
furnished to the hospital. We implemented a policy to reduce a 
hospital's IPPS payment for certain MS-DRGs where the implantation of a 
device that subsequently failed or was recalled determined the base MS-
DRG assignment. At that time, we specified that we will reduce a 
hospital's IPPS payment for those MS-DRGs where the hospital received a 
credit for a replaced device equal to 50 percent or more of the cost of 
the device.
    In the FY 2012 IPPS/LTCH PPS final rule (76 FR 51556 through 
51557), we clarified this policy to state that the policy applies if 
the hospital received a credit equal to 50 percent or more of the cost 
of the replacement device and issued instructions to hospitals 
accordingly.
b. Proposed Changes for FY 2027
    As discussed in section II.C.3. of the preamble of this FY 2027 
IPPS/LTCH PPS proposed rule, for FY 2027, under MDC 05, we are 
proposing to delete MS-DRGs 258 and 259 (Cardiac Pacemaker Device 
Replacement with and without MCC, respectively) and MS-DRGs 260, 261, 
and 262 (Cardiac Pacemaker Revision Except Device Replacement with MCC, 
with CC, and without CC/MCC, respectively) and create new MS-DRGs 210 
and 211 (Cardiac Pacemaker Revision or Device Replacement with and 
without MCC, respectively). The procedures currently assigned to MS-
DRGs 258, 259, 260, 261, and 262 are being proposed for assignment to 
proposed new MS-DRGs 210 and 211.
    Additionally, as discussed in section II.C.4. of the preamble of 
this FY 2027 IPPS/LTCH PPS proposed rule, for FY 2027, under MDC 08, we 
are proposing to delete MS-DRGs 466, 467, and 468 (Revision of Hip or 
Knee Replacement with MCC, with CC, and without CC/MCC, respectively) 
and create new MS-DRG 449 (Revision of Hip or Knee Replacement). The 
procedures currently assigned to MS-DRGs 466, 467, and 468 are being 
proposed for assignment to proposed new MS-DRG 449.
    As stated in the FY 2016 IPPS/LTCH PPS proposed rule (80 FR 24409), 
we generally map new MS-DRGs onto the list when they are formed from 
procedures previously assigned to MS-DRGs that are already on the list. 
Currently, MS-DRGs 258, 259, 260, 261, 262, 466, 467, and 468 are on 
the list of MS-DRGs subject to the policy for payment under the IPPS 
for replaced devices offered without cost or with a credit. Therefore, 
we are proposing that if the applicable proposed MS-DRG changes are 
finalized, we also would add proposed new MS-DRGs 210 and 211 and 
proposed new MS-DRG 449 to the list of MS-DRGs subject to the policy 
for payment under the IPPS for replaced devices offered without cost or 
with a credit as reflected in the following table. We also propose to 
continue to include the existing MS-DRGs currently subject to the 
policy as displayed in the following table.
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BILLING CODE 4120-01-C
    The final list of MS-DRGs subject to the IPPS policy for replaced 
devices offered without cost or with a credit will be included in the 
FY 2027 IPPS/LTCH PPS final rule and also will be issued to providers 
in the form of a Change Request (CR).

D. Recalibration of the FY 2027 MS-DRG Relative Weights

1. Data Sources for Developing the Relative Weights
    Consistent with our established policy, in developing the MS-DRG

[[Page 19391]]

relative weights for FY 2027, we are proposing to use two data sources: 
claims data and cost report data. The claims data source is the MedPAR 
file, which includes fully coded diagnostic and procedure data for all 
Medicare inpatient hospital bills. The FY 2025 MedPAR data used in this 
proposed rule includes discharges occurring on October 1, 2024, through 
September 30, 2025, based on bills received by CMS through December 31, 
2025, from all hospitals subject to the IPPS and short-term, acute care 
hospitals in Maryland (which at that time were under a waiver from the 
IPPS).
    The FY 2025 MedPAR file used in calculating the relative weights 
includes data for approximately 6,936,972 Medicare discharges from IPPS 
providers. Discharges for Medicare beneficiaries enrolled in a Medicare 
Advantage managed care plan are excluded from this analysis. These 
discharges are excluded when the MedPAR ``GHO Paid'' indicator field on 
the claim record is equal to ``1'' or when the MedPAR DRG payment 
field, which represents the total payment for the claim, is equal to 
the MedPAR ``Indirect Medical Education (IME)'' payment field, 
indicating that the claim was an ``IME only'' claim submitted by a 
teaching hospital on behalf of a beneficiary enrolled in a Medicare 
Advantage managed care plan. In addition, the December 2025 update of 
the FY 2025 MedPAR file complies with version 5010 of the X12 HIPAA 
Transaction and Code Set Standards, and includes a variable called 
``claim type.'' Claim type ``60'' indicates that the claim was an 
inpatient claim paid as fee-for-service. Claim types ``61,'' ``62,'' 
``63,'' and ``64'' relate to encounter claims, Medicare Advantage IME 
claims, and HMO no-pay claims. Therefore, the calculation of the 
relative weights for FY 2027 also excludes claims with claim type 
values not equal to ``60.'' The data exclude CAHs, including hospitals 
that subsequently became CAHs after the period from which the data were 
taken. In addition, the data exclude Rural Emergency Hospitals (REHs), 
including hospitals that subsequently became REHs after the period from 
which the data were taken. We note that the proposed FY 2027 relative 
weights are based on the ICD-10-CM diagnosis codes and ICD-10-PCS 
procedure codes from the FY 2025 MedPAR claims data, grouped through 
the ICD-10 version of the proposed FY 2027 GROUPER (Version 44).
    The second data source used in the cost-based relative weighting 
methodology is the Medicare cost report data files from the Healthcare 
Cost Report Information System (HCRIS). In general, we use the HCRIS 
dataset that is 3 years prior to the IPPS fiscal year. Specifically, 
for this proposed rule, we used the December 2025 update of the FY 2024 
HCRIS for calculating the FY 2027 cost-based relative weights. 
Consistent with our historical practice, for this FY 2027 proposed 
rule, we are providing the version of the HCRIS from which we 
calculated these 19 cost-to charge-ratios (CCRs) on the CMS website at 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/
AcuteInpatientPPS. Click on the link on the left side of the screen 
titled ``FY 2027 IPPS Proposed Rule Home Page'' or ``Acute Inpatient 
Files for Download.''
2. Methodology for Calculation of the Relative Weights
a. General
    We calculated the proposed FY 2027 relative weights based on 19 
CCRs. The methodology we are proposing to use to calculate the FY 2027 
MSDRG cost-based relative weights based on claims data in the FY 2025 
MedPAR file and data from the FY 2024 Medicare cost reports is as 
follows:
     To the extent possible, all the claims were regrouped 
using the proposed FY 2027 MS-DRG classifications discussed in sections 
II.B. and II.C. of the preamble of this proposed rule.
     The transplant cases that were used to establish the 
relative weights for heart and lung, liver and/or intestinal, and lung 
transplants (MS-DRGs 001, 002, 005, 006, and 007, respectively) were 
limited to those Medicare-approved transplant centers that have cases 
in the FY 2025 MedPAR file. (Medicare coverage for heart, heart-lung, 
liver and/or intestinal, and lung transplants is limited to those 
facilities that have received approval from CMS as transplant centers.)
     Organ acquisition costs for kidney, heart, heart-lung, 
liver, lung, pancreas, and intestinal (or multivisceral organs) 
transplants continue to be paid on a reasonable cost basis.
    Because these acquisition costs are paid separately from the 
prospective payment rate, it is necessary to subtract the acquisition 
charges from the total charges on each transplant bill that showed 
acquisition charges before computing the average cost for each MS-DRG 
and before eliminating statistical outliers.
    Section 108 of the Further Consolidated Appropriations Act, 2020 
provides that, for cost reporting periods beginning on or after October 
1, 2020, costs related to hematopoietic stem cell acquisition for the 
purpose of an allogeneic hematopoietic stem cell transplant shall be 
paid on a reasonable cost basis. We refer the reader to the FY 2021 
IPPS/LTCH PPS final rule for further discussion of the reasonable cost 
basis payment for cost reporting periods beginning on or after October 
1, 2020 (85 FR 58835 through 58842). For FY 2022 and subsequent years, 
we subtract the hematopoietic stem cell acquisition charges from the 
total charges on each transplant bill that showed hematopoietic stem 
cell acquisition charges before computing the average cost for each MS-
DRG and before eliminating statistical outliers.
     Claims with total charges or total lengths of stay less 
than or equal to zero were deleted. Claims that had an amount in the 
total charge field that differed by more than $30.00 from the sum of 
the routine day charges, intensive care charges, pharmacy charges, 
implantable devices charges, supplies and equipment charges, therapy 
services charges, operating room charges, cardiology charges, 
laboratory charges, radiology charges, other service charges, labor and 
delivery charges, inhalation therapy charges, emergency room charges, 
blood and blood products charges, anesthesia charges, cardiac 
catheterization charges, CT scan charges, and MRI charges were also 
deleted.
     At least 92.5 percent of the providers in the MedPAR file 
had charges for 14 of the 19 cost centers. All claims of providers that 
did not have charges greater than zero for at least 14 of the 19 cost 
centers were deleted. In other words, a provider must have no more than 
five blank cost centers. If a provider did not have charges greater 
than zero in more than five cost centers, the claims for the provider 
were deleted.
     Statistical outliers were eliminated by removing all cases 
that were beyond 3.0 standard deviations from the geometric mean of the 
log distribution of both the total charges per case and the total 
charges per day for each MS-DRG.
     Effective October 1, 2008, because hospital inpatient 
claims include a Present on Admission (POA) field for each diagnosis 
present on the claim, only for purposes of relative weight-setting, the 
POA indicator field was reset to ``Y'' for ``Yes'' for all claims that 
otherwise have an ``N'' (No) or a ``U'' (documentation insufficient to 
determine if the condition was present at the time of inpatient 
admission) in the POA field.
    Under current payment policy, the presence of specific HAC codes, 
as

[[Page 19392]]

indicated by the POA field values, can generate a lower payment for the 
claim. Specifically, if the particular condition is present on 
admission (that is, a ``Y'' indicator is associated with the diagnosis 
on the claim), it is not a HAC, and the hospital is paid for the higher 
severity (and, therefore, the higher weighted MS-DRG). If the 
particular condition is not present on admission (that is, an ``N'' 
indicator is associated with the diagnosis on the claim) and there are 
no other complicating conditions, the DRG GROUPER assigns the claim to 
a lower severity (and, therefore, the lower weighted MS-DRG) as a 
penalty for allowing a Medicare inpatient to contract a HAC. While the 
POA reporting meets policy goals of encouraging quality care and 
generates program savings, it presents an issue for the relative 
weight-setting process. Because cases identified as HACs are likely to 
be more complex than similar cases that are not identified as HACs, the 
charges associated with HAC cases are likely to be higher as well. 
Therefore, if the higher charges of these HAC claims are grouped into 
lower severity MS-DRGs prior to the relative weight-setting process, 
the relative weights of these particular MS-DRGs would become 
artificially inflated, potentially skewing the relative weights. In 
addition, we want to protect the integrity of the budget neutrality 
process by ensuring that, in estimating payments, no increase to the 
standardized amount occurs as a result of lower overall payments in a 
previous year that stem from using weights and case-mix that are based 
on lower severity MS-DRG assignments. If this would occur, the 
anticipated cost savings from the HAC policy would be lost.
    To avoid these problems, we reset the POA indicator field to ``Y'' 
only for relative weight-setting purposes for all claims that otherwise 
have an ``N'' or a ``U'' in the POA field. This resetting ``forced'' 
the more costly HAC claims into the higher severity MS-DRGs as 
appropriate, and the relative weights calculated for each MS-DRG more 
closely reflect the true costs of those cases.
    The charges for each of the 19 cost groups for each claim were 
standardized to remove the effects of differences in area wage levels, 
IME and DSH payments, and for hospitals located in Alaska and Hawaii, 
the proposed applicable cost-of-living adjustment. Because hospital 
charges include charges for both operating and capital costs, we 
standardized total charges to remove the effects of differences in 
geographic adjustment factors, proposed cost-of-living adjustments, and 
DSH payments under the capital IPPS as well. Charges were then summed 
by MS-DRG for each of the 19 cost groups so that each MS-DRG had 19 
standardized charge totals. Statistical outliers were then removed. 
These charges were then adjusted to cost by applying the proposed 
national average CCRs developed from the FY 2024 cost report data.
    The 19 cost centers that we used in the relative weight calculation 
are shown in a supplemental data file, Cost Center HCRIS Lines 
Supplemental Data File, posted via the internet on the CMS website for 
this proposed rule and available at https://www.cms.gov/Medicare/
Medicare-Fee-for-Service-Payment/AcuteInpatientPPS. The supplemental 
data file shows the lines on the cost report and the corresponding 
revenue codes that we used to create the 19 national cost center CCRs. 
If we receive comments about the groupings in this supplemental data 
file, we may consider these comments as we finalize our policy.
    Consistent with historical practice, we account for rare situations 
of non-monotonicity in a base MS-DRG and its severity levels, where the 
mean cost in the higher severity level is less than the mean cost in 
the lower severity level, in determining the relative weights for the 
different severity levels. If there are initially non-monotonic 
relative weights in the same base DRG and its severity levels, then we 
combine the cases that group to the specific non-monotonic MS-DRGs for 
purposes of relative weight calculations. For example, if there are two 
non-monotonic MS-DRGs, combining the cases across those two MS-DRGs 
results in the same relative weight for both MS-DRGs. The relative 
weight calculated using the combined cases for those severity levels is 
monotonic, effectively removing any non-monotonicity with the base DRG 
and its severity levels. For this FY 2027 proposed rule, this 
calculation was applied to address non-monotonicity for cases that 
grouped to the following: MS-DRG 217 and MS-DRG 218, MS-DRG 504 and MS-
DRG 505, and MS-DRG 582 and 584. In the supplemental file titled AOR/
BOR File, we include statistics for the affected MS-DRGs both 
separately and with cases combined.
    We are inviting public comments on our proposals related to 
recalibration of the proposed FY 2027 relative weights and the changes 
in relative weights from FY 2026.
b. Relative Weight Calculation for MS-DRG 018
    In the FY 2021 IPPS/LTCH PPS final rule (85 FR 58451 through 
58453), we created MS-DRG 018 for cases that include procedures 
describing CAR T-cell therapies. We also finalized our proposal to 
modify our existing relative weight methodology to ensure that the 
relative weight for MS-DRG 018 appropriately reflects the relative 
resources required for providing CAR T-cell therapy outside of a 
clinical trial, while still accounting for the clinical trial cases in 
the overall average cost for all MS-DRGs (85 FR 58599 through 58600). 
Specifically, we stated that clinical trial claims that group to new 
MS-DRG 018 would not be included when calculating the average cost for 
MS-DRG 018 that is used to calculate the relative weight for this MS-
DRG, so that the relative weight reflects the costs of the CAR T-cell 
therapy drug. We stated that we identified clinical trial claims as 
claims that contain ICD-10-CM diagnosis code Z00.6 or contain 
standardized drug charges of less than $373,000, which was the average 
sales price of KYMRIAH and YESCARTA, the two CAR T-cell biological 
products licensed to treat relapsed/refractory large B-cell lymphoma as 
of the time of the development of the FY 2021 final rule. In addition, 
we stated that (a) when the CAR T-cell therapy product is purchased in 
the usual manner, but the case involves a clinical trial of a different 
product, the claim will be included when calculating the average cost 
for new MS-DRG 018 to the extent such cases can be identified in the 
historical data, and (b) when there is expanded access use of 
immunotherapy, these cases will not be included when calculating the 
average cost for new MS-DRG 018 to the extent such cases can be 
identified in the historical data.
    We also finalized our proposal to calculate an adjustment to 
account for the CAR T-cell therapy cases identified as clinical trial 
cases in calculating the national average standardized cost per case 
that is used to calculate the relative weights for all MS-DRGs and for 
purposes of budget neutrality and outlier simulations. We calculate 
this adjustor by dividing the average cost for cases that we identify 
as clinical trial cases by the average cost for cases that we identify 
as non-clinical trial cases, with the additional refinements that (a) 
when the CAR T-cell therapy product is purchased in the usual manner, 
but the case involves a clinical trial of a different product, the 
claim will be included when calculating the average cost for cases not 
determined to be

[[Page 19393]]

clinical trial cases to the extent such cases can be identified in the 
historical data, and (b) when there is expanded access use of 
immunotherapy, these cases will be included when calculating the 
average cost for cases determined to be clinical trial cases to the 
extent such cases can be identified in the historical data. We stated 
that to the best of our knowledge, there were no claims in the 
historical data used in the calculation of this adjustment for cases 
involving a clinical trial of a different product, and to the extent 
the historical data contain claims for cases involving expanded access 
use of immunotherapy we believe those claims would have drug charges 
less than $373,000.
    In the FY 2021 IPPS/LTCH PPS final rule (85 FR 58842), we also 
finalized an adjustment to the payment amount for applicable clinical 
trial and expanded access use immunotherapy cases that group to MS-DRG 
018, and indicated that we would provide instructions for identifying 
these claims in separate guidance. Following the issuance of the FY 
2021 IPPS/LTCH PPS final rule, we issued guidance \16\ stating that 
providers may enter a Billing Note NTE02 ``Expand Acc Use'' on the 
electronic claim 837I or a remark ``Expand Acc Use'' on a paper claim 
to notify the MAC of expanded access use of CAR T-cell therapy. In this 
case, the MAC would add payer-only condition code ``ZB'' so that Pricer 
will apply the payment adjustment in calculating payment for the case. 
In cases when the CAR T-cell therapy product is purchased in the usual 
manner, but the case involves a clinical trial of a different product, 
the provider may enter a Billing Note NTE02 ``Diff Prod Clin Trial'' on 
the electronic claim 837I or a remark ``Diff Prod Clin Trial'' on a 
paper claim. In this case, the MAC would add payer-only condition code 
``ZC'' so that the Pricer will not apply the payment adjustment in 
calculating payment for the case.
---------------------------------------------------------------------------

    \16\ https://www.cms.gov/files/document/r10571cp.pdf.
---------------------------------------------------------------------------

    In the FY 2022 IPPS/LTCH PPS final rule, we revised MS-DRG 018 to 
include cases that report the procedure codes for CAR T-cell and non-
CAR T-cell therapies and other immunotherapies (86 FR 44798 through 
44806). We also finalized our proposal to continue to use the proxy of 
standardized drug charges of less than $373,000 (86 FR 44965) to 
identify clinical trial claims. We also finalized use of this same 
proxy for the FY 2023 IPPS/LTCH PPS final rule (87 FR 48894).
    Following the issuance of the FY 2023 IPPS/LTCH PPS final rule, we 
issued guidance \17\ stating where there is expanded access use of 
immunotherapy, the provider may submit condition code ``90'' on the 
claim so that Pricer will apply the payment adjustment in calculating 
payment for the case. We stated that MACs would no longer append 
Condition Code `ZB' to inpatient claims reporting Billing Note NTE02 
``Expand Acc Use'' on the electronic claim 837I or a remark ``Expand 
Acc Use'' on a paper claim, effective for claims for discharges that 
occur on or after October 1, 2022.
---------------------------------------------------------------------------

    \17\ https://www.cms.gov/files/document/r11727cp.pdf.
---------------------------------------------------------------------------

    In the FY 2024 IPPS/LTCH PPS final rule, we explained that the 
MedPAR claims data now includes a field that identifies whether or not 
the claim includes expanded access use of immunotherapy. We stated that 
for the FY 2022 MedPAR claims data, this field identifies whether or 
not the claim includes condition code ZB, and for the FY 2023 MedPAR 
data and subsequent years, this field will identify whether or not the 
claim includes condition code 90. We further noted that the MedPAR 
files now also include a variable that indicates whether the claim 
includes the payer-only condition code ``ZC'', which identifies a case 
involving the clinical trial of a different product where the CAR T-
cell, non-CAR T-cell, or other immunotherapy product is purchased in 
the usual manner.
    Accordingly, and as discussed further in the FY 2024 IPPS/LTCH PPS 
final rule, we finalized two modifications to our methodology for 
identifying clinical trial claims and expanded access use claims in MS-
DRG 018 (88 FR 58791). First, we finalized to exclude claims with the 
presence of condition code ``90'' (or, for FY 2024 ratesetting, which 
was based on the FY 2022 MedPAR data, the presence of condition code 
``ZB'') and claims that contain ICD-10-CM diagnosis code Z00.6 without 
payer-only code ``ZC'' that group to MS-DRG 018 when calculating the 
average cost for MS-DRG 018. Second, we finalized to no longer use the 
proxy of standardized drug charges of less than $373,000 to identify 
clinical trial claims and expanded access use cases when calculating 
the average cost for MS-DRG 018. Accordingly, we finalized that in 
calculating the relative weight for MS-DRG 018 for FY 2024, only those 
claims that group to MS-DRG 018 that (1) contain ICD-10-CM diagnosis 
code Z00.6 and do not include payer-only code ``ZC'' or (2) contain 
condition code ``ZB'' (or, for subsequent fiscal years, condition code 
``90'') would be excluded from the calculation of the average cost for 
MS-DRG 018. Consistent with this, we also finalized modifications to 
our calculation of the adjustment to account for the CAR T-cell therapy 
cases identified as clinical trial cases in calculating the national 
average standardized cost per case that is used to calculate the 
relative weights for all MS-DRGs. We refer readers to the FY 2024 IPPS/
LTCH PPS final rule for further discussion of these modifications (88 
FR 58791).
    Consistent with the FY 2026 IPPS/LTCH PPS final rule, in this 
proposed rule, for FY 2027 we are proposing to continue to use our 
methodology as modified in the FY 2024 IPPS/LTCH PPS final rule for 
identifying clinical trial claims and expanded access use claims in MS-
DRG 018, with an additional modification as discussed in this section. 
First, we exclude claims with the presence of condition code ``90'' and 
claims that contain ICD-10-CM diagnosis code Z00.6 without payer-only 
code ``ZC'' that group to MS-DRG 018 when calculating the average cost 
for MS-DRG 018. Second, we no longer use the proxy of standardized drug 
charges of less than $373,000 to identify clinical trial claims and 
expanded access use cases when calculating the average cost for MS-DRG 
018.
    In the FY 2026 IPPS/LTCH PPS final rule, we finalized our proposal 
to apply the payment adjustment for clinical trial and expanded access 
use immunotherapy cases to other cases where the immunotherapy product 
is not purchased in the usual manner, such as obtained at no cost. To 
mirror this change within our relative weight methodology, we finalized 
our proposal to also exclude claims with standardized drug charges 
below the median standardized drug charge of claims identified as 
clinical trials in MS-DRG 018 when we calculate the average cost for 
MS-DRG 018. We proposed to apply this policy for 2 years (that is, in 
our relative weight methodology for MS-DRG 018 for FYs 2026 and 2027), 
until the claims data reflects the addition of the condition code 
indicating that the immunotherapy product is not purchased in the usual 
manner, such as obtained at no cost, which then would be able to be 
used to identify these cases such that they can be identified for 
exclusion from the calculation of the average cost of MS-DRG 018. For 
this proposed rule, based on the December 2025 update of the FY 2025 
MedPAR file, we estimated that the median standardized drug charge of 
claims identified as clinical trials in MS-DRG 018 is $25,323. For the

[[Page 19394]]

purpose of performing this trim, we propose to update the median 
standardized drug charge of claims identified as clinical trials in MS-
DRG 018 based on more recent data for the final rule.
    Accordingly, we are proposing that in calculating the relative 
weight for MS-DRG 018 for FY 2027, in identifying clinical trial claims 
and expanded access use claims and other cases where the immunotherapy 
product is not purchased in the usual manner, such as obtained at no 
cost, only those claims that group to MS-DRG 018 that (1) contain ICD-
10-CM diagnosis code Z00.6 and do not include payer-only code ``ZC'', 
(2) contain condition code ``90'', or (3) contain standardized drug 
charges below the median standardized drug charge of clinical trial 
cases in MS-DRG 018 would be excluded from the calculation of the 
average cost for MS-DRG 018.
    We are also proposing to continue to use the methodology as 
modified in the FY 2024 IPPS/LTCH PPS final rule to calculate the 
adjustment to account for the CAR T-cell therapy cases identified as 
clinical trial cases in calculating the national average standardized 
cost per case that is used to calculate the relative weights for all 
MS-DRGs, with the same proposed modification as described previously to 
identify other cases where the immunotherapy product is not purchased 
in the usual manner, such as obtained at no cost:
     Calculate the average cost for cases assigned to MS-DRG 
018 that (a) contain ICD-10-CM diagnosis code Z00.6 and do not contain 
condition code ``ZC'', (b) contain condition code ``90'', or (c) 
contain standardized drug charges below the median standardized drug 
charge of clinical trial cases in MS-DRG 018.
     Calculate the average cost for all other cases assigned to 
MS-DRG 018.
     Calculate an adjustor by dividing the average cost 
calculated in step 1 by the average cost calculated in step 2.
     Apply the adjustor calculated in step 3 to the cases 
identified in step 1 as applicable clinical trial or expanded access 
use cases, and other cases where the immunotherapy product is not 
purchased in the usual manner, such as obtained at no cost, then add 
this adjusted case count to the non-clinical trial case count prior to 
calculating the average cost across all MS-DRGs.
    Under our proposal to continue to apply this methodology, with the 
proposed modification as described, based on the December 2025 update 
of the FY 2025 MedPAR file used for this proposed rule, we estimate 
that the average costs of cases assigned to MS-DRG 018 that are 
identified as clinical trial cases ($71,039) were 17 percent of the 
average costs of the cases assigned to MS-DRG 018 that are identified 
as non-clinical trial cases ($412,218). Accordingly, as we did for FY 
2026, we are proposing to adjust the transfer-adjusted case count for 
MS-DRG 018 by applying the proposed adjustor of 0.17 to the applicable 
clinical trial and expanded access use immunotherapy cases, and other 
cases where the immunotherapy product is not purchased in the usual 
manner, such as obtained at no cost, and to use this adjusted case 
count for MS-DRG 018 in calculating the national average cost per case, 
which is used in the calculation of the relative weights. Therefore, in 
calculating the national average cost per case for purposes of this 
proposed rule, each case identified as an applicable clinical trial or 
expanded access use immunotherapy case, and other cases where the 
immunotherapy product is not purchased in the usual manner, such as 
obtained at no cost, was adjusted by 0.17. As we did for FY 2026, we 
are applying the same adjustor for the applicable cases that group to 
MS-DRG 018 for purposes of budget neutrality and outlier simulations. 
We are also proposing to update the value of the adjustor based on more 
recent data for the final rule.
c. Cap for Relative Weight Reductions
    In the FY 2023 IPPS/LTCH PPS final rule, we finalized a permanent 
10-percent cap on the reduction in an MS-DRG's relative weight in a 
given fiscal year, beginning in FY 2023. We also finalized a budget 
neutrality adjustment to the standardized amount for all hospitals to 
ensure that application of the permanent 10-percent cap does not result 
in an increase or decrease of estimated aggregate payments. We refer 
the reader to the FY 2023 IPPS/LTCH PPS final rule for further 
discussion of this policy. In the Addendum to this IPPS/LTCH PPS 
proposed rule, we present the proposed budget neutrality adjustment for 
reclassification and recalibration of the FY 2027 MS-DRG relative 
weights with application of this cap. We are also making available on 
the CMS website a supplemental file demonstrating the application of 
the permanent 10 percent cap for FY 2027. For a further discussion of 
the final budget neutrality adjustment for FY 2027, we refer readers to 
the Addendum of this proposed rule.
3. Development of National Average Cost-to-Charge Ratios (CCRs)
    We developed the proposed national average CCRs as follows:
    Using the FY 2024 cost report data, we removed CAHs, REHs, Indian 
Health Service hospitals, all inclusive rate hospitals, and cost 
reports that represented time periods of less than 1 year (365 days). 
We included hospitals located in Maryland because we include their 
charges in our claims database. Then we created CCRs for each provider 
for each cost center (see the supplemental data file for line items 
used in the calculations) and removed any CCRs that were greater than 
10 or less than 0.01. We normalized the departmental CCRs by dividing 
the CCR for each department by the total CCR for the hospital for the 
purpose of trimming the data. Then we took the logs of the normalized 
cost center CCRs and removed any cost center CCRs where the log of the 
cost center CCR was greater or less than the mean log plus/minus 3 
times the standard deviation for the log of that cost center CCR. Once 
the cost report data were trimmed, we calculated a Medicare-specific 
CCR. The Medicare-specific CCR was determined by taking the Medicare 
charges for each line item from Worksheet D-3 and deriving the 
Medicare-specific costs by applying the hospital-specific departmental 
CCRs to the Medicare- specific charges for each line item from 
Worksheet D-3. Once each hospital's Medicare-specific costs were 
established, we summed the total Medicare-specific costs and divided by 
the sum of the total Medicare-specific charges to produce national 
average, charge-weighted CCRs.
    After we multiplied the total charges for each MS-DRG in each of 
the 19 cost centers by the corresponding national average CCR, we 
summed the 19 ``costs'' across each MS-DRG to produce a total 
standardized cost for the MS-DRG. The average standardized cost for 
each MS-DRG was then computed as the total standardized cost for the 
MS-DRG divided by the transfer-adjusted case count for the MS-DRG. The 
average cost for each MS-DRG was then divided by the national average 
standardized cost per case to determine the relative weight. The 
proposed FY 2027 cost-based relative weights were then normalized by an 
adjustment factor of 1.944557 so that the average case weight after 
recalibration was equal to the average case weight before 
recalibration. The normalization adjustment is intended to ensure that 
recalibration by itself neither increases nor decreases total payments 
under the IPPS, as required by section 1886(d)(4)(C)(iii) of the Act. 
We then applied the permanent 10-percent cap on the reduction in a MS-
DRG's relative weight in a given

[[Page 19395]]

fiscal year; specifically for those MS-DRGs for which the relative 
weight otherwise would have declined by more than 10 percent from the 
FY 2026 relative weight, we set the proposed FY 2027 relative weight 
equal to 90 percent of the FY 2026 relative weight. The proposed 
relative weights for FY 2027 as set forth in Table 5 associated with 
this proposed rule and available on the CMS website at https://
www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS 
reflect the application of this cap.
    The 19 proposed national average CCRs for FY 2027 are as follows:
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.071

    Since FY 2009, the relative weights have been based on 100 percent 
cost weights based on our MS-DRG grouping system.
    When we recalibrated the DRG weights for previous years, we set a 
threshold of 10 cases as the minimum number of cases required to 
compute a reasonable weight. We are proposing to use that same case 
threshold in recalibrating the proposed MS-DRG relative weights for FY 
2027. Using data from the FY 2025 MedPAR file, there are 8 MSDRGs that 
contain fewer than 10 cases. For FY 2027, because we do not have 
sufficient MedPAR data to set accurate and stable cost relative weights 
for these low-volume MS-DRGs, we are proposing to compute relative 
weights for the low volume MS-DRGs by adjusting their final FY 2026 
relative weights by the percentage change in the average weight of the 
cases in other MS-DRGs from FY 2026 to FY 2027. The crosswalk table is 
as follows.
[GRAPHIC] [TIFF OMITTED] TP14AP26.072


[[Page 19396]]


BILLING CODE 4120-01-C

E. Add-On Payments for New Services and Technologies for FY 2027

1. Background
    Effective for discharges beginning on or after October 1, 2001, 
section 1886(d)(5)(K)(i) of the Act requires the Secretary to establish 
a mechanism to recognize the costs of new medical services and 
technologies (sometimes collectively referred to in this section as 
``new technologies'') under the IPPS. Section 1886(d)(5)(K)(vi) of the 
Act specifies that a medical service or technology will be considered 
new if it meets criteria established by the Secretary after notice and 
opportunity for public comment. Section 1886(d)(5)(K)(ii)(I) of the Act 
specifies that a new medical service or technology may be considered 
for new technology add-on payment if, based on the estimated costs 
incurred with respect to discharges involving such service or 
technology, the DRG prospective payment rate otherwise applicable to 
such discharges under this subsection is inadequate. The regulations at 
42 CFR 412.87 implement these provisions and Sec.  412.87(b) specifies 
three criteria for a new medical service or technology to receive the 
additional payment: (1) the medical service or technology must be new; 
(2) the medical service or technology must be costly such that the DRG 
rate otherwise applicable to discharges involving the medical service 
or technology is determined to be inadequate; and (3) the service or 
technology must demonstrate a substantial clinical improvement over 
existing services or technologies. In addition, certain transformative 
new devices and antimicrobial products may qualify under an alternative 
inpatient new technology add-on payment pathway, as set forth in the 
regulations at Sec.  412.87(c) and (d).
    We note that section 1886(d)(5)(K)(i) of the Act requires the 
Secretary to establish a mechanism to recognize the costs of new 
medical services and technologies under the payment system established 
under that subsection, which establishes the system for paying for the 
operating costs of inpatient hospital services. The system of payment 
for capital costs is established under section 1886(g) of the Act. 
Therefore, as discussed in prior rulemaking (72 FR 47307 through 
47308), we do not include capital costs in the add-on payments for a 
new medical service or technology or make new technology add-on 
payments under the IPPS for capital-related costs.
    In this proposed rule, we highlight some of the major statutory and 
regulatory provisions relevant to the new technology add-on payment 
criteria, as well as other information. For further discussion on the 
new technology add-on payment criteria, we refer readers to the FY 2012 
IPPS/LTCH PPS final rule (76 FR 51572 through 51574), the FY 2020 IPPS/
LTCH PPS final rule (84 FR 42288 through 42300), and the FY 2021 IPPS/
LTCH PPS final rule (85 FR 58736 through 58742).
a. New Technology Add-on Payment Criteria
(1) Newness Criterion
    Under the first criterion, as reflected in Sec.  412.87(b)(2), a 
specific medical service or technology will no longer be considered 
``new'' for purposes of new medical service or technology add-on 
payments after CMS has recalibrated the MS-DRGs, based on available 
data, to reflect the cost of the technology. We note that we do not 
consider a service or technology to be new if it is substantially 
similar to one or more existing technologies. That is, even if a 
medical product receives a new FDA marketing authorization, it may not 
necessarily be considered ``new'' for purposes of new technology add-on 
payments if it is ``substantially similar'' to another medical product 
that was market authorized by FDA and has been on the market for more 
than 2 to 3 years. In the FY 2010 IPPS/RY 2010 LTCH PPS final rule (74 
FR 43813 through 43814), we established criteria for evaluating whether 
a new technology is substantially similar to an existing technology, 
specifically whether: (1) a product uses the same or a similar 
mechanism of action to achieve a therapeutic outcome; (2) a product is 
assigned to the same or a different MS-DRG; and (3) the new use of the 
technology involves the treatment of the same or similar type of 
disease and the same or similar patient population. If a technology 
meets all three of these criteria, it would be considered substantially 
similar to an existing technology and would not be considered ``new'' 
for purposes of new technology add-on payments. For a detailed 
discussion of the criteria for substantial similarity, we refer readers 
to the FY 2006 IPPS final rule (70 FR 47351 through 47352) and the FY 
2010 IPPS/LTCH PPS final rule (74 FR 43813 through 43814).
(2) Cost Criterion
    Under the second criterion, Sec.  412.87(b)(3) further provides 
that, to be eligible for the add-on payment for new medical services or 
technologies, the MS-DRG prospective payment rate otherwise applicable 
to discharges involving the new medical service or technology must be 
assessed for adequacy. Under the cost criterion, consistent with the 
formula specified in section 1886(d)(5)(K)(ii)(I) of the Act, to assess 
the adequacy of payment for a new technology paid under the applicable 
MS-DRG prospective payment rate, we evaluate whether the charges of the 
cases involving a new medical service or technology will exceed a 
threshold amount that is the lesser of 75 percent of the standardized 
amount (increased to reflect the difference between cost and charges) 
or 75 percent of one standard deviation beyond the geometric mean 
standardized charge for all cases in the MS-DRG to which the new 
medical service or technology is assigned (or the case-weighted average 
of all relevant MS-DRGs if the new medical service or technology occurs 
in many different MS-DRGs). The MS-DRG threshold amounts generally used 
in evaluating new technology add-on payment applications for FY 2027 
are presented in a data file that is available, along with the other 
data files associated with the FY 2026 IPPS/LTCH PPS final rule on the 
CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.
    We note that, under the policy finalized in the FY 2021 IPPS/LTCH 
PPS final rule (85 FR 58603 through 58605), beginning with FY 2022, we 
use the proposed threshold values associated with the proposed rule for 
that fiscal year to evaluate the cost criterion for all applications 
for new technology add-on payments and previously approved technologies 
that may continue to receive new technology add-on payments, if those 
technologies would be assigned to a proposed new MS-DRG for that same 
fiscal year.
    As finalized in the FY 2019 IPPS/LTCH PPS final rule (83 FR 41275), 
beginning with FY 2020, we include the thresholds applicable to the 
next fiscal year (previously included in Table 10 of the annual IPPS/
LTCH PPS proposed and final rules) in the data files associated with 
the prior fiscal year. Accordingly, the proposed thresholds for 
applications for new technology add-on payments for FY 2028 are 
presented in a data file that is available on the CMS website, along 
with the other data files associated with this FY 2027 proposed rule, 
by clicking on the FY 2027 IPPS Proposed Rule Home Page at: https://
www.cms.gov/Medicare/

[[Page 19397]]

Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.
    In the September 7, 2001, final rule that established the new 
technology add-on payment regulations (66 FR 46917), we discussed that 
applicants should submit a significant sample of data to demonstrate 
that the medical service or technology meets the high-cost threshold. 
Specifically, applicants should submit a sample of sufficient size to 
enable us to undertake an initial validation and analysis of the data. 
We also discussed in the September 7, 2001, final rule (66 FR 46917) 
the issue of whether the Health Insurance Portability and 
Accountability Act of 1996 (HIPAA) Privacy Rule at 45 CFR part 160 and 
subparts A and E of 45 CFR part 164, applies to claims information that 
providers submit with applications for new medical service or 
technology add-on payments. We refer readers to the FY 2012 IPPS/LTCH 
PPS final rule (76 FR 51573) for further information on this issue.
(3) Substantial Clinical Improvement Criterion
    Under the third criterion at Sec.  412.87(b)(1), a medical service 
or technology must represent an advance that substantially improves, 
relative to technologies previously available, the diagnosis or 
treatment of Medicare beneficiaries. In the FY 2020 IPPS/LTCH PPS final 
rule (84 FR 42288 through 42292), we prospectively codified in our 
regulations at Sec.  412.87(b) the following aspects of how we evaluate 
substantial clinical improvement for purposes of new technology add-on 
payments under the IPPS:
     The totality of the circumstances is considered when 
making a determination that a new medical service or technology 
represents an advance that substantially improves, relative to services 
or technologies previously available, the diagnosis or treatment of 
Medicare beneficiaries.
     A determination that a new medical service or technology 
represents an advance that substantially improves, relative to services 
or technologies previously available, the diagnosis or treatment of 
Medicare beneficiaries means--
    ++ The new medical service or technology offers a treatment option 
for a patient population unresponsive to, or ineligible for, currently 
available treatments;
    ++ The new medical service or technology offers the ability to 
diagnose a medical condition in a patient population where that medical 
condition is currently undetectable, or offers the ability to diagnose 
a medical condition earlier in a patient population than allowed by 
currently available methods, and there must also be evidence that use 
of the new medical service or technology to make a diagnosis affects 
the management of the patient;
    ++ The use of the new medical service or technology significantly 
improves clinical outcomes relative to services or technologies 
previously available as demonstrated by one or more of the following: a 
reduction in at least one clinically significant adverse event, 
including a reduction in mortality or a clinically significant 
complication; a decreased rate of at least one subsequent diagnostic or 
therapeutic intervention; a decreased number of future hospitalizations 
or physician visits; a more rapid beneficial resolution of the disease 
process treatment including, but not limited to, a reduced length of 
stay or recovery time; an improvement in one or more activities of 
daily living; an improved quality of life; or, a demonstrated greater 
medication adherence or compliance; or
    ++ The totality of the circumstances otherwise demonstrates that 
the new medical service or technology substantially improves, relative 
to technologies previously available, the diagnosis or treatment of 
Medicare beneficiaries.
     Evidence from the following published or unpublished 
information sources from within the United States or elsewhere may be 
sufficient to establish that a new medical service or technology 
represents an advance that substantially improves, relative to services 
or technologies previously available, the diagnosis or treatment of 
Medicare beneficiaries: clinical trials, peer reviewed journal 
articles; study results; meta-analyses; consensus statements; white 
papers; patient surveys; case studies; reports; systematic literature 
reviews; letters from major healthcare associations; editorials and 
letters to the editor; and public comments. Other appropriate 
information sources may be considered.
     The medical condition diagnosed or treated by the new 
medical service or technology may have a low prevalence among Medicare 
beneficiaries.
     The new medical service or technology may represent an 
advance that substantially improves, relative to services or 
technologies previously available, the diagnosis or treatment of a 
subpopulation of patients with the medical condition diagnosed or 
treated by the new medical service or technology.
    We refer the reader to the FY 2020 IPPS/LTCH PPS final rule (84 FR 
42288 through 42292) for additional discussion of the evaluation of 
substantial clinical improvement for purposes of new technology add-on 
payments under the IPPS.
    We note, consistent with the discussion in the FY 2003 IPPS final 
rule (67 FR 50015), that while FDA has regulatory responsibility for 
decisions related to marketing authorization (for example, approval, 
clearance, etc.), we do not rely upon FDA criteria in our evaluation of 
substantial clinical improvement for purposes of determining what 
services and technologies qualify for new technology add-on payments 
under Medicare. This criterion does not depend on the standard of 
safety and effectiveness on which FDA relies but on a demonstration of 
substantial clinical improvement in the Medicare population.
b. Alternative Inpatient New Technology Add-On Payment Pathway
    Beginning with applications for FY 2021 new technology add-on 
payments, under the regulations at Sec.  412.87(c), a medical device 
that is part of FDA's Breakthrough Devices Program may qualify for the 
new technology add-on payment under an alternative pathway. 
Additionally, under the regulations at Sec.  412.87(d) for certain 
antimicrobial products, beginning with FY 2021, a drug that is 
designated by FDA as a Qualified Infectious Disease Product (QIDP), 
and, beginning with FY 2022, a drug that is approved by FDA under the 
Limited Population Pathway for Antibacterial and Antifungal Drugs 
(LPAD), may also qualify for the new technology add-on payment under an 
alternative pathway. We refer the reader to the FY 2020 IPPS/LTCH PPS 
final rule (84 FR 42292 through 42297) and the FY 2021 IPPS/LTCH PPS 
final rule (85 FR 58737 through 58739) for further discussion on this 
policy. We note that CMS reviews the application based on the 
information provided by the applicant only under the alternative 
pathway specified by the applicant at the time of application 
submission. To receive approval for the new technology add-on payment 
under that alternative pathway, the technology must have the applicable 
FDA designation and meet all other requirements in the regulations in 
Sec.  412.87(c) and (d), as applicable. We note, in section II.E.7. of 
this proposed rule, we are proposing to repeal the alternative pathway 
for new technology add-on payment beginning with applications received 
for new technology add-on payments for FY

[[Page 19398]]

2028 and require all applicants for new technology add-on payments to 
demonstrate that they meet all eligibility requirements to receive add-
on payments. (We refer the reader to section II.E.7. of this proposed 
rule for a complete discussion regarding this proposal.)
(1) Alternative Pathway for Certain Transformative New Devices
    For applications received for new technology add-on payments for FY 
2021 and subsequent fiscal years, a medical device designated under 
FDA's Breakthrough Devices Program \18\ that has received FDA marketing 
authorization will be considered not substantially similar to an 
existing technology for purposes of the new technology add-on payment 
under the IPPS, and will not need to meet the requirement under Sec.  
412.87(b)(1) that it represent an advance that substantially improves, 
relative to technologies previously available, the diagnosis or 
treatment of Medicare beneficiaries. Under this alternative pathway, a 
medical device that has received a Breakthrough Device designation, and 
then received FDA marketing authorization (that is, has been approved 
or cleared by, or had a De Novo classification request granted by, FDA) 
for the indication covered by the Breakthrough Device designation, will 
need to meet the requirements of Sec.  412.87(c). We note that in the 
FY 2021 IPPS/LTCH PPS final rule (85 FR 58734 through 58736), we 
clarified our policy that a new medical device under this alternative 
pathway must receive marketing authorization for the indication covered 
by the Breakthrough Devices Program designation. We refer the reader to 
the FY 2021 IPPS/LTCH PPS final rule (85 FR 58734 through 58736) for 
further discussion regarding this clarification.
---------------------------------------------------------------------------

    \18\ Breakthrough Devices Program https://www.fda.gov/medical-devices/how-study-and-market-your-device/breakthrough-devices-program.
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(2) Alternative Pathway for Certain Antimicrobial Products
    For applications received for new technology add-on payments for 
certain antimicrobial products, beginning with FY 2021, if a technology 
is designated by FDA as a QIDP and received FDA marketing 
authorization, and, beginning with FY 2022, if a drug is approved under 
FDA's LPAD pathway and used for the indication approved under the LPAD 
pathway, it will be considered not substantially similar to an existing 
technology for purposes of new technology add-on payments and will not 
need to meet the requirement that it represent an advance that 
substantially improves, relative to technologies previously available, 
the diagnosis or treatment of Medicare beneficiaries. Under this 
alternative pathway for QIDPs and LPADs, a medical product that has 
received FDA marketing authorization and is designated by FDA as a QIDP 
or approved under the LPAD pathway will need to meet the requirements 
of Sec.  412.87(d). We refer the reader to the FY 2020 IPPS/LTCH PPS 
final rule (84 FR 42292 through 42297) and FY 2021 IPPS/LTCH PPS final 
rule (85 FR 58737 through 58739) for further discussion on this policy.
    We note that, in the FY 2021 IPPS/LTCH PPS final rule (85 FR 58737 
through 58739), we clarified that a new medical product seeking 
approval for the new technology add-on payment under the alternative 
pathway for QIDPs must receive FDA marketing authorization for the 
indication covered by the QIDP designation. We also finalized our 
policy to expand our alternative new technology add-on payment pathway 
for certain antimicrobial products to include products approved under 
the LPAD pathway and used for the indication approved under the LPAD 
pathway.
c. Additional Payment for New Medical Service or Technology
    The new medical service or technology add-on payment policy under 
the IPPS provides additional payments for cases with relatively high 
costs involving eligible new medical services or technologies, while 
preserving some of the incentives inherent under an average-based 
prospective payment system. The payment mechanism is based on the cost 
to hospitals for the new medical service or technology. As noted 
previously, we do not include capital costs in the add-on payments for 
a new medical service or technology or make new technology add-on 
payments under the IPPS for capital-related costs (72 FR 47307 through 
47308).
    For discharges occurring before October 1, 2019, under Sec.  
412.88, if the costs of the discharge (determined by applying operating 
cost-to-charge ratios (CCRs) as described in Sec.  412.84(h)) exceed 
the full DRG payment (including payments for IME and DSH, but excluding 
outlier payments), CMS made an add-on payment equal to the lesser of: 
(1) 50 percent of the costs of the new medical service or technology; 
or (2) 50 percent of the amount by which the costs of the case exceed 
the standard DRG payment.
    Beginning with discharges on or after October 1, 2019, for the 
reasons discussed in the FY 2020 IPPS/LTCH PPS final rule (84 FR 42297 
through 42300), we finalized an increase in the new technology add-on 
payment percentage, as reflected at Sec.  412.88(a)(2)(ii). 
Specifically, for a new technology other than a medical product 
designated by FDA as a QIDP, beginning with discharges on or after 
October 1, 2019, if the costs of a discharge involving a new technology 
(determined by applying CCRs as described in Sec.  412.84(h)) exceed 
the full DRG payment (including payments for IME and DSH, but excluding 
outlier payments), Medicare will make an add-on payment equal to the 
lesser of: (1) 65 percent of the costs of the new medical service or 
technology; or (2) 65 percent of the amount by which the costs of the 
case exceed the standard DRG payment. For a new technology that is a 
medical product designated by FDA as a QIDP, beginning with discharges 
on or after October 1, 2019, if the costs of a discharge involving a 
new technology (determined by applying CCRs as described in Sec.  
412.84(h)) exceed the full DRG payment (including payments for IME and 
DSH, but excluding outlier payments), Medicare will make an add-on 
payment equal to the lesser of: (1) 75 percent of the costs of the new 
medical service or technology; or (2) 75 percent of the amount by which 
the costs of the case exceed the standard DRG payment. For a new 
technology that is a medical product approved under FDA's LPAD pathway, 
beginning with discharges on or after October 1, 2020, if the costs of 
a discharge involving a new technology (determined by applying CCRs as 
described in Sec.  412.84(h)) exceed the full DRG payment (including 
payments for IME and DSH, but excluding outlier payments), Medicare 
will make an add-on payment equal to the lesser of: (1) 75 percent of 
the costs of the new medical service or technology; or (2) 75 percent 
of the amount by which the costs of the case exceed the standard DRG 
payment. As set forth in Sec.  412.88(b)(2), unless the discharge 
qualifies for an outlier payment, the additional Medicare payment will 
be limited to the full MS-DRG payment plus 65 percent (or 75 percent 
for certain antimicrobial products (QIDPs and LPADs)) of the estimated 
costs of the new technology or medical service. We refer the reader to 
the FY 2020 IPPS/LTCH PPS final rule (84 FR 42297 through 42300) for 
further discussion on the increase in the new technology add-on payment 
beginning with discharges on or after October 1, 2019.

[[Page 19399]]

    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69245 
through 69252), we finalized an increase in the new technology add-on 
payment percentage, reflected at Sec.  412.88(a)(2)(ii)(C) and 
(b)(2)(iv), that for certain gene therapies approved for new technology 
add-on payments in the FY 2025 IPPS/LTCH PPS final rule that are 
indicated and used specifically for the treatment of sickle cell 
disease (SCD), effective with discharges on or after October 1, 2024 
and concluding at the end of the 2- to 3-year newness period for such 
therapy, if the costs of a discharge (determined by applying CCRs as 
described in Sec.  [thinsp]412.84(h)) involving the use of such therapy 
for the treatment of SCD exceed the full DRG payment (including 
payments for IME and DSH, but excluding outlier payments), Medicare 
will make an add-on payment equal to the lesser of: (1) 75 percent of 
the costs of the new medical service or technology; or (2) 75 percent 
of the amount by which the costs of the case exceed the standard DRG 
payment. We noted that these payment amounts would only apply to 
CasgevyTM (exagamglogene autotemcel) and 
LyfgeniaTM (lovotibeglogene autotemcel), when indicated and 
used specifically for the treatment of SCD, which were approved for new 
technology add-on payments in the FY 2025 IPPS/LTCH PPS final rule (89 
FR 69128 through 69135, and 89 FR 69188 through 69196).
    We note that, consistent with the prospective nature of the IPPS, 
we finalize the new technology add on payment amount for technologies 
approved or conditionally approved for new technology add-on payments 
in the final rule for each fiscal year and do not make mid-year changes 
to new technology add-on payment amounts. Updated cost information may 
be submitted and included in rulemaking to be considered for the 
following fiscal year.
    Section 503(d)(2) of the MMA (Pub. L. 108-173) provides that there 
shall be no reduction or adjustment in aggregate payments under the 
IPPS due to add-on payments for new medical services and technologies. 
Therefore, in accordance with section 503(d)(2) of the MMA, add-on 
payments for new medical services or technologies for FY 2005 and 
subsequent years have not been subjected to budget neutrality.
d. Evaluation of Eligibility Criteria for New Medical Service or 
Technology Applications
    In the FY 2009 IPPS final rule (73 FR 48561 through 48563), we 
modified our regulation at Sec.  412.87 to codify our longstanding 
practice of how CMS evaluates the eligibility criteria for new medical 
service or technology add-on payment applications. That is, we first 
determine whether a medical service or technology meets the newness 
criterion, and only if so, do we then make a determination as to 
whether the technology meets the cost threshold and represents a 
substantial clinical improvement over existing medical services or 
technologies. We specified that all applicants for new technology add-
on payments must have FDA approval or clearance by July 1 of the year 
prior to the beginning of the fiscal year for which the application is 
being considered. In the FY 2021 IPPS/LTCH PPS final rule, to more 
precisely describe the various types of FDA approvals, clearances and 
classifications that we consider under our new technology add-on 
payment policy, we finalized a technical clarification to the 
regulation to indicate that new technologies must receive FDA marketing 
authorization 19 20 (such as pre-market approval (PMA); 
510(k) clearance; the granting of a De Novo classification request; or 
approval of a New Drug Application (NDA) or Biologics License 
Application (BLA)) by July 1 of the year prior to the beginning of the 
fiscal year for which the application is being considered (85 FR 
58742). Consistent with our longstanding policy, we consider FDA 
marketing authorization as representing that a product has received FDA 
approval or clearance, or has been granted a De Novo classification 
request when considering eligibility for the new technology add-on 
payment.
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    \19\ How to Study and Market Your Device https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/how-study-and-market-your-device.
    \20\ Types of Applications https://www.fda.gov/drugs/how-drugs-are-developed-and-approved/types-applications.
---------------------------------------------------------------------------

    Additionally, in the FY 2021 IPPS/LTCH PPS final rule (85 FR 58739 
through 58742), we finalized our proposal to provide conditional 
approval for new technology add-on payment for a technology for which 
an application is submitted under the alternative pathway for certain 
antimicrobial products at Sec.  412.87(d) that does not receive FDA 
marketing authorization by July 1 prior to the particular fiscal year 
for which the applicant applied for new technology add-on payments, 
provided that the technology otherwise meets the applicable add-on 
payment criteria. Under this policy, cases involving eligible 
antimicrobial products would begin receiving the new technology add-on 
payment sooner, effective for discharges the quarter after the date of 
FDA marketing authorization, provided that the technology receives FDA 
marketing authorization before July 1 of the fiscal year for which the 
applicant applied for new technology add-on payments. As noted, in 
section II.E.7. of this proposed rule, we are proposing to repeal the 
alternative pathway for new technology add-on payment, such that 
beginning with applications received for new technology add-on payments 
for FY 2028, in order to be eligible for consideration for the new 
technology add on payment for the upcoming fiscal year, all applicants 
would need to receive FDA marketing authorization by May 1 prior to the 
particular fiscal year for which the application is being considered.
    As discussed in the FY 2024 and FY 2025 IPPS/LTCH PPS final rules 
(88 FR 58948 through 58958 and 89 FR 69242 through 69245, 
respectively), beginning with the new technology add-on payment 
applications for FY 2025, for technologies that are not already FDA 
market authorized for the indication that is the subject of the new 
technology add-on payment application, applicants must have a complete 
and active FDA market authorization request at the time of new 
technology add-on payment application submission and must provide 
documentation of FDA acceptance (for a 510(k) or De Novo Classification 
request submission) or filing (for a PMA, NDA, or BLA) to CMS at the 
time of application submission, consistent with the type of FDA 
marketing authorization application the applicant has submitted to FDA. 
See Sec.  412.87(e) and further discussion in the FY 2024 IPPS/LTCH PPS 
final rule (88 FR 58948 through 58958) and the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69242 through 69245). As we have discussed in prior 
rulemaking, we consider the application to be complete when the full 
application has been submitted to FDA and FDA has provided 
documentation to the applicant indicating that FDA has determined that 
the application is sufficiently complete to allow for substantive 
review by FDA. We further stated in the FY 2026 IPPS/LTCH PPS final 
rule (90 FR 36661 through 36662) that we recognize that FDA processes 
and documentation may change over time, and the acceptance or filing 
documentation may vary depending on the type of FDA marketing 
authorization application the applicant has submitted to FDA. For 
example, we understand that FDA considers submission of a 510(k) or De 
Novo Classification request

[[Page 19400]]

to be accepted for substantive review after the completion of either a 
refuse to accept (RTA) review or a technical screening 
process.21 22 Submissions of 510(k) and De Novo 
Classification requests undergo a technical screening process when they 
are submitted to FDA using the electronic Submission Template And 
Resource (eSTAR) process; 510(k) and De Novo Classification requests 
that are not submitted via eSTAR undergo an RTA review. Accordingly, 
FDA provides applicants using eSTAR with a review assignment 
notification to indicate that FDA has completed its technical screening 
process and has determined that the submission is sufficiently complete 
to allow for substantive review. Therefore, new technology add-on 
payment applicants that have submitted a 510(k) or De Novo 
Classification request submission to FDA through eSTAR must submit a 
copy of the review assignment notification to CMS (at the time of new 
technology add-on payment application) to establish the application is 
sufficiently complete to allow for substantive review by FDA. We noted 
that PMAs submitted using eSTAR that complete technical screening will 
still undergo a subsequent filing review by FDA, after which an 
application is determined to be sufficiently complete to allow for 
substantive review; therefore, we continue to require documentation of 
FDA filing for these applications. We also stated that we recognize 
that FDA does not conduct a new filing review for NDA or BLA 
applications that were the subject of a Complete Response Letter (CRL) 
and were subsequently resubmitted to FDA, even though resubmissions are 
considered a new review cycle.23 24 Therefore, beginning 
with the new technology add-on applications submitted for FY 2027, 
these new technology add-on payment applicants must provide to CMS a 
copy of the resubmission acknowledgement letter from FDA that provides 
the new goal date for FDA review of the application. We further note 
that if there are other processes not described here, or if there are 
further changes to FDA's review processes, consistent with our policy, 
applicants must provide to CMS the most up-to-date documentation that 
indicates FDA has determined that the application is sufficiently 
complete to allow for substantive review by FDA.
---------------------------------------------------------------------------

    \21\ FDA and Industry Actions on Premarket Notification (510(k)) 
Submissions: Effect on FDA Review Clock and Goals Guidance for 
Industry and Food and Drug Administration Staff Document issued on 
October 3, 2022. https://www.fda.gov/media/73507/download.
    \22\ FDA and Industry Actions on De Novo Classification 
Requests: Effect on FDA Review Clock and Goals Guidance for Industry 
and Food and Drug Administration Staff Document issued on October 3, 
2022. https://www.fda.gov/media/107652/download.
    \23\ SOPP 8405.1: Procedures for Resubmissions to an Application 
or Supplement. Version: 8, Effective Date: November 13, 2022. 
https://www.fda.gov/media/84417/download.
    \24\ 21 CFR 314.110, Complete response letter to the applicant 
https://www.ecfr.gov/current/title-21/chapter-I/subchapter-D/part-314/subpart-D/section-314.110.
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    In the FY 2024 IPPS/LTCH PPS final rule (88 FR 58948 through 
58958), we also finalized that, beginning with FY 2025 applications, in 
order to be eligible for consideration for the new technology add-on 
payment for the upcoming fiscal year, an applicant for new technology 
add-on payments must have received FDA marketing authorization by May 1 
(rather than July 1) of the year prior to the beginning of the fiscal 
year for which the application is being considered (except for an 
application that is submitted under the alternative pathway for certain 
antimicrobial products), as reflected at Sec.  412.87(f)(2) and (3), as 
amended and redesignated in the FY 2024 IPPS/LTCH PPS final rule (88 FR 
58948 through 58958, 88 FR 59331). As noted, in section II.E.7. of this 
proposed rule, we are proposing to repeal the alternative pathway for 
new technology add-on payment, such that beginning with the FY 2028 new 
technology add-on payment applications, in order to be eligible for 
consideration for the new technology add on payment for the upcoming 
fiscal year, all applicants would need to receive FDA marketing 
authorization by May 1 of the year prior to the beginning of the fiscal 
year for which the application is being considered.
e. Pharmaceutical & Technology Ombudsman (PTO)
    Many interested parties (including device/biologic/drug developers 
or manufacturers, industry consultants, others) engage with CMS for 
coverage, coding, and payment questions or concerns. In order to 
streamline engagement by centralizing the different innovation pathways 
within CMS including new technology add-on payments, CMS utilizes the 
Pharmaceutical & Technology Ombudsman as an initial resource for 
interested parties. This Ombudsman is available to assist with all of 
the following:
     Help to point interested parties to or provide information 
and resources where possible regarding process, requirements, and 
timelines.
     As necessary, coordinate and facilitate opportunities for 
interested parties to engage with various CMS components.
     Serve as a primary point of contact for interested parties 
and provide updates on developments where possible or appropriate.
    We receive many questions from parties interested in pursuing new 
technology add-on payments who may not be entirely familiar with 
working with CMS. While we encourage interested parties to first review 
our resources available at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/new-medical-services-and-new-technologies, we know that there may be additional questions 
about the application process. Interested parties with further 
questions regarding Medicare's coverage, coding, and payment processes, 
and how they can navigate these processes, whether for new technology 
add-on payments or otherwise, should review the updated resource guide 
available at: https://www.cms.gov/medicare/coding-billing/guide-medical-technology-companies-other-interested-parties. Parties that 
would like to further discuss questions or concerns with CMS should 
contact the Pharmaceutical & Technology Ombudsman at 
[email protected].
f. Application Information for New Medical Services or Technologies
    Applicants for add-on payments for new medical services or 
technologies for FY 2028 must submit a formal request, including a full 
description of the clinical applications of the medical service or 
technology and the results of any clinical evaluations demonstrating 
that the new medical service or technology represents a substantial 
clinical improvement (unless the application is under one of the 
alternative pathways as previously described, if the proposal in 
section II.E.7. of this proposed rule to repeal the alternative pathway 
for new technology add-on payment beginning with FY 2028 new technology 
add-on payment applications is not finalized), along with a significant 
sample of data to demonstrate that the medical service or technology 
meets the high-cost threshold. If the proposal in section II.E.7. of 
this proposed rule to repeal the alternative pathway is not finalized, 
CMS will continue to review applications under the pathway specified by 
the applicant at the time of application submission. Complete 
application information, along with final deadlines for submitting a 
full application, will be posted as it becomes available on the CMS 
website at: https://

[[Page 19401]]

www.cms.gov/medicare/payment/prospective-payment-systems/acute-
inpatient-pps/new-medical-services-and-new-technologies.
    To allow interested parties to identify the new medical services or 
technologies under review before the publication of the proposed rule 
for FY 2028, once the application deadline has closed, CMS will post on 
its website a list of the applications submitted, along with a brief 
description of each technology as provided by the applicant.
    As discussed in the FY 2023 IPPS/LTCH PPS final rule (87 FR 48986 
through 48990), we finalized our proposal to publicly post online new 
technology add-on payment applications, including the completed 
application forms, certain related materials, and any additional 
updated application information submitted subsequent to the initial 
application submission (except certain volume, cost and other 
information identified by the applicant as confidential), beginning 
with the application cycle for FY 2024, at the time the proposed rule 
is published. We also finalized that with the exception of information 
included in a confidential information section of the application, cost 
and volume information, and materials identified by the applicant as 
copyrighted or not otherwise releasable to the public, the contents of 
the application and related materials may be posted publicly, and that 
we will not post applications that are withdrawn prior to publication 
of the proposed rule. We refer the reader to the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 48986 through 48990) for further information 
regarding this policy. In addition, as discussed in the FY 2026 IPPS/
LTCH PPS final rule (90 FR 36663 through 36664), beginning with the new 
technology add-on payment applications submitted for FY 2027, the 
public posting includes the applicant's explanation of the cost 
analysis methodology, including the step-by-step explanation of the 
columns used in the cost analysis spreadsheet attachment, any optional 
comments provided by the applicant, and information about the case 
weighted threshold and final inflated case weighted standardized charge 
per case, as is currently subject to discussion in the cost criterion 
analysis for each eligible application in the proposed rule. The cost 
analysis spreadsheet attachment and other cost or charge values that 
may have been provided in the applicant's responses in the cost 
criterion section are not included in the public posting. Certain cost 
and volume information may still be summarized and discussed in the 
proposed rule, but we are providing more succinct information as part 
of the summaries in the proposed and final rules regarding the 
applicant's assertions as to how the medical service or technology 
meets the cost criterion.
    We note that the burden associated with this information collection 
requirement is the time and effort required to collect and submit the 
data in the formal request for add-on payments for new medical services 
and technologies to CMS. The aforementioned burden is subject to the 
PRA and approved under OMB control number 0938-1347 and has an 
expiration date of December 31, 2026.
2. Public Input Before Publication of a Notice of Rulemaking on Add-On 
Payments
    Section 1886(d)(5)(K)(viii) of the Act, as amended by section 
503(b)(2) of the MMA, provides for a mechanism for public input before 
publication of a notice of proposed rulemaking regarding whether a 
medical service or technology represents a substantial clinical 
improvement. The process for evaluating new medical service and 
technology applications requires the Secretary to do all of the 
following:
     Provide, before publication of a proposed rule, for public 
input regarding whether a new service or technology represents an 
advance in medical technology that substantially improves the diagnosis 
or treatment of Medicare beneficiaries.
     Make public and periodically update a list of the services 
and technologies for which applications for add-on payments are 
pending.
     Accept comments, recommendations, and data from the public 
regarding whether a service or technology represents a substantial 
clinical improvement.
     Provide, before publication of a proposed rule, for a 
meeting at which organizations representing hospitals, physicians, 
manufacturers, and any other interested party may present comments, 
recommendations, and data regarding whether a new medical service or 
technology represents a substantial clinical improvement to the 
clinical staff of CMS.
    In order to provide an opportunity for public input regarding add-
on payments for new medical services and technologies for FY 2027 prior 
to publication of the FY 2027 IPPS/LTCH PPS proposed rule, we published 
a notice in the Federal Register on September 10, 2025 (90 FR 43613), 
and held a virtual town hall meeting on December 10, 2025. In the 
announcement notice for the meeting, we stated that the opinions and 
presentations provided during the meeting would assist us in our 
evaluations of applications by allowing public discussion of the 
substantial clinical improvement criterion for the FY 2027 new medical 
service and technology add-on payment applications before the 
publication of the FY 2027 IPPS/LTCH PPS proposed rule.
    Approximately 190 individuals attended the virtual town hall 
meeting. We posted the recordings of the virtual town hall on the CMS 
web page at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/new-medical-services-and-new-technologies.
    We considered each applicant's presentation made at the town hall 
meeting, as well as written comments received by the December 15, 2025 
deadline, in our evaluation of the new technology add-on payment 
applications for FY 2027 in the development of the FY 2027 IPPS/LTCH 
PPS proposed rule. In response to the published notice and the New 
Technology Town Hall meeting, we received written comments regarding 
the applications for FY 2027 new technology add-on payments. As 
explained earlier and in the Federal Register notice announcing the New 
Technology Town Hall meeting (90 FR 43613), the purpose of the meeting 
was specifically to discuss the substantial clinical improvement 
criterion with regard to pending new technology add-on payment 
applications for FY 2027. Therefore, we are not summarizing any written 
comments in this proposed rule that are unrelated to the substantial 
clinical improvement criterion. In section II.E.5. of the preamble of 
this proposed rule, we summarize comments regarding individual 
applications, or, if applicable, indicate that there were no comments 
received in response to the New Technology Town Hall meeting notice or 
New Technology Town Hall meeting, at the end of each discussion of the 
individual applications.
3. ICD-10-PCS Section ``X'' Codes for Certain New Medical Services and 
Technologies
    As discussed in the FY 2016 IPPS/LTCH PPS final rule (80 FR 49434), 
the ICD-10-PCS includes a new section containing the new Section ``X'' 
codes, which began being used with discharges occurring on or after 
October 1, 2015. Decisions regarding changes to ICD-10-PCS Section 
``X'' codes will be handled in the same manner as the decisions for all 
of the other ICD-10-PCS code

[[Page 19402]]

changes. That is, proposals to create, delete, or revise Section ``X'' 
codes under the ICD-10-PCS structure will be referred to the ICD-10 
Coordination and Maintenance Committee. In addition, several of the new 
medical services and technologies that have been, or may be, approved 
for new technology add-on payments may now, and in the future, be 
assigned a Section ``X'' code within the structure of the ICD-10-PCS. 
We posted ICD-10-PCS Guidelines on the CMS website at: https://www.cms.gov/medicare/coding-billing/icd-10-codes, including guidelines 
for ICD-10-PCS Section ``X'' codes. We encourage providers to view the 
material provided on ICD-10-PCS Section ``X'' codes.
4. Proposed FY 2027 Status of Technologies Receiving New Technology 
Add-On Payments for FY 2026
    In this section of the proposed rule, we discuss the proposed FY 
2027 status of the 54 new technology add-on payments approved for FY 
2026, as set forth in the tables that follow. Specifically, we present 
our proposals to continue the new technology add-on payments for FY 
2027 for those technologies that were approved for the new technology 
add-on payment for FY 2026, and which would still be considered ``new'' 
for purposes of new technology add-on payments for FY 2027. We also 
present our proposals to discontinue new technology add-on payments for 
FY 2027 for those technologies that were approved for the new 
technology add-on payment for FY 2026, and which would no longer be 
considered ``new'' for purposes of new technology add-on payments for 
FY 2027.
    Our policy is that a medical service or technology may continue to 
be considered ``new'' for purposes of new technology add-on payments 
within 2 or 3 years after the point at which data begin to become 
available reflecting the inpatient hospital code assigned to the new 
service or technology. Our practice has been to begin and end new 
technology add-on payments on the basis of a fiscal year, and, for 
technologies that were first approved for new technology add-on 
payments prior to FY 2025, we have generally followed a guideline that 
uses a 6-month window before and after the start of the fiscal year to 
determine whether to extend the new technology add-on payment for an 
additional fiscal year, and, in general, we have extended new 
technology add-on payments for these technologies for an additional 
year only if the 3-year anniversary date of the product's entry onto 
the U.S. market occurs in the latter half of the fiscal year (70 FR 
47362).
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69238 
through 69242), we finalized that, beginning with new technology add-on 
payments for FY 2026, in assessing whether to continue the new 
technology add-on payments for those technologies that are first 
approved for new technology add-on payments in FY 2025 or a subsequent 
year, we will extend new technology add-on payments for an additional 
fiscal year when the 3-year anniversary date of the product's entry 
onto the U.S. market occurs on or after October 1 of that fiscal year. 
This change is effective beginning with those technologies that are 
initially approved for new technology add-on payments in FY 2025 or a 
subsequent year. For technologies that were first approved for new 
technology add-on payments prior to FY 2025, including for technologies 
we determine to be substantially similar to those technologies, we 
continue to use the midpoint of the upcoming fiscal year (April 1) when 
determining whether a technology would still be considered ``new'' for 
purposes of new technology add-on payments.
    Table II.E-01 lists the technologies that were first approved for 
new technology add-on payments in FY 2025 or a subsequent year, for 
which we are proposing to continue making new technology add-on 
payments for FY 2027 because they are still considered ``new'' for 
purposes of new technology add-on payments because the 3-year 
anniversary date of the product's entry onto the U.S. market occurs on 
or after October 1, 2026. This table also presents the newness start 
date, new technology add-on payment start date, 3-year anniversary date 
of the product's entry onto the U.S. market, relevant final rule 
citations from prior fiscal years, proposed maximum add-on payment 
amount, and coding assignments for each technology. We refer readers to 
the cited final rules in the table for a complete discussion of the new 
technology add-on payment application, coding, and payment amount for 
these technologies, including the applicable indications and discussion 
of the newness start date.
    We note that we conditionally approved CONTEPOTM 
(fosfomycin) for FY 2026 new technology add-on payments under the 
alternative pathway for certain antimicrobial products (90 FR 36831 
through 36833), subject to the technology receiving FDA marketing 
authorization by July 1, 2026. CONTEPOTM received FDA 
marketing authorization on October 22, 2025, and was eligible to 
receive new technology add-on payments in FY 2026 beginning with 
discharges on or after January 1, 2026. As CONTEPOTM 
received FDA marketing authorization prior to July 1, 2026, and was 
approved for new technology add-on payments in FY 2026, we are 
proposing to continue making new technology add-on payments for 
CONTEPOTM for FY 2027.
    As discussed in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36666 
through 36671), in response to comments from the applicant for 
ZEVTERA[supreg] requesting that CMS consider the beginning of the 
newness period for ZEVTERA[supreg] to commence on May 20, 2025, which 
it stated was the date on which ZEVTERA[supreg] became commercially 
available on the U.S. market, we noted that that date occurred after 
new technology add-on payments for ZEVTERA[supreg] began, as it was 
approved for new technology add-on payment for FY 2025 (starting 
October 1, 2024). While we agreed that per our policy, we may consider 
a documented delay in a technology's market availability in our 
determination of newness, we noted that the new technology add-on 
payment for claims reporting ICD-10-PCS procedure codes for 
ZEVTERA[supreg] (XW0335A (Introduction of ceftobiprole medocaril anti-
infective into peripheral vein, percutaneous approach) and XW0435A 
(Introduction of ceftobiprole medocaril anti-infective into central 
vein, percutaneous approach)) was available beginning October 1, 2024.
    Furthermore, we noted that beginning with new technology add-on 
payments for FY 2026, in assessing whether to continue the new 
technology add-on payments for those technologies that are first 
approved for new technology add-on payments in FY 2025 or a subsequent 
year, we will extend new technology add-on payments for an additional 
fiscal year when the 3-year anniversary date of the product's entry 
onto the U.S. market occurs on or after October 1 of that fiscal year. 
We stated that if we were to consider the beginning of the newness 
period to commence on May 20, 2025, the date on which the applicant 
states ZEVTERA[supreg] became commercially available on the U.S. 
market, under our policy, the technology would potentially be eligible 
for new technology add-on payment for up to four years. Although the 
applicant stated that CMS had delayed the newness start dates for other 
technologies when market availability was significantly later than the 
FDA approval date, and that like these other products, 
ZEVTERA[supreg]'s newness period should commence on the date on which 
the technology became commercially

[[Page 19403]]

available, we noted that, unlike these other technologies, the 
applicant for ZEVTERA[supreg] was asserting a date of commercial 
availability that occurred after its new technology add-on payment 
began.
    We also noted that applicants may assert a delay in commercial 
availability due to business decisions made by the applicant. We were 
concerned that a delay in commercial availability extending beyond the 
implementation date for the new technology add-on payment would 
potentially allow applicants to postpone commercial availability for an 
indefinite period of time while the technology (and other technologies 
reported using the same codes) remains eligible for new technology add-
on payment.
    Therefore, we questioned whether, where the applicant asserts a 
date of commercial availability that occurred after the new technology 
add-on payment for the technology began, it would be appropriate to 
instead consider the beginning of the newness period to commence with 
the start of the technology's new technology add-on payment. We noted 
that regardless of whether we considered the beginning of the newness 
period to commence for ZEVTERA[supreg] on May 20, 2025, April 3, 2024, 
or a date in between, the three-year anniversary date would occur after 
April 1, 2026, and, therefore, the technology was considered new for FY 
2026.
    After further review, we believe that it would be most appropriate 
to no longer consider commercial delays once a technology's new 
technology add-on payment becomes effective. We have discussed in prior 
rulemaking (89 FR 36136) that, generally, we use the FDA marketing 
authorization date as the indicator of the time when a technology 
begins to become available on the market and data reflecting the costs 
of the technology begin to become available for recalibration of the 
DRG weights. In specific circumstances, we have recognized a date later 
than the FDA marketing authorization date as the appropriate starting 
point for the 2- to 3-year newness period. For example, we have 
recognized a later date where an applicant could prove a delay in 
actual availability of a product after FDA approval or clearance. 
However, due to the increasing volume and complexity of circumstances 
in which applicants assert a delay in commercial availability, we 
believe that a delay that extends to after implementation of a new 
technology add-on payment should no longer be considered. For example, 
as discussed in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36667), we 
are concerned that a delay in commercial availability extending beyond 
the implementation date for the new technology add-on payment would 
potentially allow applicants to postpone commercial availability for an 
indefinite period of time while the technology (and other technologies 
reported using the same codes) remain eligible for new technology add-
on payment. We have also noted that applicants may be asserting a delay 
in commercial availability due to business decisions made by the 
applicant. In addition, because we now extend new technology add-on 
payments for an additional fiscal year when the 3-year anniversary date 
of a product's entry onto the U.S. market occurs on or after October 1 
of that fiscal year (89 FR 69238 through 69242), commercial delays as 
asserted by manufacturers that extend to after the new technology add-
on payment becomes effective could now have a bigger impact, as they 
could lead to new technology add-on payments being effective for four 
or more years under our current policy.
    Therefore, while we have considered no longer recognizing a date 
later than the FDA marketing authorization date as the appropriate 
starting point for the 2- to 3-year newness period, we are proposing 
that we may consider a documented delay in the beginning of a 
technology's newness period due to commercial availability only until 
the new technology add-on payment becomes effective for the fiscal year 
for which the applicant applied for new technology add-on payments. 
Under this proposal, for a technology that is not yet available for 
sale when its new technology add-on payment becomes effective, we would 
consider the newness period to begin on September 30 preceding the 
start of the new technology add-on payment for the technology.
    As such, consistent with this proposal, because the new technology 
add-on payment for ZEVTERA[supreg] became effective on October 1, 2024, 
we consider the beginning of the newness period for ZEVTERA[supreg] to 
commence on September 30, 2024.
    We are inviting public comments on our proposals to continue new 
technology add-on payments for FY 2027 for the technologies listed in 
Tables II.E.-01 of this proposed rule.
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    Table II.E.-02 lists twelve technologies that were first approved 
for new technology add-on payments prior to FY 2025, including 
technologies

[[Page 19407]]

determined to be substantially similar to such technologies, for which 
we are proposing to discontinue making new technology add-on payments 
for FY 2027 because they are no longer ``new'' for purposes of new 
technology add-on payments because the 3-year anniversary date of the 
product's entry onto the U.S. market occurs before April 1, 2027. This 
table also lists one technology that was first approved for new 
technology add-on payments in FY 2026, for which we are proposing to 
discontinue making new technology add-on payments for FY 2027 because 
it is no longer ``new'' for purposes of new technology add-on payments 
because the 3-year anniversary date of the product's entry onto the 
U.S. market occurs before October 1, 2026. For all technologies, this 
table also presents the newness start date, new technology add-on 
payment start date, the 3-year anniversary date of the product's entry 
onto the U.S. market, and relevant final rule citations from prior 
fiscal years. We refer readers to the cited final rules in the table 
for a complete discussion of each new technology add-on payment 
application and the coding and payment amount for these technologies, 
including the applicable indications and discussion of the newness 
start date.
    We note that while we are proposing to discontinue new technology 
add-on payments for FY 2027 for the Ceribell Status Epilepticus 
Monitor, Ceribell, Inc. is seeking new technology add-on payments for 
the Ceribell Delirium Monitor System for FY 2027 (as discussed in 
section II.E.6. of the preamble of this proposed rule), which is also 
identified by the ICD-10-PCS procedure code XX20X89 (Monitoring of 
brain electrical activity, computer-aided detection and notification, 
new technology group 9). In order to identify cases using the ICD-10-
PCS procedure code XX20X89 related to the Ceribell Delirium Monitor 
System and not the Ceribell Status Epilepticus Monitor, which would no 
longer be new, we are proposing to exclude cases that report the ICD-
10-CM diagnosis codes that we believe would identify patients with 
status epilepticus in combination with the ICD-10-PCS procedure code 
XX20X89. Please see Table 10.2.-- Ceribell Delirium Monitor System, 
associated with this proposed rule, for the list of ICD-10-CM diagnosis 
codes that we believe would identify patients with status epilepticus, 
which we propose to exclude from new technology add-on payment when 
reported in combination with ICD-10-PCS procedure code XX20X89. We are 
inviting public comments on our proposal to exclude cases reporting 
these ICD-10-CM diagnosis codes in combination with the ICD-10-PCS 
procedure code XX20X89, for purposes of the new technology add-on 
payment for FY 2027, if approved.
    As discussed in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36666 
through 36671), in response to public comments, including from the 
applicant for the SAINT Neuromodulation System, that requested that CMS 
recognize a delay in commercial availability of the technology to April 
5, 2024, and subsequently extend new technology add-on payment for the 
SAINT Neuromodulation System for FY 2026, we questioned whether, where 
the applicant asserts a date of commercial availability that occurred 
after the new technology add-on payment for the technology began, it 
would be appropriate to instead consider the beginning of the newness 
period to commence with the start of the technology's new technology 
add-on payment. We noted that regardless of whether we considered the 
beginning of the newness period to commence for SAINT Neuromodulation 
System on April 5, 2024; a date that reflects the start of the 
technology's new technology add-on payment in FY 2024; or a date in 
between, the three-year anniversary date would occur after April 1, 
2026, and, therefore, the technology was considered new for FY 2026.
    As discussed in greater detail previously in this section, after 
further consideration, we are proposing that we may consider a 
documented delay in the beginning of a technology's newness period due 
to commercial availability only until the new technology add-on payment 
becomes effective. Specifically, for a technology that is not yet 
available for sale when its new technology add-on payment becomes 
effective, we would consider the newness period to begin on September 
30 preceding the start of the new technology add-on payment for the 
technology.
    As such, consistent with this proposal, because the new technology 
add-on payment for SAINT Neuromodulation System became effective on 
October 1, 2023, we consider the beginning of the newness period for 
SAINT Neuromodulation System to commence on September 30, 2023. As the 
SAINT Neuromodulation System was first approved for new technology add-
on payments in FY 2024, we continue to use the midpoint of the upcoming 
fiscal year (April 1) when determining whether this technology would 
still be considered ``new'' for purposes of new technology add-on 
payments. Because we consider the beginning of the newness period to 
commence on September 30, 2023, the three-year anniversary date would 
occur before April 1, 2027, and the technology would no longer be 
considered new for FY 2027.
    We are inviting public comments on our proposals to discontinue new 
technology add-on payments for FY 2027 for the technologies listed in 
Table II.E.-02 of the preamble of this proposed rule.
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BILLING CODE 4120-01-C
5. Proposed FY 2027 Applications for New Technology Add-On Payments 
(Traditional Pathway)
    As discussed previously, as finalized in the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 48986 through 48990) and subsequently updated in the 
FY 2026 IPPS/LTCH PPS final rule (90 FR 36662 through 36664), we 
publicly post online applications for new technology add-on payment 
beginning with FY 2024 applications. As noted in these final rules, 
while we are continuing to provide discussion of the concerns or issues 
we identified with respect to applications submitted under the 
traditional pathway, we are providing more succinct information as part 
of the summaries in the proposed and final rules regarding the 
applicant's assertions as to how the medical service or technology 
meets the newness, cost, and substantial clinical improvement criteria. 
We refer readers to https://mearis.cms.gov/public/publications/ntap for 
the publicly posted FY 2027 new technology add-on payment applications 
and supporting information (with the exception of certain cost and 
volume information, and information or materials identified by the 
applicant as confidential or copyrighted), including tables listing the 
ICD-10-CM codes, ICD-10-PCS codes, and/or MS-DRGs related to the 
analyses of the cost criterion for certain technologies for the FY 2027 
new technology add-on payment applications.
    We received 15 applications for new technology add-on payments for 
FY 2027 under the new technology add-on payment traditional pathway. In 
accordance with the regulations under Sec.  412.87(f), applicants for 
FY 2027 new technology add-on payments must have received FDA marketing 
authorization by May 1 of the year prior to the beginning of the fiscal 
year for which the application is being considered. As previously 
discussed, beginning with the new technology add-on payment 
applications for FY 2025, for technologies that are not already FDA 
market authorized for the indication that is the subject of the new 
technology add-on payment application, applicants must have a complete 
and active FDA market authorization request at the time of new 
technology add-on payment application submission and must provide 
documentation of FDA acceptance or filing to CMS at the time of 
application submission, consistent with the type of FDA marketing 
authorization application the applicant has submitted to FDA. See Sec.  
412.87(e) and further discussion in the FY 2024 and FY 2025 IPPS/LTCH 
PPS final rules (88 FR 58948 through 58958; 89 FR 69242 through 69245). 
Of the 15 applications received under the traditional pathway, 3 
applicants were not eligible for consideration for new technology add-
on payment because they did not meet these requirements, and 4 
applicants withdrew their applications prior to the issuance of this 
proposed rule. We are addressing the remaining 8 applications.
    Typically, in the annual proposed rule, we provide a summary of 
each traditional pathway application and describe any concerns we may 
have regarding whether the technology meets a specific new technology 
add-on payment criterion. In this proposed rule, for technologies that 
have already received FDA marketing authorization, we are making a 
proposal to approve or disapprove each of these applications for new 
technology add-on payment. We have stated in prior rulemaking that we 
do not believe it is appropriate for CMS to determine whether a medical 
service or technology represents a substantial clinical improvement 
over existing technologies before the FDA makes a determination as to 
whether the medical service or technology is safe and effective (86 FR 
45047). Therefore, we are not making a proposal approve or disapprove 
applications for technologies that have not yet received FDA marketing 
authorization for new technology add-on payment.
a. COBENFYTM (Xanomeline and Trospium Chloride)
    Bristol Myers Squibb submitted a FY 2027 application for new 
technology add-on payments for COBENFYTM. According to the 
applicant, COBENFYTM is an oral combination drug consisting 
of xanomeline, a muscarinic agonist, and trospium chloride, a 
muscarinic antagonist, indicated for the treatment of schizophrenia in 
adults. COBENFYTM has 3 approved dose strengths (50 mg/20 
mg, 100 mg/20 mg, and 125 mg/30 mg) in capsule form. The applicant 
stated the per-day treatment cost is the same across all dosages and 
that the average inpatient length of stay for patients taking 
COBENFYTM is 7.5 days. We note that the applicant submitted 
a FY 2026 new technology add-on payment application for this 
technology, which was not approved, as discussed in the FY 2026 IPPS/
LTCH PPS final rule (90 FR 36695 through 36702).
    The following table provides an overview of the new technology add-
on payment application for COBENFYTM and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251006PD218.

[[Page 19410]]

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Newness Criterion
    Regarding substantial similarity, based on information available at 
the time of this proposed rule and as previously stated in the FY 2026 
IPPS/LTCH PPS final rule (90 FR 36697), we agree with the applicant 
that COBENFYTM uses a unique mechanism of action, because it 
is the first schizophrenia treatment for adults to target muscarinic 
receptors in the brain by combining the muscarinic agonist, xanomeline, 
and the muscarinic antagonist, trospium chloride, unlike typical and 
atypical antipsychotics currently used to treat schizophrenia which 
antagonize dopamine receptors. Therefore, based on information 
available at the time of this proposed rule, we believe that 
COBENFYTM is not substantially similar to existing treatment 
options and meets the newness criterion. As discussed in the FY 2026 
IPPS/LTCH PPS final rule, we consider the beginning of the newness 
period to commence on October 9, 2024, the date on which 
COBENFYTM became commercially available.
    We are inviting public comments on whether COBENFYTM is 
substantially similar to existing technologies and whether 
COBENFYTM meets the newness criterion.
Cost Criterion
    Regarding the cost criterion, we agree with the applicant that the 
technology meets the cost criterion. We are inviting public comments on 
whether COBENFYTM meets the cost criterion.
Substantial Clinical Improvement Criterion
    Regarding substantial clinical improvement, we also received a 
public comment in response to the New Technology Town Hall meeting 
notice published in the Federal Register regarding the substantial 
clinical improvement criterion for COBENFYTM, which we are 
summarizing in this section.
    Comment: The applicant submitted a public comment in response to 
questions posed at the New Technology Town Hall meeting. With regard to 
a question asking if COBENFYTM is considered to be an 
antipsychotic, the applicant stated that the FDA label for 
COBENFYTM does not use the term antipsychotic in the 
indication section. The applicant stated that the indication section 
states that COBENFYTM is a combination of xanomeline, a 
muscarinic agonist, and trospium chloride, a muscarinic antagonist, 
indicated for the treatment of schizophrenia in adults.\25\ According 
to the applicant, this distinction is due to FDA's recent shift toward 
a mechanism-based nomenclature, rather than a determination regarding 
COBENFYTM's therapeutic role. The applicant also stated that 
the term antipsychotic is based on both pharmacology and clinical use, 
encompassing drugs used for a range of psychiatric conditions beyond 
psychosis. The applicant further noted that FDA recognized 
COBENFYTM's role as an antipsychotic when the agency 
described the drug as the first antipsychotic drug approved to treat 
schizophrenia that targets cholinergic receptors as opposed to dopamine 
receptors, which has long been the standard of care.\26\ Additionally, 
the applicant stated that, in recognition of COBENFYTM's 
unique role as an antipsychotic, the United States Pharmacopeia Drug 
Classification (USP DC) 2025 established a new Antipsychotics, Other 
class within the Antipsychotics Category to accommodate novel medicines 
like COBENFYTM that do not fit into the traditional typical 
or atypical antipsychotic classes due to distinct pharmacology. Per the 
applicant, COBENFYTM's inclusion in the Antipsychotics, 
Other class highlights its differentiated mechanism while maintaining 
its place among other antipsychotic therapies as a treatment for 
schizophrenia.
---------------------------------------------------------------------------

    \25\ Bristol Myers Squibb Company. (2024). Highlights of 
Prescribing Information: COBENFYTM (xanomeline and 
trospium chloride) capsules, for oral use. https://www.accessdata.fda.gov/drugsatfda_docs/label/2024/216158s000lbl.pdf.
    \26\ U.S. Food and Drug Administration. (2024, September 26). 
FDA Approves Drug with New Mechanism of Action for Treatment of 
Schizophrenia [Press release]. https://www.fda.gov/news-events/press-announcements/fda-approves-drug-new-mechanism-action-treatment-schizophrenia.
---------------------------------------------------------------------------

    With regard to a question asking how quickly COBENFYTM 
takes effect, the applicant stated that although the EMERGENT studies 
assessed the primary endpoint at 5 weeks, the studies observed 
meaningful clinical effects much earlier. The applicant

[[Page 19411]]

further added that the studies found significant reductions in Positive 
and Negative Syndrome Scale (PANSS) total score (nominal p-value) 
within 2 weeks (the first scheduled assessment across all 3 trials), 
demonstrating that COBENFYTM's therapeutic benefit appears 
well before the primary endpoint. In addition, the applicant stated 
that this clinically observable effect time period complements care in 
the inpatient setting, where patients with schizophrenia often require 
7 to 14 days of treatment, compared to the more standard 3 to 4 days 
for other mental health conditions.
    With regard to a question inquiring whether the clinical trials 
included case management or patient support to ensure compliance or if 
there was qualitative evidence that efficacy alone drives compliance, 
the applicant stated that clinical trials typically provide a more 
controlled environment with additional patient support, which often 
leads to higher compliance compared to adherence and persistence 
observed in real-world settings; a pattern, the applicant noted, that 
is likely true for COBENFYTM as well. The applicant noted 
that it drew the adherence and persistence data presented at the New 
Technology Town Hall from a large, observational, real-world 
administrative claims database of patients prescribed 
COBENFYTM in routine clinical practice, without extra 
monitoring or support beyond standard care.\27\ The applicant also 
stated that early real-world data for COBENFYTM show 
encouraging adherence and persistence: over 80 percent of patients 
remained on therapy through month 4, and 72 percent met the established 
adherence metric during the follow-up, all while receiving only 
standard clinical care (Cutler et al., 2025). Additionally, the 
applicant stated that, although these findings reflect very early 
treatment patterns less than a year after COBENFYTM's market 
introduction, this strong adherence signal is particularly meaningful, 
as consistent use of antipsychotic medications is closely linked to 
lower rates of relapse, preventable hospitalizations, and emergency 
department visits in individuals with schizophrenia. Per the applicant, 
these early results suggest that COBENFYTM may offer 
meaningful benefits in real-world settings by supporting sustained 
treatment and potentially reducing the burden of acute healthcare 
utilization. Lastly, the applicant noted that CMS has designated 
adherence to antipsychotic medications as a clinical quality measure 
for healthcare providers.\28\
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    \27\ Cutler, A.J., Zhong, Y., Gillard, K., Appio, J., Gao, C., 
Lalibert[eacute], F., Rubio, J.M. Real-World Use of Xanomeline-
Trospium in Schizophrenia: Patient Characteristics and Antipsychotic 
Treatment Patterns. Presentation at Psych Congress, September 17-21, 
2025, San Diego, CA.
    \28\ Merit-Based Incentive Payment System Clinical Quality 
Measures #383: Adherence to Antipsychotic Medications For 
Individuals with Schizophrenia. Centers for Medicare and Medicaid 
Services. Retrieved December 16, 2025 from https://qpp.cms.gov/docs/QPP_quality_measure_specifications/CQM-Measures/2025_Measure_383_MIPSCQM.pdf.
---------------------------------------------------------------------------

    Response: We thank the applicant for its comment. After review of 
the information provided by the applicant and the public comment 
received in response to the New Technology Town Hall meeting, we have 
the following concerns regarding whether COBENFYTM meets the 
substantial clinical improvement criterion.
    In support of its assertions that COBENFYTM provides a 
treatment option for a patient population unresponsive to or ineligible 
for currently available therapies and that COBENFYTM 
improves clinical outcomes, the applicant provided studies that were 
also included in its FY 2026 new technology add-on payment application 
in addition to three new references: a post-hoc analysis and two 
posters.29 30 31 In its FY 2027 new technology add-on 
payment application, the applicant submitted six similar claims to 
those provided in its FY 2026 new technology add-on payment 
application, as well as additional claims stating: COBENFYTM 
offers a treatment option for schizophrenia patients with extensive 
prior antipsychotic use, COBENFYTM shows strong real-world 
persistence and adherence, and COBENFYTM shows superior 
effectiveness.
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    \29\ Cutler, A.J., Zhong, Y., Gillard, K., Appio, J., Gao, C., 
Lalibert[eacute], F., Rubio, J.M. Real-World Use of Xanomeline-
Trospium in Schizophrenia: Patient Characteristics and Antipsychotic 
Treatment Patterns. Presentation at Psych Congress, September 17-21, 
2025, San Diego, CA.
    \30\ Horan W.P., Targum S.D., Claxton A., Kaul I., Yohn S.E., 
Marder S.R., Miller A.C., Brannan S.K. Efficacy of KarXT on negative 
symptoms in acute schizophrenia: A post hoc analysis of pooled data 
from 3 trials. Schizophr Res. 2024 Dec;274:57-65. https://doi.org/10.1016/j.schres.2024.08.001.
    \31\ Hickey, C., Sidovar, M., Garcia, A., Kramer, K., Chang, 
J.A., Kupas, K., Telukuntla, V., Cutler, A.J. Comparative Efficacy, 
Safety, and Tolerability of Xanomeline and Trospium Chloride versus 
Eight Atypical Antipsychotics for the Acute Treatment of Adults with 
Schizophrenia--A Network Meta-Analysis. Presentation at the 2025 
Annual Congress of the Schizophrenia International Research Society 
(SIRS), March 29-April 2, 2025, Chicago, Illinois.
---------------------------------------------------------------------------

    After review of this information, we continue to question whether 
COBENFYTM provides a treatment option for a patient 
population unresponsive to or ineligible for currently available 
therapies or improves clinical outcomes relative to existing 
technologies.
    With regards to a new claim in its FY 2027 new technology add-on 
payment application that COBENFYTM offers a treatment option 
for schizophrenia patients with extensive prior antipsychotic use, we 
note that this claim does not identify a patient population for which 
COBENFY\TM\ could be used that is unresponsive to or ineligible for 
other available treatments since patients with prior antipsychotic use 
could still try other antipsychotics such as clozapine, which is 
indicated for patients who do not respond to other antipsychotics. We 
also question whether the evidence provided for this claim demonstrates 
the applicant's assertion. The applicant provided Cutler et al. (2025), 
a retrospective observational study of claims data for adults with 
schizophrenia in the U.S. before and after COBENFYTM 
initiation. Because Cutler et al. (2025) relied upon administrative 
claims data, we cannot be sure whether patients actually took the 
prescribed oral medication(s). Consequently, we are unable to determine 
whether all patients treated in this study had extensive prior 
antipsychotic use or if the patients actually took 
COBENFYTM. Also, the study measured medication adherence at 
60 and 90 days following COBENFYTM treatment initiation. 
However, we note that injectable antipsychotics, which patients adhere 
to because they are long-acting drugs that require professional 
administration, are typically administered at intervals of 2 to 12 
weeks.\32\ Therefore, we are concerned that measuring adherence at 60 
and 90 days may be inadequate to accurately assess differences between 
COBENFYTM and existing schizophrenia treatments. We also 
question long-term adherence rates since the average follow-up was only 
2.6 months. Finally, we are concerned that Cutler et al. (2025) does 
not demonstrate that COBENFYTM has improved clinical 
outcomes compared to other therapies because this evidence does not 
include a comparison of adherence data to existing schizophrenia 
treatments.
---------------------------------------------------------------------------

    \32\ Stroup, T.S. & Marder, S. (2025). Schizophrenia in adults: 
Maintenance therapy and side effect management. UpToDate. Retrieved 
October 7, 2025, from https://www.uptodate.com/contents/schizophrenia-in-adults-maintenance-therapy-and-side-effect-management.
---------------------------------------------------------------------------

    As discussed in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36702), 
after consideration of public comments, we continued to have concerns 
as to whether COBENFYTM meets the substantial clinical 
improvement criterion, including with respect to the

[[Page 19412]]

applicant's claims that COBENFYTM may be an effective 
treatment option for patients experiencing disruptive negative symptoms 
and that COBENFYTM is a valuable option for patients who 
respond inadequately to current treatments. The applicant submitted 
similar claims in its FY 2027 new technology add-on payment 
application, but did not provide additional supporting evidence. 
Therefore, we continue to question whether the evidence provided for 
these claims in the FY 2027 new technology add-on payment application 
demonstrates that COBENFYTM offers a treatment option for 
patients unresponsive to or ineligible for other therapies, without 
data supporting that other antipsychotics cannot be used in patients 
with negative symptoms or who have not responded to other 
antipsychotics.
    With respect to the assertion that COBENFYTM provides 
improved clinical outcomes relative to previously available therapies 
by improving symptom response and reducing metabolic side effects 
compared to several atypical antipsychotics, the applicant provided 
Hickey et al. (2025), a network meta-analysis poster, which used data 
from 58 randomized controlled trials lasting between 4 and 6 weeks and 
indirectly compared COBENFYTM to aripiprazole, cariprazine, 
olanzapine, risperidone, brexpiprazole, quetiapine, clozapine, and 
lumateperone. However, the poster does not consistently show a 
statistically significant difference in favor of COBENFYTM 
(such as with respect to PANSS response, change from baseline weight, 
and sedation). We also note that the poster did not provide comparison 
to typical antipsychotics or other atypical antipsychotics, such as 
olanzapine/samidorphan, which includes samidorphan to reduce weight 
gain. For these reasons, we question whether this study demonstrates 
COBENFYTM improves clinical outcomes compared to other 
available therapies. Additionally, we note that Hickey et al. (2025) 
found that COBENFYTM had statistically significant higher 
odds of discontinuation due to all causes compared to all comparators 
except cariprazine, for which results were unfavorable but not 
statistically significant. As a result, we further question the 
applicant's claim that COBENFYTM demonstrates improved 
persistence and adherence compared to currently available treatments.
    Finally, we note that in support of its assertion of improved 
clinical outcomes compared to previously available therapies, the 
applicant also provided four claims in its FY 2027 new technology add-
on payment application that were similar to the claims provided in its 
FY 2026 new technology add-on payment application. We note the only 
additional evidence submitted for these claims in the applicant's FY 
2027 new technology add-on payment application was Horan et al. (2024), 
a post-hoc analysis of pooled data from the three 5-week EMERGENT 
studies, which was also the only evidence provided for the claim 
regarding long-term reduction in symptoms and a persistently well-
tolerated side effect profile. However, the studies included in this 
analysis compared COBENFYTM to placebo, and therefore, we 
are unable to assess whether there is a long term reduction of symptoms 
and favorable side effect profile compared to existing schizophrenia 
treatments. In addition, we question this claim given the short 
duration of the trials and the lack of discussion on side effects in 
the article. Lastly, since the applicant did not submit evidence 
comparing COBENFYTM to other available therapies with regard 
to efficacy, safety, or discontinuation rates, we continue to question 
whether the evidence demonstrates improved clinical outcomes compared 
to previously available therapies with respect to these claims, as 
stated in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36702).
    After review of the information provided by the applicant and the 
public comment received in response to the New Technology Town Hall 
meeting, we are unable to determine that COBENFYTM 
represents a substantial clinical improvement over existing 
technologies, and therefore, we are proposing to disapprove new 
technology add-on payments for COBENFYTM for FY 2027.
    We are inviting public comments on whether COBENFYTM 
meets the substantial clinical improvement criterion and our proposal 
to disapprove new technology add-on payments for COBENFYTM 
for FY 2027.
b. Command Center Electronic Glycemic Management System
    Glytec, LLC submitted a FY 2027 application for new technology add-
on payments for Command Center Electronic Glycemic Management System 
(Command Center). According to the applicant, Command Center is an 
electronic medical record (EMR)-integrated cloud-based software 
designed to maintain blood glucose in hospitalized patients by 
recommending personalized insulin dosing. According to the applicant, 
the technology utilizes inputs collected from EMRs to direct ongoing 
insulin dosage management and daily monitoring related glycemic 
variables (such as labs and diet) during an inpatient stay until 
insulin is discontinued or the patient is sent home. Per the applicant, 
direct per-patient charge for the use of Command Center follows a 
subscription model.
    The following table provides an overview of the new technology add-
on payment application for Command Center and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251005YD7PG.
BILLING CODE 4120-01-P

[[Page 19413]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.078

BILLING CODE 4120-01-C
Newness Criterion
    Regarding the newness date, the applicant provided an FDA 510(k) 
clearance letter for Glytec Glucommander (K152300), dated August 4, 
2017, to support its new technology add-on payment application for 
Command Center. Per the 510(k) summary, the predicate device for Glytec 
Glucommander is GlucommanderTM System (K113852).\33\ Per the 
applicant, Command Center was available for sale immediately after FDA 
marketing authorization. Therefore, the newness period for Command 
Center commenced on the date of FDA clearance, August 4, 2017, or 
earlier, as discussed further in this section. Because the 3-year 
anniversary date of the entry of Command Center onto the U.S. market 
(August 4, 2020, or earlier) occurred prior to FY 2027, we do not 
believe that the device is eligible for new technology add on payments 
for FY 2027. Consistent with the statute and our implementing 
regulations, a technology is no longer considered ``new'' once it is 
more than 2 to 3 years old, irrespective of how frequently the medical 
service or technology has been used in the Medicare population (70 FR 
47349). Accordingly, we are proposing to disapprove Command Center for 
new technology add on payments for FY 2027.
---------------------------------------------------------------------------

    \33\ FDA, GlucommanderTM System, May 8, 2012 (https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K113853, accessed 2/9/2026).
---------------------------------------------------------------------------

    In addition, regarding substantial similarity, we question whether 
Command Center has the same or similar mechanism of action as existing 
technologies that manage glycemic dosing. The applicant stated that 
Command Center differs from other insulin management methods because it 
is an intelligent, algorithm-based analytic technology that uses 
multiple administrative, technical, and clinical inputs to develop an 
optimized insulin and glycemic management system to control glucose 
metabolism while minimizing hyper- and hypoglycemic episodes. Per the 
applicant, glycemic management is typically performed by nurses and 
doctors using a paper and pencil sliding scale algorithm to estimate 
the amount of insulin needed based on blood glucose values. According 
to the applicant, while other digital glycemic management systems can 
be built into EMR tables or in stand-alone systems, none are as 
sophisticated or as well-documented as Command Center. However, we note 
that there are several existing software-based, EMR-integrated glycemic 
management systems. For example, the 2012 GlucommanderTM 
System,\34\ the GlucoStabilizer Insulin Dosing Calculator 3.0,\35\ the 
EndoToolTM Drug

[[Page 19414]]

Dose Calculator,\36\ and the EndoTool SubQTM \37\ are all 
FDA-cleared glycemic management tools that monitor patient blood 
glucose and generate personalized insulin dosing recommendations. 
Therefore, we disagree with the applicant that Command Center uses a 
different mechanism of action compared to existing technologies to 
achieve a therapeutic outcome. Additionally, we disagree with the 
applicant that the use of Command Center involves the treatment of a 
different type of disease or patient population compared to existing 
technology. The applicant stated that Command Center will better 
address glycemic management needs in patients where higher degrees of 
blood glucose control accuracy are required, including post-coronary 
artery bypass graft (CABG) surgery patients, patients with diabetic 
ketoacidosis or hyperosmolar coma, stroke patients, pregnant patients, 
or children, and can be used in populations where advanced 
endocrinology expertise is not readily available. However, as we noted, 
several technologies are currently available for insulin and glycemic 
management for the same or similar type of disease and patient 
populations. Furthermore, we note per the FDA 510(k) summary for 
K152300, the indications for use for this device are the same as those 
for its predicate device (K113853). We agree with the applicant that 
Command Center maps to the same MS-DRG as existing technologies. As a 
result, we believe that Command Center is substantially similar to 
existing technologies because it uses the same or similar mechanism of 
action, maps to the same MS-DRG, and involves the treatment of the same 
or similar type of disease and patient population when compared to 
existing technologies, including its predicate device (K113853). We 
note that, per our policy, if technologies are substantially similar to 
each other, we use the earliest market availability date as the 
beginning of the newness period for the technologies. Accordingly, if 
we determine that Command Center is substantially similar to existing 
glycemic management systems as described previously, because they all 
were FDA market authorized prior to Command Center, the newness period 
for Command Center would have commenced even earlier than its FDA 
clearance date in 2017. We are inviting public comments on our proposal 
to disapprove new technology add-on payments for Command Center, 
including whether the technology is substantially similar to existing 
technologies and whether it meets the newness criterion.
---------------------------------------------------------------------------

    \34\ FDA, May 8, 2012, K113853 Glytec LLC 
GlucommanderTM System (https://www.accessdata.fda.gov/
scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K113853, accessed 1/2/2026).
    \35\ FDA, September 15, 2014, K141321, Glucostabilizer Insulin 
Dosing Calculator (https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K141321, accessed 1/2/2026).
    \36\ FDA, June 14, 2006, K053137 EndoToolTM Drug Dose 
Calculator (https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K053137, accessed 1/2/2026).
    \37\ FDA, April 24, 2015, K142918 EndoTool SubQTM 
(https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K142918, accessed 1/2/2026).
---------------------------------------------------------------------------

Cost Criterion
    Regarding the cost criterion, we note the following concerns with 
the cost analysis provided by the applicant. We note that the applicant 
did not remove any charges or indirect charges for prior technology. We 
are interested in additional information regarding whether Command 
Center would replace any prior technology, such as existing electronic 
glycemic management tools. We also note that the average standardized 
charges per case were not calculated according to the instructions in 
Appendix A--Standardizing Charges.\38\ Instead, the applicant 
calculated a single standardization rate factor (1.71) across all 
hospitals included in the analysis and multiplied it by the average 
charge per case (unstandardized with no case weight) for every MS-DRG 
in the analysis. In addition, we note that the final inflated case-
weighted standardized charge per case was not provided. As such, we are 
unable to determine whether the final inflated case weighted 
standardized charge per case exceeds the case weighted threshold 
amount; that is, whether Command Center meets the cost criterion for 
new technology add-on payment. We are inviting public comments on 
whether Command Center meets the cost criterion.
---------------------------------------------------------------------------

    \38\ Medicare Electronic Application Request Information System 
(MEARISTM). Resources: NTAP Appendix A Standardizing 
Charges (https://mearis.cms.gov/public/resources, accessed 1/8/
2026).
---------------------------------------------------------------------------

Substantial Clinical Improvement Criterion
    We did not receive any written comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for Command 
Center.
    After reviewing the information provided by the applicant, we have 
the following concerns regarding whether Command Center meets the 
substantial clinical improvement criterion. We note that it appears 
that the applicant submitted studies using its predicate device 
(K113853) to support its assertions as to why Command Center represents 
a substantial clinical improvement. However, the applicant did not 
present any clinical data comparing Command Center to its predicate 
device. With respect to the applicant's claims that Command Center 
offers a treatment option for patients unresponsive to, or ineligible 
for, currently available treatments, we note that the applicant 
compared its predicate device to paper-based insulin infusion 
protocol,39 40 41 intensive glucose control,\42\ and 
provider-managed insulin therapy \43\ on achieving target blood glucose 
timelier, improving clinical outcomes, and reducing resource use. 
However, we did not receive any information that identifies a patient 
population that is unresponsive to or ineligible for other available 
electronic glycemic management solutions, such as the GlucoStabilizer 
Insulin Dosing Calculator 3.0, the EndoToolTM Drug Dose 
Calculator, the EndoTool SubQTM, the EndoTool IV 1.10, and 
its own predicate device, and for which Command Center could be used.
---------------------------------------------------------------------------

    \39\ Mumpower, A; et al Glycemic Control Using eGMS and 
Readmission Rates in Cardiovascular Patients Hospitalized with AMI, 
CHF or Undergoing CABG During a System-Wide Glycemic Initiative. 
Annual Diabetes Technology Meeting. November 2016. Study was 
unpublished but presented at a national meeting poster session.
    \40\ Ponnusamy D, Piziak V, Patel S, Urbanosky R. B2-3: 
Comparative Effectiveness of a Computerized Algorithm versus a 
Physician Instituted Protocol to Manage Insulin Infusions after 
Cardiac Surgery. Clin Med Res. 2014 Sep;12(1-2):97. doi: 10.3121/
cmr.2014.1250.b2-3. PMCID: PMC4453383.
    \41\ Smiley, D; Cardona, S; Weaver, J; Register, K; Peng, L; 
Pasquel, F; Umpierrez, G. (Emory University) Hospitalization Costs, 
Resource Utilization, and Clinical Outcome in Patients Undergoing 
CABG Receiving Intensive Versus Conservative Glucose Control. 
American Diabetes Association Scientific Sessions. June 2014.
    \42\ Umpierrez G, Cardona S, Pasquel F, et al. Randomized 
Controlled Trial of Intensive Versus Conservative Glucose Control in 
Patients Undergoing Coronary Artery Bypass Graft Surgery: GLUCO-CABG 
Trial. Diabetes Care. 2015 Sep;38(9):1665-72. doi: 10.2337/dc15-
0303. Epub 2015 Jul 15. PMID: 26180108; PMCID: PMC4542267.
    \43\ Aloi J, Bode BW, Ullal J, et al. Comparison of an 
Electronic Glycemic Management System Versus Provider-Managed 
Subcutaneous Basal Bolus Insulin Therapy in the Hospital Setting. J 
Diabetes Sci Technol. 2017 Jan;11(1):12-16. doi: 10.1177/
1932296816664746. Epub 2016 Sep 25. PMID: 27555601; PMCID: 
PMC5375075.
---------------------------------------------------------------------------

    With respect to the assertion that Command Center offers the 
ability to diagnose a medical condition where it is currently 
undetectable or earlier than allowed by currently available methods, 
and that the use of Command Center to make a diagnosis affects the 
management of the patient, the applicant provided a study showing that 
patients who relied on the predicate 2012 GlucommanderTM 
device were more likely than those on standard

[[Page 19415]]

treatments to reach target blood glucose range.\44\ However, reaching 
target blood glucose is not a diagnosis, and therefore does not 
identify and provide evidence for a specific medical condition in a 
population in which the condition is currently undetectable that can be 
diagnosed by Command Center, nor how Command Center can diagnose a 
medical condition earlier than currently available technologies, such 
as other electronic glycemic management solutions. Furthermore, the FDA 
510(k) clearance covering Command Center states that it is not a 
substitute for, but rather an adjunct to clinical reasoning and that no 
medical decision should be based solely on the recommended guidance 
provided by this software program. We further note that the study did 
not indicate whether the difference between the two groups of patients 
was statistically significant.
---------------------------------------------------------------------------

    \44\ Mabrey M, Ullal J, McFarland R, et al. eGlycemic Management 
Solution Safely Achieves Prescribed Glycemic Target with a Low 
Incidence of Hypoglycemia in Patients with Acute Myocardial 
Infarction in the Hospital. American Association of Clinical 
Endocrinologists Scientific & Clinical Congress. May 2015.
---------------------------------------------------------------------------

    Similarly, with regard to the applicant's assertion that Command 
Center significantly improves clinical outcomes for a patient 
population compared to currently available treatments, we note that one 
of the two pieces of evidence provided by the applicant mentioned the 
features and functionalities of Command Center, like real-time glycemic 
insights, benchmarking, predictive analytics, and system-wide 
supporting.\45\ However, we did not receive any evidence that compared 
the clinical outcomes between Command Center and those of other 
existing technologies. The supporting evidence for these claims 
included study results on the clinical \46\ and financial \47\ effects 
of glucose control in general, and the effects of electronic glycemic 
management systems on hypoglycemia.\48\ Although the applicant claimed 
that its software has been recognized repeatedly in the community for 
its advanced,49 50 innovative approach and contribution to 
medical care, this does not correspond with a clinical outcome under 
Sec.  412.87(b)(1)(ii)(C). As a result, we are unable to determine 
whether Command Center significantly improves clinical outcomes 
relative to existing treatments.
---------------------------------------------------------------------------

    \45\ Healthcare Tech Outlook. ``Glytec Modernizing Inpatient 
Insulin Management.'' (Glytec [verbar] Top Diabetes Management 
Platform-2025.) https://www.healthcaretechoutlook.com/glytec. 
Accessed 12/12/2025.
    \46\ Mumpower (2016). op.cit.
    \47\ Smiley (2014). Op.cit.
    \48\ Rabinovich (2018). Op.cit.
    \49\ Healthcare Tech Outlook. Op.cit.
    \50\ Glytec. ``Glytec Honored as Gold Stevie[supreg] Award 
Winner in 2025 Stevie[supreg] Awards for Technology Excellence--
Glytec.'' https://glytec.com/newsroom/glytec-honored-as-gold-stevie-award-winner-in-2025-stevie-awards-for-technology-excellence/. July 
29,2025. Accessed 1/13/2026.
---------------------------------------------------------------------------

    After review of the information provided by the applicant, we are 
unable to determine that Command Center represents a substantial 
clinical improvement over existing technologies, and therefore, we are 
proposing to disapprove new technology add-on payments for Command 
Center for FY 2027.
    We are inviting public comments on whether Command Center meets the 
substantial clinical improvement criterion and our proposal to 
disapprove new technology add-on payments for Command Center for FY 
2027.
c. GAMIFANT[supreg] (emapalumab-lzsg)
    Sobi, Inc. submitted an FY 2027 application for new technology add-
on payments for GAMIFANT[supreg]. According to the applicant, 
GAMIFANT[supreg] is an interferon gamma (IFN[gamma])-blocking antibody 
that targets and neutralizes IFN[gamma] to stop the hyperinflammatory 
feedback loop of macrophage activation syndrome (MAS). Per the 
applicant, GAMIFANT[supreg] is an intravenous infusion consisting of a 
6 mg/kg loading dose or a 3 mg/kg treatment dose administered over 1 
hour. The applicant stated that in the GAMIFANT[supreg] studies, adults 
received 10 infusions (1 loading dose of 6 mg/kg and 9 treatment doses 
of 3 mg/kg) over a median 29 days in the inpatient setting. We note 
that the applicant is seeking new technology add-on payments for 
GAMIFANT[supreg] for its indication for the treatment of adult and 
pediatric (newborn and older) patients with hemophagocytic 
lymphohistiocytosis (HLH)/MAS in known or suspected Still's disease, 
including systemic Juvenile Idiopathic Arthritis (sJIA), with an 
inadequate response or intolerance to glucocorticoids, or with 
recurrent MAS.\51\
---------------------------------------------------------------------------

    \51\ In 2018, FDA granted GAMIFANT[supreg] approval under a BLA 
application for the treatment of adult and pediatric (newborn and 
older) patients with primary HLH with refractory, recurrent, or 
progressive disease or intolerance with conventional therapy.
---------------------------------------------------------------------------

    The following table provides an overview of the new technology add-
on payment application for GAMIFANT[supreg] and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP250926GGG85.
BILLING CODE 4120-01-P

[[Page 19416]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.079

ICD-10 Coding
    After review of the information provided by the applicant, we 
believe the relevant ICD-10-CM diagnosis codes to identify the 
indication of the treatment of adult and pediatric (newborn and older) 
patients with HLH/MAS in known or suspected Still's disease, including 
sJIA, with an inadequate response or intolerance to glucocorticoids, or 
with recurrent MAS are:

[[Page 19417]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.080

BILLING CODE 4120-01-C
    We are inviting public comments on the use of these ICD-10-CM 
diagnosis codes to identify this indication for purposes of the new 
technology add-on payment, if approved.
Newness Criterion
    Regarding substantial similarity, based on the information 
available at the time of this proposed rule, we agree with the 
applicant that GAMIFANT[supreg] has a new mechanism of action and 
treats a new type of disease or patient population compared to existing 
technology, because it is the only FDA-approved treatment for HLH/MAS 
in known or suspected Still's disease. We note that the applicant did 
not provide an explanation for why GAMIFANT[supreg] would not map to 
the same MS-DRGs as other therapies for HLH/MAS in Still's disease. 
Therefore, based on information available at the time of this proposed 
rule, we believe that GAMIFANT[supreg] is not substantially similar to 
existing technology and meets the newness criterion. We consider the 
beginning of the newness period to commence on June 27, 2025, the date 
on which GAMIFANT[supreg] received FDA market authorization for this 
indication.
    We are inviting public comments on whether GAMIFANT[supreg] is 
substantially similar to existing technologies and whether 
GAMIFANT[supreg] meets the newness criterion.
Cost Criterion
    Regarding the cost criterion, we agree with the applicant that the 
technology meets the cost criterion. We are inviting public comments on 
whether GAMIFANT[supreg] meets the cost criterion.
Substantial Clinical Improvement Criterion
    We did not receive any written comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for 
GAMIFANT[supreg].
    After review of the information provided by the applicant, we have 
the following concerns regarding whether GAMIFANT[supreg] meets the 
substantial clinical improvement criterion. The applicant asserted 
GAMIFANT[supreg] offers a treatment option for a patient population 
unresponsive to, or ineligible for, currently available treatments 
since GAMIFANT[supreg] is the first and only FDA-approved treatment for 
HLH/MAS in known or suspected Still's disease with an inadequate 
response or intolerance to glucocorticoids, or with recurrent MAS. 
However, we question whether GAMIFANT[supreg] offers a treatment option 
for patients unresponsive to, or ineligible for, currently available 
treatments, because several second- and third-line therapies, including 
cyclosporine, etoposide, anakinra, and intravenous immunoglobulin, can 
also treat patients with an inadequate response or intolerance to 
glucocorticoids or with recurrent MAS.52 53 54 55
---------------------------------------------------------------------------

    \52\ Shakoory B, et al. The 2022 EULAR/ACR points to consider at 
the early stages of diagnosis and management of suspected 
haemophagocytic lymphohistiocytosis/macrophage activation syndrome 
(HLH/MAS). Ann Rheum Dis. 2023;82(10):1271-1285.
    \53\ Hines MR, et al. Consensus-based guidelines for the 
recognition, diagnosis, and management of hemophagocytic 
lymphohistiocytosis in critically ill children and adults. Crit Care 
Med. 2022;50(5):860-872.
    \54\ Baldo F, et al. Current treatment in MAS worldwide: a 
systematic literature review to inform the METAPHOR project. 
Rheumatology (Oxford). 2025, 64, 32-44.
    \55\ Minoia F, et al. Clinical features, treatment, and outcome 
of macrophage activation syndrome complicating systemic juvenile 
idiopathic arthritis, a multinational, multicenter study of 362 
patients. Arthritis Rheumatol. 2014;81(2);112-117.
---------------------------------------------------------------------------

    Furthermore, we are unable to assess the applicant's assertion that 
GAMIFANT[supreg] significantly improves clinical outcomes relative to 
other available services or technologies without a comparison of 
outcomes to other therapies for patients with an inadequate response or 
intolerance to glucocorticoids or with recurrent MAS. In addition, 
while the applicant stated that GAMIFANT[supreg] achieves substantially 
improved clinical outcomes with a clear and positive benefit:risk 
profile in treating HLH/MAS patients who had an inadequate response to 
glucocorticoids and that GAMIFANT[supreg] initiation results in a 
clinically meaningful reduction of glucocorticoid dosing and 
contributes to the positive benefit:risk profile for the treatment of 
patients with HLH/MAS, we question whether having a positive 
benefit:risk profile is a relevant outcome under Sec.  
412.87(b)(1)(ii)(C) because it does not address how GAMIFANT[supreg] 
improves clinical outcomes relative to other therapies that may be used 
to treat HLH/MAS patients who had an inadequate response to 
glucocorticoids or with recurrent MAS.
    We also note that to support its assertion regarding improved 
clinical outcomes, the applicant provided results from two clinical 
studies, NI-0501-06 and NI-0501-14. We note that all patients in the 
studies responded inadequately to high-dose

[[Page 19418]]

glucocorticoids prior to study treatment, and providers would typically 
initiate other second- and third-line therapies in this patient 
population. While the applicant claimed GAMIFANT[supreg] reduces 
glucocorticoid dosing, it is unclear whether GAMIFANT[supreg] 
significantly reduces glucocorticoid dosing compared to other therapies 
that may be used in these patients. In addition, some therapies used 
for MAS in Still's disease such as anakinra and cyclosporine were 
allowed during these studies and could have affected the outcomes, and 
thus, we are unclear how these studies support the assertion of 
improved outcomes relative to other available treatments.
    While the applicant claims a positive benefit:risk profile for 
GAMIFANT[supreg], the submitted clinical information does not clearly 
explain how it was determined whether serious adverse events were 
related to GAMIFANT[supreg], nor does it provide sufficient detail on 
the reported serious adverse events. Specifically, we note that while 
De Benedetti et al. (2023) states that there were 9 serious adverse 
events in NI-0501-06 and the long-term follow-up, which appear to 
include one cytomegalovirus reactivation, one SJIA flare, one edema of 
the ankle, one MAS episode, one cardiopulmonary failure, and one severe 
neutropenia, it is unclear what the other three reactions were and 
which were related to GAMIFANT[supreg]. Grom et al. (2025) also stated 
there were 7 serious adverse events in NI-0501-14, but it is unclear 
what these events were and which were related to GAMIFANT[supreg].
    Furthermore, we would appreciate more detail on the visual analogue 
scale (VAS) scoring system used in the clinical trials in order to 
fully assess the efficacy outcome data. We also note that the long-term 
clinical trials included up to 12 months of follow-up, and we question 
if this is enough time to assess for MAS recurrence.
    After review of the information provided by the applicant, we are 
unable to determine whether GAMIFANT[supreg] represents a substantial 
clinical improvement over existing technologies, and therefore, we are 
proposing to disapprove new technology add-on payments for 
GAMIFANT[supreg] for FY 2027.
    We are inviting public comments on whether GAMIFANT[supreg] meets 
the substantial clinical improvement criterion and our proposal to 
disapprove FY 2027 new technology add-on payments for GAMIFANT[supreg].
d. Orca-T
    Orca Bio submitted an FY 2027 application for new technology add-on 
payments for Orca-T. According to the applicant, Orca-T is an 
allogeneic stem cell and T-cell immunotherapy derived from a human 
leukocyte antigen (HLA)-matched donor for the curative treatment of 
hematologic malignancies, including acute myeloid leukemia (AML), acute 
lymphoblastic leukemia (ALL), high-risk myelodysplastic syndrome (MDS), 
and mixed-phenotype acute leukemia (MPAL), in adults. Orca-T is 
administered as four single-dose, patient-specific infusions composed 
of purified hematopoietic stem and progenitor cells (HSPC), regulatory 
T cells (Treg), and conventional T cells (Tcon) along with a diluent 
from an HLA-matched donor blood apheresis product.
    The following table provides an overview of the new technology add-
on payment application for Orca-T and CMS's preliminary assessment. For 
additional details provided by the applicant, please refer to the 
online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251003TH4EH.
[GRAPHIC] [TIFF OMITTED] TP14AP26.081


[[Page 19419]]


Newness Criterion
    Regarding substantial similarity, the applicant stated that Orca-T 
does not have the same or similar mechanism of action as any therapies 
that are currently used in potentially curative hematologic malignancy 
treatments mapped to Pre-MDC MS-DRG 018 (Chimeric Antigen Receptor 
[CAR] T-cell and Other Immunotherapies). While the applicant asserted 
that Orca-T's engineered product is novel in composition of HSPC, Treg, 
and Tcon fractions derived from an allograft and administered in a 
specific sequence, we note that the cell lines isolated in Orca-T 
already exist in an unmanipulated allograft administered as part of an 
allogeneic hematopoietic stem cell transplantation (alloHSCT) after 
cytoreductive conditioning. However, we agree with the applicant that 
Orca-T is not substantially similar to alloHSCT because it maps to a 
different MS-DRG than alloHSCTs, which are mapped to Pre-Major 
Diagnostic Category (MDC) MS-DRG 014 (Allogeneic Bone Marrow 
Transplant). Therefore, based on information available at the time of 
this proposed rule, we believe that Orca-T is not substantially similar 
to existing technologies and meets the newness criterion. We are 
inviting public comments on whether Orca-T is substantially similar to 
existing technologies and whether Orca-T meets the newness criterion.
Cost Criterion
    Regarding the cost criterion, we agree with the applicant that the 
technology meets the cost criterion. We are inviting public comments on 
whether Orca-T meets the cost criterion.
Substantial Clinical Improvement Criterion
    Regarding substantial clinical improvement, we received a public 
comment in response to the New Technology Town Hall meeting notice 
published in the Federal Register regarding the substantial clinical 
improvement criterion for Orca-T, which we are summarizing in this 
section.
    Comment: A commenter submitted a public comment regarding whether 
Orca-T meets the substantial clinical improvement criterion, stating 
that CMS should prioritize measurable, reproducible, and auditable 
clinical improvement rather than narrative claims alone in assessing 
substantial clinical improvement. The commenter stated that, where 
possible, substantial clinical improvement determinations should be 
supported by standardized episode definitions, clearly described 
patient selection and comparators, and outcome measures, such as 
complications, length of stay, and readmissions, that can be 
independently reproduced across sites. In addition, the commenter 
emphasized that it may be especially important that claimed 
improvements are supported by reproducible episode definitions, clearly 
documented eligibility and protocol criteria, and integrity-preserving 
audit trails that can be independently reviewed when decision support 
(including AI-assisted decision support) is used for patient selection. 
The commenter also recommended that CMS give greater weight to 
submissions that provide traceable evidence linkage from claimed 
improvements back to underlying data and protocol definitions to 
improve consistency and transparency. The commenter suggested that this 
would help ensure that new technology add-on payments recognize 
technologies delivering clinically meaningful and verifiable 
improvements in real-world inpatient care.
    Response: We thank the commenter for the comment. After review of 
the information provided by the applicant and the public comment 
received in response to the New Technology Town Hall meeting, we have 
the following concerns regarding whether Orca-T meets the substantial 
clinical improvement criterion.
    We are concerned about the lack of technology-specific evidence in 
support of the applicant's assertion that Orca-T provides a treatment 
option for patients unresponsive to, or ineligible for, currently 
available treatments. The applicant claimed that Orca-T is favorable to 
patients at risk of severe toxicities and mortality with standard of 
care (SoC) alloHSCT. We note that the supporting evidence for this 
claim is comprised of background literature about the impact of graft-
versus-host disease (GVHD) on patients with hematologic malignancies in 
general, but does not identify a patient population that is 
unresponsive to, or ineligible for, alloHSCT, nor does it demonstrate 
that Orca-T can treat such a patient population. We remain unclear if 
there is a group of patients who can be treated with Orca-T, but cannot 
receive existing treatments for hematologic malignancies such as 
alloHSCT, CAR T-cell therapies, and chemotherapies.
    We are also concerned that we are unable to assess whether Orca-T 
significantly improves clinical outcomes relative to services or 
technologies previously available without evidence comparing outcomes 
for Orca-T to other therapies available for patients with hematologic 
malignancies, including CAR T-cell therapies. While the evidence 
compared Orca-T to conventional MAC-alloHSCT approaches using standard 
GVHD prophylaxis regimens, it did not include comparisons to other 
therapeutic modalities such as CAR-T cell therapies which are available 
for the treatment of patients with hematologic malignancies and may not 
be associated with the risk of GVHD. We also note that the supporting 
evidence for this claim does not include comparisons to other treatment 
options used in this patient population outside the unmanipulated allo-
HSCT setting, such as chemotherapies, nor does it compare the effects 
of Orca-T with reduced-toxicity or reduced-intensity conditioning on 
regimen-related toxicity and other clinical outcomes. As a result, we 
question whether Orca-T results in improved clinical outcomes relative 
to existing hematologic malignancy treatments.
    We are inviting public comments on whether Orca-T meets the 
substantial clinical improvement criterion.
e. RAPIBLYKTM (landiolol)
    AOP Health US LLC submitted a FY 2027 application for new 
technology add-on payments for RAPIBLYKTM. According to the 
applicant, RAPIBLYKTM is a beta-1 ([beta]1) adrenergic 
blocker that inhibits adrenaline and noradrenaline's effects on the 
heart for short-term reduction of ventricular rate in adults with 
supraventricular tachycardia (SVT), including atrial fibrillation (AF) 
and atrial flutter (AFL). RAPIBLYKTM is supplied as a 280 mg 
lyophilized powder in a single-dose vial (equivalent to 300 mg of 
landiolol HCl) and, following reconstitution, is administered as a 
continuous intravenous infusion titrated according to ventricular 
rate.\56\ The applicant stated that during an inpatient stay, the 
average patient requires five RAPIBLYKTM vials.
---------------------------------------------------------------------------

    \56\ AOP Orphan Pharmaceuticals. (2024, November). RAPIBLYK 
(landiolol) for injection, for intravenous use: highlights of 
prescribing information. https://www.accessdata.fda.gov/drugsatfda_docs/label/2024/217202s000lbl.pdf.
---------------------------------------------------------------------------

    The following table provides an overview of the new technology add-
on payment application for RAPIBLYKTM and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251006EVR3D.

[[Page 19420]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.082

Newness Criterion
    Regarding commercial availability, the applicant stated that, after 
its NDA approval on November 22, 2024, RAPIBLYKTM was not 
immediately for sale and became commercially available on July 21, 
2025, because the applicant needed to work through a number of time-
intensive steps to facilitate U.S. commercial launch, including 
establishing a new entity for U.S. operations, identifying and 
contracting with a third-party logistics vendor and distributor, and 
identifying and contracting with wholesalers and group purchasing 
organizations. We are interested in additional information regarding 
the cause of the delay in commercial availability.
    Regarding substantial similarity, we disagree with the applicant 
that RAPIBLYKTM uses a different mechanism of action 
compared to existing heart rate control technologies. Per the 
applicant, RAPIBLYKTM directly blocks [beta]1-adrenergic 
receptors on cardiac myocytes preventing catecholamine-induced 
increases in heart rate and conduction velocity. According to the 
applicant, unlike traditional beta blockers that rely on hepatic 
metabolism, have 3- to 12-hour half-lives, and exhibit lower 
[beta]1/[beta]2 selectivity ratios, 
RAPIBLYKTM is rapidly hydrolyzed by tissue and plasma 
esterases, yielding an ultra-short half-life of approximately 3 to 4 
minutes without requiring hepatic clearance, and demonstrates an 
exceptionally high [beta]1/[beta]2 selectivity 
ratio. While we recognize that RAPIBLYKTM is metabolized and 
cleared differently compared to other beta blockers, we do not believe 
that this constitutes a unique mechanism of action because 
RAPIBLYKTM, like other beta blockers, blocks [beta]1-
adrenergic receptors, reducing sympathetic stimulation.
    Additionally, we disagree with the applicant that 
RAPIBLYKTM treats a new patient population or disease 
compared to existing technology because there are other beta blockers, 
such as esmolol, that are FDA-approved for the treatment of adults with 
SVT, including AF and AFL. According to the applicant, 
RAPIBLYKTM is uniquely suited to resolve acute AF in a 
patient population with impaired cardiac function and hemodynamic 
instability because it is designed to safely manage tachyarrhythmias in 
patients with hemodynamic instability and hypotension. However, we note 
that other therapies, such as esmolol, can also be used to treat acute 
AF patients with impaired cardiac function. While the applicant stated 
that in RAPIBLYKTM's prescribing label, a dosing regimen is 
included for patients with impaired cardiac function, we note that the 
absence of a dosing regimen for cardiac impairment in the prescribing 
label \57\ for esmolol does not preclude the use of this drug in this 
patient population. Furthermore, in regards to the applicant's claim 
that RAPIBLYKTM can be used in acute AF patients with 
hemodynamic instability, we note that according to both prescribing 
labels, esmolol and RAPIBLYKTM have the same 
contraindications for use in patients with hemodynamic instability, 
including those with severe sinus bradycardia, heart block greater than 
first degree, sick sinus syndrome, decompensated heart failure, and 
cardiogenic shock. While the applicant made several statements related 
to RAPIBLYKTM's dosing regimen, safety profile, and 
suitability for cardiac impaired patients, we believe this is relevant 
to the assessment of substantial clinical improvement, rather than of 
newness. We did not receive evidence identifying a new patient 
population or type of disease which RAPIBLYKTM treats that 
cannot be treated with existing technologies such as esmolol, 
amiodarone, or digoxin.
---------------------------------------------------------------------------

    \57\ WG Critical Care, LLC. (1986, December). Esmolol 
hydrochloride in water for injection, for intravenous use: 
highlights of prescribing information. https://www.accessdata.fda.gov/drugsatfda_docs/label/2024/205703s003lbl.pdf.
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    Accordingly, as it appears that RAPIBLYKTM and esmolol 
may use the same or similar mechanism of action to achieve a 
therapeutic outcome, are assigned to the same MS-DRG, and treat the 
same or similar patient population and disease, that is, adult patients 
with SVT including AF and AFL, we believe that these technologies are 
substantially similar to each other.
    We note that, per our policy, if technologies are substantially 
similar to each other, we use the earliest market availability date as 
the beginning of the

[[Page 19421]]

newness period for the technologies. Accordingly, if we determine that 
RAPIBLYKTM is substantially similar to esmolol, we believe 
the newness period for RAPIBLYKTM would begin on December 
31, 1986, the date esmolol received FDA approval. Since esmolol has 
been on the U.S. market since 1986, the 3-year anniversary date of its 
entry onto the market occurred prior to FY 2027. Therefore, 
RAPIBLYKTM would not be considered new and would be 
ineligible for new technology add-on payments for FY 2027.
    We are inviting public comments on whether RAPIBLYKTM is 
substantially similar to existing technologies and whether 
RAPIBLYKTM meets the newness criterion.
Cost Criterion
    Regarding the cost criterion, we agree with the applicant that the 
technology meets the cost criterion. We are inviting public comments on 
whether RAPIBLYKTM meets the cost criterion.
Substantial Clinical Improvement Criterion
    Regarding substantial clinical improvement, we also received a few 
public comments in response to the New Technology Town Hall meeting 
notice published in the Federal Register regarding the substantial 
clinical improvement criterion for RAPIBLYKTM, which we are 
summarizing in this section.
    Comment: The applicant submitted a comment in response to the New 
Technology Town Hall meeting. With regard to a question on which high-
risk population with AF is not well-managed by other beta blockers, the 
applicant stated that, based on Koukoulitsios et al. (2025) and the 
2023 AF Consensus Guidelines, this refers to patients with impaired 
cardiac output, specifically those with an ejection fraction below 40 
percent, as described in its application.58 59 The applicant 
also submitted one study in addition to its comment letter while 
discussing two other studies to support RAPIBLYKTM's 
substantial clinical improvement.60 61 62 The applicant 
submitted Dizdarevic et al. (2025), a multicenter, prospective 
observational study of 450 European patients with SVTs, including AF 
and AFL, requiring acute rate control treated with 
RAPIBLYKTM across intensive care units (ICUs), emergency 
departments, and general wards to support its claim that 
RAPIBLYKTM provides a new, effective heart rate control 
option for acute AF patients with significant comorbidities, including 
chronic heart failure (CHF) and renal impairment. Per the applicant, 
the authors defined subgroups by arrhythmia type, comorbidities (such 
as sepsis or acute myocardial infarction), and concomitant 
interventions. According to the applicant, the primary endpoints 
included RAPIBLYKTM utilization patterns, such as infusion 
duration, dosing, and the route of administration (central or 
peripheral venous access). The applicant stated that the secondary 
endpoints included time to heart rate control, sinus rhythm 
restoration, need for cardioversion, blood pressure effects, ICU and 
hospital length of stay (LOS), and safety outcomes, such as adverse 
events (AEs), serious AEs (SAEs), and major adverse cardiovascular 
events (MACEs). As reported by the applicant, Dizdarevic et al. (2025) 
showed that 74.2 percent of patients receiving RAPIBLYKTM 
achieved heart rate control within 4 hours of discontinuation. Per the 
applicant, the median heart rate at the end of RAPIBLYKTM 
infusion was 100 beats per minute (bpm), with statistically significant 
reductions compared to baseline (p < 0.001) across all arrhythmia 
subgroups. The applicant also stated that patients' blood pressure 
generally remained stable throughout treatment, with no clinically 
meaningful changes in systolic or diastolic values, and that study 
showed favorable safety outcomes: AEs occurred in 17.6 percent of 
patients, but only 2.0 percent experienced hypotension and only 1 case 
reported bradycardia. Per the applicant, none of the AEs or MACEs were 
attributed to RAPIBLYKTM treatment, and only 6 patients (1.3 
percent) discontinued therapy due to AEs.
---------------------------------------------------------------------------

    \58\ Koukoulitsios G, Tsikritsaki K, Magklaras G, Koutivas AM, 
Kalogeromitros A, Papaioannou V. Comparison of Landiolol and Esmolol 
on Haemodynamic Responses During Weaning of Intensive Care Unit 
Patients with Reduced Ejection Fraction after Vascular Surgery. Card 
Fail Rev. 2025 May 21;11:e13. https://doi.org/10.15420/cfr.2024.18.
    \59\ Cafaro T, Allwood M, McIntyre WF, Park LJ, Daza J, Ofori 
SN, Ke Wang M, Borges FK, Conen D, Marcucci M, Healey JS, Whitlock 
RP, Lamy A, Belley-C[ocirc]t[eacute] EP, Spence JD, McGillion M, 
Devereaux PJ. Landiolol for the prevention of postoperative atrial 
fibrillation after cardiac surgery: a systematic review and meta-
analysis. Can J Anaesth. 2023 Nov;70(11):1828-1838. https://doi.org/10.1007/s12630-023-02586-0.
    \60\ Dizdarevic, A.-M., [Scaron]ramko, M., Mangner, N., Merkely, 
B., Zima, E., Nikolaos, N., Scherr, D., Knotzer, J., 
K[ouml]glberger, P., Nouvaki, Z., Martinek, M., Hnat, T., Bethlehem, 
C., Fras, Z., Go[zacute]dzik, W., Kotanidou, A., D[aogon]browski, 
W., Lesiak, M., Stefanska-Wronka, K., . . . Siller-Matula, J. 
(2025). A multicentre observational study on landiolol use, 
efficacy, and safety in European patients with supraventricular 
arrhythmia (Landi-UP). European Heart Journal: Acute Cardiovascular 
Care. Advance online publication. https://doi.org/10.1093/ehjacc/zuaf129.
    \61\ Floria, M., Oancea, A. F., Morariu, P. C., Burlacu, A., 
Iov, D. E., Chiriac, C. P., Baroi, G. L., Stafie, C. S., Cuciureanu, 
M., Scripcariu, V., & Tanase, D. M. (2024). An overview of the 
pharmacokinetics and pharmacodynamics of landiolol (an ultra-short 
acting [beta]1 selective antagonist) in atrial fibrillation. 
Pharmaceutics, 16(4), 517. https://doi.org/10.3390/pharmaceutics16040517.
    \62\ Perrett, M., Gohil, N., Tica, O., Bunting, K. V., & 
Kotecha, D. (2024). Efficacy and safety of intravenous beta-blockers 
in acute atrial fibrillation and flutter is dependent on beta-1 
selectivity: A systematic review and meta-analysis of randomised 
trials. Clinical Research in Cardiology, 113(6), 831-841. https://doi.org/10.1007/s00392-023-02295-0.
---------------------------------------------------------------------------

    The applicant also discussed a review article that was already 
submitted (Floria et al., 2024) to support its claims that 
RAPIBLYKTM is effective in reducing the incidence of 
postoperative atrial fibrillation (POAF) in cardiac surgery patients. 
According to the applicant, this review provided a comprehensive 
overview of RAPIBLYKTM, including its pharmacology, clinical 
applications, efficacy, safety profile, and future directions in 
research and clinical data. Per the applicant, as described in Floria 
et al. (2024),\33\ in the randomized, double-blind, placebo-controlled 
PASCAL trial, coronary artery bypass grafting (CABG) patients who 
received RAPIBLYKTM infusion had AF incidence of 5 percent 
compared to 34.3 percent for placebo (p = 0.0006), along with 
reductions in inflammatory and ischemic biomarkers. Per the applicant, 
similarly, the PLATON study of 60 patients with left ventricular 
ejection fraction below 35 percent who had cardiac surgery performed 
with cardiopulmonary bypass found AF in only 10 percent of the 
RAPIBLYKTM group compared to 40 percent of controls (p = 
0.002), along with improved brain natriuretic peptide levels, ischemic 
biomarkers, and shorter hospital stays. According to the applicant, 
across these trials, inclusion criteria focused on patients undergoing 
major cardiac surgery, with some studies targeting elderly populations 
or those with reduced ventricular function, while exclusion criteria 
involved contraindications to beta blockers, such as severe bradycardia 
or advanced heart block. The applicant stated that endpoints 
consistently measured AF incidence, biomarker changes, and safety 
outcomes. Per the applicant, results were statistically significant, 
confirming that RAPIBLYKTM not only reduces POAF but also 
improves perioperative biomarker profiles and clinical outcomes. The 
applicant stated that its rapid onset, short half-life, and high 
cardioselectivity make RAPIBLYKTM a safe and effective 
option for perioperative heart rate control,

[[Page 19422]]

particularly in critically ill patients or those with compromised 
cardiac function. According to the applicant, these trials also show 
improved outcomes beyond rhythm control, including reductions in 
inflammatory and ischemic biomarkers, shorter hospital stays, and 
better tolerance in compromised cardiac patients. The applicant stated 
that, taken together, this evidence supports the claim that 
RAPIBLYKTM offers superior AF prevention and outcome 
benefits compared to other heart rate control therapies.
    In addition, the applicant discussed Perrett et al. (2024), a 
systematic review and meta-analysis evaluating the efficacy and safety 
of intravenous (IV) beta blockers in acute AF and AFL, focusing on the 
role of [beta]-1 receptor selectivity, to support its claim that 
RAPIBLYKTM offers a new heart rate control option for acute 
AF patients, including those with CHF and renal impairment. According 
to the applicant, across 12 randomized controlled trials with 1,152 
patients, the study found that: (1) overall, non-selective IV beta 
blockers were not superior to other pharmacological agents for heart 
rate control or conversion to sinus rhythm, but (2) outcomes varied 
significantly depending on the degree of beta-1 selectivity, with 
RAPIBLYKTM having superior clinical results and the highest 
beta-1 selectivity. The applicant stated that, in this analysis, a 
total of 1,152 adult patients were included, with 526 receiving IV beta 
blockers and 626 receiving comparators such as diltiazem, digoxin, 
verapamil, flecainide, ibutilide, or placebo. Per the applicant, the 
patient population had a mean age of 62.4 years, 38 percent were women, 
and the baseline heart rate averaged 137 bpm. The applicant stated that 
most patients had AF (78 percent), with 11 percent having AFL. The 
study's inclusion criteria required adults (>=18 years) with AF/AFL 
needing acute treatment, typically with ventricular rate >=100 bpm. 
According to the applicant, exclusion criteria included obstructive 
lung disease, recent anti-arrhythmic use, prophylactic therapy, or 
arrhythmias other than AF/AFL. The applicant stated that the primary 
endpoints were heart rate reduction and proportion achieving target 
heart rate, and the secondary endpoints included conversion to sinus 
rhythm, need for electrical cardioversion, blood pressure changes, AEs 
(hypotension, bradycardia, leading to drug discontinuation), time to 
discharge, and mortality. Per the applicant, Perrett et al. (2024) did 
not show statistically significant difference between beta blockers and 
comparators for heart rate reduction (standardized mean difference -
0.65 bpm, p = 0.19) or achieving the target heart rate (relative risk 
0.85, p = 0.70). The applicant stated subgroup analysis revealed, 
however, that (1) conventional selective beta-1 blockers, metoprolol 
and esmolol, were inferior to diltiazem (relative risk 0.33, p < 
0.001), and (2) RAPIBLYKTM was superior to digoxin/diltiazem 
(relative risk 1.98, p < 0.001). According to the applicant, safety 
outcomes indicated no overall difference in hypotension (relative risk 
1.85, p = 0.11) or bradycardia (relative risk 1.29, p = 0.76) compared 
to controls. The applicant stated that, while non-selective beta 
blockers were associated with significantly more hypotension (p < 
0.001) and bradycardia (p = 0.003), RAPIBLYKTM did not 
increase AEs. According to the applicant, this meta-analysis 
demonstrated that RAPIBLYKTM improved outcomes compared to 
conventional agents like diltiazem or digoxin (as well as non-selective 
beta blockers) for acute AF and AFL, achieving superior heart rate 
control without increasing hypotension or bradycardia. The applicant 
stated these findings directly support that RAPIBLYKTM 
offers a valuable new option for patients with AF who also have 
comorbidities such as CHF or renal impairment, where tolerability and 
safety are critical.
    A few commenters expressed support for new technology add-on 
payments for RAPIBLYKTM by asserting that there is a 
population for whom RAPIBLYKTM is a more appropriate 
treatment option than other beta blockers. Two clinicians stated their 
belief that improved access to RAPIBLYKTM would benefit 
critically ill patients who previously had no viable alternatives. The 
commenters stated that RAPIBLYKTM has been available in 
Japan and the European Union for years and that its ultra-selective 
beta-1 blockade provides effective heart rate control with minimal 
impact on blood pressure, vascular tone, or bronchial tone, enabling 
safe use in patients with impaired cardiac contractility, renal 
dysfunction, or advanced heart failure. The commenters also stated that 
RAPIBLYKTM's rapid onset of action, titratability, and 
ultra-short half-life and ultra-high selectivity for beta-1 cardio-
receptors have been shown to effectively lower heart rate and allows 
for precise control and efficacy evaluation in the ICU environment, 
where patients are highly susceptible to adverse drug effects.
    A few commenters asserted that RAPIBLYKTM can treat a 
different patient population compared to other heart rate control 
drugs, including other beta blockers, as it has demonstrated effective 
management of tachyarrhythmias, even in patients with impaired cardiac 
function or at risk of hemodynamic instability or hypotension. The 
commenters reiterated evidence submitted in the application 
(Koukoulitsios et al., 2025; Cafaro et al., 2023; Si et al., 2025) and 
asserted that, based on their clinical experience, there is a clear gap 
in available and effective heart rate control therapies for these high-
risk patient subgroups,\63\ including use in critically ill patients, 
who have shown improved outcomes even compared to other selective beta 
blockers such as esmolol. The commenters noted that Si et al. (2025) 
showed that patients in the RAPIBLYKTM group experienced a 
shorter hospital LOS and a shorter ICU stay, including in the elderly 
cohort (>=65 years old), than patients in the esmolol group. One 
commenter stated current options often lack the safety and efficacy 
needed for rapid rate control in unstable patients and asserted that 
there is a great unmet need for RAPIBLYKTM, particularly for 
his patients with heart failure with reduced ejection fraction and/or 
shock, where traditional beta blockers pose substantial risks. One 
commenter stated that current consensus guidelines recommend beta 
blockers or calcium channel blockers, but these agents are often 
contraindicated in ICU patients due to risk of hypotension or for 
patients with impaired cardiac function, while other alternatives, such 
as amiodarone or digoxin, are limited by toxicities, poor efficacy in 
high adrenergic states, or unfavorable pharmacokinetics. Another 
commenter stated that experience with RAPIBLYKTM outside the 
U.S. has demonstrated the benefits of its use in this patient 
population, with the European Society of Cardiology (ESC) 2024 
Guidelines for the Management of AF stating that RAPIBLYKTM 
safely controls rapid AF in patients with low ejection fraction with 
minimal impact on contractility or blood pressure.\64\ The

[[Page 19423]]

commenter cited the RAPIBLYKTM prescribing information, 
which contains specific dosing instructions for patients with impaired 
cardiac function, stating that 5 randomized, double-blind, placebo-
controlled studies, which included treatment of 317 adults with SVT, 
showed that within 10 minutes, patients treated with 
RAPIBLYKTM had a decreased heart rate of 40 to 90 percent 
compared to 0 to 11 percent for patients treated with placebo.\65\ 
According to the commenter, the availability of RAPIBLYKTM 
would allow him to stabilize these patients quickly and safely, 
improving outcomes in the most vulnerable population.
---------------------------------------------------------------------------

    \63\ Si X, Yuan H, Shi R, Song W, Guo J, Jiang J, Yang T, Ma X, 
Wang H, Chen M, Wu J, Guan X, Monnet X. Comparison of the efficacy 
and safety of Landiolol and Esmolol in critically ill patients: a 
propensity score-matched study. Ann Intensive Care. 2025 Jan 
12;15(1):5. https://doi.org/10.1186/s13613-024-01418-8.
    \64\ Van Gelder, IC et al., 2024 ESC Guidelines for the 
management of atrial fibrillation developed in Collaboration with 
the European Association for Cardio-Thoracic Surgery (EACTS), EURO. 
HEART J. 00, 1-101. https://doi.org/10.1093/eurheartj/ehae176.
    \65\ AOP Orphan Pharmaceuticals. (2024 November). RAPIBLYK 
(landiolol) for injection, for intravenous use: Highlights of 
Prescribing Information. https://www.accessdata.fda.gov/drugsatfda_docs/label/2024/217202s000lbl.pdf.
---------------------------------------------------------------------------

    Response: We thank the applicant and commenters for their comments. 
After review of the information provided by the applicant and the 
public comments received in response to the New Technology Town Hall 
meeting, we have the following concerns regarding whether 
RAPIBLYKTM meets the substantial clinical improvement 
criterion.
    While the applicant asserted that RAPIBLYKTM offers a 
treatment option for patients unresponsive to, or ineligible for, 
currently available treatments because it offers a new heart rate 
control option for patients with acute AF and additional co-
morbidities, including CHF and renal impairment, we note that we did 
not receive evidence to identify a patient population that is 
unresponsive to, or ineligible for, currently available treatments. 
Although the applicant claimed that the use of non-selective beta 
blockers and calcium channel blockers for rate control are ineffective 
or contraindicated in high risk patients, which the applicant defined 
as those with an ejection fraction (EF) less than 40 percent, we note 
that beta blockers, including esmolol, a selective beta-1 adrenergic 
blocker, are not specifically contraindicated for use in patients with 
an EF less than 40 percent. According to the 2023 Guideline for the 
Diagnosis and Management of AF \66\ provided by the applicant, patients 
with an EF less than 40 percent can receive beta blockers, amiodarone, 
and digoxin for rate control. Additionally, the applicant cited Eslami 
et al. (2021),\67\ a prospective study from 2018 to 2020 consisting of 
87 patients with HF or AF with underlying chronic kidney dysfunction 
which observed that there was a significant relationship between 
Glomerular Filtration Rate (GFR) and serum digoxin concentration. 
However, we note that this is not a contraindication to the use of 
digoxin and that a dose reduction \68\ would be recommended.
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    \66\ Joglar JA, Chung MK, Armbruster AL, Benjamin EJ, Chyou JY, 
Cronin EM, Deswal A, Eckhardt L, Goldberger ZD, Gopinathannair R, 
Gorenek B, Hess PL, Hlatky M, Hogan G, Ibeh C, Indik JH, Kido K, 
Kusumoto F, Link MS, Linta KT, Marcus GM, McCarthy PM, Patel N, 
Patton KK, Perez MV, Piccini JP, Russo AM, Sanders P, Streur MM, 
Thomas KL, Times S, Tisdale JE, Valente AM, Van Wagoner DR. 2023 
ACC/AHA/ACCP/HRS guideline for the diagnosis and management of 
atrial fibrillation: a report of the American College of Cardiology/
American Heart Association Joint Committee on Clinical Practice 
Guidelines. Circulation. 2024;149:e1-e156. https://doi.org/10.1161/CIR.0000000000001193.
    \67\ Eslami V, Mortezapour F, Samavat S, Ziae S, Gheymati A 
(2021) Evaluating plasma Digoxin concentration after an intravenous 
loading dose in patients with renal failure. Arch Clin Nephrol 7(1): 
033-037. https://dx.doi.org/10.17352/acn.
    \68\ Concordia Pharmaceuticals Inc. Prescribing information for 
Lanoxin (digoxin) injection, for intravenous or intramuscular use; 
2025. (Revised 10/2025). Available at: https://www.accessdata.fda.gov/drugsatfda_docs/label/2025/009330s040lbl.pdf.
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    Regarding the assertion that RAPIBLYKTM significantly 
improves clinical outcomes relative to services or technologies 
previously available, we are concerned that we did not receive 
sufficient evidence to compare RAPIBLYKTM to other available 
treatments, such as amiodarone. To support its claim that 
RAPIBLYKTM reduces AF and improves outcomes compared to 
other heart rate control therapies in patients at high risk for POAF, 
the applicant provided Koukoulitsios et al. (2025),\69\ a prospective, 
randomized, open-label study consisting of 39 patients in an ICU in 
General Hospital of Athens from 2018 to 2020 that observed 
RAPIBLYKTM reduced heart rate (HR) by 40 bpm in comparison 
to 30 bpm for esmolol at 30 minutes. However, we note that the study 
did not assess for AF or whether use of RAPIBLYKTM and 
esmolol reduced AF events. The applicant also cited Cafaro et al. 
(2023),\70\ a systematic review and meta-analysis of nine randomized 
controlled studies that observed RAPIBLYKTM showed a 12.2 
percent incidence in POAF compared to 32.6 percent for the control 
group. However, while patients treated with RAPIBLYKTM 
showed a reduction in POAF (56 events in 460 patients) compared to 
those who received either saline placebo or undefined controls (133 
events in 408 patients) (p < 0.00001) in the control group, we note 
that it is difficult to evaluate if RAPIBLYKTM reduces AF 
and improves outcomes compared to other heart rate control therapies 
because it is unclear if existing therapies were included as undefined 
controls.
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    \69\ Koukoulitsios G, Tsikritsaki K, Magklaras G, Koutivas AM, 
Kalogeromitros A, Papaioannou V. Comparison of Landiolol and Esmolol 
on Haemodynamic Responses During Weaning of Intensive Care Unit 
Patients with Reduced Ejection Fraction after Vascular Surgery. Card 
Fail Rev. 2025 May 21;11:e13. https://doi.org/10.15420/cfr.2024.18.
    \70\ Cafaro T, Allwood M, McIntyre WF, Park LJ, Daza J, Ofori 
SN, Ke Wang M, Borges FK, Conen D, Marcucci M, Healey JS, Whitlock 
RP, Lamy A, Belley-C[ocirc]t[eacute] EP, Spence JD, McGillion M, 
Devereaux PJ. Landiolol for the prevention of postoperative atrial 
fibrillation after cardiac surgery: a systematic review and meta-
analysis. Can J Anaesth. 2023 Nov;70(11):1828-1838. https://doi.org/10.1007/s12630-023-02586-0.
---------------------------------------------------------------------------

    Similarly, we question whether the provided evidence is sufficient 
to demonstrate that RAPIBLYKTM leads to improved outcomes, 
reduced hospital LOS, and reduced ICU LOS in critically ill patients 
and those with POAF. To support this claim, the applicant submitted one 
peer-reviewed study (Si et al., 2025),\71\ which retrospectively 
observed RAPIBLYKTM and esmolol's effects in 438 surgical 
and medical ICU patients (292 receiving esmolol and 146 receiving 
RAPIBLYKTM) with tachycardia, noting that a small subset of 
patients had AF (9.8 percent). The study observed significantly shorter 
ICU and hospital LOS in the RAPIBLYKTM group compared to the 
esmolol group (ICU LOS: 4.9 vs. 6.7 days, p = 0.011; hospital LOS: 26.5 
vs. 30.0 days, p = 0.044). However, we note that the study treated 
patients with moderate illness severity and used physician preference 
rather than randomization to determine treatment selection. These 
design features limit generalizability to critically ill patients and 
may introduce the potential for selection bias and confounding in the 
reported outcomes.
---------------------------------------------------------------------------

    \71\ Si, X., Yuan, H., Shi, R., Song, W., Guo, J., Jiang, J., 
Yang, T., Ma, X., Wang, H., Chen, M., Wu, J., Guan, X., & Monnet, X. 
(2025). Comparison of the efficacy and safety of Landiolol and 
Esmolol in critically ill patients: a propensity score-matched 
study. Annals of intensive care, 15 (1), 5. https://doi.org/10.1186/s13613-024-01418-8.
---------------------------------------------------------------------------

    After review of the information provided by the applicant and the 
public comments received in response to the New Technology Town Hall 
meeting, we are unable to determine that RAPIBLYKTM 
represents a substantial clinical improvement over existing 
technologies, and therefore, we are proposing to disapprove FY 2027 new 
technology add-on payments for RAPIBLYKTM.
    We are inviting public comments on whether RAPIBLYKTM 
meets the substantial clinical improvement criterion and our proposal 
to disapprove new technology add-on payments for RAPIBLYKTM 
for FY 2027.

[[Page 19424]]

f. WASKYRATM (etuvetidigene autotemcel)
    Fondazione Telethon submitted an FY 2027 application for new 
technology add-on payments for WASKYRATM. According to the 
applicant, WASKYRATM is a one-time, cell-based autologous 
gene therapy indicated for the treatment of pediatric patients 6 months 
and older and adults with Wiskott-Aldrich Syndrome (WAS) who have a 
mutation in the WAS gene for whom hematopoietic stem cell 
transplantation (HCT) is appropriate and no suitable human leukocyte 
antigen (HLA)-matched related stem cell donor is available. Per the 
applicant, following reduced-intensity conditioning, 
WASKYRATM is administered intravenously as a single 
autologous infusion of gene-corrected cluster of differentiation 
(CD)34+ hematopoietic stem and progenitor cells (HSPCs), with a minimum 
recommended dose of 7.0x10\6\ CD34+ cells/kg, individualized by patient 
weight and leukapheresis yield.
    The following table provides an overview of the new technology add-
on payment application for WASKYRATM and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP2510033XJPK.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.083

BILLING CODE 4120-01-C
Newness Criterion
    The applicant stated that the technology would not be commercially 
available until March 31, 2026, due to the applicant's need to 
establish commercial infrastructure, finalize import logistics, and 
plan for U.S. market compliance. We are interested in additional 
information regarding when the technology first became available for 
sale and the cause of any delay in the technology's commercial 
availability, such as additional details regarding the establishment of 
commercial infrastructure.
    Regarding substantial similarity, the applicant asserted that 
WASKYRATM treats a new disease and/or a new patient 
population because it is a curative treatment designed for patients 
lacking a suitable HCT donor and noted that HCT is limited by donor 
availability, age, and risk of graft failure or graft-versus-host 
disease. However, based on information available at the time of this 
proposed rule, we disagree with the applicant that WASKYRATM 
treats a new disease or new patient population because there are 
several other therapies FDA-approved for WAS in patients that cannot 
receive a HCT, such as ALYGLOTM and ASCENIVTM 
which are indicated for treatment of primary humoral immunodeficiency 
in patients with WAS and corticosteroids indicated for eczema. We note 
that the applicant did not assert that WASKYRATM has a new 
mechanism of action compared to existing treatments for WAS or that it 
changes the MS-DRG assignment. Therefore, based on information 
available at the time of this proposed rule, it is unclear whether 
WASKYRATM is substantially similar to existing treatments.
    We are inviting public comments on whether WASKYRATM is 
substantially similar to existing technologies and whether 
WASKYRATM meets the newness criterion.
Cost Criterion
    Regarding the cost criterion, we agree with the applicant that the 
technology meets the cost criterion. We are inviting

[[Page 19425]]

public comments on whether WASKYRATM meets the cost 
criterion.
Substantial Clinical Improvement Criterion
    We did not receive any written comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for 
WASKYRATM.
    After review of the information provided by the applicant, we have 
the following concerns regarding whether WASKYRATM meets the 
substantial clinical improvement criterion. We note that the applicant 
did not provide any evidence to support its claims, as further 
discussed in this section, as to why the technology represents a 
substantial clinical improvement over existing technologies. We are 
unable to evaluate substantial clinical improvement in the absence of 
supporting evidence.
    Furthermore, with respect to the applicant's claims, we note that 
the applicant asserted that WASKYRATM offers a treatment 
option for a patient population unresponsive to, or ineligible for, 
currently available treatments because it provides a treatment option 
for WAS patients without HLA-identical related donors. However, we note 
that this claim does not explain why these patients would be ineligible 
for HCT with an HLA-matched unrelated donor. In addition, while the 
applicant claimed that WASKYRATM reduces WAS disease burden, 
offers a safer disease-modifying option for patients eligible for HCT, 
demonstrates sustained engraftment of gene-corrected cells and long-
term clinical benefit, and directly addresses the genetic defect 
underlying WAS through lentiviral gene transfer, we note that these 
claims do not identify a patient population that is unresponsive to, or 
ineligible for, currently available supportive care treatments and HCT. 
We further note that the applicant asserted that WASKYRATM 
significantly improves clinical outcomes relative to services or 
technologies previously available, but did not identify specific 
outcomes. For example, the applicant claimed that WASKYRATM 
offers a safer option for WAS patients compared to HCT, but did not 
describe a clinical outcome, such as a reduction in at least one 
clinically significant adverse event as provided by Sec.  
412.87(b)(1)(ii)(C)(1). Also, as previously noted, the applicant did 
not provide evidence to support any of its claims and therefore we are 
unable to evaluate whether WASKYRATM represents a 
substantial clinical improvement over existing technologies.
    After review of the information provided by the applicant, we are 
unable to determine that WASKYRATM represents a substantial 
clinical improvement over existing technologies, and therefore, we are 
proposing to disapprove new technology add-on payments for 
WASKYRATM for FY 2027.
    We are inviting public comments on whether WASKYRATM 
meets the substantial clinical improvement criterion and our proposal 
to disapprove new technology add-on payments for WASKYRATM 
for FY 2027.
g. YARTEMLEA[supreg] (narsoplimab-wuug)
    Omeros Corporation submitted an FY 2027 application for new 
technology add-on payments for YARTEMLEA[supreg] (narsoplimab-wuug). 
According to the applicant, YARTEMLEA[supreg] is a fully human 
monoclonal antibody designed to treat and alleviate the detrimental 
consequences of hematopoietic stem cell transplant-associated 
thrombotic microangiopathy (TA-TMA) by targeting and inhibiting mannan-
binding lectin-associated serine protease 2 (MASP-2), an effector 
enzyme that activates the lectin pathway of the complement system. 
YARTEMLEA[supreg] is administered as a 30-minute intravenous infusion 
once weekly, and the recommended dose is 370 mg for patients greater 
than or equal to 50 kg and is 4 mg/kg for patients weighing less than 
50 kg. The applicant estimated that patients receive an average total 
dosage of 4,218 mg per inpatient stay. We note that the applicant 
submitted an application for new technology add-on payments for this 
technology for FY 2022 (86 FR 25282 through 25286; 86 FR 44979) and FY 
2023 (87 FR 28274 through 28279; 87 FR 48920).
    The following table provides an overview of the new technology add-
on payment application for YARTEMLEA[supreg] and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251006R7LMC.

[[Page 19426]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.084

Newness Criterion
    Regarding substantial similarity, based on the information 
available at the time of this proposed rule, we agree with the 
applicant that YARTEMLEA[supreg] has a new mechanism of action and 
treats a new type of disease or patient population compared to existing 
technology, because YARTEMLEA[supreg] is the only FDA-approved therapy 
indicated for the treatment of adult and pediatric patients 2 years of 
age and older with hematopoietic stem cell TA-TMA. We note that we 
disagree with the applicant that YARTEMLEA[supreg] is assigned to a 
different MS-DRG compared to existing technology because patients 
diagnosed with TA-TMA, including those treated with YARTEMLEA[supreg], 
map to MS-DRGs 545-547. Therefore, based on information available at 
the time of this proposed rule, we believe that YARTEMLEA[supreg] is 
not substantially similar to existing technology and meets the newness 
criterion. We consider the beginning of the newness period to commence 
on December 23, 2025, the date on which YARTEMLEA[supreg] received FDA 
market authorization for this indication.
    We are inviting public comments on whether YARTEMLEA[supreg] is 
substantially similar to existing technologies and whether 
YARTEMLEA[supreg] meets the newness criterion.
Cost Criterion
    Regarding the cost criterion, we agree with the applicant that the 
technology meets the cost criterion. We are inviting public comments on 
whether YARTEMLEA[supreg] meets the cost criterion.
Substantial Clinical Improvement Criterion
    We did not receive any written comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for 
YARTEMLEA[supreg].
    After review of the information provided by the applicant, we agree 
with the applicant that YARTEMLEA[supreg] is the first and only FDA-
approved treatment option for patients who develop TA-TMA and offers a 
treatment option for patients who have failed prior treatment with 
other available therapies including C5 inhibitors and other TA-TMA 
directed therapies with a one-year overall survival (OS) of 42.7 
percent (95% CI: 19.7, 65.8) in adult patients.\72\ Therefore, we agree 
that YARTEMLEA[supreg] would offer a treatment option for a patient 
population unresponsive to, or ineligible for, currently available 
treatments. Based on the information available at the time of this 
proposed rule, because YARTEMLEA[supreg] appears to meet the criteria 
for approval for new technology add-on payments, we are proposing to 
approve YARTEMLEA[supreg] for new technology add-on payments for FY 
2027.
---------------------------------------------------------------------------

    \72\ Schoettler ML, Pusarla SK, Nangia N, et al. Narsoplimab 
Results in Excellent Survival in Adults and Children With 
Hematopoietic Cell Transplant Associated Thrombotic Microangiopathy 
(TA-TMA). Am J Hematol. 2025d Aug 29. https://doi.org/10.1002/ajh.70044. Epub ahead of print.
---------------------------------------------------------------------------

    We are inviting public comments on whether YARTEMLEA[supreg] meets 
the substantial clinical improvement criterion and on our proposal to 
approve YARTEMLEA[supreg] for new technology add-on payments.
h. ZEVASKYNTM (prademagene zamikeracel)
    Abeona Therapeutics[supreg], Inc. submitted an FY 2027 application 
for new technology add-on payments for ZEVASKYNTM. According 
to the applicant, ZEVASKYNTM is an autologous cell sheet-
based gene therapy which contains functional copies of the collagen 
type VII alpha 1 chain (COL7A1) transgene for the treatment of adult 
and pediatric patients with recessive dystrophic epidermolysis bullosa 
(RDEB). The applicant stated that autologous patient material procured 
by two 8mm punch biopsies will produce up to twelve 5.5 cm x 7.5 cm 
gene-corrected cellular sheets available for application in a single 
surgical session. The number of gene-corrected cellular sheets produced 
and available for application is not dependent on body size or age. The 
recommended dose of ZEVASKYN is based on the surface area of the 
wound(s).
    The following table provides an overview of the new technology add-
on payment application for ZEVASKYNTM and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online

[[Page 19427]]

application posting at https://mearis.cms.gov/public/publications/ntap/NTP251003GPVPQ.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.085

BILLING CODE 4120-01-C
Newness Criterion
    Regarding commercial availability, the applicant stated that 
ZEVASKYNTM became available for sale on June 15, 2025, 2 
months after it received BLA approval on April 28, 2025, because the 
applicant needed to onboard and train hospitals on the proper 
procedures for collecting specimens and applying the technology. We are 
interested in additional information regarding the cause of any delay 
in the technology's commercial availability, including whether 
ZEVASKYNTM was available for purchase before June 15, 2025, 
during the period the applicant trained hospitals.
    Regarding substantial similarity, based on the information 
available at the time of this proposed rule, we agree with the 
applicant that ZEVASKYNTM uses a new mechanism of action of 
transducing the full-length COL7A1 gene into a patient's own 
keratinocytes to create up to 12 gene-corrected cellular sheets for the 
treatment of RDEB wounds, as compared to VYJUVEK[supreg], a topical 
gene therapy that delivers a functional copy of the COL7A1 gene to 
affected skin cells using a non-replicating HSV-1 vector and 
FILSUVEZ[supreg], a botanical gel with an unknown mechanism of action. 
We also agree that ZEVASKYNTM maps to a new MS-DRG as 
compared to VYJUVEK[supreg] and FILSUVEZ[supreg]. We note that we 
disagree that ZEVASKYNTM does not treat the same or similar 
type of disease or the same or similar patient population when compared 
to existing technology because other therapies, such as VYJUVEK[supreg] 
and FILSUVEZ[supreg], are available to treat wounds in adult and 
pediatric patients with dystrophic epidermolysis bullosa (DEB), of 
which RDEB is a subtype. Therefore, based on information available at 
the time of this proposed rule, we believe that ZEVASKYNTM 
is not substantially similar to existing technology and meets the 
newness criterion.
    We are inviting public comments on whether ZEVASKYNTM is 
substantially similar to existing technologies and whether 
ZEVASKYNTM meets the newness criterion.
Cost Criterion
    Regarding the cost criterion, we agree with the applicant that the 
technology meets the cost criterion. We are inviting public comments on 
whether ZEVASKYNTM meets the cost criterion.
Substantial Clinical Improvement Criterion
    Regarding substantial clinical improvement, we also received a 
public comment in response to the New Technology Town Hall meeting 
notice published in the Federal Register regarding the substantial 
clinical improvement criterion for ZEVASKYNTM, which we are 
summarizing in this section.
    Comment: The applicant submitted a public comment in response to 
questions posed at the Town Hall meeting. With regard to a question as 
to how wound healing was defined in the phase III VIITAL clinical 
trial,\73\ the applicant stated that wound healing was a co-primary end 
point and was

[[Page 19428]]

measured by visual skin examination by the study investigator, a 
dermatologist with significant epidermolysis bullosa expertise. Per the 
applicant, the VIITAL study categorized wound healing into the 
following brackets: (1) healing at less than 50 percent of baseline, 
(2) greater than or equal to 50 percent to less than 75 percent of 
baseline, and (3) greater than or equal to 75 percent of baseline; 
healing greater than or equal to 75 percent of baseline was assessed as 
complete wound closure with complete wound healing defined as re-
epithelialization with no drainage or erosion and only minor crusting. 
The applicant stated that the co-primary endpoint evaluated greater 
than or equal to 50 percent healing from baseline at week 24, and 
exploratory endpoints further assessed greater than or equal to 75 
percent healing. According to the applicant, these definitions ensured 
consistent, prespecified evaluation across all treated wounds.
---------------------------------------------------------------------------

    \73\ Tang JY, Marinkovich MP, Wiss K, McCarthy D, Truesdale A, 
Chiou AS, Eid E, McIntyre JK, Bailey I, Furukawa LK, Gorell ES, 
Harris N, Khosla RK, Peter Lorenz H, Lu Y, Nazaroff J, Grachev ID, 
Moore AJ. Prademagene zamikeracel for recessive dystrophic 
epidermolysis bullosa wounds (VIITAL): a two-centre, randomised, 
open-label, intrapatient-controlled phase 3 trial. Lancet. 2025 Jul 
12;406(10499):163-173. https://doi.org/10.1016/S0140-6736(25)00778-
0.
---------------------------------------------------------------------------

    With regard to a question inquiring whether the study (Tang et al., 
2025) biopsied skin as part of the co-primary endpoint, the applicant 
stated that the investigators did not use biopsies to evaluate the 
greater than or equal to 50 percent wound healing co-primary endpoint. 
Per the applicant, consistent with standard dermatologic practice where 
wound healing is assessed through clinical and visual examination 
rather than routine biopsies, the study used photographic and 
investigator assessments to evaluate the endpoint. According to the 
applicant, the study's investigators only performed biopsies in the 
early phase of the long-term follow-up study to confirm anchoring 
fibrils and C7 production up to 2 years after treatment with 
ZEVASKYNTM.\74\ Beyond 2 years, the applicant stated that 
the study discontinued biopsies due to ethical considerations and 
because patients refused repeated biopsies of healed skin. The 
applicant noted that efficacy data extends out to 8 years, with 
continued planned follow-up of these study subjects extending to up to 
15 years.
---------------------------------------------------------------------------

    \74\ Abeona Therapeutics, Inc. (2024, June 27). A Long-Term 
Extension Study for Participants Previously Treated With EB-101 for 
the Treatment of RDEB (Study No. NCT05708677). ClinicalTrials.gov. 
https://clinicaltrials.gov/study/NCT05708677.
---------------------------------------------------------------------------

    With regard to a question about the comparison of 
ZEVASKYNTM to other therapies and the size of treated wound 
areas, the applicant stated that the 200 cm\2\ reference reflects the 
maximum weekly treatable area for VYJUVEK[supreg], not 
ZEVASKYNTM, which is supplied as up to 12 credit-card sized 
cellular sheets per treatment cycle (Tang et al., 2023). Per the 
applicant, these sheets may be sutured onto separate discrete wounds or 
joined together on larger wound areas, covering up to 495 cm\2\ of 
wound surface area in a single session. The applicant stated that some 
patients in ZEVASKYNTM clinical trials had single large 
wounds while others had multiple separate chronic wounds each greater 
than or equal to 20 cm\2\. According to the applicant, the study did 
not permit patients to receive other RDEB therapies while participating 
in the study, and there are no head-to-head studies of 
ZEVASKYNTM with VYJUVEK[supreg] or FILSUVEZ[supreg]. The 
applicant asserted that head-to-head studies are not required for 
purposes of determining substantial clinical improvement under the new 
technology add-on payment criteria. According to the applicant, 
ZEVASKYNTM's ability to cover up to 495 cm\2\ of wound 
surface area in a single, one-time treatment is a key reason that it is 
a substantial clinical improvement that addresses an ongoing unmet need 
for RDEB patients notwithstanding the availability of VYJUVEK[supreg] 
and FILSUVEZ[supreg].
    With regard to a question about the definition of a large, chronic 
wound, the applicant stated that large, chronic wounds for RDEB 
generally means a wound that is greater than 20 cm\2\ and open for more 
than 6 months.
    The applicant also reiterated information from its application 
regarding the current RDEB treatment landscape, ZEVASKYNTM's 
clinical profile and durability, and the key features that distinguish 
ZEVASKYN\TM\ from other available RDEB therapies.
    Response: We thank the applicant for its comments. After review of 
the information provided by the applicant and the public comment 
received in response to the New Technology Town Hall meeting, we have 
the following concerns regarding whether ZEVASKYNTM meets 
the substantial clinical improvement criterion.
    Regarding the assertion that ZEVASKYNTM offers a 
treatment option for a patient population unresponsive to, or 
ineligible for, current available treatments, we note that the claims 
and supporting evidence do not identify a patient population treated 
with ZEVASKYNTM who cannot otherwise receive existing 
treatments, such as VYJUVEK[supreg] or FILSUVEZ[supreg]. The applicant 
claimed that RDEB patients suffer from severe large wounds that are 
highly debilitating and there currently are no treatments available to 
address large chronic RDEB wounds. However, we note that both 
VYJUVEK[supreg] and FILSUVEZ[supreg] do not have a maximum dose in 
their prescribing label 75 76 that would preclude the use of 
either treatment in difficult-to-treat large and chronic RDEB wounds. 
Similarly, the applicant claimed that no currently available treatment 
options effectively target chronic pain and itching experienced by RDEB 
patients and that chronic RDEB wounds pose a high risk of developing 
squamous cell carcinoma (SCC) and multiple systemic infections, stating 
that ZEVASKYNTM is the only approved therapy that provides 
durable healing for these wounds. However, neither the presence of 
chronic pain and itching nor a high risk of developing SCC and multiple 
systemic infections preclude these patients from receiving treatment 
with VYJUVEK[supreg] or FILSUVEZ[supreg]. Accordingly, we question 
whether these claims describe improvements in clinical outcomes over 
existing therapies rather than identifying a distinct patient 
population unresponsive to, or ineligible for, current available 
treatments that ZEVASKYNTM can treat.
---------------------------------------------------------------------------

    \75\ Krystal Biotech, Inc. (2025, Sept.) VYJUVEK[supreg] 
(beremagene geperpavec-svdt) biological suspension mixed with 
excipient gel for topical application: highlights of prescribing 
information. https://www.krystallabel.com/pdf/vyjuvek-us-pi.pdf.
    \76\ Chiesi USA, Inc. (2024, May.) FILSUVEZ[supreg] (birch 
triterpenes) topical gel: highlights of prescribing information. 
https://resources.chiesiusa.com/Filsuvez/FILSUVEZ_PI.pdf.
---------------------------------------------------------------------------

    In addition, while the applicant asserted that 
ZEVASKYNTM significantly improves clinical outcomes for 
patients with RDEB, we note that we did not receive sufficient evidence 
comparing ZEVASKYNTM to currently available treatments. The 
applicant stated that ZEVASKYNTM is the only autologous, 
cell-based gene therapy to demonstrate significantly improved wound 
healing even in the most difficult-to-treat large and chronic RDEB 
wounds; however, we note that both VYJUVEK[supreg] and FILSUVEZ[supreg] 
demonstrated statistically significant wound healing in their 
respective clinical trials. Therefore, we question whether 
ZEVASKYNTM significantly improves wound healing compared to 
these treatments. The applicant had cited Tang et al. (2025),\77\ a 
randomized, open-label, intra-patient-controlled phase 3 trial that 
included 11 RDEB patients who had 86 matched and

[[Page 19429]]

randomized wound pairs treated with either ZEVASKYNTM or 
control such as daily bandaging and other palliative measures. This 
study observed that 81 percent of ZEVASKYNTM-treated wounds 
were at least 50 percent healed from baseline compared with 16 percent 
of control wounds (mean difference: 67 percent; 95 percent CI: 50-89, p 
= <0.0001) and that complete wound healing from baseline was observed 
in 16 percent of ZEVASKYNTM-treated wounds compared to 0 
percent of control wounds (mean difference 13 percent; 95 percent CI 2-
26, p = 0.016). However, we note that in Guide et al. (2022),\78\ a 
double-blind intra-patient randomized, placebo-controlled phase 3 trial 
consisting of 31 patients (30 with RDEB) who received either 
VYJUVEK[supreg] or placebo weekly for 26 weeks, 65 percent of patients 
achieved complete wound closure with VYJUVEK[supreg] compared to 26 
percent with placebo. Similarly, in Kern et al. (2023),\79\ a 
randomized, double-blind, placebo-controlledphase 3 trial consisting of 
223 patients (175 with RDEB) who received either FILSUVEZ[supreg] or 
placebo, 44 percent of RDEB patients treated with FILSUVEZ[supreg] 
achieved first complete closure of the target wound within 45 days 
compared to 26.2 percent of the patients who received placebo.
---------------------------------------------------------------------------

    \77\ Tang JY, Marinkovich MP, Wiss K, McCarthy D, Truesdale A, 
Chiou AS, Eid E, McIntyre JK, Bailey I, Furukawa LK, Gorell ES, 
Harris N, Khosla RK, Peter Lorenz H, Lu Y, Nazaroff J, Grachev ID, 
Moore AJ. Prademagene zamikeracel for recessive dystrophic 
epidermolysis bullosa wounds (VIITAL): a two-centre, randomised, 
open-label, intrapatient-controlled phase 3 trial. Lancet. 2025 Jul 
12;406(10499):163-173. https://doi.org/10.1016/S0140-6736(25)00778-
0.
    \78\ Guide, S. V., Gonzalez, M. E., Ba[gbreve]c[inodot], I. S., 
Agostini, B., Chen, H., Feeney, G., Steimer, M., Kapadia, B., 
Sridhar, K., Quesada Sanchez, L., Gonzalez, F., Van Ligten, M., 
Parry, T. J., Chitra, S., Kammerman, L. A., Krishnan, S., & 
Marinkovich, M. P. (2022). Trial of Beremagene Geperpavec (B-VEC) 
for Dystrophic Epidermolysis Bullosa. New England Journal of 
Medicine, 387(24), 2211-2219. https://doi.org/10.1056/NEJMoa2206663.
    \79\ Kern, J. S., Sprecher E., Fernandez M. F., et al. Efficacy 
and safety of Oleogel-S10 (birch triterpenes) for epidermolysis 
bullosa: results from the phase III randomized double-blind phase of 
the EASE study. British Journal of Dermatology, 188(1), 12-21, 
https://doi.org/10.1093/bjd/ljac001.
---------------------------------------------------------------------------

    The applicant also asserted that ZEVASKYNTM is the only 
treatment for RDEB that has demonstrated significant reductions in both 
pain and itch and that ZEVASKYNTM results in durable wound 
healing. However, we note that the comparator data we received did not 
specifically measure pain and itch, and follow-up time for wound 
healing was limited to 6 months for VYJUVEK[supreg] and 90 days for 
FILSUVEZ[supreg], which limits meaningful comparisons to 
ZEVASKYNTM. Additionally, although the applicant asserted 
that ZEVASKYN\TM\ provides durable wound healing following a single 
treatment application, we are concerned that wounds that have not 
achieved complete closure may require additional treatment, which 
raises questions regarding the durability of the treatment and whether 
this can be considered a one-time treatment as asserted by the 
applicant. According to So et al. (2022),\80\ a single-center, non-
randomized, open-label phase I/IIa trial that included seven patients 
who received ZEVASKYNTM on 38 chronic wounds while following 
patients for a mean of 5.9 years (range: 4-8 years), 70 percent of 
ZEVASKYNTM-treated sites had greater than or equal to 50 
percent wound healing and 63 percent had greater than or equal to 75 
percent wound healing at 5 years. We note that given that a subset of 
treated wounds achieved complete closure and a substantial proportion 
demonstrated only partial healing, we are uncertain that a single 
application of ZEVASKYNTM is sufficient and durable for all 
patients.
---------------------------------------------------------------------------

    \80\ So JY. et al. Long-term safety and efficacy of gene-
corrected autologous keratinocyte grafts for recessive dystrophic 
epidermolysis bullosa. Orphanet Journal of Rare Diseases. 
2022(17):377. https://doi.org/10.1186/s13023-022-02546-9.
---------------------------------------------------------------------------

    Furthermore, we note that although the applicant asserted that 
ZEVASKYNTM has a favorable safety profile with no serious 
treatment-emergent adverse events (TEAEs) related to the study 
treatment and no reports of SCC in ZEVASKYN-treated wounds, the 
applicant did not compare this with TEAEs and rates of SCC seen with 
available treatments such as VYJUVEK[supreg] and FILSUVEZ[supreg]. 
Therefore, we cannot determine an improvement in safety for 
ZEVASKYNTM over existing technologies.
    After review of the information provided by the applicant and the 
public comments received in response to the New Technology Town Hall 
meeting, we are unable to determine that ZEVASKYNTM 
represents a substantial clinical improvement over existing 
technologies, and therefore, we are proposing to disapprove new 
technology add-on payments for ZEVASKYNTM for FY 2027.
    We are inviting public comments on whether ZEVASKYNTM 
meets the substantial clinical improvement criterion and our proposal 
to disapprove new technology add-on payments for ZEVASKYNTM 
for FY 2027.
6. Proposed FY 2027 Applications for New Technology Add-On Payments 
(Alternative Pathways)
    As discussed previously, beginning with applications for FY 2021, a 
medical device designated under FDA's Breakthrough Devices Program that 
has received marketing authorization as a Breakthrough Device, for the 
indication covered by the Breakthrough Device designation, may qualify 
for the new technology add-on payment under an alternative pathway. 
Additionally, beginning with FY 2021, a medical product that is 
designated by FDA as a Qualified Infectious Disease Product (QIDP) and 
has received marketing authorization for the indication covered by the 
QIDP designation, and, beginning with FY 2022, a medical product that 
is a new medical product approved under FDA's Limited Population 
Pathway for Antibacterial and Antifungal Drugs (LPAD) and used for the 
indication approved under the LPAD pathway, may also qualify for the 
new technology add-on payment under an alternative pathway. Under an 
alternative pathway, a technology will be considered not substantially 
similar to an existing technology for purposes of the new technology 
add-on payment under the IPPS and will not need to meet the requirement 
that it represents an advance that substantially improves, relative to 
technologies previously available, the diagnosis or treatment of 
Medicare beneficiaries. These technologies must still be within the 2-
to-3-year newness period to be considered ``new,'' and must also still 
meet the cost criterion. We refer readers to section II.H.8. of the 
preamble of the FY 2020 IPPS/LTCH PPS final rule (84 FR 42292 through 
42297) and FY 2021 IPPS/LTCH PPS final rule (85 FR 58715 through 58733) 
for further discussion of the alternative new technology add-on payment 
pathways for these technologies. As previously noted, in section 
II.E.7. of this proposed rule, we are proposing to repeal the 
alternative pathway for new technology add-on payment beginning with 
applications received for new technology add-on payments for FY 2028 
and require all applicants for new technology add-on payments to 
demonstrate that they meet all eligibility requirements to receive add-
on payments. (We refer readers to section II.E.7. of this proposed rule 
for a complete discussion regarding this proposal.)
    As discussed previously, as finalized in the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 48986 through 48990) and subsequently updated in the 
FY 2026 IPPS/LTCH PPS final rule (90 FR 36662 through 36664), we 
publicly post online applications for new technology add-on payment 
beginning with FY 2024 applications. As noted in those final rules, we 
are continuing to provide discussion of the concerns or issues we 
identified with respect to applications submitted under the alternative 
pathway, but we are providing more succinct information as part of the 
summaries in the proposed and final

[[Page 19430]]

rules regarding the applicant's assertions as to how the medical 
service or technology meets the applicable new technology add-on 
payment criteria. We refer readers to https://mearis.cms.gov/public/publications/ntap for the publicly posted FY 2027 new technology add-on 
payment applications and supporting information (with the exception of 
certain cost and volume information, and information or materials 
identified by the applicant as confidential or copyrighted), including 
tables listing the ICD-10-CM codes, ICD-10-PCS codes, and/or MS-DRGs 
related to the analyses of the cost criterion for certain technologies 
for the FY 2027 new technology add-on payment applications.
    In addition, for certain FY 2027 new technology add-on payment 
applications, we are making available separate tables listing the ICD-
10-PCS codes or ICD-10-CM codes that would be used to identify the 
Breakthrough Device-designated indication, or would be appropriate to 
exclude for cases related to a different technology, for purposes of 
the new technology add-on payment, if approved, in Table 10 associated 
with this proposed rule, available via the internet on the CMS website 
at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps. To access Table 10, click on the link titled ``FY 
2027 IPPS Proposed Rule Home Page'' or ``Acute Inpatient--Files for 
Download'' on the left side of the screen, at the CMS website. Please 
see section VI of the Addendum for additional information regarding 
tables associated with this proposed rule.
    We received 32 applications for new technology add-on payments for 
FY 2027 under the new technology add-on payment alternative pathway. As 
previously discussed, beginning with the new technology add-on payment 
applications for FY 2025, for technologies that are not already FDA 
market authorized for the indication that is the subject of the new 
technology add-on payment application, applicants must have a complete 
and active FDA market authorization request at the time of new 
technology add-on payment application submission and must provide 
documentation of FDA acceptance or filing to CMS at the time of 
application submission, consistent with the type of FDA marketing 
authorization application the applicant has submitted to FDA. See Sec.  
412.87(e) and further discussion in the FY 2024 and FY 2025 IPPS/LTCH 
PPS final rules (88 FR 58948 through 58958; 89 FR 69242 through 69245). 
Of the 32 applications received under the alternative pathway, 7 
applications were not eligible for consideration for new technology 
add-on payment because they did not meet these requirements; and 3 
applicants withdrew their applications prior to the issuance of this 
proposed rule. For the remaining 22 applications, all of the 
technologies received a Breakthrough Device designation from FDA.
    In accordance with the regulations under Sec.  412.87(f)(2), 
applicants for new technology add-on payments for FY 2027 for 
Breakthrough Devices must have FDA marketing authorization by May 1 of 
the year prior to the beginning of the fiscal year for which the 
application is being considered. Under Sec.  412.87(f)(3), applicants 
for new technology add-on payments for FY 2027 for QIDPs and 
technologies approved under the LPAD pathway must have FDA marketing 
authorization by July 1 of the year prior to the beginning of the 
fiscal year for which the application is being considered. The policy 
finalized in the FY 2021 IPPS/LTCH PPS final rule (85 FR 58742) 
provides for conditional approval for a technology for which an 
application is submitted under the alternative pathway for certain 
antimicrobial products (QIDPs and LPADs) at Sec.  412.87(d) that does 
not receive FDA marketing authorization by July 1 prior to the 
particular fiscal year for which the applicant applied for new 
technology add-on payments, provided that the technology receives FDA 
marketing authorization before July 1 of the fiscal year for which the 
applicant applied for new technology add-on payments. We refer the 
reader to the FY 2021 IPPS/LTCH final rule for a complete discussion of 
this policy (85 FR 58737 through 58742).
    As we did in the FY 2026 IPPS/LTCH PPS proposed rule, for 
applications under the alternative new technology add-on payment 
pathway, in this proposed rule we are making a proposal to approve or 
disapprove each of these 22 applications for FY 2027 new technology 
add-on payments. Therefore, in this section of the preamble of this 
proposed rule, we provide an overview table of the new technology add-
on payment application and CMS's preliminary assessment for each 
alternative pathway application, and propose whether or not each 
technology would be eligible for the new technology add-on payment for 
FY 2027.
    We note that we received multiple applications for subscription-
based technologies for FY 2027. As stated in the FY 2021 IPPS/LTCH PPS 
final rule (85 FR 58630) and in the FY 2025 IPPS/LTCH PPS final rule 
(89 FR 69207), we understand that there are unique circumstances with 
respect to determining a cost per case for a technology that utilizes a 
subscription for its cost and we will continue to consider the issues 
relating to calculation of the cost per unit of technologies sold on a 
subscription basis as we gain more experience in this area. We continue 
to welcome comments from the public as to the appropriate method to 
determine a cost per case for such technologies, including comments on 
whether the cost analysis should be updated based on the most recent 
subscriber data for each year for which the technology may be eligible 
for add-on payment.
a. Alternative Pathway for Breakthrough Devices
1. Bayesian Health Sepsis Flagging Device
    Bayesian Health, Inc. submitted a FY2027 application for new 
technology add-on payments for the Bayesian Health Sepsis Flagging 
Device. According to the applicant, the Bayesian Health Sepsis Flagging 
Device is artificial intelligence and machine learning-based Software 
as a Medical Device (SaMD) intended for use in conjunction with 
clinical assessments and other laboratory findings to aid the early 
detection and/or risk prediction of sepsis within the next 4 days.
    The following table provides an overview of the new technology add-
on payment application for the Bayesian Health Sepsis Flagging Device 
and CMS's preliminary assessment. For additional details provided by 
the applicant, please refer to the online application posting at 
https://mearis.cms.gov/publicpublications/ntap/NTP25100520EEP.
BILLING CODE 4120-01-P

[[Page 19431]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.086

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the Bayesian Health Sepsis Flagging Device 
meets the cost criterion and are therefore proposing to approve the 
Bayesian Health Sepsis Flagging Device for new technology add-on 
payments for FY 2027, subject to the technology receiving FDA marketing 
authorization for the indication corresponding to the Breakthrough 
Device designation by May 1, 2026.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of the Bayesian Health 
Sepsis Flagging Device would be $61.84 for FY 2027 (that is, 65 percent 
of the average cost of the technology). We note that the cost 
information for this technology may be updated in the final rule based 
on revised or additional information CMS receives prior to the final 
rule.
    We invite public comments on whether the Bayesian Health Sepsis 
Flagging Device meets the cost criterion and our proposal to approve 
new technology add-on payments for the Bayesian Health Sepsis Flagging 
Device for FY 2027, subject to the technology receiving FDA marketing 
authorization for the indication corresponding to the Breakthrough 
Device designation by May 1, 2026.
2. BriefCase-Triage: CARE (Clinical AI Reasoning Engine) Multi-Triage 
CT Body
    Aidoc Medical Ltd., Inc. submitted a FY2027 application for new 
technology add-on payments for BriefCase-Triage: CARE Multi-Triage CT 
Body (BriefCase-Triage). According to the applicant, BriefCase-Triage 
is a radiological triage device used for the analysis of contrast and 
non-contrast CT images that flags and communicates suspected positive 
findings for a wide range of clinically actionable, time-sensitive 
conditions in the abdominopelvic region.
    The following table provides an overview of the new technology add-
on payment application for BriefCase-Triage and CMS's preliminary 
assessment. For additional details

[[Page 19432]]

provided by the applicant, please refer to the online application 
posting at https://mearis.cms.gov/public/publications/ntap/NTP251004A9NVV.
[GRAPHIC] [TIFF OMITTED] TP14AP26.087


[[Page 19433]]


Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that BriefCase-Triage meets the cost criterion and 
are therefore proposing to approve BriefCase-Triage for new technology 
add-on payments for FY 2027 for the FDA-cleared indication covered by 
the Breakthrough Device designation listed in the table. We consider 
the beginning of the newness period to commence on January 7, 2026, the 
date on which BriefCase-Triage received FDA marketing authorization.
    Based on preliminary cost information from the applicant at the 
time of this proposed rule, we are proposing that the maximum new 
technology add-on payment for a case involving the use of BriefCase-
Triage would be $137.53 for FY 2027 (that is, 65 percent of the average 
cost of the technology). We note that the cost information for this 
technology may be updated in the final rule based on revised or 
additional information CMS receives prior to the final rule.
    We invite public comments on whether BriefCase-Triage meets the 
cost criterion and our proposal to approve new technology add-on 
payments for BriefCase-Triage: CARE Multi-Triage CT Body for FY 2027.
3. CARA System
    Cara Medical submitted a FY 2027 application for new technology 
add-on payments for the CARA System. According to the applicant, the 
CARA System software simulates the path of a patient's cardiac 
conduction system using anatomical landmarks identifiable on routine CT 
angiography (CTA) imaging to enable Conduction Guided Intervention 
(CGI). Per the applicant, CARA augmented fluoroscopy can be used to 
help the operator visualize, during the procedure, the proximity of his 
tools and device to the patient's conduction system.
    The following table provides an overview of the new technology add-
on payment application for the CARA System and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251006TVQL6.

[[Page 19434]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.088

BILLING CODE 4120-01-C
Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the CARA System meets the cost criterion and 
are therefore proposing to approve the CARA System for new technology 
add-on payments for FY 2027, subject to the technology receiving FDA 
marketing authorization for the indication corresponding to the 
Breakthrough Device designation by May 1, 2026.
    However, we question whether a surgical procedure done in the 
operating room with the CARA AtlasTM Navigator

[[Page 19435]]

would correspond to the FDA Breakthrough Device designated indication 
involving real-time, intra-procedural, fluoroscopic imaging to assist 
in fluoroscopic-guided interventional heart procedures. We would be 
interested in information clarifying the components and process for use 
of the CARA AtlasTM Navigator, accounting for the difference 
in cost between a surgical procedure and an interventional procedure. 
We also question whether procedures using only the CARA 
MetisTM Simulator would correspond to the FDA Breakthrough 
Device designated indication, as a medical device comprising two 
integrated functions (that is, integrated functions of both the CARA 
MetisTM Simulator and CARA AtlasTM Navigator). We 
note that under the eligibility criteria for approval under the 
alternative pathway for certain transformative devices, only the use of 
the technology for the indication that corresponds to the technology's 
Breakthrough Device designation would be eligible for the new 
technology add-on payment for FY 2027. We would be interested in 
detailed information clarifying the different uses of the CARA System 
components related to the Breakthrough Device designated indication. 
Based on preliminary information from the applicant at the time of this 
proposed rule, we are proposing that the maximum new technology add-on 
payment for a case involving the use of the CARA System would be 
$10,205.00 for FY 2027 (that is, 65% of the average cost of the 
technology). We note that the cost information for this technology may 
be updated in the final rule based on revised or additional information 
CMS receives prior to the final rule.
    We invite public comments on whether the CARA System meets the cost 
criterion and our proposal to approve new technology add-on payments 
for the CARA System for FY 2027, subject to the technology receiving 
FDA marketing authorization for the indication corresponding to the 
Breakthrough Device designation by May 1, 2026.
4. CERAMENT[supreg] V
    BONESUPPORT Inc. submitted a FY 2027 application for new technology 
add-on payments for CERAMENT[supreg] V. According to the applicant, 
CERAMENT[supreg] V is a resorbable, vancomycin-eluting ceramic bone 
graft substitute intended for use as a bone void filler as an adjunct 
to systemic antibiotic therapy and surgical debridement as part of the 
surgical treatment of osteomyelitis. Per the applicant, 
CERAMENT[supreg] V is indicated for use on vancomycin-sensitive 
microorganisms.
    The following table provides an overview of the new technology add-
on payment application for CERAMENT[supreg] V and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251006EFW54.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.089

Newness Period
    After review of the information provided by the applicant, we note 
that the applicant stated that the technology is not expected to be 
commercially available until a few months after FDA marketing 
authorization because of the required time to implement the technical 
requirements to comply with FDA marketing authorization and to produce 
the first batches of CERAMENT[supreg] V for the United States. We are 
interested in additional information regarding the anticipated cause 
for any delay in the technology's market availability, as another bone 
graft substitute from the applicant that was first approved for new 
technology add-on payment for FY 2023 (87 FR

[[Page 19436]]

48961 through 48966) did not have a delay in market availability.
Cost Criterion
    We agree with the applicant that CERAMENT[supreg] V meets the cost 
criterion and are therefore proposing to approve CERAMENT[supreg] V for 
new technology add-on payments for FY 2027, subject to the technology 
receiving FDA marketing authorization for the indication corresponding 
to the Breakthrough Device designation by May 1, 2026.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of CERAMENT[supreg] V would 
be $5,687.50 for FY 2027 (that is, 65% of the average cost of the 
technology). We note that the cost information for this technology may 
be updated in the final rule based on revised or additional information 
CMS receives prior to the final rule.
    We invite public comments on whether CERAMENT[supreg] V meets the 
cost criterion and our proposal to approve new technology add-on 
payments for CERAMENT[supreg] V for FY 2027, subject to the technology 
receiving FDA marketing authorization for the indication corresponding 
to the Breakthrough Device designation by May 1, 2026.
5. Ceribell Delirium Monitor System
    Ceribell, Inc. submitted a FY 2027 application for new technology 
add-on payments for the Ceribell Delirium Monitor System. According to 
the applicant, the Ceribell Delirium Monitor System is a medical device 
system comprised of proprietary software, signal acquisition headbands 
and a recorder. Per the applicant, the software utilizes a machine 
learning model to analyze EEG signals to detect features indicative of 
delirium.
    The following table provides an overview of the new technology add-
on payment application for the Ceribell Delirium Monitor System and 
CMS's preliminary assessment. For additional details provided by the 
applicant, please refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251006WFMK2.
[GRAPHIC] [TIFF OMITTED] TP14AP26.090


[[Page 19437]]


BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we note 
that under the eligibility criteria for approval under the alternative 
pathway for certain transformative devices, only the use of the 
technology for the indication that corresponds to the technology's 
Breakthrough Device designation would be eligible for the new 
technology add-on payment for FY 2027. As stated by the applicant, the 
FDA-cleared indication is different and is not limited to adult 
patients aged 65 and older, as noted in the Breakthrough Device 
designation. Therefore, only the use of the Ceribell Delirium Monitor 
System for patients aged 65 and older, and the FDA Breakthrough Device 
designation it received for that use, would be relevant for purposes of 
the new technology add-on payment application for FY 2027.
ICD-10 Coding
    In addition, as noted by the applicant, the ICD-10-PCS procedure 
code XX20X89 (Monitoring of brain electrical activity, computer-aided 
detection and notification, new technology group 9) is used for a 
different technology (the Ceribell Status Epilepticus Monitor) to help 
diagnose status epilepticus, which is not the subject of this new 
technology add-on payment application. Therefore, the applicant has 
submitted a request for ICD-10-CM codes to differentiate use of the 
Ceribell Delirium Monitor System from use of the Ceribell Status 
Epilepticus Monitor, which was approved for new technology add-on 
payments for FY 2024 through FY 2026 (88 FR 58927 through 58930; 89 FR 
70009; 90 FR 37260) and for which we are proposing to discontinue 
making new technology add-on payments for FY 2027 because it will no 
longer be considered new (as discussed in section II.E.4. of the 
preamble of this proposed rule).
    Furthermore, for purposes of the new technology add-on payment, if 
approved, we believe it would be appropriate to exclude cases reporting 
the ICD-10-PCS procedure code XX20X89 in patients with status 
epilepticus, which would instead identify use of the Ceribell Status 
Epilepticus Monitor. Please see Table 10.2.-- Ceribell Delirium Monitor 
System, associated with this proposed rule, for the list of ICD-10-CM 
diagnosis codes that we believe would identify patients with status 
epilepticus, which we propose to exclude from new technology add-on 
payment when reported in combination with ICD-10-PCS procedure code 
XX20X89.
    We are inviting public comments on our proposal to exclude cases 
reporting these ICD-10-CM diagnosis codes in combination with the ICD-
10-PCS procedure code XX20X89, for purposes of the new technology add-
on payment for FY 2027, if approved.
Cost Criterion
    We agree with the applicant that the Ceribell Delirium Monitor 
System meets the cost criterion and are therefore proposing to approve 
the Ceribell Delirium Monitor System for new technology add-on payments 
for FY 2027, for the FDA-cleared indication covered by the Breakthrough 
Device designation listed in the table. We consider the beginning of 
the newness period to commence on December 8, 2025, the date on which 
the Ceribell Delirium Monitor System received FDA marketing 
authorization.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of the Ceribell Delirium 
Monitor System would be $2,171 for FY 2027 (that is, 65% of the average 
cost of the technology). We note that the cost information for this 
technology may be updated in the final rule based on revised or 
additional information CMS receives prior to the final rule.
    We invite public comments on whether the Ceribell Delirium Monitor 
System meets the cost criterion and our proposal to approve new 
technology add-on payments for the Ceribell Delirium Monitor System for 
FY 2027.
6. CMORE[supreg] CT System (Posterior Cervico-Thoracic System)
    Icotec ag submitted a FY 2027 application for new technology add-on 
payments for the CMORE[supreg] CT System. According to the applicant, 
the CMORE[supreg] CT System is a posterior cervico-thoracic fixation 
system manufactured from BlackArmor[supreg] Carbon/PEEK material for 
standard posterior fixation of the spinal column which features a 
variety of screw sizes and types, as well as rod shapes, to accommodate 
patient anatomy.
    The following table provides an overview of the new technology add-
on payment application for the CMORE[supreg] CT System and CMS's 
preliminary assessment. For additional details provided by the 
applicant, please refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP2510034V5CK.
BILLING CODE 4120-01-P

[[Page 19438]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.091

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we note 
that, as previously stated, under the eligibility criteria for approval 
under the alternative pathway for certain transformative devices, only 
the use of the technology for the indication that corresponds to the 
technology's Breakthrough Device designation would be eligible for the 
new technology add-on payment for FY 2027. The indication

[[Page 19439]]

for use for the CMORE[supreg] CT System in the absence of fusion for a 
limited time period in patients with advanced stage tumors involving 
the cervical spine in whom life expectancy is of insufficient duration 
to permit achievement of fusion, is not included in its Breakthrough 
Device designation. Therefore, the CMORE[supreg] CT System would only 
be eligible for new technology add-on payment for its Breakthrough 
Device-designated indication, as an adjunct to fusion of the cervical 
spine (C1 to C7) and the upper thoracic spine (T1 to T3), if approved.
ICD-10 Coding
    Please see Table 10.1.--CMORE[supreg] CT System, associated with 
this proposed rule, for the list of relevant ICD-10-PCS procedure codes 
that we believe would be appropriate to report in combination with use 
of the CMORE[supreg] CT System to identify use of the technology for 
the Breakthrough Device-designated indication, as an adjunct to fusion 
of the cervical spine (C1 to C7) and the upper thoracic spine (T1 to 
T3). We are inviting public comments on the use of these ICD-10-PCS 
procedure codes to identify use of the technology for the Breakthrough 
Device-designated indication for purposes of the new technology add-on 
payment, if approved.
Cost Criterion
    We agree with the applicant that the CMORE[supreg] CT System meets 
the cost criterion and are therefore proposing to approve the 
CMORE[supreg] CT System for new technology add-on payments for FY 2027, 
for the FDA-cleared indication covered by the Breakthrough Device 
designation listed in the table and as described previously. We 
consider the beginning of the newness period to commence on December 8, 
2025, the date on which the CMORE[supreg] CT System became commercially 
available.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of the CMORE[supreg] CT 
System would be $60,905 for FY 2027 (that is, 65% of the average cost 
of the technology). We note that the cost information for this 
technology may be updated in the final rule based on revised or 
additional information CMS receives prior to the final rule.
    We invite public comments on whether the CMORE[supreg] CT System 
meets the cost criterion and our proposal to approve new technology 
add-on payments for the CMORE[supreg] CT System for FY 2027.
7. GORE[supreg] VIABAHN[supreg] FORTEGRA Venous Stent
    W.L. Gore & Associates, Inc. submitted a FY 2027 application for 
new technology add-on payments for the GORE[supreg] VIABAHN[supreg] 
FORTEGRA Venous Stent. According to the applicant, the GORE[supreg] 
VIABAHN[supreg] FORTEGRA Venous Stent is an open-structure polymer 
lattice device providing intraluminal support in the inferior vena cava 
and, if clinically warranted, the common iliac veins, at the iliocaval 
confluence in patients with symptomatic vessel obstruction.
    The following table provides an overview of the new technology add-
on payment application for the GORE[supreg] VIABAHN[supreg] FORTEGRA 
Venous Stent and CMS's preliminary assessment. For additional details 
provided by the applicant, please refer to the online application 
posting at https://mearis.cms.gov/public/publications/ntap/NTP251006MBT8G.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.092

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the GORE[supreg] VIABAHN[supreg] FORTEGRA 
Venous Stent meets the cost criterion and are therefore proposing to 
approve the GORE[supreg] VIABAHN[supreg] FORTEGRA Venous Stent for new 
technology add-on payments for FY 2027, for the FDA-approved indication 
covered by the Breakthrough Device designation listed in the table. We 
consider the beginning of the newness period to commence on December 
19, 2025, the date on which the GORE[supreg] VIABAHN[supreg] FORTEGRA 
Venous Stent received FDA marketing authorization.
    Based on preliminary cost information from the applicant at the 
time of this proposed rule, we are proposing that the maximum new 
technology add-on payment for a case involving the use of the 
GORE[supreg] VIABAHN[supreg] Venous Stent would be

[[Page 19440]]

$7,186.40 for FY 2027 (that is, 65 percent of the average cost of the 
technology). We note that the cost information for this technology may 
be updated in the final rule based on revised or additional information 
CMS receives prior to the final rule.
    We invite public comments on whether the GORE[supreg] 
VIABAHN[supreg] Venous Stent meets the cost criterion and our proposal 
to approve new technology add-on payments for the GORE[supreg] 
VIABAHN[supreg] Venous Stent for FY 2027.
8. InfuseTM Bone Graft
    Medtronic Sofamor Danek USA, Inc. submitted a FY 2027 application 
for new technology add-on payments for InfuseTM Bone Graft. 
According to the applicant, InfuseTM Bone Graft-is a bone 
graft material designed to promote bone formation at the site of 
implantation for transforaminal lumbar interbody fusion (TLIF), at one 
or two adjacent levels from L2-S1 in the treatment of degenerative disc 
disease (DDD). Per the applicant, it consists of two primary 
components, recombinant human bone morphogenetic protein-2 (rhBMP-2) 
and an absorbable collagen sponge which serves as a delivery matrix and 
scaffold for bone growth.
    The following table provides an overview of the new technology add-
on payment application for InfuseTM Bone Graft and CMS's 
preliminary assessment. For additional details provided by the 
applicant, please refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP250929NNTP8.
[GRAPHIC] [TIFF OMITTED] TP14AP26.093

ICD-10 Coding
    After review of the information provided by the applicant, we note 
that InfuseTM Bone Graft has been granted other FDA 
approvals beyond the scope of its Breakthrough Device designation. We 
believe the relevant ICD-10-PCS procedure codes that would be 
appropriate to report in combination with use of InfuseTM 
Bone Graft, to identify use of the technology for the Breakthrough 
Device-designated indication in a TLIF surgical approach at one or two 
adjacent levels from L2-S1 in the treatment of degenerative disease of 
the lumbosacral spine for purposes of the new technology add-on 
payment, if approved, would be the following codes:

[[Page 19441]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.094

    We are inviting public comments on the use of these ICD-10-PCS 
procedure codes to identify use of the technology for the Breakthrough 
Device-designated indication for purposes of the new technology add-on 
payment, if approved.
Cost Criterion
    We agree with the applicant that InfuseTM Bone Graft 
meets the cost criterion and are therefore proposing to approve 
InfuseTM Bone Graft for new technology add-on payments for 
FY 2027, for the FDA-approved indication covered by the Breakthrough 
Device designation listed in the table and as described previously. We 
consider the beginning of the newness period to commence on February 
13, 2026, the date on which InfuseTM Bone Graft received FDA 
marketing authorization.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of InfuseTM Bone 
Graft would be $4,396.60 for FY 2027 (that is, 65% of the average cost 
of the technology). We note that the cost information for this 
technology may be updated in the final rule based on revised or 
additional information CMS receives prior to the final rule.
    We invite public comments on whether InfuseTM Bone Graft 
meets the cost criterion and our proposal to approve new technology 
add-on payments for InfuseTM Bone Graft for FY 2027.
9. InVision Precision Cardiac Amyloid
    Invision Medical Technology submitted a FY 2027 application for new 
technology add-on payments for InVision Precision Cardiac Amyloid 
(InVision PCA). According to the applicant, InVision PCA is a SaMD 
machine-learning disease detection algorithm to identify high suspicion 
of cardiac amyloidosis from routinely obtained echocardiogram videos. 
Per the applicant, the device assists clinicians in the diagnosis of 
cardiac amyloidosis.
    The following table provides an overview of the new technology add-
on payment application for InVision PCA and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251002J7D89.

[[Page 19442]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.095

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that InVision PCA meets the cost criterion and are 
therefore proposing to approve InVision PCA for new technology add-on 
payments for FY 2027, for the FDA-cleared indication covered by the 
Breakthrough Device designation listed in the table. We consider the 
beginning of the newness period to commence on May 21, 2025, the date 
on which InVision PCA received FDA market authorization.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of InVision PCA would be 
$162.50 for FY 2027 (that is, 65 percent of the average cost of the 
technology). We note that the cost information for this technology may 
be updated in the final rule based on revised or additional information 
CMS receives prior to the final rule.
    We invite public comments on whether InVision PCA meets the cost 
criterion and our proposal to approve new technology add-on payments 
for InVision PCA for FY 2027.
10. MediBeacon[supreg] Transdermal GFR Measurement System (TGFR)
    MediBeacon submitted a FY 2027 application for new technology add-
on payments for the MediBeacon[supreg] Transdermal GFR Measurement 
System (MediBeacon[supreg] TGFR). According to the applicant, the 
MediBeacon[supreg] TGFR provides an assessment of glomerular filtration 
rate (GFR) at the point of care and employs an intravenously 
administered fluorescent tracer agent which has been engineered to be 
excreted exclusively by the kidneys. Per the applicant, noninvasive 
transdermal fluorescence detection of the excretion rate of the agent 
is converted into a GFR reading. We note that the applicant submitted 
an application for new technology add-on payments for this technology 
for FY 2025 (89 FR 36128 through FR 36130; 89 FR 69204) and FY 2024 (88 
FR 26954 through 26955; 88 FR 58919) under the name Transdermal GFR 
Measurement System Utilizing Lumitrace.
    The following table provides an overview of the new technology add-
on payment application for the MediBeacon[supreg] TGFR and CMS's 
preliminary assessment. For additional details provided by the 
applicant, please refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251003G1JT8.

[[Page 19443]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.096

BILLING CODE 4120-01-C
Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the MediBeacon[supreg] TGFR meets the cost 
criterion and are therefore proposing to approve the MediBeacon[supreg] 
TGFR for new technology add-on payments for FY 2027, subject to the 
technology receiving FDA marketing authorization for the indication 
corresponding to the Breakthrough Device designation by May 1, 2026.
    The applicant has not provided an estimate for the cost of the 
MediBeacon[supreg] TGFR at the time of this proposed rule. The 
applicant stated that there would be four components for the cost of 
the technology: the operating cost of Lumitrace[supreg], the operating 
cost of the TGFR Reusable Sensor, the operating cost of the TGFR 
Adhesive Ring and the capital cost of the TGFR Monitor. Because section 
1886(d)(5)(K)(i) of the Act requires that the Secretary establish a 
mechanism to recognize the costs of new medical services or 
technologies under the payment system established under that 
subsection, which establishes the system for payment of the operating 
costs of inpatient hospital services, we do not include capital costs 
in the add-on payments for a new medical service or technology or make 
new technology add-on payments under the IPPS for capital-related costs 
(86 FR 45145). Therefore, it appears that the TGFR Monitor component is 
not eligible for new technology add-on payment because, as discussed in 
prior rulemaking, we only make new technology add-on payments for 
operating costs (72 FR 47307 through 47308). We would be interested in 
additional information about the TGFR Reusable Sensor, which also 
appears to be a reusable, capital expenditure. We expect the applicant 
to submit cost information prior to the final rule, and we will provide 
an update regarding the new technology add-on payment amount for the 
technology, if approved, in the final rule. Any new technology add-on 
payment for the MediBeacon[supreg] TGFR would be subject to our policy 
under Sec.  412.88(a)(2) where we limit new technology add-on payments 
to the lesser of 65 percent of the average cost of the technology, or 
65 percent of the costs in excess of the MS-DRG payment for the case.
    We invite public comments on whether the MediBeacon[supreg] TGFR 
meets the cost criterion and our proposal to approve new technology 
add-on payments for the MediBeacon[supreg] Transdermal GFR Measurement 
System for FY 2027, subject to the technology receiving FDA marketing 
authorization as a Breakthrough Device for the indication corresponding 
to the Breakthrough Device designation by May 1, 2026.
11. Micro Medical Solutions MicroStent and the MicroStent XL Peripheral 
Vascular Stent System
    Micro Medical Solutions, Inc. submitted a FY 2027 application for 
new technology add-on payments for the Micro Medical Solutions 
MicroStent and the MicroStent XL Peripheral Vascular Stent System 
(MicroStent). According to the applicant, the MicroStent is a self-
expanding nitinol stent system for permanent implantation to improve 
luminal diameter in the treatment of ischemia in the lower leg.
    The following table provides an overview of the new technology add-
on payment application for the MicroStent and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251002M8X4J.
BILLING CODE 4120-01-P

[[Page 19444]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.097

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the MicroStent meets the cost criterion and are 
therefore proposing to approve the MicroStent for new technology add-on 
payments for FY 2027, subject to the technology receiving FDA marketing 
authorization for the indication corresponding to the Breakthrough 
Device designation by May 1, 2026.
    Based on preliminary cost information from the applicant at the 
time of this proposed rule, we are proposing that the maximum new 
technology add-on payment for a case involving the use of the 
MicroStent would be $4,550 for FY 2027 (that is, 65 percent of the 
average cost of the technology). We note that the cost information for 
this technology may be updated in the final rule based on revised or 
additional information CMS receives prior to the final rule.
    We invite public comments on whether the MicroStent meets the cost 
criterion and our proposal to approve new technology add-on payments 
for the Micro Medical Solutions MicroStent and the MicroStent XL 
Peripheral Vascular Stent System for FY 2027, subject to the technology 
receiving FDA marketing authorization for the indication corresponding 
to the Breakthrough Device designation by May 1, 2026.
12. NelliTM Seizure Monitoring System
    Neuro Event Labs submitted a FY 2027 application for new technology 
add-on payments for the NelliTM Seizure Monitoring System. 
According to the applicant, the NelliTM Seizure Monitoring 
System is a prescription-only device that is designed to be used as an 
adjunct to seizure monitoring in healthcare facilities during periods 
of rest. Per the applicant, the device utilizes automated analysis of 
audio and video (media) to identify epileptic and non-epileptic seizure 
events with a positive motor component. We note that the applicant 
submitted an application for new technology add-on payments for this 
technology for FY 2026 (90 FR 18189 through 18191; 90 FR 36770), FY2024 
(88 FR 26940 through 26942; 88 FR 58919), and FY 2023 (87 FR 28341 
through 28342; 87 FR 48960).
    The following table provides an overview of the new technology add-
on payment application for the NelliTM Seizure Monitoring 
System and CMS's preliminary assessment. For additional details 
provided by the applicant, please refer to the online application 
posting at https://mearis.cms.gov/public/publications/ntap/NTP2509294WQJJ.

[[Page 19445]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.098

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the NelliTM Seizure Monitoring 
System meets the cost criterion and are therefore proposing to approve 
the NelliTM Seizure Monitoring System for new technology 
add-on payments for FY 2027, for the FDA-cleared indication covered by 
the Breakthrough Device designation listed in the table. We consider 
the beginning of the newness period to commence on January 20, 2026, 
the date on which the NelliTM Seizure Monitoring System 
became commercially available.
    As previously noted, we do not include capital costs in the add-on 
payments for a new medical service or technology or make new technology 
add-on payments under the IPPS for capital-related costs (86 FR 45145). 
As noted, the applicant included capital costs of $89 for the PRU in 
the total technology cost. Therefore, as it appears that these costs 
are not eligible for new technology add-on payment, we note that any 
new technology add-on payment for the NelliTM Seizure 
Monitoring System would be based on only the operating costs of $1,500 
for the analysis during inpatient hospital stay. As a result, based on 
preliminary information from the applicant at the time of this proposed 
rule, we are proposing that the maximum new technology add-on payment 
for a case involving the use of the NelliTM Seizure 
Monitoring System would be $975 for FY 2027 (that is, 65% of the 
average cost of the technology). We note that the cost information for 
this technology may be updated in the final rule based on revised or 
additional information CMS receives prior to the final rule.
    We invite public comments on whether the NelliTM Seizure 
Monitoring System meets the cost criterion and our proposal to approve 
new technology add-on payments for the NelliTM Seizure 
Monitoring System for FY 2027.
13. NEXUS[supreg] Aortic Arch Stent Graft System
    ENDOSPAN submitted a FY 2027 application for new technology add-on 
payments for the NEXUS[supreg] Aortic Arch Stent Graft System. 
According to the applicant, the NEXUS[supreg] Aortic Arch Stent Graft 
System is a branched endovascular stent graft system designed 
specifically for repair of aortic arch pathologies (including 
aneurysms, chronic dissections, penetrating ulcers, and intramural 
hematoma) involving Zone 0 ascending aorta and the arch.
    The following table provides an overview of the new technology add-
on payment application for the NEXUS[supreg] Aortic Arch Stent Graft 
System and CMS's preliminary assessment. For

[[Page 19446]]

additional details provided by the applicant, please refer to the 
online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251006114Y0.
[GRAPHIC] [TIFF OMITTED] TP14AP26.099

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the NEXUS[supreg] Aortic Arch Stent Graft 
System meets the cost criterion and are therefore proposing to approve 
the NEXUS[supreg] Aortic Arch Stent Graft System for new technology 
add-on payments for FY 2027, subject to the technology receiving FDA 
marketing authorization for the indication corresponding to the 
Breakthrough Device designation by May 1, 2026.
    Based on preliminary cost information from the applicant at the 
time of this proposed rule, we are proposing that the maximum new 
technology add-on payment for a case involving the use of the 
NEXUS[supreg] Aortic Arch Stent Graft System would be $35,880 for FY 
2027 (that is, 65 percent of the average cost of the technology). We 
note that the cost information for this technology may be updated in 
the final rule based on revised or additional information CMS receives 
prior to the final rule.
    We invite public comments on whether the NEXUS[supreg] Aortic Arch 
Stent Graft System meets the cost criterion and our proposal to approve 
new technology add-on payments for the NEXUS[supreg] Aortic Arch Stent 
Graft System for FY 2027, subject to the technology receiving FDA 
marketing authorization for the indication corresponding to the 
Breakthrough Device designation by May 1, 2026.
14. OmniaSecureTM MRI SureScanTM Lead Model 3930M
    Medtronic submitted a FY 2027 application for new technology add-on 
payments for the OmniaSecureTM MRI SureScanTM 
Lead Model 3930M (OmniaSecureTM defibrillation lead). 
According to the applicant, the OmniaSecureTM defibrillation 
lead is an implantable defibrillation lead designed to deliver pacing, 
sensing, cardioversion, and defibrillation therapy for patients at risk 
of life-threatening ventricular arrhythmias.
    The following table provides an overview of the new technology add-
on payment application for the OmniaSecureTM defibrillation 
lead and CMS's preliminary assessment. For additional details provided 
by the applicant, please refer to the online application posting at 
https://mearis.cms.gov/public/publications/ntap/NTP250930Q7TFH.

[[Page 19447]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.100

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the OmniaSecureTM defibrillation 
lead meets the cost criterion and are therefore proposing to approve 
the OmniaSecureTM defibrillation lead for new technology 
add-on payments for FY 2027, for the FDA-approved indication covered by 
the Breakthrough Device designation listed in the table. We consider 
the beginning of the newness period to commence on January 7, 2026, the 
date on which the OmniaSecureTM defibrillation lead became 
commercially available.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of the 
OmniaSecureTM defibrillation lead would be $7,796.75 for FY 
2027 (that is, 65% of the average cost of the technology). We note that 
the cost information for this technology may be updated in the final 
rule based on revised or additional information CMS receives prior to 
the final rule.
    We invite public comments on whether the OmniaSecureTM 
defibrillation lead meets the cost criterion and our proposal to 
approve new technology add-on payments for the OmniaSecureTM 
MRI SureScanTM Lead Model 3930M for FY 2027.
15. PearlMatrixTM P-15 Peptide Enhanced Bone Graft
    Cerapedics, Inc. submitted a FY 2027 application for new technology 
add-on payments for PearlMatrixTM P-15 Peptide Enhanced Bone 
Graft. According to the applicant, PearlMatrixTM P-15 
Peptide Enhanced Bone Graft is a composite bone graft material 
consisting of a synthetic peptide, found naturally occurring in human 
Type I collagen (P-15), adsorbed onto calcium phosphate particles, 
which are incorporated into a fibrous collagen matrix putty as an inert 
carrier. We note that the applicant submitted an application for new 
technology add-on payments for this technology for FY 2026 (90 FR 18193 
through 18195; 90 FR 36770).
    The following table provides an overview of the new technology add-
on payment application for PearlMatrixTM P-15 Peptide 
Enhanced Bone Graft and CMS's preliminary assessment. For additional 
details provided by the applicant, please refer to the online 
application posting at https://mearis.cms.gov/public/publications/ntap/NTP251001VFM4K.

[[Page 19448]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.101

ICD-10-CM Coding
    After review of the information provided by the applicant, we note 
that subsequent to the June 18, 2025 PMA as listed in the table, a 
supplemental PMA for PearlMatrixTM P-15 Peptide Enhanced 
Bone Graft was approved on December 11, 2025,\81\ expanding the 
indication to allow implantation of the product using additional 
surgical approaches. As previously stated, under the eligibility 
criteria for approval under the alternative pathway for certain 
transformative devices, only the use of the technology for the 
indication that corresponds to the technology's Breakthrough Device 
designation would be eligible for the new technology add-on payment for 
FY 2027. Therefore, it appears that only the use of the 
PearlMatrixTM P-15 Peptide Enhanced Bone Graft in 
conjunction with a TLIF device, and the FDA Breakthrough Device 
designation it received for that use, would be relevant for purposes of 
the new technology add-on payment application for FY 2027. The 
applicant stated that effective October 1, 2025, the following ICD-10-
PCS codes could be used to uniquely describe procedures involving the 
use of the technology: XW0U0XB (Introduction of peptide enhanced bone 
void filler into joints, open approach, new technology group 11), 
XW0U3XB (Introduction of peptide enhanced bone void filler into joints, 
percutaneous approach, new technology group 11), or XW0U4XB 
(Introduction of peptide enhanced bone void filler into joints, 
percutaneous endoscopic approach, new technology group 11). We believe 
the relevant ICD-10-PCS procedure codes that would be appropriate to 
report in combination with the PearlMatrixTM P-15 Peptide 
Enhanced Bone Graft's unique ICD-10-PCS codes to identify use of the 
technology for the Breakthrough Device-designated indication would be 
the following:
---------------------------------------------------------------------------

    \81\ https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P240001S001.

---------------------------------------------------------------------------

[[Page 19449]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.102

BILLING CODE 4120-01-C
    We are inviting public comments on the use of these ICD-10-PCS 
procedure codes to identify use of the technology for the Breakthrough 
Device-designated indication for purposes of the new technology add-on 
payment, if approved.
Cost Criterion
    We agree with the applicant that PearlMatrixTM P-15 
Peptide Enhanced Bone Graft meets the cost criterion and are therefore 
proposing to approve PearlMatrixTM P-15 Peptide Enhanced 
Bone Graft for new technology add-on payments for FY 2027, for the FDA-
approved indication covered by the Breakthrough Device designation 
listed in the table and as described previously. We consider the 
beginning of the newness period to commence on June 18, 2025, the date 
on which PearlMatrixTM P-15 Peptide Enhanced Bone Graft 
received FDA marketing authorization.
    Based on preliminary cost information from the applicant at the 
time of this proposed rule, the applicant anticipated the total cost of 
PearlMatrixTM P-15 Peptide Enhanced Bone Graft to the 
hospital to be $6,500 per patient, for one 10 cc kit used per inpatient 
stay. As the applicant stated, there are capital costs of $1,300 for 
the bone graft peptide, porcine anorganic bone mineral, and fibrous 
collagen matrix. As previously discussed, we do not include capital 
costs in the add-on payments for a new medical service or technology or 
make new technology add-on payments under the IPPS for capital-related 
costs (86 FR 45145). Therefore, as it appears that the $1300 capital 
costs are not eligible for new technology add-on payment, we note that 
any new technology add-on payment for PearlMatrix P-15 Peptide Enhanced 
Bone Graft would be based on only the operating costs of $5,200 for the 
bone graft peptide, porcine anorganic bone mineral, and fibrous 
collagen matrix. As a result, we are proposing that the maximum new 
technology add-on payment for a case involving the use of 
PearlMatrixTM P-15 Peptide Enhanced Bone Graft would be 
$3,380 for FY 2027 (that is, 65 percent of the average cost of the 
technology). We note that the cost information for this technology may 
be updated in the final rule based on revised or additional information 
CMS receives prior to the final rule.
    We invite public comments on whether PearlMatrixTM P-15 
Peptide Enhanced Bone Graft meets the cost criterion and our proposal 
to approve new technology add-on payments for PearlMatrixTM 
P-15 Peptide Enhanced Bone Graft for FY 2027.
16. PMcardio[supreg] STEMI AI ECG Model
    Powerful Medical Inc. submitted a FY 2027 application for new 
technology add-on payments for the PMcardio[supreg] STEMI AI ECG Model 
(PMcardio[supreg] STEMI AI). According to the applicant, 
PMcardio[supreg] STEMI AI is a stand-alone software device intended to 
analyze resting 12-lead ECGs of patients presenting with symptoms 
suspicious for acute coronary syndromes in the hospital setting. Per 
the applicant, the technology identifies ECG patterns of STEMI/STEMI-
equivalents as an adjunctive decision support tool used by healthcare 
professionals.
    The following table provides an overview of the new technology add-
on payment application for PMcardio[supreg] STEMI AI and CMS's 
preliminary assessment. For additional details provided by the 
applicant, please refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251006JRE0P.
BILLING CODE 4120-01-P

[[Page 19450]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.103

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that PMcardio[supreg] STEMI AI meets the cost 
criterion and are therefore proposing to approve PMcardio[supreg] STEMI 
AI for new technology add-on payments for FY 2027, subject to the 
technology receiving FDA marketing authorization for the indication 
corresponding to the Breakthrough Device designation by May 1, 2026.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of PMcardio[supreg] STEMI 
AI would be $113.75 for FY 2027 (that is, 65% of the average cost of 
the technology). We note that the cost information for this technology 
may be updated in the final rule based on revised or additional 
information CMS receives prior to the final rule.
    We invite public comments on whether PMcardio[supreg] STEMI AI 
meets the cost criterion and our proposal to approve new technology 
add-on payments for the PMcardio[supreg] STEMI AI ECG Model for FY 
2027, subject to the technology receiving FDA marketing authorization 
for the indication corresponding to the Breakthrough Device designation 
by May 1, 2026.
17. SAPIEN M3 Transcatheter Mitral Valve Replacement System
    Edwards LifeSciences, LLC submitted a FY 2027 application for new 
technology add-on payments for the SAPIEN M3 Transcatheter Mitral Valve 
Replacement System (the SAPIEN M3 TMVR System). According to the 
applicant, the SAPIEN M3 TMVR System is a transcatheter system designed 
to allow for replacement of the native mitral valve in patients with 
symptomatic mitral valve regurgitation or symptomatic mitral stenosis.
    The following table provides an overview of the new technology add-
on payment application for the SAPIEN M3 TMVR System and CMS's 
preliminary assessment. For additional details provided by the 
applicant, please refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251003XXUEG.

[[Page 19451]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.104

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the SAPIEN M3 TMVR System meets the cost 
criterion and are therefore proposing to approve the SAPIEN M3 TMVR 
System for new technology add-on payments for FY 2027, for the FDA-
approved indication covered by the Breakthrough Device designation 
listed in the table. We consider the beginning of the newness period to 
commence on December 22, 2025, the date on which the SAPIEN M3 TMVR 
System received FDA marketing authorization.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of the SAPIEN M3 TMVR 
System would be $35,100 for FY 2027 (that is, 65% of the average cost 
of the technology). We note that the cost information for this 
technology may be updated in the final rule based on revised or 
additional information CMS receives prior to the final rule.
    We invite public comments on whether the SAPIEN M3 TMVR System 
meets the cost criterion and our proposal to approve new technology 
add-on payments for the SAPIEN M3 Transcatheter Mitral Valve 
Replacement System for FY 2027.
18. SetPoint System[supreg]
    SetPoint Medical Corporation submitted a FY 2027 application for 
new technology add-on payments for the SetPoint System[supreg]. 
According to the applicant, the SetPoint System[supreg] is a fully 
integrated, rechargeable, implantable vagus nerve stimulation system 
used to treat individuals with moderate to severe rheumatoid arthritis 
(RA) who have experienced a loss of efficacy, inadequate response, or 
intolerance to one or more biologic or targeted synthetic disease 
modifying antirheumatic drugs (DMARDs).
    The following table provides an overview of the new technology add-
on payment application for the SetPoint System[supreg] and CMS's 
preliminary assessment. For additional details provided by the 
applicant, please refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251006Y987F.

[[Page 19452]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.105

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the SetPoint System[supreg] meets the cost 
criterion and are therefore proposing to approve the SetPoint 
System[supreg] for new technology add-on payments for FY 2027, for the 
FDA approved indication covered by the Breakthrough Device designation 
listed in the table. We consider the beginning of the newness period to 
commence on August 21, 2025, the date on which the SetPoint 
System[supreg] became commercially available.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of the SetPoint 
System[supreg] would be $38,675 for FY 2027 (that is, 65% of the 
average cost of the technology). We note that the cost information for 
this technology may be updated in the final rule based on revised or 
additional information CMS receives prior to the final rule.
    We invite public comments on whether the SetPoint System[supreg] 
meets the cost criterion and our proposal to approve new technology 
add-on payments for the SetPoint System[supreg] for FY 2027.
19. Spur[supreg] Peripheral Retrievable Stent System
    Reflow Medical, Inc. submitted a FY 2027 application for new 
technology add-on payments for the Spur[supreg] Peripheral Retrievable 
Stent System. According to the applicant, the Spur[supreg] Peripheral 
Retrievable Stent System is used as an adjunct to percutaneous 
transluminal angioplasty (PTA) to dilate stenoses in infrapopliteal 
arteries ranging in diameter from 2.5 mm to 4.5 mm. We note that the 
applicant submitted an application for new technology add-on payments 
for this technology for FY 2026 (90 FR 18203 through 18205; 90 FR 
36770).
    The following table provides an overview of the new technology add-
on payment application for the Spur[supreg] Peripheral Retrievable 
Stent System and CMS's preliminary assessment. For additional details 
provided by the applicant, please refer to the online application 
posting at https://mearis.cms.gov/public/publications/ntap/NTP251001G2LL6.

[[Page 19453]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.106

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the Spur[supreg] Peripheral Retrievable Stent 
System meets the cost criterion and are therefore proposing to approve 
the Spur[supreg] Peripheral Retrievable Stent System for new technology 
add-on payments for FY 2027, for the FDA-approved indication covered by 
the Breakthrough Device designation listed in the table. We consider 
the beginning of the newness period to commence on May 29, 2025, the 
date on which the Spur[supreg] Peripheral Retrievable Stent System 
received FDA marketing authorization.
    Based on preliminary cost information from the applicant at the 
time of this proposed rule, we are proposing that the maximum new 
technology add-on payment for a case involving the use of the 
Spur[supreg] Peripheral Retrievable Stent System would be $2,596.75 for 
FY 2027 (that is, 65 percent of the average cost of the technology). We 
note that the cost information for this technology may be updated in 
the final rule based on revised or additional information CMS receives 
prior to the final rule.
    We invite public comments on whether the Spur[supreg] Peripheral 
Retrievable Stent System meets the cost criterion and our proposal to 
approve new technology add-on payments for the Spur[supreg] Peripheral 
Retrievable Stent System for FY 2027.
20. TrilogyTM Transcatheter Aortic Valve Regurgitation 
System
    JenaValve submitted a FY 2027 application for new technology add-on 
payments for the TrilogyTM Transcatheter Aortic Valve 
Regurgitation System. According to the applicant, the 
TrilogyTM Transcatheter Aortic Valve Regurgitation System 
for transcatheter aortic valve implantation is deployed so that the 
Transcatheter Heart Valve (THV) expands radially at the native annulus 
and clips onto the native aortic leaflets to anchor the THV. Per the 
applicant, the THV is designed to anchor in the diseased regurgitant 
aortic valve.
    The following table provides an overview of the new technology add-
on payment application for the TrilogyTM Transcatheter 
Aortic Valve Regurgitation System and CMS's preliminary assessment. For 
additional details provided by the applicant, please refer to the 
online application posting at https://mearis.cms.gov/public/publications/ntap/NTP25100691E86.

[[Page 19454]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.107

Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that the TrilogyTM Transcatheter Aortic 
Valve Regurgitation System meets the cost criterion and are therefore 
proposing to approve the TrilogyTM Transcatheter Aortic 
Valve Regurgitation System for new technology add-on payments for FY 
2027, for the FDA-approved indication covered by the Breakthrough 
Device designation listed in the table. We consider the beginning of 
the newness period to commence on March 17, 2026, the date on which the 
TrilogyTM Transcatheter Aortic Valve Regurgitation System 
received FDA marketing authorization.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of the TrilogyTM 
Transcatheter Aortic Valve Regurgitation System would be $25,675 for FY 
2027 (that is, 65% of the average cost of the technology). We note that 
the cost information for this technology may be updated in the final 
rule based on revised or additional information CMS receives prior to 
the final rule.
    We invite public comments on whether the TrilogyTM 
Transcatheter Aortic Valve Regurgitation System meets the cost 
criterion and our proposal to approve new technology add-on payments 
for the TrilogyTM Transcatheter Aortic Valve Regurgitation 
System for FY 2027.
21. ViaOneTM Epicardial Access System
    CardioVia Ltd. submitted a FY 2027 application for new technology 
add-on payments for the ViaOneTM Epicardial Access System 
(ViaOneTM). According to the applicant, ViaOneTM 
is a sterile, single use device, designed to allow safe pericardial 
access utilizing a proprietary mechanism of entry into the pericardial 
sac with a blunt tip and a concealed needle.
    The following table provides an overview of the new technology add-
on payment application for ViaOneTM and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251001MFBVW.

[[Page 19455]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.108

Newness Period
    After review of the information provided by the applicant, we note 
that, regarding commercial availability, the applicant stated that the 
technology would not be available for sale until April 27, 2026. The 
applicant stated that the original manufacturing partner permanently 
ceased operations, requiring the applicant to engage a new qualified 
manufacturer and conduct full verification and validation testing. The 
applicant also stated that delays in completion of the required FDA 
establishment registration and device listing process, and current 
aviation and international shipping constraints related to regional 
security developments are expected to further delay initial U.S. 
availability. We are interested in confirmation regarding the first 
date of availability for sale of ViaOneTM on the U.S. market 
(irrespective of purchase volume or when the first sale occurred).
Cost Criterion
    We agree with the applicant that ViaOneTM meets the cost 
criterion and are therefore proposing to approve ViaOneTM 
for new technology add-on payments for FY 2027, for the FDA-cleared 
indication covered by the Breakthrough Device designation listed in the 
table.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of ViaOneTM 
would be $1,300 for FY 2027 (that is, 65% of the average cost of the 
technology). We note that the cost information for this technology may 
be updated in the final rule based on revised or additional information 
CMS receives prior to the final rule.
    We invite public comments on whether ViaOneTM meets the 
cost criterion and our proposal to approve new technology add-on 
payments for the ViaOneTM Epicardial Access System for FY 
2027.
22. VUNO Med-DeepCARS[supreg]
    VUNO Med Inc. submitted a FY 2027 application for new technology 
add-on payments for VUNO Med-DeepCARS[supreg] (DeepCARS[supreg]). 
According to the applicant, DeepCARS[supreg] is an artificial 
intelligence based technology that monitors and assesses the risk of 
impending cardiac arrest within a 24-hour period among inpatients in 
general hospital wards.
    The following table provides an overview of the new technology add-
on payment application for DeepCARS[supreg] and CMS's preliminary 
assessment. For additional details provided by the applicant, please 
refer to the online application posting at https://mearis.cms.gov/public/publications/ntap/NTP251004DL00M.

[[Page 19456]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.109

BILLING CODE 4120-01-C
Cost Criterion
    After review of the information provided by the applicant, we agree 
with the applicant that DeepCARS[supreg] meets the cost criterion and 
are therefore proposing to approve DeepCARS[supreg] for new technology 
add-on payments for FY 2027, subject to the technology receiving FDA 
marketing authorization for the indication corresponding to the 
Breakthrough Device designation by May 1, 2026.
    Based on preliminary information from the applicant at the time of 
this proposed rule, we are proposing that the maximum new technology 
add-on payment for a case involving the use of DeepCARS[supreg] would 
be $236.66 for FY 2027 (that is, 65% of the average cost of the 
technology). We note that the cost information for this technology may 
be updated in the final rule based on

[[Page 19457]]

revised or additional information CMS receives prior to the final rule.
    We invite public comments on whether DeepCARS[supreg] meets the 
cost criterion and our proposal to approve new technology add-on 
payments for VUNO Med-DeepCARS[supreg] for FY 2027, subject to the 
technology receiving FDA marketing authorization for the indication 
corresponding to the Breakthrough Device designation by May 1, 2026.
7. Proposed Alternative Pathway Repeal for New Technology Add-on 
Payment and Outpatient Prospective Payment System (OPPS) Device Pass-
Through
    As discussed previously, in the FY 2020 and FY 2021 IPPS/LTCH PPS 
final rules (84 FR 42292 through 42297; 85 FR 58737 through 58739), we 
finalized a policy to establish an alternative inpatient new technology 
add-on payment pathway for certain transformative new devices and 
certain antimicrobial products. Under this pathway, FDA-designated 
Breakthrough Devices and QIDPs, and drugs approved under FDA's Limited 
Population Pathway for Antibacterial and Antifungal Drugs (LPAD) 
pathway (sometimes collectively referred to in this section as 
``alternative pathway designations'') are considered to be not 
substantially similar to existing technology for purposes of the new 
technology add-on payment, and do not need to meet the requirement 
under Sec.  412.87(b)(1) that the technology represent an advance that 
substantially improves, relative to technologies previously available, 
the diagnosis or treatment of Medicare beneficiaries. We also finalized 
a policy in the CY 2020 OPPS/ASC final rule to establish an alternative 
transitional pass-through payment pathway for devices that are part of 
the FDA's Breakthrough Devices Program and have received FDA marketing 
authorization for the indication covered by the Breakthrough Device 
designation (84 FR 61295 through 61296). Under this alternative 
pathway, FDA-designated Breakthrough Devices are not evaluated for 
substantial clinical improvement under Sec.  419.66(c)(2) for the 
purposes of determining device pass-through payment status. We refer 
readers to the CY 2026 OPPS/ASC final rule (90 FR 53632 through 53636) 
for additional background on the OPPS Pass-Through Payment for Devices.
    We note that the Breakthrough Devices Program is intended to help 
patients have more timely access to designated medical devices by 
expediting their development, assessment, and review.\82\ The 
Breakthrough Device designation criteria are defined in section 515B(b) 
of the FD&C Act (21 U.S.C. 360e-3(b)), which provides for a Program for 
devices that: ``(1) that provide for more effective treatment or 
diagnosis of life-threatening or irreversibly debilitating human 
disease or conditions; and (2)(A) that represent breakthrough 
technologies; (B) for which no approved or cleared alternatives exist; 
(C) that offer significant advantages over existing approved or cleared 
alternatives, including the potential, compared to existing approved 
alternatives, to reduce or eliminate the need for hospitalization, 
improve patient quality of life, facilitate patients' ability to manage 
their own care (such as through self-directed personal assistance), or 
establish long-term clinical efficiencies; or (D) the availability of 
which is in the best interest of patients.'' \83\ Per FDA guidance, a 
sponsor should demonstrate a reasonable expectation that the device 
could provide for more effective treatment or diagnosis of the disease 
or condition identified in the proposed indications for use.\84\ FDA 
defines a QIDP as ``an antibacterial or antifungal drug for human use 
intended to treat serious or life-threatening infections, including 
those caused by--(1) an antibacterial or antifungal resistant pathogen, 
including novel or emerging infectious pathogens; or (2) qualifying 
pathogens listed by the Secretary under'' section 505E(f) of the FD&C 
Act.\85\ FDA believed the LPAD pathway would facilitate development and 
approval of certain antibacterial and antifungal drugs to treat serious 
or life-threatening infections in limited populations of patients with 
unmet needs. FDA may approve an antibacterial or antifungal drug, alone 
or in combination with one or more other drugs, under the LPAD pathway, 
if: The drug is intended to treat a serious or life-threatening 
infection in a limited population of patients with unmet needs; The 
drug meets the standards for approval under section 505(c) and (d) of 
the FD&C Act or the standards for licensure under section 351 of the 
Public Health Service Act; and FDA receives a written request from the 
sponsor to approve the drug as a LPAD pathway drug.\86\
---------------------------------------------------------------------------

    \82\ Breakthrough Devices Program Guidance for Industry and Food 
and Drug Administration Staff (September 15, 2023) https://www.fda.gov/media/162413/download.
    \83\ Ibid.
    \84\ Ibid.
    \85\ Qualified Infectious Disease Product Designation Questions 
and Answers Guidance for Industry (May 2021) https://www.fda.gov/media/148480/download.
    \86\ Limited Population Pathway for Antibacterial and Antifungal 
Drugs--the LPAD Pathway (Content current as of: 03/24/2025) https://www.fda.gov/drugs/development-resources/limited-population-pathway-antibacterial-and-antifungal-drugs-lpad-pathway.
---------------------------------------------------------------------------

    As discussed in the FY 2020 IPPS/LTCH PPS rulemaking (84 FR 42292 
through 42297) and in the CY 2020 OPPS/ASC rulemaking (84 FR 61295 
through 61296), we stated that we believed that the benefits of 
addressing barriers to healthcare innovation and ensuring Medicare 
beneficiaries have access to critical and life-saving new cures and 
technologies that improve beneficiary health outcomes supported 
establishing the alternative pathway for new technology add-on payments 
and OPPS device pass-through payments. We also stated that we believed 
it was prudent to gain experience under this new alternative pathway 
for certain transformative new devices before expanding it to other 
special designations to allow us to evaluate the benefits of this 
proposed alternative pathway to facilitate beneficiary access to 
transformative new medical devices as well as any other considerations 
that may come to light after application of this new pathway (84 FR 
42296).
    As we have gained experience, we have concerns with the limited 
evaluation process for alternative pathway applications for new 
technology add-on and OPPS device pass-through payments, and after 
further consideration, we believe it is in the best interest of 
Medicare patients to refine our approach, to ensure that all new 
technologies approved for new technology add-on payment have 
demonstrated that the technology is not substantially similar to 
existing technologies and represents an advance that substantially 
improves, relative to technologies previously available, the diagnosis 
or treatment of Medicare beneficiaries. Similarly, we believe it is in 
the best interest of Medicare patients that new technologies approved 
for OPPS device pass-through payment status have demonstrated a 
substantial clinical improvement, that is, they substantially improve 
the diagnosis or treatment of an illness or injury or improve the 
functioning of a malformed body part, compared to the benefits of a 
device or devices in a previously established category or other 
available treatment. Therefore, we are proposing to repeal the 
alternative pathway for new technology add-on payment and OPPS device 
pass-through applications, and require all applicants for new 
technology add-on payments and OPPS

[[Page 19458]]

device pass-through payments to demonstrate that they meet the same 
eligibility requirements to receive add-on payments and/or pass-through 
payments. We believe this proposed requirement will better align 
spending and value and ultimately support providers in delivering the 
best, data-driven care possible. By requiring all technologies to 
demonstrate that they offer a substantial clinical improvement as part 
of our evaluation process, we believe we will be better able to make 
evidence-based decisions on which technologies should receive these 
additional payments. We believe that holding all applicants to the same 
standards and requiring all applicants to demonstrate that their 
technologies meet the same criteria maintains our focus on new and 
innovative technologies that improve beneficiary health outcomes while 
strengthening the evidence base supporting our approval decisions for 
new technology add-on payment and OPPS device pass-through payment, 
ensuring value for American taxpayers and Medicare beneficiaries.
    Therefore, we are proposing that for all applications received for 
new technology add-on payments for FY 2028 and subsequent fiscal years, 
including applications for FDA-designated Breakthrough Devices and 
QIDPs, or drugs approved under FDA's LPAD pathway, we would evaluate 
whether the technology is new and not substantially similar to an 
existing technology, and the technology must demonstrate that it meets 
the requirements under Sec.  412.87(b) that it represent an advance 
that substantially improves, relative to technologies previously 
available, the diagnosis or treatment of Medicare beneficiaries. That 
is, beginning with applications received for new technology add-on 
payments for FY 2028 and subsequent fiscal years, all applicants would 
need to meet all three of the criteria as specified at Sec.  412.87(b) 
and described earlier in this section in order to receive the 
additional payment: (1) the medical service or technology must be new; 
(2) the medical service or technology must be costly such that the DRG 
rate otherwise applicable to discharges involving the medical service 
or technology is determined to be inadequate; and (3) the service or 
technology must demonstrate a substantial clinical improvement over 
existing services or technologies. Technologies that are currently 
under review for FY 2027 new technology add-on payments under the 
alternative pathway will remain eligible for consideration for add-on 
payment under the alternative pathway. Technologies that have 
previously been approved for add-on payments under the alternative 
pathway will remain eligible for add-on payment under the alternative 
pathway. Consistent with our proposal to remove the alternative pathway 
for certain antimicrobial products currently at Sec.  
[thinsp]412.87(d), we would also remove the conditional approval 
process for a technology for which an application is submitted under 
the alternative pathway for certain antimicrobial products that does 
not receive FDA marketing authorization by July 1 prior to the fiscal 
year for which the applicant applied for new technology add-on 
payments, as currently reflected at Sec.  412.87(f)(3). Accordingly, 
beginning with the FY 2028 new technology add-on payment applications, 
in order to be eligible for consideration for the new technology add on 
payment for the upcoming fiscal year, all applicants would need to 
receive FDA marketing authorization by May 1 of the year prior to the 
beginning of the fiscal year for which the application is being 
considered, as reflected at Sec.  412.87(f)(2).
    We are proposing to amend Sec.  [thinsp]412.87 to reflect these 
proposals by revising paragraphs Sec.  [thinsp]412.87(c) and (d) and 
removing subparagraph 412.87(f)(3). We are also proposing related 
revisions to the title of paragraph (f) and subparagraphs (1) and (2) 
of paragraph (f) to reflect this proposed policy. We are also proposing 
to make a technical correction to the introductory text at Sec.  
[thinsp]412.87(d) to restore language that was previously removed in 
error, with additional revisions to reflect the proposed repeal. We are 
also proposing to make a technical correction to the introductory text 
at Sec.  412.88(a)(2)(ii)(A) to reference Sec.  412.88(a)(2)(ii)(C), 
consistent with our policy as finalized in the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69245 through 69252).
    Similarly, we are proposing that all applications received for OPPS 
device pass-through payment status on or after October 1, 2026, 
including all applications received through the remainder of the CY 
2028 OPPS application cycle ending on March 1, 2027, and applications 
received for subsequent calendar years would have to demonstrate that 
the technology met the requirements currently reflected at Sec.  
419.66(c)(2)(i). OPPS device pass-through payment applications 
submitted as of September 30, 2026, for devices that are part of the 
FDA's Breakthrough Devices Program and received FDA marketing 
authorization for the indication covered by the Breakthrough Device 
designation would be evaluated and could be approved under the 
alternative pathway, provided that all other criteria have been met. 
Existing device category codes established based on the approval, 
either preliminary or via a final determination made in an OPPS/ASC 
final rule, including any device category codes established for 
approved alternative pathway applications received as of September 30, 
2026, would continue to be eligible for device pass-through payment 
status and would remain in effect for at least 2 years, but no more 
than 3 years, consistent with Sec.  419.66(g). Previously existing 
device category codes that were no longer eligible for device pass-
through payment status would remain unchanged. We are proposing to 
revise paragraph Sec.  419.66(c)(2)(ii) to reflect this proposed 
policy, effective October 1, 2026.
    We believe these changes would be the most prudent and transparent 
method to allow us to improve our focus on facilitating payment for 
innovative, high-value technologies that improve care for Medicare 
beneficiaries. As we stated in the September 7, 2001 final rule (66 FR 
46913), we believed the special payments for new technology should be 
limited to those new technologies that have been demonstrated to 
represent a substantial improvement in caring for Medicare 
beneficiaries, such that there is a clear advantage to creating a 
payment incentive for physicians and hospitals to utilize the new 
technology. We also stated that where such an improvement was not 
demonstrated, we continued to believe the incentives of the DRG system 
would provide a useful balance to the introduction of new technologies. 
As discussed in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36672), 
even if a technology does not receive new technology add-on payments, 
CMS continues to pay for new technologies through the regular payment 
mechanism established by the DRG payment methodology. Similarly, as we 
stated in the CY 2026 OPPS/ASC final rule (90 FR 53635), if a 
technology does not obtain OPPS device pass-through payment status, 
these devices can still be used by hospitals, and hospitals will be 
paid for them through appropriate Ambulatory Payment Classifications 
(APC) payment. Whether a technology receives new technology add-on 
payments or OPPS device pass-through payments does not affect coverage 
of the technology or the ability for Medicare providers to provide such 
technology to patients where appropriate.
    In addition, we believe that holding all applicants to the same 
standards by

[[Page 19459]]

requiring all applicants to demonstrate that their technologies meet 
the same criteria would ensure that all applications undergo the same 
review process by CMS. For new technology add-on payment, this includes 
the opportunity to present at the New Technology Town Hall Meeting on 
the substantial clinical improvement criterion with regard to pending 
new technology add-on payment applications, and to have applications 
considered as part of the annual IPPS rulemaking. Furthermore, because 
the application and approval timelines for new technology add-on 
payments are the same for traditional and alternative application 
pathways, this proposal would not change the time to approval, except 
for technologies submitted under the alternative pathway for certain 
antimicrobial products, for which the conditional approval process 
would no longer be available. Likewise, for OPPS device pass-through, 
applications are submitted to CMS through the quarterly process, and 
all applications are subject to notice and comment rulemaking in the 
next applicable OPPS/ASC annual rulemaking cycle (80 FR 70417 through 
70418). Applications, regardless of the pathway under which they apply, 
that we are able to determine meet all of the criteria for device pass-
through payment under the quarterly review process may receive pass-
through payment status prior to the final determination in the OPPS/ASC 
final rule. This proposal would not change the time to approval. 
Technologies that demonstrate they meet the criteria during the 
quarterly process may receive pass-through payment status prior to the 
final determination in the OPPS/ASC final rule. Technologies that 
demonstrate they meet the criteria during notice and comment rulemaking 
would receive pass-through payment status via a final determination in 
the OPPS/ASC final rule.
    We would also be interested in information on alternate methods 
that stakeholders believe would more effectively or efficiently 
accomplish the goal of aligning payment with value by facilitating 
payment for innovative, high-value technologies that have demonstrated 
improved Medicare beneficiary health outcomes, such as alternative 
strategies for leveraging FDA designations.
    We invite public comment on our proposal to require all applicants 
for new technology add-on payments and OPPS device pass-through 
payments to demonstrate that they meet the same requirements for 
eligibility.

III. Proposed Changes to the Hospital Wage Index for Acute Care 
Hospitals

A. Background

1. Legislative Authority
    Section 1886(d)(3)(E) of the Act requires that, as part of the 
methodology for determining prospective payments to hospitals, the 
Secretary adjust the standardized amounts for area differences in 
hospital wage levels by a factor (established by the Secretary) 
reflecting the relative hospital wage level in the geographic area of 
the hospital compared to the national average hospital wage level. We 
refer to this factor as the wage index. We currently define hospital 
labor market areas based on the delineations of statistical areas 
established by the Office of Management and Budget (OMB). A discussion 
of the proposed FY 2027 hospital wage index based on the statistical 
areas appears under section III.B of the preamble of this proposed 
rule.
    Section 1886(d)(3)(E) of the Act requires the Secretary to update 
the wage index annually and to base the update on a survey of wages and 
wage-related costs of short-term, acute care hospitals. CMS collects 
these data on the Medicare cost report titled ``Hospital and Hospital 
Health Care Complex Cost Report'', Form CMS-2552-10, Worksheet S-3, 
Parts II, III, and IV. The information collection is currently approved 
under OMB control number 0938-0050 and has a September 30, 2028, 
expiration date. Section 1886(d)(3)(E) of the Act also requires that 
any updates or adjustments to the wage index be made in a manner that 
ensures that aggregate payments to hospitals are not affected by the 
change in the wage index. The proposed adjustment for FY 2027 is 
discussed in section II.B of the Addendum to this proposed rule.
    As discussed in section III.I of the preamble of this proposed 
rule, we also take into account the geographic reclassification of 
hospitals in accordance with sections 1886(d)(8)(B) and 1886(d)(10) of 
the Act when calculating IPPS payment amounts. Under section 
1886(d)(8)(D) of the Act, the Secretary is required to adjust the 
standardized amounts so as to ensure that aggregate payments under the 
IPPS after implementation of the provisions of sections 1886(d)(8)(B), 
1886(d)(8)(C), and 1886(d)(10) of the Act are equal to the aggregate 
prospective payments that would have been made absent these provisions. 
The proposed budget neutrality adjustment for FY 2027 is discussed in 
section II.A.4.b of the Addendum to this proposed rule.
    Section 1886(d)(3)(E) of the Act also provides for the collection 
of data every 3 years on the occupational mix of employees for short-
term, acute care hospitals participating in the Medicare program to 
construct an occupational mix adjustment to the wage index. The 
information collection is currently approved under OMB control number 
is 0938-0907 and expires on December 31, 2028. A discussion of the 
occupational mix adjustment that we are proposing to apply to the FY 
2027 wage index appears under section III.E of the preamble of this 
proposed rule.
2. Core-Based Statistical Areas (CBSAs) for the FY 2027 Hospital Wage 
Index
    The wage index is calculated and assigned to hospitals on the basis 
of the labor market area in which the hospital is located. In 
accordance with section 1886(d)(3)(E) of the Act, we delineate hospital 
labor market areas based on OMB-established Core-Based Statistical 
Areas (CBSAs) (FY 2005 IPPS final rule, 69 FR 49026 through 49032). In 
the July 16, 2021, Federal Register (86 FR 37777), OMB finalized a 
schedule for future updates based on results of the decennial Census 
updates to commuting patterns from the American Community Survey (ACS). 
In accordance with that schedule, on July 21, 2023, OMB released 
Bulletin No. 23-01. The current statistical areas (which were 
implemented beginning with FY 2025) are based on revised OMB 
delineations issued on July 21, 2023, in OMB Bulletin No. 23-01. 
According to OMB, the delineations reflect the 2020 Standards for 
Delineating Core Based Statistical Areas (``the 2020 Standards''), 
which appeared in the Federal Register on July 16, 2021 (86 FR 37770 
through 37778), and the application of those standards to Census Bureau 
population and journey-to-work data (that is, 2020 Decennial Census, 
ACS, and Census Population Estimates Program data) (we refer to these 
revised OMB delineations as the ``new OMB delineations'' in this 
proposed rule). A copy of OMB Bulletin No. 23-01 may be obtained at 
https://bidenwhitehouse.archives.gov/wp-content/uploads/2023/07/OMB-Bulletin-23-01.pdf. We refer readers to the FY 2025 IPPS/LTCH PPS final 
rule (89 FR 69253 through 69266) for a full discussion of our 
implementation of the new OMB delineations for the FY 2025 wage index. 
For FY 2027, we are proposing to continue to use the new OMB 
delineations that we adopted beginning with FY 2025 to calculate the 
area wage indexes and the transition periods, as we discuss below.

[[Page 19460]]

3. Codes for Constituent Counties in CBSAs
    CBSAs are made up of one or more constituent counties. Each CBSA 
and constituent county has its own unique identifying code, a Federal 
Information Processing Standard (FIPS) county code. The FIPS county 
codes are maintained by the U.S. Census Bureau. In the FY 2018 IPPS/
LTCH PPS final rule (82 FR 38129 through 38130), we adopted a policy to 
use the FIPS county codes for purposes of crosswalking counties to 
CBSAs. In addition, in the same rule, we implemented the latest FIPS 
code updates, which were effective October 1, 2017, beginning with the 
FY 2018 wage indexes. These updates have been used to calculate the 
wage indexes in a manner generally consistent with the CBSA-based 
methodologies finalized in the FY 2005 IPPS final rule and the FY 2015 
IPPS/LTCH PPS final rule (79 FR 49951 through 49963). We refer the 
reader to the FY 2018 IPPS/LTCH PPS final rule (82 FR 38129 through 
38130) for a complete discussion of our adoption of FIPS county codes. 
For FY 2027, we are proposing to continue to use the FIPS county codes 
for purposes of crosswalking counties to CBSAs. For FY 2027, Tables 2 
and 3 associated with this proposed rule and the County to CBSA 
Crosswalk File and Urban CBSAs and Constituent Counties for Acute Care 
Hospitals File posted on the CMS website reflect the latest FIPS county 
code updates.

B. Worksheet S-3 Wage Data for the Proposed FY 2027 Wage Index

1. Cost Reporting Periods Beginning in FY 2023 for FY 2027 Wage Index
    The proposed FY 2027 wage index values are based on the data 
collected from the Medicare cost reports submitted by hospitals for 
cost reporting periods beginning in FY 2023 (cost reports with a begin 
date on or after October 1, 2022 and before October 1, 2023). The FY 
2026 wage indexes were based on data from cost reporting periods 
beginning during FY 2022.
    The proposed FY 2027 wage index includes all of the following 
categories of data associated with costs paid under the IPPS (as well 
as outpatient costs):
     Salaries and hours from short-term, acute care hospitals 
(including paid lunch hours and hours associated with military leave 
and jury duty).
     Home office costs and hours.
     Certain contract labor costs and hours including direct 
patient care (which includes nursing), certain top management, 
pharmacy, laboratory, and nonteaching physician Part A services, and 
certain contract indirect patient care services (as discussed in the FY 
2008 IPPS final rule with comment period (72 FR 47315 through 47317)).
     Wage-related costs, including pension costs (based on 
policies adopted in the FY 2012 IPPS/LTCH PPS final rule (76 FR 51586 
through 51590) and modified in the FY 2016 IPPS/LTCH PPS final rule (80 
FR 49505 through 49508)) and other deferred compensation costs.
    Consistent with the wage index methodology for FY 2026, the 
proposed wage index for FY 2027 excludes the direct and overhead 
salaries and hours for services not subject to IPPS payment, such as 
skilled nursing facility (SNF) services, home health services, costs 
related to Graduate Medical Education (GME) (teaching physicians and 
residents), certified registered nurse anesthetists (CRNAs), and other 
subprovider components that are not paid under the IPPS. The proposed 
FY 2027 wage index also excludes the salaries, hours, and wage-related 
costs of hospital-based rural health clinics (RHCs), and Federally 
Qualified Health Centers (FQHCs), because Medicare pays for these costs 
outside of the IPPS (68 FR 45395). In addition, as explained in the FY 
2004 IPPS final rule (68 FR 45397 through 45398), salaries, hours, and 
wage-related costs of Critical Access Hospitals (CAHs) are excluded 
from the wage index as we believe that removing CAHs from the wage 
index is prudent policy, given the substantial negative impact these 
hospitals have on the wage indexes in the areas where they are located 
and the minimal impact they have on the wage indexes of other areas. We 
refer the reader to the FY 2004 IPPS final rule (68 FR 45397 through 
45398) for a complete discussion regarding the exclusion of CAHs from 
the wage index. Similar to our treatment of CAHs, as discussed later in 
this section, we exclude Rural Emergency Hospitals (REHs) from the wage 
index.
    For FY 2020 and subsequent years, other wage-related costs are also 
excluded from the calculation of the wage index. As discussed in the FY 
2019 IPPS/LTCH final rule (83 FR 41365 through 41369), other wage-
related costs reported on Worksheet S-3, Part II, Line 18 and Worksheet 
S-3, Part IV, Line 25 and subscripts, as well as all other wage-related 
costs, such as contract labor costs, are excluded from the calculation 
of the wage index.
2. Use of Wage Index Data by Suppliers and Providers Other Than Acute 
Care Hospitals Under the IPPS
    Data collected for the IPPS wage index also are currently used to 
calculate wage indexes applicable to suppliers and other providers, 
such as SNFs, home health agencies (HHAs), ambulatory surgical centers 
(ASCs), and hospices. In addition, they are used for prospective 
payments to Inpatient Rehabilitation Facilities (IRFs), Inpatient 
Psychiatric Facilities (IPFs), Long-Term Care Hospitals (LTCHs), and 
for hospital outpatient services. We note, in the calendar year (CY) 
2025 End-Stage Renal Disease (ESRD) PPS final rule (89 FR 89097-89116), 
CMS finalized a new ESRD PPS-specific wage index that is used to adjust 
ESRD PPS payments for geographic differences in area wages. We refer 
the reader to the CY 2025 ESRD PPS final rule for complete details 
regarding ESRD wage index. We further note that, in the IPPS rules, we 
do not address comments pertaining to the wage indexes of any supplier 
or provider except IPPS providers and LTCHs. Such comments should be 
made in response to separate proposed rules for those suppliers and 
providers.
3. Verification of Worksheet S-3 Wage Data
    The wage data for the proposed FY 2027 wage index were obtained 
from Worksheet S-3, Parts II, III and IV of the Medicare cost report, 
CMS Form 2552-10 (OMB Control Number 0938-0050 with an expiration date 
September 30, 2028) for cost reporting periods beginning on or after 
October 1, 2022, and before October 1, 2023. For wage index purposes, 
we refer to cost reports beginning on or after October 1, 2022, and 
before October 1, 2023, as the ``FY 2023 cost report,'' the ``FY 2023 
wage data,'' or the ``FY 2023 data.'' Instructions for completing the 
wage index sections of Worksheet S-3 are included in the Provider 
Reimbursement Manual (PRM), Part 2 (Pub. 15-2), Chapter 40, Sections 
4005.2 through 4005.4. The data file used to construct the FY 2027 wage 
index includes FY 2023 data submitted to us as of January 21, 2026. For 
FY 2027, the wage data was not subject to a desk review by the Medicare 
Administrative Contractors (MACs). CMS performed a review of the wage 
data to identify and resolve aberrant data, such as analyzing the data 
from a regional and national level.
    We note, in previous fiscal years, we reviewed and evaluated the 
audited wage data, and the impacts of the COVID-19 PHE on such data. 
For FY 2027, we have not identified any significant issues with the FY 
2023 wage data itself in terms of our review of this data.
    For the proposed FY 2027 wage index, we identified and excluded 68

[[Page 19461]]

providers with aberrant data that should not be included in the wage 
index. If data elements for some of these providers are corrected, we 
intend to include data from those providers in the final FY 2027 wage 
index. We also adjusted certain aberrant data and included these data 
in the wage index. For example, in situations where a hospital did not 
have documentable salaries, wages, and hours for housekeeping and 
dietary services, we imputed estimates, in accordance with policies 
established in the FY 2015 IPPS/LTCH PPS final rule (79 FR 49965 
through 49967). We instructed MACs to transmit any changes to the wage 
data no later than March 21, 2026.
    In constructing the proposed FY 2027 wage index, we included the 
wage data for facilities that were IPPS hospitals in FY 2023, inclusive 
of those facilities that have since terminated their participation in 
the program as hospitals, as long as those data did not fail any of our 
edits for reasonableness. We believe that including the wage data for 
these hospitals is, in general, appropriate to reflect the economic 
conditions in the various labor market areas during the relevant past 
period and to ensure that the current wage index represents the labor 
market area's current wages as compared to the national average of 
wages.
    As discussed in the FY 2004 IPPS final rule (68 FR 45397 through 
45398) and FY 2025 IPPS/LTCH final rule (89 FR 69268), any hospital 
that is designated as a CAH or REH by 7 days prior to the publication 
of the preliminary wage index public use file (PUF) is excluded from 
the calculation of the wage index.
    For the proposed FY 2027 wage index, we removed 7 hospitals that 
converted to CAH status and 2 hospitals that converted to REH status on 
or after January 24, 2025, the cut-off date for CAH and REH exclusion 
from the FY 2026 wage index, and through and including January 23, 
2026, the cut-off date for CAH and REH exclusion from the FY 2027 wage 
index. We also note that we removed 2 hospitals that converted to REH 
status prior to January 24, 2025. In summary, we calculated the 
proposed FY 2027 wage index using the Worksheet S-3, Parts II and III 
wage data of 3,006 hospitals.
    For the proposed FY 2027 wage index, we allotted the wages and 
hours data for a multicampus hospital among the different labor market 
areas where its campuses are located using campus full-time equivalent 
(FTE) percentages as originally finalized in the FY 2012 IPPS/LTCH PPS 
final rule (76 FR 51591). Table 2, which contains the FY 2027 wage 
index associated with this proposed rule (available via the internet on 
the CMS website), includes separate wage data for the campuses of 26 
multicampus hospitals. The following chart lists the multicampus 
hospitals by CMS certification number (CCN) and the FTE percentages on 
which the wages and hours of each campus were allotted to their 
respective labor market areas:
BILLING CODE 4120-01-P

[[Page 19462]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.110

BILLING CODE 4120-01-C
    We note that, in past years, in Table 2, we have placed a ``B'' to 
designate the subordinate campus in the fourth position of the hospital 
CCN. However, for the FY 2019 IPPS/LTCH PPS proposed and final rules 
and subsequent rules, we have moved the ``B'' to the third position of 
the CCN. Because all IPPS hospitals have a ``0'' in the third position 
of the CCN, we believe that placement of the ``B'' in this third 
position, instead of the ``0'' for the subordinate campus, is the most 
efficient method of identification and interferes the least with the 
other variable digits in the CCN. We also note that providers can have 
an additional second sub campus located in a different CBSA then the 
main campus and its other sub campus(es). Therefore, in order to 
uniquely identify a second sub campus, we place a ``C'' in the third 
position of the CCN.
4. Process for Requests for Wage Index Data Corrections
a. Process for Hospitals To Request Wage Index Data Corrections
    The preliminary, unaudited Worksheet S-3 wage data files for the 
proposed FY 2027 wage index were made available on May 23, 2025, 
through the internet on the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/wage-index-files/fy-2027-wage-index-home-page.
    On January 30, 2026, we posted a public use file (PUF) at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/wage-index-files/fy-2027-wage-index-home-page containing 
FY 2027 wage index data available as of January 30, 2026. This PUF 
contains a tab with the Worksheet S-3 wage data (which includes 
Worksheet S-3, Parts II and III wage data from cost reporting periods 
beginning on or after October 1, 2022, through September 30, 2023; that 
is, FY 2023 wage data), a tab with the occupational mix data (which 
includes data from the CY 2022 occupational mix survey, Form CMS-
10079), a tab containing the Worksheet S-3 wage data of hospitals 
deleted from the January 30, 2026 wage data PUF, and a tab containing 
the CY 2022 occupational mix data of the hospitals deleted from the 
January 30, 2026 occupational mix PUF. In a memorandum dated January 
22, 2026, we instructed all MACs to inform the IPPS hospitals that they 
service of the availability of the January 30, 2026, wage index data 
PUFs, and the process and timeframe for requesting revisions in 
accordance with the FY 2027 Hospital Wage Index Development Timetable 
available at https://www.cms.gov/files/document/fy-2027-

[[Page 19463]]

hospital-wage-index-development-time-table.pdf.
    In the interest of meeting the data needs of the public, beginning 
with the proposed FY 2009 wage index, we post an additional PUF on the 
CMS website that reflects the actual data that are used in computing 
the proposed wage index. The release of this file does not alter the 
current wage index process or schedule.
    In a memorandum dated April 16, 2025, we instructed all MACs to 
inform the IPPS hospitals that they service of the availability of the 
preliminary wage index data files and the CY 2022 occupational mix 
survey data files posted on May 23, 2025, and the process and timeframe 
for requesting revisions.
    If a hospital wished to request a change to its data as shown in 
the May 23, 2025, preliminary wage data files and occupational mix data 
files, the hospital had to submit corrections along with complete, 
detailed supporting documentation to its MAC so that the MAC received 
them by September 2, 2025. Hospitals were notified of these deadlines 
and of all other deadlines and requirements, including the requirement 
to review and verify their data as posted in the preliminary wage index 
data files on the internet, through the letters sent to them by their 
MACs.
    November 14, 2025, was the date by when MACs were required to 
transmit revised wage index data files and occupational mix data files 
to CMS. CMS published the wage index PUFs that included hospitals' 
revised wage index data on January 30, 2026. Hospitals had until 
February 17, 2026, to submit requests to the MACs to correct errors in 
the January 30, 2026, PUF due to CMS or MAC mishandling of the wage 
index data, or to revise adjustments to their wage index data as 
included in the January 30, 2026, PUF. Hospitals also were required to 
submit sufficient documentation to support their requests. Hospitals' 
requests and supporting documentation must have been received by the 
MAC by the February deadline (that is, by February 17, 2026, for the FY 
2027 wage index).
    After reviewing requested changes submitted by hospitals, MACs were 
required to transmit to CMS any additional revisions resulting from the 
hospitals' reconsideration requests by March 20, 2026. Under our 
current policy as adopted in the FY 2018 IPPS/LTCH PPS final rule (82 
FR 38153), the deadline for a hospital to request CMS intervention in 
cases where a hospital disagreed with a MAC's handling of wage data on 
any basis (including a policy, factual, or other dispute) is April 3, 
2026. Data that were incorrect in the preliminary or January 30, 2026, 
wage index data PUFs, but for which no correction request was received 
by the February 17, 2026, deadline, are not considered for correction 
at this stage. In addition, April 3, 2026, is the deadline for 
hospitals to dispute data corrections made by CMS of which the hospital 
was notified after the January 30, 2026, PUF and at least 14 calendar 
days prior to April 3, 2026 (that is, by March 20, 2026), that do not 
arise from a hospital's request for revisions. The hospital's request 
and supporting documentation must be received by CMS (and a copy 
received by the MAC) by the April deadline (that is, by April 3, 2026, 
for the FY 2027 wage index). We refer readers to the FY 2027 Hospital 
Wage Index Development Timetable for complete details.
    Hospitals were given the opportunity to examine Table 2 associated 
with this proposed rule, which is listed in section VI of the Addendum 
to this proposed rule and available via the internet on the CMS website 
at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/wage-index-files/fy-2027-wage-index-home-page. 
Table 2 associated with the proposed rule contained each hospital's 
proposed adjusted average hourly wage used to construct the wage index 
values for the past 3 years, including the proposed FY 2027 wage index, 
which was constructed from FY 2023 data. We note that the proposed 
hospital average hourly wages shown in Table 2 only reflect changes 
made to a hospital's data that were transmitted to CMS by late January 
2026.
    We plan to post the final wage index data PUFs on April 30, 2026, 
on the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/wage-index-files/fy-2027-wage-index-home-page. The April 2026 PUFs are made available solely for the 
limited purpose of identifying any potential errors made by CMS or the 
MAC in the entry of the final wage index data that resulted from the 
correction process (the process for disputing revisions submitted to 
CMS by the MACs by March 20, 2026, and the process for disputing data 
corrections made by CMS that did not arise from a hospital's request 
for wage data revisions as discussed earlier), as previously described.
    After the release of the April 2026 wage index data PUFs, changes 
to the wage and occupational mix data can only be made in those very 
limited situations involving an error by the MAC or CMS that the 
hospital could not have known about before its review of the final wage 
index data files. Specifically, neither the MAC nor CMS will approve 
the following types of requests:
     Requests for wage index data corrections that were 
submitted too late to be included in the data transmitted to CMS by the 
MACs on or before March 20, 2026.
     Requests for correction of errors that were not, but could 
have been, identified during the hospital's review of the January 30, 
2026, wage index PUFs.
     Requests to revisit factual determinations or policy 
interpretations made by the MAC or CMS during the wage index data 
correction process.
    If, after reviewing the April 2026 final wage index data PUFs, a 
hospital believes that its wage or occupational mix data are incorrect 
due to a MAC or CMS error in the entry or tabulation of the final data, 
the hospital is given the opportunity to notify both its MAC and CMS 
regarding why the hospital believes an error exists and provide all 
supporting information, including relevant dates (for example, when it 
first became aware of the error). The hospital is required to send its 
request to CMS and to the MAC so that it is received no later than May 
29, 2026. May 29, 2026, is also the deadline for hospitals to dispute 
data corrections made by CMS of which the hospital is notified on or 
after 13 calendar days prior to April 3, 2026 (that is, March 21, 
2026), and at least 14 calendar days prior to May 29, 2026 (that is, 
May 15, 2026), that did not arise from a hospital's request for 
revisions. (Data corrections made by CMS of which a hospital is 
notified on or after 13 calendar days prior to May 29, 2026 (that is, 
May 16, 2026), may be appealed to the Provider Reimbursement Review 
Board (PRRB)). In accordance with the FY 2027 Hospital Wage Index 
Development Timetable posted on the CMS website at https://www.cms.gov/files/document/fy-2027-hospital-wage-index-development-time-table.pdf, 
the May appeals are required to be submitted to CMS through an online 
submission process. We refer readers to the FY 2027 Hospital Wage Index 
Development Timetable for complete details.
    Verified corrections to the wage index data received timely (that 
is, by May 29, 2026) by CMS and the MACs will be incorporated into the 
final FY 2027 wage index, which will be effective October 1, 2026.
    We created the processes previously described to resolve all 
substantive wage index data correction disputes before we finalize the 
wage and occupational mix data for the FY 2027 payment rates. 
Accordingly, hospitals

[[Page 19464]]

that do not meet the procedural deadlines set forth earlier will not be 
afforded a later opportunity to submit wage index data corrections or 
to dispute the MAC's decision with respect to requested changes. 
Specifically, our policy is that hospitals that do not meet the 
procedural deadlines as previously set forth (requiring requests to 
MACs by the specified date in February and, where such requests are 
unsuccessful, requests for intervention by CMS by the specified date in 
April) will not be permitted to challenge later, before the PRRB, the 
failure of CMS to make a requested data revision. We refer readers also 
to the FY 2000 IPPS final rule (64 FR 41513) for a discussion of the 
parameters for appeals to the PRRB for wage index data corrections. As 
finalized in the FY 2018 IPPS/LTCH PPS final rule (82 FR 38154 through 
38156), this policy also applies to a hospital disputing corrections 
made by CMS that do not arise from a hospital's request for a wage 
index data revision. That is, a hospital disputing an adjustment made 
by CMS that did not arise from a hospital's request for a wage index 
data revision is required to request a correction by the first 
applicable deadline. Hospitals that do not meet the procedural 
deadlines set forth earlier will not be afforded a later opportunity to 
submit wage index data corrections or to dispute CMS' decision with 
respect to changes.
    Again, we believe the wage index data correction process described 
earlier provides hospitals with sufficient opportunity to bring errors 
in their wage and occupational mix data to the MAC's attention. 
Moreover, because hospitals will have access to the final wage index 
data PUFs by late April 2026, they have an opportunity to detect any 
data entry or tabulation errors made by the MAC or CMS before the 
development and publication of the final FY 2027 wage index by August 
2026, and the implementation of the FY 2027 wage index on October 1, 
2026. Given these processes, the wage index implemented on October 1 
should be accurate. Nevertheless, in the event that errors are 
identified by hospitals and brought to our attention after May 29, 
2026, we retain the right to make midyear changes to the wage index 
under very limited circumstances.
    Specifically, in accordance with Sec.  412.64(k)(1) of our 
regulations, we make midyear corrections to the wage index for an area 
only if a hospital can show that: (1) the MAC or CMS made an error in 
tabulating its data; and (2) the requesting hospital could not have 
known about the error or did not have an opportunity to correct the 
error, before the beginning of the fiscal year. For purposes of this 
provision, ``before the beginning of the fiscal year'' means by the May 
deadline for making corrections to the wage data for the following 
fiscal year's wage index (for example, May 29, 2026, for the FY 2027 
wage index). This provision is not available to a hospital seeking to 
revise another hospital's data that may be affecting the requesting 
hospital's wage index for the labor market area. As indicated earlier, 
because CMS makes the wage index data available to hospitals on the CMS 
website prior to publishing both the proposed and final IPPS rules, and 
the MACs notify hospitals directly of any wage index data changes, we 
do not expect that midyear corrections will be necessary. However, 
under our current policy, if the correction of a data error changes the 
wage index value for an area, the revised wage index value will be 
effective prospectively from the date the correction is made.
    In the FY 2006 IPPS final rule (70 FR 47385 through 47387 and 
47485), we revised Sec.  412.64(k)(2) to specify that, effective 
October 1, 2005, that is, beginning with the FY 2006 wage index, a 
change to the wage index can be made retroactive to the beginning of 
the Federal fiscal year only when CMS determines all of the following: 
(1) the MAC or CMS made an error in tabulating data used for the wage 
index calculation; (2) the hospital knew about the error and requested 
that the MAC and CMS correct the error using the established process 
and within the established schedule for requesting corrections to the 
wage index data, before the beginning of the fiscal year for the 
applicable IPPS update (that is, by the May 29, 2026, deadline for the 
FY 2027 wage index); and (3) CMS agreed before October 1 that the MAC 
or CMS made an error in tabulating the hospital's wage index data and 
the wage index should be corrected.
    In those circumstances where a hospital requested a correction to 
its wage index data before CMS calculated the final wage index (that 
is, by the May 29, 2026 deadline for the FY 2027 wage index), and CMS 
acknowledges that the error in the hospital's wage index data was 
caused by CMS' or the MAC's mishandling of the data, we believe that 
the hospital should not be penalized by our delay in publishing or 
implementing the correction. As with our current policy, we indicated 
that the provision is not available to a hospital seeking to revise 
another hospital's data. In addition, the provision cannot be used to 
correct prior years' wage index data; it can only be used for the 
current Federal fiscal year. In situations where our policies will 
allow midyear corrections other than those specified in Sec.  
412.64(k)(2)(ii), we continue to believe that it is appropriate to make 
prospective-only corrections to the wage index.
    We note that, as with prospective changes to the wage index, the 
final retroactive correction will be made irrespective of whether the 
change increases or decreases a hospital's payment rate. In addition, 
we note that the policy of retroactive adjustment will still apply in 
those instances where a final judicial decision reverses a CMS denial 
of a hospital's wage index data revision request.
b. Process for Data Corrections by CMS After the January 30, 2026, 
Public Use File (PUF)
    The process set forth with the wage index timetable discussed in 
section III.C.4 of the preamble of this proposed rule allows hospitals 
to request corrections to their wage index data within prescribed 
timeframes. In addition to hospitals' opportunity to request 
corrections of wage index data errors or MACs' mishandling of data, CMS 
has the authority under section 1886(d)(3)(E) of the Act to make 
corrections to hospital wage index and occupational mix data to ensure 
the accuracy of the wage index. As we explained in the FY 2016 IPPS/
LTCH PPS final rule (80 FR 49490 through 49491) and the FY 2017 IPPS/
LTCH PPS final rule (81 FR 56914), section 1886(d)(3)(E) of the Act 
requires the Secretary to adjust the proportion of hospitals' costs 
attributable to wages and wage-related costs for area differences 
reflecting the relative hospital wage level in the geographic areas of 
the hospital compared to the national average hospital wage level. We 
believe that, under section 1886(d)(3)(E) of the Act, we have 
discretion to make corrections to hospitals' data to help ensure that 
the costs attributable to wages and wage-related costs in fact 
accurately reflect the relative hospital wage level in the hospitals' 
geographic areas.
    We have a multistep, 15-month process for the review and correction 
of the hospital wage data that is used to create the IPPS wage index 
for the upcoming fiscal year. Since the origin of the IPPS, the wage 
index has been subject to its own annual review process. As noted 
above, for the development of the FY 2027 wage index, the wage data was 
not subject to a desk review by the MACs. As in past years, CMS 
conducted its own review of the data and, if necessary, hospitals

[[Page 19465]]

provide additional documentation, adjustments, or corrections to the 
data. This ongoing communication with hospitals about their wage data 
may result in the discovery by CMS of additional items that were 
reported incorrectly or other data errors, even after the posting of 
the January 30, 2026, PUF, and throughout the remainder of the wage 
index development process. In addition, the fact that CMS analyzes the 
data from a regional and even national level, can facilitate additional 
editing of the data. In these occasional instances, an error may be of 
sufficient magnitude that the wage index of an entire CBSA is affected. 
Accordingly, CMS uses its authority to ensure that the wage index 
accurately reflects the relative hospital wage level in the geographic 
area of the hospital compared to the national average hospital wage 
level, by continuing to make corrections to hospital wage data upon 
discovering incorrect wage data, distinct from instances in which 
hospitals request data revisions.
    We note that CMS corrects errors to hospital wage data as 
appropriate, regardless of whether that correction will raise or lower 
a hospital's average hourly wage. For example, as discussed in section 
III.C of the preamble of the FY 2019 IPPS/LTCH PPS final rule (83 FR 
41364), in situations where a hospital did not have documentable 
salaries, wages, and hours for housekeeping and dietary services, we 
imputed estimates, in accordance with policies established in the FY 
2015 IPPS/LTCH PPS final rule (79 FR 49965 through 49967). Furthermore, 
for example, if a positive adjustment resulting from a prior year's 
wage index appeal of a hospital's wage-related costs such as pension 
costs was not incorporated in the data, CMS can correct the data error, 
and the hospital's average hourly wage will likely increase as a 
result.
    While we maintain CMS' authority to conduct additional review and 
make resulting corrections at any time during the wage index 
development process, in accordance with the policy finalized in the FY 
2018 IPPS/LTCH PPS final rule (82 FR 38154 through 38156) and as first 
implemented with the FY 2019 wage index (83 FR 41389), hospitals are 
able to request further review of a correction made by CMS that did not 
arise from a hospital's request for a wage index data correction. 
Instances where CMS makes a correction to a hospital's data after the 
January 30, 2026, PUF based on a different understanding than the 
hospital about certain reported costs, for example, could potentially 
be resolved using this process before the final wage index is 
calculated. We believe this process and the timeline for requesting 
review of such corrections (as described earlier and in the FY 2018 
IPPS/LTCH PPS final rule) promote additional transparency in instances 
where CMS makes data corrections after the January 30, 2026 PUF and 
provide opportunities for hospitals to request further review of CMS 
changes in time for the most accurate data to be reflected in the final 
wage index calculations. These additional appeals opportunities are 
described earlier and in the FY 2027 Hospital Wage Index Development 
Timetable, as well as in the FY 2018 IPPS/LTCH PPS final rule (82 FR 
38154 through 38156).

C. Method for Computing the Proposed FY 2027 Unadjusted Wage Index

    The method used to compute the proposed FY 2027 wage index without 
an occupational mix adjustment follows the same methodology that we 
used to compute the wage indexes without an occupational mix adjustment 
in the FY 2021 IPPS/LTCH PPS final rule (see 85 FR 58758 through 
58761), and we are not proposing any changes to this methodology. We 
have restated our methodology in this preamble section of this proposed 
rule.
    Step 1.--We gathered data from each of the non-Federal, short-term, 
acute care hospitals for which data were reported on the Worksheet S-3, 
Parts II and III of the Medicare cost report for the hospital's cost 
reporting period relevant to the wage index (in this case, for FY 2027, 
these were data from cost reports for cost reporting periods beginning 
on or after October 1, 2022, and before October 1, 2023). In addition, 
we included data from hospitals that had cost reporting periods 
beginning prior to the October 1, 2022, begin date and extending into 
FY 2023 but that did not have any cost report with a begin date on or 
after October 1, 2022, and before October 1, 2023. We include this data 
because no other data from these hospitals will be available for the 
cost reporting period as previously described, and because particular 
labor market areas might be affected due to the omission of these 
hospitals. However, we generally describe these wage data as data 
applicable to the fiscal year wage data being used to compute the wage 
index for those hospitals. We note that, if a hospital had more than 
one cost reporting period beginning during FY 2023 (for example, a 
hospital had two short cost reporting periods beginning on or after 
October 1, 2022, and before October 1, 2023), we include wage data from 
only one of the cost reporting periods, the longer, in the wage index 
calculation. If there was more than one cost reporting period and the 
periods were equal in length, we included the wage data from the later 
period in the wage index calculation.
    Step 2.--Salaries.--The method used to compute a hospital's average 
hourly wage excludes certain costs that are not paid under the IPPS. 
(We note that, beginning with FY 2008 (72 FR 47315), we included what 
were then Lines 22.01, 26.01, and 27.01 of Worksheet S-3, Part II of 
CMS Form 2552-96 for overhead services in the wage index. Currently, 
these lines are lines 28, 33, and 35 on CMS Form 2552-10. However, we 
note that the wages and hours on these lines are not incorporated into 
Line 101, Column 1 of Worksheet A, which, through the electronic cost 
reporting software, flows directly to Line 1 of Worksheet S-3, Part II. 
Therefore, the first step in the wage index calculation is to compute a 
``revised'' Line 1, by adding to the Line 1 on Worksheet S-3, Part II 
(for wages and hours respectively) the amounts on Lines 28, 33, and 35. 
In calculating a hospital's Net Salaries (we note that we previously 
used the term ``average'' salaries in the FY 2012 IPPS/LTCH PPS final 
rule (76 FR 51592), but we now use the term ``net'' salaries) plus 
wage-related costs, we first compute the following: Subtract from Line 
1 (total salaries) the GME and CRNA costs reported on CMS Form 2552-10, 
Lines 2, 4.01, 7, and 7.01, the Part B salaries reported on Lines 3, 5 
and 6, home office salaries reported on Line 8, and exclude salaries 
reported on Lines 9 and 10 (that is, direct salaries attributable to 
SNF services, home health services, and other subprovider components 
not subject to the IPPS). We also subtract from Line 1 the salaries for 
which no hours were reported. Therefore, the formula for Net Salaries 
(from Worksheet S-3, Part II) is the following:

((Line 1 + Line 28 + Line 33 + Line 35)-(Line 2 + Line 3 + Line 4.01 + 
Line 5 + Line 6 + Line 7 + Line 7.01 + Line 8 + Line 9 + Line 10)).

    To determine Total Salaries plus Wage-Related Costs, we add to the 
Net Salaries the costs of contract labor for direct patient care, 
certain top management, pharmacy, laboratory, and nonteaching physician 
Part A services (Lines 11, 12 and 13), home office salaries and wage-
related costs reported by the hospital on Lines 14.01, 14.02, 15.01 and 
15.02, and nonexcluded area wage-related costs (Lines 17, 22, 25.50, 
25.51, and 25.52). We note that contract labor and home office salaries 
for which no corresponding hours are reported are not included. In 
addition, wage-related costs for nonteaching physician Part A

[[Page 19466]]

employees (Line 22) are excluded if no corresponding salaries are 
reported for those employees on Line 4.
    As noted above, the proposed FY 2027 wage index values are based on 
the data collected from the Medicare cost reports submitted by 
hospitals for cost reporting periods beginning in FY 2023 (cost reports 
with a begin date on or after October 1, 2022 and before October 1, 
2023). Per the instructions in Section 4005.2, Part II, Hospital Wage 
Index Information, of the Provider Reimbursement Manual, for cost 
reporting periods on or after October 1, 2015 and before October 1, 
2022, hospitals reported salaries and hours for Home Office (and 
related organizations) Physician Part A--Administrative direct 
employees and employees under contract on Worksheet S3, Part II, Line 
15.
    Per the instructions in Section 4005.2, Part II, Hospital Wage 
Index Information, of the Provider Reimbursement Manual, for cost 
reporting periods on or after October 1, 2022, line 15 has been split 
into two lines with hospitals reporting salaries and hours for Home 
Office (and related organizations) Physician Part A--Administrative 
direct employees on Line 15.01 and salaries and hours for Home Office 
(and related organizations) Physicians Part A--Administrative under 
contract on Line 15.02. Since the FY 2027 wage index uses cost reports 
with a begin date in FY 2023, we propose including Lines 15.01 and 
15.02 in the calculation of the FY 2027 wage index and future fiscal 
years.
    In reviewing the wage data used for FY 2027, approximately 61 
hospitals reported salaries and hours on Line 15 instead of Lines 15.01 
and 15.02. Because this is the first year we are using Lines 15.01 and 
15.02 and hospitals are still adjusting to this reporting change, for 
FY 2027, we are proposing to use Line 15 in the wage index calculation 
in addition to lines 15.01 and 15.02. We believe using Line 15 for the 
FY 2027 wage index will minimize disparities in the FY 2027 wage index 
by ensuring that the data informing the calculation are applied 
uniformly.
    The formula for Total Salaries plus Wage-Related Costs (from 
Worksheet S-3, Part II) is the following:

((Line 1 + Line 28 + Line 33 + Line 35)-(Line 2 + Line 3 + Line 4.01 + 
Line 5 + Line 6 + Line 7 + Line 7.01 + Line 8 + Line 9 + Line 10)) + 
(Line 11 + Line 12 + Line 13 + Line 14.01 + 14.02 + Line 15 + Line 
15.01 + Line 15.02) + (Line 17 + Line 22 + 25.50 + 25.51 + 25.52).

    As noted above, for FY 2027 we are proposing to include Lines 15, 
15.01 and Line 15.02 in this calculation. We are further proposing to 
use Lines 15.01 and 15.02 instead of Line 15 for future fiscal years.
    Step 3.--Hours.--With the exception of wage-related costs, for 
which there are no associated hours, we compute total hours using the 
same methods as described for salaries in Step 2. The formula for Total 
Hours (from Worksheet S-3, Part II) is the following:

((Line 1 + Line 28 + Line 33 + Line 35)-(Line 2 + Line 3 + Line 4.01 + 
Line 5 + Line 6 + Line 7 + Line 7.01 + Line 8 + Line 9 + Line 10)) + 
(Line 11 + Line 12 + Line 13 + Line 14.01 + 14.02 + Line 15 + Line 
15.01 + Line 15.02).

    As noted above, for FY 2027 we are proposing to include Lines 15, 
15.01 and Line 15.02 in this calculation. We are further proposing to 
use Lines 15.01 and 15.02 instead of Line 15 for future fiscal years.
    Step 4.--For each hospital reporting both total overhead salaries 
and total overhead hours greater than zero, we then allocate overhead 
costs to areas of the hospital excluded from the wage index 
calculation. First, we determine the ``excluded rate'', which is the 
ratio of excluded area hours to Revised Total Hours (from Worksheet S-
3, Part II) with the following formula:

(Line 9 + Line 10)/(Line 1 + Line 28 + Line 33 + Line 35)-(Lines 2, 3, 
4.01, 5, 6, 7, 7.01, and 8 and Lines 26 through 43).

    We then compute the amounts of overhead salaries and hours to be 
allocated to the excluded areas by multiplying the previously discussed 
ratio by the total overhead salaries and hours reported on Lines 26 
through 43 of Worksheet S-3, Part II. Next, we compute the amounts of 
overhead wage-related costs to be allocated to the excluded areas using 
three steps:
     We determine the ``overhead rate'' (from Worksheet S-3, 
Part II), which is the ratio of overhead hours (Lines 26 through 43 
minus the sum of Lines 28, 33, and 35) to revised hours excluding the 
sum of lines 28, 33, and 35 (Line 1 minus the sum of Lines 2, 3, 4.01, 
5, 6, 7, 7.01, 8, 9, 10, 28, 33, and 35). We note that, for the FY 2008 
and subsequent wage index calculations, we have been excluding the 
overhead contract labor (Lines 28, 33, and 35) from the determination 
of the ratio of overhead hours to revised hours because hospitals 
typically do not provide fringe benefits (wage-related costs) to 
contract personnel. Therefore, it is not necessary for the wage index 
calculation to exclude overhead wage-related costs for contract 
personnel. Further, if a hospital does contribute to wage-related costs 
for contracted personnel, the instructions for Lines 28, 33, and 35 
require that associated wage-related costs be combined with wages on 
the respective contract labor lines. The formula for the Overhead Rate 
(from Worksheet S-3, Part II) is the following:

(Lines 26 through 43-Lines 28, 33 and 35)/((((Line 1 + Lines 28, 33, 
35)-(Lines 2, 3, 4.01, 5, 6, 7, 7.01, 8, and 26 through 43))-(Lines 9 
and 10)) + (Lines 26 through 43-Lines 28, 33, and 35)).

     We compute overhead wage-related costs by multiplying the 
overhead hours ratio by wage-related costs reported on Part II, Lines 
17, 22, 25.50, 25.51, and 25.52.
     We multiply the computed overhead wage-related costs by 
the previously described excluded area hours ratio.
    Finally, we subtract the computed overhead salaries, wage-related 
costs, and hours associated with excluded areas from the total salaries 
(plus wage-related costs) and hours derived in Steps 2 and 3.
    Step 5.--For each hospital, we adjust the total salaries plus wage-
related costs to a common period to determine total adjusted salaries 
plus wage-related costs. To make the wage adjustment, we estimate the 
percentage change in the employment cost index (ECI) for compensation 
for each 30-day increment from October 14, 2022, through April 15, 
2024, for private industry hospital workers from data obtained from the 
Bureau of Labor Statistics' (BLS') Office of Compensation and Working 
Conditions. We use the ECI because it reflects the price increase 
associated with total compensation (salaries plus fringe benefits) 
rather than just the increase in salaries. In addition, the ECI 
includes managers as well as other hospital workers. This methodology 
to compute the monthly update factors uses actual quarterly ECI data 
and assures that the update factors match the actual quarterly and 
annual percent changes. We have consistently used the ECI as the data 
source for our wages and salaries and other price proxies in the IPPS 
market basket, and we are not proposing to make any changes to the 
usage of the ECI for FY 2027. The factors used to adjust the hospital's 
data are based on the midpoint of the cost reporting period, as 
indicated in this proposed rule.
    Step 6.--Each hospital is assigned to its appropriate urban or 
rural labor market area before any reclassifications

[[Page 19467]]

under section 1886(d)(8)(B), 1886(d)(8)(E), or 1886(d)(10) of the Act. 
Within each urban or rural labor market area, we add the total adjusted 
salaries plus wage-related costs obtained in Step 5 for all hospitals 
in that area to determine the total adjusted salaries plus wage-related 
costs for the labor market area.
    Step 7.--We divide the total adjusted salaries plus wage-related 
costs obtained under Step 6 by the sum of the corresponding total hours 
(from Step 4) for all hospitals in each labor market area to determine 
an average hourly wage for the area.
    Step 8.--We add the total adjusted salaries plus wage-related costs 
obtained in Step 5 for all hospitals in the Nation and then divide the 
sum by the national sum of total hours from Step 4 to arrive at a 
national average hourly wage.
    Step 9.--For each urban or rural labor market area, we calculate 
the hospital wage index value, unadjusted for occupational mix, by 
dividing the area average hourly wage obtained in Step 7 by the 
national average hourly wage computed in Step 8.
    Step 10.--For each urban labor market area for which we do not have 
any hospital wage data (either because there are no IPPS hospitals in 
that labor market area, or there are IPPS hospitals in that area but 
their data are either too new to be reflected in the current year's 
wage index calculation, or their data are aberrant and are deleted from 
the wage index), we finalized in the FY 2020 IPPS/LTCH PPS final rule 
(84 FR 42305) that, for FY 2020 and subsequent years' wage index 
calculations, such CBSAs' wage index will be equal to total urban 
salaries plus wage-related costs (from Step 5) in the State, divided by 
the total urban hours (from Step 4) in the State, divided by the 
national average hourly wage from Step 8 (see 84 FR 42305 and 42306). 
We believe that, in the absence of wage data for an urban labor market 
area, it is reasonable to use a statewide urban average, which is based 
on actual, acceptable wage data of hospitals in that State, rather than 
impute some other type of value using a different methodology. For 
calculation of the FY 2027 wage index, we note there is one urban CBSA 
for which we do not have IPPS hospital wage data. In Table 3 (which is 
available via the internet on the CMS website and contains the area 
wage indexes), we include a footnote to indicate to which CBSA this 
policy applies. This CBSA's wage index is calculated as described, 
based on the FY 2020 IPPS/LTCH PPS final rule methodology (84 FR 
42305). Under this step, we also apply our policy with regard to how 
dollar amounts, hours, and other numerical values in the wage index 
calculations are rounded.
    We refer readers to section II of Appendix B of this proposed rule 
for the policy regarding rural areas that do not have IPPS hospitals.
    Step 11.-- Section 4410 of Public Law 105-33 provides that, for 
discharges on or after October 1, 1997, the area wage index applicable 
to any hospital that is located in an urban area of a State may not be 
less than the area wage index applicable to hospitals located in rural 
areas in that State. The areas affected by this provision are 
identified in Table 2 listed in section VI of the Addendum to this 
proposed rule and available via the internet on the CMS website.
    The following is our policy with regard to rounding of the wage 
data (dollar amounts, hours, and other numerical values) in the 
calculation of the unadjusted and adjusted wage index, as finalized in 
the FY 2020 IPPS/LTCH final rule (84 FR 42306). For data that we 
consider to be ``raw data,'' such as the cost report data on Worksheets 
S-3, Parts II and III, and the occupational mix survey data, we use 
such data ``as is,'' and do not round any of the individual line items 
or fields. However, for any dollar amounts within the wage index 
calculations, including any type of summed wage amount, average hourly 
wages, and the national average hourly wage (both the unadjusted and 
adjusted for occupational mix), we round the dollar amounts to 2 
decimals. For any hour amounts within the wage index calculations, we 
round such hour amounts to the nearest whole number. For any numbers 
not expressed as dollars or hours within the wage index calculations, 
which could include ratios, percentages, or inflation factors, we round 
such numbers to 5 decimals. However, we continue rounding the actual 
unadjusted and adjusted wage indexes to 4 decimals, as we have done 
historically.
    As discussed in the FY 2012 IPPS/LTCH PPS final rule, in ``Step 
5,'' for each hospital, we adjust the total salaries plus wage-related 
costs to a common period to determine total adjusted salaries plus 
wage-related costs. To make the wage adjustment, we estimate the 
percentage change in the ECI for compensation for each 30-day increment 
from October 14, 2022, through April 15, 2024, for private industry 
hospital workers from the BLS' Office of Compensation and Working 
Conditions data. We have consistently used the ECI as the data source 
for our wages and salaries and other price proxies in the IPPS market 
basket, and we are not proposing any changes to the usage of the ECI 
for FY 2027. The factors used to adjust the hospital's data were based 
on the midpoint of the cost reporting period, as indicated in the 
following table.

[[Page 19468]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.111

    For example, the midpoint of a cost reporting period beginning 
January 1, 2023, and ending December 31, 2023, is June 30, 2023. An 
adjustment factor of 1.02991 was applied to the wages of a hospital 
with such a cost reporting period.
    Previously, we would also provide a Puerto Rico overall average 
hourly wage. As discussed in the FY 2017 IPPS/LTCH PPS final rule (81 
FR 56915), prior to January 1, 2016, Puerto Rico hospitals were paid 
based on 75 percent of the national standardized amount and 25 percent 
of the Puerto Rico-specific standardized amount. As a result, we 
calculated a Puerto Rico specific wage index that was applied to the 
labor-related share of the Puerto Rico-specific standardized amount. 
Section 601 of Division O, Title VI (section 601) of the Consolidated 
Appropriations Act, 2016 (Pub. L. 114-113) amended section 
1886(d)(9)(E) of the Act to specify that the payment calculation with 
respect to operating costs of inpatient hospital services of a 
subsection (d) Puerto Rico hospital for inpatient hospital discharges 
on or after January 1, 2016, shall use 100 percent of the national 
standardized amount. As we stated in the FY 2017 IPPS/LTCH PPS final 
rule (81 FR 56915 through 56916), because Puerto Rico hospitals are no 
longer paid with a Puerto Rico specific standardized amount as of 
January 1, 2016, under section 1886(d)(9)(E) of the Act, as amended by 
section 601 of the Consolidated Appropriations Act, 2016, there is no 
longer a need to calculate a Puerto Rico specific average hourly wage 
and wage index. Hospitals in Puerto Rico are now paid 100 percent of 
the national standardized amount and, therefore, are subject to the 
national average hourly wage (unadjusted for occupational mix) and the 
national wage index, which is applied to the national labor-related 
share of the national standardized amount. Therefore, for FY 2027, 
there is no Puerto Rico-specific overall average hourly wage or wage 
index.
    Based on the previously described methodology, the proposed FY 2027 
unadjusted national average hourly wage is the following:
[GRAPHIC] [TIFF OMITTED] TP14AP26.112

D. Proposed Occupational Mix Adjustment to the FY 2027 Wage Index
    As stated earlier, section 1886(d)(3)(E) of the Act provides for 
the collection of data every 3 years on the occupational mix of 
employees for each short-term, acute care hospital participating in the 
Medicare program, to construct an occupational mix adjustment to the 
wage index, for application beginning October 1, 2004 (the FY 2005 wage 
index). The purpose of the occupational mix adjustment is to control 
for the effect of hospitals' employment choices on the wage index. For 
example, hospitals may choose to employ different combinations of 
registered nurses, licensed practical nurses, nursing aides, and 
medical assistants for the purpose of providing nursing care to their 
patients. The varying labor costs associated with these choices reflect 
hospital management decisions rather than geographic differences in the 
costs of labor.
1. Use of 2022 Medicare Wage Index Occupational Mix Survey for the FY 
2027 Wage Index
    Section 304(c) of Appendix F, Title III of the Consolidated 
Appropriations Act, 2001 (Pub. L. 106-554) amended section 
1886(d)(3)(E) of the Act to require CMS to collect data every 3 years 
on the occupational mix of employees for each short-term, acute care 
hospital participating in the Medicare program and to measure the 
earnings and paid hours of employment for such hospitals by 
occupational category. As discussed in the FY 2025 IPPS/LTCH PPS final 
rule (89 FR 69275 through 69278), we collected data in 2022 to compute 
the occupational mix adjustment for the FY 2025, FY 2026, and FY 2027 
wage indexes.
    The FY 2027 occupational mix adjustment is based on a calendar year 
(CY) 2022 survey. Hospitals were required to submit their completed 
2022

[[Page 19469]]

surveys (Form CMS-10079, OMB Control Number 0938-0907, expiration date 
December 31, 2028) to their MACs by July 1, 2023. The preliminary, 
unaudited CY 2022 survey data were posted on the CMS website on July 
12, 2023.
2. Calculation of the Occupational Mix Adjustment for FY 2027
    For FY 2027, we are proposing to calculate the occupational mix 
adjustment factor using the same methodology that we have used since 
the FY 2012 wage index (76 FR 51582 through 51586) and to apply the 
occupational mix adjustment to 100 percent of the FY 2027 wage index. 
In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42308), we modified our 
methodology with regard to how dollar amounts, hours, and other 
numerical values in the unadjusted and adjusted wage index calculation 
are rounded, to ensure consistency in the calculation. According to the 
policy finalized in the FY 2020 IPPS/LTCH PPS final rule (84 FR 42308 
and 42309), for data that we consider to be ``raw data,'' such as the 
cost report data on Worksheets S-3, Parts II and III, and the 
occupational mix survey data, we continue to use these data ``as is'', 
and not round any of the individual line items or fields. However, for 
any dollar amounts within the wage index calculations, including any 
type of summed wage amount, average hourly wages, and the national 
average hourly wage (both the unadjusted and adjusted for occupational 
mix), we round such dollar amounts to 2 decimals. We round any hour 
amounts within the wage index calculations to the nearest whole number. 
We round any numbers not expressed as dollars or hours in the wage 
index calculations, which could include ratios, percentages, or 
inflation factors, to 5 decimals. However, we continue rounding the 
actual unadjusted and adjusted wage indexes to 4 decimals, as we have 
done historically.
    Similar to the method we use for the calculation of the wage index 
without occupational mix, salaries and hours for a multicampus hospital 
are allotted among the different labor market areas where its campuses 
are located. Table 2 associated with this proposed rule (which is 
available via the internet on the CMS website), which contains the 
proposed FY 2027 occupational mix adjusted wage index, includes 
separate wage data for the campuses of multicampus hospitals. We refer 
readers to section III.C of the preamble of this proposed rule for a 
chart listing the multicampus hospitals and the FTE percentages used to 
allot their occupational mix data.
    Because the statute requires that the Secretary measure the 
earnings and paid hours of employment by occupational category not less 
than once every 3 years, all hospitals that are subject to payments 
under the IPPS, or any hospital that will be subject to the IPPS if not 
granted a waiver, must complete the occupational mix survey, unless the 
hospital has no associated cost report wage data that are included in 
the proposed FY 2027 wage index. For the proposed FY 2027 wage index, 
we used the Worksheet S-3, Parts II and III wage data of 3,006 
hospitals, and we used the occupational mix surveys of 2,922 hospitals 
for which we also had Worksheet S-3 wage data, which represented a 
``response'' rate of 97 percent (2,922/3,006). For the proposed FY 2027 
wage index, we applied proxy data for noncompliant hospitals, new 
hospitals, or hospitals that submitted erroneous or aberrant data in 
the same manner that we applied proxy data for such hospitals in the FY 
2012 wage index occupational mix adjustment (76 FR 51586). As a result 
of applying this methodology, the proposed FY 2027 occupational mix 
adjusted national average hourly wage is the following:
[GRAPHIC] [TIFF OMITTED] TP14AP26.113

3. Deadline for Submitting the 2025 Medicare Wage Index Occupational 
Mix Survey for Use Beginning With the FY 2028 Wage Index
    A new measurement of occupational mix is required for FY 2028. The 
FY 2028 occupational mix adjustment will be based on a new calendar 
year (CY) 2025 survey. The CY 2025 survey (Form CMS-10079, OMB Control 
Number 0938-0907, expiration date December 31, 2028) received OMB 
approval on December 30, 2025. The final CY 2025 Occupational Mix 
Survey Hospital Reporting Form is available on the CMS website at: 
https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/wage-index-files/2025-occupational-mix-survey-hospital-reporting-form-cms-10079-wage-index-beginning-fy-2028. Hospitals are 
required to submit their completed 2025 surveys to their MACs by June 
30, 2026. The preliminary, unaudited CY 2025 survey data will be posted 
on the CMS website in mid-July 2026. As with the Worksheet S-3, Parts 
II and III cost report wage data, CMS and the MACs may revise or verify 
data elements in hospitals' occupational mix surveys as part of the FY 
2028 wage index development process.
4. Proposed Occupational Mix Adjustment and the Proposed FY 2027 
Occupational Mix Adjusted Wage Index
    As discussed in section III.E of the preamble of this proposed 
rule, for FY 2027, we are applying the occupational mix adjustment to 
100 percent of the FY 2027 wage index. We calculated the occupational 
mix adjustment using data from the 2022 occupational mix survey, using 
the methodology described in the FY 2012 IPPS/LTCH PPS final rule (76 
FR 51582-51586).
    Based on the 2022 occupational mix survey data, the proposed FY 
2027 national average hourly wages for each occupational mix nursing 
subcategory as calculated in Step 2 of the occupational mix calculation 
are as follows:
[GRAPHIC] [TIFF OMITTED] TP14AP26.114


[[Page 19470]]


    The proposed national average hourly wage for the entire nurse 
category is computed in Step 5 of the occupational mix calculation. 
Hospitals with a nurse category average hourly wage (as calculated in 
Step 4) of greater than the national nurse category average hourly wage 
receive an occupational mix adjustment factor (as calculated in Step 6) 
of less than 1.0. Hospitals with a nurse category average hourly wage 
(as calculated in Step 4) of less than the national nurse category 
average hourly wage receive an occupational mix adjustment factor (as 
calculated in Step 6) of greater than 1.0.
    Based on the 2022 occupational mix survey data, we determined (in 
Step 7 of the occupational mix calculation) the following:
[GRAPHIC] [TIFF OMITTED] TP14AP26.115

E. Hospital Redesignations and Reclassifications

    The following sections III.E.1 through III.E.4 discuss revisions to 
the wage index based on hospital redesignations and reclassifications. 
Specifically, hospitals may have their geographic area changed for wage 
index payment by applying for urban to rural reclassification under 
section 1886(d)(8)(E) of the Act (implemented at Sec.  412.103), 
reclassification by the Medicare Geographic Classification Review Board 
(MGCRB) under section 1886(d)(10) of the Act, Lugar status 
redesignations under section 1886(d)(8)(B) of the Act, or a combination 
of the foregoing.
1. Urban to Rural Reclassification Under Section 1886(d)(8)(E) of the 
Act, Implemented at Sec.  412.103
    Under section 1886(d)(8)(E) of the Act, a qualifying prospective 
payment hospital located in an urban area may apply for rural status 
for payment purposes separate from reclassification through the MGCRB. 
Specifically, section 1886(d)(8)(E) of the Act provides that, not later 
than 60 days after the receipt of an application (in a form and manner 
determined by the Secretary) from a subsection (d) hospital that 
satisfies certain criteria, the Secretary shall treat the hospital as 
being located in the rural area (as defined in paragraph (2)(D)) of the 
State in which the hospital is located. We refer readers to the 
regulations at Sec.  412.103 for the general criteria and application 
requirements for a subsection (d) hospital to reclassify from urban to 
rural status in accordance with section 1886(d)(8)(E) of the Act (such 
hospitals are referred to herein as ``Sec.  412.103 hospitals''). The 
FY 2012 IPPS/LTCH PPS final rule (76 FR 51595 through 51596) includes 
our policies regarding the effect of wage data from reclassified or 
redesignated hospitals. We refer readers to the FY 2024 IPPS/LTCH final 
rule (88 FR 58971 through 58977) for a review of our policy finalized 
in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49004) to calculate the 
rural floor with the wage data of urban hospitals reclassifying to 
rural areas under Sec.  412.103, and discussion of our modification to 
the calculation of the rural wage index and its implications for the 
rural floor.
    In the FY 2019 IPPS/LTCH PPS final rule (83 FR 41369 through 
41374), we codified certain policies regarding multicampus hospitals in 
the regulations at Sec. Sec.  412.92, 412.96, 412.103, and 412.108. We 
stated that reclassifications from urban to rural under Sec.  412.103 
apply to the entire hospital (that is, the main campus and its remote 
location(s)). We also stated that a main campus of a hospital cannot 
obtain Sole Community Hospital (SCH), Rural Referral Center (RRC), or 
Medicare Dependent Hospital (MDH) status, or rural reclassification 
under Sec.  412.103, independently or separately from its remote 
location(s), and vice versa. In the FY 2023 IPPS/LTCH PPS final rule 
(87 FR 49012 and 49013), we added Sec.  412.103(a)(8) to clarify that 
for a multicampus hospital, approved rural reclassification status 
applies to the main campus and any remote location located in an urban 
area, including a main campus or any remote location deemed urban under 
section 1886(d)(8)(B) of the Act. If a remote location of a hospital is 
located in a different CBSA than the main campus of the hospital, it is 
CMS' longstanding policy to assign that remote location a wage index 
based on its own geographic area to comply with the statutory 
requirement to adjust for geographic differences in hospital wage 
levels (section 1886(d)(3)(E) of the Act). Hospitals are required to 
identify and allocate wages and hours based on FTEs for remote 
locations located in different CBSAs on Worksheet S-2, Part I, Lines 
165 and 166 of form CMS-2552-10. In calculating wage index values, CMS 
identifies the allocated wage data for these remote locations in Table 
2 with a ``B'' in the 3rd position of the CCN. These remote locations 
of hospitals with Sec.  412.103 rural reclassification status in a 
different CBSA are identified in Table 2, and hospitals should evaluate 
potential wage index outcomes for their remote location(s) when 
terminating MGCRB reclassification, or canceling Sec.  412.103 rural 
reclassification status.
    As discussed at Sec.  412.103(f), the duration of an approved rural 
reclassification remains in effect without need for reapproval unless 
there is a change in the circumstances under which the classification 
was approved. If a hospital located in an urban area was approved for a 
rural reclassification under Sec.  412.103(a)(1), that reclassification 
will no longer be valid if the hospital is no longer located within a 
rural census tract of an MSA as determined by the Federal Office of 
Rural Health Policy (FORHP) of the Health Resources and Services 
Administration (HRSA). Therefore, we encourage all hospitals and CAHs 
with active rural reclassifications under section 1886(d)(8)(E) of the 
Act to review their original reclassification application and determine 
whether the reclassification status will still apply.
    Finally, in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69280), CMS 
finalized a policy regarding terminated or ``tied-out'' hospitals, to 
address our concerns regarding the impacts these hospitals would have 
on rural wage index values. Specifically, we finalized a policy that 
Sec.  412.103 reclassifications would be considered cancelled for the 
purposes of calculating the area wage index for any hospital with a CCN 
listed as terminated or ``tied-out'' as of the date that the hospital 
ceased to operate with an active CCN. We stated that we will obtain and 
review the best available CCN termination status lists as of the Sec.  
412.103(b)(6) ``lock-in'' date (60 days after the proposed rule for the 
FY is displayed in the Federal Register), consistent with the wage 
index development timeline. The lock-in date is used to determine 
whether a hospital has been approved for Sec.  412.103 reclassification 
in time for that status to be included in the upcoming year's wage 
index development.
    We noted that our policy to consider Sec.  412.103 
reclassifications cancelled for the purposes of calculating area wage

[[Page 19471]]

index for any hospital with a CCN listed as terminated or ``tied-out'' 
is not intended to alter or affect the qualification for Critical 
Access Hospital (CAH), Sole Community Hospital (SCH), or Rural 
Emergency Hospital (REH) statuses or to have other effects unrelated to 
hospital wage index calculations. The rural reclassification status 
will remain in effect for any period that the original PPS hospital 
remains in operation with an active CCN. For REH qualification 
requirement purposes, this will include the date of enactment of the 
Consolidated Appropriations Act, 2021 (Pub. L. 116-260), which was 
December 27, 2020.
2. General Policies and Effects of MGCRB Reclassification and Treatment 
of Dual Reclassified Hospitals
    Under section 1886(d)(10) of the Act, the MGCRB considers 
applications by hospitals for geographic reclassification for purposes 
of payment under the IPPS. Hospitals must apply to the MGCRB to 
reclassify not later than 13 months prior to the start of the fiscal 
year for which reclassification is sought (usually by September 1). 
Generally, hospitals must be proximate to the labor market area to 
which they are seeking reclassification and must demonstrate 
characteristics similar to hospitals located in that area. The MGCRB 
issues its decisions not later than the end of February for 
reclassifications that become effective for the following fiscal year 
(beginning October 1). The regulations applicable to reclassifications 
by the MGCRB are located in Sec. Sec.  412.230 through 412.280. (We 
refer readers to a discussion in the FY 2002 IPPS final rule (66 FR 
39874 and 39875) regarding how the MGCRB defines mileage for purposes 
of the proximity requirements.) The general policies for 
reclassifications and redesignations and the policies for the effects 
of hospitals' reclassifications and redesignations on the wage index 
are discussed in the FY 2012 IPPS/LTCH PPS final rule for the FY 2012 
final wage index (76 FR 51595 and 51596).
    In addition, in the FY 2012 IPPS/LTCH PPS final rule, we discussed 
the effects on the wage index of urban hospitals reclassifying to rural 
areas under Sec.  412.103. In the FY 2020 IPPS/LTCH PPS final rule (84 
FR 42332 through 42336), we finalized a policy to exclude the wage data 
of urban hospitals reclassifying to rural areas under Sec.  412.103 
from the calculation of the rural floor, but we reverted to the pre-FY 
2020 policy in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49002 
through 49004). Hospitals that are geographically located in States 
without any rural areas are ineligible to apply for rural 
reclassification in accordance with the provisions of Sec.  412.103.
    On April 21, 2016, we published an interim final rule with comment 
period (IFC) in the Federal Register (81 FR 23428 through 23438) that 
included provisions amending our regulations to allow hospitals 
nationwide to have simultaneous Sec.  412.103 urban to rural and MGCRB 
reclassifications. Prior to this amendment to the regulations, 
hospitals had to choose between a Sec.  412.103 urban to rural 
reclassification which confers other rural benefits (Medicare 
provisions such as payments to disproportionate share hospitals (DSHs), 
and non-Medicare payment provisions, such as the 340B Drug Pricing 
Program administered by HRSA) besides the wage index under section 
1886(d) of the Act or a reclassification under the MGCRB to solely 
increase its wage index. Under the amended regulations, a hospital that 
has an active MGCRB reclassification and is then approved for an urban 
to rural reclassification under Sec.  412.103 will not lose its MGCRB 
reclassification. Additionally, a hospital is no longer required to 
cancel its Sec.  412.103 reclassification in order to be approved for 
an MGCRB reclassification. By amending the regulations and allowing a 
hospital to pursue reclassification under the MGCRB while also 
maintaining a rural reclassification under Sec.  412.103, hospitals are 
accorded the benefits of a Sec.  412.103 urban to rural 
reclassification and the ability to use distance and average hourly 
wage criteria designated for rural hospitals to obtain a higher wage 
index value through an MGCRB reclassification. We note, for wage index 
calculation and payment purposes, when there is both a Sec.  412.103 
reclassification and an MGCRB reclassification, the MGCRB 
reclassification controls for wage index calculation and payment 
purposes.
    Prior to FY 2024, we excluded hospitals with Sec.  412.103 urban to 
rural redesignations from the calculation of the reclassified rural 
wage index if they also have an active MGCRB reclassification to 
another area. That is, if an application for urban reclassification 
through the MGCRB is approved and is not terminated by the hospital 
within the established timelines, we considered the hospital's 
geographic CBSA and the urban CBSA to which the hospital is 
reclassified under the MGCRB for the wage index calculation. We refer 
readers to the April 21, 2016, IFC (81 FR 23428 through 23438) and the 
FY 2017 IPPS/LTCH PPS final rule (81 FR 56922 through 56930), in which 
we finalized the April 21, 2016, IFC, for a full discussion of the 
effect of simultaneous reclassifications under both the Sec.  412.103 
and the MGCRB processes on wage index calculations. For FY 2024 and 
subsequent years, we refer readers to the FY 2024 IPPS/LTCH PPS final 
rule for discussion of our policy to include hospitals with a Sec.  
412.103 reclassification that also have an active MGCRB 
reclassification to another area in the calculation of the reclassified 
rural wage index (88 FR 58971 through 58977).
3. MGCRB Reclassification Issues for FY 2027
a. FY 2027 Reclassification Application Requirements and Approvals
    As previously stated, under section 1886(d)(10) of the Act, the 
MGCRB considers applications by hospitals for geographic 
reclassification for purposes of payment under the IPPS. The specific 
procedures and rules that apply to the geographic reclassification 
process are outlined in regulations under 42 CFR 412.230 through 
412.280. There are 707 hospitals approved for wage index 
reclassifications by the MGCRB starting in FY 2027. Because MGCRB wage 
index reclassifications are effective for 3 years, for FY 2027, 
hospitals reclassified beginning in FY 2025 or FY 2026 are eligible to 
continue to be reclassified to a particular labor market area based on 
such prior reclassifications for the remainder of their 3-year period. 
There were 242 hospitals approved for wage index reclassifications in 
FY 2025 that will continue for FY 2027, and 263 hospitals approved for 
wage index reclassifications in FY 2026 that will continue for FY 2027. 
Of all the hospitals approved for reclassification for FY 2025, FY 
2026, and FY 2027, 1,212 hospitals (approximately 37 percent of IPPS 
hospitals) are in a MGCRB reclassification status for FY 2027 (with 331 
of these hospitals reclassified back to their urban geographic 
location). We note that several hospitals approved for MGCRB 
reclassifications may opt to terminate this status after the proposed 
rule, and in some cases prior year reclassification would become 
effective in its place. We refer readers to section III.F.3.b of the 
preamble of this proposed rule for information on the effects of 
implementation of the new OMB delineations on reclassified hospitals.
    Under the regulations at Sec.  412.273, hospitals that have applied 
to be reclassified by the MGCRB are permitted to withdraw their 
applications if the request for withdrawal is received by the MGCRB any 
time before the MGCRB issues a

[[Page 19472]]

decision on the application. Hospitals are also permitted to terminate 
an approved reclassification after the MGCRB issues a decision, 
provided the request for termination is received by the MGCRB within 45 
days of the date of filing for public inspection of the proposed rule 
at the website of the Office of the Federal Register, or within 7 
calendar days of receiving a decision of the Administrator's in 
accordance with Sec.  412.273, whichever is later.
    For information about the current process for withdrawing a 3-year 
MGCRB reclassification application, terminating an approved 3-year 
MGCRB reclassification, or canceling a previous termination of a 3-year 
reclassification for wage index purposes, we refer readers to Sec.  
412.273, as well as section III.E.3.b of the preamble of this proposed 
rule, the FY 2002 IPPS final rule (66 FR 39887 through 39888), and the 
FY 2003 IPPS final rule (67 FR 50065 through 50066). Additional 
discussion on withdrawals and terminations was included in the FY 2008 
IPPS final rule (72 FR 47333), the FY 2018 IPPS/LTCH PPS final rule (82 
FR 38148 through 38150), and the FY 2026 IPPS/LTCH PPS final rule (90 
FR 36847 through 36848).
    Applications for FY 2028 reclassifications are due to the MGCRB by 
September 1, 2026. This is also the current deadline for canceling a 
previous wage index reclassification termination (reinstating a 
reclassification) under Sec.  412.273(d) for the FY 2027 cycle.
    Applications and other information about MGCRB reclassifications 
may be obtained beginning in mid-July 2026 via the internet on the CMS 
website at https://www.cms.gov/medicare/regulations-guidance/geographic-classification-review-board. This collection of information 
is approved under OMB Control Number 0938-0573 and expires on February 
28, 2029.
b. Proposed Revisions to Sec.  412.230(c)(1) to Address Ferry Routes
    The regulation at 412.230(c)(1) requires that hospitals seeking 
reclassification to an area must submit appropriate data relating to 
its proximity to the area, including evidence of the shortest route 
over improved roads to the area and the distance of that route as 
proximity data. The MGCRB has denied reclassification requests using 
ferry routes, but these decisions were overturned via administrative 
appeal.
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69281), commenters 
suggested revising the proximity data regulations to include waterways 
traveled by ferry boats as equivalent to travel over improved roads. 
CMS agreed that a modification to Sec.  412.230(c)(1) could reduce 
unnecessary appeals.
    Therefore, we are proposing to modify 412.230(c)(1) to include 
ferry routes when mapping the shortest route. This change would 
minimize appeals of MGCRB decisions and reduce administrative burden 
for both CMS and hospitals. This proposal is consistent with our 
definition of mileage for purposes of proximity in the FY 2002 IPPS 
Final Rule (66 FR 39874-39875), where we stated that we believe that 
mileage should continue to be measured by the shortest route over 
improved roads maintained by any local, State, or Federal government 
entity for public use. Since most ferry routes are maintained by local, 
State, or Federal government entities for public transportation over 
water, similar to bridges, we consider it appropriate to treat them as 
improved roads.
    We would apply the same measurement method for miles traveled on 
land to those traveled by ferry boat over water. That is, the MGCRB 
requires providers to submit map evidence from nationally recognized 
electronic mapping services (e.g., Google Maps, Bing Maps, MapQuest) 
showing the shortest route over improved roads from the front entrance 
of the hospital to the county line of the requested area and the 
distance of that route.\87\ Miles traveled by ferry boat would also 
need to be mapped using a nationally recognized electronic mapping 
service and included as evidence of the shortest route.
---------------------------------------------------------------------------

    \87\ MGCRB Rules 5.2(A)(1), available at https://www.cms.gov/medicare/regulations-guidance/geographic-classification-review-board/mgcrb-rules.
---------------------------------------------------------------------------

    We are proposing to revise the regulations at 412.230(c)(1) to 
state: ``To demonstrate proximity to the area, the hospital must submit 
evidence from a nationally recognized electronic mapping service of the 
shortest route from the front entrance of the hospital over improved 
roads or waterways traveled by ferry boats to the county line of the 
requested area and the distance of that route.'' We seek comment on 
this proposal.
c. Proposed Clarification Regarding the Data Used for Reclassifying to 
an Area With a Lower Wage Index (412.230(a)(5)(i))
    MGCRB reclassifications are approved for a 3-year period, and when 
evaluating a hospital's request for reclassification, effective with 
reclassifications for FY 2003, section 1886(d)(10)(D)(vi)(II) of the 
Act requires that the MGCRB must use the average of the most recent 
hospital wage survey data and the data from each of the two immediately 
preceding surveys. These data requirements are described in regulation 
at Sec.  412.230(d)(2). CMS publishes this data in a ``Three Year MGCRB 
Reclassification Data Applications'' file during each application cycle 
on the CMS website.\88\ We believe that using 3-year data improves wage 
index consistency, and reduces the likelihood that a single year of 
aberrant wage data in given area would impact the ability of hospitals 
to obtain geographic reclassification.
---------------------------------------------------------------------------

    \88\ https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/wage-index-files.
---------------------------------------------------------------------------

    To be approved for an MGCRB reclassification, hospitals, in 
general, must demonstrate that their average hourly wage data is, on 
average, greater than their geographic area, and is similar to the area 
to which they seek to be reclassified. As described at Sec.  
412.230(a)(5)(i), hospitals also must demonstrate that the area to 
which they are reclassifying has a higher pre-reclassification wage 
index than the area they are geographically located. It has come to our 
attention that some view the data requirement of Sec.  412.230(a)(5)(i) 
to be ambiguous and believe using only a single year of wage data is 
acceptable. It is CMS' longstanding position that, for all average 
hourly wage criteria described under Sec.  412.230, the three-year 
weighted average data is required for approval by the MGCRB. To remove 
any ambiguity, we are therefore proposing to revise Sec.  
412.230(a)(5)(i) to explicitly state that the data submitted must 
comply with the requirements of Sec.  412.230(d)(2). That is, for 
purposes of meeting the criterion at Sec.  412.230(a)(5)(i), we are 
affirming that the most recent three-year average hourly wage data must 
be submitted for hospitals located in both the area the applicant is 
located, and hospitals in the area to which reclassification is sought. 
This clarification is consistent with prior decisions made by the 
MGCRB, and the required usage of published 3-year data has been upheld 
on appeal through the Administrator's review process. We seek comment 
on this proposal.
d. Proposed Revisions to 412.230 To Waive Wage Data Comparisons for 
Hospitals Reclassifying to Home
    As discussed in the FY 2022 IPPS/LTCH PPS final rule (86 FR 45188-
45190), urban hospitals with Sec.  412.103 rural reclassifications are 
eligible to

[[Page 19473]]

obtain MGCRB reclassifications to receive the wage index of another 
area. In that rulemaking, CMS also discussed the option of such a 
hospital reclassifying to its geographic labor market area, or its 
``home'' area. When approved for a home area reclassification, the 
hospital may obtain the benefits of rural status, while receiving the 
wage index applied to other hospitals in its geographic urban area. 
These home area reclassifications have become significantly more common 
since FY 2022 rule, with nearly a quarter of all MGCRB approvals being 
to the hospital's geographic home area in FY 2026. Under current 
regulations, obtaining a home area reclassification is a relatively 
simple process. There would be no proximity requirement, as the 
hospital is physically located in the labor market to which it is 
seeking reclassification. As discussed in the May 10, 2021 Interim 
final rule with comment period (86 FR 24736-24738) and in the FY 2022 
IPPS/LTCH PPS final rule (86 FR 45188-45190), CMS described several 
options to obtain MGCRB reclassification for hospitals with Sec.  
412.103 reclassification. For example, in meeting the criterion at 
Sec.  412.230(a)(5)(i), restricting MGCRB reclassifications to labor 
market areas with lower pre-reclassified wages than the area the 
hospital is located, CMS allowed an urban hospital with a Sec.  412.103 
rural reclassification to be considered located either in its 
geographic area or in the rural area of the State. Regarding the 
criteria at Sec.  412.230(d)(1)(iii)(C), confirming that the hospital's 
wages are above average for its area (the 106/108 percent criterion), 
Sec.  412.103 hospitals are permitted to compare their average hourly 
wage data to either the other hospitals in its geographic area, or to 
the hospitals in the state's rural labor market area. Additionally, 
many Sec.  412.103 hospitals also have obtained rural referral center 
status. The provision at Sec.  412.230(d)(3)(i) waives the average 
hourly wage comparison requirement at Sec.  412.230(d)(1)(iii)(C) for 
rural referral centers.
    The only criterion that most home area reclassification applicants 
are required to meet is at Sec.  412.230(d)(1)(iv). That is, if a 
hospital with a rural reclassification demonstrates that its 3-year 
average hourly wage is at least 82 percent of the average hourly wage 
of its own geographic labor market area (the area to which it is 
seeking a home area MGCRB reclassification), the MGCRB application 
would be approved. The 82 percent criterion was initially determined to 
cover more than two standard deviations of wage variance within any 
given labor market area. Given these factors, it would be exceptionally 
rare for any hospital with a rural reclassification to be denied a home 
area MGCRB reclassification.
    However, we are aware of a circumstance in which a home area MGCRB 
reclassification would be denied. The published wage data used for 
MGCRB reclassification is based on cost report data that could be up to 
three years old. Newly established hospitals (or remote locations of 
hospitals located in a different labor market area than the main campus 
of the hospital) would not yet have a cost report included in the 
current fiscal year wage index development process, and no average 
hourly wage data would be published. In this case, these hospitals and 
remote locations would not be eligible for individual MGCRB 
reclassification due to their inability to meet the Sec.  
412.230(d)(1)(iv) average hourly wage comparison.
    Individual hospitals are required to have at least one year of 
published average hourly wage data in order to receive a wage index 
reclassification. Newly established hospitals or remote locations 
without published wage data that are included in a county group 
reclassification (Sec.  412.232 and Sec.  412.234) with other hospitals 
are eligible for approval. However, individual reclassification 
requests would be denied. We believe this is the appropriate policy, as 
the MGCRB is required to review wage data to determine whether it is 
appropriate to grant an individual hospital the wage index of another 
labor market area. However, given the unique nature of a home area 
reclassification, it is difficult to see what policy objective would be 
achieved by denying a hospital a wage index based on its own geographic 
area. Therefore, we are proposing to waive the application of Sec.  
412.230(d)(1)(iv) for a hospital requesting reclassification to its 
geographic home area. Specifically, we are proposing to add an 
exception Sec.  412.230(d)(6) to waive the application of requirements 
of Sec.  412.230(d)(1)(iv) for hospitals with Sec.  412.103 rural 
reclassification and are seeking MGCRB reclassification to their 
geographic labor market area. While CMS continues to have concerns with 
hospitals using Sec.  412.103 in order to enhance the state's rural 
floor, the scenario we are addressing would only affect situations 
where the inability to obtain a home area reclassification could lead 
to lower wage index value for the hospital. In such a case, a hospital 
would have the option to cancel its rural reclassification per the 
provision at Sec.  412.103(g), and receive the wage index of its 
geographic urban area. However, there are situations where canceling 
rural reclassification would have significant financial impacts on the 
hospital, particularly in scenarios where a hospital operates in 
multiple urban labor market areas. For example, if a hospital with a 
Sec.  412.103 reclassification opens or acquires a remote location in a 
different urban labor market area, we apply a separate wage index to 
that remote location based on its location and reclassification status. 
That remote location would be ineligible for individual MGCRB 
reclassification until CMS reviewed a cost report that allocates wages 
between the inpatient locations. In this case, the new remote location 
would be assigned its state's rural wage index based on the main 
campus' rural status, not the urban wage index for its geographic area.
    Given that the large majority of hospitals with Sec.  412.103 rural 
reclassifications can obtain home area MGCRB reclassification, we see 
no compelling policy justification to restrict reclassification in such 
a narrow circumstance. The few hospitals potentially affected by this 
proposed policy would not have published wage data for at least first 
year of any MGCRB reclassification and, therefore, would have a 
negligible impact on the accuracy or consistency of overall wage index 
values. We believe this proposal to waive the application of Sec.  
412.230(d)(1)(iv) for hospitals requesting reclassification to its 
geographic home area would provide an equitable opportunity to obtain a 
competitive wage index for affected hospitals.
    We seek comment on this proposal.
4. Redesignations Under Section 1886(d)(8)(B) of the Act
a. Lugar Status Determinations
    In the FY 2012 IPPS/LTCH PPS final rule (76 FR 51599 through 
51600), we adopted the policy that, beginning with FY 2012, an eligible 
hospital that waives its Lugar status to receive the out-migration 
adjustment has effectively waived its deemed urban status and, thus, is 
rural for all purposes under the IPPS effective for the fiscal year in 
which the hospital receives the outmigration adjustment. In addition, 
in that rule, we adopted a minor procedural change that will allow a 
Lugar hospital that qualifies for and accepts the out-migration 
adjustment (through written notification to CMS within 45 days from the 
issuance of the proposed rule in the Federal Register) to waive its 
urban status for the full 3-

[[Page 19474]]

year period for which its out-migration adjustment is effective. By 
doing so, such a Lugar hospital will no longer be required during the 
second and third years of eligibility for the out-migration adjustment 
to advise us annually that it prefers to continue being treated as 
rural and receive the out-migration adjustment. In the FY 2017 IPPS/
LTCH PPS final rule (81 FR 56930), we further clarified that if a 
hospital wishes to reinstate its urban status for any fiscal year 
within this 3-year period, it must send a request to CMS within 45 days 
of the issuance of the proposed rule in the Federal Register for that 
particular fiscal year. We indicated that such reinstatement requests 
may be sent electronically to [email protected]. In the FY 2018 
IPPS/LTCH PPS final rule (82 FR 38147 through 38148), we finalized a 
policy revision to require a Lugar hospital that qualifies for and 
accepts the out-migration adjustment, or that no longer wishes to 
accept the out-migration adjustment and instead elects to return to its 
deemed urban status, to notify CMS within 45 days from the date of 
public display of the proposed rule at the Office of the Federal 
Register. These revised notification timeframes were effective 
beginning October 1, 2017. In addition, in the FY 2018 IPPS/LTCH PPS 
final rule (82 FR 38148), we clarified that both requests to waive and 
to reinstate Lugar status may be sent to [email protected]. To 
ensure proper accounting, we request hospitals to include their CCN, 
and either ``waive Lugar'' or ``reinstate Lugar'', in the subject line 
of these requests. When applicable, this election will result in a 
cancelation of a hospital's rural reclassification status under Sec.  
412.103, effective October 1, 2026. We also inform hospitals that for 
the request to be approved, the hospital must terminate any active 
MGCRB reclassification. All requests, once approved, will remain in 
effect for the remainder of the 3-year out-migration adjustment period.
    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42314 and 42315), we 
clarified that in circumstances where an eligible hospital elects to 
receive the outmigration adjustment within 45 days of the public 
display date of the proposed rule at the Office of the Federal Register 
in lieu of its Lugar wage index reclassification, and the county in 
which the hospital is located will no longer qualify for an 
outmigration adjustment when the final rule (or a subsequent correction 
notice) wage index calculations are completed, the hospital's request 
to accept the outmigration adjustment will be denied, and the hospital 
will be automatically assigned to its deemed urban status under section 
1886(d)(8)(B) of the Act. We stated that final rule wage index values 
will be recalculated to reflect this reclassification, and in some 
instances, after taking into account this reclassification, the out-
migration adjustment for the county in question could be restored in 
the final rule. However, as the hospital is assigned a Lugar 
reclassification under section 1886(d)(8)(B) of the Act, it will be 
ineligible to receive the county outmigration adjustment under section 
1886(d)(13)(G) of the Act.

F. Proposed Wage Index Adjustments: Rural Floor, Imputed Floor, State 
Frontier Floor, Out-Migration Adjustment, Cap on Wage Index Decrease 
Policies, and Continuation of Transition for the Discontinuation of the 
Low Wage Index Hospital Policy

    The following adjustments to the wage index are listed in the order 
that they are generally applied. First, the rural floor, imputed floor, 
and state frontier floor provide a minimum wage index. The rural floor 
at section 4410(a) of the Balanced Budget Act of 1997 (Pub. L. 105-33) 
provides that the wage index for hospitals in urban areas of a State 
may not be less than the wage index applicable to hospitals located in 
rural areas in that State. The imputed floor at section 
1886(d)(3)(E)(iv) of the Act provides a wage index minimum for all-
urban states. The state frontier floor at section 1886(d)(3)(E)(iii) of 
the Act generally requires that hospitals in frontier states cannot be 
assigned a wage index of less than 1.00. Next, the out-migration 
adjustment at section 1886(d)(13)(A) of the Act is applied, potentially 
increasing the wage index for hospitals located in certain counties 
that have a relatively high percentage of hospital employees who reside 
in the county but work in a different county or counties with a higher 
wage index. Finally, all hospital wage index decreases are capped at 5 
percent of the hospital's final wage index in the prior fiscal year, 
such that a hospital's wage index would not be less than 95 percent of 
its final wage index for the prior fiscal year, according to the policy 
finalized in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49018 through 
49021).
1. Rural Floor
    Section 4410(a) of the Balanced Budget Act of 1997 (Pub. L. 105-33) 
provides that, for discharges on or after October 1, 1997, the area 
wage index applicable to any hospital that is located in an urban area 
of a State may not be less than the area wage index applicable to 
hospitals located in rural areas in that State. This provision is 
referred to as the rural floor. Section 3141 of the Patient Protection 
and Affordable Care Act (Pub. L. 111-148) also requires that a national 
budget neutrality adjustment be applied in implementing the rural 
floor. Based on the FY 2027 wage index associated with this proposed 
rule (which is available on the CMS website), and based on the 
calculation of the rural floor including the wage data of hospitals 
that have reclassified as rural under Sec.  412.103, we estimate that 
535 hospitals would receive the rural floor in FY 2027. The budget 
neutrality impact of the proposed application of the rural floor is 
discussed in section II.A.4.e of Addendum A of this proposed rule.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 48784), CMS 
finalized a policy change to calculate the rural floor in the same 
manner as we did prior to the FY 2020 IPPS/LTCH PPS final rule, in 
which the rural wage index sets the rural floor. We stated that for FY 
2023 and subsequent years, we would include the wage data of Sec.  
412.103 hospitals that have no Medicare Geographic Classification 
Review Board (MGCRB) or Lugar reclassification in the calculation of 
the rural floor, and include the wage data of such hospitals in the 
calculation of ``the wage index for rural areas in the State in which 
the county is located'' as referred to in section 1886(d)(8)(C)(iii) of 
the Act.
    In the FY 2024 IPPS/LTCH final rule (88 FR 58971 through 58977), we 
finalized a policy change beginning that year to include the data of 
all Sec.  412.103 hospitals, even those that have an MGCRB 
reclassification, in the calculation process for the rural floor and 
the calculation of ``the wage index for rural areas in the State in 
which the county is located'' as referred to in section 
1886(d)(8)(C)(iii) of the Act. We explained that after revisiting the 
case law, prior public comments, and the relevant statutory language, 
we agreed that the best reading of section 1886(d)(8)(E)'s text that 
CMS ``shall treat the [Sec.  412.103] hospital as being located in the 
rural area'' is that it instructs CMS to treat Sec.  412.103 hospitals 
the same as geographically rural hospitals for the wage index 
calculation.
    Accordingly, in the FY 2024 IPPS/LTCH PPS final rule, we finalized 
a policy to include hospitals with Sec.  412.103 reclassification along 
with geographically rural hospitals in all rural wage index 
calculations, and to exclude ``dual reclass'' hospitals (hospitals with 
simultaneous Sec.  412.103

[[Page 19475]]

and MGCRB reclassifications) that are implicated by the hold harmless 
provision at section 1886(d)(8)(C)(ii) of the Act. For additional 
information on these changes, we refer readers to the FY 2024 IPPS/LTCH 
PPS final rule (88 FR 58971 through 58977).
2. Imputed Floor
    In the FY 2005 IPPS final rule (69 FR 49109 through 49111), we 
adopted the imputed floor policy as a temporary 3-year regulatory 
measure to address concerns from hospitals in all-urban States that had 
stated that they were disadvantaged by the absence of rural hospitals 
to set a wage index floor for those States. We extended the imputed 
floor policy eight times since its initial implementation, the last of 
which was adopted in the FY 2018 IPPS/LTCH PPS final rule and expired 
on September 30, 2018. We refer readers to further discussions of the 
imputed floor in the IPPS/LTCH PPS final rules from FYs 2014 through 
2019 (78 FR 50589 through 50590, 79 FR 49969 through 49971, 80 FR 49497 
through 49498, 81 FR 56921 through 56922, 82 FR 38138 through 38142, 
and 83 FR 41376 through 41380, respectively) and to the regulations at 
Sec.  412.64(h)(4). For FYs 2019, 2020, and 2021, hospitals in all-
urban states received a wage index that was calculated without applying 
an imputed floor, and we no longer included the imputed floor as a 
factor in the national budget neutrality adjustment.
    Section 9831 of the American Rescue Plan Act of 2021 (Pub. L. 117-
2), enacted on March 11, 2021, amended section 1886(d)(3)(E)(i) of the 
Act and added section 1886(d)(3)(E)(iv) of the Act to establish a 
minimum area wage index for hospitals in all-urban States for 
discharges occurring on or after October 1, 2021. Specifically, section 
1886(d)(3)(E)(iv)(I) and (II) of the Act provides that for discharges 
occurring on or after October 1, 2021, the area wage index applicable 
to any hospital in an all-urban State may not be less than the minimum 
area wage index for the fiscal year for hospitals in that State 
established using the methodology described in Sec.  412.64(h)(4)(vi) 
as in effect for FY 2018. Unlike the imputed floor that was in effect 
from FYs 2005 through 2018, section 1886(d)(3)(E)(iv)(III) of the Act 
provides that the imputed floor wage index shall not be applied in a 
budget neutral manner. Section 1886(d)(3)(E)(iv)(IV) of the Act 
provides that, for purposes of the imputed floor wage index under 
clause (iv), the term all-urban State means a State in which there are 
no rural areas (as defined in section 1886(d)(2)(D) of the Act) or a 
State in which there are no hospitals classified as rural under section 
1886 of the Act. Under this definition, given that it applies for 
purposes of the imputed floor wage index, we consider a hospital to be 
classified as rural under section 1886 of the Act if it is assigned the 
State's rural area wage index value.
    Effective beginning October 1, 2021 (FY 2022), section 
1886(d)(3)(E)(iv) of the Act reinstated the imputed floor wage index 
policy for all-urban States, with no expiration date, using the 
methodology described in Sec.  412.64(h)(4)(vi) as in effect for FY 
2018. We refer readers to the FY 2022 IPPS/LTCH PPS final rule (86 FR 
45176 through 45178) for further discussion of the original imputed 
floor calculation methodology implemented in FY 2005 and the 
alternative methodology implemented in FY 2013.
    Based on data available for this proposed rule, States that would 
be all-urban States as defined in section 1886(d)(3)(E)(iv)(IV) of the 
Act, and thus hospitals in such States that would be eligible to 
receive an increase in their wage index due to application of the 
imputed floor for FY 2027, are identified in Table 3 (which is 
available on the CMS website) associated with this proposed rule. 
States with a value in the column titled ``State Imputed Floor'' are 
eligible for the imputed floor.
    The regulations at Sec.  412.64(e)(1) and (4) and (h)(4) and (5) 
implement the imputed floor required by section 1886(d)(3)(E)(iv) of 
the Act for discharges occurring on or after October 1, 2021. The 
imputed floor would continue to be applied for FY 2027 in accordance 
with the policies adopted in the FY 2022 IPPS/LTCH PPS final rule. For 
more information regarding our implementation of the imputed floor 
required by section 1886(d)(3)(E)(iv) of the Act, we refer readers to 
the discussion in the FY 2022 IPPS/LTCH PPS final rule (86 FR 45176 
through 45178).
3. State Frontier Floor for FY 2027
    Section 10324 of Public Law 111-148 amended Section 1886(d)(3)(E) 
of the Act and added section 1886(d)(3)(E)(iii) of the Act to require 
that hospitals in frontier States cannot be assigned a wage index of 
less than 1.00. We refer readers to the regulations at Sec.  412.64(m) 
and to a discussion of the implementation of this provision in the FY 
2011 IPPS/LTCH PPS final rule (75 FR 50160 through 50161). We are not 
proposing any changes to the frontier floor policy for FY 2027. In this 
proposed rule, 40 hospitals would receive the frontier floor value of 
1.00 for their FY 2027 proposed wage index. These hospitals are located 
in Montana, North Dakota, South Dakota, and Wyoming. We note that while 
Nevada meets the criteria of a frontier State, all hospitals within the 
State currently receive a wage index value greater than 1.00.
    The areas affected by the rural and frontier floor policies for the 
proposed FY 2027 wage index are identified in Table 3 associated with 
this proposed rule, which is available via the internet on the CMS 
website.
4. Out-Migration Adjustment Based on Commuting Patterns of Hospital 
Employees
    In accordance with section 1886(d)(13) of the Act, as added by 
section 505 of Public Law 108-173, beginning with FY 2005, we 
established a process to make adjustments to the hospital wage index 
based on commuting patterns of hospital employees (the ``out-
migration'' adjustment). The process, outlined in the FY 2005 IPPS 
final rule (69 FR 49061), provides for an increase in the wage index 
for hospitals located in certain counties that have a relatively high 
percentage of hospital employees who reside in the county but work in a 
different county (or counties) with a higher wage index.
    Section 1886(d)(13)(B) of the Act requires the Secretary to use 
data the Secretary determines to be appropriate to establish the 
qualifying counties. When section 1886(d)(13) was implemented for the 
FY 2005 wage index, we analyzed commuting data compiled by the U.S. 
Census Bureau that were derived from a special tabulation of the 2000 
Census journey-to-work data for all industries (CMS extracted data 
applicable to hospitals). These data were compiled from responses to 
the ``long-form'' survey, which the Census Bureau used at that time, 
and which contained questions on where residents in each county worked 
(69 FR 49062). However, the 2010 Census was ``short form'' only; 
information on where residents in each county worked was not collected 
as part of the 2010 Census. The Census Bureau worked with CMS to 
provide an alternative data set based on the latest available data on 
where residents in each county worked in 2010, for use in developing a 
new out-migration adjustment based on new commuting patterns developed 
from the 2010 Census data beginning with FY 2016.
    To determine the out-migration adjustments and applicable counties 
for FY 2016, we analyzed commuting data compiled by the Census Bureau 
that

[[Page 19476]]

were derived from a custom tabulation of the American Community Survey 
(ACS), an official Census Bureau survey, utilizing 2008 through 2012 
(5-year) Microdata. The data were compiled from responses to the ACS 
questions regarding the county where workers reside and the county to 
which workers commute. As we discussed in prior IPPS/LTCH PPS final 
rules, we have applied the same policies, procedures, and computations 
since FY 2012. We refer readers to the FY 2016 IPPS/LTCH PPS final rule 
(80 FR 49500 through 49502) for a full explanation of the revised data 
source. We also stated that we will consider determining out-migration 
adjustments based on data from the next Census or other available data, 
as appropriate.
    As discussed previously in section III.A.2, in the FY 2025 IPPS/
LTCH PPS final rule (89 FR 69253 through 69266), CMS adopted revised 
Core-Based Statistical Area (CBSA) delineations from the OMB Bulletin 
23-01, published July 21, 2023. The revised delineations incorporated 
population estimates based on the 2020 decennial census, as well as 
updated journey-to-work commuting data. The Census Bureau once again 
worked with CMS to provide an alternative dataset based on the latest 
available data on where residents in each county worked, for use in 
developing a new out-migration adjustment based on new commuting 
patterns. We analyzed commuting data compiled by the Census Bureau that 
were derived from a custom tabulation of the ACS, utilizing 2016 
through 2020 data. The Census Bureau produces county level commuting 
flow tables every 5 years using non-overlapping 5-year ACS estimates. 
The data includes demographic characteristics, home and work locations, 
and journey-to-work travel flows. The custom tabulation requested by 
CMS was specific to general medical and surgical hospital and specialty 
(except psychiatric and substance use disorder treatment) hospital 
employees (hospital sector Census code 8191/NAICS code 6221 and 6223) 
who worked in the 50 States, Washington, DC, and Puerto Rico and, 
therefore, provided information about commuting patterns of workers at 
the county level for residents of the 50 States, Washington, DC, and 
Puerto Rico.
    For the ACS, the Census Bureau selects a random sample of addresses 
where workers reside to be included in the survey, and the sample is 
designed to ensure good geographic coverage. The ACS samples 
approximately 3.5 million resident addresses per year.\89\ The results 
of the ACS are used to formulate descriptive population estimates, and, 
as such, the sample on which the dataset is based represents the 
figures that would be obtained from a complete count.
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    \89\ According to the Census Bureau, the effects of the public 
health emergency (PHE) on ACS activities in 2020 resulted in a lower 
number of addresses (~2.9 million) in the sample, as well as fewer 
interviews than a typical year.
---------------------------------------------------------------------------

    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69301), we finalized 
that for FY 2025 and subsequent years, the out-migration adjustment 
will be based on the data derived from the previously discussed custom 
tabulation of the ACS utilizing 2016 through 2020 (5-year) Microdata. 
We believe that these data are the most appropriate to establish 
qualifying counties, because they are the most accurate and up-to-date 
data that are available to us. For FY 2027, we are not proposing any 
changes to the methodology or data source for calculating the out-
migration adjustment. Specifically, we are proposing that the FY 2027 
out-migration adjustments continue to be based on the same policies, 
procedures, and computation that were used for the FY 2012 out-
migration adjustment. We have applied these same policies, procedures, 
and computations since FY 2012, and we believe they continue to be 
appropriate for FY 2027. We refer readers to a full discussion of the 
out-migration adjustment, including rules on deeming hospitals 
reclassified under section 1886(d)(8) or section 1886(d)(10) of the Act 
to have waived the out-migration adjustment, in the FY 2012 IPPS/LTCH 
PPS final rule (76 FR 51601 through 51602). Table 2 of this proposed 
rule (which is available on the CMS website) lists the proposed out-
migration adjustments for the FY 2027 wage index. In addition, Table 4A 
associated with this proposed rule, ``List of Counties Eligible for the 
Out Migration Adjustment under Section 1886(d)(13) of the Act'' (also 
available on the CMS website), consists of the following: A list of 
counties that are eligible for the outmigration adjustment for FY 2027 
identified by FIPS county code, the proposed FY 2027 out-migration 
adjustment, and the number of years the adjustment would be in effect. 
We refer readers to section V.I of the Addendum of this proposed rule 
for instructions on accessing IPPS tables that are posted on the CMS 
websites identified in this proposed rule.
5. Cap on Wage Index Decreases and Budget Neutrality Adjustment
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49018 through 
49021), we finalized a wage index cap policy and associated budget 
neutrality adjustment for FY 2023 and subsequent fiscal years. Under 
this policy, we apply a 5-percent cap on any decrease to a hospital's 
wage index from its wage index in the prior FY, regardless of the 
circumstances causing the decline. A hospital's wage index will not be 
less than 95 percent of its final wage index for the prior FY. We note, 
as discussed below, that for FY 2027 we are proposing to continue the 
transitional payment exception that addresses the effects of the 
removal of the low wage index hospital policy. This proposed 
transitional payment exception would be applied after the application 
of the 5-percent cap.
    Except for newly opened hospitals, we apply the cap for a fiscal 
year using the final wage index applicable to the hospital on the last 
day of the prior fiscal year. A newly opened hospital will be paid the 
wage index for the area in which it is geographically located for its 
first full or partial fiscal year, and it will not receive a cap for 
that first year, because it will not have been assigned a wage index in 
the prior year. The wage index cap policy is reflected at Sec.  
412.64(h)(7). We apply the cap in a budget neutral manner through a 
national adjustment to the standardized amount each fiscal year. For 
more information about the wage index cap policy and associated budget 
neutrality adjustment, we refer readers to the discussion in the FY 
2023 IPPS/LTCH PPS final rule (87 FR 49018 through 49021).
    For FY 2027, we would apply the wage index cap and associated 
budget neutrality adjustment in accordance with the policies adopted in 
the FY 2023 IPPS/LTCH PPS final rule. We refer readers to the Addendum 
of this proposed rule for further information regarding the budget 
neutrality calculations.
6. Continued Transition for the Discontinuation of the Low Wage Index 
Hospital Policy
    In the FY 2025 interim final action with comment period (IFC) (89 
FR 80405 through 80421), we recalculated the FY 2025 IPPS hospital wage 
index to remove the low wage index hospital policy for FY 2025. We also 
removed the low wage index budget neutrality factor from the FY 2025 
standardized amounts. For FY 2026 and subsequent fiscal years, 
consistent with the FY 2025 IFC, after considering the D.C. Circuit's

[[Page 19477]]

decision in Bridgeport Hospital v. Becerra, we discontinued the low 
wage index hospital policy and the application of the low wage index 
budget neutrality factor to the standardized amounts (90 FR 36854).
    For FY 2025 and FY 2026, consistent with our past practice to 
establish temporary transition policies to mitigate short-term 
instability and payment fluctuations, we established transition 
policies for hospitals significantly impacted by the discontinuation of 
the low wage index hospital policy using our authority under section 
1886(d)(5)(I) of the Act. The transitional payment exception for FY 
2025 for those hospitals was equal to the additional FY 2025 amount a 
hospital would have been paid under the IPPS if its FY 2025 wage index 
were equal to 95 percent of its FY 2024 wage index. The transitional 
payment exception for FY 2026 was equal to the additional FY 2026 
amount the hospital would be paid under the IPPS if its FY 2026 wage 
index were equal to 90.25 percent of its FY 2024 wage index.\90\ For FY 
2025, we opted not to budget neutralize the interim transition policy 
given the timing of the Bridgeport Hospital v. Becerra decision. 
However, for FY 2026, we finalized a payment transition with a budget 
neutrality adjustment through notice-and-comment rulemaking for 
hospitals facing significant reductions over two years that would not 
be sufficiently mitigated by the wage index cap policy at 42 CFR 
412.64(h)(7). We refer readers to the FY 2025 IFC (89 FR 80405 through 
80421) and to the FY 2026 IPPS/LTCH PPS Final Rule (90 FR 36855 through 
36857) for a full discussion of these transitional payment policies.
---------------------------------------------------------------------------

    \90\ 90.25 percent = 95 percent for FY 2025 * 95 percent for FY 
2026. This can also be expressed as .95-2.
---------------------------------------------------------------------------

    Some hospitals that previously benefitted from the low wage index 
hospital policy would continue to experience decreases of approximately 
5 percent or more per year from their FY 2024 wage index (with the low 
wage index hospital policy applied). For example, these hospitals may 
experience a decrease of 15 percent or more over the three years from 
their FY 2024 wage index to their proposed FY 2027 wage index (that is, 
approximately 5 percent or more per year over that time period). 
Therefore, we are proposing to extend the transitional exception to the 
calculation payments for FY 2027 for these hospitals in the same manner 
as we did for the FY 2026 wage index.
    Similar to the FY 2026 transition, the transitional exception 
policy we are proposing for FY 2027 would continue to apply only to 
hospitals that benefited from the FY 2024 low wage index hospital 
policy. For FY 2027, for example, we would compare the hospital's 
proposed FY 2027 wage index to the hospital's FY 2024 wage index if the 
hospital benefited from the low wage index hospital policy in FY 2024. 
If the hospital is significantly impacted by the discontinuation of the 
low wage index hospital policy, meaning the hospital's proposed FY 2027 
wage index is decreasing by more than 14.2625 percent \91\ from the 
hospital's FY 2024 wage index, then the transitional payment exception 
for FY 2027 for that hospital would be equal to the additional FY 2027 
amount the hospital would be paid under the IPPS if its FY 2027 wage 
index were equal to 85.7375 percent \92\ of its FY 2024 wage index.\93\ 
We note this proposed transitional payment exception would be applied 
after the application of the 5-percent cap described at 42 CFR 
412.64(h)(7).
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    \91\ Under the wage index cap policy at 42 CFR 412.64(h)(7), a 
hospital's wage index for a FY cannot be lower than 0.95 * its wage 
index from the prior FY. Over a 3-year period if its wage index were 
decreasing by more than 5 percent each year, this will mean a 
hospital's wage index for a FY cannot be lower than (0.95*0.95*0.95) 
times its wage index from three years earlier. Similarly for our 
proposed FY 2027 transitional exception policy, we are proposing 
that a hospital is significantly impacted by the discontinuation of 
the low wage index hospital policy if its FY 2027 wage index is less 
than (0.95*0.95*0.95) of its FY 2024 wage index, which equates to a 
decrease of more than 14.2625 percent.
    \92\ 85.7375 percent = 95 percent for FY 2025 * 95 percent for 
FY 2026* 95 percent for FY 2027. This can also be expressed as 
.95-3.
    \93\ We note that we are not proposing to change the FY 2027 
wage index values under section 1886(d)(3)(E) for hospitals eligible 
for the proposed FY 2027 transitional exception policy on the basis 
of the exception; the proposed change will be applied as a separate 
step only for purposes of determining the hospitals' FY 2027 IPPS 
payments.
---------------------------------------------------------------------------

    For example: assume the FY 2024 wage index for a hospital that 
benefitted from the low wage index hospital policy is 0.7600, and the 
hospital's proposed FY 2027 wage index is 0.6500. (If applicable, this 
proposed FY 2027 wage index value would include the 5-percent cap based 
on a comparison of the hospital's FY 2027 wage index prior to 
application of the 5-percent cap, to the hospital's FY 2026 wage index. 
We note that the FY 2026 wage index that will be used in this 
comparison is generally the FY 2026 wage index listed in Table 2 from 
the FY 2026 Final Rule in the column labeled ``FY 2026 Wage Index With 
Cap''. We note that all hospitals, regardless of whether the cap was 
applied to their FY 2026 wage index, have a value in the column ``FY 
2026 Wage Index With Cap''. Hospitals that did not have a cap applied 
to their FY 2026 wage index will display a wage index in this column 
without the cap.) The hospital's proposed FY 2027 wage index is 
decreasing by more than 14.2625 percent from the hospital's FY 2024 
wage index [that is, 0.6500 < 0.6516 where 0.6516 = (0.857375 times 
0.7600)]. The proposed transitional payment exception for FY 2027 for 
this hospital is equal to the additional amount the hospital would be 
paid under the IPPS if its FY 2027 wage index were equal to 0.6516, 
which is 85.7375 percent of 0.7600, its FY 2024 wage index. We note 
that the hospital in this example would not qualify for the 
transitional payment exception in FY 2028 should the policy be extended 
if its 2028 wage index is more than 0.6190, which is 81.450625 percent 
(or 0.95-4) of its FY 2024 wage index of 0.7600.
    Similar to the FY 2026 transition, we are proposing to make this 
policy budget neutral for FY 2027 through an adjustment applied to the 
standardized amount for all hospitals because: (1) the wage index cap 
policy at 42 CFR 412.64(h)(7) would have mitigated these FY 2027 wage 
index decreases had the combined payment effect of the FY 2025 and FY 
2026 wage index and the transitional payment exception been reflected 
solely in the FY 2025 and FY 2026 wage index, and it would have done so 
in a budget neutral manner under our current regulations; and (2) the 
circumstances described in the FY 2025 IFC (89 FR 80405 through 80421) 
that caused us to decline to budget neutralize the interim FY 2025 
transition policy are not applicable to subsequent years. In addition, 
implementing the proposed transition policy for FY 2027 in a budget 
neutral manner would be consistent with past practice. For example, we 
budget neutralized the FY 2015 wage index transition budget neutrality 
policy discussed earlier (79 FR 49956 through 49962). As we have 
discussed in other instances (89 FR 19398), we believed, and continue 
to believe, that transition policies should not increase estimated 
aggregate Medicare payments beyond the payments that would be made had 
we never proposed these transition policies. Therefore, we are 
proposing to use our authority under section 1886(d)(5)(I)(i) of the 
Act twice. First, we are proposing to adopt a narrow transitional 
exception to the calculation of FY 2027 IPPS for low wage index 
hospitals significantly impacted by the discontinuation of the low wage 
index

[[Page 19478]]

hospital policy. Second, we are proposing to exercise our authority 
again to do so in a budget neutral manner.94 95 We refer the 
reader to section II.A.4.g of the Addendum of this proposed rule for 
complete details regarding the application of the transition for the 
discontinuation of the low wage index hospital policy budget neutrality 
factor.
---------------------------------------------------------------------------

    \94\ We note that even more so than was the case for the FY 2025 
and FY 2026 interim transition policy, the scope and magnitude of 
the FY 2027 transitional policy are much smaller than the low wage 
index hospital policy, and we expect this trend to continue as 
effects of discontinuing the low wage hospital policy diminish. As 
discussed in section VI of the preamble of this proposed rule, we 
estimate only 54 hospitals, out of the over 3,000 hospitals paid 
under the IPPS will receive FY 2027 transitional exception payments. 
Also, as discussed in section II. A 4 of the addendum to this 
proposed rule, as proposed, we applied a budget neutrality factor to 
the standardized amount.
    \95\ We note that because creating an exception to the 
calculation of the FY 2027 payments is in this circumstance 
functionally equivalent to adjusting the FY 2027 payments, the 
transitional exception can be alternatively considered a 
transitional adjustment.
---------------------------------------------------------------------------

    We are also proposing to make a budget neutral equivalent exception 
under the capital IPPS. Under the capital IPPS, the adjustment for 
local cost variation is based on the hospital wage index value that is 
applicable to the hospital under the operating IPPS. We adjust the 
capital standard Federal rate so that the effects of the annual changes 
in the geographic adjustment factor (GAF) are budget neutral. As 
discussed in the FY 2025 IFC (89 FR 80408), since FY 2023, the GAFs 
reflect the wage index cap policy that limits any decrease to a 
hospital's wage index from its wage index in the prior FY, regardless 
of the circumstances causing the decline, to 95 percent of its prior 
year value. As described previously, some hospitals that previously 
benefitted from the low wage index hospital policy will experience 
decreases of 15 percent or more over the three years from their FY 2024 
wage index (with the low wage index hospital policy applied) to their 
proposed FY 2027 wage index, at approximately 5 percent or more per 
year over that time period and for subsequent years. As such, similar 
to the FY 2025 and FY 2026 transition policies, we are proposing for FY 
2027 to make a budget neutral equivalent exception under the capital 
IPPS.

G. FY 2027 Wage Index Tables

    In this FY 2027 IPPS/LTCH PPS proposed rule, we have included the 
following wage index tables: Table 2 titled ``Case-Mix Index and Wage 
Index Table by CCN''; Table 3 titled ``Wage Index Table by CBSA''; 
Table 4A titled ``List of Counties Eligible for the Out-Migration 
Adjustment under Section 1886(d)(13) of the Act''; and Table 4B titled 
``Counties redesignated under section 1886(d)(8)(B) of the Act (Lugar 
Counties).'' We refer readers to section VI of the Addendum to this 
proposed rule for a discussion of the wage index tables for FY 2027.

H. Proposed Labor-Related Share for the FY 2027 Wage Index

    Section 1886(d)(3)(E) of the Act directs the Secretary to adjust 
the proportion of the national prospective payment system base payment 
rates that are attributable to wages and wage-related costs by a factor 
that reflects the relative differences in labor costs among geographic 
areas. It also directs the Secretary to estimate from time to time the 
proportion of hospital costs that are labor-related and to adjust the 
proportion (as estimated by the Secretary from time to time) of 
hospitals' costs that are attributable to wages and wage-related costs 
of the diagnosis related group (DRG) prospective payment rates. We 
refer to the portion of hospital costs attributable to wages and wage-
related costs as the labor-related share. The labor-related share of 
the prospective payment rate is adjusted by an index of relative labor 
costs, which is referred to as the wage index.
    Section 403 of Public Law 108-173 amended section 1886(d)(3)(E) of 
the Act to provide that the Secretary must employ 62 percent as the 
labor-related share unless this would result in lower payments to a 
hospital than would otherwise be made. However, this provision of 
Public Law 108-173 did not change the legal requirement that the 
Secretary estimate from time to time the proportion of hospitals' costs 
that are attributable to wages and wage-related costs. Thus, hospitals 
receive payment based on either a 62-percent labor-related share, or 
the labor-related share estimated from time to time by the Secretary, 
depending on which labor-related share results in a higher payment.
    In the FY 2026 IPPS/LTCH PPS final rule (90 FR 36869 through 
36873), we rebased and revised the hospital market basket to a 2023-
based IPPS hospital market basket, which replaced the 2018-based IPPS 
hospital market basket, effective beginning October 1, 2025. Using the 
2023-based IPPS market basket, we finalized a labor-related share of 
66.0 percent for discharges occurring on or after October 1, 2025. In 
addition, in FY 2026, we implemented this rebased labor-related share 
in a budget neutral manner (90 FR 36857 through 36858, 90 FR 37216 
through 37217). However, consistent with section 1886(d)(3)(E) of the 
Act, we did not take into account the additional payments that would be 
made as a result of hospitals with a wage index less than or equal to 
1.0000 being paid using a labor-related share lower than the labor-
related share of hospitals with a wage index greater than 1.0000.
    The labor-related share is used to determine the proportion of the 
national IPPS base payment rate to which the area wage index is 
applied. We include a cost category in the labor-related share if the 
costs are labor intensive and vary with the local labor market. In the 
FY 2026 IPPS/LTCH PPS final rule, we included in the labor-related 
share the national average proportion of operating costs that are 
attributable to the following cost categories in the 2023-based IPPS 
market basket: Wages and Salaries; Employee Benefits; Professional 
Fees: Labor-Related; Administrative and Facilities Support Services; 
Installation, Maintenance, and Repair Services; and All Other: Labor-
Related Services as measured in the 2023-based IPPS market basket. For 
FY 2027, we are proposing to continue to use a labor-related share of 
66.0 percent for discharges occurring on or after October 1, 2026.
    As discussed in section VI.B of the preamble of this proposed rule, 
prior to January 1, 2016, Puerto Rico hospitals were paid based on 75 
percent of the national standardized amount and 25 percent of the 
Puerto Rico-specific standardized amount. As a result, we applied the 
Puerto Rico-specific labor-related share percentage and nonlabor-
related share percentage to the Puerto Rico-specific standardized 
amount. Section 601 of the Consolidated Appropriations Act, 2016 (Pub. 
L. 114-113) amended section 1886(d)(9)(E) of the Act to specify that 
the payment calculation with respect to operating costs of inpatient 
hospital services of a subsection (d) Puerto Rico hospital for 
inpatient hospital discharges on or after January 1, 2016, shall use 
100 percent of the national standardized amount. Because Puerto Rico 
hospitals are no longer paid with a Puerto Rico-specific standardized 
amount as of January 1, 2016, under section 1886(d)(9)(E) of the Act as 
amended by section 601 of the Consolidated Appropriations Act, 2016, 
there is no longer a need for us to calculate a Puerto Rico-specific 
labor-related share percentage and nonlabor-related share percentage 
for application to the Puerto Rico-specific standardized amount. 
Hospitals in Puerto Rico are now paid 100 percent of the national 
standardized amount and, therefore, are

[[Page 19479]]

subject to the national labor-related share and nonlabor-related share 
percentages that are applied to the national standardized amount. 
Accordingly, for FY 2027, we are not proposing a Puerto Rico-specific 
labor-related share percentage or a nonlabor-related share percentage.
    Tables 1A and 1B, which are published in section VI of the Addendum 
to this FY 2027 IPPS/LTCH PPS proposed rule and available via the 
internet on the CMS website, reflect the proposed national labor-
related share. Table 1C, in section VI of the Addendum to this FY 2027 
IPPS/LTCH PPS proposed rule and available via the internet on the CMS 
website, reflects the national labor-related share for hospitals 
located in Puerto Rico. For FY 2027, for all IPPS hospitals (including 
Puerto Rico hospitals) whose wage indexes are less than or equal to 
1.0000, we are proposing to apply the wage index to a labor-related 
share of 62 percent of the national standardized amount. For all IPPS 
hospitals (including Puerto Rico hospitals) whose wage indexes are 
greater than 1.000, for FY 2027, we are proposing to apply the wage 
index to a labor-related share of 66.0 percent of the national 
standardized amount.

IV. Proposed Payment Adjustment for Medicare Disproportionate Share 
Hospitals (DSHs) for FY 2027 (Sec.  412.106)

A. General Discussion

    Section 1886(d)(5)(F) of the Act provides for additional Medicare 
payments to subsection (d) hospitals \96\ that serve a significantly 
disproportionate number of low-income patients. The Act specifies two 
methods by which a hospital may qualify for the Medicare 
disproportionate share hospital (DSH) adjustment. Under the first 
method, hospitals that are located in an urban area and have 100 or 
more beds may receive a Medicare DSH payment adjustment if the hospital 
can demonstrate that, during its cost reporting period, more than 30 
percent of its net inpatient care revenues are derived from State and 
local government payments for care furnished to patients with low 
incomes. This method is commonly referred to as the ``Pickle method.'' 
The second method for qualifying for the DSH payment adjustment, which 
is the more commonly used method, is based on the hospital's 
disproportionate patient percentage (DPP), described below, under which 
the DSH payment adjustment is based on a complex statutory formula that 
includes the hospital's geographic designation, the number of beds in 
the hospital, and the level of the hospital's DPP.
---------------------------------------------------------------------------

    \96\ See section 1886(d)(1)(B) of the Act for the definition of 
a ``subsection (d) hospital''.
---------------------------------------------------------------------------

    A hospital's DPP is the sum of two fractions: the ``Medicare 
fraction'' and the ``Medicaid fraction.'' The Medicare fraction (also 
known as the ``SSI fraction'' or ``SSI ratio'') is computed by dividing 
the number of the hospital's inpatient days that are furnished to 
patients who were entitled to both Medicare Part A and Supplemental 
Security Income (SSI) benefits by the hospital's total number of 
patient days furnished to patients entitled to benefits under Medicare 
Part A. The Medicaid fraction is computed by dividing the hospital's 
number of inpatient days furnished to patients who, for such days, were 
eligible for Medicaid, but were not entitled to benefits under Medicare 
Part A, by the hospital's total number of inpatient days in the same 
period.
[GRAPHIC] [TIFF OMITTED] TP14AP26.116

    Because the DSH payment adjustment is part of the IPPS, the 
statutory references to ``days'' in section 1886(d)(5)(F) of the Act 
have been interpreted to apply only to hospital acute care inpatient 
days. Regulations located at 42 CFR 412.106 govern the Medicare DSH 
payment adjustment and specify how the DPP is calculated as well as how 
beds and patient days are counted in determining the Medicare DSH 
payment adjustment. Under Sec.  412.106(a)(1)(i), the number of beds 
for the Medicare DSH payment adjustment is determined in accordance 
with bed counting rules for the IME adjustment under Sec.  412.105(b).
    Section 3133 of the Patient Protection and Affordable Care Act 
(Pub. L. 111-148), as amended by section 10316 of the same Act and 
section 1104 of the Health Care and Education Reconciliation Act (Pub. 
L. 111-152), added a section 1886(r) to the Act that modifies the 
methodology for computing the Medicare DSH payment adjustment. We refer 
to these provisions collectively as section 3133 of the Affordable Care 
Act. Beginning with discharges in FY 2014, hospitals that qualify for 
Medicare DSH payments under section 1886(d)(5)(F) of the Act receive 25 
percent of the amount they previously would have received under the 
statutory formula for Medicare DSH payments. This provision applies 
equally to hospitals that qualify for DSH payments on the basis of the 
hospital's DPP under section 1886(d)(5)(F)(i)(I) of the Act and those 
hospitals that qualify under the Pickle method under section 
1886(d)(5)(F)(i)(II) of the Act.
    The remaining amount, equal to an estimate of 75 percent of what 
otherwise would have been paid as Medicare DSH payments, reduced to 
reflect changes in the percentage of individuals who are uninsured, is 
available to make additional payments to each hospital that qualifies 
for Medicare DSH payments and that has uncompensated care. The payments 
to each hospital for a fiscal year are based on the hospital's amount 
of uncompensated care for a given time period relative to the total 
amount of uncompensated care for that same time period reported by all 
hospitals that receive Medicare DSH payments for that fiscal year.
    Since FY 2014, section 1886(r) of the Act has required that 
hospitals that are eligible under section 1886(d)(5)(F) of the Act 
receive two separately calculated payments:

[[Page 19480]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.117

    Specifically, section 1886(r)(1) of the Act provides that the 
Secretary shall pay to such subsection (d) hospital 25 percent of the 
amount the hospital would have received under section 1886(d)(5)(F) of 
the Act for DSH payments, which represents the empirically justified 
amount for such payment, as determined by the MedPAC in its March 2007 
Report to Congress.\97\ We refer to this payment as the ``empirically 
justified Medicare DSH payment.''
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    \97\ https://www.medpac.gov/document/march-2007-report-to-the-congress-medicare-payment-policy/.
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    In addition to this empirically justified Medicare DSH payment, 
section 1886(r)(2) of the Act provides that, for FY 2014 and each 
subsequent fiscal year, the Secretary shall pay to such subsection (d) 
hospitals an additional amount equal to the product of three factors. 
The first factor is the difference between the aggregate amount of 
payments that would be made to subsection (d) hospitals under section 
1886(d)(5)(F) of the Act if subsection (r) did not apply and the 
aggregate amount of payments that are made to subsection (d) hospitals 
under section 1886(r)(1) of the Act for such fiscal year. In other 
words, the first factor of the uncompensated care payment calculation 
is 75 percent of the payments that would otherwise be made as Medicare 
DSH payments under section 1886(d)(5)(F) of the Act.
    Section 1886(r)(2)(B) of the Act provides that the second factor 
is, for FY 2018 and subsequent fiscal years, 1 minus the percent change 
in the percent of individuals who are uninsured, as determined by 
comparing the percent of individuals who were uninsured in 2013 (as 
estimated by the Secretary, based on data from the Census Bureau or 
other sources the Secretary determines appropriate, and certified by 
the Chief Actuary of CMS) and the percent of individuals who were 
uninsured in the most recent period for which data are available (as so 
estimated and certified). As discussed in a later section, we note that 
the second factor is computed based on estimates of the total U.S. 
population.
    Section 1886(r)(2)(C) of the Act provides that the third factor is 
a percent that, for each subsection (d) hospital, represents the 
quotient of the amount of uncompensated care for such hospital for a 
period selected by the Secretary (as estimated by the Secretary, based 
on appropriate data), including the use of alternative data where the 
Secretary determines that alternative data are available which are a 
better proxy for the costs of subsection (d) hospitals for treating the 
uninsured, and the aggregate amount of uncompensated care for all 
subsection (d) hospitals that receive a payment under section 1886(r) 
of the Act. Therefore, this third factor represents a hospital's 
uncompensated care amount for a given time period relative to the 
uncompensated care amount for that same time period for all hospitals 
that receive Medicare DSH payments in the applicable fiscal year, 
expressed as a percent.
    For each hospital, the product of these three factors represents 
its additional payment for uncompensated care for the applicable fiscal 
year. We refer to the additional payment amount determined by these 
factors as the ``uncompensated care payment.'' In brief, the 
uncompensated care payment for an individual hospital is the product of 
the following 3 factors:
[GRAPHIC] [TIFF OMITTED] TP14AP26.118

    Section 1886(r) of the Act applies to FY 2014 and each subsequent 
fiscal year. In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50620 
through 50647) and the FY 2014 IPPS interim final rule with comment 
period (78 FR 61191 through 61197), we set forth our policies for 
implementing the required changes to the Medicare DSH payment 
methodology made by section 3133 of the Affordable Care Act for FY 
2014. In those rules, we noted that, because section 1886(r) of the Act 
modifies the payment required under section 1886(d)(5)(F) of the Act, 
it affects only the DSH payment under the operating IPPS. It does not 
revise or replace the capital IPPS DSH payment provided under the 
regulations at 42 CFR part 412, subpart M, which was established 
through the exercise of the Secretary's discretion in implementing the 
capital IPPS under section 1886(g)(1)(A) of the Act.
    Finally, section 1886(r)(3) of the Act provides that there shall be 
no administrative or judicial review under section 1869, section 1878, 
or otherwise of any estimate of the Secretary for purposes of 
determining the factors described in section 1886(r)(2) of the Act or 
of any period selected by the Secretary for the purpose of determining 
those factors. Therefore, there is no administrative or judicial review 
of the estimates developed for purposes of applying the three factors 
used to determine uncompensated care payments, or of the periods 
selected to develop such estimates.

B. Eligibility for Empirically Justified Medicare DSH Payments and 
Uncompensated Care Payments

    The payment methodology under section 3133 of the Affordable Care 
Act applies to ``subsection (d) hospitals'' that would otherwise 
receive a DSH payment made under section 1886(d)(5)(F) of the Act. 
Therefore, hospitals must receive empirically justified Medicare DSH 
payments in a fiscal year to receive a Medicare uncompensated care 
payment for that year. Specifically, section 1886(r)(2) of the Act 
states that, in addition to the empirically justified Medicare DSH 
payment made to a subsection (d) hospital under section 1886(r)(1) of 
the Act, the Secretary shall pay to ``such subsection (d) hospitals'' 
the

[[Page 19481]]

uncompensated care payment. Section 1886(r)(2)'s reference to ``such 
subsection (d) hospitals'' refers to hospitals that receive empirically 
justified Medicare DSH payments under section 1886(r)(1) for the 
applicable fiscal year.
    In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50622) and the FY 
2014 IPPS interim final rule with comment period (78 FR 61193), we 
explained that hospitals that are not eligible to receive empirically 
justified Medicare DSH payments in a fiscal year will not receive 
uncompensated care payments for that year. We also specified that we 
would make a determination concerning eligibility for interim 
uncompensated care payments based on each hospital's estimated DSH 
status (that is, eligibility to receive empirically justified Medicare 
DSH payments) for the applicable fiscal year (using the most recent 
data that is available). For this proposed rule, we estimated DSH 
status for all hospitals using the most recent available SSI ratios and 
information from the most recent available Provider Specific File. We 
note that FY 2023 SSI ratios available on the CMS website were the most 
recent available SSI ratios at the time of developing this proposed 
rule.\98\ If more recent data on DSH eligibility becomes available 
before the final rule, we would use such data in the final rule. Our 
final determinations of a hospital's eligibility for empirically 
justified Medicare DSH and uncompensated care payments will be based on 
the hospital's actual DSH status at cost report settlement for FY 2027.
---------------------------------------------------------------------------

    \98\ https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/dsh.
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    In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50622) and in the 
rulemakings for subsequent fiscal years, we have specified our policies 
for several specific classes of hospitals within the scope of section 
1886(r) of the Act. Eligible hospitals include the following:
     Subsection (d) Puerto Rico hospitals are eligible to 
receive empirically justified Medicare DSH payments and uncompensated 
care payments under section 1886(r) of the Act (78 FR 50623 and 79 FR 
50006).
     Sole community hospitals (SCHs) that are paid under the 
IPPS Federal rate receive interim payments based on what we estimate 
and project their DSH status to be prior to the beginning of the fiscal 
year (based on the best available data at that time) subject to 
settlement through the cost report. If they receive interim empirically 
justified Medicare DSH payments in a fiscal year, they will also be 
eligible to receive interim uncompensated care payments for that fiscal 
year on a per discharge basis. Final eligibility determinations will be 
made at the end of the cost reporting period at settlement, and both 
interim empirically justified Medicare DSH payments and uncompensated 
care payments will be adjusted accordingly (78 FR 50624 and 79 FR 
50007).
     Medicare-dependent, small rural hospitals (MDHs) are paid 
based on the IPPS Federal rate or, if higher, the IPPS Federal rate 
plus 75 percent of the amount by which the Federal rate is exceeded by 
the updated hospital-specific rate from certain specified base years 
(FY 2012 IPPS/LTCH PPS final rule, 76 FR 51684). The IPPS Federal rate 
that is used in the MDH payment methodology is the same IPPS Federal 
rate that is used in the SCH payment methodology. Because MDHs are paid 
based on the IPPS Federal rate, they continue to be eligible to receive 
empirically justified Medicare DSH payments and uncompensated care 
payments if their DPP is at least 15 percent, and we apply the same 
process to determine MDHs' eligibility for interim empirically 
justified Medicare DSH and interim uncompensated care payments as we do 
for all other IPPS hospitals. Recently enacted legislation has extended 
the MDH program through December 31, 2026. We refer readers to section 
V.E. of the preamble of this proposed rule for further discussion of 
the MDH program. We will continue to make a determination concerning an 
MDH's eligibility for interim empirically justified Medicare DSH and 
uncompensated care payments based on the hospital's estimated DSH 
status for the applicable fiscal year.
     Transforming Episode Accountability Model (TEAM) is a new 
episode-based payment model (89 FR 68986). Hospitals participating in 
TEAM continue to be paid under the IPPS and, therefore, are eligible to 
receive empirically justified Medicare DSH payments and uncompensated 
care payments. The model started January 1, 2026.
     IPPS hospitals that participate in the proposed 
Comprehensive Care for Joint Replacement Expansion (CJR-X) Model would 
continue to be paid under the IPPS and, therefore, are eligible to 
receive empirically justified Medicare DSH payments and uncompensated 
care payments. We refer the reader to section X.C. of the FY2027 IPPS/
LTCH proposed rule for further discussion on the CJR-X Model. CMS 
proposes beginning this model on October 1, 2027.
    Ineligible hospitals include the following:
     Maryland hospitals are not eligible to receive empirically 
justified Medicare DSH payments and uncompensated care payments under 
the payment methodology of section 1866(r) of the Act because they are 
not paid under the IPPS. CMS and the State have entered into an 
agreement to govern payments to Maryland hospitals under a new payment 
model, the Achieving Healthcare Efficiency through Accountable Design 
(AHEAD) Model, beginning January 1, 2026. Maryland hospitals are not 
paid under the IPPS and are ineligible to receive empirically justified 
Medicare DSH payments and uncompensated care payments under section 
1886(r) of the Act. Further information is available on the CMS website 
at https://www.cms.gov/priorities/innovation/innovation-models/ahead.
     SCHs that are paid under their hospital-specific rate are 
not eligible for Medicare DSH and uncompensated care payments (78 FR 
50623 and 50624).
     Hospitals participating in the Rural Community Hospital 
Demonstration Program are not eligible to receive empirically justified 
Medicare DSH payments and uncompensated care payments under section 
1886(r) of the Act because they are not paid under the IPPS (78 FR 
50625 and 79 FR 50008). The Rural Community Hospital Demonstration 
Program was originally authorized for a 5-year period by section 410A 
of the Medicare Prescription Drug, Improvement, and Modernization Act 
of 2003 (MMA) (Pub. L. 108-173).\99\ The period of participation for 
the last hospital in the demonstration under the most recent 
legislative authorization (Pub. L. 116-260) will end on June 30, 2028. 
Under the payment methodology that applies during this most recent 
extension of the demonstration program, participating hospitals do not 
receive

[[Page 19482]]

empirically justified Medicare DSH payments, and they are excluded from 
receiving interim and final uncompensated care payments. At the time of 
development of this proposed rule, we believe 22 hospitals may 
participate in the demonstration program at the start of FY 2027. We 
note that if at the time of developing the final rule there is a 
different number of hospitals projected to participate in the 
demonstration program during FY 2027, we would use updated information 
in the FY 2027 final rule.
---------------------------------------------------------------------------

    \99\ The Rural Community Hospital Demonstration Program was 
extended for a subsequent 5-year period by sections 3123 and 10313 
of the Affordable Care Act (Pub. L. 111-148). The period of 
performance for this 5-year extension period ended on December 31, 
2016. Section 15003 of the 21st Century Cures Act (Pub. L. 114-255), 
enacted on December 13, 2016, again amended section 410A of Public 
Law 108-173 to require a 10-year extension period (in place of the 
5-year extension required by the Affordable Care Act), therefore 
requiring an additional 5-year participation period for the 
demonstration program. Section 15003 of Public Law 114-255 also 
required a solicitation for applications for additional hospitals to 
participate in the demonstration program. The period of performance 
for this 5-year extension period ended December 31, 2021. The 
Consolidated Appropriations Act, 2021 (Pub. L. 116-260) amended 
section 410A of Public Law 108-173 to extend the demonstration 
program for an additional 5-year period.
---------------------------------------------------------------------------

C. Empirically Justified Medicare DSH Payments

    As we have discussed earlier, section 1886(r)(1) of the Act 
requires the Secretary to pay 25 percent of the amount of the Medicare 
DSH payment that would otherwise be made under section 1886(d)(5)(F) of 
the Act to a subsection (d) hospital. Because section 1886(r)(1) of the 
Act merely requires the Secretary to pay a designated percentage of 
these payments, without revising the criteria governing eligibility for 
DSH payments or the underlying payment methodology, we stated in the FY 
2014 IPPS/LTCH PPS final rule that we did not believe that it was 
necessary to develop any new operational mechanisms for making such 
payments.
    Therefore, in the FY 2014 IPPS/LTCH PPS final rule (78 FR 50626), 
we implemented this provision by advising Medicare Administrative 
Contractors (MACs) to simply adjust subsection (d) hospitals' interim 
claim payments to an amount equal to 25 percent of what would have been 
paid if section 1886(r) of the Act did not apply. We also made 
corresponding changes to the hospital cost report so that these 
empirically justified Medicare DSH payments could be settled at the 
appropriate level at the time of cost report settlement. We provided 
more detailed operational instructions and cost report instructions 
following issuance of the FY 2014 IPPS/LTCH PPS final rule that are 
available on the CMS website at https://www.cms.gov/Regulations-and-Guidance/Guidance/Transmittals/2014-Transmittals-Items/R5P240.html.

D. Supplemental Payment for Indian Health Service (IHS) and Tribal 
Hospitals and Puerto Rico Hospitals

    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49047 through 
49051), we established a new supplemental payment for IHS/Tribal 
hospitals and hospitals located in Puerto Rico for FY 2023 and 
subsequent fiscal years. This payment was established to help to 
mitigate the impact of the decision to discontinue the use of low-
income insured days as a proxy for uncompensated care costs for these 
hospitals and to prevent undue long-term financial disruption for these 
providers. The regulations located at 42 CFR 412.106(h) govern the 
supplemental payment. In brief, the supplemental payment for a fiscal 
year is determined as the difference between the hospital's base year 
amount and its uncompensated care payment for the applicable fiscal 
year as determined under Sec.  412.106(g)(1). The base year amount is 
the hospital's FY 2022 uncompensated care payment adjusted by one plus 
the percent change in the total uncompensated care amount between the 
applicable fiscal year (that is, FY 2027 for purposes of this 
rulemaking) and FY 2022, where the total uncompensated care amount for 
a fiscal year is determined as the product of Factor 1 and Factor 2 for 
that year. If the base year amount is equal to or lower than the 
hospital's uncompensated care payment for the current fiscal year, then 
the hospital would not receive a supplemental payment because the 
hospital would not be experiencing financial disruption in that year as 
a result of the use of uncompensated care data from the Worksheet S-10 
in determining Factor 3 of the uncompensated care payment methodology.
    For FY 2027, we are not proposing any changes to the methodology 
for determining the supplemental payments and we will calculate the 
supplemental payments to eligible IHS/Tribal and Puerto Rico hospitals 
consistent with the methodology described in the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 49047 through 49051) and Sec.  412.106(h).
    As discussed in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49048 
and 49049), the eligibility and payment processes for the supplemental 
payment are consistent with the processes for determining eligibility 
to receive interim and final uncompensated care payments adopted in FY 
2014 IPPS/LTCH PPS final rule. We note that the MAC will make a final 
determination with respect to a hospital's eligibility to receive the 
supplemental payment for a fiscal year, in conjunction with its final 
determination of the hospital's eligibility for DSH payments and 
uncompensated care payments for that fiscal year.

E. Uncompensated Care Payments

    As we discussed earlier, section 1886(r)(2) of the Act provides 
that, for each eligible hospital in FY 2014 and subsequent years, the 
uncompensated care payment is the product of three factors, which are 
discussed in the next sections.
1. Proposed Calculation of Factor 1 for FY 2027
    Section 1886(r)(2)(A) of the Act establishes Factor 1 in the 
calculation of the uncompensated care payment. The regulations located 
at 42 CFR 412.106(g)(1)(i) govern the Factor 1 calculation. Under a 
prospective payment system, we would not know the precise aggregate 
Medicare DSH payment amounts that would be paid for a fiscal year until 
cost report settlement for all IPPS hospitals is completed, which 
occurs several years after the end of the fiscal year. Therefore, 
section 1886(r)(2)(A)(i) of the Act provides authority to estimate this 
amount by specifying that, for each fiscal year to which the provision 
applies, such amount is to be estimated by the Secretary. Similarly, we 
would not know the precise aggregate empirically justified Medicare DSH 
payment amounts that would be paid for a fiscal year until cost report 
settlement for all IPPS hospitals is completed. Thus, section 
1886(r)(2)(A)(ii) of the Act provides authority to estimate this 
amount. In brief, Factor 1 is the difference between the Secretary's 
estimates of: (1) the amount that would have been paid in Medicare DSH 
payments for the fiscal year, in the absence of section 1886(r) of the 
Act; and (2) the amount of empirically justified Medicare DSH payments 
that are made for the fiscal year, which takes into account the 
requirement to pay 25 percent of what would have otherwise been paid 
under section 1886(d)(5)(F) of the Act.
    In this FY 2027 IPPS/LTCH PPS proposed rule, consistent with the 
policy that has applied since the FY 2014 final rule (78 FR 50627 
through 50631), we are determining Factor 1 from the most recently 
available estimates of the aggregate amount of Medicare DSH payments 
that would be made for FY 2027 in the absence of section 1886(r)(1) of 
the Act and the aggregate amount of empirically justified Medicare DSH 
payments that would be made for FY 2027, both as calculated by CMS' 
Office of the Actuary (OACT). Consistent with the policy that has 
applied in previous years, these estimates will not be revised or 
updated subsequent to publication of our final projections in the FY 
2027 IPPS/LTCH PPS final rule.
    For this proposed rule, to calculate both estimates, we used the 
most recently available projections of Medicare DSH payments for the 
fiscal year, as calculated by OACT using the

[[Page 19483]]

most recently filed Medicare hospital cost reports with Medicare DSH 
payment information and the most recent DPPs and Medicare DSH payment 
adjustments provided in the IPPS Impact File. The projection of 
Medicare DSH payments for the fiscal year is also partially based on 
OACT's Part A benefits projection model, which projects, among other 
things, inpatient hospital spending. Projections of DSH payments 
additionally require projections of expected increases in utilization 
and case-mix. The assumptions that were used in making these inpatient 
hospital spending, utilization, and case-mix projections and the 
resulting estimates of DSH payments for FY 2024 through FY 2027 are 
discussed later in this section and in the table titled ``Factors 
Applied for FY 2024 through FY 2027 to Estimate Medicare DSH 
Expenditures Using FY 2023 Baseline.''
    For purposes of calculating Factor 1 and modeling the impact of 
this FY 2027 IPPS/LTCH PPS proposed rule, we used OACT's January 2026 
Medicare DSH estimates, which were based on data from the December 2025 
update of the Medicare Hospital Cost Report Information System (HCRIS) 
and the FY 2026 IPPS/LTCH PPS final rule IPPS Impact File, published in 
conjunction with the publication of the FY 2026 IPPS/LTCH PPS final 
rule. Because SCHs that are projected to be paid under their hospital-
specific rate are ineligible for empirically justified Medicare DSH 
payments and uncompensated care payments, they were excluded from the 
January 2026 Medicare DSH estimates. Because Maryland hospitals are not 
paid under the IPPS, they are also ineligible for empirically justified 
Medicare DSH payments and uncompensated care payments and were also 
excluded from OACT's January 2026 Medicare DSH estimates.
    The 22 hospitals that CMS expects will participate in the Rural 
Community Hospital Demonstration Program in FY 2027 were also excluded 
from OACT's January 2026 Medicare DSH estimates because under the 
payment methodology that applies during the demonstration, these 
hospitals are not eligible to receive empirically justified Medicare 
DSH payments or uncompensated care payments.
    For this proposed rule, using the data sources previously 
discussed, OACT's January 2026 estimates of Medicare DSH payments for 
FY 2027 without regard to the application of section 1886(r)(1) of the 
Act, is approximately $15.303 billion. Therefore, also based on OACT's 
January 2026 Medicare DSH estimates, the estimate of empirically 
justified Medicare DSH payments for FY 2027, with the application of 
section 1886(r)(1) of the Act, is approximately $3.826 billion (or 25 
percent of the total amount of estimated Medicare DSH payments for FY 
2027). Under Sec.  412.106(g)(1)(i), Factor 1 is the difference between 
these two OACT estimates. Therefore, in this FY 2027 IPPS/LTCH PPS 
proposed rule, we are determining that Factor 1 for FY 2027 would be 
$11.477 billion, which is equal to 75 percent of the total amount of 
estimated Medicare DSH payments for FY 2027 ($15.303 billion minus 
$3.826 billion). We note that consistent with our approach in previous 
rulemakings, OACT intends to use more recent data that may become 
available for purposes of projecting the final Factor 1 estimates for 
the FY 2027 IPPS/LTCH PPS final rule.
    We note that the Factor 1 estimates for IPPS/LTCH PPS proposed 
rules are generally consistent with the economic assumptions and 
actuarial analysis used to develop the President's Budget estimates 
under current law, and Factor 1 estimates for IPPS/LTCH PPS final rules 
are generally consistent with those used for the Midsession Review of 
the President's Budget. Consistent with historical practice, we expect 
the Midsession Review will have updated economic assumptions and 
actuarial analysis, which will be used for the development of Factor 1 
estimates in the FY 2027 IPPS/LTCH PPS final rule.
    For a general overview of the principal steps involved in 
projecting future inpatient costs and utilization, we refer readers to 
the ``2025 Annual Report of the Boards of Trustees of the Federal 
Hospital Insurance and Federal Supplementary Medical Insurance Trust 
Funds,'' available on the CMS website at https://www.cms.gov/oact/tr/2025. The actuarial projections contained in these reports are based on 
numerous assumptions regarding future trends in program enrollment, 
utilization and costs of health care services covered by Medicare, as 
well as other factors affecting program expenditures. In addition, 
although the methods used to estimate future costs based on these 
assumptions are complex, they are subject to periodic review by 
independent experts to ensure their validity and reasonableness.
    In this proposed rule, we include information regarding the data 
sources, methods, and assumptions employed by OACT's actuaries in 
determining our estimate of Factor 1. In summary, we indicate the 
historical HCRIS data update OACT used to estimate Medicare DSH 
payments. We also explain that the most recent Medicare DSH payment 
adjustments provided in the IPPS Impact File were used, and we provide 
the components of all the update factors that were applied to the 
historical data to estimate the Medicare DSH payments for the upcoming 
fiscal year, along with the associated rationale and assumptions. The 
discussion also includes descriptions of the ``Other'' and 
``Discharges'' assumptions.
    OACT's estimates for FY 2027 for this proposed rule began with a 
baseline of $12.901 billion in Medicare DSH expenditures for FY 2023. 
The following table shows the factors applied to update this baseline 
through the current estimate for FY 2027:
[GRAPHIC] [TIFF OMITTED] TP14AP26.119


[[Page 19484]]


    In this table, the discharges column shows the changes in the 
number of Medicare FFS inpatient hospital discharges. The discharge 
figures for FY 2024 and FY 2025 are based on Medicare claims data that 
have been adjusted by a completion factor to account for incomplete 
claims data. The discharge figures for FY 2026 and FY 2027 are 
assumptions based on recent historical experience and assumptions 
related to how many beneficiaries will be enrolled in MA plans.
    The case-mix column shows the estimated change in case-mix for IPPS 
hospitals. The case-mix figures for FY 2024 and FY 2025 are based on 
actual claims data adjusted by a completion factor to account for 
incomplete claims data. The case-mix figure for FY 2026 is the expected 
transition to the case-mix for FY 2027. The FY 2027 case-mix is based 
on assumptions from the 2012 ``Review of Assumptions and Methods of the 
Medicare Trustees' Financial Projections'' report by the 2010-2011 
Medicare Technical Review Panel.\100\
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    \100\ https://www.cms.gov/research-statistics-data-and-systems/statistics-trends-and-reports/reportstrustfunds/downloads/technicalpanelreport2010-2011.pdf.
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    The ``Other'' column reflects the change in other factors that 
contribute to the Medicare DSH estimates. These factors include the 
difference between the total inpatient hospital discharges and IPPS 
discharges and various adjustments to the payment rates that have been 
included over the years but are not reflected in the other columns.
    The following table shows the factors that are included in the 
``IPPS Hospital Market Basket Update Factor'' column of the previous 
table:
[GRAPHIC] [TIFF OMITTED] TP14AP26.120

    We are inviting public comments on our proposed Factor 1 for FY 
2027.
2. Calculation of Proposed Factor 2 for FY 2027
a. Background
    Section 1886(r)(2)(B) of the Act establishes Factor 2 in the 
calculation of the uncompensated care payment. Section 
1886(r)(2)(B)(ii) of the Act provides that, for FY 2018 and subsequent 
fiscal years, the second factor is 1 minus the percent change in the 
percent of individuals who are uninsured, as determined by comparing 
the percent of individuals who were uninsured in 2013 (as estimated by 
the Secretary, based on data from the Census Bureau or other sources 
the Secretary determines appropriate, and certified by the Chief 
Actuary of CMS) and the percent of individuals who were uninsured in 
the most recent period for which data are available (as so estimated 
and certified).
    We are continuing to use the methodology that was used in fiscal 
years (FYs) 2018 through 2026 to determine Factor 2 for FY 2027--to use 
the National Health Expenditure Accounts (NHEA) data to determine the 
percentage point change in the percent of individuals who are 
uninsured. We refer readers to the FY 2018 IPPS/LTCH PPS final rule (82 
FR 38197 and 38198) for a complete discussion of the NHEA and why we 
determined, and continue to believe, that it is the data source for the 
rate of uninsurance that best meets all our considerations and is 
consistent with the statutory requirement that the estimate of the rate 
of uninsurance be based on data from the Census Bureau or other sources 
the Secretary determines appropriate.
    In brief, the NHEA represents the government's official estimates 
of economic activity (that is, spending) within the health sector. The 
NHEA includes comprehensive enrollment estimates for total private 
health insurance (PHI) (including direct-purchase and employer-
sponsored plans), Medicare, Medicaid, the Children's Health Insurance 
Program (CHIP), and other public programs, and estimates of the number 
of individuals who are uninsured. The NHEA data are publicly available 
on the CMS website at https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/index.html.
    To compute Factor 2 for FY 2027, the first metric that is needed is 
the proportion of the total U.S. population that was uninsured in 2013. 
For a complete discussion of the approach OACT used to prepare the 
NHEA's estimate of the rate of uninsurance in 2013, including the data 
sources used, we refer readers to the FY 2024 IPPS/LTCH PPS final rule 
(88 FR 58998-58999).
    The next metrics needed to compute Factor 2 for FY 2027 are 
projections of the rate of uninsurance in calendar years (CYs) 2026 and 
2027 for the total U.S. population. On an annual basis, OACT projects 
enrollment and spending trends for the coming 10-year period. The most 
recent projections are for 2024 through 2033 and were published on June 
25, 2025. Those projections used the latest NHEA historical data that 
were available at the time of their construction (that is, all NHEA 
historical data through 2023). The NHEA projection methodology accounts 
for expected changes in enrollment across all of the categories of 
insurance coverage previously noted. For a complete discussion of how 
the NHEA data account for expected changes in enrollment across all the 
categories of insurance coverage previously noted, we refer readers to 
the FY 2024 IPPS/LTCH PPS final rule (88 FR 58999).
b. Proposed Factor 2 for FY 2027
    Using these data sources and the previously described 
methodologies, at the time of developing this proposed rule, OACT has 
estimated that the uninsured rate for the historical baseline year of 
2013 was 14.0 percent, and that the uninsured rates for CYs 2026 and 
2027 are projected to be 9.0 and 9.1percent, respectively. As required 
by section 1886(r)(2)(B)(ii) of the Act, the Chief Actuary of CMS 
certified these

[[Page 19485]]

estimates. We refer readers to OACT's Memorandum on Certification of 
Rates of Uninsured prepared for this proposed rule for further details 
on the methodology and assumptions that were used in the projection of 
these rates of uninsurance.\101\
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    \101\ See https://www.cms.gov/files/document/certification-rates-uninsured-2027-proposed-rule.pdf.
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    As with the CBO estimates on which we based Factor 2 for fiscal 
years before FY 2018, the NHEA estimates are for a calendar year. Under 
the approach originally adopted in the FY 2014 IPPS/LTCH PPS final rule 
(79 FR 50014), we use a weighted average approach to project the rate 
of uninsurance for each fiscal year. We continue to believe that, in 
order to estimate the rate of uninsurance during a fiscal year 
accurately, Factor 2 should reflect the estimated rate of uninsurance 
that hospitals will experience during the fiscal year, rather than the 
rate of uninsurance during only one of the calendar years the fiscal 
year spans. Accordingly, in this proposed rule, we are continuing to 
apply the weighted average approach used in past fiscal years to 
estimate this proposed rule's rate of uninsurance for FY 2027.
    OACT certified the estimate of the rate of uninsurance for FY 2027 
determined using this weighted average approach to be reasonable and 
appropriate for purposes of section 1886(r)(2)(B)(ii) of the Act.\1\ We 
note that we may also consider the use of more recent data that may 
become available before publication of the final rule, for purposes of 
estimating the rates of uninsurance used in the calculation of the 
final Factor 2 for FY 2027.
    The calculation of the proposed Factor 2 for FY 2027 is as follows:
     Percent of individuals without insurance for CY 2013: 14.0 
percent.
     Percent of individuals without insurance for CY 2026: 9.0 
percent.
     Percent of individuals without insurance for CY 2027: 9.1 
percent.
     Percent of individuals without insurance for FY 2027: 
(0.25 times 0.090) + (0.75 times 0.091) = 9.1 percent.
     FY 2027's proposed Factor 2 is calculated as 1 minus the 
percent change in the percent of individuals without insurance between 
CY 2013 and FY 2027.
     Proposed Factor 2 is as follows: 1-[verbar]((0.14-0.091)/
0.14)[verbar] = 1-0.3500 = 0.6500.
    We propose that Factor 2 for FY 2027 would be 65.00 percent.
    The proposed FY 2027 uncompensated care amount is equivalent to 
proposed Factor 1 multiplied by proposed Factor 2, which is 
$7,460,212,500.
    We invite public comments on our proposed Factor 2 for FY 2027.
3. Calculation of Proposed Factor 3 for FY 2027
a. General Background
    Section 1886(r)(2)(C) of the Act defines Factor 3 in the 
calculation of the uncompensated care payment. As we have discussed 
earlier, section 1886(r)(2)(C) of the Act states that Factor 3 is equal 
to the percent, for each subsection (d) hospital, that represents the 
quotient of: (1) the amount of uncompensated care for such hospital for 
a period selected by the Secretary (as estimated by the Secretary, 
based on appropriate data (including, in the case where the Secretary 
determines alternative data are available that are a better proxy for 
the costs of subsection (d) hospitals for treating the uninsured, the 
use of such alternative data)); and (2) the aggregate amount of 
uncompensated care for all subsection (d) hospitals that receive a 
payment under section 1886(r) of the Act for such period (as so 
estimated, based on such data).
    Therefore, Factor 3 is a hospital-specific value that expresses the 
proportion of the estimated uncompensated care amount for each 
subsection (d) hospital and each subsection (d) Puerto Rico hospital 
with the potential to receive Medicare DSH payments relative to the 
estimated uncompensated care amount for all hospitals estimated to 
receive Medicare DSH payments in the fiscal year for which the 
uncompensated care payment is to be made. Factor 3 is applied to the 
product of Factor 1 and Factor 2 to determine the amount of the 
uncompensated care payment that each eligible hospital will receive for 
FY 2014 and subsequent fiscal years. To implement the statutory 
requirements for this factor of the uncompensated care payment formula, 
it was necessary for us to determine: (1) the definition of 
uncompensated care or, in other words, the specific items that are to 
be included in the numerator (the estimated uncompensated care amount 
for an individual hospital) and the denominator (the estimated 
uncompensated care amount for all hospitals estimated to receive 
Medicare DSH payments in the applicable fiscal year); (2) the data 
source(s) for the estimated uncompensated care amount; and (3) the 
timing and manner of computing the quotient for each hospital estimated 
to receive Medicare DSH payments. The statute instructs the Secretary 
to estimate the amounts of uncompensated care for a period based on 
appropriate data. In addition, the statute permits the Secretary to use 
alternative data in the case where the Secretary determines that such 
alternative data are available that are a better proxy for the costs of 
subsection (d) hospitals for treating individuals who are uninsured. 
For a discussion of the methodology, we used to calculate Factor 3 for 
fiscal years (FYs) 2014 through 2022, we refer readers to the FY 2024 
IPPS/LTCH final rule (88 FR 59001 and 59002).
b. Background on the Methodology Used To Calculate Factor 3 for FY 2024 
and Subsequent Years
    Section 1886(r)(2)(C) of the Act governs the selection of the data 
to be used in calculating Factor 3 and allows the Secretary the 
discretion to determine the time periods from which we derive the data 
to estimate the numerator and the denominator of the Factor 3 quotient. 
Specifically, section 1886(r)(2)(C)(i) of the Act defines the numerator 
of the quotient as the amount of uncompensated care for a subsection 
(d) hospital for a period selected by the Secretary. Section 
1886(r)(2)(C)(ii) of the Act defines the denominator as the aggregate 
amount of uncompensated care for all subsection (d) hospitals that 
receive a payment under section 1886(r) of the Act for such period. In 
the FY 2014 IPPS/LTCH PPS final rule (78 FR 50634 through 50647), we 
adopted a process of making interim payments with final cost report 
settlement for both the empirically justified Medicare DSH payments and 
the uncompensated care payments required by section 3133 of the 
Affordable Care Act. Consistent with that process, we also determined 
the time period from which to calculate the numerator and denominator 
of the Factor 3 quotient in a way that would be consistent with making 
interim and final payments. Specifically, we must have Factor 3 values 
available for hospitals that we estimate will qualify for Medicare DSH 
payments for a fiscal year and for those hospitals that we do not 
estimate will qualify for Medicare DSH payments for that fiscal year 
but that may ultimately qualify for Medicare DSH payments for that 
fiscal year at the time of cost report settlement.
    As described in the FY 2022 IPPS/LTCH PPS final rule, commenters 
expressed concerns that the use of only 1 year of data to determine 
Factor 3 would lead to significant variations in year-to-year 
uncompensated care payments. Some stakeholders recommended the use of 2 
years of

[[Page 19486]]

historical data from Worksheet S-10 data of the Medicare cost report 
(86 FR 45237). In the FY 2022 IPPS/LTCH PPS final rule, we stated that 
we would consider using multiple years of data when the vast majority 
of providers had been audited for more than 1 fiscal year under the 
revised reporting instructions. Audited FY 2020 cost reports were 
available for the development of the FY 2024 IPPS/LTCH PPS proposed and 
final rules. Feedback from previous audits and lessons learned were 
incorporated into the audit process for the FY 2020 reports.
    In consideration of the comments discussed in the FY 2022 IPPS/LTCH 
PPS final rule, in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49036 
through 49047), we finalized a policy of using a multi-year average of 
audited Worksheet S-10 data to determine Factor 3 for FY 2023 and 
subsequent fiscal years. We explained our belief that this approach 
would be generally consistent with our past practice of using the most 
recent single year of audited data from the Worksheet S-10, while also 
addressing commenters' concerns regarding year-to-year fluctuations in 
uncompensated care payments. Under this policy, we used a 2-year 
average of audited FYs 2018 and 2019 Worksheet S-10 data to calculate 
Factor 3 for FY 2023. We also indicated that we expected FY 2024 would 
be the first year that 3 years of audited data would be available at 
the time of rulemaking. For FY 2024 and subsequent fiscal years, we 
finalized a policy of using a 3-year average of the uncompensated care 
data from the 3 most recent fiscal years for which audited data are 
available to determine Factor 3. Consistent with the approach that we 
followed when multiple years of data were previously used in the Factor 
3 methodology, if a hospital does not have data for all 3 years used in 
the Factor 3 calculation, we will determine Factor 3 based on an 
average of the hospital's available data. For IHS and Tribal hospitals 
and Puerto Rico hospitals, we use the same multi-year average of 
Worksheet S-10 data to determine Factor 3 for FY 2024 and subsequent 
fiscal years as is used to determine Factor 3 for all other DSH-
eligible hospitals (in other words, hospitals eligible to receive 
empirically justified Medicare DSH payments for a fiscal year) to 
determine Factor 3.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49033 through 
49047), we also modified our policy regarding cost reports that start 
in one fiscal year and span the entirety of the following fiscal year. 
Specifically, in the rare cases when we use a cost report that starts 
in one fiscal year and spans the entirety of the subsequent fiscal year 
to determine uncompensated care costs for the subsequent fiscal year, 
we would not use the same cost report to determine the hospital's 
uncompensated care costs for the earlier fiscal year. We explained that 
using the same cost report to determine uncompensated care costs for 
both fiscal years would not be consistent with our intent to smooth 
year-to-year variation in uncompensated care costs. As an alternative, 
we finalized our proposal to use the hospital's most recent prior cost 
report, if that cost report spans the applicable period.\102\
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    \102\ For example, in determining Factor 3 for FY 2023, we did 
not use the same cost report to determine a hospital's uncompensated 
care costs for both FY 2018 and FY 2019. Rather, we used the cost 
report that spanned the entirety of FY 2019 to determine 
uncompensated care costs for FY 2019 and used the hospital's most 
recent prior cost report to determine its uncompensated care costs 
for FY 2018, provided that cost report spanned some portion of FY 
2018.
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(1) Scaling Factor
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69323), we continued 
the policy finalized in the FY 2023 IPPS/LTCH PPS final rule (87 FR 
49042) to address the effects of calculating Factor 3 using data from 
multiple fiscal years, in which we apply a scaling factor to the Factor 
3 values calculated for all DSH-eligible hospitals so that total 
uncompensated care payments to hospitals that are projected to be DSH-
eligible for a fiscal year will be consistent with the estimated amount 
available to make uncompensated care payments for that fiscal year. 
Pursuant to that policy, we divide 1 (the expected sum of all DSH-
eligible hospitals' Factor 3 values) by the actual sum of all DSH-
eligible hospitals' Factor 3 values and then multiply the quotient by 
the uncompensated care payment determined for each DSH-eligible 
hospital to obtain a scaled uncompensated care payment amount for each 
hospital. This process is designed to ensure that the sum of the scaled 
uncompensated care payments for all hospitals that are projected to be 
DSH-eligible is consistent with the estimate of the total amount 
available to make uncompensated care payments for the applicable fiscal 
year.
(2) New Hospital Policy
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69323), we continued 
our new hospital policy that was modified in the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 49042) and initially adopted in the FY 2020 IPPS/LTCH 
PPS final rule (84 FR 42370 through 42371) to determine Factor 3 for 
new hospitals. Consistent with our policy of using multiple years of 
cost reports to determine Factor 3, we defined new hospitals as 
hospitals that do not have cost report data for the most recent year of 
data being used in the Factor 3 calculation. Under this definition, the 
cut-off date for the new hospital policy is the beginning of the fiscal 
year after the most recent year for which audits of the Worksheet S-10 
data have been conducted. For FY 2027, the FY 2023 cost reports are the 
most recent year of cost reports for which audits of Worksheet S-10 
data have been conducted. Thus, hospitals with CMS Certification 
Numbers (CCNs) established on or after October 1, 2023, would be 
subject to the new hospital policy for FY 2027.
    Under our modified new hospital policy, if a new hospital has a 
preliminary projection of being DSH-eligible based on its most recent 
available disproportionate patient percentage, it may receive interim 
empirically justified DSH payments. However, new hospitals will not 
receive interim uncompensated care payments because we would have no 
uncompensated care data on which to determine what those interim 
payments should be. The MAC will make a final determination concerning 
whether the hospital is eligible to receive Medicare DSH payments at 
cost report settlement. In FY 2025, while we continued to determine the 
numerator of the Factor 3 calculation using the new hospital's 
uncompensated care costs reported on Worksheet S-10 of the hospital's 
cost report for the current fiscal year, we determined Factor 3 for new 
hospitals using a denominator based solely on uncompensated care costs 
from cost reports for the most recent fiscal year for which audits have 
been conducted. In addition, we applied a scaling factor to the Factor 
3 calculation for a new hospital.\103\
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    \103\ In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49042), we 
explained our belief that applying the scaling factor is appropriate 
for purposes of calculating Factor 3 for all hospitals, including 
new hospitals and hospitals that are treated as new hospitals, to 
improve consistency and predictability across all hospitals.
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(3) Newly Merged Hospital Policy
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 690323 through 
690324), we continued our policy of treating hospitals that merge after 
the development of the final rule for the applicable fiscal year 
similar to new hospitals. As explained in the FY 2015 IPPS/LTCH PPS 
final rule (79 FR 50021), for these newly merged

[[Page 19487]]

hospitals, we do not have data currently available to calculate a 
Factor 3 amount that accounts for the merged hospital's uncompensated 
care burden. In the FY 2015 IPPS/LTCH PPS final rule (79 FR 50021 and 
50022), we finalized a policy under which Factor 3 for hospitals that 
we do not identify as undergoing a merger until after the public 
comment period and additional review period following the publication 
of the final rule or that undergo a merger during the fiscal year will 
be recalculated similar to new hospitals.
    Consistent with the policy adopted in the FY 2015 IPPS/LTCH PPS 
final rule, in the FY 2025 IPPS/LTCH PPS final rule (89 FR 690323 
through 690324), we stated that we would continue to treat newly merged 
hospitals in a similar manner to new hospitals, such that the newly 
merged hospital's final uncompensated care payment will be determined 
at cost report settlement where the numerator of the newly merged 
hospital's Factor 3 will be based on the cost report of only the 
surviving hospital (that is, the newly merged hospital's cost report) 
for the current fiscal year. However, if the hospital's cost reporting 
period includes less than 12 months of data, the data from the newly 
merged hospital's cost report will be annualized for purposes of the 
Factor 3 calculation. Consistent with the methodology used to determine 
Factor 3 for new hospitals described in section IV.E.3. of the preamble 
of this proposed rule, we continued our policy for determining Factor 3 
for newly merged hospitals using a denominator that is the sum of the 
uncompensated care costs for all DSH-eligible hospitals, as reported on 
Worksheet S-10 of their cost reports for the most recent fiscal year 
for which audits have been conducted. In addition, we apply a scaling 
factor, as discussed in section IV.E.3. of the preamble of this 
proposed rule, to the Factor 3 calculation for a newly merged hospital. 
In the FY 2025 IPPS/LTCH PPS final rule, we explained that consistent 
with past policy, interim uncompensated care payments for the newly 
merged hospital would be based only on the data for the surviving 
hospital's CCN available at the time of the development of the final 
rule.
(4) CCR Trim Methodology
    The calculation of a hospital's total uncompensated care costs on 
Worksheet S-10 requires the use of the hospital's cost to charge ratio 
(CCR). In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69324), we 
continued the policy of trimming CCRs, which we adopted in the FY 2023 
IPPS/LTCH PPS final rule (87 FR 49043), for FY 2025. Under this policy, 
we apply the following steps to determine the applicable CCR separately 
for each fiscal year that is included as part of the multi-year average 
used to determine Factor 3:
    Step 1: Remove Maryland hospitals. In addition, we will remove all-
inclusive rate providers because their CCRs are not comparable to the 
CCRs calculated for other IPPS hospitals.
    Step 2: Calculate a CCR ``ceiling'' for the applicable fiscal year 
with the following data: for each IPPS hospital that was not removed in 
Step 1 (including hospitals that are not DSH-eligible), we use cost 
report data to calculate a CCR by dividing the total costs on Worksheet 
C, Part I, Line 202, Column 3 by the charges reported on Worksheet C, 
Part I, Line 202, Column 8. (Combining data from multiple cost reports 
from the same fiscal year is not necessary, as the longer cost report 
will be selected.) The ceiling is calculated as 3 standard deviations 
above the national geometric mean CCR for the applicable fiscal year. 
This approach is consistent with the methodology for calculating the 
CCR ceiling used for high-cost outliers. Remove all hospitals that 
exceed the ceiling so that these aberrant CCRs do not skew the 
calculation of the statewide average CCR.
    Step 3: Using the CCRs for the remaining hospitals in Step 2, 
determine the urban and rural statewide average CCRs for the applicable 
fiscal year for hospitals within each State (including hospitals that 
are not DSH-eligible), weighted by the sum of total hospital discharges 
from Worksheet S-3, Part I, Line 14, Column 15.
    Step 4: Assign the appropriate statewide average CCR (urban or 
rural) calculated in Step 3 to all hospitals, excluding all-inclusive 
rate providers, with a CCR for the applicable fiscal year greater than 
3 standard deviations above the national geometric mean for that fiscal 
year (that is, the CCR ``ceiling'').
    Step 5: For hospitals that did not report a CCR on Worksheet S-10, 
Line 1, we assign them the statewide average CCR for the applicable 
fiscal year as determined in step 3.
    After completing these steps, we re-calculate the hospital's 
uncompensated care costs (Line 30) for the applicable fiscal year using 
the trimmed CCR (the statewide average CCR (urban or rural, as 
applicable)).
(5) Uncompensated Care Data Trim Methodology
    After applying the CCR trim methodology, there are rare situations 
where a hospital has potentially aberrant uncompensated care data for a 
fiscal year that are unrelated to its CCR. Therefore, under the trim 
methodology for potentially aberrant uncompensated care costs (UCC) 
that was included as part of the methodology for purposes of 
determining Factor 3 in the FY 2021 IPPS/LTCH PPS final rule (85 FR 
58832), if the hospital's uncompensated care costs for any fiscal year 
that is included as a part of the multi-year average are an extremely 
high ratio (greater than 50 percent) of its total operating costs in 
the applicable fiscal year, we will determine the ratio of 
uncompensated care costs to the hospital's total operating costs from 
another available cost report, and apply that ratio to the total 
operating expenses for the potentially aberrant fiscal year to 
determine an adjusted amount of uncompensated care costs for the 
applicable fiscal year.\104\
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    \104\ For example, if a hospital's FY 2018 cost report is 
determined to include potentially aberrant data, data from its FY 
2019 cost report would be used for the ratio calculation.
---------------------------------------------------------------------------

    However, we note that we have audited the Worksheet S-10 data that 
will be used in the Factor 3 calculation for a number of hospitals. 
Because the UCC data for these hospitals have been subject to audit, we 
believe that there is increased confidence that if high uncompensated 
care costs are reported by these audited hospitals, the information is 
accurate. Therefore, as we explained in the FY 2021 IPPS/LTCH PPS final 
rule (85 FR 58832), we determined it is unnecessary to apply the UCC 
trim methodology for a fiscal year for which a hospital's UCC data have 
been audited.
    In rare cases, hospitals that are not currently projected to be 
DSH-eligible and that do not have audited Worksheet S-10 data may have 
a potentially aberrant amount of insured patients' charity care costs 
(line 23 column 2). In the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69324 through 69325), we stated that in addition to the UCC trim 
methodology, we will continue to apply an alternative trim specific to 
certain hospitals that do not have audited Worksheet S-10 data for one 
or more of the fiscal years that are used in the Factor 3 calculation. 
For FY 2023 and subsequent fiscal years, in the rare case that a 
hospital's insured patients' charity care costs for a fiscal year are 
greater than $7 million and the ratio of the hospital's cost of insured 
patient charity care (line 23 column 2) to total uncompensated care 
costs (line 30) is greater than 60 percent, we will not calculate a 
Factor 3 for the hospital at the time of proposed or final rulemaking. 
This trim will only impact hospitals that are not currently

[[Page 19488]]

projected to be DSH-eligible; and therefore, are not part of the 
calculation of the denominator of Factor 3, which includes only 
uncompensated care costs for hospitals projected to be DSH-eligible. 
Consistent with the approach adopted in the FY 2022 IPPS/LTCH PPS final 
rule, if a hospital would be trimmed under both the UCC trim 
methodology and this alternative trim, we apply this trim in place of 
the existing UCC trim methodology. We continue to believe this 
alternative trim more appropriately addresses potentially aberrant 
insured patient charity care costs compared to the UCC trim 
methodology, because the UCC trim is based solely on the ratio of total 
uncompensated care costs to total operating costs and does not consider 
the level of insured patients' charity care costs.
    Similar to the approach initially adopted in the FY 2022 IPPS/LTCH 
PPS final rule (86 FR 45245 and 45246), in the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69324), we also stated that we would continue to use 
a threshold of 3 standard deviations from the mean ratio of insured 
patients' charity care costs to total uncompensated care costs (line 23 
column 2 divided by line 30) and a dollar threshold that is the median 
total uncompensated care cost reported on most recent audited cost 
reports for hospitals that are projected to be DSH-eligible. We stated 
that we continued to believe these thresholds are appropriate to 
address potentially aberrant data. We also continued to include 
Worksheet S-10 data from IHS/Tribal hospitals and Puerto Rico hospitals 
consistent with our policy finalized in the FY 2023 IPPS/LTCH PPS final 
rule (87 FR 49047 through 49051). In addition, we continued our policy 
adopted in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49044) of 
applying the same threshold amounts originally calculated for the FY 
2019 reports to identify potentially aberrant data for FY 2025 and 
subsequent fiscal years to facilitate transparency and predictability. 
If a hospital subject to this trim is determined to be DSH-eligible at 
cost report settlement, the MAC will calculate the hospital's Factor 3 
using the same methodology used to calculate Factor 3 for new 
hospitals.
c. Methodology for Calculating Factor 3 for FY 2027
    For FY 2027, consistent with Sec.  412.106(g)(1)(iii)(C)(11), we 
are following the same methodology as applied in FY 2024 and described 
in the previous section of the preamble of this proposed rule, to 
determine Factor 3 using the most recent 3 years of audited cost 
reports, from FYs 2021, 2022, and 2023. Consistent with our approach 
for FY 2025, for FY 2027, we are also applying the scaling factor, new 
hospital, newly merged hospital, CCR trim methodology, UCC trim, and 
alternative trim methodology policies discussed in the previous section 
of the preamble of this proposed rule. For purposes of this proposed 
rule, we are using reports from the December 2025 HCRIS extract to 
calculate Factor 3. We intend to use the March 2026 update of HCRIS to 
calculate the final Factor 3 for the FY 2027 IPPS/LTCH PPS final rule.
    Thus, for FY 2027, we will use 3 years of audited Worksheet S-10 
Part 1 data to calculate Factor 3 for all eligible hospitals, including 
IHS and Tribal hospitals and Puerto Rico hospitals that have a cost 
report for 2013, following steps. We note that these steps use 
Worksheet S-10, Part I, rather than Worksheet S-10, Part II, to 
calculate Factor 3.
    Step 1: Select the hospital's longest cost report for each of the 
most recent 3 years of FY audited cost reports (FYs 2021, 2022, and 
2023). Alternatively, in the rare case when the hospital has no cost 
report for a particular year because the cost report for the previous 
fiscal year spanned the more recent fiscal year, the previous fiscal 
year cost report will be used in this step. In the rare case that using 
a previous fiscal year cost report results in a period without a 
report, we would use the prior year report, if that cost report spanned 
the applicable period.\105\ In general, we note that, for purposes of 
the Factor 3 methodology, references to a fiscal year cost report are 
to the cost report that spans the relevant fiscal year.
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    \105\ For example, if a hospital does not have a FY 2021 cost 
report because the hospital's FY 2020 cost report spanned the FY 
2021 time period, we will use the FY 2020 cost report that spanned 
the FY 2021 time period for this step. Using the same example, where 
the hospital's FY 2020 report is used for the FY 2021 time period, 
we will use the hospital's FY 2019 report if it spans some of the FY 
2020 time period. We will not use the same cost report for both the 
FY 2021 and the FY 2020 time periods.
---------------------------------------------------------------------------

    Step 2: Annualize the UCC from Worksheet S-10, Part I, Line 30, if 
a cost report is more than or less than 12 months. (If applicable, use 
the statewide average CCR (urban or rural) to calculate uncompensated 
care costs.)
    Step 3: Combine adjusted and/or annualized uncompensated care costs 
for hospitals that merged using the merger policy.
    Step 4: Calculate Factor 3 for all DSH-eligible hospitals using 
annualized uncompensated care costs (Worksheet S-10, Part I, Line 30) 
based on cost report data from the most recent 3 years of audited cost 
reports (from Step 1, 2 or 3). New hospitals and other hospitals that 
are treated as if they are new hospitals for purposes of Factor 3 are 
excluded from this calculation.
    Step 5: Average the Factor 3 values from Step 4; that is, add the 
Factor 3 values, and divide that amount by the number of cost reporting 
periods with data to compute an average Factor 3 for the hospital. 
Multiply by a scaling factor, as discussed in the previous section of 
the preamble of this proposed rule.
    As we explained previously in this section, for FY 2027, we are 
also applying the scaling factor, new hospital, newly merged hospital, 
CCR trim methodology, UCC trim, and alternative trim methodology 
policies discussed in the previous section of the preamble of this 
proposed rule. For a hospital that is subject to either of the trims 
for potentially aberrant data (the UCC trim and alternative trim 
methodology explained in the previous section of the preamble of this 
proposed rule) and is ultimately determined to be DSH-eligible at cost 
report settlement, its uncompensated care payment will be calculated 
only after the hospital's reporting of insured charity care costs on 
its FY 2027 Worksheet S-10 has been reviewed. Accordingly, the MAC will 
calculate a Factor 3 for the hospital only after reviewing the 
uncompensated care information reported on Worksheet S-10 of the 
hospital's FY 2027 cost report. Then we will calculate Factor 3 for the 
hospital using the same methodology used to determine Factor 3 for new 
hospitals. Specifically, the numerator will reflect the uncompensated 
care costs reported on the hospital's FY 2027 cost report, while the 
denominator will reflect the sum of the uncompensated care costs 
reported on Worksheet S-10 of the FY 2023 cost reports of all DSH-
eligible hospitals. In addition, we will apply a scaling factor, as 
discussed previously, to the Factor 3 calculation for the hospital.
    Under the CCR trim methodology, for purposes of this FY 2027 IPPS/
LTCH proposed rule, the statewide average CCR was applied to 12 
hospitals' FY 2021 reports, of which 6 hospitals had FY 2021 Worksheet 
S-10 data. The statewide average CCR was applied to 10 hospitals' FY 
2022 reports, of which 4 hospitals had FY 2022 Worksheet S-10 data. The 
statewide average CCR was applied to 12 hospitals' FY 2023 reports, of 
which 7 hospitals had FY 2023 Worksheet S-10 data.
    For purposes of the FY 2027 IPPS/LTCH PPS final rule, consistent 
with our Factor 3 methodology since the FY 2014 IPPS/LTCH PPS final 
rule (78 FR

[[Page 19489]]

50642), we intend to use data from the March 2026 HCRIS extract for 
this calculation, which would be the latest quarterly HCRIS extract 
that is publicly available at the time of the development of the FY 
2027 IPPS/LTCH PPS final rule.
    Regarding requests from providers to amend and/or reopen previously 
audited Worksheet S-10 data for the most recent 3 cost reporting years 
that are used in the methodology for calculating Factor 3, we note that 
MACs follow normal timelines and procedures. For purposes of the Factor 
3 calculation for the FY 2027 IPPS/LTCH PPS final rule, any amended 
reports and/or reopened reports would need to have completed the 
amended report and/or reopened report submission processes by the end 
of March 2026. In other words, if the amended report and/or reopened 
report is not available for the March HCRIS extract, then that amended 
and/or reopened report data would not be part of the FY 2027 IPPS/LTCH 
PPS final rule's Factor 3 calculation. We note that the March HCRIS 
data extract will be available during the comment period for this 
proposed rule if providers wanted to verify that their amended and/or 
reopened data is reflected in the March HCRIS extract.
d. Per-Discharge Amount of Interim Uncompensated Care Payments for FY 
2027
    Since FY 2014, we have made interim uncompensated care payments 
during the fiscal year on a per-discharge basis. Typically, we use a 3-
year average of the number of discharges for a hospital to produce an 
estimate of the amount of the hospital's uncompensated care payment per 
discharge. Specifically, the hospital's total uncompensated care 
payment amount for the applicable fiscal year is divided by the 
hospital's historical 3-year average of discharges computed using the 
most recent available data to determine the uncompensated care payment 
per discharge for that fiscal year.
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69328 
and 69329), we finalized a policy to use a 3-year average of the most 
recent years of available historical discharge data to calculate a per-
discharge payment amount that would be used to make interim 
uncompensated care payments to each projected DSH-eligible hospital 
during FY 2027 and subsequent fiscal years, codified at 42 CFR 
412.106(i)(1). We are applying this policy for FY 2027. Interim 
uncompensated care payments made to a hospital during the fiscal year 
are reconciled following the end of the year to ensure that the final 
payment amount is consistent with the hospital's prospectively 
determined uncompensated care payment for the fiscal year.
    As we explained in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69329 through 69330), we also finalized a voluntary process in the FY 
2021 IPPS/LTCH PPS final rule (85 FR 58833 and 58834), through which a 
hospital may submit a request to its MAC for a lower per-discharge 
interim uncompensated care payment amount, including a reduction to 
zero, once before the beginning of the fiscal year and/or once during 
the fiscal year. In conjunction with this request, the hospital must 
provide supporting documentation demonstrating that there would likely 
be a significant recoupment at cost report settlement if the per-
discharge amount is not lowered (for example, recoupment of 10 percent 
or more of the hospital's total uncompensated care payment, or at least 
$100,000). For example, a hospital might submit documentation showing a 
large projected increase in discharges during the fiscal year to 
support reduction of its per-discharge uncompensated care payment 
amount. As another example, a hospital might request that its per-
discharge uncompensated care payment amount be reduced to zero midyear 
if the hospital's interim uncompensated care payments during the year 
have already surpassed the total uncompensated care payment calculated 
for the hospital.
    Under the policy we finalized in the FY 2021 IPPS/LTCH PPS final 
rule (85 FR 58833 through 58834), the hospital's MAC will evaluate 
these requests and the supporting documentation before the beginning of 
the fiscal year and/or with midyear requests when the historical 
average number of discharges is lower than the hospital's projected 
discharges for the current fiscal year. If, following review of the 
request and the supporting documentation, the MAC agrees that there 
likely would be significant recoupment of the hospital's interim 
Medicare uncompensated care payments at cost report settlement, the 
only change that will be made is to lower the per-discharge amount 
either to the amount requested by the hospital or another amount 
determined by the MAC to be appropriate to reduce the likelihood of a 
substantial recoupment at cost report settlement. If the MAC determines 
it would be appropriate to reduce the interim Medicare uncompensated 
care payment per-discharge amount, that updated amount will be used for 
purposes of the outlier payment calculation for the remainder of the 
fiscal year. We are continuing to apply this policy for FY 2027. We 
refer readers to the Addendum in the FY 2023 IPPS/LTCH final rule for a 
more detailed discussion of the steps for determining the operating and 
capital Federal payment rate and the outlier payment calculation (87 FR 
49431 through 49432). No change would be made to the total 
uncompensated care payment amount determined for the hospital on the 
basis of its Factor 3. In other words, any change to the per-discharge 
uncompensated care payment amount will not change how the total 
uncompensated care payment amount will be reconciled at cost report 
settlement.
e. Process for Notifying CMS of Merger Updates and To Report Upload 
Issues
    As we have done for every proposed and final rule beginning in FY 
2014, in conjunction with this proposed rule, we will publish on the 
CMS website a table listing Factor 3 for hospitals that we estimate 
will receive empirically justified Medicare DSH payments in FY 2027 
(that is, those hospitals that will receive interim uncompensated care 
payments during the fiscal year), and for the remaining subsection (d) 
hospitals and subsection (d) Puerto Rico hospitals that have the 
potential of receiving an uncompensated care payment in the event that 
they receive an empirically justified Medicare DSH payment for the 
fiscal year as determined at cost report settlement. However, we note 
that a Factor 3 will not be published for new hospitals and hospitals 
that are subject to the alternative trim for hospitals with potentially 
aberrant data that are not projected to be DSH-eligible.
    We will also publish a supplemental data file containing a list of 
the mergers that we are aware of and the computed uncompensated care 
payment for each merged hospital. In the DSH uncompensated care 
supplemental data file, we list new hospitals and the 17 hospitals that 
would be subject to the alternative trim for hospitals with potentially 
aberrant data that are not projected to be DSH-eligible, with a N/A in 
the Factor 3 column.
    Hospitals have 60 days from the date of public display of this FY 
2027 IPPS/LTCH PPS proposed rule in the Federal Register to review the 
table and supplemental data file published on the CMS website in 
conjunction with this proposed rule and to notify CMS in writing of 
issues related to mergers and/or to report potential upload 
discrepancies due to MAC mishandling of Worksheet S-10 data during the

[[Page 19490]]

report submission process.\106\ Comments raising issues or concerns 
that are specific to the information included in the table and 
supplemental data file should be submitted by email to the CMS inbox at 
[email protected]. We will address comments related to mergers 
and/or reporting upload discrepancies submitted to the CMS DSH inbox as 
appropriate in the table and the supplemental data file that we publish 
on the CMS website in conjunction with the publication of the FY 2027 
IPPS/LTCH PPS final rule. All other comments submitted in response to 
our proposals for FY 2027 must be submitted in one of the three ways 
found in the ADDRESSES section of this proposed rule before the close 
of the comment period in order to be assured consideration. In 
addition, we note that the CMS DSH inbox is not intended for Worksheet 
S-10 audit process related emails, which should be directed to the 
MACs.
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    \106\ For example, if the report does not reflect audit results 
due to MAC mishandling, or the most recent report differs from a 
previously accepted, amended report due to MAC mishandling.
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    We invite public comments on all the previously described proposals 
for Factor 3 for FY 2027.

V. Other Decisions and Changes to the IPPS for Operating Costs

A. Proposed Changes to MS-DRGs Subject to Postacute Care Transfer 
Policy and MS-DRG Special Payments Policies (Sec.  412.4)

1. Background
    Existing regulations at 42 CFR 412.4(a) define discharges under the 
IPPS as situations in which a patient is formally released from an 
acute care hospital or dies in the hospital. Section 412.4(b) defines 
acute care transfers, and Sec.  412.4(c) defines postacute care 
transfers. Our policy set forth in Sec.  412.4(f) provides that when a 
patient is transferred and his or her length of stay is less than the 
geometric mean length of stay for the MS-DRG to which the case is 
assigned, the transferring hospital is generally paid based on a 
graduated per diem rate for each day of stay, not to exceed the full 
MS-DRG payment that would have been made if the patient had been 
discharged without being transferred.
    The per diem rate paid to a transferring hospital is calculated by 
dividing the full MS-DRG payment by the geometric mean length of stay 
for the MS-DRG. Based on an analysis that showed that the first day of 
hospitalization is the most expensive (60 FR 45804), our policy 
generally provides for payment that is twice the per diem amount for 
the first day, with each subsequent day paid at the per diem amount up 
to the full MS-DRG payment (Sec.  412.4(f)(1)). Transfer cases also are 
eligible for outlier payments. In general, the outlier threshold for 
transfer cases, as described in Sec.  412.80(b), is equal to (Fixed-
Loss Outlier threshold for Nontransfer Cases adjusted for geographic 
variations in costs/Geometric Mean Length of Stay for the MS-DRG) * 
(Length of Stay for the Case plus 1 day).
    We established the criteria set forth in Sec.  412.4(d) for 
determining which DRGs qualify for postacute care transfer payments in 
the FY 2006 IPPS final rule (70 FR 47419 through 47420). The 
determination of whether a DRG is subject to the postacute care 
transfer policy was initially based on the Medicare Version 23.0 
GROUPER (FY 2006) and data from the FY 2004 MedPAR file. However, if a 
DRG did not exist in Version 23.0 or a DRG included in Version 23.0 is 
revised, we use the current version of the Medicare GROUPER and the 
most recent complete year of MedPAR data to determine if the DRG is 
subject to the postacute care transfer policy. Specifically, if the MS-
DRG's total number of discharges to postacute care equals or exceeds 
the 55th percentile for all MS-DRGs and the proportion of short-stay 
discharges to postacute care to total discharges in the MS-DRG exceeds 
the 55th percentile for all MS-DRGs, CMS will apply the postacute care 
transfer policy to that MS-DRG and to any other MS-DRG that shares the 
same base MS-DRG. The statute at subparagraph 1886(d)(5)(J) of the Act 
directs CMS to identify MS-DRGs based on a high volume of discharges to 
postacute care facilities and a disproportionate use of postacute care 
services. As discussed in the FY 2006 IPPS final rule (70 FR 47416), we 
determined that the 55th percentile is an appropriate level at which to 
establish these thresholds. In that same final rule (70 FR 47419), we 
stated that we will not revise the list of DRGs subject to the 
postacute care transfer policy annually unless we are making a change 
to a specific MS-DRG.
    To account for MS-DRGs subject to the postacute care policy that 
exhibit exceptionally higher shares of costs very early in the hospital 
stay, Sec.  412.4(f) also includes a special payment methodology. For 
these MS-DRGs, hospitals receive 50 percent of the full MS-DRG payment, 
plus the single per diem payment, for the first day of the stay, as 
well as a per diem payment for subsequent days (up to the full MS-DRG 
payment (Sec.  412.4(f)(6))). For an MS-DRG to qualify for the special 
payment methodology, the geometric mean length of stay must be greater 
than 4 days, and the average charges of 1-day discharge cases in the 
MS-DRG must be at least 50 percent of the average charges for all cases 
within the MS-DRG. MS-DRGs that are part of an MS-DRG severity level 
group will qualify under the MS-DRG special payment methodology policy 
if any one of the MS-DRGs that share that same base MS-DRG qualifies 
(Sec.  412.4(f)(6)).
    Prior to the enactment of the Bipartisan Budget Act of 2018 (Pub. 
L. 115-123), under section 1886(d)(5)(J) of the Act, a discharge was 
deemed a ``qualified discharge'' if the individual was discharged to 
one of the following postacute care settings:
     A hospital or hospital unit that is not a subsection (d) 
hospital.
     A skilled nursing facility.
     Related home health services provided by a home health 
agency provided within a timeframe established by the Secretary 
(beginning within 3 days after the date of discharge).
    Section 53109 of the Bipartisan Budget Act of 2018 amended section 
1886(d)(5)(J)(ii) of the Act to also include discharges to hospice care 
provided by a hospice program as a qualified discharge, effective for 
discharges occurring on or after October 1, 2018. In the FY 2019 IPPS/
LTCH PPS final rule (83 FR 41394), we made conforming amendments to 
Sec.  412.4(c) of the regulation to include discharges to hospice care 
occurring on or after October 1, 2018, as qualified discharges. We 
specified that hospital bills with a Patient Discharge Status code of 
50 (Discharged/Transferred to Hospice--Routine or Continuous Home Care) 
or 51 (Discharged/Transferred to Hospice, General Inpatient Care or 
Inpatient Respite) are subject to the postacute care transfer policy in 
accordance with this statutory amendment.
2. Proposed Changes for FY 2027
    As discussed in the preamble of this proposed rule, based on our 
analysis of FY 2025 MedPAR claims data, CMS proposed to make changes to 
a number of MS-DRGs, effective for FY 2027. Specifically, we are 
proposing the following changes:
     Reassigning an ICD-10-PCS code describing the insertion of 
an endocardiac pacing electrode to MS-DRGs 228-229, deleting MS-DRGs 
258, 259, 260, 261 and 262, and creating proposed new MS-DRGs 210 and 
211 (Cardiac Pacemaker Revision or Device Replacement with MCC and 
without MCC, respectively).

[[Page 19491]]

     Reassigning the ICD-10-PCS codes describing extensive 
spinal fusions, fusions performed with a custom-made anatomically 
designed interbody fusion device and fusion of the sacroiliac joints 
using an internal fixation device with tulip connector from MS-DRGs 
402, 426-428, 447-448, 450-451, and 456-458 to proposed new MS-DRGs 
523, 524, and 525 (Extensive or Complex Spinal Fusion Procedures Except 
Cervical with MCC, with CC, and without CC/MCC, respectively).
     Redesignating an ICD-10-PCS code describing introduction 
of an antibiotic-eluting bone void filler from non-O.R. to non-O.R. 
affecting the MS-DRG assignment for MS-DRGs 463, 474, 477, 480, 492, 
616, and 628.
     Deleting MS-DRGs 485-487, and creating proposed new MS-DRG 
400 (Knee Procedures with Principal Diagnosis of Infection).
     Deleting MS-DRGs 466-468, and creating proposed new MS-DRG 
449 (Revision of Hip or Knee Replacement).
     Creating proposed new MS-DRG 403 (Hip or Knee Procedures 
with Principal Diagnosis of Periprosthetic Joint Infection with MCC or 
Insertion of Antibiotic-eluting Bone Void Filler) and proposed new MS-
DRG 404 (Hip or Knee Procedures with Principal Diagnosis of 
Periprosthetic Joint Infection without MCC).
     Deleting MS-DRGs 736, 737, 738, 739, 740 and 741 and 
creating proposed new MS-DRGs 731, 732, and 733 for uterine and adnexa 
procedures for female reproductive system malignancies.
     Deleting MS-DRG 264 (Other Circulatory System O.R. 
Procedures) and creating proposed new MS-DRGs 361 and 362 (Other 
Circulatory System O.R. Procedures with and without MCC, respectively).
     Adding ICD-10-PCS procedure codes describing the 
introduction of pancreatic islet cells to a new ``Islet Cell Transplant 
Procedures'' logic list in Pre-MDC MS-DRGs 008, 010, and 019.
    When proposing changes to MS-DRGs that involve adding, deleting, 
and reassigning procedure or diagnosis codes between proposed new and 
revised MS-DRGs, we continue to believe it is necessary to evaluate the 
affected MS-DRGs to determine whether they should be subject to the 
postacute care transfer policy. Considering the proposed changes to the 
MS-DRGs for FY 2027, according to the regulations under Sec.  412.4(d), 
we evaluated the proposed new MS-DRGs using the general postacute care 
transfer policy criteria and data from the FY 2025 MedPAR file. We 
continue to believe it is appropriate to assess new MS-DRGs and 
reassess revised MS-DRGs when proposing reassignment of procedure codes 
or diagnosis codes that would result in material changes to an MS-DRG. 
We evaluated any current MS-DRG if we estimate that more than 5 percent 
of the current cases would shift from the current assigned MS-DRGs to 
proposed new MS-DRGs, or to a current MS-DRG from a proposed revised or 
deleted MS-DRG.
    For existing MS-DRG 426 (Multiple Level Combined Anterior and 
Posterior Spinal Fusion Except Cervical with MCC or Custom-Made 
Anatomically Designed Interbody Fusion Device), MS-DRG 427 (Multiple 
Level Combined Anterior and Posterior Spinal Fusion Except Cervical 
with CC), and MS-DRG 428 (Multiple Level Combined Anterior and 
Posterior Spinal Fusion Except Cervical without CC/MCC)) and MS-DRGs 
456, 457, and 458 (Spinal Fusion Except Cervical with Spinal Curvature, 
Malignancy, Infection or Extensive Fusions with MCC, with CC, and 
without CC/MCC, respectively) we determined that more than 5 percent of 
the current cases would shift from the current assigned MS-DRGs to 
proposed new MS-DRGs 523, 524, and 525. For existing MS-DRGs 463, 464, 
and 465 (Wound Debridement and Skin Graft Except Hand for 
Musculoskeletal and Connective Tissue Disorders with MCC with CC, and 
without CC/MCC, respectively) and MS-DRGS 474, 475, and 476 (Amputation 
for Musculoskeletal System and Connective Tissue Disorders with MCC, 
with CC, and without CC/MCC, respectively) we determined that more than 
5 percent of the current cases would shift from the current assigned 
MS-DRGs to proposed new MS-DRGs 403 and 404. For existing MS-DRGs 616, 
617, and 618 (Amputation of Lower Limb for Endocrine, Nutritional and 
Metabolic Disorders with MCC, with CC, and without CC/MCC, 
respectively) we determined that more than 5 percent of the current 
cases would shift from the current assigned MS-DRGs to MS-DRGs 622, 
623, and 624 (Skin Grafts and Wound Debridement for Endocrine, 
Nutritional and Metabolic Disorders with MCC, with CC, and without CC/
MCC, respectively). We note that for all other proposed changes, the 
relative volume of cases shifting to or from current MS-DRGs does not 
exceed the 5 percent threshold.
    If an MS-DRG qualified for the postacute care transfer policy, we 
also evaluated that MS-DRG under the special payment methodology 
criteria according to regulations at Sec.  412.4(f)(6).
    We note that proposed new and revised MS-DRGs 210, 361, 362, 400, 
403, 404, 426, 457, 463, 464, 474, 475, 523, 524, 616, and 617 would 
qualify to be included on the list of MS-DRGs that are subject to the 
postacute care transfer policy. As described in the regulations at 
Sec.  42 CFR 412.4(d)(3)(ii)(D), MS-DRGs that share the same base MS-
DRG will all qualify under the MS-DRG postacute care transfer payment 
policy if any one of the MS-DRGs that share that same base MS-DRG 
qualifies. We therefore are proposing to add new or revised MS-DRGs 
210, 211, 361, 362, 400, 403, 404, 456, 457, 458, 523, 524, and 525 to 
the list of MS-DRGs that are subject to the postacute care transfer 
policy. We note that MS-DRGs 426, 427, 428, 463, 464, 465, 474, 475, 
476, 616, 617, and 618 are currently subject to the postacute care 
transfer policy. As a result of our review, these MS-DRGs, as proposed 
to be revised, would continue to qualify to be included on the list of 
MS-DRGs that are subject to the postacute care transfer policy.
    Using the December 2025 update of the FY 2025 MedPAR file, we have 
developed the following table which sets forth the most recent analysis 
of the postacute care transfer policy criteria completed for this 
proposed rule with respect to each of these proposed new or revised MS-
DRGs. For the FY 2027 final rule, we intend to update this analysis 
using the most recent available data at that time.
BILLING CODE 4120-01-P

[[Page 19492]]

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[[Page 19493]]


[GRAPHIC] [TIFF OMITTED] TP14AP26.122

    During our annual review of proposed new or revised MS-DRGs and 
analysis of the December 2025 update of the FY 2026 MedPAR file, we 
reviewed the list of proposed revised or new MS-DRGs that qualify to be 
included on the list of

[[Page 19494]]

MS-DRGs subject to the postacute care transfer policy for FY 2027 to 
determine if any of these MS-DRGs would also be subject to the special 
payment methodology policy for FY 2027.
    Based on our analysis of the proposed changes to the MS-DRGs 
included in the proposed rule, we determined that proposed new or 
revised MS-DRGs 362, 400, 404, 426, 457, 463, 617 met the criteria for 
the MS-DRG special payment methodology. As described in the regulations 
at Sec.  412.4(f)(6)(iv), MS-DRGs that share the same base MS-DRG will 
all qualify under the MS-DRG special payment policy if any one of the 
MS-DRGs that share that same base MS-DRG qualifies. Therefore, we are 
proposing that proposed new and revised MS-DRGs 361, 362, 400, 403, 
404, 456, 457, 458, 463, 464, 465, 616, 617, 618 would be subject to 
the MS-DRG special payment methodology, effective for FY 2027. We note 
that MS-DRGs 426, 427, and 428 are currently subject to the special 
payment methodology. As a result of our review, these MS-DRGs, as 
proposed to be revised, would continue to qualify to be included on the 
list of MS-DRGs that are subject to the special payment methodology.
    For the FY 2027 final rule, we intend to update this analysis using 
the most recent available data at that time.

[[Page 19495]]

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[[Page 19496]]


BILLING CODE 4120-01-C

B. Proposed Changes in the Inpatient Hospital Update for FY 2027 (Sec.  
412.64(d))

1. Proposed FY 2027 Inpatient Hospital Update
    In accordance with section 1886(b)(3)(B)(i) of the Act, each year 
we update the national standardized amount for inpatient hospital 
operating costs by a factor called the ``applicable percentage 
increase.'' For FY 2027, we are setting the applicable percentage 
increase by applying the adjustments listed in this section in the same 
sequence as we did for FY 2026. (We note that section 
1886(b)(3)(B)(xii) of the Act required an additional reduction each 
year only for FYs 2010 through 2019.) Specifically, consistent with 
section 1886(b)(3)(B) of the Act, as amended by sections 3401(a) and 
10319(a) of the Affordable Care Act, we are setting the applicable 
percentage increase by applying the following adjustments in the 
following sequence. The applicable percentage increase under the IPPS 
for FY 2027 is equal to the rate-of-increase in the hospital market 
basket for IPPS hospitals in all areas, subject to all of the 
following:
     A reduction of one-quarter of the applicable percentage 
increase (prior to the application of other statutory adjustments; also 
referred to as the market basket update or rate-of-increase (with no 
adjustments)) for hospitals that fail to submit quality information 
under rules established by the Secretary in accordance with section 
1886(b)(3)(B)(viii) of the Act.
     A reduction of three-quarters of the applicable percentage 
increase (prior to the application of other statutory adjustments; also 
referred to as the market basket update or rate-of-increase (with no 
adjustments)) for hospitals not considered to be meaningful EHR users 
in accordance with section 1886(b)(3)(B)(ix) of the Act.
     An adjustment based on changes in economy-wide multifactor 
productivity (the productivity adjustment) in accordance with section 
1886(b)(3)(B)(xi)(II) of the Act.
    Section 1886(b)(3)(B)(xi) of the Act, as added by section 3401(a) 
of the Affordable Care Act, states that application of the productivity 
adjustment may result in the applicable percentage increase being less 
than zero.
    As published in the FY 2006 IPPS final rule (70 FR 47403), in 
accordance with section 404 of Public Law 108-173, CMS determined a new 
frequency for rebasing the hospital market basket of every 4 years. In 
compliance with section 404 of Public Law 108-173, in the FY 2026 IPPS/
LTCH PPS final rule (90 FR 36859 through 36866), we replaced the 2018 
based IPPS operating and capital market baskets with the rebased and 
revised 2023-based IPPS operating and capital market baskets beginning 
in FY 2026. Consistent with our established frequency of rebasing the 
IPPS market basket every 4 years, we plan on proposing to rebase and 
revise the IPPS market in the FY 2030 IPPS/LTCH PPS proposed rule.
    We are proposing to base the FY 2027 market basket update used to 
determine the applicable percentage increase for the IPPS on IHS Global 
Inc.'s (IGI's) fourth quarter 2025 forecast of the 2023-based IPPS 
market basket rate-of-increase with historical data through third 
quarter 2025, which is estimated to be 3.2 percent. We are also 
proposing that if more recent data subsequently become available (for 
example, a more recent estimate of the market basket update), we would 
use such data, if appropriate, to determine the FY 2027 market basket 
update in the final rule.
    In the FY 2012 IPPS/LTCH PPS final rule (76 FR 51689 through 
51692), we finalized our methodology for calculating and applying the 
productivity adjustment. As we explained in that rule, section 
1886(b)(3)(B)(xi)(II) of the Act, as added by section 3401(a) of the 
Affordable Care Act, defines this productivity adjustment as equal to 
the 10-year moving average of changes in annual economy-wide, private 
nonfarm business multifactor productivity (as projected by the 
Secretary for the 10-year period ending with the applicable fiscal 
year, calendar year, cost reporting period, or other annual period). 
The U.S. Department of Labor's Bureau of Labor Statistics (BLS) 
publishes the official measures of productivity for the U.S. economy. 
The productivity measure referenced in section 1886(b)(3)(B)(xi)(II) of 
the Act is published by BLS as private nonfarm business total factor 
productivity ((TFP) previously referred to as multifactor 
productivity).\107\ Please see https://www.bls.gov/productivity/ for 
the BLS historical published TFP data. A complete description of IGI's 
TFP projection methodology is available on the CMS website at https://www.cms.gov/data-research/statistics-trends-and-reports/medicare-program-rates-statistics/market-basket-research-and-information.
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    \107\ https://www.bls.gov/productivity/notices/2021/mfp-to-tfp-term-change.htm.
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    For FY 2027, we are proposing a productivity adjustment of 0.8 
percent. Similar to the proposed market basket rate-of-increase, for 
this proposed rule, the estimate of the proposed FY 2027 productivity 
adjustment is based on IGI's fourth quarter 2025 forecast. As noted 
previously, we are proposing that if more recent data subsequently 
become available, we would use such data, if appropriate, to determine 
the FY 2027 productivity adjustment for the final rule.
    Based on these data, we have determined four proposed applicable 
percentage increases to the standardized amount for FY 2027, as 
specified in the following table:
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[[Page 19497]]


    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42344), we revised 
our regulations at 42 CFR 412.64(d) to reflect the current law for the 
update for FY 2020 and subsequent fiscal years. Specifically, in 
accordance with section 1886(b)(3)(B) of the Act, we added paragraph 
(d)(1)(viii) to Sec.  412.64 to set forth the applicable percentage 
increase to the operating standardized amount for FY 2020 and 
subsequent fiscal years as the percentage increase in the market basket 
index, subject to the reductions specified under Sec.  412.64(d)(2) for 
a hospital that does not submit quality data and Sec.  412.64(d)(3) for 
a hospital that is not a meaningful EHR user, reduced by a productivity 
adjustment.
    Section 1886(b)(3)(B)(iv) of the Act provides that the applicable 
percentage increase to the hospital-specific rates for SCHs and MDHs 
equals the applicable percentage increase set forth in section 
1886(b)(3)(B)(i) of the Act (that is, the same update factor as for all 
other hospitals subject to the IPPS). Therefore, the update to the 
hospital-specific rates for SCHs and MDHs is also subject to section 
1886(b)(3)(B)(i) of the Act, as amended by sections 3401(a) and 
10319(a) of the Affordable Care Act.
    As discussed in section V.F. of the preamble of this proposed rule, 
section 6202 of the Consolidated Appropriations Act, 2026 (Pub. L. 119-
75) extended the MDH program for FY 2027 discharges occurring before 
January 1, 2027. Therefore, under current law, the MDH program will 
expire for discharges on or after January 1, 2027. We refer readers to 
section V.F. of the preamble of this proposed rule for further 
discussion of the MDH program.
    For FY 2027, we are proposing the following updates to the 
hospital-specific rates applicable to SCHs and MDHs: A proposed update 
of 2.4 percent for a hospital that submits quality data and is a 
meaningful EHR user (as defined in section 1886(n) of the Act); a 
proposed update of 0.0 percent for a hospital that submits quality data 
and is not a meaningful EHR user; a proposed update of 1.6 percent for 
a hospital that fails to submit quality data and is a meaningful EHR 
user; and a proposed update of -0.8 percent for a hospital that fails 
to submit quality data and is not an meaningful EHR user. As previously 
discussed, we are proposing that if more recent data subsequently 
become available (for example, a more recent estimate of the market 
basket update and the productivity adjustment), we would use such data, 
if appropriate, to determine the market basket update and the 
productivity adjustment in the final rule.
2. Proposed FY 2027 Puerto Rico Hospital Update
    Section 602 of Public Law 114-113 amended section 1886(n)(6)(B) of 
the Act to specify that subsection (d) Puerto Rico hospitals are 
eligible for incentive payments for the meaningful use of certified EHR 
technology, effective beginning FY 2016. In addition, section 
1886(n)(6)(B) of the Act was amended to specify that the adjustments to 
the applicable percentage increase under section 1886(b)(3)(B)(ix) of 
the Act apply to subsection (d) Puerto Rico hospitals that are not 
meaningful EHR users, effective beginning FY 2022. Accordingly, for FY 
2022, section 1886(b)(3)(B)(ix) of the Act in conjunction with section 
602(d) of Public Law 114-113 requires that any subsection (d) Puerto 
Rico hospital that is not a meaningful EHR user as defined in section 
1886(n)(3) of the Act and not subject to an exception under section 
1886(b)(3)(B)(ix) of the Act will have ``three-quarters'' of the 
applicable percentage increase (prior to the application of other 
statutory adjustments), or three-quarters of the applicable market 
basket rate-of-increase, reduced by 33\1/3\ percent. The reduction to 
three-quarters of the applicable percentage increase for subsection (d) 
Puerto Rico hospitals that are not meaningful EHR users increases to 
66\2/3\ percent for FY 2023, and, for FY 2024 and subsequent fiscal 
years, to 100 percent. (We note that section 1886(b)(3)(B)(viii) of the 
Act, which specifies the adjustment to the applicable percentage 
increase for ``subsection (d)'' hospitals that do not submit quality 
data under the rules established by the Secretary, is not applicable to 
hospitals located in Puerto Rico.) The regulations at 42 CFR 
412.64(d)(3)(ii) reflect the current law for the update for subsection 
(d) Puerto Rico hospitals for FY 2022 and subsequent fiscal years. In 
the FY 2019 IPPS/LTCH PPS final rule, we finalized the payment 
reductions (83 FR 41674).
    For FY 2027, consistent with section 1886(b)(3)(B) of the Act, as 
amended by section 602 of Public Law 114-113, we are setting the 
applicable percentage increase for Puerto Rico hospitals by applying 
the following adjustments in the following sequence. Specifically, the 
applicable percentage increase under the IPPS for Puerto Rico hospitals 
will be equal to the rate of-increase in the hospital market basket for 
IPPS hospitals in all areas, subject to a reduction of three-quarters 
of the applicable percentage increase (prior to the application of 
other statutory adjustments; also referred to as the market basket 
update or rate-of-increase (with no adjustments)) for Puerto Rico 
hospitals not considered to be meaningful EHR users in accordance with 
section 1886(b)(3)(B)(ix) of the Act, and then subject to the 
productivity adjustment at section 1886(b)(3)(B)(xi) of the Act. As 
noted previously, section 1886(b)(3)(B)(xi) of the Act states that 
application of the productivity adjustment may result in the applicable 
percentage increase being less than zero.
    Based on IGI's fourth quarter 2025 forecast of the 2023-based IPPS 
market basket update with historical data through third quarter 2025, 
for this FY 2027 IPPS/LTCH PPS proposed rule, in accordance with 
section 1886(b)(3)(B) of the Act, as discussed previously, for Puerto 
Rico hospitals we are proposing a market basket update of 3.2 percent 
reduced by a productivity adjustment of 0.8 percentage point. 
Therefore, for FY 2027, depending on whether a Puerto Rico hospital is 
a meaningful EHR user, there are two possible applicable percentage 
increases that could be applied to the standardized amount. Based on 
these data, we determined the following proposed applicable percentage 
increases to the standardized amount for FY 2027 for Puerto Rico 
hospitals:
     For a Puerto Rico hospital that is a meaningful EHR user, 
we are proposing a FY 2027 applicable percentage increase to the 
operating standardized amount of 2.4 percent (that is, the FY 2027 
estimate of the proposed market basket rate-of-increase of 3.2 percent, 
less 0.8 percentage point for the proposed productivity adjustment).
     For a Puerto Rico hospital that is not a meaningful EHR 
user, we are proposing a FY 2027 applicable percentage increase to the 
operating standardized amount of 0.0 percent (that is, the FY 2027 
estimate of the proposed market basket rate-of-increase of 3.2 percent, 
less 2.4 percentage points (the proposed market basket rate-of-increase 
of 3.2 percent x 0.75 for failure to be a meaningful EHR user), and 
less 0.8 percentage point for the proposed productivity adjustment).
    As noted previously, we are proposing that if more recent data 
subsequently become available, we would use such data, if appropriate, 
to determine the FY 2027 market basket update and the productivity 
adjustment for the FY 2027 IPPS/LTCH PPS final rule.

[[Page 19498]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.125

C. Rural Referral Centers (RRCs) Annual Updates to Case-Mix Index (CMI) 
and Discharge Criteria (Sec.  412.96)

    Under the authority of section 1886(d)(5)(C)(i) of the Act, the 
regulations at 42 CFR 412.96 set forth the criteria that a hospital 
must meet to qualify under the IPPS as a rural referral center (RRC). 
RRCs receive special treatment under both the DSH payment adjustment 
and the criteria for geographic reclassification.
    Section 402 of the Medicare Prescription Drug, Improvement, and 
Modernization Act of 2003 (Pub. L. 108-173) raised the DSH payment 
adjustment for RRCs such that they are not subject to the 12-percent 
cap on DSH payments that is applicable to other rural hospitals. RRCs 
also are not subject to the proximity criteria when applying for 
geographic reclassification. In addition, they do not have to meet the 
requirement that a hospital's average hourly wage must exceed, by a 
certain percentage, the average hourly wage of the labor market area in 
which the hospital is located.
    Section 4202(b) of the Balanced Budget Act of 1997 (Pub. L. 105-33) 
states, in part, that any hospital classified as an RRC by the 
Secretary for FY 1991 shall be classified as such an RRC for FY 1998 
and each subsequent fiscal year. In the August 29, 1997, IPPS final 
rule with comment period (62 FR 45999 through 46000), we reinstated RRC 
status for all hospitals that lost that status due to triennial review 
or MGCRB reclassification. However, we did not reinstate the status of 
hospitals that lost RRC status because they were now urban for all 
purposes because of the designation of their geographic area as urban. 
Subsequently, in the August 1, 2000, IPPS final rule (65 FR 47087), we 
indicated that we were revisiting that decision. Specifically, we 
stated that we would permit hospitals that previously qualified as an 
RRC and lost their status due to redesignation of the county in which 
they are located from rural to urban, to be reinstated as an RRC. 
Otherwise, a hospital seeking RRC status must satisfy all of the other 
applicable criteria. We use the definitions of ``urban'' and ``rural'' 
specified in subpart D of 42 CFR part 412. One of the criteria under 
which a hospital may qualify as an RRC is to have 275 or more beds 
available for use (42 CFR 412.96(b)(1)(ii)). A rural hospital that does 
not meet the bed size requirement can qualify as an RRC if the hospital 
meets two mandatory prerequisites (a minimum case-mix index (CMI) and a 
minimum number of discharges), and at least one of three optional 
criteria (relating to specialty composition of medical staff, source of 
inpatients, or referral volume). (We refer readers to 42 CFR 
412.96(c)(1) through (5) and the September 30, 1988, Federal Register 
(53 FR 38513) for additional discussion.) With respect to the two 
mandatory prerequisites, a hospital may be classified as an RRC if the 
hospital's--
     CMI is at least equal to the lower of the median CMI for 
urban hospitals in its census region, excluding hospitals with approved 
teaching programs, or the median CMI for all urban hospitals 
nationally; and
     Number of discharges is at least 5,000 per year, or, if 
fewer, the median number of discharges for urban hospitals in the 
census region in which the hospital is located. The number of 
discharges criterion for an osteopathic hospital is at least 3,000 
discharges per year, as specified in section 1886(d)(5)(C)(i) of the 
Act.
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45217), in light of 
the COVID-19 PHE, we amended the regulations at 42 CFR 412.96(h)(1) to 
provide for the use of the best available data rather than the latest 
available data in calculating the national and regional CMI criteria. 
We also amended the regulations at 42 CFR 412.96(c)(1) to indicate that 
the individual hospital's CMI value for discharges during the same 
Federal fiscal year used to compute the national and regional CMI 
values is used for purposes of determining whether a hospital qualifies 
for RRC classification. We also amended the regulations 42 CFR 
412.96(i)(1) and (2), which describe the methodology for calculating 
the number of discharges criteria, to provide for the use of the best 
available data rather than the latest available or most recent data 
when calculating the regional discharges for RRC classification.
1. Case-Mix Index (CMI)
    Section 412.96(c)(1) provides that CMS establish updated national 
and regional CMI values in each year's annual notice of prospective 
payment rates for purposes of determining RRC status. The methodology 
we used to determine the national and regional CMI values is set forth 
in the regulations at 42 CFR 412.96(c)(1)(ii). The proposed national 
median CMI value for FY 2027 is based on the CMI values of all urban 
hospitals nationwide, and the proposed regional median CMI values for 
FY 2027 are based on the CMI values of all urban hospitals within each 
census region, excluding those hospitals with approved teaching 
programs (that is, those hospitals that train residents in an approved 
GME program as provided in 42 CFR 413.75). These proposed values are 
based on discharges occurring during FY 2025 (October 1, 2024, through 
September 30, 2025), and include bills posted to CMS' records through 
December 2025. We believe that this is the best available data for use 
in calculating the proposed national and regional median CMI values and 
is consistent with our proposal to use the FY 2025 MedPAR claims data 
for FY 2027 ratesetting.
    In this FY 2027 IPPS/LTCH PPS proposed rule, we are proposing that, 
in addition to meeting other criteria, if rural hospitals with fewer 
than 275 beds are to qualify for initial RRC status for cost reporting 
periods beginning on or after October 1, 2026, they must have a CMI 
value for FY 2025 that is at least--
     1.7783 (national--all urban); or
     The median CMI value (not transfer-adjusted) for urban 
hospitals (excluding hospitals with approved teaching programs as 
identified in 42 CFR 413.75) calculated by CMS for the census region in 
which the hospital is located.
    The proposed median CMI values by region are set forth in the 
following table. We intend to update the proposed CMI values in the FY 
2027 IPPS/LTCH PPS final rule to reflect the updated FY 2025 MedPAR 
file, which contains data from additional bills received through March 
2026.

[[Page 19499]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.126

    A hospital seeking to qualify as an RRC should obtain its hospital-
specific CMI value (not transfer-adjusted) from its MAC. Data are 
available on the Provider Statistical and Reimbursement (PS&R) System. 
In keeping with our policy on discharges, the CMI values are computed 
based on all Medicare patient discharges subject to the IPPS MS-DRG-
based payment.
2. Discharges
    Section 412.96(c)(2)(i) provides that CMS set forth the national 
and regional numbers of discharges criteria in each year's annual 
notice of prospective payment rates for purposes of determining RRC 
status. As specified in section 1886(d)(5)(C)(ii) of the Act, the 
national standard is set at 5,000 discharges. For FY 2027, we are 
proposing to update the regional standards based on discharges for 
urban hospitals' cost reporting periods that began during FY 2024 (that 
is, October 1, 2023, through September 30, 2024), which are the latest 
cost report data available at the time this proposed rule was 
developed. We believe that this is the best available data for use in 
calculating the proposed median number of discharges by region and is 
consistent with our data proposal to use cost report data from cost 
reporting periods beginning during FY 2024 for FY 2027 ratesetting. 
Therefore, we are proposing that, in addition to meeting other 
criteria, a hospital, if it is to qualify for initial RRC status for 
cost reporting periods beginning on or after October 1, 2026, must 
have, as the number of discharges for its cost reporting period that 
began during FY 2024, at least--
     5,000 (3,000 for an osteopathic hospital); or
     If less, the median number of discharges for urban 
hospitals in the census region in which the hospital is located. We 
refer readers to the proposed number of discharges as set forth in the 
following table. We intend to update these numbers in the FY 2027 final 
rule based on the latest available cost report data.
[GRAPHIC] [TIFF OMITTED] TP14AP26.127

    We note that because the median number of discharges for hospitals 
in each census region is greater than the national standard of 5,000 
discharges, under this proposed rule, 5,000 discharges is the minimum 
criterion for all hospitals, except for osteopathic hospitals for which 
the minimum criterion is 3,000 discharges.

D. Proposed Payment Adjustment for Low-Volume Hospitals (Sec.  412.101)

1. Background
    Section 1886(d)(12) of the Act provides for an additional payment 
to each qualifying low-volume hospital under the IPPS beginning in FY 
2005. The low-volume hospital payment adjustment is implemented in the 
regulations at 42 CFR 412.101. The additional payment adjustment to a 
low-volume hospital provided for under section 1886(d)(12) of the Act 
is in addition to any payment calculated under section 1886 of the Act 
and is based on the per discharge amount paid to the qualifying 
hospital. In other words, the low-volume hospital payment adjustment is 
based on total per discharge payments made under section 1886 of the 
Act, including capital, DSH, IME, and outlier payments. For SCHs and 
MDHs, the low-volume hospital payment adjustment is based in part on 
either the Federal rate or the hospital-specific rate, whichever 
results in a greater operating IPPS payment. The payment adjustment for 
low-volume hospitals is not budget neutral.
    As discussed in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36908 
through 36912), section 2201 of the Full-Year Continuing Appropriations 
and Extensions Act, 2025 (Pub. L. 119-4) extended the temporary changes 
to the low-volume hospital qualifying criteria and payment adjustment 
under the IPPS, that is, the modified definition of low-volume hospital 
and the methodology for calculating the payment adjustment for low-
volume hospitals under section 1886(d)(12), through September 30, 2025. 
The Continuing Appropriations, Agriculture, Legislative Branch, 
Military Construction and Veterans Affairs, and Extensions Act, 2026 
(Pub. L. 119-37), enacted on November 12, 2025, provided an extension 
of those temporary changes to the qualifying criteria and payment 
adjustment methodology for certain low-volume

[[Page 19500]]

hospitals through January 30, 2026. Most recently, the Consolidated 
Appropriations Act, 2026 (Pub. L. 119-75), provided an extension of 
those temporary changes to the qualifying criteria and payment 
adjustment methodology for certain low-volume hospitals through FY 2026 
and the portion of fiscal year 2027 beginning on October 1, 2026, and 
ending on December 31, 2026. Absent further Congressional action, 
beginning January 1, 2027 the low-volume hospital qualifying criteria 
and payment adjustment revert to the statutory requirements that were 
in effect prior to FY 2011, and the preexisting low-volume hospital 
payment adjustment methodology and qualifying criteria, as implemented 
in FY 2005 and discussed later in this section, resume. We discuss the 
payment policies for FY 2027 in sections V.D.2 and V.D.3. of the 
preamble of this proposed rule.
[GRAPHIC] [TIFF OMITTED] TP14AP26.128

2. Extension of Temporary Changes to Low-Volume Hospital Payment 
Definition and Payment Adjustment Methodology and Conforming Changes to 
Regulations
    As discussed previously, section 2201 of the Full-Year Continuing 
Appropriations and Extensions Act, 2025, extended the temporary changes 
to the low-volume hospital qualifying criteria and payment adjustment 
through September 30, 2025. Section 6201 of the Continuing 
Appropriations, Agriculture, Legislative Branch, Military Construction 
and Veterans Affairs, and Extensions Act, 2026 further extended the 
temporary changes to the low-volume hospital qualifying criteria and 
payment adjustment under the IPPS for the portion of FY 2026 beginning 
on October 1, 2025, and ending on January 30, 2026. Most recently, 
section 6201 of the Consolidated Appropriations Act, 2026 extended the 
temporary changes to the low-volume hospital qualifying criteria and 
payment adjustment through FY 2026 and the portion of fiscal year 2027 
beginning on October 1, 2026, and ending on December 31, 2026. We note 
the extension provided by the Continuing Appropriations, Agriculture, 
Legislative Branch, Military Construction and Veterans Affairs, and 
Extensions Act, 2026 was addressed in Change Request 14341 (Transmittal 
13564) and the extension provided by the Consolidated Appropriations 
Act, 2026 was addressed in Change Request 14415 (Transmittal 13703), 
issued March 26, 2026. For additional information, please refer to the 
transmittal R13564OTN and R13703OTN.
    Under section 1886(d)(12)(C)(i) of the Act, as amended by the 
Consolidated Appropriations Act, 2026, for FYs 2019 through FY 2026 and 
the portion of FY 2027 beginning on October 1, 2026 and ending on 
December 31, 2026, a subsection (d) hospital qualifies as a low-volume 
hospital if it is more than 15 road miles from another subsection (d) 
hospital and has less than 3,800 total discharges during the fiscal 
year. In accordance with the existing regulations at Sec.  412.101(a), 
we define the term ``road miles'' to mean ``miles'' as defined at Sec.  
412.92(c)(1). Under section 1886(d)(12)(D) of the Act, as amended, for 
discharges occurring in FYs 2019 through 2026 and the portion of FY 
2027 beginning on October 1, 2026 and ending on December 31, 2026, the 
Secretary determines the applicable percentage increase using a 
continuous, linear sliding scale ranging from an additional 25 percent 
payment adjustment for low-volume hospitals with 500 or fewer 
discharges to a zero percent additional payment for low volume 
hospitals with more than 3,800 discharges in the fiscal year. 
Consistent with the requirements of section 1886(d)(12)(C)(ii) of the 
Act, the term ``discharge'' for purposes of these provisions refers to 
total discharges, regardless of payer (that is, Medicare and non-
Medicare discharges).
    In the FY 2019 IPPS/LTCH PPS final rule (83 FR 41399), we specified 
a continuous, linear sliding scale formula to determine the low volume 
payment adjustment, as reflected in the regulations at Sec.  
412.101(c)(3)(ii). Consistent with the statute, we provided that 
qualifying hospitals with 500 or fewer total discharges will receive a 
low-volume hospital payment adjustment of 25 percent. For qualifying 
hospitals with fewer than 3,800 discharges but more than 500 
discharges, the low-volume payment adjustment is calculated by 
subtracting from 25 percent the proportion of payments associated with 
the discharges in excess of 500. For qualifying hospitals with fewer 
than 3,800 total discharges but more than 500 total discharges, the 
low-volume hospital payment adjustment is calculated using the formula 
at Sec.  412.101(c)(3)(ii) (which is shown in the Table V.D.-01). For 
this purpose, the term ``discharge'' refers to total discharges, 
regardless of payer (that is, Medicare and non-Medicare discharges). 
The hospital's most recently submitted cost report is used to determine 
if the hospital meets the discharge criterion to receive the low volume 
payment adjustment in the current year (Sec.  412.101(b)(2)(iii)). The 
low-volume hospital payment adjustment for FYs 2019 through 2025 is set 
forth in the current regulations at Sec.  412.101(c)(3).
    In this proposed rule, we propose to make conforming changes to the 
regulation text in Sec.  412.101 to reflect the extension of the 
changes to the qualifying criteria and the payment adjustment 
methodology for low-volume hospitals in accordance with provisions of 
the Consolidated Appropriations Act, 2026. Specifically, we propose to 
make conforming changes to paragraphs (b)(2)(iii) and (c)(3) 
introductory text of Sec.  412.101 to reflect that the low-volume 
hospital payment adjustment policy in effect through FY 2026 and the 
portion of fiscal year 2027 beginning on October 1, 2026, and ending on 
December 31, 2026 is the same low-volume hospital payment adjustment 
policy in effect for FYs 2019 through 2025 (as described in the FY 2019 
IPPS/LTCH PPS final rule (83 FR 41398 through 41399) and in the FY 2026 
IPPS/LTCH PPS final rule (90 FR

[[Page 19501]]

36908 through 36912)). In addition, in accordance with the provisions 
of the Consolidated Appropriations Act, 2026, we are proposing to make 
conforming changes to paragraphs (b)(2)(i) and (c)(1) of Sec.  412.101 
to reflect that beginning with the portion of fiscal year 2027 
beginning on January 1, 2027, and ending on September 30, 2027, and for 
fiscal year 2028 and subsequent fiscal years, the low-volume hospital 
payment adjustment policy reverts back to the low-volume hospital 
payment adjustment policy in effect for FYs 2005 through 2010, as 
described in section V.D.3. of the preamble of this proposed rule. We 
further propose that if the temporary changes to the low-volume payment 
adjustment are extended through legislation beyond December 31, 2026, 
we would make the conforming changes to the regulations at Sec.  
412.101(b)(2)(i) and (iii) and (c)(1) and (3) to reflect any further 
extension.
3. Payment Adjustment for the Portion of FY 2027 Beginning on January 
1, 2027 and Subsequent Fiscal Years
    In accordance with section 1886(d)(12) of the Act, as amended by 
the Consolidated Appropriations Act, 2026, beginning with FY 2027 
discharges occurring on or after January 1, 2027 the low-volume 
hospital definition and payment adjustment methodology revert to the 
statutory requirements that were in effect prior to the amendments made 
by the Affordable Care Act and subsequent legislation. Specifically, 
section 1886(d)(12)(B) of the Act requires, for discharges occurring in 
FYs 2005 through 2010 and for discharges occurring during the portion 
of FY 2027 beginning on or after January 1, 2027, and subsequent fiscal 
years, that the Secretary determine an applicable percentage increase 
for these low-volume hospitals based on the ``empirical relationship'' 
between the standardized cost-per-case for such hospitals and the total 
number of discharges of such hospitals and the amount of the additional 
incremental costs (if any) that are associated with such number of 
discharges. The statute thus mandates that the Secretary develop an 
empirically justifiable adjustment based on the relationship between 
costs and discharges for these low-volume hospitals.
    Therefore, absent further Congressional action, effective for the 
portion of FY 2027 beginning on January 1, 2027, and ending on 
September 30, 2027, and for FY 2028 and subsequent fiscal years, under 
current policy at Sec.  412.101(b), to qualify as a low-volume 
hospital, a subsection (d) hospital must be more than 25 road miles 
from another subsection (d) hospital and have less than 200 discharges 
(that is, less than 200 discharges total, including both Medicare and 
non-Medicare discharges) during the fiscal year. For the portion of FY 
2027 beginning on January 1, 2027 and for subsequent fiscal years, the 
statute specifies that a low-volume hospital must have less than 800 
discharges during the fiscal year. However, as required by section 
1886(d)(12)(B)(i) of the Act, the Secretary has developed an 
empirically justifiable payment adjustment based on the relationship, 
for IPPS hospitals with less than 800 discharges, between the 
additional incremental costs (if any) that are associated with a 
particular number of discharges. Based on an analysis we conducted for 
the FY 2005 IPPS final rule (69 FR 49099 through 49102), a 25 percent 
low-volume adjustment to all qualifying hospitals with less than 200 
discharges was found to be most consistent with the statutory 
requirement to provide relief for low-volume hospitals where there is 
empirical evidence that higher incremental costs are associated with 
low numbers of total discharges. (Under the policy we established in 
that same final rule, hospitals with between 200 and 799 discharges do 
not receive a low-volume hospital adjustment.)
    As discussed previously, for FYs 2005 through 2010 and FY 2019 and 
subsequent years, the discharge determination is made based on the 
hospital's number of total discharges, that is, Medicare and non-
Medicare discharges. The hospital's most recently submitted cost report 
is used to determine if the hospital meets the discharge criterion to 
receive the low-volume payment adjustment in the current year (Sec.  
412.101(b)(2)(i)). We use cost report data to determine if a hospital 
meets the discharge criterion because this is the best available data 
source that includes information on both Medicare and non-Medicare 
discharges. We note that, for FYs 2011 through 2018, we used the most 
recently available MedPAR data to determine the hospital's Medicare 
discharges because only Medicare discharges were used to determine if a 
hospital met the discharge criterion for those years.
    In addition to the discharge criterion, a hospital must also meet 
the mileage criterion to qualify for the low-volume payment adjustment. 
As specified by section 1886(d)(12)(C)(i) of the Act, a low-volume 
hospital must be more than 25 road miles (or 15 road miles for FYs 2011 
through the portion of FY 2027 ending on December 31, 2026) from 
another subsection (d) hospital. Accordingly, for the portion of FY 
2027 beginning on January 1, 2027, and for subsequent fiscal years, in 
addition to the discharge criterion, the eligibility for the low-volume 
payment adjustment is also dependent upon the hospital meeting the 
mileage criterion at Sec.  412.101(b)(2)(i), which specifies that a 
hospital must be located more than 25 road miles from the nearest 
subsection (d) hospital, consistent with section 1886(d)(12)(C)(i) of 
the Act. We define, at Sec.  412.101(a), the term ``road miles'' to 
mean ``miles'' as defined at Sec.  412.92(c)(1) (75 FR 50238 through 
50275 and 50414). As previously noted, we propose to make conforming 
changes to paragraphs (b)(2)(i) and (c)(1) of Sec.  412.101 to reflect 
that for the portion of FY 2027 beginning on January 1, 2027, and for 
subsequent fiscal years, the low-volume hospital payment adjustment 
policy is the same as that in effect for FYs 2005 through 2010.
4. Process for Requesting and Obtaining the Low-Volume Hospital Payment 
Adjustment for FY 2027
    In the FY 2011 IPPS/LTCH PPS final rule (75 FR 50238 through 50275 
and 50414) and subsequent rulemaking, most recently in the FY 2026 
IPPS/LTCH PPS final rule (90 FR 36908 through 36912), we discussed the 
process for requesting and obtaining the low-volume hospital payment 
adjustment. Under this previously established process, a hospital makes 
a written request for the low-volume payment adjustment under Sec.  
412.101 to its MAC. This request must contain sufficient documentation 
to establish that the hospital meets the applicable mileage and 
discharge criteria. The MAC will determine if the hospital qualifies as 
a low-volume hospital by reviewing the data the hospital submits with 
its request for low-volume hospital status in addition to other 
available data. Under this approach, a hospital will know in advance 
whether or not it will receive a payment adjustment under the low-
volume hospital policy. The MAC and CMS may review available data such 
as the number of discharges, in addition to the data the hospital 
submits with its request for low-volume hospital status, to determine 
whether or not the hospital meets the qualifying criteria. (For 
additional information on our existing process for requesting the low-
volume hospital payment adjustment, we refer readers to the FY 2019 
IPPS/LTCH PPS final rule (83 FR 41399 through 41401).)

[[Page 19502]]

    As explained earlier, for FY 2019 and subsequent fiscal years, the 
discharge determination is made based on the hospital's number of total 
discharges, that is, Medicare and non-Medicare discharges, as was the 
case for FYs 2005 through 2010. Under Sec.  412.101(b)(2)(i) and (iii), 
a hospital's most recently submitted cost report is used to determine 
if the hospital meets the discharge criterion to receive the low-volume 
payment adjustment in the current year. As discussed in the FY 2019 
IPPS/LTCH PPS final rule (83 FR 41399 and 41400), we use cost report 
data to determine if a hospital meets the discharge criterion because 
this is the best available data source that includes information on 
both Medicare and non-Medicare discharges. (For FYs 2011 through 2018, 
the most recently available MedPAR data were used to determine the 
hospital's Medicare discharges because non-Medicare discharges were not 
used to determine if a hospital met the discharge criterion for those 
years.) Therefore, a hospital must refer to its most recently submitted 
cost report for total discharges (Medicare and non-Medicare) to decide 
whether or not to apply for low-volume hospital status for a particular 
fiscal year.
    In addition to the discharge criterion, eligibility for the low-
volume hospital payment adjustment is also dependent upon the hospital 
meeting the applicable mileage criterion specified in section 
1886(d)(12)(C)(i) of the Act, which is codified at Sec.  412.101(b)(2), 
for the fiscal year. To meet the mileage criterion to qualify for the 
low-volume hospital payment adjustment for the portion of FY 2027 
beginning October 1, 2026 through December 31, 2026, a hospital must be 
located more than 15 road miles from the nearest subsection (d) 
hospital, as reflected in proposed revised Sec.  412.101(b)(2). 
Additionally, to meet the mileage criterion to qualify for the low-
volume hospital payment adjustment for the portion of FY 2027 beginning 
January 1, 2027 through September 30, 2027, a hospital must be located 
more than 25 road miles from the nearest subsection (d) hospital. (We 
define in Sec.  412.101(a) the term ``road miles'' to mean ``miles'' as 
defined in Sec.  412.92(c)(1) (75 FR 50238 through 50275 and 50414).) 
For establishing that the hospital meets the mileage criterion, the use 
of a web-based mapping tool as part of the documentation is acceptable. 
The MAC will determine if the information submitted by the hospital, 
such as the name and street address of the nearest hospital(s), 
location on a map, and distance from the hospital requesting low-volume 
hospital status, is sufficient to document that it meets the mileage 
criterion. If not, the MAC will follow up with the hospital to obtain 
additional necessary information to determine whether or not the 
hospital meets the applicable mileage criterion.
    In accordance with our previously established process, a hospital 
must make a written request for low-volume hospital status that is 
received by its MAC by September 1 immediately preceding the start of 
the Federal fiscal year for which the hospital is applying for low-
volume hospital status in order for the applicable low-volume hospital 
payment adjustment to be applied to payments for its discharges for the 
fiscal year beginning on or after October 1 immediately following the 
request (that is, the start of the Federal fiscal year). For a hospital 
whose request for low-volume hospital status is received after 
September 1, if the MAC determines the hospital meets the criteria to 
qualify as a low-volume hospital, the MAC will apply the applicable 
low-volume hospital payment adjustment to determine payment for the 
hospital's discharges for the fiscal year, effective prospectively 
within 30 days of the date of the MAC's low-volume status 
determination.
    Consistent with this previously established process, for FY 2027, 
we propose that a hospital must submit a written request for low-volume 
hospital status to its MAC that includes sufficient documentation to 
establish that the hospital meets the applicable mileage and discharge 
criteria (as described earlier). Specifically, for the portion of FY 
2027 beginning October 1, 2026 through December 31, 2026, a hospital 
must make a written request for low-volume hospital status that is 
received by its MAC no later than September 1, 2026, in order for the 
low-volume, add-on payment adjustment to be applied to payments for its 
discharges beginning on or after October 1, 2026. If a hospital's 
written request for low-volume hospital status for the portion of FY 
2027 beginning October 1, 2026 through December 31, 2026 is received 
after September 1, 2026, and if the MAC determines the hospital meets 
the criteria to qualify as a low-volume hospital, the MAC would apply 
the low-volume hospital payment adjustment to determine the payment for 
the hospital's FY 2027 discharges beginning October 1, 2026 through 
December 31, 2026, effective prospectively within 30 days of the date 
of the MAC's low-volume hospital status determination.
    Additionally, we are proposing that a hospital must also submit a 
written request for low-volume hospital status to its MAC that includes 
sufficient documentation to establish that the hospital continues to 
meet the applicable mileage and discharge criteria for the portion of 
FY 2027 beginning on January 1, 2027 through September 30, 2027 (as 
described earlier). Specifically, for the portion of FY 2027 beginning 
on January 1, 2027, a hospital must make a written request for low-
volume hospital status that is received by its MAC no later than 
December 1, 2026, in order for the 25-percent, low-volume, add-on 
payment adjustment to be applied to payments for its discharges 
beginning on or after January 1, 2027. If a hospital's written request 
for low-volume hospital status for the portion of FY 2027 beginning on 
January 1, 2027 is received after December 1, 2026, and if the MAC 
determines the hospital meets the criteria to qualify as a low-volume 
hospital, the MAC would apply the low-volume hospital payment 
adjustment to determine the payment for the hospital's FY 2027 
discharges on or after January 1, 2027, effective prospectively within 
30 days of the date of the MAC's low-volume hospital status 
determination.
    A hospital may choose to make a single written request for low-
volume hospital status to its MAC for both the portion of FY 2027 
beginning on October 1, 2026 and ending December 31, 2026 and the 
portion of FY 2027 beginning on January 1, 2027 through September 30, 
2027 by the September 1, 2026 deadline discussed previously. 
Alternatively, a hospital may choose to submit separate written 
requests, one for the portion of FY 2027 beginning on October 1, 2026 
and ending on December 31, 2026 (by the September 1, 2026 deadline 
discussed previously), and another for the portion of FY 2027 beginning 
on January 1, 2027 through September 30, 2027 (by the December 1, 2026 
deadline discussed previously).
    Under this process, a hospital that qualified for the low-volume 
hospital payment adjustment for FY 2026 may continue to receive a low-
volume hospital payment adjustment for FY 2027 without reapplying if it 
meets both the discharge criterion and the mileage criterion applicable 
for FY 2027 (that is, the discharge criterion and mileage criterion for 
the period beginning October 1, 2026 through December 31, 2026, as well 
as the discharge criterion and mileage criterion for the period 
beginning on January 1, 2027 through September 30, 2027, respectively). 
As discussed previously, for the portion of FY 2027 beginning on 
January 1, 2027, the discharge and the mileage criteria are reverting 
to the statutory requirements that were in effect prior to

[[Page 19503]]

FY 2011, and to the preexisting low-volume hospital qualifying 
criteria, as implemented in FY 2005 and specified in the existing 
regulations at Sec.  412.101(b)(2)(i). As in previous years, we are 
proposing that such a hospital must send written verification that is 
received by its MAC no later than September 1, 2026 or December 1, 
2026, respectively, stating that it meets the mileage criterion for the 
applicable portion(s) of FY 2027, as described previously. For example, 
for the portion of FY 2027 beginning October 1, 2026 through December 
31, 2026, the hospital must state it is located more than 15 road miles 
from the nearest ``subsection (d)'' hospital. Similarly, for the 
portion of FY 2027 beginning on January 1, 2027, the hospital must 
state it is located more than 25 road miles from the nearest 
``subsection (d)'' hospital. For FY 2027, we are further proposing that 
this written verification must also state, based upon the most recently 
submitted cost report, that the hospital meets the discharge criterion 
for the applicable portion(s) of FY 2027, as described previously. For 
example, for the portion of FY 2027 beginning October 1, 2026 through 
December 31, 2026, the hospital must have less than 3,800 discharges 
total, including both Medicare and non-Medicare discharges. Similarly, 
for the portion of FY 2027 beginning on January 1, 2027, the hospital 
must have less than 200 discharges total, including both Medicare and 
non-Medicare discharges. If a hospital's request for low-volume 
hospital status for FY 2027 is received after September 1, 2026, (or 
after December 1, 2026 for the portion of FY 2027 beginning on January 
1, 2027) and if the MAC determines the hospital meets the criteria to 
qualify as a low-volume hospital, the MAC will apply the applicable 
low-volume add-on payment adjustment to determine the payment for the 
hospital's discharges for the applicable portion of FY 2027, effective 
prospectively within 30 days of the date of the MAC's low-volume 
hospital status determination.

E. Proposed Changes in the Medicare-Dependent, Small Rural Hospital 
(MDH) Program (Sec.  412.108)

1. Background for the MDH Program
    Section 1886(d)(5)(G) of the Act provides special non-budget 
neutral payment protections, under the IPPS, to a Medicare-dependent, 
small rural hospital (MDH). MDHs are paid for their hospital inpatient 
services based on the higher of the Federal rate or a blended rate 
based in part on the Federal rate and in part on the MDH's hospital 
specific rate. (For additional information on the MDH program and the 
payment methodology, we refer readers to the FY 2012 IPPS/LTCH PPS 
final rule (76 FR 51683 through 51684).) Under current law, the MDH 
program provisions at section 1886(d)(5)(G) of the Act will expire for 
discharges on or after January 1, 2027. Beginning with discharges 
occurring on or after January 1, 2027, absent further Congressional 
action, all hospitals that previously qualified for MDH status will be 
paid based on the Federal rate.
2. Implementation of Legislative Extension of MDH Program
    Since the extension of the MDH program through FY 2012 provided by 
section 3124 of the Affordable Care Act, the MDH program has been 
extended by subsequent legislation, most recently through December 31, 
2026 (that is, for discharges occurring before January 1, 2027), as 
discussed further in this section. (Additional information on the 
extensions of the MDH program through FY 2025 can be found in the FY 
2026 IPPS/LTCH PPS final rule (90 FR 36912).) As discussed in the FY 
2026 IPPS/LTCH PPS final rule, the MDH program provision at section 
1886(d)(5)(G) of the Act was set to expire at the end of FY 2025 (90 FR 
36913). Subsequently, the MDH program was extended by additional 
legislation as follows:
     Section 6202 of the Continuing Appropriations, 
Agriculture, Legislative Branch, Military Construction and Veterans 
Affairs, and Extensions Act, 2026 (Pub. L. 119-37), enacted on November 
12, 2025, provided for an extension of the MDH program through January 
30, 2026.
     Section 6202 of the Consolidated Appropriations Act, 2026 
(Pub. L. 119-75), enacted on February 3, 2026, provided for an 
extension of the MDH program through December 31, 2026 (that is, for 
discharges occurring before January 1, 2027).
    Specifically, section 6202 of Public Law 119-75 amended sections 
1886(d)(5)(G)(i) and 1886(d)(5)(G)(ii)(II) of the Act by striking 
``January 31, 2026'' and inserting ``January 1, 2027''. Section 6202 of 
Public Law 119-75 also made conforming amendments to sections 
1886(b)(3)(D)(i) and 1886(b)(3)(D)(iv) of the Act. Therefore, we are 
proposing to make conforming changes to the regulations governing the 
MDH program at Sec.  412.108(a)(1) and (c)(2)(iii) and the general 
payment rules at Sec.  412.90(j) to reflect the extension of the MDH 
program through December 31, 2026.
    Generally, as a result of these extensions, a provider that was 
classified as an MDH as of September 30, 2025 may continue to be 
classified as a MDH as of October 1, 2025, with no need to reapply for 
MDH classification. (For more information on the MDH extensions through 
December 31, 2026, see Change Request 14341 (Transmittal 13564), issued 
December 23, 2025 and Change Request 14415 (Transmittal 13703), issued 
March 27, 2026, which are available online at https://www.cms.gov/medicare/regulations-guidance/transmittals/2025-transmittals/r13564otn 
and https://www.cms.gov/medicare/regulations-guidance/transmittals/2026-transmittals/r13703otn.
3. Expiration of the MDH Program
    Because section 6202 of the Consolidated Appropriations Act, 2026 
extended the MDH program through December 31, 2026 only, beginning 
January 1, 2027, the MDH program will no longer be in effect. Since the 
MDH program is not authorized by statute beyond December 31, 2026, 
absent Congressional action, beginning January 1, 2027, all hospitals 
that previously qualified for MDH status under section 1886(d)(5)(G) of 
the Act will no longer have MDH status and will be paid based on the 
Federal rate.
    When the MDH program was set to expire at the end of FY 2012, in 
the FY 2013 IPPS/LTCH PPS final rule (77 FR 53404 through 53405), we 
revised our sole community hospital (SCH) policies to allow MDHs to 
apply for SCH status in advance of the expiration of the MDH program 
and be paid as such under certain conditions. We codified these changes 
in the regulations at Sec.  412.92(b)(2)(i) and (v). For additional 
information, we refer readers to the FY 2013 IPPS/LTCH PPS final rule 
(77 FR 53404 through 53405 and 53674). We note that a MDH that 
classifies as a SCH in anticipation of the MDH program expiration would 
have to reapply for MDH classification in accordance with the 
regulations at 42 CFR 412.108(b) and meet the classification criteria 
at 42 CFR 412.108(a) in the event that the MDH program is further 
extended, and the provider wishes to return to its classification as a 
MDH.
    As noted, we are proposing to make conforming changes to the 
regulations governing the MDH program at Sec.  412.108(a)(1) and 
(c)(2)(iii) and the general payment rules at Sec.  412.90(j) to reflect 
the extension of the MDH program through December 31, 2026. We are 
further proposing that if the MDH program were to be extended by law 
beyond December 31, 2026, similar

[[Page 19504]]

to how it was extended by prior legislation as described previously, we 
would, depending on timing of such legislation in relation to the final 
rule, modify our proposed conforming changes to the regulations 
governing the MDH program at Sec.  412.108(a)(1) and (c)(2)(iii) and 
the general payment rules at Sec.  412.90(j) to reflect any such 
further extension of the MDH program. These modifications to our 
proposed conforming changes would only be made if the MDH program were 
to be extended by statute beyond December 31, 2026.

F. Payment for Indirect and Direct Graduate Medical Education Costs 
(Sec. Sec.  412.105 and 413.75 Through 413.83)

1. Background
    Section 1886(h) of the Act, as added by section 9202 of the 
Consolidated Omnibus Budget Reconciliation Act (COBRA) of 1985 (Pub. L. 
99-272) and as currently implemented in the regulations at 42 CFR 
413.75 through 413.83, establishes a methodology for determining 
payments to hospitals for the direct costs of approved graduate medical 
education (GME) programs. Section 1886(h)(2) of the Act sets forth a 
methodology for the determination of a hospital-specific base-period 
per resident amount (PRA) that is calculated by dividing a hospital's 
allowable direct costs of GME in a base period by its number of full-
time equivalent (FTE) residents in the base period. The base period is, 
for most hospitals, the hospital's cost reporting period beginning in 
FY 1984 (that is, October 1, 1983, through September 30, 1984). The 
base year PRA is updated annually for inflation.
    In general, Medicare direct GME payments are calculated by 
multiplying the hospital's updated PRA by the weighted number of FTE 
residents working in all areas of the hospital complex (and at non-
provider sites, when applicable), and the hospital's Medicare share of 
total inpatient days. Section 1886(d)(5)(B) of the Act provides for a 
payment adjustment known as the indirect medical education (IME) 
adjustment under the IPPS for hospitals that have residents in an 
approved GME program, in order to account for the higher indirect 
patient care costs of teaching hospitals relative to nonteaching 
hospitals. The regulations regarding the calculation of this additional 
payment are located at 42 CFR 412.105. The hospital's IME adjustment 
applied to the DRG payments is calculated based on the ratio of the 
hospital's number of FTE residents training in either the inpatient or 
outpatient departments of the IPPS hospital (and, for discharges 
occurring on or after October 1, 1997, at non-provider sites, when 
applicable) to the number of inpatient hospital beds.
    The calculation of both direct GME payments and the IME payment 
adjustment is affected by the number of FTE residents that a hospital 
is allowed to count. Generally, the greater the number of FTE residents 
a hospital counts, the greater the amount of Medicare direct GME and 
IME payments the hospital will receive. In an attempt to end the 
implicit incentive for hospitals to increase the number of FTE 
residents, Congress established a limit on the number of allopathic and 
osteopathic residents that a hospital could include in its FTE resident 
count for direct GME and IME payment purposes in the Balanced Budget 
Act of 1997 (Pub. L. 105-33). Under section 1886(h)(4)(F) of the Act, 
for cost reporting periods beginning on or after October 1, 1997, a 
hospital's unweighted FTE count of residents for purposes of direct GME 
cannot exceed the hospital's unweighted FTE count for direct GME in its 
most recent cost reporting period ending on or before December 31, 
1996. Under section 1886(d)(5)(B)(v) of the Act, a similar limit based 
on the FTE count for IME during that cost reporting period is applied, 
effective for discharges occurring on or after October 1, 1997. Dental 
and podiatric residents are not included in this statutorily mandated 
cap.
2. Proposed Requirements To Prohibit Unlawful Discrimination in 
Approved Medical Residency Programs
    Hospitals may receive direct GME and IME payments for residents in 
``approved medical residency training programs.'' Section 1886(h)(5)(A) 
of the Act defines an ``approved medical residency training program'' 
as ``a residency or other postgraduate medical training program 
participation in which may be counted toward certification in a 
specialty or subspecialty and includes formal postgraduate training 
programs in geriatric medicine approved by the Secretary.'' ``Approved 
medical residency program'' and equivalent terms are defined in the 
regulations at Sec. Sec.  412.105(f)(1)(i), 413.75(b), and 415.152. In 
general, under these regulations, an ``approved'' program is a program 
accredited by one of several national accrediting bodies or that leads 
toward board certification by the American Board of Medical Specialties 
(ABMS).
    Therefore, to ensure that accreditation for approved medical 
residency programs is in compliance with applicable laws related to 
race-based admission policies and to improve the accreditation process, 
in the CY 2026 OPPS/ASC final rule (90 FR 54024 through 54027), we 
finalized changes to the regulations at Sec. Sec.  412.105(f)(1)(i), 
413.75(b), and 415.152, to state that accrediting organizations may not 
use accreditation criteria that promote or encourage discrimination on 
the basis of race, color, national origin, sex, age, disability, or 
religion, including the use of those characteristics or intentional 
proxies for those characteristics as a selection criterion for 
employment, program participation, resource allocation, or similar 
activities, opportunities, or benefits. We also clarified that 
prohibited practices under this policy include all other conduct in 
violation of federal antidiscrimination laws, including any ``unlawful 
practices'' under the Attorney General's Guidance for Recipients of 
Federal Funding Regarding Unlawful Discrimination (July 29, 2025).
    The policy finalized in the CY 2026 OPPS/ASC final rule applied 
specifically to graduate medical education accrediting bodies. In this 
proposed rule, we are proposing a similar policy that would apply to 
approved medical residency programs themselves. Specifically, we are 
proposing to require that, in addition to meeting other applicable 
requirements, an approved medical residency training program must not 
discriminate, or promote or encourage discrimination, on the basis of 
race, color, national origin, sex, age, disability, or religion, 
including the use of those characteristics or intentional proxies for 
those characteristics as a selection criterion for employment, program 
participation, resource allocation, or similar activities, 
opportunities, or benefits. We believe such a policy is necessary to 
ensure that, even in the absence of discriminatory accreditation 
standards, individual programs do not implement policies that 
constitute unlawful discrimination under Federal law. The effective 
date of this proposed policy would be October 1, 2026.
    In order to streamline the regulations text and ensure consistent 
application of the requirements to approved medical residency programs 
and GME accrediting organizations, we are also proposing to consolidate 
the majority of our existing and proposed non-discrimination 
requirements under proposed new 42 CFR 413.84. We are proposing to 
cross-reference this new section as necessary in the regulations at 
Sec. Sec.  412.105(f)(1)(i), 413.75(b), and 415.152. We further note 
that we are

[[Page 19505]]

proposing conforming policies in section V.G.3. of this proposed rule 
with respect to approved nursing and allied health education programs 
under 42 CFR 413.85.
3. Proposed Modifications to the Criteria for New Residency Programs
a. Background
    Section 1886(h)(4)(H)(i) of the Act requires CMS to establish rules 
for applying the direct GME cap in the case of medical residency 
training programs established on or after January 1, 1995. Under 
section 1886(d)(5)(B)(viii) of the Act, this provision also applies for 
purposes of the IME adjustment. These statutory requirements are 
implemented in the direct GME regulations at Sec. Sec.  413.79(e)(1) 
through (3) and the IME regulations at Sec.  412.105(f)(1)(vii), which 
provide for an FTE cap increase for certain hospitals that begin 
training residents in a new medical residency training program(s) on or 
after January 1, 1995, and specify the methodology for determining the 
permanent cap adjustment. Under these rules, cap adjustments are not 
provided for expansions of existing programs. Rather, a new urban 
teaching hospital receives a single five-year cap-building window to 
start new residency programs and grow those new residency programs, 
after which point its IME and DGME caps are permanently set. However, a 
rural teaching hospital may receive a separate cap adjustment each time 
it starts a new program. CMS originally implemented these policies in 
the August 29, 1997 Federal Register (62 FR 46005) and in the May 12, 
1998 Federal Register (63 FR 26333); the calculation of both the DGME 
cap and IME cap for new programs is discussed in the August 31, 2012 
Federal Register (77 FR 53416).
    Section 413.79(l) defines a new medical residency training program 
as ``a medical residency that receives initial accreditation by the 
appropriate accrediting body or begins training residents on or after 
January 1, 1995.'' In the August 27, 2009 Federal Register (74 FR 43908 
through 43917), CMS clarified the definition of a ``new'' residency 
program and adopted supporting criteria regarding whether or not a 
residency program can be considered new for the purpose of determining 
if a hospital can receive additional direct GME and/or IME cap slots 
for that program. CMS adopted these criteria in part to prevent 
situations where a program at an existing teaching hospital might be 
transferred to a new teaching hospital, resulting in cap slots created 
for the same program at two different hospitals. Under this policy, in 
addition to receiving initial accreditation, to be considered a ``new'' 
program for which new cap adjustments can be established, a residency 
program must satisfy three primary criteria (74 FR 43912):
     The program director is new; and
     The teaching staff are new; and
     The residents are new.
    Over the years, we have received questions regarding the 
application of these criteria, such as whether CMS would still consider 
a program to be new for cap adjustment purposes if the three criteria 
are partially, but not fully, satisfied. We have answered such 
questions by stating that, generally, a residency program's newness 
would not be compromised as long as the ``overwhelming majority'' of 
the residents and staff are not coming from previously existing 
programs in the same specialty.
b. The FY 2025 Proposed Rule
    In the FY 2025 IPPS/LTCH PPS proposed rule (May 2, 2024; 89 FR 
36221 through 36224), we noted that the question of what constitutes a 
``new'' program eligible to receive additional Medicare-funded GME 
slots has taken on increasing significance in light of the ability of 
urban hospitals to reclassify as rural under 42 CFR 412.103 for IME 
payment purposes and thus to receive additional IME cap slots for any 
new program started, leading to significant increases in aggregate 
Medicare IME spending. We stated that, to continue to ensure that new 
cap slots are created appropriately, we ultimately would like to 
establish additional criteria through rulemaking for determining 
program newness. However, we indicated that we were not yet certain 
about some of the criteria that should be proposed. Accordingly, we 
issued a proposal regarding the threshold for determining whether the 
``overwhelming majority'' of residents in a program are new and 
solicited public input on other topics via a Request for Information 
(RFI) (89 FR 36222).
    With regard to the newness of residents, we proposed that, in order 
for a residency program to be considered new, at least 90 percent of 
the individual resident trainees (not FTEs) must not have previous 
training in the same specialty as the new program. If more than 10 
percent of the trainees (not FTEs) transferred from another program at 
a different hospital/sponsor in the same specialty, even during their 
first year of training, we proposed that this would render the program 
as a whole (but not the entire hospital or its other new programs, if 
applicable) ineligible for new cap slots. In addition, we stated that 
there may be certain challenges that are unique to small or rural-based 
programs in developing new residencies, and that meeting the proposed 
threshold of 90 percent of resident trainees with no previous training 
experience in the specialty may be more difficult for those programs. 
Accordingly, we solicited comment on what should be considered a 
``small'' program and what percentage threshold or other approach 
regarding new resident trainees should be applied to these programs. We 
specifically sought comment on defining a small residency program as a 
program accredited for 16 or fewer resident positions.
    For further detail regarding our proposal on the newness of 
residents, we direct readers to the discussion in the FY 2025 proposed 
rule at 89 FR 36222.
    As stated previously, in the FY 2025 proposed rule we also issued a 
Request for Information on other aspects of the policy for determining 
program newness. In particular, we noted that it would be reasonable 
for a new residency program to seek to hire some experienced staff 
members, and we therefore solicited feedback on what an appropriate 
threshold should be for the percentage of faculty with no previous 
experience teaching in a program in the same specialty. We also 
solicited comment on whether it would be appropriate to define a 
certain period of time (for example, 10 years or 5 years) during which 
a faculty member or program director must not have been employed by 
another program in the same specialty in order to be considered 
``new.'' Finally, we sought input on two additional scenarios that 
might have implications for determining the newness of a residency 
program: the sharing of certain clinical and didactic experiences among 
residents from different programs, which we referred to as 
``commingling''; and situations in which one hospital operates two (or 
more) programs in the same specialty.
    For further details regarding the topics on which we solicited 
public comment, we direct readers to the discussion in the FY 2025 
proposed rule at 89 FR 36222 through 36224.
c. The FY 2025 Final Rule
    In the FY 2025 IPPS/LTCH PPS final rule (August 28, 2024; 89 FR 
69377 through 69380), we published a summary of the comments we 
received in response to our proposal that, for a residency program to 
be considered new, at least 90 percent of the individual resident 
trainees (not FTEs) must not have previous training in the

[[Page 19506]]

same specialty as the new program. We explained that, given the lack of 
consensus on this issue, we would not be finalizing our proposal in 
that rule. Instead, we initiated another comment solicitation 
particularly focused on the criterion regarding newness of residents. 
As part of this request, we asked commenters to consider the broad 
statutory authority provided to the Secretary in this area, our prior 
rulemaking on this issue, and all of the public comments on our 
proposal as summarized in the final rule. In the interest of 
facilitating consensus, we encouraged commenters to provide feedback on 
which alternatives to their preferred approach they would consider most 
acceptable among those suggested by other commenters.
    We also noted that, in response to our Requests for Information, 
the vast majority of commenters opposed any restrictions on the hiring 
of experienced faculty and program directors, as well as on the 
commingling of residents or sponsorship of multiple programs in the 
same specialty by a single hospital.
d. Summary of Responses to the Second Comment Solicitation
    We received 14 timely pieces of correspondence to our second 
comment solicitation on an appropriate standard for determining the 
newness of residents in a new program, including potential exceptions 
for small and/or rural programs. In addition, commenters submitted 
additional feedback on other topics on which we had previously issued 
Requests for Information, including the hiring of experienced faculty 
and staff, commingling of residents, and sponsorship of multiple 
programs in the same specialty by a single hospital. Later in this 
section, we present a summary of the responses we received and discuss 
our proposed policy for determining whether a residency program should 
be considered new for purposes of receiving additional Medicare-funded 
GME slots.
    Several commenters continued to urge CMS to define a ``new'' 
residency program as one that has received initial accreditation from 
the ACGME and to disregard other factors in determining program 
newness. However, a majority of commenters (including some who 
expressed a preference for the initial accreditation criterion) 
indicated that considering the previous training experience of 
residents could be an appropriate way for CMS to determine whether a 
residency program is genuinely new for cap-building purposes. Several 
commenters also indicated that the 90 percent threshold that we had 
originally proposed in the FY 2025 IPPS/LTCH PPS proposed rule could be 
an acceptable standard, while urging CMS to provide exceptions for 
programs that fall short of the threshold as a result of various 
extenuating circumstances. (We discuss feedback pertaining specifically 
to exceptions for small and/or rural programs separately later in the 
section.)
    For example, several commenters mentioned that hospitals sometimes 
need to replace residents who depart from a program for various 
reasons, including residents accepted via the supplemental match 
process who subsequently transfer to another residency in their 
preferred specialty. The commenters recommended that CMS allow programs 
to replace departing residents with other residents at the same 
training level, and that these replacements should not count against a 
program's compliance with the 90 percent threshold. More generally, 
several commenters stated that the 90 percent requirement should apply 
only to residents at the Program Year 1 level, while residents 
recruited at the Program Year 2 level or above should not disqualify a 
program from consideration as ``new.'' In addition, a number of 
commenters recommended that CMS allow a program to demonstrate that it 
would have met the 90 percent threshold were it not for the results of 
the National Resident Matching Program (the ``Match'') or other GME 
matching programs. Commenters noted that the results of the Match are 
binding on hospitals, and that selecting against candidates with prior 
training experience could violate the Match code of conduct and result 
in programs being banned from participation in the Match.
    A few commenters indicated that, for purposes of determining 
whether a program complies with the minimum new resident threshold, CMS 
should consider all the individual residents that enter the program 
during its five-year cap-building period. Additionally, some commenters 
recommended that CMS conduct interim reviews during the cap-building 
period to determine whether a new program is on track to meet the 
requirements and to give providers a chance to make necessary changes 
before a final newness determination is made. Several commenters also 
indicated that residents with previous training experience could be 
excluded from the final cap calculation without disqualifying the 
program itself from consideration as new. One commenter suggested that, 
instead of establishing an overall new resident threshold, CMS should 
only limit the number of residents admitted from the same existing 
program.
    In general, commenters reiterated their strong opposition to any 
restrictions on the hiring of experienced faculty and program 
directors, stating that such a policy would be harmful to the 
development of new residency programs. However, some commenters 
suggested a compromise policy whereby CMS would consider the previous 
experience of faculty and program director in conjunction with the 
previous experience of residents. Under this policy, CMS would continue 
to assess newness primarily on the basis of the proportion of residents 
with previous experience training in a program in the same specialty, 
but would conduct an ``enhanced review'' under certain circumstances, 
as follows:
     100 percent new residents: the program qualifies as new, 
without further review;
     At least 90 percent but less than 100 percent new 
residents: the program must demonstrate that residents have not 
previously trained in an existing residency program in the same 
specialty with any faculty or with the program director from the new 
residency program;
     Less than 90 percent new residents: the program does not 
qualify as new (subject to exceptions for certain categories of 
residents, as discussed previously).
    The commenters stated that this policy would effectively prevent 
the transfer of existing programs without unduly restricting the 
ability of programs to hire experienced staff.
    Other commenters recommended that CMS adopt a ``safe harbor'' 
policy, whereby a separately accredited program would be considered 
``new'' regardless of any potential overlap (in terms of residents, 
faculty or program director) with an existing program, as long as the 
existing program remains in operation for at least one year. Commenters 
argued that the concurrent operation of both programs would make it 
clear that the new program does not constitute a relocation of the 
existing program or an inappropriate duplication of the existing 
program's cap slots. Similarly, one commenter recommended that, instead 
of considering the previous experience of residents or staff, CMS 
should only consider whether these individuals are ``solely committed'' 
to the new program going forward.
    Commenters agreed that CMS should create exceptions to the new 
requirements for small and/or rural programs. A majority of commenters 
also agreed that a ``small'' program

[[Page 19507]]

should be defined as one that is accredited for 16 or fewer resident 
positions, although a few commenters indicated that only small programs 
located in rural or urban underserved areas should qualify for an 
exception. (We note that one commenter recommended a higher ceiling of 
22 resident positions.) The commenters recommended various more lenient 
newness criteria for programs that would qualify for an exception, with 
a few commenters recommending that such programs be exempted entirely 
from the newness requirements. In general, commenters urged CMS to 
ensure that the new program criteria do not unfairly disadvantage small 
programs or impede the development of residency programs in rural and/
or urban underserved areas, with a few commenters also voicing 
particular concern about the effect of potential policies on Rural 
Track Programs.
    Finally, commenters generally reiterated their opposition to any 
restrictions on ``commingling'' of residents or on hospitals sponsoring 
multiple residency programs in the same specialty. Commenters asserted 
the educational soundness of shared clinical and didactic experiences 
and indicated that such arrangements are increasingly required by the 
ACGME. In addition, commenters provided examples of circumstances under 
which a hospital might sponsor multiple programs in the same specialty, 
such as in the wake of a merger of hospitals, or in the case of a 
hospital that serves a large geographic area.
e. Proposal
    We thank the commenters for their thoughtful feedback in response 
to the comment solicitation published in the FY 2025 IPPS final rule. 
While commenters continued to recommend various ways of defining a 
``new'' residency program for purposes of establishing FTE caps, we 
believe there is sufficient consensus on the major issues for us to 
propose certain modifications to our existing policy.
(1) Initial Accreditation
    First, we acknowledge that a number of commenters continued to urge 
CMS to define a new residency program as one that has received initial 
accreditation from the ACGME and to disregard other factors in 
determining program newness. While we concede that this approach would 
be simple administratively, we reiterate the concerns that we 
originally discussed in the August 27, 2009 Federal Register, where we 
explained that the mission and priorities of CMS differ from those of 
the accrediting bodies, and that, in determining whether a residency 
program is genuinely new, it is appropriate for CMS to consider factors 
in addition to the accrediting body's characterization of that program 
(see discussion at 74 FR 43909 through 43913). In particular, we 
emphasize that a primary concern of CMS, not shared by the accrediting 
bodies, remains the inappropriate duplication of FTE cap slots 
associated with the relocation of an existing program from one hospital 
to another. Thus, although the existing regulations at Sec.  413.79(l) 
refer to initial accreditation as one of the criteria for determining 
whether a program is genuinely new for cap-building purposes, we 
continue to believe that we cannot rely solely on the characterization 
of an accrediting body in making this determination.
(2) Proposed Removal of Restrictions on Experienced Faculty and Staff
    Nevertheless, we are persuaded by commenters' arguments that some 
of the supporting factors promulgated in the August 27, 2009 Federal 
Register may be overly restrictive. In particular, we are persuaded by 
commenters who argued that CMS should not restrict the ability of new 
residency programs to hire experienced faculty and program directors. 
After considering the feedback we received in response to our original 
Requests for Information and our subsequent comment solicitation, we 
believe that considering the previous training experience of residents 
(as discussed in more detail later in this section) should provide a 
sufficient guardrail to ensure that existing programs are not being 
transferred between hospitals. Thus, we are proposing that, effective 
for programs started on or after October 1, 2026, we would no longer 
consider the previous employment of the faculty or program director in 
determining whether a residency program should be considered genuinely 
new for cap-building purposes. That is, a hospital would no longer have 
to demonstrate that the faculty and program director in a new program 
have not previously been employed in an existing program in the same 
specialty. We note that programs started on an earlier date that are 
still within the five-year cap-building period as of October 1, 2026, 
would continue to be subject to the newness criteria established in the 
August 27, 2009 Federal Register.
(3) Proposed Requirement for New Residents
    While we are proposing to remove the requirement related to 
previous employment of the faculty or program director, we do believe 
it is still appropriate for CMS to consider the previous training 
experience of residents in determining whether a residency program 
should be considered genuinely new. As discussed previously in the 
summary of responses to our second comment solicitation, a majority of 
commenters indicated that a 90 percent threshold could be an 
appropriate standard for determining whether the ``overwhelming 
majority'' of residents in a program are in fact new. Additionally, as 
discussed in the FY 2025 IPPS proposed rule (89 FR 36222), a 90 percent 
threshold would be generally consistent with the concept of an 
``overwhelming majority,'' and we have precedent for such a threshold 
in the regulations for section 5506 of the Affordable Care Act, which 
state that a hospital is considered to have taken over an ``entire'' 
program from a closed hospital if it can demonstrate that it took in 90 
percent or more of the FTE residents in that program. Therefore, we are 
proposing that, effective for programs started on or after October 1, 
2026, in order for a residency program to be considered new, in 
addition to receiving initial accreditation from the appropriate 
accrediting body, at least 90 percent of the individual resident 
trainees (not FTEs) must not have previous training in the same 
specialty as the new program. Apart from the exceptions, discussed 
later in this section, for small programs, for certain residents 
admitted via a binding resident matching program, and for displaced 
residents counted under the provisions of 42 CFR 413.79(h), this 
proposal regarding the newness of residents is substantially the same 
as the policy we had originally proposed in the FY 2025 IPPS/LTCH PPS 
proposed rule (89 FR 36222).
    For example, if a hospital establishes a new residency program in 
internal medicine, then, under our proposal, at least 90 percent of the 
residents in that program must not have previous training experience in 
another internal medicine program. If a resident was formally enrolled 
in another internal medicine program (whether preliminary or 
categorical), even if that resident switched programs during their 
first year of training, we would consider that resident to have 
previous training in the same specialty. By contrast, if an individual 
previously trained in a specialty other than internal medicine, and 
that resident switched into the new internal medicine program and began 
training in that program as a first-year resident, then the resident 
would not be

[[Page 19508]]

considered to have previous training in the same specialty, and would 
be counted as a new resident for purposes of determining compliance 
with the 90 percent threshold.
    (Consistent with the definition of ``resident'' at 42 CFR 
413.75(b), in the example noted previously we are distinguishing 
between a resident that was actually accepted, enrolled and 
participated in an internal medicine residency program from a resident 
who was not enrolled in an internal medicine program but who may have 
done a rotation in internal medicine as part of the requirements for a 
different specialty. Additionally, we note that an individual who 
enters a subspecialty training program, after having previously 
completed a residency in the antecedent specialty, would be counted as 
a new resident--for example, a resident who enters a critical care 
medicine fellowship after having previously completed a residency 
program in internal medicine would be counted as a new resident under 
our proposal.)
    Under the proposed policy, we would determine whether a program has 
satisfied the 90 percent threshold by tallying all of the individual 
residents who enter a program during the five-year cap building period 
(that is, for new urban teaching hospitals, during the first five 
program years of the first new program's existence; and for rural 
hospitals, during the first five program years of each new program). 
For example, if 50 trainees (not FTEs) enter the program over the 
course of the five-year cap building period, then at least 45 of the 
trainees (that is, 90 percent of 50) must enter the program as brand-
new first-year residents in that particular specialty. If more than 10 
percent of the individual trainees (not FTEs) previously trained in 
another program in the same specialty, we propose that this would 
render the program not new and therefore ineligible for an FTE cap 
adjustment. We would apply standard rounding in instances where the 
quotient does not equal a whole number, rounding down to the nearest 
whole number when the remainder is less than 0.5, and rounding up to 
the nearest whole number when the remainder is greater than or equal to 
0.5. For example, if 48 trainees (not FTEs) enter a program over the 
course of the five-year cap building period, then at least 43 of the 
trainees (90 percent of 48 = 43.2, which rounds down to 43) must not 
have previous experience training in a different program in the same 
specialty.
    We propose that, after the end of the five-year cap building 
period, the MAC would review the previous training experience of each 
individual trainee and determine the newness of the residency program 
prior to calculating the IME and DGME cap adjustments for the hospital. 
Consistent with our historical policy, the MAC would not be required to 
provide an initial assessment of ``newness'' prior to the end of the 
five-year cap building period.
(4) Proposed Exceptions for Certain Categories of Residents
    As noted previously, we are proposing to create a limited exception 
to the counting rules for certain residents admitted via the National 
Resident Matching Program (the Match) or other third-party resident 
matching programs whose results are binding on hospitals. (Examples of 
other matching programs that would fall under this provision include 
the Supplemental Offer and Acceptance Program, the Urology Residency 
Match Program, and the SF Match for Ophthalmology and Plastic Surgery 
residency programs.) Based on feedback received from commenters, we 
understand that the Match and similar programs are generally used to 
match prospective first-year residents to residency programs in their 
chosen specialties, and that hospitals do not have the discretion to 
refuse admission to a resident matched via this process. We also 
understand that candidates applying through the various matching 
programs may occasionally have previous experience training in another 
program in the same specialty--for example, an individual who may have 
withdrawn from a residency program and is seeking to restart his or her 
training.
    While hospitals may rank their preferred candidates, they cannot 
predict the ultimate complement of first-year residents allocated via 
the Match or other matching programs. As a result, a hospital that 
included multiple candidates with previous training experience on its 
ranked list could be required to accept a mix of residents that would 
cause it to fall short of our proposed 90 percent requirement. We agree 
with commenters that in such situations hospitals should not be 
penalized for the results of the Match or other binding resident 
matching programs. Accordingly, for purposes of determining compliance 
with the 90 percent requirement, we are proposing to exclude from the 
count of trainees any individuals with previous experience training in 
another program in the same specialty who enter the new program as 
first-year residents through the National Resident Matching Program or 
another binding third-party resident matching program. That is, such 
individuals would be excluded both from the numerator and from the 
denominator of the calculation used to determine the proportion of new 
vs. experienced residents. However, assuming that the program otherwise 
satisfies the proposed 90 percent threshold, the hospital would report 
such individuals on the new resident lines of the hospital cost report 
(that is, lines 15 and 15.01 of Worksheet E-4 and line 16 of Worksheet 
E, Part A) and the individuals would be included in the calculation of 
the hospital's permanent cap adjustment at the conclusion of the five-
year cap-building period.
    We also propose to exclude from the count of trainees any residents 
admitted into the new program from another program in the same 
specialty who meet the definition of a ``displaced resident'' under 42 
CFR 413.79(h)(1)(iii). That is, such individuals would be excluded both 
from the numerator and from the denominator of the calculation used to 
determine the proportion of new vs. experienced residents. In order to 
prevent the inappropriate duplication of cap slots associated with a 
closed program or closed hospital, we propose that displaced residents 
must not be reported on the new resident lines or included in the 
hospital's permanent cap adjustment. Instead, such individuals would be 
reported on the displaced resident lines (lines 16 and 16.01 of 
Worksheet E-4 and line 17 of Worksheet E, Part A) if the hospital 
qualifies for a temporary cap adjustment under 42 CFR 413.79(h). 
Otherwise, the individuals must be reported on the regular FTE lines 
(line 6 of Worksheet E-4 and line 10 of Worksheet E, Part A), subject 
to the hospital's existing DGME and IME FTE caps. Furthermore, since 
rotation schedules, and not cost report entries, are used to identify 
individual residents training in the new program for the purpose of 
calculating the permanent cap at the end of the five year cap building 
period under 42 CFR 413.79(e)(1)(i)(A), the displaced residents listed 
on the rotation schedule would be excluded from the new program cap 
calculation. We note that under certain circumstances, if a hospital 
trains residents displaced by a hospital closure, it may receive 
priority for receipt of cap slots if it submits an application for a 
permanent cap adjustment under the provisions of section 5506.
    For example, suppose that 50 individual trainees (not FTEs) enter a 
program during the five-year cap-building period, and that 4 of those

[[Page 19509]]

individuals enter the program as first-year residents via the Match and 
have previous experience training in another program in the same 
specialty. Additionally, the program admits 2 residents displaced from 
a closed program in the same specialty. If all 50 residents were 
included in the count, then at least 6 out of 50 or 12 percent of the 
residents in the program would be considered not new, rendering the 
program as a whole not new under our proposed 90 percent threshold. 
Under the proposed exceptions, we would exclude from this calculation 
the 4 first-year residents with previous training experience admitted 
via the Match, as well as the 2 residents displaced from the closed 
program. Thus, the hospital would have to demonstrate that at least 90 
percent of the remaining 44 residents (that is, 39.6 [ap] 40 residents) 
do not have previous experience training in another program in the same 
specialty. During the initial years of the new program, the hospital 
would report the 4 first-year residents on the new program lines, while 
it would report the 2 displaced residents on the displaced resident 
lines or the regular FTE lines, as applicable. At the conclusion of the 
cap-building period, the calculation of the hospital's permanent cap 
adjustment would include the 4 first-year residents admitted via the 
Match and exclude the 2 residents displaced from the closed program.
(5) Proposed Exception for Small Programs
    In addition, we are proposing to create an exception to the 90 
percent requirement for small residency programs. We propose to define 
a ``small'' program as one that is accredited for 16 or fewer resident 
(or fellow) positions, regardless of whether the program is located in 
an urban or a rural area. Based on the feedback we received from 
commenters, we believe that small programs, in particular, are at the 
greatest risk of failing to meet the 90 percent threshold for reasons 
beyond their control. Accordingly, we are proposing to exempt small 
residency programs, as defined previously, from the requirement that at 
least 90 percent of the residents who enter the program during the 
five-year cap-building period must not have previous experience 
training in another program in the same specialty. We are not proposing 
any minimum proportion of new residents that a small program must 
achieve in order to be considered new for cap-building purposes. 
However, programs accredited for 16 or fewer positions must still 
obtain initial accreditation from the appropriate accrediting body.
    We note that we are not proposing to adopt various other exceptions 
or policies recommended by commenters, as summarized in the preceding 
section of this preamble. We believe that the criterion we have 
proposed would accomplish our stated goal of preventing the 
inappropriate duplication of FTE cap slots, while the exception for 
small programs provides a reasonable safeguard for those programs that 
are at greatest risk of failing to meet the proposed requirement for 
reasons beyond their control. Additionally, we believe that the 
proposed policies have the advantage of being unambiguous and 
administratively simple, whereas we wish to avoid scenarios in which 
CMS or the MACs would need to review individual hospitals' 
circumstances on a case-by-case basis.
    Additionally, we note that we are not proposing any distinct 
policies with respect to the commingling of residents. Rather, we 
propose that program newness should be determined consistently on the 
basis of initial accreditation and the 90 percent new resident 
threshold. That is, we propose that if a particular program has 
received initial accreditation, and at least 90 percent of the 
individual trainees (not FTEs) entering the program during the five-
year cap building period are new (with exceptions as noted previously), 
then the program would be considered new for cap-building purposes 
regardless of whether residents in that program have shared educational 
experiences with residents of an existing program in the same 
specialty.
    Similarly, with regard to the question of whether it is permissible 
for one hospital to operate two or more programs in the same specialty, 
we propose that this would be permissible for cap-building purposes if 
the second or subsequent program has separately received initial 
accreditation and at least 90 percent of the individual trainees (not 
FTEs) entering the program during the five-year cap building period are 
new (with exceptions as noted previously). Note that this would be a 
change from existing policy, under which it is permissible for one 
hospital to operate two or more programs in the same specialty provided 
that the programs have separate program directors, staff, and 
separately matched residents without meeting any additional 
requirements (see discussion of existing policy in the August 27, 2009 
Federal Register at 74 FR 43913).
    In summary, we are proposing that, in addition to receiving initial 
accreditation by the appropriate accrediting body, for a residency 
program to be considered new, at least 90 percent of the individual 
resident trainees (not FTEs) must not have previous experience training 
in another program in the same specialty. We would no longer consider 
the previous employment of the faculty or program director in 
determining whether a residency program is genuinely new for cap-
building purposes. We would determine compliance with the 90 percent 
threshold by tallying all of the individual residents who enter a 
program during the five-year cap building period (that is, for new 
urban teaching hospitals, during the first five program years of the 
first new program's existence; and for rural hospitals, during the 
first five program years of each new program). This tally would exclude 
individuals with previous experience training in another program in the 
same specialty who enter the new program as first-year residents 
through the National Resident Matching Program or another binding 
third-party resident matching program, as well as individuals who meet 
the definition of a ``displaced resident'' under 42 CFR 
413.79(h)(1)(iii). The requirement that at least 90 percent of the 
individual residents must be new would not apply to small programs, 
defined as programs accredited for 16 or fewer resident positions, 
regardless of geographic designation. These policies would be effective 
for programs starting on or after October 1, 2026.
    To ensure that the regulations text appropriately reflects our 
proposed policy, we propose to revise the text of 42 CFR 413.79(l) to 
state that a new medical residency training program means a program 
that receives initial accreditation by the appropriate accrediting body 
or begins training residents on or after January 1, 1995, and that 
meets the following conditions:
     Subject to the following provisions, effective for 
programs started on or after October 1, 2026, at least 90 percent of 
the individual residents (not FTEs) that enter the program during the 
five-year cap building period (that is, for new urban teaching 
hospitals, during the first five program years of the first new 
program's existence under Sec.  413.79(e)(1); and for rural hospitals, 
during the first five program years of each new program under Sec.  
413.79(e)(3)) must not have previous experience training in another 
program in the same specialty.
     For purposes of determining compliance with the preceding 
requirement, the count of individual residents excludes individuals 
with previous experience training in another program in the same 
specialty who enter the program as first-year residents through the 
National Resident Matching

[[Page 19510]]

Program or another binding third-party resident matching program.
     The 90 percent new resident requirement does not apply to 
a program accredited for 16 or fewer resident positions.
4. Calculation of Direct GME and IME Payments Following a Merger of 
Hospitals
    When a hospital merger involves one or more teaching hospitals, the 
surviving provider experiences an influx of FTE residents from the 
terminating providers' residency programs. The surviving hospital also 
absorbs those providers' FTE caps (63 FR 26329) and receives a merged 
per resident amount for purposes of direct GME payment (71 FR 48073). 
In addition, the Medicare Part A and Medicare Advantage (MA) patient 
loads of the surviving hospital represent the combined Medicare 
utilization of all hospitals (teaching and non-teaching) participating 
in the merger.
    The surviving provider also experiences changes in the payment 
rates that determine the amount of its indirect medical education 
adjustment. In addition to the influx of FTE residents from the 
terminating providers' residency programs, the surviving provider 
absorbs those hospitals' existing IME FTE caps and available beds, 
resulting in a change to its intern- and resident-to-bed (IRB) ratio. 
The total amount of IME payment is also affected by the combination of 
the merged hospitals' Part A and simulated MA DRG revenues.
    While we are not proposing any new policies at this time, we are 
taking the opportunity to clarify in rulemaking the methodology for 
calculating DGME and IME payments for the surviving provider following 
a merger of hospitals. We discuss the procedure for calculating each 
payment type separately later in this section.
a. Calculating DGME Payments Following a Merger of Hospitals
    If the surviving hospital begins a new cost reporting period 
effective with the date of the merger, then direct GME payment for that 
initial merged period and subsequent periods is determined based on the 
hospital's new, combined DGME payment rates (with special consideration 
for the rolling average during the first two cost reporting periods, as 
discussed further later in this section). However, if the merger takes 
place in the middle of the surviving hospital's cost reporting period, 
then the hospital's DGME payment for that period must reflect the 
different payment rates that apply before and after the merger.
    In the August 18, 2006 Federal Register (71 FR 48075-48076), we 
stated that direct GME payment for the surviving hospital would be 
calculated on the basis of two distinct sets of PRAs (that is, two 
distinct primary care PRAs and two distinct nonprimary care PRAs, or 
two distinct single PRAs, as applicable), one for the pre-merger period 
and one for the post-merger period. Thus, to calculate the DGME payment 
for the surviving hospital for the cost reporting period in which the 
merger occurred, the Medicare administrative contractor (MAC) performs 
a series of off-the-cost-report calculations, treating the pre-merger 
and post-merger periods of the surviving hospital's cost reporting 
period as if they were two short cost reporting periods. The MAC would 
calculate the direct GME payment for the surviving hospital for the 
portion of the cost reporting period prior to the merger using only the 
surviving hospital's FTE counts, PRA(s) and Medicare utilization rate. 
Separately, the MAC would calculate the surviving hospital's post-
merger direct GME payment using the merged weighted average PRA(s) 
updated using special CPI-U factors; a combined rolling average FTE 
count reflecting the merged hospitals' FTE counts; and a combined 
Medicare utilization rate reflecting the portion of the cost reporting 
period following the merger. The MAC would add the pre-merger and post-
merger payments to determine the surviving hospital's total 
reimbursement for that cost reporting period. We also stated in the 
2006 rule that similar pre-merger and post-merger calculations are 
performed for the intern- and resident-to-bed ratio for purposes of IME 
payment, as discussed later in this preamble.
    In effect, the pre- and post-merger timeframes are treated as 
though they were individual short cost reporting periods, with virtual 
payment rates established for each period on the basis of the best 
available data for all providers. Later in this section, we provide a 
detailed step-by-step explanation, with an illustrative example, of how 
to calculate pre- and post-merger direct GME payments according to the 
policy outlined previously.
    To facilitate the calculation of the DGME payment amounts, the MAC 
determines the following variables separately for the pre- and post-
merger timeframes, consistent with the FTE counting rules for non-12-
month cost reporting periods as clarified in the August 4, 2025 Federal 
Register (90 FR 36915). In general, the pre-merger payment rates are 
based on data from the surviving provider only, while post-merger rates 
utilize data from all participating hospitals:
     FTE resident count--Calculate separately for the pre-
merger and post-merger periods: To determine the partial year 
unweighted DGME FTE counts, the sum of allowable rotations for all 
residents during each period is divided by 365 or 366, using data from 
the master rotation schedule or a similar source (see 90 FR 36915-16 
for further details). The weighted counts are obtained by applying the 
appropriate weighting factor to the rotations associated with each 
resident, and separate weighted counts are determined for primary care 
and non-primary care residents. For the pre-merger period, the count 
includes rotations allowable to the surviving provider only; for the 
post-merger period, the count includes the sum of all rotations 
allowable to the merged entity.\108\
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    \108\ If any of the merged hospitals is training displaced 
residents or residents in the initial years of a new program, those 
weighted counts would be determined according to the same procedure 
and the FTEs would be added to the respective rolling averages 
calculated for the pre- and post-merger periods.
---------------------------------------------------------------------------

     FTE resident limit (cap)--Calculate separately for the 
pre-merger and post-merger periods: The partial year DGME FTE resident 
limit is calculated by prorating the hospitals' original FTE caps, 
including any applicable adjustments, for the number of days in each 
respective period: the pre-merger limit is derived from the FTE caps of 
the surviving provider only, whereas the post-merger limit includes the 
combined caps of all hospitals participating in the merger. The 
prorated FTE caps are applied to the partial year FTE resident counts 
according to the usual procedure as described in the August 4, 2025 
Federal Register (90 FR 36917). If any of the merged hospitals has 
residents participating in a rural track program or residents counted 
under section 422 of the Medicare Prescription Drug, Improvement, and 
Modernization Act of 2003 (Pub. L. 108-173, codified at section 
1886(h)(7) of the Act), then those counts and caps are also determined 
and applied separately for the pre- and post-merger periods.
     Rolling average FTE count--Calculate separately for the 
pre-merger and post-merger periods: The current, prior- and 
penultimate-year weighted FTE counts, which serve as the inputs to the 
three-year rolling average, must also be determined separately for the

[[Page 19511]]

pre- and post-merger timeframes. The current year FTE counts are 
calculated as explained previously, while the prior- and penultimate-
year counts are obtained from lines 12 and 13 of Worksheet E-4 of the 
respective hospitals' cost reports, and prorated according to the 
procedure described in the August 4, 2025 Federal Register (90 FR 
36917).\109\ The numerator of the rolling average for the pre-merger 
period consists of the prorated FTE counts of the surviving provider 
only, while the post-merger numerator equals the sum of the prorated 
FTE counts of the surviving and terminating providers, simulating what 
the effect of the merger would have been during the prior and 
penultimate cost reporting periods.
---------------------------------------------------------------------------

    \109\ Note that the proration factor is applied after the prior- 
and penultimate-year FTE counts have been determined based on data 
from the respective cost reports, consistent with the instructions 
to lines 12 and 13 of Worksheet E-4.
---------------------------------------------------------------------------

    Note that a ``virtual'' rolling average must also be calculated for 
the merged provider's first two cost reporting periods beginning on or 
after the effective date of the merger: that is, the surviving and 
terminating providers' FTE counts must be combined as though they were 
merged during the prior and/or penultimate years (with proration 
applied as necessary to account for differences in the length of the 
respective hospitals' cost years). This procedure applies whether or 
not the merger occurred in the middle of the surviving provider's cost 
reporting period. Standard computation of the rolling average would 
resume in the third full post-merger cost reporting period.
    In addition to the FTE resident count, FTE resident limit, and 
rolling average FTE count, the MAC also determines separate per 
resident amounts and Medicare patient loads (for both Part A and 
managed care enrollees) for the pre- and post-merger timeframes:
     Per resident amount--Calculate separately for the pre-
merger and post-merger periods: Direct GME payment for the pre-merger 
period is calculated using the surviving provider's original primary 
care and nonprimary care PRAs, or single PRA, as applicable, updated to 
the midpoint of the pre-merger period. The post-merger payment is 
calculated using the merged primary care and nonprimary care PRAs, or 
merged single PRA, as applicable, determined according to the procedure 
finalized in the August 18, 2006 Federal Register (71 FR 48075-6); the 
merged PRA(s) is updated for inflation to the midpoint of the post-
merger period.
    If the surviving and/or terminating providers count additional 
residents under the provisions of section 422, then direct GME payments 
for those residents would be calculated separately for the pre- and 
post-merger periods, as applicable, with the special per resident 
amounts updated according to the same procedures outlined previously.
     Medicare patient load--Calculate separately for the pre-
merger and post-merger periods: Separate Medicare Part A and MA patient 
loads are determined for the pre- and post-merger periods using data 
from the hospitals' Provider Statistical and Reimbursement (PS&R) 
reports (see specific fields in the example table later in this 
section). For the pre-merger period, the numerator and denominator of 
the Medicare patient load comprise the Medicare and total inpatient 
days, respectively, attributable to the surviving provider during that 
period; for the post-merger period, the numerator and denominator 
comprise the sum of all inpatient days attributable to the merged 
hospitals (including any non-teaching hospitals absorbed by the 
surviving provider).
    If either the pre- or post-merger period straddles multiple 
calendar years, then separate MA patient loads must also be determined 
for the portions of that period occurring prior to and on or after 
January 1, so that the MA DGME payments may be adjusted by the 
percentage reduction applicable to each calendar year (as required by 
the regulations at Sec.  413.76(d)).
    Since the cost report does not support the use of multiple DGME 
payment rates for portions of a single cost year, these calculations 
must be performed off the cost report, and the results are summed to 
determine total DGME payment for the cost reporting period. Placeholder 
values based on the combined payment rates of the merged hospitals are 
reported as necessary on the applicable lines of Worksheet E-4.\110\
---------------------------------------------------------------------------

    \110\ For example, the FTE caps and adjustments of the surviving 
and terminating providers would be added and reported on the 
applicable FTE cap lines as though the providers had been merged for 
the entire cost reporting period.
---------------------------------------------------------------------------

    The following example illustrates the application of the policies 
described previously.
    Example:
    Consider a merger between teaching Hospitals A and B, effective 
November 1, 2023, where Hospital A is the surviving provider. Prior to 
the merger, Hospitals A and B had fiscal year ends of June 30 and 
December 31, respectively. As the surviving provider, Hospital A elects 
to maintain its existing fiscal year, and files a cost report for the 
period July 1, 2023, to June 30, 2024. Since different payment rates 
apply to the timeframes 07/01/23-10/31/23 and 11/01/23-06/30/24, two 
separate direct GME payments must be calculated for Hospital A's cost 
reporting period ending June 30, 2024. These calculations are performed 
off the cost report, and the sum of the total payments is reported on 
line 31 of Worksheet E-4 of the hospital cost report (Form CMS-2552-
10). (Hospital B would file a terminating cost report for the period 
January 1, 2023-October 31, 2023, with direct GME payment determined in 
accordance with the rules applicable to short cost reporting periods, 
as clarified in the August 4, 2025 Federal Register.)
    The following table summarizes the data that will be used to 
calculate Hospital A's pre- and post-merger DGME payments, based on the 
surviving and terminating providers' historical cost reports, as well 
as other sources such as rotation schedules and PS&R reports:

[[Page 19512]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.129

     
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    \111\ From the providers' most recently settled cost reports, as 
explained below under Notes.
---------------------------------------------------------------------------

    Notes:
     Since the hospitals are merged effective November 1, 2023, 
Hospital B technically does not have a separate FTE resident count, or 
separate inpatient days, during the period 11/01/23-06/30/24; post-
merger data for Hospital B are broken out for illustrative purposes 
only. In addition, Hospital B's pre-merger FTE counts and inpatient 
days for its 2023 cost year are printed in brackets since they do not 
factor into the merged provider's DGME payment rates for FYE 06/30/24. 
(However, note that Hospital B's pre-merger FTE counts will be used to 
calculate the rolling average for the merged provider's subsequent cost 
reports, as explained further later in this section.) Hospital B would 
file its terminating cost report and receive DGME payment for the 
period 01/01/23-10/31/23 in accordance with the rules applicable to 
short cost reporting periods.
    As noted later in this section, we assume in this example that 
Hospitals A and B each have a single PRA; accordingly, the FTE counts 
in this table represent combined totals for residents in both primary 
and nonprimary care programs.
     The prior- and penultimate-year FTE counts are required to 
calculate the three-year rolling averages for the pre- and post-merger 
periods. Hospital A's prior- and penultimate-year cost reporting 
periods are those ending on June 30, 2023, and June 30, 2022, 
respectively; Hospital B's are those ending on December 31, 2022, and 
December 31, 2021.
     The hospitals' DGME FTE resident limits include any 
applicable adjustments, such as those for new programs or slots 
received under various statutory provisions. For the purpose of this 
example, we assume that neither hospital has received additional 
residency slots under section 422.
     Consistent with the policy finalized in the August 18, 
2006 Federal Register (71 FR 48075), the individual hospitals' original 
(pre-merger) PRAs are sourced from the most recently settled cost 
reports. In this example we assume that the most recently settled cost 
reports of Hospitals A and B are those ending on June 30, 2021, and 
December 31, 2020, respectively. For the sake of convenience, we assume 
each hospital has a single PRA applicable to residents in all 
specialties.
     Managed care and total inpatient days during the post-
merger period 11/01/23-06/30/24 are further broken out into portions 
occurring before and after January 1, since different percentage 
reductions to MA DGME payments apply to calendar years 2023 and 2024.
Pre-Merger Direct GME Payment (July 1, 2023, to October 31, 2023)
    To calculate the surviving provider's direct GME payment for the 
pre-merger period 07/01/23-10/31/23, the following variables are 
determined based on Hospital A's individual records for the relevant 
timeframe:
     FTE resident count: As indicated in the table outlined 
previously, Hospital A's weighted DGME FTE resident count during the 
period 07/01/23--10/31/23 is 14.28 FTEs, based on data from Hospital 
A's rotation schedules or similar documentation and determined 
according to the methodology clarified in the August 4, 2025 Federal 
Register.
     FTE resident limit: The FTE resident limit for the pre-
merger period is obtained by prorating Hospital A's full-year DGME FTE 
cap. Since there are 123 days during the period 07/01/23-10/31/23 and 
the full cost reporting period includes February 29, the prorated FTE 
cap equals: 40 x (123 / 366) = 13.44, which is less than the actual 
weighted DGME count of 14.28. Accordingly, Hospital A's effective DGME 
resident count for the pre-merger period is 13.44 FTEs.
     Rolling average FTE count: To determine the three-year 
rolling average, Hospital A's prior- and penultimate-year FTE counts 
are divided by the number of days in the respective cost reporting 
periods and multiplied by 123: \112\
---------------------------------------------------------------------------

    \112\ This assumes that Hospital A's prior- and penultimate-year 
CRPs are both standard 12-month periods.
---------------------------------------------------------------------------

    ++ Prior year: 40 x (123 / 365) = 13.48 FTEs.
    ++ Penultimate year: 39 x (123 / 365) = 13.14 FTEs.
    The rolling average therefore equals: (13.44 + 13.48 + 13.14) / 3 = 
13.35 FTEs.
     Per resident amount: Hospital A's updated single PRA for 
its most recently settled cost reporting period ending June 30, 2021, 
was $134,000. This PRA must be updated from the calendrical midpoint of 
Hospital A's June 30, 2021 fiscal year to the midpoint of the period 
07/01/23-10/31/23, that is, from December 30, 2020, to August 31, 2023, 
using an appropriate inflation factor to estimate the change in the 
CPI-U during this period. Accordingly, Hospital A's FY 2021 PRA is 
updated by an inflation factor of 1.1777: $134,000 x 1.1777 =

[[Page 19513]]

$157,812. (The calculation of the inflation factor itself is omitted 
for the sake of brevity.)
     Medicare patient load: Based on the data from the table 
noted previously, Hospital A's Medicare Part A patient load for the 
period 07/01/23-10/31/23 is 8,303 / 18,450 = 0.45; the Medicare 
Advantage patient load for the same period is 2,768 / 18,450 = 0.15.
    With these data points established, we can calculate total Part A 
and MA DGME payment for Hospital A during the pre-merger period 07/01/
23-10/31/23. (Note: MA DGME payment is reduced by the percentage 
determined by CMS for calendar year 2023 and published in the Federal 
Register):
     Part A: $157,812 x 13.35 x 0.45 = $948,055.59.
     MA: $157,812 x 13.35 x 0.15 x (1-0.0274) = $307,359.62.
    Thus, Hospital A's total DGME payment for the pre-merger period is: 
$948,055.59 + $307,359.62 = $1,255,415.21.
Post-Merger Direct GME Payment (November 1, 2023, to June 30, 2024)
    For the post-merger period, the same payment variables are 
calculated using data from the records of both the surviving and 
terminating providers:
     FTE resident count: The combined weighted DGME resident 
count of Hospitals A and B (that is, the newly merged entity) for the 
period 11/01/23-06/30/24 is 27.72 + 13.20 = 40.92 FTEs.
     FTE resident limit: The merged provider's combined DGME 
FTE cap is 40 + 25 = 65 FTEs, which must be prorated for the partial 
cost reporting period. Since there are 243 days during the period 11/
01/23-06/30/24 and the full cost reporting period includes February 29, 
the prorated FTE cap equals: 65 x (243 / 366) = 43.16, which is greater 
than the actual weighted DGME count of 40.92. Accordingly, the 
provider's effective DGME resident count for the post-merger period is 
40.92 FTEs.
     Rolling average FTE count: To determine a representative 
three-year rolling average for the post-merger timeframe, we must treat 
Hospitals A and B as though they had been merged during their preceding 
two cost reporting periods. Accordingly, the prior-year FTE count used 
in the rolling average calculation (before proration) is equal to the 
combined prior-year FTE counts of the two hospitals: 40 + 21.5 = 61.50 
FTEs; and the penultimate-year FTE count is equal to: 39 + 19.25 = 
58.25 FTEs. These totals are then divided by the number of days in the 
respective cost reporting periods and multiplied by 243: \113\
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    \113\ This assumes that the hospitals' prior- and penultimate-
year CRPs are all standard 12-month periods. If not, the appropriate 
proration factors would need to be applied prior to summing the 
hospitals' respective FTE counts (since the proration factor would 
be different for each hospital).
---------------------------------------------------------------------------

    [cir] Prior year: 61.50 x (243 / 365) = 40.94 FTEs.
    [cir] Penultimate year: 58.25 x (243 / 365) = 38.78 FTEs.
    The rolling average therefore equals: (40.92 + 40.94 + 38.78) / 3 = 
40.21 FTEs.
    [cir] Hospital A's FY 2021 PRA of $134,000 is updated by an 
inflation factor of 1.1416 to $152,974.
    [cir] Hospital B's FY 2020 PRA of $127,500 is updated by an 
inflation factor of 1.1530 to $147,007.
    To determine the weighted average merged PRA, each hospital's 
individual PRA is weighted by the number of DGME FTE residents on its 
most recently settled cost report. Assume that on their FY 2021 and FY 
2020 cost reports, Hospitals A and B reported 40 FTEs and 20 FTEs, 
respectively. The merged PRA is then equal to: ((40 x $152,974) + (20 x 
$147,007)) / 60 = $150,985.
    Finally, the merged PRA as established previously is updated from 
the calendrical midpoint of Hospital A's June 30, 2023 fiscal year to 
the midpoint of the period 11/01/23-06/30/24, that is, from December 
30, 2022, to March 1, 2024. Using the same methodology as previously, 
the merged PRA of $150,985 is updated by an inflation factor of 1.0448 
to $157,749.
     Medicare patient load: The Medicare patient load for the 
period 11/01/23-06/30/24 is determined based on the combined inpatient 
days attributable to the merged hospitals. Since the period straddles 
multiple calendar years, separate MA patient loads must be determined 
for the periods before and after January 1:
    [cir] Part A: 29,887 / 74,720 = 0.399.
    [cir] MA (before Jan. 1): 3,325 / 74,720 = 0.044.
    [cir] MA (from Jan. 1): 9,565 / 74,720 = 0.128.
    (In these calculations, the denominator is equal to the total 
number of inpatient days at the merged hospital for the entire period 
11/01/23-06/30/24 (that is, the sum of the inpatient days at Hospitals 
A and B, as indicated in the table noted previously); the numerators 
are obtained by summing the relevant categories of inpatient days for 
the respective periods.)
    With these data points established, we can calculate total Part A 
and MA DGME payment for the merged provider during the post-merger 
period 11/01/23-06/30/24. (Note: MA DGME payments are reduced by the 
percentages determined by CMS for calendar years 2023 and 2024 and 
published in the Federal Register):
     Part A: $157,749 x 40.21 x 0.399 = $2,530,891.83.
     MA (before Jan. 1): $157,749 x 40.21 x 0.044 x (1-0.0274) 
= $271,448.61.
     MA (from Jan. 1): $157,749 x 40.21 x 0.128 x (1-0.0233) = 
$792,997.55
    Thus, the provider's total DGME payment for the post-merger period 
is: $2,530,891.83 + $271,448.61 + $792,997.55 = $3,595,337.99.
Subsequent Cost Reporting Periods (FYEs June 30, 2025, and June 30, 
2026)
    Direct GME payments for subsequent cost reporting periods are based 
on the provider's merged DGME payment rates and calculated according to 
the usual procedures. However, during the first two cost reporting 
periods following the merger (that is, FYE 06/30/25 and FYE 06/30/26), 
the rolling average must be calculated as though the hospitals had been 
merged for the entirety of their prior- and penultimate-year cost 
reporting periods. This ensures that the rolling average is 
representative of the training that occurs at the post-merger entity. 
(Note that this procedure applies whether the merger occurs in the 
middle of the surviving provider's cost reporting period, as in this 
example, or coincides with the start of a new cost reporting period.)
    Accordingly, in this example, the prior- and penultimate-year FTE 
counts for the merged provider's cost reporting period ending June 30, 
2025, would be determined as follows:
     Prior year: The prior cost reporting periods of Hospitals 
A and B are those ending on June 30, 2024, and October 31, 2023, 
respectively, and the prior-year FTE count is equal to the hospitals' 
combined weighted FTE counts, determined based on data from the 
respective cost reports, consistent with the instructions to lines 12 
and 13 of Worksheet E-4. (Note that Hospital B's FYE 10/31/23 is its 
short terminating cost reporting period that began January 1, 2023.) 
Based on data from the applicable cost reports, and as shown in the 
table, Hospital A's individual FTE count (subject to the cap) during 
FYE 06/30/24 is 40 FTEs,\114\ while Hospital

[[Page 19514]]

B's individual FTE count (subject to the cap) during FYE 10/31/23 is 
16.55 FTEs.\115\
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    \114\ I.e., the lesser of its DGME FTE cap of 40 or the actual 
weighted FTE count during this period, plus any podiatric or dental 
FTEs (not applicable to this example). Since the actual weighted FTE 
count is 14.28 + 27.72 = 42, the effective DGME count for the prior 
year is 40 FTEs. (Note that this prior year-FTE count would be equal 
to the placeholder value reported on line 11 of Worksheet E-4 of 
Hospital A's FYE 06/30/2024 cost report.)
    \115\ On Hospital B's FYE 10/31/23 cost report, the weighted FTE 
count of 16.55 on Worksheet E-4, line 8, represents 10 months of 
aggregate rotations allowable for purposes of DGME payment (9.75 
during 01/01/23-06/30/23 and 6.80 during 07/01/23-10/31/23, as show 
in the table). Hospital B's DGME FTE cap of 25 FTEs, as reported on 
line 5, would also be prorated to reflect the short cost reporting 
period: 25 / 365 x 304 = 20.82. Thus, Hospital B's prior year DGME 
FTE count is the lesser of 16.55 FTEs or its prorated DGME FTE cap 
of 20.82. (Note that this would be equal to the value reported on 
line 11 of Worksheet E-4 of Hospital B's FYE 10/31/23 cost report.)
---------------------------------------------------------------------------

    Since Hospital B's prior cost reporting period was only 10 months 
long, its prior-year FTE count must be inflated to a 12-month 
equivalent, consistent with the policy clarified in the August 4, 2025 
Federal Register (90 FR 36917): 16.55 / 304 x 365 = 19.87 FTEs. 
Accordingly, the combined prior-year FTE count of the merged entity is: 
40 + 19.87 = 59.87 FTEs.
     Penultimate year: The penultimate cost reporting periods 
of Hospitals A and B are those ending on June 30, 2023, and December 
31, 2022, respectively. Based on data from the applicable cost reports, 
and as shown in the table, the sum of the providers' individual FTE 
counts during those respective periods is equal to: 40 + 21.5 = 61.50 
FTEs.
    For the following cost reporting period ending June 30, 2026, the 
prior year-FTE count would be the merged provider's weighted DGME 
count, subject to the cap, as reported on the preceding cost report 
(FYE 06/30/2025; not shown); and the penultimate-year FTE count would 
be the hospitals' combined count as determined previously for the 
periods 07/01/23-06/30/24 and 01/01/23-10/31/23, that is, 59.87 FTEs. 
Beginning with the provider's FYE 06/30/2027 cost report, the rolling 
average would be calculated in accordance with normal procedure.
b. Calculating IME Payments Following a Merger of Hospitals
    As stated previously, when a hospital merger involves one or more 
teaching hospitals, the surviving provider experiences an influx of FTE 
residents from the terminating providers' residency programs and 
absorbs those hospitals' existing IME FTE caps and available beds, 
resulting in a change to its intern- and resident-to-bed (IRB) ratio. 
The merged provider also experiences an increase in both Part A and 
simulated managed care DRG revenue.
    The IME payment associated with a particular discharge reflects the 
payment rates applicable on the date the discharge occurs: if the 
discharge occurs prior to the effective date of the merger, the 
provider's individual IME payment rates are used; if the discharge 
occurs on or after the effective date of the merger, the IME adjustment 
is computed based on the combined payment rates of the merged 
providers. For cost reporting purposes, the surviving provider's total 
IME payment is based on the payment rate(s) applicable during each cost 
reporting period or portion thereof. Specifically, if the surviving 
hospital begins a new cost reporting period effective with the date of 
the merger, then total IME payment for that initial merged period and 
subsequent periods is determined based on the hospital's new, combined 
IME payment rates (with special consideration for the IRB ratio cap and 
rolling average during the first two cost reporting periods, as 
discussed further later in this section). However, if the merger takes 
place in the middle of the surviving hospital's cost reporting period, 
then the hospital's total IME payment for that period must reflect the 
different payment rates that apply before and after the merger.
    Principles similar to what is discussed previously for direct GME 
apply to the calculation of the surviving provider's total IME payment 
amounts: that is, the MAC divides the cost reporting period into pre- 
and post-merger portions and calculates separate IME payments for each 
portion (according to the procedure described later in this section). 
In effect, the pre- and post-merger timeframes are treated as though 
they were individual short cost reporting periods, with virtual payment 
rates established for each period on the basis of the best available 
data for all providers and consistent with the FTE counting policies 
for non-12-month cost reporting periods as clarified in the August 4, 
2025 Federal Register (90 FR 36915).
    To facilitate the calculation of the IME payment amounts, the MAC 
determines separate intern- and resident-to-bed ratios for the pre- and 
post-merger portions of the cost reporting period, which involves 
determining separate FTE resident counts, FTE caps, rolling average FTE 
counts, and available bed counts, as well as separate application of 
the IRB ratio cap. The resulting teaching adjustment factors are 
multiplied by DRG revenue to obtain total Part A and managed care IME 
payments for the respective timeframes. Specific procedures for 
determining these variables are discussed later in this section; as 
clarified previously for DGME, the pre-merger IME payment rates are 
based on data from the surviving provider only, while post-merger rates 
utilize data from all participating hospitals.
IRB Ratio--Numerator
    The numerator of the current year IRB ratio (prior to the 
application of the IRB ratio cap) consists of the allowable IME FTE 
resident count, subject to the IME FTE cap and the three-year rolling 
average. These variables are determined for the pre- and post-merger 
periods as follows:
     FTE resident count--Calculate separately for the pre-
merger and post-merger periods: To determine the partial year IME FTE 
counts, the sum of allowable rotations for all residents during the 
pre- and post-merger periods is divided by the actual number of days in 
each respective period, using data from the master rotation schedule or 
a similar source (see 90 FR 36915-16 for further details). For the pre-
merger period, the count includes rotations allowable to the surviving 
provider only; for the post-merger period, the count includes the sum 
of all rotations allowable to the merged entity.\116\
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    \116\ If any of the merged hospitals is training displaced 
residents or residents in the initial years of a new program, those 
FTE counts would be determined according to the same procedure and 
the FTEs would be added to the respective rolling averages 
calculated for the pre- and post-merger periods.
---------------------------------------------------------------------------

     FTE resident limit (cap)--Calculate separately for the 
pre-merger and post-merger periods: Consistent with the FTE counting 
policies clarified in the August 4, 2025 Federal Register (90 FR 
36917), it is not necessary to prorate the IME cap for non-12-month 
cost reporting periods; the partial year IME FTE resident limits are 
thus equal to the hospitals' original FTE caps, including any 
adjustments, without the application of a proration factor. The pre-
merger limit is equal to the FTE cap of the surviving provider only, 
whereas the post-merger limit consists of the combined caps of all 
hospitals participating in the merger. The FTE caps are applied to the 
partial year FTE resident counts according to the usual procedure as 
described in the August 4, 2025 Federal Register (90 FR 36917). If any 
of the merged hospitals has residents participating in a rural track 
program or residents counted under section 422, then those counts and 
caps are also determined and applied separately for the pre- and post-
merger periods.
     Rolling average FTE count--Calculate separately for the 
pre-merger and post-merger periods: The current,

[[Page 19515]]

prior- and penultimate-year IME counts, which serve as the inputs to 
the three-year rolling average, must also be determined separately for 
the pre- and post-merger timeframes. The current year FTE counts are 
calculated as explained previously, while the prior- and penultimate-
year counts are obtained from lines 13 and 14 of Worksheet E, Part A, 
of the respective hospitals' cost reports (without the application of 
proration factors; see 90 FR 36917). The numerator of the rolling 
average for the pre-merger period consists of the FTE counts of the 
surviving provider only, while the post-merger numerator equals the 
combined FTE counts of the surviving and terminating providers, 
simulating what the effect of the merger would have been during the 
prior and penultimate cost reporting periods.
    Note that a ``virtual'' rolling average must also be calculated for 
the merged provider's first two cost reporting periods beginning on or 
after the effective date of the merger: that is, the surviving and 
terminating providers' FTE counts must be combined as though they were 
merged during the prior and/or penultimate years. This procedure 
applies whether or not the merger occurred in the middle of the 
surviving provider's cost reporting period. Standard computation of the 
rolling average would resume in the third full post-merger cost 
reporting period.
    Also note that the procedures for determining the partial year IME 
resident counts, caps, and rolling averages closely resemble the 
corresponding procedures described previously for direct GME, except 
that the IME variables are not adjusted relative to a standard 12-month 
cost reporting period, consistent with the policy clarified in the 
August 4, 2025 Federal Register.
IRB Ratio--Denominator (Available Beds)
    The denominator of the current year IRB ratio (prior to the 
application of the IRB ratio cap) consists of the number of available 
beds, determined for the pre- and post-merger periods as follows:
     Available bed count--Calculate separately for the pre-
merger and post-merger periods: Consistent with the methodology at 42 
CFR 412.105(b), the available bed count is equal to the number of 
available bed days divided by the number of days in the virtual cost 
reporting period. For the pre-merger period, only the surviving 
provider's available bed days are counted. Thus, the pre-merger bed 
count is computed by counting the number of available bed days during 
the pre-merger period for the surviving provider, and dividing by the 
number of days in the pre-merger period. For the post-merger period, 
the count includes the available bed days of the surviving and 
terminating providers, including any non-teaching hospitals 
participating in the merger.\117\ Thus, the post-merger bed count is 
computed by counting the number of available bed days during the post-
merger period for all participating hospitals, and dividing by the 
number of days in the post-merger period.
---------------------------------------------------------------------------

    \117\ Available bed days of terminating non-teaching providers 
are included in the post-merger count because the IRB ratio 
represents teaching intensity across the entire merged entity. This 
is analogous to the inclusion of the inpatient days of non-teaching 
providers in the Medicare patient load for purposes of determining 
post-merger DGME payments.
---------------------------------------------------------------------------

IRB Ratio Cap
    Similar to the rolling average, the IRB ratio cap must be 
determined and applied separately for the pre- and post-merger 
timeframes, with the post-merger cap simulating what the effect of the 
merger would have been during the hospitals' preceding cost reporting 
periods:
     Prior year numerator--Calculate separately for the pre-
merger and post-merger periods: The numerator of the IRB ratio cap is 
derived from the allowable IME FTE counts, subject to the IME FTE cap 
(but before application of the rolling average), reported on Worksheet 
E, Part A, line 12 of the respective hospitals' prior year cost 
reports: the numerator of the pre-merger cap consists of the FTE count 
of the surviving provider only (that is, the FTE count reported on line 
12 of Worksheet E, Part A, of the surviving provider's prior year cost 
report), while the numerator of the post-merger cap equals the sum of 
the FTE counts of the surviving and terminating providers (that is, of 
the sum of the FTE counts reported on line 12 of Worksheet E, Part A, 
of each participating hospital's prior year cost report). If a hospital 
reports displaced residents or residents in the initial years of a new 
program, or if its FTE count has increased in the current year as a 
result of an affiliation agreement, then those residents are added to 
the prior year numerator, consistent with the instructions to line 20 
of Worksheet E, Part A.
     Prior year denominator--Calculate separately for the pre-
merger and post-merger periods: Similarly, the denominator of the IRB 
ratio cap is derived from the available bed counts reported on 
Worksheet E, Part A, line 4 of the respective hospitals' prior year 
cost reports: the denominator of the pre-merger cap includes the 
available beds of the surviving provider only, while the denominator of 
the post-merger cap, consists of the sum of the available beds of the 
surviving and terminating providers. The available bed counts are 
obtained from line 4 of Worksheet E, Part A, of the hospitals' prior 
year cost reports; if any non-teaching hospital participates in the 
merger, that hospital's bed count would be determined by dividing the 
prior year Worksheet S-3, Part I, column 3, line 14, plus line 32, by 
the number of days in the prior year cost reporting period.
    For reasons analogous to those discussed elsewhere in this preamble 
and in the August 4, 2025 Federal Register (90 FR 36915), the 
components of the IRB ratio cap are derived without the application of 
a proration factor. Consistent with the usual policy under Sec.  
412.105(a)(1), the respective IRB ratios and IRB ratio caps, as 
determined previously, are compared, and the lesser values are used to 
calculate the teaching adjustment factors for the pre- and post-merger 
timeframes.
    Similar to the rolling average, a ``virtual'' IRB ratio cap, 
consisting of the combined FTE and available bed counts of the 
surviving and terminating providers, must also be determined for the 
first cost reporting period beginning on or after the effective date of 
the merger, to simulate what the effect of the merger would have been 
during the prior year. This procedure applies whether or not the merger 
occurred in the middle of the surviving provider's cost reporting 
period. Standard computation of the IRB ratio cap would resume in the 
second full post-merger cost reporting period.
DRG Revenue and Total IME Payment
    To calculate total IME payments, the pre- and post-merger teaching 
adjustment factors, as determined previously, are multiplied by the 
hospitals' Part A and simulated managed care DRG revenue for the 
respective timeframes:
     DRG revenue (Part A and simulated managed care)--Calculate 
separately for the pre-merger and post-merger periods: The teaching 
adjustment factor for the pre-merger period is multiplied by the pre-
merger DRG revenue of the surviving provider only, while the teaching 
adjustment factor for the post-merger period is multiplied by the 
combined DRG revenue of the surviving and terminating providers. Both 
Part A and simulated managed care DRG revenue are accumulated on the 
Provider Statistical and Reimbursement (PS&R) Report based on claims 
submitted by the hospital.

[[Page 19516]]

    Note that if the surviving and/or terminating providers count 
additional residents under the provisions of section 422, the total IME 
payments for those residents would be calculated separately for the 
pre- and post-merger periods, as applicable, using the special formula 
multiplier of 0.66.
    Since the cost report does not support the use of multiple IME 
payment rates for portions of a single cost year, the calculations 
described in this section must be performed off the cost report, and 
the results are summed to determine total IME payment for the cost 
reporting period. Placeholder values based on the combined payment 
rates of the merged hospitals are reported as necessary on the 
applicable lines of Worksheet E, Part A.\118\
---------------------------------------------------------------------------

    \118\ For example, the FTE caps and adjustments of the surviving 
and terminating providers would be added and reported on the 
applicable FTE cap lines as though the providers had been merged for 
the entire cost reporting period.
---------------------------------------------------------------------------

    The following example illustrates the application of the policies 
described previously.
    Example:
    (Note: This example generally replicates the scenario outline 
previously in the discussion of direct GME payment, adjusted as 
necessary to reflect the variables involved in the IME payment 
calculation.)
    Consider a merger between teaching Hospitals A and B, effective 
November 1, 2023, where Hospital A is the surviving provider. Prior to 
the merger, Hospitals A and B had fiscal year ends of June 30 and 
December 31, respectively. As the surviving provider, Hospital A elects 
to maintain its existing fiscal year, and files a cost report for the 
period July 1, 2023, to June 30, 2024. Since different payment rates 
apply to the timeframes 07/01/23-10/31/23 and 11/01/23-06/30/24, two 
separate IME payment totals must be calculated for Hospital A's cost 
reporting period ending June 30, 2024. These calculations are performed 
off the cost report, and the total Part A and managed care payments are 
reported on lines 29 and 29.01, respectively, of Worksheet E, Part A of 
the hospital cost report (Form CMS-2552-10). (Hospital B would file a 
terminating cost report for the period January 1, 2023-October 31, 
2023, with IME payment determined in accordance with the rules 
applicable to short cost reporting periods, as clarified in the August 
4, 2025 Federal Register.)
    The following table summarizes the data that will be used to 
calculate Hospital A's pre- and post-merger IME payments, based on the 
surviving and terminating providers' historical cost reports, as well 
as other sources such as rotation schedules and PS&R reports:
[GRAPHIC] [TIFF OMITTED] TP14AP26.130

    Notes:
     Since the hospitals are merged effective November 1, 2023, 
Hospital B technically does not have a separate FTE resident count, 
separate available bed count, or separate DRG revenue during the period 
11/01/23-06/30/24; post-merger data for Hospital B are broken out for 
illustrative purposes only. In addition, Hospital B's pre-merger FTE 
counts and available bed counts for its 2023 cost year are printed in 
brackets since they do not factor into the merged provider's IME 
payment rates for FYE 06/30/24. (However, note that Hospital B's pre-
merger FTE and bed counts will be used to calculate the rolling average 
and the IRB ratio cap for the merged provider's subsequent cost 
reports, as explained further below.) Hospital B would file its 
terminating cost report and receive IME payment for the period 01/01/
23-10/31/23 in accordance with the rules applicable to short cost 
reporting periods.
     The prior- and penultimate-year FTE counts are required to 
calculate the three-year rolling averages for the pre- and post-merger 
periods. Hospital A's prior- and penultimate-year cost reporting 
periods are those ending on June 30, 2023, and June 30, 2022, 
respectively; Hospital B's are those ending on December 31, 2022, and 
December 31, 2021.
     The hospitals' IME FTE resident limits include any 
applicable adjustments, such as those for new programs or slots 
received under various statutory provisions. For purposes of this 
example, we assume that neither hospital has received additional 
residency slots under section 422.
     As explained previously, the available bed count is equal 
to the number of available bed days divided by the number of days in 
the cost reporting period (or virtual period, as here). For purposes of 
this example, we assume that each hospital's available bed count 
remains constant over time.
Pre-Merger IME Payment (July 1, 2023, to October 31, 2023)
    To calculate the surviving provider's IME payment for the pre-
merger period 07/01/23-10/31/23, the following variables are determined 
based on Hospital A's individual records for the relevant timeframe:
     FTE resident count: As indicated in the table noted 
previously, Hospital A's IME FTE resident count during the period 07/
01/23-10/31/23 is 42.00 FTEs, based on data from Hospital A's rotation 
schedules or similar documentation and determined according to the 
methodology clarified in the August 4, 2025 Federal Register.
     FTE resident limit: Hospital A's IME FTE resident limit is 
40.00, which is less than the actual IME count of 42 FTEs during this 
timeframe. Accordingly, Hospital A's effective IME resident count for 
the pre-merger period is 40.00 FTEs. (Note that neither the IME FTE 
count nor the IME FTE cap is prorated for the short virtual cost 
reporting period.)

[[Page 19517]]

     Rolling average FTE count: As shown in the table, Hospital 
A's prior- and penultimate-year IME FTE counts are 40 and 39 FTEs, 
respectively. (Again, note that these values are not prorated for the 
short cost reporting period.) The rolling average therefore equals: (40 
+ 40 + 39) / 3 = 39.67 FTEs.
     IRB ratio: The unadjusted IRB ratio for the pre-merger 
period is equal to the rolling average FTE count divided by the count 
of available beds: 39.67 / 300 = 0.132.
     IRB ratio cap: The IRB ratio cap is equal to the prior 
year IME FTE count (subject to the cap but before application of the 
rolling average) divided by the count of available beds: 40 / 300 = 
0.133, which is greater than the actual IRB ratio of 0.132. 
Accordingly, Hospital A's effective IRB ratio for the pre-merger period 
is 0.132.
     DRG revenue: Hospital A's total Part A DRG revenue during 
the pre-merger period is $15,625,000, and its simulated managed care 
DRG revenue (based on shadow claims submitted during the same period) 
is $5,187,500.
    Based on the data noted previously, the IME teaching adjustment 
factor for Hospital A during the pre-merger period 07/01/23-10/31/23 
equals: 1.35 x ((1 + 0.132)\0.405\-1) = 0.07. Accordingly, Hospital A's 
total IME payment amounts during this period are:
     Part A IME: 0.07 x $15,625,000 = $1,093,750.
     Managed care (MA) IME: 0.07 x $5,187,500 = $363,125.
    Thus, Hospital A's total IME payment for the pre-merger period is: 
$1,093,750 + $363,125 = $1,456,875.
Post-Merger IME Payment (November 1, 2023, to June 30, 2024)
    For the post-merger period, the same payment variables are 
calculated using data from the records of both the surviving and 
terminating providers:
     FTE resident count: The combined IME FTE resident count of 
Hospitals A and B (that is, the newly merged entity) for the period 11/
01/23-06/30/24 is 42 + 20 = 62.00 FTEs.
     FTE resident limit: The merged provider's IME combined IME 
cap is 40 + 25 = 65 FTEs, which is greater than the actual IME count of 
62. Accordingly, the provider's effective IME resident count for the 
post-merger period is 62.00 FTEs.
     Rolling average FTE count: To determine a representative 
three-year rolling average for the post-merger timeframe, we must treat 
Hospitals A and B as though they had been merged during their preceding 
two cost reporting periods. Accordingly, the prior-year FTE count used 
in the rolling average calculation is equal to the combined prior-year 
FTE counts of the two hospitals: 40 + 21.5 = 61.50 FTEs; and the 
penultimate-year FTE count is equal to: 39 + 19.25 = 58.25 FTEs. The 
rolling average therefore equals: (62 + 61.5 + 58.25) / 3 = 60.58 FTEs.
     IRB ratio: The unadjusted IRB ratio for the post-merger 
period is equal to the rolling average FTE count divided by the total 
count of available beds at both hospitals: 60.58 / (300 + 250) = 0.11.
     IRB ratio cap: The IRB ratio cap is equal to the combined 
prior year IME FTE count (subject to the combined cap but before 
application of the rolling average) divided by the total count of 
available beds: (40 + 21.5) / (300 + 250) = 0.112, which is greater 
than the actual IRB ratio of 0.11. Accordingly, the merged provider's 
effective IRB ratio for the post-merger period is 0.11.
     DRG revenue: The merged provider's total Part A DRG 
revenue during the post-merger period is $30,625,000 + $25,375,000 = 
$56,000,000, and its simulated managed care DRG revenue (based on 
shadow claims submitted during the same period) is $10,125,000 + 
$13,750,000 = $23,875,000.
    Based on the data noted previously, the IME teaching adjustment 
factor for the merged provider during the post-merger period 11/01/23-
06/30/24 equals: 1.35 x ((1 + 0.11)0.405-1) = 0.058. Accordingly, the 
provider's total IME payment amounts during this period are:
     Part A IME: 0.058 x $56,000,000 = $3,248,000.
     Managed care (MA) IME: 0.058 x $23,875,000 = $1,384,750.
    Thus, the provider's total IME payment for the post-merger period 
is: $3,248,000 + $1,384,750 = $4,632,750.
Subsequent Cost Reporting Periods (FYEs June 30, 2025, and June 30, 
2026)
    Total IME payments for subsequent cost reporting periods are based 
on the provider's merged IME payment rates and calculated according to 
the usual procedures. However, during the first cost reporting period 
following the merger (that is, FYE 06/30/25), the IRB ratio cap must be 
calculated as though the hospitals had been merged for the entirety of 
their prior cost reporting periods. In addition, as for direct GME, 
during the first two cost reporting periods following the merger (that 
is, FYE 06/30/25 and FYE 06/30/26), the rolling average must be 
calculated as though the hospitals had been merged for the entirety of 
their prior- and penultimate-year cost reporting periods. This ensures 
that both the IRB ratio cap and the rolling average are representative 
of the training that occurs at the post-merger entity. (Note that this 
procedure applies whether the merger occurs in the middle of the 
surviving provider's cost reporting period, as in this example, or 
coincides with the start of a new cost reporting period.)
    Accordingly, in this example, the IRB ratio cap for the merged 
provider's cost reporting period ending June 30, 2025, would be 
determined as follows:
     Prior-year numerator: The prior cost reporting periods of 
Hospitals A and B are those ending on June 30, 2024, and October 31, 
2023, respectively, and the prior-year FTE count is equal to the 
hospitals' combined IME FTE counts, determined based on data from the 
respective cost reports, consistent with the instructions to line 20 of 
Worksheet E, Part A. (Note that Hospital B's FYE 10/31/23 is its short 
terminating cost reporting period that began January 1, 2023.) Based on 
the data from the applicable cost reports, and as shown in the table, 
Hospital A's individual FTE count (subject to the cap but before 
application of the rolling average) during FYE 06/30/24 is 40 FTEs, 
while Hospital's B's individual FTE count (subject to the cap but 
before application of the rolling average) during FYE 10/31/23 is 20 
FTEs.\119\ Accordingly, the combined prior year numerator is equal to 
40 + 20 = 60.00 FTEs.
---------------------------------------------------------------------------

    \119\ I.e., the lesser of each hospital's IME FTE cap or actual 
IME FTE count, plus any podiatric and dental FTEs (not applicable to 
this example), during the respective periods. In this example, 
Hospital A's prior year numerator would be equal to the placeholder 
value reported on line 12 of Worksheet E, Part A, of its FYE 06/30/
2024 cost report; while Hospital B's prior year numerator would be 
equal to the value reported on line 12 of Worksheet E, Part A, of 
its FYE 10/31/2023 cost report.
---------------------------------------------------------------------------

     Prior-year denominator: As shown in the table, the 
hospitals' total available bed count during their prior cost reporting 
periods is equal to 300 + 250 = 550 beds.
    Thus, the IRB ratio cap for the merged provider during this period 
is: 60 / 550 = 0.11. Beginning with the provider's FYE 06/30/2026 cost 
report, the IRB ratio cap would be calculated in accordance with normal 
procedure.
    For a demonstration of how to calculate the rolling average for the 
cost reporting periods ending on June 30, 2025, and June 30, 2026, 
refer to the direct GME example earlier in this preamble. Beginning 
with the provider's FYE 06/30/2027 cost report, the rolling average 
would be calculated in accordance with normal procedure.

[[Page 19518]]

5. Notice of Closure of Teaching Hospitals and Opportunity To Apply for 
Available Slots
a. Background
    Section 5506 of the Patient Protection and Affordable Care Act 
(Pub. L. 111-148), as amended by the Health Care and Education 
Reconciliation Act of 2010 (Pub. L. 111-152) (collectively, 
``Affordable Care Act''), authorizes the Secretary to redistribute 
residency slots after a hospital that trained residents in an approved 
medical residency program closes. Section 5506 of the Affordable Care 
Act instructs the Secretary to establish a process by regulation that 
redistributes slots from teaching hospitals that close to hospitals 
that meet certain criteria, with priority given to certain hospitals 
including those located in the same Core Based Statistical Area (CBSA), 
in a contiguous CBSA or in the same state as the closed hospital.
    Specifically, section 5506 of the Affordable Care Act amended the 
Act by adding subsection (vi) to section 1886(h)(4)(H) of the Act and 
modifying language at section 1886(d)(5)(B)(v) of the Act, to instruct 
the Secretary to establish a process to increase the FTE resident caps 
for other hospitals based upon the full-time equivalent (FTE) resident 
caps in teaching hospitals that closed on or after a date that is 2 
years before the date of enactment (that is, March 23, 2008). In the CY 
2011 Outpatient Prospective Payment System (OPPS) final rule with 
comment period (75 FR 72264), we established regulations at 42 CFR 
413.79(o) and an application process for qualifying hospitals to apply 
to CMS to receive direct GME and IME FTE resident cap slots from the 
hospital that closed. We made certain additional modifications to Sec.  
413.79 in the FY 2013 IPPS/LTCH PPS final rule (77 FR 53434), and we 
made changes to the section 5506 application process in the FY 2015 
IPPS/LTCH PPS final rule (79 FR 50122 through 50134). The procedures we 
established apply both to teaching hospitals that closed on or after 
March 23, 2008, and on or before August 3, 2010, and to teaching 
hospitals that close after August 3, 2010 (75 FR 72215).
b. Notice of Closure of Delaware County Memorial Hospital Located in 
Drexel Hill, PA, and the Application Process--Round 27
    CMS has learned of the closure of Delaware County Memorial 
Hospital, located in Drexel Hill, PA (CCN 390081). Accordingly, this 
notice serves to notify the public of the closure of this teaching 
hospital and initiate another round (``Round 27'') of the application 
and selection process. This round will be the 27th round (``Round 27'') 
of the application and selection process. The table in this section of 
this rule contains the identifying information and IME and direct GME 
FTE resident caps for the closed teaching hospital, which are part of 
the Round 27 application process under section 5506 of the Affordable 
Care Act.
[GRAPHIC] [TIFF OMITTED] TP14AP26.131

c. Notice of Closure of Crozer-Chester Medical Center Located in 
Chester, PA, and the Application Process--Round 28
    CMS has learned of the closure of Crozer-Chester Medical Center, 
located in Chester, PA (CCN 390180). Accordingly, this notice serves to 
notify the public of the closure of this teaching hospital and initiate 
another round (``Round 28'') of the application and selection process. 
This round will be the 28th round (``Round 28'') of the application and 
selection process. The table in this section of this rule contains the 
identifying information and IME and direct GME FTE resident caps for 
the closed teaching hospital, which are part of the Round 28 
application process under section 5506 of the Affordable Care Act.
[GRAPHIC] [TIFF OMITTED] TP14AP26.132

d. Application Process for Available Resident Slots
    The application period for hospitals to apply for slots under 
section 5506 of the Affordable Care Act is 90 days following notice to 
the public of a hospital closure (77 FR 53436). Therefore, hospitals 
that wish to apply for and receive slots from the previously noted 
hospitals' FTE resident caps must submit applications using the 
electronic application intake system, Medicare Electronic Application 
Request Information SystemTM (MEARISTM), with 
application submissions for Round

[[Page 19519]]

27 and 28 due no later than [insert date 90 days from date of filing 
for public inspection]. The Section 5506 application can be accessed 
at: https://mearis.cms.gov/public/home.
    CMS will only accept Round 27 and 28 applications submitted via 
MEARISTM. Applications submitted through any other method 
will not be considered. Within MEARISTM, we have built in 
several resources to support applicants:
     Please refer to the ``Resources'' section for guidance 
regarding the application submission process at: https://mearis.cms.gov/public/resources.
     Technical support is available under ``Useful Links'' at 
the bottom of the MEARISTM web page.
     Application related questions can be submitted to CMS 
using the form available under ``Contact'' at: https://mearis.cms.gov/public/resources.
    Application submission through MEARISTM will not only 
help CMS track applications and streamline the review process, but it 
will also create efficiencies for applicants when compared to a paper 
submission process.
    We have not established a deadline by when CMS will issue the final 
determinations to hospitals that receive slots under section 5506 of 
the Affordable Care Act. However, we review all applications received 
by the application deadline and notify applicants of our determinations 
as soon as possible.
    We refer readers to the CMS Direct Graduate Medical Education 
(DGME) website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/direct-graduate-medical-education-dgme. Hospitals should access this website for a list of additional 
section 5506 guidelines for the policy and procedures for applying for 
slots, and the redistribution of the slots under sections 
1886(h)(4)(H)(vi) and 1886(d)(5)(B)(v) of the Act.

G. Reasonable Cost Payment for Nursing and Allied Health Education 
Programs (Sec.  413.85 and Sec.  413.87)

1. General
    Under section 1861(v) of the Act, Medicare has historically paid 
providers for Medicare's share of the costs that providers incur in 
connection with approved educational activities. The costs of these 
activities are excluded from the definition of ``inpatient hospital 
operating costs'' and are not included in the calculation of payment 
rates for hospitals or hospital units paid under the IPPS, IRF PPS, or 
IPF PPS, and are excluded from the rate-of-increase ceiling for certain 
facilities not paid on a PPS. These costs are separately identified and 
``passed through'' (that is, paid separately on a reasonable cost 
basis).
    Under the existing regulations at 42 CFR 413.85, approved nursing 
and allied health (NAH) education programs must meet State licensure 
requirements or be accredited by a recognized national professional 
organization. Additionally, an approved NAH education program must be 
operated by a provider. The most recent substantive rulemakings on 
these regulations were in the January 12, 2001, final rule (66 FR 3358 
through 3374), and in the August 1, 2003, final rule (68 FR 45423 and 
45434).
2. Medicare Advantage Nursing and Allied Health Education Payments
    Section 541 of the Balanced Budget Refinement Act (BBRA) of 1999 
(codified at section 1886(l) of the Act) provides for additional 
payments to hospitals for costs of nursing and allied health education 
associated with services to Medicare+Choice (now called Medicare 
Advantage (MA)) \120\ enrollees. Hospitals that operate approved 
nursing or allied health education programs and receive Medicare 
reasonable cost reimbursement for these programs may receive additional 
payments to account for MA enrollees. Section 541 of the BBRA limits 
total spending under the provision for MA enrollees to no more than $60 
million in any calendar year (CY). (In this document, we refer to the 
total amount of $60 million or less as the payment ``pool''. We also 
note that section 4143 of Pub. L. 117-328 waived the $60 million limit 
for calendar years 2010 through 2019: see the August 28, 2023 Federal 
Register at 88 FR 59058.) Section 541 of the BBRA also provides that 
direct graduate medical education (GME) payments for Medicare+Choice 
(now MA) utilization be reduced to the extent that these additional 
payments are made for nursing and allied health education programs. The 
provisions of section 541 are effective for portions of cost reporting 
periods occurring in a calendar year, on or after January 1, 2000.
---------------------------------------------------------------------------

    \120\ The M+C program in Part C of Medicare was renamed the 
Medicare Advantage (MA) Program under the Medicare Prescription 
Drug, Improvement, and Modernization Act of 2003 (MMA), which was 
enacted in December 2003.
---------------------------------------------------------------------------

    Section 512 of the Benefits Improvement and Protection Act (BIPA) 
of 2000 changed the formula for determining the additional amounts to 
be paid to hospitals for Medicare+Choice (now MA) nursing and allied 
health costs. Under section 541 of the BBRA, the additional payment 
amount was determined based on the proportion of each individual 
hospital's nursing and allied health education payment to total nursing 
and allied health education payments made to all hospitals. However, 
this formula did not account for a hospital's specific Medicare+Choice 
(now MA) utilization. Section 512 of the BIPA revised this payment 
formula to specifically account for each hospital's Medicare+Choice 
(now MA) utilization. This provision was effective for portions of cost 
reporting periods occurring in a calendar year, beginning with CY 2001.
    The regulations at 42 CFR 413.87 implement these statutory 
provisions. We first implemented the BBRA NAH Medicare+Choice (now MA) 
provision in the August 1, 2000, IPPS interim final rule with comment 
period (IFC) (65 FR 47036 through 47039), and subsequently implemented 
the BIPA provision in the August 1, 2001 IPPS final rule (66 FR 39909 
and 39910). In those rules, we outlined the qualifying conditions for a 
hospital to receive the NAH Medicare+Choice (now MA) payment, how we 
would calculate the NAH Medicare+Choice (now MA) payment pool, and how 
a qualifying hospital would calculate its ``share'' of payment from 
that pool. Determining a hospital's NAH MA payment essentially involves 
applying a ratio of the hospital-specific NAH Part A payments, total 
inpatient days, and MA inpatient days, to national totals of those same 
variables, from cost reporting periods ending in the fiscal year that 
is 2 years prior to the current calendar year. The formula is as 
follows:

(((Hospital NAH pass-through payment/Hospital Part A Inpatient Days) * 
(Hospital MA Inpatient Days))
divided by
((National NAH pass-through payment/National Part A Inpatient Days) * 
(National MA Inpatient Days))) * Current Year Payment Pool.

    With regard to determining the total national amounts for NAH pass-
through payment, Part A inpatient days, and MA inpatient days, we note 
that section 1886(l) of the Act, as added by section 541 of the BBRA, 
gives the Secretary the discretion to ``estimate'' the national 
components of the formula noted previously. For example, section 
1886(l)(2)(A) of the Act states that the Secretary shall estimate the 
ratio of payments for all hospitals for portions of cost reporting 
periods occurring in the year under section 1886(h)(3)(D) of

[[Page 19520]]

the Act to total direct GME payments estimated for the same portions of 
periods under section 1886(h)(3) of the Act.
    Accordingly, we stated in the August 1, 2000, IFC (65 FR 47038) 
that each year, we would determine and publish in a final rule the 
total amount of nursing and allied health education payments made 
across all hospitals during the fiscal year 2 years prior to the 
current calendar year. We would use the best available cost reporting 
data for the applicable hospitals from the Hospital Cost Report 
Information System (HCRIS) for cost reporting periods in the fiscal 
year that is 2 years prior to the current calendar year.
    To calculate the pool, in accordance with section 1886(l) of the 
Act, we stated that we would ``estimate'' a total amount for each 
calendar year, not to exceed $60 million (65 FR 47038). To calculate 
the proportional reduction to Medicare+Choice (now MA) direct GME 
payments, we stated that the percentage is estimated by calculating the 
ratio of the Medicare+Choice nursing and allied health payment ``pool'' 
for the current calendar year to the projected total Medicare+Choice 
direct GME payments made across all hospitals for the current calendar 
year. We stated that the projections of Medicare+Choice direct GME and 
Part A direct GME payments are based on the best available cost report 
data from the HCRIS (for example, for CY 2000, the projections are 
based on the best available cost report data from FY 1998 HCRIS), and 
these payment amounts are increased using the increases allowed by 
section 1886(h) of the Act for these services (using the percentage 
applicable for the current calendar year for Medicare+Choice direct GME 
and the Consumer Price Index (CPI-U) increases for Part A direct GME). 
We also stated that we would publish the applicable percentage 
reduction each year in the IPPS proposed and final rules (65 FR 47038).
    Thus, in the August 1, 2000, IFC, we described our policy regarding 
the timing and source of the national data components for the NAH 
Medicare+Choice (now MA) add-on payment and the percent reduction to 
the direct GME Medicare+Choice payments, and we stated that we would 
publish the rates for each calendar year in the IPPS proposed and final 
rules. While the rates for CY 2000 were published in the August 1, 
2000, IFC (see 65 FR 47038 and 47039), the rates for subsequent CYs 
were only issued through Change Requests (CRs) (CR 2692, CR 11642, CR 
12407). After recent issuance of the CY 2019 rates in CR 12407 on 
August 19, 2021, we reviewed our update procedures, and were reminded 
that the August 1, 2000, IFC states that we would publish the NAH 
Medicare+Choice (now MA) rates and direct GME percent reduction every 
year in the IPPS rules. Accordingly, for CY 2020 and CY 2021, we 
proposed and finalized the NAH MA add-on rates in the FY 2023 IPPS/LTCH 
PPS proposed and final rules. We stated that for CYs 2022 and after, we 
would similarly propose and finalize the respective NAH MA rates and 
direct GME percent reductions in subsequent IPPS/LTCH PPS rulemakings 
(see 87 FR 49073, August 10, 2022).
    In this FY 2027 IPPS/LTCH PPS proposed rule, we proposed the rates 
for CY 2025. Consistent with the use of HCRIS data for past calendar 
years, we are proposing to use data from cost reports ending in FY 2023 
HCRIS (the fiscal year that is 2 years prior to CY 2025) to compile 
these national amounts: NAH pass-through payment, Part A Inpatient 
Days, MA Inpatient Days.
    For this proposed rule, we accessed the FY 2023 HCRIS data from the 
third quarterly HCRIS update of 2025. However, to calculate the 
``pool'' and the direct GME MA percent reduction, we ``project'' Part A 
direct GME payments and MA direct GME payments for the current calendar 
year, which in this proposed rule is CY 2025, based on the ``best 
available cost report data from the HCRIS'' (65 FR 47038). Next, 
consistent with the method we described previously in the August 1, 
2000, IFC, we increase these payment amounts from midpoint to midpoint 
of the appropriate calendar year using the increases allowed by section 
1886(h) of the Act for these services (using the percentage applicable 
for the current calendar year for MA direct GME, and the Consumer Price 
Index-Urban (CPI-U) increases for Part A direct GME). For CY 2025, the 
direct GME projections are based on the third quarterly update of CY 
2023 HCRIS, adjusted for the CPI-U and for increasing MA enrollment.
    For CY 2025, the proposed national rates and percentages, and their 
data sources, are set forth in this table. We intend to update these 
numbers in the FY 2027 final rule based on the latest available cost 
report data.
[GRAPHIC] [TIFF OMITTED] TP14AP26.133

3. Proposed Requirements To Prohibit Unlawful Discrimination in 
Approved Nursing and Allied Health Education Programs and Accreditation 
Standards
    Hospitals may receive nursing and allied health education pass-
through payments for costs incurred in connection with approved 
programs. The statute does not explicitly define ``approved programs'' 
for purposes of NAH education payments. Instead, section 1886(l)(1) of 
the Act refers to ``approved educational activities for nurse and 
allied health professional training''. Under the existing regulations 
at Sec.  413.85(e), CMS considers an activity to be an ``approved 
nursing and allied health education program'' if the program is a 
planned program of study that is licensed by State law, or if licensing 
is not required, is accredited by the recognized national professional 
organization for the particular activity. The regulations note that 
such national accrediting bodies include, but are not limited to, the 
Commission on Accreditation of Allied Health Education Programs, the 
National League of Nursing Accrediting Commission, the Association for 
Clinical Pastoral Education Inc., and the American Dietetic 
Association.
    In the CY 2026 OPPS/ASC final rule (90 FR 54024 through 54027), we 
finalized changes to the definition of ``approved medical residency 
program'' and equivalent terms, to state that accrediting organizations 
may not use accreditation criteria that promote or encourage 
discrimination on the basis of race, color, national origin, sex, age,

[[Page 19521]]

disability, or religion, including the use of those characteristics or 
intentional proxies for those characteristics as a selection criterion 
for employment, program participation, resource allocation, or similar 
activities, opportunities, or benefits. Our intent in finalizing this 
policy was to ensure that accreditation for approved medical residency 
programs would be in compliance with applicable laws related to race-
based admission policies and to improve the accreditation process. In 
this proposed rule, we are proposing a similar policy that would apply 
to approved medical residency programs themselves. For further details 
on these existing and proposed policies, we refer readers to the CY 
2026 OPPS/ASC final rule and to section V.F.2. of this proposed rule, 
respectively.
    We believe that similar concerns related to unlawful and 
discriminatory accreditation standards and program requirements also 
apply to approved nursing and allied health education programs. 
Therefore, we are proposing to require that, in addition to meeting 
other applicable requirements, individual NAH education programs and 
NAH accrediting bodies must not discriminate, or promote or encourage 
discrimination, on the basis of race, color, national origin, sex, age, 
disability, or religion, including the use of those characteristics or 
intentional proxies for those characteristics as a selection criterion 
for employment, program participation, resource allocation, or similar 
activities, opportunities, or benefits. These policies would be 
effective October 1, 2026, and would be codified under proposed new 42 
CFR 413.84, which would be cross-referenced as necessary by the 
regulations at Sec.  413.85.
    Separately, we propose to remove from Sec.  413.85(e) the language 
specifying individual accrediting organizations of nursing and allied 
health education programs. In the January 12, 2001 Federal Register (66 
FR 3365 through 3366), we eliminated the list of nursing and allied 
health specialty programs and respective accrediting bodies at Sec.  
413.85(e) and instead established the general requirement that an 
approved NAH program must be a planned program of study that is 
licensed by State law, or if licensing is not required, is accredited 
by the recognized national professional organization for the particular 
activity. Nevertheless, we continued to provide examples of recognized 
accrediting bodies in the regulations text, specifically, the 
Commission on Accreditation of Allied Health Education Programs, the 
National League of Nursing Accrediting Commission, the Association for 
Clinical Pastoral Education Inc., and the American Dietetic 
Association. While it is our understanding that these organizations 
continue to accredit programs in their respective specialties, we no 
longer believe it is useful to reference a limited number of specific 
accreditors in the regulations, given the evolving nature of the field 
and the large number of additional accrediting bodies active across 
various disciplines.
4. Proposed Changes to the Regulations for Determining the Net Cost of 
Nursing and Allied Health Education Programs and Clarifications 
Regarding the Correct Allocation of Overhead Costs
a. Overview of Existing Regulations and Cost Report Instructions
    In the January 12, 2001, final rule (66 FR 3358) ``Medicare 
Program; Payment for Nursing and Allied Health Education'', we codified 
the payment regulations regarding NAH education program costs at 42 CFR 
413.85. With regard to determining the net costs that are allowed for 
``pass-through'' payment, Sec.  413.85(d)(2)(i) states that the net 
cost of approved educational activities is determined by deducting the 
revenues that a provider receives from tuition and student fees from 
the provider's total allowable educational costs that are directly 
related to approved educational activities. Section 413.85(d)(2)(ii) 
further states that a provider's total allowable educational costs are 
those costs incurred by the provider for trainee stipends, compensation 
of teachers, and other costs of the activities as determined under the 
Medicare cost-finding principles in Sec.  413.24. These costs do not 
include patient care costs, costs incurred by a related organization, 
or costs that constitute a redistribution of costs from an educational 
institution to a provider or costs that have been or are currently 
being provided through community support. Worksheet A of the Medicare 
cost report captures the direct costs associated with a hospital's 
various cost centers, including its NAH education programs. The direct 
costs associated with operating a hospital's approved NAH education 
programs are reported on Worksheet A, line 20 (nursing programs) and 
line 23 (paramedical/allied health education programs). The 
instructions to these lines state--
    Lines 20 and 23--If you have an approved nursing or allied health 
education program that meets the criteria of 42 CFR 413.85(e), 
classroom and clinical portions of the costs may be allowable as pass-
through costs as defined in 42 CFR 413.85(d)(2). (CMS Pub. 15-2, 
section 4013.)
    In addition to direct costs, hospitals also incur indirect or 
overhead costs associated with their operations. Overhead costs are 
assigned to the general service cost centers on lines 1 through 23 of 
Worksheet A, which are a hospital's non-patient care/non-revenue 
producing cost centers, and which include the administrative & general 
(A&G) cost center on line 5. The general cost report instructions for 
Worksheet A state--
    Lines 1 through 23--These lines are for the general service cost 
centers. These costs are expenses incurred in operating the facility as 
a whole that are not directly associated with furnishing patient care 
such as, but not limited to mortgage, rent, plant operations, 
administrative salaries, utilities, telephone charges, computer 
hardware and software costs, etc. General service cost centers provide 
services to both general service areas and to other cost centers in the 
provider. (CMS Pub. 15-2, section 4013; emphasis added.)
    Because the costs of operating a hospital's NAH education programs 
are not directly associated with furnishing patient care, these cost 
centers are also included among the general service cost centers on 
Worksheet A. As noted in the cost report instructions cited previously, 
general service cost centers may furnish services to other general 
service areas. Thus, for example, a hospital's Administrative and 
General cost center may furnish services to its Nursing and Allied 
Health Education cost centers.
    The regulations and cost report instructions require that, prior to 
allocating overhead costs to the revenue producing cost centers, a 
provider must make appropriate reclassifications and adjustments to its 
direct costs. Worksheet A-6 is used to reclassify costs between cost 
centers on the cost report, while Worksheet A-8 is used to adjust both 
revenue and non-revenue producing cost centers for (1) expenses to 
reflect actual expenses incurred; (2) those items which constitute 
recovery of expenses through sales, charges, fees, etc.; (3) expenses 
in accordance with the Medicare principles of reimbursement; and (4) 
those items which are provided for separately in the cost apportionment 
process. (CMS Pub. 15-2, section 4016.)
    Adjustments, including the recovery of expenses through various 
forms of revenue, occur prior to cost finding, which is the process by 
which indirect costs (that is, the costs of the general service cost 
centers) are allocated to other cost centers (both other general 
service cost centers and revenue producing cost centers). Worksheets B,

[[Page 19522]]

Part I, and B-1 have been designed to accommodate the stepdown method 
of cost finding described at 42 CFR 413.24(d)(1). Certain other cost 
adjustments, referred to as post-stepdown adjustments, occur after the 
allocation of indirect and overhead costs and are reported separately 
on Worksheet B-2.
    On November 17, 2017, CMS issued Transmittal 12, which contained 
clarifications to the hospital cost report instructions at CMS-2552-10, 
Pub. 15-2, chapter 40. Transmittal 12 added the following clarification 
to line 19 of Worksheet A-8:
    Line 19--For each NAHE program on Worksheet A, line 20, and its 
subscripts, and Worksheet A, line 23, and its subscripts, enter the 
revenue adjustments (for tuition, fees, books, etc.) to be applied 
against total allowable costs that are directly related to the approved 
NAHE activities. Subscript this line to separately report the revenue 
offset for each NAHE program reported on line 20 and line 23 [and their 
subscripts]. (CMS Pub. 15-2, section 4016.)
    Transmittal 12 also added to Worksheet B-2 specific instructions 
for post-stepdown adjustments for certain costs associated with NAHE 
nonprovider-operated programs under 42 CFR 413.85(g)(2), with the 
following note:

    Note:  Do not use this worksheet to reduce the total allowable 
costs that are directly related to the NAHE programs by the revenue 
received from tuition and student fees. Use Worksheet A-8 to offset 
NAHE program costs by tuition and student fees (42 CFR 
413.85(d)(2)(i)). Do not use a post step-down adjustment. (CMS Pub. 
15-2, section 4022.)

    In issuing these cost report clarifications in Transmittal 12, CMS 
was clarifying the rules regarding the appropriate order of operations 
for assigning costs and allocating overhead to the NAH education pass-
through cost centers. Specifically, Transmittal 12 made it clear that 
adjustments to the direct costs of NAH education programs as a result 
of revenue received from tuition, student fees and other sources should 
occur on Worksheet A-8, prior to the allocation of overhead costs, and 
not as post-stepdown adjustments on Worksheet B-2.
b. Recent Litigation and Rulemaking Activity
    On February 9, 2024, the U.S. District Court for the District of 
Columbia (DC) issued a decision involving five plaintiff hospitals 
(Mercy Health-St. Vincent Medical Center LLC d/b/a Mercy St. Vincent 
Medical Center v. Becerra, 717 F. Supp. 3d 33 (D.D.C. 2024)). The 
providers disputed the order of operations for determining ``net 
costs'' of approved educational activities under 42 CFR 
413.85(d)(2)(i). The providers disagreed with the clarified 
instructions in Transmittal 12, and argued that the offsets for revenue 
from tuition and student fees should be made after indirect costs are 
allocated, using Worksheet B-2, which follows the allocation of 
indirect costs on Worksheet B, Part I. According to the providers, the 
regulations require that indirect costs be included as part of a 
provider's total allowable educational costs before tuition and student 
fees are offset, and the clarification of the cost reporting 
instructions in 2017 was a change in policy that conflicts with the 
regulations. The court sided with the providers, holding that the plain 
text of 42 CFR 413.85(d)(2)(i) is consistent with the providers' 
interpretation of the order of operations.
    In the FY 2026 IPPS proposed rule (90 FR 18280 through 18282), we 
proposed to revise 42 CFR 413.85(d)(2)(i) to define the net cost of 
approved educational activities in a manner consistent with the cost 
reporting clarifications in Transmittal 12. Specifically, we proposed 
that revenues from tuition, student fees and other sources should be 
subtracted from the allowable direct costs of a provider's NAH 
education programs prior to the allocation of overhead costs. We also 
clarified that, in order to mitigate the reduction in overhead costs 
that might result from this procedure, a provider could seek permission 
from its MAC to utilize a statistical basis other than accumulated cost 
for the purpose of allocating indirect costs to its nursing and allied 
health cost centers. More specifically, we explained that a provider 
may elect to subscript its administrative and general cost center (line 
5 of Worksheet A) for overhead costs directly related to its NAH 
programs and employ a statistical basis other than accumulated cost 
that would accurately reflect the services rendered to those 
departments. In addition, we stated that the proposed order of 
operations to offset revenue from direct costs on Worksheet A-8 would 
be consistent with the policy that A&G costs allocated to the NAH cost 
centers must be directly related to the operation of specific approved 
programs, as finalized in the January 12, 2001 Federal Register (66 FR 
3367).
    We received many comments in opposition to our proposal to 
determine the net cost of approved nursing and allied health education 
programs by deducting tuition and other revenue from direct costs prior 
to the allocation of indirect costs. Commenters objected that the 
proposed policy would be inconsistent with general cost-finding 
principles and would result in the NAH cost centers receiving less than 
their share of institutional overhead. Due to the number and nature of 
the comments we received, we decided not to finalize changes to our 
existing policy in the FY 2026 IPPS final rule (90 FR 36921). Instead, 
we stated that we expected to revisit the treatment of NAH education 
costs in future rulemaking.
    After considering the feedback we received on our earlier proposal, 
we continue to believe, for the reasons stated below, that correct 
accounting procedures require the deduction of tuition and other 
revenue from the direct costs of a provider's approved educational 
activities on Worksheet A-8, prior to the allocation of overhead, 
consistent with the clarifications contained in Transmittal 12. 
However, we acknowledge that it would be helpful to provide additional 
technical context to explain how the proposed order of operations is 
consistent with general Medicare cost-finding principles. We are also 
modifying our original proposal to ensure that the deduction of revenue 
on Worksheet A-8 does not inappropriately reduce the allocation of 
overhead to the NAH cost centers when hospitals allocate administrative 
and general costs using accumulated cost as the default statistical 
basis.
    In addition, we recognize that some portions of our discussion in 
the FY 2026 proposed rule may have caused confusion about our existing 
policies regarding allowable indirect costs of approved nursing and 
allied health education programs. In particular, some commenters 
believed that we had defined allowable indirect costs in such a way as 
to essentially preclude the recognition of overhead for purposes of NAH 
pass-through payment. Therefore, in this proposed rule, we are also 
proposing to clarify the nature of allowable indirect costs of approved 
educational activities and to refine the cost reporting procedures to 
ensure that hospitals appropriately allocate overhead costs to the NAH 
cost centers.
c. Determination of Net Cost of Approved Nursing and Allied Health 
Education Activities (Sec. Sec.  413.85(d)(2)(i) and (ii))
    We are proposing to change the regulations text at 42 CFR 
413.85(d)(2)(i) and (ii) to state that the net cost of approved 
educational activities is determined by taking the allowable direct 
costs incurred by the provider for trainee stipends and compensation of 
faculty employed by the provider, and

[[Page 19523]]

subtracting from those direct costs the revenues the provider receives 
from students or on behalf of students enrolled in the program, such 
as, but not limited to, tuition, student fees, or textbooks purchased 
for resale. After subtracting revenues from allowable direct costs, 
indirect costs would be allocated to the nursing and allied health cost 
centers (limited to those costs that the provider itself incurs in 
connection with the operation of its approved educational activities), 
consistent with Medicare cost-finding principles at 42 CFR 413.24. The 
effective date of this proposed change would be cost reporting periods 
beginning on or after October 1, 2026. We are not proposing changes to 
the existing portion of the regulations at Sec.  413.85(d)(2)(ii) 
stating that net NAH costs do not include patient care costs, costs 
incurred by a related organization, or costs that constitute a 
redistribution of costs from an educational institution to a provider 
or costs that have been or are currently being provided through 
community support. (We discuss our proposed clarification of allowable 
indirect costs of educational activities and the associated cost 
reporting procedures in the following subsection of this preamble.)
    As we stated in the FY 2026 proposed rule (90 FR 18281), we 
understand that it is not uncommon for a provider's allowable nursing 
and allied health education programs to generate revenues from tuition, 
student fees and other sources that exceed the allowable direct costs 
the provider incurs for those programs. Because of that, the revenue 
offset on Worksheet A-8 might result in a zero or negative balance 
prior to the allocation of overhead costs; on Worksheet B-1, the 
accumulated cost statistic, which serves as the recommended statistical 
basis for allocating administrative and general costs, would 
consequently also be reduced to zero. Even if the provider were to 
componentize their administrative and general cost center (consistent 
with the procedures proposed below), certain components might continue 
to be allocated on the basis of accumulated cost, limiting the amount 
of A&G allocated to the provider's NAH cost centers, regardless of the 
extent to which those cost centers benefit from the hospital's 
administrative functions.
    In order to ensure that the deduction of revenue on Worksheet A-8 
does not understate the administrative and general costs allocated to 
the NAH cost centers, we are proposing the following modifications to 
the procedures for offsetting revenue and computing the accumulated 
cost statistic. First, we are proposing that providers offset the total 
revenue generated by each NAH program, which may result in a credit 
balance (negative amount) on the corresponding line(s) of Worksheet A. 
Next, we propose that providers utilize the reconciliation column on 
Worksheet B-1 to adjust the accumulated cost statistic by the total 
amount of NAH revenue offset on Worksheet A-8, effectively reversing 
that offset for purposes of overhead allocation only.
    The following example illustrates the application of this procedure 
in the event that total revenues from tuition and other sources exceed 
the direct costs that the provider incurs for a particular NAH program. 
(Note, the same procedure would be followed if total revenues do not 
exceed direct costs.)
     Suppose that Hospital A incurs $1,000,000 in direct costs 
for an allied health education program; Hospital A reports $1,000,000 
on line 23, column 5, of Worksheet A, which represents the direct costs 
of the program prior to any adjustments.
     Hospital A receives $1,200,000 in tuition and fees from 
students enrolled in the program; Hospital A reports a revenue 
adjustment of $1,200,000 on line 19, column 2, of Worksheet A-8, 
representing a recovery of expenses associated with that program.
     The revenue adjustment of $1,200,000 carries over to line 
23, column 6, of Worksheet A. This results in a negative expense of 
($200,000) ($1,000,000 minus $1,200,000 equals ($200,000)) on line 23, 
column 7. Assume for purposes of this example that there are no further 
adjustments (positive or negative) to Hospital A's direct NAH costs.
     On Worksheet B-1, the hospital then utilizes the 
reconciliation column (line 23, column 5A) to increase the accumulated 
cost statistic by the amount of revenue offset previously, $1,200,000. 
(Note: in the cost report software, the provider must ensure to 
indicate ``override with value'' and check to add this value to the 
existing accumulated cost from Worksheet B, Part I, line 23, column 
4A.)
     The accumulated cost statistic for purposes of allocating 
A&G on Worksheet B, Part I, will be equal to the adjusted expense on 
Worksheet A, column 7, line 23, plus the amount of revenue from tuition 
and fees deducted on Worksheet A-8, plus any amounts already allocated 
to the NAH cost center on Worksheet B, Part I, line 23, columns 1 
through 4.
     From this point, the stepdown process on Worksheet B, Part 
I, continues according to normal procedures. While the accumulated cost 
statistic will thus allocate an appropriate share of institutional 
overhead to the NAH cost center, the amount of NAH costs available for 
allocation on Worksheet B, Part I, line 23, column 23, will continue to 
reflect the revenue offset, ensuring that the unallowable costs are not 
allocated from NAH to the patient care cost centers.
    We emphasize that the deduction of tuition and other revenue on 
Worksheet A-8, prior to the allocation of indirect costs on Worksheet 
B, Part I, is consistent with general Medicare cost-finding principles 
as described in PRM 15-1, chapter 23, and the cost report instructions 
in PRM 15-2, chapter 40, and as codified in the regulations at 42 CFR 
413.24. The general service cost centers, including the NAH cost 
centers, represent a hospital's allowable non-patient care expenses, 
which are allocated to all the cost centers they serve via the stepdown 
method on Worksheet B, Part I. Once these expenses have been allocated 
to the patient care cost centers, Medicare's share of allowable costs 
is determined based on the hospital's Medicare utilization. It is 
therefore necessary to remove those costs that are not generally 
allowable to Medicare prior to the stepdown process. Such generally 
unallowable costs include indirect expenses that are recovered through 
related non-patient care revenue, as reported on lines 6 through 25 on 
Worksheet G-3 (including tuition on line 19). For example, interest 
expense and cafeteria expense are allowable general service non-patient 
care expenses; however, interest expense is reduced by investment 
income, and cafeteria expense is reduced by income from the sale of 
food and drink. Similarly, the tuition and other revenue received for a 
hospital's nursing and allied health education programs constitute non-
patient care revenues that must be used to offset (reduce) the related 
NAH program expense on Worksheet A-8, consistent with the handling of 
other non-patient care revenue as described above.
    We would also like to take the opportunity to address concerns 
raised in response to the FY 2026 proposed rule that the proposed order 
of operations for deducting tuition and other revenue would be 
inconsistent with our treatment of organ acquisition costs, which are 
also reimbursed on a pass-through basis. In contrast to the NAH cost 
centers, the organ acquisition cost centers are ancillary/revenue-
producing centers related to patient care. Revenue for organs sold to 
other

[[Page 19524]]

organ procurement organizations or transplant hospitals may only be 
used to reduce Medicare's share of costs for organs claimed as Medicare 
usable organs. Those costs are not determined until the full 
apportionment process on Worksheet D-4, after the allocation of 
indirect costs on Worksheet B, Part I. By contrast, NAH costs are 
general service (non-revenue-producing) costs that are not directly 
related to patient care and are reimbursed to the extent the costs 
incurred have not been recovered through tuition and other fees. Only 
the net cost that the hospital actually bears is allocated to other 
departments. Thus, adjustments for tuition and other NAH revenue must 
occur on Worksheet A-8, which modifies total costs, not Medicare's 
share of costs. (However, note that if there are generally non-
allowable costs included in an organ acquisition cost center, those 
costs would be removed on Worksheet A-8, prior to determining 
Medicare's share of costs.)
d. Identification of Allowable Indirect (Overhead) Costs of Approved 
Educational Activities
    The FY 2026 proposed rule included a discussion of the types of 
costs allowable for purposes of pass-through payment under 42 CFR 
413.85 (90 FR 18281 through 18282). That discussion referred to our 
longstanding nursing and allied health payment policies finalized in 
the January 12, 2001 Federal Register (66 FR 3367), in which we 
clarified the meaning of the term ``tuition'' and specified that 
``total costs'' include direct and indirect costs incurred by a 
provider that are directly attributable to the operation of an approved 
educational activity. We explained in the 2001 final rule that such 
costs do not include usual patient care costs that would be incurred in 
the absence of the educational activity, such as the salary costs for 
nursing supervisors who oversee the floor nurses and student nurses; 
moreover, these costs do not include costs incurred by a related 
organization.
    In the FY 2026 proposed rule, we observed that a significant 
portion of the indirect costs that certain hospitals allocate to their 
nursing and allied health cost centers include costs incurred by a 
related organization (such as a home office), in violation of the 
regulation at Sec.  413.85(d)(2)(ii),\121\ as well as administrative 
and general costs that may be incurred by the hospital but are not 
directly attributable to the operation of the hospital's NAH education 
programs. We stated that those A&G costs not directly incurred as a 
result of operating a hospital's NAH education programs are paid as 
normal operating costs under the IPPS (or other applicable hospital 
payment system) rather than on a pass-through basis. As examples of 
such costs, we listed costs that benefit the hospital as a whole and 
that would generally be incurred in the absence of a provider's NAH 
programs, such as Infection Control, Admissions, Patient Registration, 
Telecommunications, etc. We stated that it is therefore the provider's 
responsibility to request permission from its MAC to use an allocation 
method for overhead costs that accurately and appropriately reflects 
overhead costs incurred by the provider as a direct result of operating 
its NAH education programs.
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    \121\ In addition to the regulation under 413.85(d)(2)(ii), we 
note that under Sec.  413.85(f)(1)(i), the provider itself must 
directly incur the training costs in order for a program to be 
deemed provider-operated and thus eligible for pass-through payment. 
Accordingly, we caution related parties about incurring NAH training 
costs (including indirect costs), as that could jeopardize the 
provider's status as the operator of the program.
---------------------------------------------------------------------------

    We intended this discussion in the FY 2026 proposed rule to serve 
as a restatement and clarification of various elements of our existing 
NAH payment policies. Nevertheless, we received several comments 
objecting to our characterization of the allowable costs of educational 
activities. In particular, commenters alleged that we had defined 
allowable indirect costs in such a way as to effectively preclude the 
allocation of overhead to the NAH cost centers, by requiring that 
indirect costs be ``directly attributable'' to the operation of a 
provider's NAH education programs. One commenter also objected to our 
examples of unallowable indirect costs and specifically to our 
characterization of the salary costs of a nursing supervisor as ``usual 
patient care costs that would be incurred in the absence of the 
educational activity'' and that are thus not allowable for purposes of 
NAH pass-through payment. We are therefore taking this opportunity to 
further clarify our existing policies concerning the nature of 
allowable costs of nursing and allied health, as well as to propose 
specific procedures for correctly allocating those costs on the 
hospital cost report.
    First, we propose to clarify the meaning of the statement in the 
January 12, 2001, final rule that ``total costs'' include only ``direct 
and indirect costs incurred by a provider that are directly 
attributable to the operation of an approved educational activity.'' We 
note that these costs are explicitly contrasted with ``usual patient 
care costs that would be incurred in the absence of the educational 
activity, such as the salary costs for nursing supervisors who oversee 
the floor nurses and student nurses'' (66 FR 3367). With respect to the 
assignment of direct costs on Worksheet A, the purpose of this 
requirement is to distinguish between the costs of NAH educational 
activities engaged in by the hospital's nursing and allied health 
staff, which would not occur in the absence of a hospital's approved 
NAH programs and which are thus ``directly attributable'' to the 
operation of such programs, and the costs of usual patient care 
services, which may be furnished by some of the same staff members and 
which the hospital would incur even in the absence of its NAH programs.
    For example, a nursing supervisor who oversees floor nurses and 
student nurses may spend part of his or her time engaged in usual 
patient care activities, such as monitoring patient vital signs or 
directing the clinical activities of the floor nurses, and part of the 
time instructing students in the hospital's nursing program. A portion 
of the salary costs of the nursing supervisor would be considered 
direct costs of the nursing program, and the salary costs would thus be 
apportioned between the hospital's patient care and nursing education 
cost centers, based on the percentage of time the supervisor spent on 
each activity. This procedure is analogous to the apportionment of the 
salary costs of teaching physicians who spend part of their time 
supervising residents and part of their time providing clinical 
services to the hospital's patients.
    With respect to the allocation of indirect costs on Worksheet B, 
Part I, the requirement that such costs must be ``directly attributable 
to the operation of an approved educational activity'' does not 
categorically preclude the allocation of institutional overhead to the 
nursing and allied health cost centers. Rather, this requirement 
emphasizes the general principle that indirect costs allocated to a 
particular cost center must proportionately reflect the extent to which 
that department benefits from the hospital's various overhead 
functions. For example, if only certain staff in a hospital department 
work on administrative functions related to the NAH program, then only 
the salary costs of those particular staff, and not the costs of the 
entire department/cost center, should be allocated to the NAH cost 
centers, as only the salary costs of those particular staff are 
``directly attributable to the operation of an approved educational 
activity.'' We are clarifying that, if a hospital's nursing or

[[Page 19525]]

allied health education program benefits from a particular overhead 
function whose costs are incurred directly by the provider (rather than 
a related party), then the corresponding NAH cost center must only 
receive a proportional share of the indirect costs associated with that 
function, since the function may also provide a benefit to the 
hospital's other departments, and since the provider would have 
incurred costs for that function in the absence of its approved NAH 
programs. That is, the fact that hospital departments are complex and 
service multiple areas of the hospital necessitates a distinction 
between those costs that do and do not provide a benefit to a 
hospital's NAH programs, and the accurate apportionment of only those 
costs that provide a benefit to the NAH cost centers. Furthermore, we 
reiterate the policy finalized in the January 12, 2001, Federal 
Register that allowable costs do not include costs incurred by a 
related organization, such as a corporate home office.
    If a program does not derive a benefit from a particular overhead 
function, then it should not receive any of the indirect costs that the 
provider incurs for that function. In the FY 2026 proposed rule, we 
listed examples of several types of overhead, such as Infection 
Control, Admissions, Patient Registration, Telecommunications, etc., 
that we believe would usually not provide a benefit to hospitals' NAH 
education programs, and whose costs should therefore not be allocated 
to the NAH cost centers. However, we recognize that hospitals' 
operations vary and that different NAH programs may require different 
forms of administrative support, potentially including one or more of 
the functions enumerated in the FY 2026 proposed rule. As stated above, 
whether or not a particular overhead cost should be allocated to the 
NAH cost centers depends on whether or not that function provides a 
benefit to the hospital's NAH programs.
    The general service cost centers, including the administrative and 
general cost center, comprise a variety of distinct overhead functions, 
some of which may benefit the hospital's nursing and allied health 
education programs, while others may not. In order to properly 
distinguish between the costs associated with these distinct functions, 
and to ensure that the pass-through cost centers receive only those 
indirect costs allowable under our longstanding policies, we are 
proposing to require providers with approved NAH education programs to 
componentize (that is, to fragment or subscript) their general service 
cost centers according to the procedures described below.
    We are proposing that if a hospital operates ``approved educational 
activities,'' as defined under Sec.  413.85(c) and subject to the 
provider-operated requirements under Sec.  413.85(f), then the hospital 
must identify any general service cost center that comprises costs of 
multiple overhead functions, where some of those functions provide a 
benefit to the hospital's NAH programs and others do not. For each such 
general service cost center, the hospital must create one or more 
subscripts that contain only those costs that provide a benefit to its 
NAH programs. (Note that such costs may also provide a benefit to other 
departments of the hospital.) As a result of this process, the general 
service cost center would contain the following components (in addition 
to any other subscripts created by the hospital for other purposes): 
(1) Indirect costs that provide a benefit to the hospital's NAH 
programs, and (2) Indirect costs that do not provide a benefit to NAH.
    Only those costs contained in component (1) would flow to Worksheet 
D, Parts III and IV, to be reimbursed on a pass-through basis. On lines 
20 and 23 (and subscripts thereof) of Worksheet B-1, the hospital would 
delete (zero out) the allocation statistic in the column corresponding 
to component (2), so that those costs are allocated to the departments 
that they serve but not to the NAH cost centers.
    We note that a similar procedure would apply to certain 
nonprovider-operated programs paid for clinical costs on a pass-through 
basis under 42 CFR 413.85(g)(1) and (2). In contrast to provider-
operated programs paid under Sec.  413.85(f), providers that qualify 
for reasonable cost payment of clinical costs associated with 
nonprovider operated programs under Sec.  413.85(g) may receive 
reasonable cost payment for the clinical training costs only, including 
the clinical training costs incurred by a related organization (Sec.  
413.85(g)(2)(v); 66 FR 3367); however, the January 12, 2001 Federal 
Register explicitly states that ``overhead costs incurred by a related 
organization generally would not be considered allowable'' under this 
provision (66 FR 3369). Accordingly, under our proposal, a provider 
that claims pass-through costs under Sec. Sec.  413.85(g)(1) and (2) 
must further distinguish between overhead costs incurred directly by 
the provider and those incurred by a related party. This would be 
accomplished by creating an additional subscript of the general service 
cost center containing only those related party costs.\122\ We further 
note that any excess clinical training costs as defined at Sec.  
413.85(g)(2)(iii) would continue to be removed as a post-stepdown 
adjustment on Worksheet B-2, consistent with the instructions in CMS 
Pub. 15-2, section 4022.
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    \122\ General service costs incurred by a related party are 
reported on Worksheet A-8-1 of the hospital cost report. Under our 
proposal, if the hospital reports related party overhead costs 
associated with an NAH program on Worksheet A-8-1, then it must 
create an additional subscript for each corresponding general 
service cost center containing only those related party costs. 
Overhead costs incurred by a related organization and allocated to 
the NAH cost centers would be removed as a post-stepdown adjustment 
on Worksheet B-2; such costs are not paid on a pass-through basis, 
but instead are allowable as normal operating costs of the hospital, 
included in the prospective payment rates.
---------------------------------------------------------------------------

    These procedures would ensure that only indirect costs incurred by 
the provider that are ``directly attributable'' to the provider's 
operation of approved educational activities are allocated to the pass-
through NAH cost centers. We note that the componentization of general 
service cost centers is consistent with longstanding Medicare cost 
reporting procedures as described in CMS Pub. 15-1, chapter 23, section 
2307(B). In addition, we are clarifying that the hospital must ensure 
that the statistical basis used to allocate each general service cost 
center and its subscripts (if applicable) must reasonably relate to the 
general service costs and must appropriately reflect the proportion of 
those costs attributable to the downstream cost centers, including NAH. 
For further discussion of the use of appropriate allocation statistics, 
refer to section X.D.3. of this proposed rule (``Clarification and 
Codification of Cost Allocation Principles'').
    The following example illustrates the application of our proposed 
procedures in the case of a hospital with a subset of administrative 
and general costs allowable for purposes of NAH pass-through payment. 
Assume the hospital's NAH programs are deemed provider-operated 
consistent with the requirements at Sec.  413.85(f).
    Example: Suppose that a hospital reports $100,000,000 in 
administrative and general costs, of which $75,000,000 is attributable 
to specific overhead functions (such as executive salaries, accounting 
services, and facility administrative services) that provide a benefit 
to the hospital's approved NAH education programs, as well as to the 
rest of the hospital. The remaining $25,000,000 is attributable to 
functions (such as legal services and inpatient admissions) that do not 
provide a benefit to the hospital's NAH programs.

[[Page 19526]]

The hospital would subscript its A&G cost center as follows:
     One subscript (for example, line 5.01), would contain the 
$75,000,000 in A&G costs that provide a benefit to the hospital's NAH 
programs.
     Another subscript (for example, line 5.02), would contain 
the residual $25,000,000 in A&G costs not attributable to the 
hospital's NAH programs.
     Cost center 5.01 would be allocated among all cost centers 
on an appropriate statistical basis (for example, accumulated cost, 
adjusted so as to reverse the offset of tuition and/or other revenue, 
as described in the preceding section of this proposal); any costs 
allocated to the NAH cost centers would flow to Worksheet D, Parts III 
and IV, and be reimbursed on a pass-through basis.
     The hospital would delete (zero out) the allocation 
statistic on Worksheet B-1, lines 20 and 23, column 5.02; this would 
prevent A&G costs unrelated to the hospital's NAH programs from being 
allocated to the NAH cost centers.
    We propose that the effective date of these policies would be cost 
reporting periods beginning on or after October 1, 2026. We intend to 
issue revisions to the hospital cost report (Form CMS-2552-10) to 
implement these policies, if finalized.

H. Payment Adjustment for Certain Immunotherapy Cases (Sec. Sec.  
412.85 and 412.312)

    Effective for FY 2021, we created MSDRG 018 for cases that include 
procedures describing CAR T-cell therapies, which were reported using 
ICD-10-PCS procedure codes XW033C3 or XW043C3 (85 FR 58599 through 
58600). Effective for FY 2022, we revised MSDRG 018 to include cases 
that report the procedure codes for CAR T-cell and non-CAR T-cell 
therapies and other immunotherapies (86 FR 44798 through 448106).
    Effective for FY 2021, we modified our relative weight methodology 
for MSDRG 018 to develop a relative weight that is reflective of the 
typical costs of providing CAR T-cell therapies relative to other IPPS 
services. Specifically, under our finalized policy we do not include 
claims determined to be clinical trial claims that group to MS-DRG 018 
when calculating the average cost for MS-DRG 018 that is used to 
calculate the relative weight for this MSDRG, with the additional 
refinements that: (a) when the CAR T-cell therapy product is purchased 
in the usual manner, but the case involves a clinical trial of a 
different product, the claim will be included when calculating the 
average cost for MS DRG 018 to the extent such claims can be identified 
in the historical data; and (b) when there is expanded access use of 
immunotherapy, these cases will not be included when calculating the 
average cost for MS-DRG 018 to the extent such claims can be identified 
in the historical data (85 FR 58600). The term ``expanded access'' 
(sometimes called ``compassionate use'') is a potential pathway for a 
patient with a serious or immediately life-threatening disease or 
condition to gain access to an investigational medical product (drug, 
biologic, or medical device) for treatment outside of clinical trials 
when, among other criteria, there is no comparable or satisfactory 
alternative therapy to diagnose, monitor, or treat the disease or 
condition (21 CFR 312.305).\123\
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    \123\ https://www.fda.gov/news-events/expanded-access/expanded-access-keywords-definitions-and-resources
---------------------------------------------------------------------------

    Effective FY 2021, we also finalized an adjustment to the payment 
amount for applicable clinical trial and expanded access immunotherapy 
cases that group to MS-DRG 018 using the same methodology that we used 
to adjust the case count for purposes of the relative weight 
calculations (85 FR 58842 through 58844). (As previously noted, 
effective beginning FY 2022, we revised MS-DRG 018 to include cases 
that report the procedure codes for CAR T-cell and non-CAR T-cell 
therapies and other immunotherapies (86 FR 44798 through 448106).) 
Specifically, under our finalized policy we apply a payment adjustment 
to claims that group to MS-DRG 018 and include ICD-10CM diagnosis code 
Z00.6, with the modification that when the CAR T-cell, non-CAR T-cell, 
or other immunotherapy product is purchased in the usual manner, but 
the case involves a clinical trial of a different product, the payment 
adjustment will not be applied in calculating the payment for the case. 
We also finalized that when there is expanded access use of 
immunotherapy, the payment adjustment will be applied in calculating 
the payment for the case. Effective FY 2026, we also finalized the 
application of the payment adjustment for clinical trial and expanded 
access use of immunotherapy cases to other cases where the 
immunotherapy product is not purchased in the usual manner, such as 
obtained at no cost. This payment adjustment is codified at 42 CFR 
412.85 (for operating IPPS payments) and 412.312 (for capital IPPS 
payments), for claims appropriately containing Z00.6, as described 
previously, and reflects that the adjustment is also applied for cases 
involving expanded access use immunotherapy, and that the payment 
adjustment only applies to applicable clinical trial cases; that is, 
the adjustment is not applicable to cases where the CAR T-cell, non-CAR 
T-cell, or other immunotherapy product is purchased in the usual 
manner, but the case involves a clinical trial of a different product. 
The regulations at 42 CFR 412.85(c) also specify that the adjustment 
factor will reflect the average cost for cases assigned to MS-DRG 018 
that involve expanded access use of immunotherapy, are part of an 
applicable clinical trial, or for discharges occurring on or after 
October 1, 2025, other cases where the immunotherapy product is not 
purchased in the usual manner, such as provided at no cost, to the 
average cost for all other cases assigned to MS-DRG 018 (90 FR 36922).
    For FY 2027, we are proposing to continue to apply an adjustment to 
the payment amount for expanded access use of immunotherapy and 
applicable clinical trial cases, and other cases where the 
immunotherapy product is not purchased in the usual manner, such as 
obtained at no cost, that group to MS-DRG 018, calculated using the 
same methodology, as modified in the FY 2024 IPPS/LTCH PPS final rule 
(88 FR 59062), that we are proposing to use to adjust the case count 
for purposes of the relative weight calculations, including our 
proposed modifications to that methodology for FY 2027, as described in 
section II.D. of the preamble of this proposed rule.
    As discussed in the FY 2024 IPPS/LTCH PPS final rule, the MedPAR 
claims data now includes a field that identifies whether or not the 
claim includes expanded access use of immunotherapy. For the FY 2023 
MedPAR data and for subsequent years, this field identifies whether or 
not the claim includes condition code 90. The MedPAR files now also 
include information for claims with the payer-only condition code 
``ZC'', which is used by the IPPS Pricer to identify a case where the 
CAR T-cell, non-CAR T-cell, or other immunotherapy product is purchased 
in the usual manner, but the case involves a clinical trial of a 
different product so that the payment adjustment is not applied in 
calculating the payment for the case (for example, see Change Request 
11879, available at https://www.cms.gov/files/document/r10571cp.pdf). 
We refer the readers to section II.D. of this proposed rule for further 
discussion of our proposed methodology for identifying clinical trial 
claims and expanded access use

[[Page 19527]]

claims in MS-DRG 018 and our methodology used to adjust the case count 
for purposes of the relative weight calculations, as modified in the FY 
2024 IPPS/LTCH PPS final rule, and as further modified for FY 2026 to 
identify other claims for which the immunotherapy product was not 
purchased in the usual manner, such as obtained at no cost.
    Using the same methodology that we are proposing to use to adjust 
the case count for purposes of the relative weight calculations, we are 
proposing to calculate the adjustment to the payment amount for 
expanded access use of immunotherapy, applicable clinical trial cases, 
and other cases where the immunotherapy product is not purchased in the 
usual manner, such as obtained at no cost as follows:
     Calculate the average cost for cases assigned to MS-DRG 
018 that: (a) contain ICD-10-CM diagnosis code Z00.6 and do not contain 
condition code ``ZC''; (b) contain condition code ``90''; or (c) 
contain standardized drug charges below the median standardized drug 
charge of clinical trial cases in MS-DRG 018.
     Calculate the average cost for all other cases assigned to 
MS-DRG 018.
     Calculate an adjustor by dividing the average cost 
calculated in step 1 by the average cost calculated in step 2.
     Apply this adjustor when calculating payments for expanded 
access use of immunotherapy, applicable clinical trial cases, and other 
cases where the immunotherapy product is not purchased in the usual 
manner, such as obtained at no cost, that group to MS-DRG 018 by 
multiplying the relative weight for MS-DRG 018 by the adjustor.
    We refer the readers to section II.D. of the preamble of this 
proposed rule for further discussion of our methodology.
    Consistent with our calculation of the proposed adjustor for the 
relative weight calculations, for this proposed rule we are proposing 
to calculate this adjustor based on the December 2025 update of the FY 
2025 MedPAR file for purposes of establishing the FY 2027 payment 
amount. Specifically, in accordance with 42 CFR 412.85 (for operating 
IPPS payments) and 412.312 (for capital IPPS payments), we are 
proposing to multiply the FY 2027 relative weight for MS-DRG 018 by a 
proposed adjustor of 0.17 as part of the calculation of the payment for 
claims determined to be applicable clinical trial claims, expanded 
access use immunotherapy claims, or other cases where the immunotherapy 
product is not purchased in the usual manner, such as obtained at no 
cost, that group to MS-DRG 018, which includes CAR T-cell and non-CAR 
T-cell therapies and other immunotherapies. We are also proposing to 
update the value of the adjustor based on more recent data for the 
final rule.

I. Hospital Readmissions Reduction Program

1. Regulatory Background
    Section 1886(q) of the Act sets forth the requirements of the 
Hospital Readmissions Reduction Program effective for discharges from 
applicable hospitals beginning on or after October 1, 2012. Under the 
Hospital Readmissions Reduction Program, payments to applicable 
hospitals must be reduced to account for certain excess readmissions 
after an initial treatment for specified diagnoses (referred to in 
section 1886(q)(5)(A) of the Act as ``applicable conditions'', certain 
high-volume or high-expenditure conditions specified by the Secretary). 
We refer readers to the FY 2016 IPPS/LTCH PPS final rule (80 FR 49530 
through 49543) and the FY 2018 IPPS/LTCH PPS final rule (82 FR 38221 
through 38240) for a general overview of the Hospital Readmissions 
Reduction Program. We also refer readers to 42 CFR 412.152 through 
412.154 for codified Hospital Readmissions Reduction Program 
requirements.
2. Hospital Readmissions Reduction Program Measures
a. Summary of Previously Adopted Measures for the Hospital Readmissions 
Reduction Program
    Table V.K-01 shows the Hospital Readmissions Reduction Program 
measure set for the FY 2027 program year and subsequent years, that is, 
the ``applicable conditions'' used to calculate excess readmission 
ratios.\124\ Additional resources on the measure technical 
specifications and methodology for the Hospital Readmissions Reduction 
Program are available on the CMS QualityNet website (available at: 
https://qualitynet.cms.gov/inpatient/measures/readmission/methodology).
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    \124\ Sec.  412.152.
    [GRAPHIC] [TIFF OMITTED] TP14AP26.134
    

[[Page 19528]]


b. Proposed Adoption of the Hospital 30-Day, All-Cause, Risk-
Standardized Readmission Rate Following Sepsis Hospitalization Measure
(1) Background
    Sepsis, or septicemia, is a life-threatening condition that results 
from the body's dysregulated response to infection and is a leading 
cause of mortality, hospitalization, and readmission in the United 
States.\125\ It is the most frequent principal diagnosis among non-
maternal, non-neonatal inpatients, with over 2.2 million 
hospitalizations reported in 2018.\126\ Of the 1.7 million adults 
diagnosed with sepsis annually, approximately 20 percent 
die.127 128 129
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    \125\ An Assessment of Sepsis in the United States and its 
Burden on Hospital Care. Rockville, MD: Agency for Healthcare 
Research and Quality; 2024. AHRQ Pub No. 24-0087.
    \126\ McDermott K.W., Roemer M. (2021). Most Frequent Principal 
Diagnoses for Inpatient Stays in U.S. Hospitals, 2018. Healthcare 
Cost and Utilization Project (HCUP) Statistical Brief #277. 
Available at: https://pubmed.ncbi.nlm.nih.gov/34428003/. Accessed 
March 23, 2026.
    \127\ Centers for Disease Control and Prevention. About Sepsis. 
August 2025. Available at: https://www.cdc.gov/sepsis/about/index.html. Accessed March 23, 2026.
    \128\ U.S Department of Health and Human Services. Agency for 
Healthcare Research and Quality. Report to Congress: An Assessment 
of Sepsis in the United States and its Burden on Hospital Care. 
2024. Available at: https://www.ahrq.gov/sites/default/files/publications2/files/sepsis-report-to-congress_0.pdf.
    \129\ Page B., Klompas M., Chan C., et al. Surveillance for 
healthcare-associated infections: hospital-onset adult sepsis events 
versus current reportable conditions. Clin Infect Dis 2021; 73:1013-
9.
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    Consistent with section 1886(q)(5)(A) of the Act, which, as noted 
above, defines an ``applicable condition'' in the Hospital Readmissions 
Reduction Program, sepsis readmissions are both high volume and high 
expenditure. Thirty-day average readmission rates for patients with 
sepsis are estimated to be about 21 percent.\130\ Sepsis is also 
associated with poor health outcomes, such as the development of 
chronic conditions and functional impairment,\131\ as well as higher 
costs compared to other conditions included in CMS value-based and 
quality reporting programs.\132\ Between 2016 and 2021, the aggregate 
hospital costs for patients with sepsis aged 65 and older increased 
from $16.7 billion to $26.3 billion, and the average total cost of 
sepsis stays for this population increased from $21,700 to $25,000 over 
this period. \133\ Approximately 50 percent of the total hospital costs 
for sepsis stays in 2020 and 2021 were associated with stays expected 
to be billed to Medicare.\134\ A recent study concluded that the 
quality reporting and payment-for-performance programs should address 
these concerns after finding that sepsis readmissions occurred at a 
rate similar to that of other conditions included in the Hospital 
Readmissions Reduction Program (for example, heart failure, chronic 
obstructive pulmonary disease, acute myocardial infarction).\135\
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    \130\ Shankar-Hari, et al. Rate and Risk Factors for 
Rehospitalization in Sepsis Survivors: Systematic Review and Meta-
analysis. 2020. Intensive Care Med; 46(4):619-636. doi: 10.1007/
s00134-019-05908-3.
    \131\ Van der Slikke, E.C., Beumeler, L.F., Holmqvist, M., 
Linder, A., Mankowski, R.T., & Bouma, H.R. (2023). Understanding 
post-sepsis syndrome: how can clinicians help?. Infection and Drug 
Resistance, 6493-6511. https://doi.org/10.2147/IDR.S390947.
    \132\ Weiss A., Jiang J. Overview of clinical conditions with 
frequent and costly hospital readmissions by payer, 2018 #278. hcup-us.ahrq.gov. Published 2021. https://hcup-us.ahrq.gov/reports/statbriefs/sb278-Conditions-Frequent-Readmissions-By-Payer-2018.jsp.
    \133\ Owens, P.L., et al. (2024). Overview of Outcomes for 
Inpatient Stays Involving Sepsis, 2016-2021 (HCUP Statistical Brief 
No. 306). Agency for Healthcare Research and Quality. Available at: 
https://hcup-us.ahrq.gov/reports/statbriefs/sb306-overview-sepsis-2016-2021.pdf.
    \134\ Owens, P.L., et al. (2024). Overview of Outcomes for 
Inpatient Stays Involving Sepsis, 2016-2021 (HCUP Statistical Brief 
No. 306). Agency for Healthcare Research and Quality. Available at: 
https://hcup-us.ahrq.gov/reports/statbriefs/sb306-overview-sepsis-2016-2021.pdf.
    \135\ Cam C., Bridging the Gap: Developing a Standardized Metric 
for Sepsis Readmission Using CMS Methodology. Hospital Quality 
Institute. 2025. https://hqinstitute.org/file/analysis-paper-developing-a-standardized-metric-for-sepsis-readmission-using-cms-methodologies/.
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    Sepsis readmissions are often preventable, highlighting the need 
for targeted interventions to reduce sepsis-related mortality and 
improve post-discharge outcomes including readmissions.\136\ 
Readmission following a sepsis hospitalization may be a result of 
inadequate treatment of the initial infection, complications of 
hospital care, or secondary to the many challenges in implementation of 
care transitions and immediate post-discharge care among a complex 
patient population.137 138 Research has demonstrated that 
targeted quality improvement initiatives can reduce sepsis readmission 
rates. One study at a large, academically-affiliated hospital showed 
that the use of multimodal interventions, such as clinical decision 
support tools, sepsis response teams, standardized order sets, and 
data-driven quality tracking, have been associated with a lower rate of 
infection-related readmissions as well as lower overall readmission 
rates.\139\ Another study of patients with severe sepsis showed that 
post-discharge strategies, including timely home health visits and 
outpatient physician follow-up within the first week, reduced all-cause 
30-day readmissions.\140\ A randomized clinical trial at a multisite 
facility showed that a multicomponent post-sepsis transition service 
led by a nurse navigator was associated with a 20 percent reduced risk 
of 30-day readmission or mortality compared to usual care.\141\ These 
findings highlight the effectiveness of both in-hospital and post-
discharge quality improvement efforts in improving outcomes for sepsis 
patients.
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    \136\ Taylor, Stephanie et. al., 43: Effect of a Navigator-Led 
Transition and Recovery Program on Mortality and Readmission After 
Sepsis. Critical Care Medicine 49(1):p 22. (2021). doi: 10.1097/
01.ccm.0000726200.09497.d2.
    \137\ Ackermann K., Lynch I., Aryal N., Westbrook J., Li L. 
Hospital readmission after surviving sepsis: A systematic review of 
readmission reasons and meta-analysis of readmission rates. Journal 
of Critical Care. 2025/02/01/2025;85:154925. doi:https://doi.org/10.1016/j.jcrc.2024.154925.
    \138\ Gadre S.K., Shah M., Mireles-Cabodevila E., Patel B., 
Duggal A. Epidemiology and Predictors of 30-Day Readmission in 
Patients With Sepsis. CHEST. 2019;155(3):483-490. doi:10.1016/
j.chest.2018.12.008.
    \139\ Alnababteh M.H., Huang S.S., Ryan A., McGowan K.M., 
Yohannes S.A. Multimodal Sepsis Quality-Improvement Initiative 
Including 24/7 Screening and a Dedicated Sepsis Response Team-
Reduced Readmissions and Mortality. Crit Care Explor. 2020 Nov. 
24;2(12):e0251. doi: 10.1097/CCE.0000000000000251.
    \140\ Deb P., Murtaugh C.M., Bowles K.H., et al. Does Early 
Follow-Up Improve the Outcomes of Sepsis Survivors Discharged to 
Home Health Care? Medical Care. 2019;57(8):633-640. doi:10.1097/
mlr.0000000000001152.
    \141\ Taylor S.P., Murphy S., Rios A., et al. Effect of a 
Multicomponent Sepsis Transition and Recovery Program on Mortality 
and Readmissions After Sepsis: The Improving Morbidity During Post-
Acute Care Transitions for Sepsis Randomized Clinical Trial*. 
Critical Care Medicine. 2022. https://doi.org/10.1097/CCM.0000000000005300.
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(2) Overview of Measure
    We propose adopting the Hospital 30-Day, All-Cause, Risk-
Standardized Readmission Rate Following Sepsis Hospitalization measure 
(Sepsis Readmission measure) for the Hospital Readmissions Reduction 
Program beginning with an applicable period of July 1, 2025, to June 
30, 2027, for the FY 2029 program year. The purpose of the Sepsis 
Readmission measure is to improve patient outcomes by providing 
patients, physicians, hospitals, and policymakers with important 
information about hospital-level unplanned readmission rates following 
hospitalization for sepsis. The Sepsis Readmission measure would 
encourage hospitals to improve patient safety and the quality of care 
provided across the care continuum by tracking hospital-level rates of 
sepsis readmission. The measure would also promote adherence to 
evidence-based practices, including standardized clinical protocols,

[[Page 19529]]

implementation of targeted post-discharge interventions, and 
appropriate discharge planning. This measure would also give consumers 
meaningful insights into the quality of care received by Medicare 
patients.\142\
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    \142\ https://p4qm.org/measures/5275. Accessed March 23, 2026.
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    The measure aligns with our Meaningful Measures 2.0 priority area 
of ``Seamless Care Coordination,'' which aims to ensure patients 
receive timely and coordinated care, reduce the risk of errors, and 
improve overall patient outcomes.\143\ The Sepsis Readmission measure 
has been specified to include both Medicare Fee-for-Service and 
Medicare Advantage beneficiaries. Including Medicare Advantage 
beneficiaries in CMS hospital outcome measures helps ensure that 
hospital quality is measured consistently across all Medicare 
beneficiaries.\144\ This is also consistent with the program's 
finalization of a policy in the FY 2026 IPPS/LTCH PPS final rule to 
integrate Medicare Advantage beneficiaries into the cohorts of the 
Hospital Readmissions Reduction Program measure set beginning with the 
FY 2027 program year (90 FR 36923 through 36929).
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    \143\ Centers for Medicare & Medicaid Services. (November 2025). 
Cascade of Meaningful Measures. Available at: https://www.cms.gov/medicare/quality/cms-national-quality-strategy/meaningful-measures-20-moving-measure-reduction-modernization. Accessed March 23, 2026.
    \144\ https://p4qm.org/measures/5275. Accessed March 23, 2026.
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    The proposed Sepsis Readmission measure addresses a significant 
performance gap in healthcare quality. Sepsis represents a critical 
public health challenge, with substantial variation in hospital 
readmission rates following an index sepsis hospitalization. This 
variation reflects differences in the quality of initial treatment, 
discharge planning, and post-discharge care transitions across 
healthcare facilities. Based on our calculations using data from 2022 
to 2023, the mean 30-day all-cause risk-standardized readmission rate 
(RSRR) for sepsis using the proposed measure methodology (see section 
V.I.b.4. of the preamble of this proposed rule for the proposed Sepsis 
Readmission measure methodology) for all hospitals with at least 25 
eligible discharges for the measure is about 18.09 percent. Among 
hospitals with at least 25 eligible discharges for the Sepsis 
Readmission measure, hospitals with a Disproportionate Share Hospital 
(DSH) patient percentage of at least 65 percent and teaching hospitals 
with 100 or more residents have the highest mean RSRRs (18.63 percent 
and 18.62 percent, respectively). Additionally, safety-net hospitals 
with at least 25 eligible discharges have a slightly higher mean RSRR 
than non-safety-net hospitals with at least 25 eligible discharges 
(18.37 percent and 18.02 percent, respectively).
BILLING CODE 4120-01-P

[[Page 19530]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.135


[[Page 19531]]


[GRAPHIC] [TIFF OMITTED] TP14AP26.136

BILLING CODE 4120-01-C
    As discussed in the Background section, research demonstrates that 
thirty-day hospital readmissions following sepsis hospitalization often 
stem from ineffective initial treatment, poor discharge planning, and 
insufficient post-discharge follow-up. Studies have shown that 
facilities implementing a higher number of evidence-based transitional 
care processes experience lower readmission rates, indicating 
substantial opportunity for quality improvement across the healthcare 
system.
    Given that infection (either new or recurrent) is the leading cause 
of sepsis-related readmission, and that evidence-based interventions 
such as care coordination, medication reconciliation, patient 
education, and timely post-discharge follow-up have been proven 
effective in reducing readmissions, this measure would provide 
hospitals with actionable feedback to enhance quality across the entire 
care continuum and reduce preventable readmissions for a population not 
captured in CMS' other condition- and procedure-specific readmission 
measures.
(3) Measure Specifications
(a) Numerator
    The numerator of the measure is defined as Medicare Fee-for-Service 
or Medicare Advantage beneficiaries aged 65 years and older, who were 
discharged from the hospital with a principal diagnosis of sepsis 
(including post-procedural sepsis), who were then readmitted to an 
acute care hospital for any cause within 30 days. Patients must have 
been enrolled in Medicare Fee-for-Service or Medicare Advantage during 
the index admission and for the 12 months prior to the date of 
admission, discharged alive from a non-federal short-term acute care 
hospital, and not transferred to another acute care facility. Only an 
unplanned inpatient admission to a short-term acute care hospital can 
qualify as a readmission. Planned readmissions, which are generally not 
a signal of quality of care, are not included in the numerator. For 
details of the measure methodology, we refer readers to the measure 
methodology report, available at: https://qualitynet.cms.gov/inpatient/measures/readmission/methodology.
(b) Denominator
    The measure denominator includes all Medicare Fee-for-Service or 
Medicare Advantage beneficiaries aged 65 years and older, hospitalized 
at non-federal short-term acute care hospitals who are discharged alive 
following a principal hospital discharge diagnosis of sepsis (including 
post-procedural sepsis), and with a continuous 12-month Medicare 
enrollment period prior to the index hospitalization.
    This measure excludes index admissions for patients who meet 
additional exclusion criteria, including: (1) admissions during which 
patients leave the hospital against medical advice (AMA) (excluded 
because providers may not have the opportunity to deliver full care and 
prepare the patient for discharge); (2) admissions for patients without 
at least 30 days post-discharge enrollment in Medicare Fee-for-Service 
or Medicare Advantage (excluded because the 30-day readmission outcome 
cannot be assessed in this group); (3) admissions resulting in patients 
discharged to hospice (readmission may not be a meaningful outcome for 
these hospice patients and the discharging hospital is not the most 
appropriate party to hold accountable for the readmission from hospice 
for this measure); (4) sepsis admissions captured in the pneumonia 
readmission measure (to avoid overlap with the pneumonia readmission 
measure); and (5) sepsis admissions within 30 days of an eligible 
sepsis index admission (excluded because they are considered 
readmissions, not index admissions). For more information about the 
measure specifications, we refer readers to the methodology report, 
available at: https://qualitynet.cms.gov/

[[Page 19532]]

inpatient/measures/readmission/methodology.
(c) Risk Adjustment
    To account for differences in case mix across hospitals, the Sepsis 
Readmission measure includes risk adjustments for patient factors such 
as age, comorbid diseases, and indicators of patient frailty. The 
measure also adjusts for the aggressiveness of the infectious organism 
(bacteria, virus, or fungus) causing sepsis, a transplant recipient 
indicator, and clinical markers of severe sepsis. These factors are 
included in risk adjustment calculations for the measure because they 
are clinically relevant and are related to the measure outcome. For 
each patient, risk adjustment variables are obtained from inpatient, 
outpatient, and physician Medicare administrative claims data (Medicare 
Fee-for-Service Part A and Part B claims, hospital-submitted Medicare 
Advantage claims, and Medicare Advantage Organization-submitted 
encounter data) extending up to 12 months prior to the index 
hospitalization, and secondary diagnoses documented as present on 
admission during the index hospitalization. The risk adjustment does 
not include complications that arise during the course of the index 
hospitalization because they reflect the quality of care delivered and 
fall within the causal pathway rather than patient risk.\145\ For more 
information on risk adjustment we refer readers to the methodology 
report, available at: https://qualitynet.cms.gov/inpatient/measures/readmission/methodology.
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    \145\ https://p4qm.org/measures/5275.
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(4) Calculating Sepsis Risk-Standardized Readmission Rate
    The Sepsis Readmission measure calculates hospital-level 30-day 
all-cause risk-standardized readmission rates (RSRR) for sepsis. If 
this measure is adopted as proposed, the sepsis RSRR would be 
calculated as the ratio of the number of predicted readmissions based 
on the hospital's performance with its observed case mix to the number 
of expected readmissions based on the average national level of 
performance with that hospital's case mix, multiplied by the national 
observed readmission rate. This is the same measure calculation 
methodology as the current measures in the Hospital Readmissions 
Reduction Program. For more detail on how the Sepsis Readmission 
measure would be used to calculate the 30-day Risk-Standardized 
Readmission Rate we refer readers to the methodology report available 
at: https://qualitynet.cms.gov/inpatient/measures/readmission/methodology.
(5) Calculating the Excess Readmission Ratio
    If finalized as proposed, the Sepsis Readmission measure would use 
the same methodology and statistical modeling approach as the current 
measures in the Hospital Readmissions Reduction Program. In the FY 2012 
IPPS/LTCH PPS final rule (76 FR 51673 through 51676), we finalized the 
excess readmission ratio pursuant to section 1886(q)(4)(C) of the Act. 
The ratio is calculated using hierarchical logistic regression. The 
method adjusts for variation across hospitals in how sick their 
patients are when admitted to the hospital (and therefore, variation in 
hospital patients' readmission risk) as well as the variation in the 
number of patients that a hospital treats to reveal differences in 
quality. The method produces an adjusted actual (or ``predicted'') 
number in the numerator and an ``expected'' number in the denominator. 
The expected calculation is similar to that for logistic regression--it 
is the sum of all patients' expected probabilities of readmission, 
given their risk factors and the risk of readmission at an average 
hospital with a similar patient case mix. For each hospital, the 
numerator of the ratio used in the consensus-based entity methodology 
(actual adjusted readmissions) is calculated by estimating the 
probability of readmission for each patient at that hospital and 
summing up over all the hospital's patients to get the actual adjusted 
number of readmissions for that hospital. The ratio compares the total 
adjusted actual readmissions at the hospital to the number that would 
be expected if the hospital's patients were treated at an average 
hospital with similar patients. Hospitals with more adjusted actual 
readmissions than expected readmissions will have a risk-standardized 
ratio (excess readmission ratio) greater than one.
    For additional detail on the methodology of excess readmission 
ratio calculations, we refer readers to the FY 2013 IPPS/LTCH PPS final 
rule (77 FR 53380 through 53381). We also refer readers to section 
V.I.2.b.5. of the preamble of this proposed rule for a description of 
how the Sepsis Readmission measure would be incorporated into the 
Hospital Readmissions Reduction Program payment adjustment beginning 
with the FY 2029 program year.
(6) Reliability Testing
    Reliability testing was conducted to assess the consistency and 
stability of the Sepsis Readmission measure in distinguishing hospital 
performance. The testing methodology evaluated whether observed 
differences in hospital readmission rates reflect true differences in 
quality of care rather than random variation.
    The reliability analysis employed standard statistical approaches 
to examine measure performance across hospitals with varying patient 
volumes. Specifically, we assessed split-half reliability, also called 
split-sample reliability, to test the internal consistency or stability 
of the measure. Reliability was estimated both at the measure score and 
accountable-entity levels.
    Reliability testing was assessed using two years of data from 
January 1, 2022, through December 31, 2023. Table V.I.-03 shows split-
half reliability result at the measure score level for hospitals with a 
minimum case of >= 2 cases and >= 25 cases (the proposed threshold for 
public reporting), respectively. The results indicate that the measure 
is sufficiently reliable for distinguishing between high- and low-
performing hospitals, consistent with the minimum standard for 
reliability set forth by the Partnership for Quality Measurement 
(>=0.60).\146\
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    \146\ For more details on reliability guidance, we refer readers 
to the Reliability Guidance for the Endorsement and Maintenance of 
Clinical Quality Measures Document available at: https://p4qm.org/em/resources.
[GRAPHIC] [TIFF OMITTED] TP14AP26.137


[[Page 19533]]


    Table V.I.-04 shows the accountable entity-level reliability 
results for hospitals with a minimum case of >= 25 cases (the proposed 
threshold for public reporting). Hospitals were categorized into volume 
deciles to assess reliability across different facility sizes and 
patient populations. Using this method, 69 percent of accountable 
entities met the split-half reliability estimate threshold of >= 0.60. 
This indicates that the measure is sufficiently reliable for 
distinguishing between high- and low-performing hospitals.
[GRAPHIC] [TIFF OMITTED] TP14AP26.138

    The Sepsis Readmission measure demonstrates acceptable reliability 
based on the split-half reliability method, both at the measure score 
level, and at the entity level. The measure's strong reliability, 
combined with evidence of substantial performance variation, indicates 
that it will provide hospitals with actionable, consistent feedback to 
drive improvements in sepsis care transitions and reduce preventable 
readmissions.
    We also conducted additional analyses to examine coding variability 
as a source of bias in entity level performance scores; and post-
discharge mortality within 30 days of discharge to account for 
competing risk of mortality in readmission risk. The analyses found no 
correlation between the hospital level use of sepsis code A41.9 (the 
most widely used code) and readmission or mortality risk. There was 
also no correlation between post-discharge mortality and readmission 
risk at the entity (hospital) level. Post-discharge mortality was 
stable with increasing duration of time since discharge and up to 30 
days. Please refer to the measure methodology report on QualityNet for 
more detailed information on these analyses, available at: https://qualitynet.cms.gov/inpatient/measures/readmission/methodology.
(7) Pre-Rulemaking Process and Measure Endorsement
(a) Recommendation From the Pre-Rulemaking Measure Review (PRMR) 
Process
    We refer readers to the Partnership for Quality Measurement website 
for details on the PRMR process, including the voting procedures used 
to reach consensus on measure recommendations.147 148 The 
PRMR Hospital Committee met on January 12 and 13, 2026, to review 
measures included by the Secretary on the publicly available ``2025 
Measures Under Consideration List,'' including the Hospital 30-Day, 
All-Cause, Risk-Standardized Readmission Rate Following Sepsis 
Hospitalization measure (MUC2025-055).\149\
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    \147\ Battelle, Partnership for Quality website. Available at: 
https://p4qm.org/. Accessed March 23, 2026.
    \148\ In 2025, we updated the PRMR voting process such that 
committee members will vote to either ``recommend'' or ``do not 
recommend'' that a measure be added to the intended CMS program(s), 
thus, removing the ``recommend with conditions'' voting option. The 
threshold to reach consensus on a given measure continues to be a 
minimum of 75 percent agreement among members. Committee members can 
provide considerations for CMS to review prior to implementation.
    \149\ Centers for Medicare & Medicaid Services. (2025). 2025 
Measures Under Consideration (MUC) List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports/overview. Accessed February 26, 2026.
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    The voting results of the PRMR Hospital Recommendation Group for 
the proposed Sepsis Readmission measure within the Hospital 
Readmissions Reduction Program were as follows: 13 (65 percent) of the 
Recommendation Group members recommended adopting the measure into the 
Hospital Readmissions Reduction Program; seven (35 percent) of the 
Recommendation Group members voted not to recommend the measure for 
adoption.\150\ With 65 percent of the votes for recommend, consensus 
was not reached, but the majority of the Recommendation Group expressed 
some support for use of the measure in the Hospital Readmission 
Reduction Program. Recommendation Group members who voted not to 
recommend adoption of the measure for the Program provided the 
following rationales: (1) concerns about adopting the Sepsis 
Readmission measure directly into the Hospital Readmissions Reduction 
Program; (2) methodological concerns; and (3) the need for greater 
consistency in sepsis definitions across measures and payers.
---------------------------------------------------------------------------

    \150\ Battelle. (February 2026). National Consensus Development 
and Strategic Planning for Health Care Quality Measurement 2025-2026 
Pre-Rulemaking Measure Review (PRMR) Recommendation Group Final 
Meeting Summary: Hospital Committee. https://p4qm.org/sites/default/files/2026-02/PRMR-Hospital-Recommendation-Group-Meeting-Final-Summary-508.pdf. Accessed February 26, 2026.
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    The Recommendation Group expressed concerns about adopting the 
Sepsis Readmission measure directly into the Hospital Readmissions 
Reduction Program, given the payment implications and the perception 
that hospitals may need time to adapt. Several members recommended a 
staged approach--initial implementation in the Hospital Inpatient 
Quality Reporting Program for multiple years, followed by later 
consideration for Hospital Readmissions Reduction Program--so hospitals 
have adequate time to understand the measure before the measure is tied 
to payment.
    We appreciate these implementation concerns and agree that careful 
rollout planning is important for any measure proposed for pay-for-
performance programs. We agree that hospitals would benefit from 
understanding their performance on the Sepsis Readmission measure and 
potential impacts to their payment under the Hospital Readmissions 
Reduction Program prior to using the measure for payment adjustments. 
We considered whether to first adopt this measure in the Hospital 
Inpatient Quality Reporting Program, in order to give hospitals time to 
become familiar with the measure before adopting it in a penalty 
program. However, given the significant morbidity and mortality linked 
to sepsis and the high case volume and cost of hospital readmissions, 
we are proposing to adopt the measure directly into the Hospital 
Readmissions Reduction Program, but using a phased approach, in an 
effort to balance implementation concerns against our intention to 
address this CMS priority in a timely manner. We are proposing to 
implement the Sepsis Readmission measure with ``early look'' reports 
for FY 2028--discussed further in section V.I.2.b.6. of the preamble of 
this proposed rule-- that would include sepsis readmission rates as 
well as estimated Hospital Readmissions Reduction Program payment 
adjustments with the addition

[[Page 19534]]

of the Sepsis Readmissions measure before beginning to use this measure 
in the FY 2029 payment adjustment. In addition, we would continue to 
evaluate measure performance characteristics (including hospital-level 
reliability, stability year-over-year, and subgroup impacts such as 
rural/low-volume hospitals) as part of routine measure 
maintenance.\151\
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    \151\ We conduct an annual reevaluation of measures implemented 
in its quality reporting and value-based purchasing programs to 
ensure that they remain valid and reflective of current clinical 
practice and coding standards. As part of this process, we may 
update measure cohorts, risk adjustment models, or outcomes, as 
appropriate. These updates are informed by review of the most recent 
scientific literature, stakeholder input, empirical analyses, and 
assessments of coding trends that may indicate shifts in clinical 
practice or billing patterns.
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    Committee members also raised methodological concerns, including 
the perceived imprecision of claims-based readmission measures and 
uncertainty about risk adjustment adequacy, particularly for rural 
hospitals and hospitals facing documentation constraints (for example, 
non-employed clinicians, limited resources). We acknowledge the 
committee's view of the limitations and variability in accuracy of 
claims-based measures; however, claims-based readmission measures are 
widely used in CMS programs because they are nationally scalable, 
consistently available, and minimize provider reporting burden while 
enabling standardized comparisons across hospitals. For this measure 
specifically, we conducted analyses to examine variation in the use of 
sepsis codes across hospitals, stratified by volume of sepsis cases 
treated, and observed no correlation with 30-readmission or mortality, 
indicating that documentation practices are not driving hospital 
measure performance. We wish to emphasize that the risk adjustment 
variables were identified through a deliberative and empirical process 
that resulted in a robust risk adjustment model that includes 
clinically relevant variables such as severity of sepsis, source of 
infection, how aggressive the infectious organism is, immunocompromised 
state of the patient, and organ failure/dysfunction. The risk model 
demonstrated strong calibration and discrimination in testing including 
for patients with differing severity of sepsis. For more details on our 
analysis of measure reliability and the risk adjustment methodology, we 
refer readers to subsection (6) in this section and to the measure 
methodology report, available at: https://qualitynet.cms.gov/inpatient/measures/readmission/methodology.
    Finally, the committee emphasized the need for greater consistency 
in sepsis definitions across measures and payors, with many urging 
alignment with Sepsis-3 as the most current international consensus 
definition.\152\ CMS noted that differing definitions can reflect 
deliberate tradeoffs between sensitivity and specificity; \153\ a scan 
of the literature shows that the most common problems with sepsis 
diagnoses relates to under-coding by providers.\154\ The developer 
noted that the current approach yields excellent model performance and 
identifies a clinically meaningful at-risk population for readmission. 
We appreciate the committee's request for clarity and standardization, 
particularly given reported coding and claims-denial dynamics that may 
influence whether sepsis is included on a claim. We note that we 
conducted analyses to examine coding practices as a factor that impacts 
performance scores and found no evidence to support this relationship. 
Further, as a part of routine measure maintenance, we conduct ongoing 
monitoring and evaluation analyses to watch for any unintended 
consequences.
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    \152\ Singer M., Deutschman C.S., Seymour C.W., et al. The Third 
International Consensus Definitions for Sepsis and Septic Shock 
(Sepsis-3). JAMA. 2016;315(8):801-810. doi:10.1001/jama.2016.0287.
    \153\ While there is no one consensus definition of sepsis, 
Sepsis-2 (based mainly on Systemic Inflammatory Response Syndrome 
criteria or SIRS) is highly sensitive, often identifying patients 
before severe deterioration. Sepsis-3 (based primarily on Sequential 
Organ Failure Assessment or SOFA) is highly specific, meaning it 
risks missing patients. Based on detailed expert clinical and TEP 
input, we elected to align the measure with Sepsis-2 definition in 
order to ensure cases were not missed, but also ensured no overlap 
with existing condition- and procedure-specific 30-day readmission 
measures.
    \154\ Liu B., Hadzi-Tosev M., Liu Y., Lucier K.J., Garg A., Li 
S., Heddle N.M., Rochwerg B., Ning S. Accuracy of International 
Classification of Diseases, 10th Revision Codes for Identifying 
Sepsis: A Systematic Review and Meta-Analysis. Crit Care Explor. 
2022 Nov 9;4(11):e0788. doi: 10.1097/CCE.0000000000000788. PMID: 
36382338; PMCID: PMC9649267.
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(b) Measure Endorsement
    We refer readers to the Partnership for Quality Measurement website 
for details on the measure endorsement and maintenance process, 
including the measure evaluation procedures the Endorsement and 
Maintenance Committees use to evaluate measures and whether they meet 
endorsement criteria. The measure was submitted for review in the Fall 
2025 cycle. The Cost and Efficiency Recommendation Group reviewed the 
Hospital-Level, Risk-Standardized 30-day All-Cause Readmission 
Following Hospitalization for Sepsis (CBE# 5275) on February 6, 2026. 
The voting results of the Recommendation Group were: 16 members (84 
percent) voted to endorse the measure, and 3 members (16 percent) voted 
not to endorse the measure. With a vote of 84 percent, the measure was 
endorsed, without conditions.\155\
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    \155\ Partnership for Quality Measurement. (February 2026). Cost 
and Efficiency Recommendation Group Fall 2025 Technical Report. Will 
become available at: https://p4qm.org/em/news-events.
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(8) Payment Reductions
    The payment adjustment factor under the Hospital Readmissions 
Reduction Program is calculated as the greater of 1 minus the ratio of 
aggregate payments for excess readmissions for the applicable condition 
to aggregate payments for all discharges or the applicable floor 
adjustment factor, as defined by section 1886(q)(3)(A) of the Act. The 
definition for ``aggregate payments for excess readmissions'' is 
codified at Sec.  412.152 and the methodology to calculate the payment 
adjustment factor is codified at Sec.  412.154(c).
    As a result of the proposal to add sepsis as an applicable 
condition under the Hospital Readmissions Reduction Program, excess 
readmissions for sepsis would be included in the calculation of 
aggregate payments for excess readmissions beginning with the FY 2029 
program year. Consistent with the definition codified at Sec.  412.152, 
aggregate payments for excess readmissions would include the aggregate 
base operating DRG payments for excess readmissions associated with 
sepsis, as applicable. Accordingly, the inclusion of sepsis as an 
applicable condition would be reflected in the calculation of the 
payment adjustment factor consistent with the established methodology 
of the program.
    To assess the expected impact on hospital payment adjustments 
resulting from the proposal to adopt the Sepsis Readmission measure, we 
estimated hospitals' payment adjustment factors including the Sepsis 
Readmission measure. Table V.I.-05 shows the estimated total Medicare 
savings with and without the Sepsis Readmission measure included in the 
program measure set. Based on our analysis, the estimated average 
payment reduction per penalized hospital when including the Sepsis 
Readmission measure increased by approximately $63,500.

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    Our analysis, as reflected in Table V.I.-06, also assessed the 
impact of the proposed Sepsis Readmission measure adoption on the 
number of hospitals that could be penalized under the Hospital 
Readmissions Reduction Program (that is, they have 25 or more eligible 
discharges for at least one measure), the number and percentage of 
penalized hospitals, and penalties as a share of payments overall and 
by hospital characteristics. The results for the current measure set 
are equal to those in Table V.I.-05, which show the estimated results 
for the FY 2027 Hospital Readmissions Reduction Program by hospital 
characteristic. The second and sixth columns in Table V.I.-06 indicate 
the total number of hospitals that could be penalized under the 
Hospital Readmissions Reduction Program. Poorly performing hospitals 
included in the program may receive a penalty if they are non-Maryland 
subsection (d) hospitals with 25 or more eligible discharges for at 
least one measure during the applicable period. The third and seventh 
columns in the table indicate the total number of non-Maryland 
hospitals with available data for each characteristic that have an 
estimated payment adjustment factor less than 1 (that is, penalized 
hospitals). The fourth and eighth columns in the table indicate the 
estimated percentage of penalized hospitals among those that could be 
penalized by hospital characteristic. The fifth and ninth columns in 
the table estimate the financial impact on hospitals by hospital 
characteristic, referred to as the penalty as a share of payments. The 
penalty as a share of payments is calculated as the sum of penalties 
for all hospitals with that characteristic over the sum of all base 
operating DRG payments for those hospitals. For example, under the 
current measure set without sepsis, the penalty as a share of payments 
for urban hospitals is 0.48 percent, and with the proposed updates, the 
penalty as a share of payments for urban hospitals is 0.68 percent. 
This means that total penalties for all urban hospitals is 0.48 percent 
of total payments for urban hospitals under the current measure set and 
0.68 percent with the proposed measure set to add sepsis. Measuring the 
financial impact on hospitals as a percentage of total base operating 
DRG payments accounts for differences in the amount of base operating 
DRG payments for hospitals with the characteristic when comparing the 
financial impact of the program on different groups of hospitals.
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BILLING CODE 4120-01-C
(9) Data Submission, Early Look, and Public Reporting
    The Sepsis Readmission measure uses Medicare administrative data 
(Medicare Fee-for-Service Part A and Part B claims, hospital-submitted 
Medicare Advantage claims, and Medicare Advantage Organization-
submitted encounter data) for Medicare Fee-for-Service and Medicare 
Advantage beneficiaries hospitalized for sepsis. Because this measure 
utilizes CMS administrative data, a hospital would not be required to 
submit additional data for calculating the measure. In the FY 2026 
IPPS/LTCH PPS final rule, we finalized our policy to use 2 years of 
claims data to calculate readmission measures (90 FR 36931 through 
36932) in conjunction with the policy to integrate Medicare Advantage 
beneficiaries into the cohorts of the Hospital Readmissions Reduction 
Program measure set (90 FR 36923 through 36929) beginning with the FY 
2027 program year.
    We considered whether to first adopt this measure in the Hospital 
Inpatient Quality Reporting Program, in order to give hospitals time to 
become familiar with the measure before adopting it in a penalty 
program. However, as discussed in section V.I.b.1. of the preamble of 
this proposed rule, given the significant morbidity and mortality 
linked to sepsis and the high case volume and cost of hospital 
readmissions, and our intention to address this CMS priority in a 
timely manner, we are proposing to adopt the measure in the Hospital 
Readmissions Reduction Program without delay, but also to provide 
hospitals with an ``early look'' of their Sepsis Readmission measure 
results and estimated Hospital Readmissions Reduction Program payment 
adjustments with the addition of the Sepsis Readmission measure for the 
FY 2028 program year, for which the applicable period is from July 1, 
2024, to June 30, 2026. Data used in this early look would not be 
publicly reported or used for payment adjustment; the early look would 
provide hospitals with confidential reports of their measure and 
program results prior to public reporting of the Sepsis Readmission 
measure beginning with the FY 2029 program year.
    We are proposing that the Sepsis Readmission measure would be used 
for payment adjustment beginning with the FY 2029 program year, for 
which the applicable period is from July 1, 2025, to June 30, 2027. We 
recognize that the first year of data used to calculate the Sepsis 
Readmission measure would include patient data from a period of time 
predating the proposal of the measure. We note that the approach of 
including that data in public reporting and payment determination is 
consistent with prior claims-based measure adoptions in the Hospital 
Readmissions Reduction Program. We reiterate that this measure would 
not require any additional data from hospitals and that the proposed 
implementation timeline would support our goal of addressing the health 
care quality gap in sepsis care in a timely manner. Consistent with the 
standard of care for patients with sepsis, we expect that hospitals are 
already providing the types of discharge planning and care coordination 
services that would be expected to minimize readmissions. Additionally, 
more than half of the proposed first reporting period would take place 
after the intended publication date of the FY 2027 IPPS/LTCH PPS final 
rule. This would allow hospitals to make any necessary improvements to 
their discharge planning and care coordination processes. We refer 
readers to the FY 2015 IPPS/LTCH PPS final rule for an example of such 
an instance (79 FR 50033 through 50039). If this measure adoption is 
finalized, we would continue to publicly report readmission rates by 
publicly posting the readmission measure results annually for the 
applicable conditions for each hospital on the Compare tool or 
successor website(s), currently available at https://www.medicare.gov/care-compare/, and on the Provider Data Catalog, available at https://data.cms.gov/provider-data/, as codified at Sec.  412.154(f).
    We invite public comment on our proposal to adopt the Hospital 30-
Day, All-Cause, Risk-Standardized Readmission Rate Following Sepsis 
Hospitalization measure as part of the Hospital Readmissions Reduction 
Program measure set beginning with an early look for the FY 2028 
program year (applicable period of July 1, 2024, to June 30, 2026), and 
use for the FY 2029 program year (applicable period of July 1, 2025, to 
June 30, 2027) and subsequent years.

J. Hospital Value-Based Purchasing Program

1. Background
a. Overview
    For background on the Hospital Value-Based Purchasing Program, we 
refer readers to the CMS website at: https://www.cms.gov/medicare/quality/initiatives/hospital-quality-initiative/hospital-value-based-purchasing. We also refer readers to our codified requirements for the 
Hospital Value-Based Purchasing Program at 42 CFR 412.160 through 
412.168.
b. FY 2027 Program Year Payment Details
    Under section 1886(o)(7)(C)(v) of the Act, the applicable percent 
for the FY 2027 program year is 2.00 percent. Using the methodology we 
adopted in the FY 2013 IPPS/LTCH PPS final rule (77 FR 53571 through 
53573), we estimate that the total amount available for value-based 
incentive payments for FY 2027 is approximately $1.9 billion, based on 
the December 2025 update of the FY 2025 MedPAR file.
    As finalized in the FY 2013 IPPS/LTCH PPS final rule (77 FR 53573 
through 53576), we will utilize a linear exchange function to translate 
this estimated amount available into a value-based incentive payment 
percentage for each hospital, based on its Total Performance Score 
(TPS). We are publishing proxy value-based incentive payment adjustment 
factors in Table 16 associated with this proposed rule (which is 
available via the internet on the CMS website). We note that these 
proxy adjustment factors will not be used to adjust hospital payments. 
These proxy value-based incentive payment adjustment factors were 
calculated using the FY 2027 Hospital Value-Based Purchasing Program 
methodology and historical baseline and performance periods for the FY 
2026 Hospital Value-Based Purchasing Program. These proxy factors were 
calculated using the December 2025 update to the FY 2025 MedPAR file. 
The slope of the linear exchange function used to calculate these proxy 
factors was 3.4503276602, and the estimated amount available for value-
based incentive payments to hospitals for FY 2027 is approximately $1.9 
billion. We intend to include an update to this table, as Table 16A, 
with the FY 2027 IPPS/LTCH PPS final rule, to reflect changes based on 
the March 2026 update to the FY 2025 MedPAR file. We will add Table 16B 
to display the actual value-based incentive payment adjustment factors, 
exchange function slope, and estimated amount available for the FY 2027 
Hospital Value-Based Purchasing Program. We expect that Table 16B will 
be posted on the CMS website in fall 2026.
2. Hospital Value-Based Purchasing Program Measures
    We are proposing to adopt substantive measure updates to five 
condition-specific and procedure-specific mortality measures, in the 
Clinical Outcome domain, beginning with the July 1, 2028 through June 
30, 2030

[[Page 19539]]

performance period for the FY 2032 program year, which we discuss 
further in section IX.B.2. of the preamble of this proposed rule. We 
are proposing these updates contingent on our adopting the same refined 
mortality measures in the Hospital Inpatient Quality Reporting Program 
beginning with the FY 2028 payment determination, which we discuss 
further in section IX.B.2. of the preamble of this proposed rule.
a. Summary of Previously Adopted Quality Measures for the Hospital 
Value-Based Purchasing Program
    We refer readers to the FY 2026 IPPS/LTCH PPS final rule for 
summaries of the previously adopted measures for the FY 2027 through FY 
2031 program years (90 FR 36951). We are not proposing any changes to 
the measure set. Table V.J.1. summarizes the previously adopted 
Hospital Value-Based Purchasing Program measure set for the FY 2027 
program year.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.142

    Table V.J.2. summarizes the previously adopted Hospital Value-Based 
Purchasing Program measures for the FY 2028 through FY 2032 program 
years.

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[[Page 19541]]


3. Baseline and Performance Periods for the FY 2028 Through FY 2032 
Program Years
a. Background
    We refer readers to the FY 2026 IPPS/LTCH PPS final rule (90 FR 
36951 through 36954) for previously adopted baseline and performance 
periods for the FY 2027 through FY 2031 program years. We also refer 
readers to the FY 2017 IPPS/LTCH PPS final rule (81 FR 56998) in which 
we finalized a schedule for all future baseline and performance 
periods.
b. Summary of Baseline and Performance Periods for the FY 2028 Through 
FY 2032 Program Years
    Tables V.J.3., V.J.4., V.J.5., V.J.6., and V.J.7. summarize the 
baseline and performance periods that we have previously adopted.
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4. Performance Standards for the Hospital Value-Based Purchasing 
Program
a. Background
    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69406 through 69407) for previously established performance standards 
for the FY 2027 program year. We also refer readers to the FY 2026 
IPPS/LTCH PPS final rule (90 FR 36955 through 36957) for the previously 
established performance standards for the FY 2028 program year.
b. Previously Established Performance Standards for Certain Measures 
for the FY 2029 Through the FY 2031 Program Years
    We have adopted certain measures for the Safety domain, Clinical 
Outcomes domain, and the Efficiency and Cost Reduction domain for 
future program years to ensure that we can adopt baseline and 
performance periods of sufficient length for performance scoring 
purposes. In the FY 2026 IPPS/LTCH PPS final rule (90 FR 36948 through 
36950), we made technical updates to the Clinical Outcomes domain 
beginning with the FY 2027 program year to include COVID-19 patients in 
the measure data, and thus established new performance standards for 
the FY 2029 through the FY 2031 program years for the Clinical Outcomes 
domain measures (MORT-30-AMI, MORT-30-HF, MORT-30-PN, MORT-30-COPD, 
MORT-30- CABG, and COMP-HIP-KNEE). In the FY 2026 IPPS/LTCH PPS final 
rule (90 FR 36954 through 36955), we made technical updates to the 
Safety domain, such that the five National Healthcare Safety Network 
Healthcare-associated Infection measures (CAUTI, CLABSI, CDI, MRSA 
Bacteremia, and Colon and Abdominal Hysterectomy SSI) would use the CY 
2022 data to calculate performance standards for the FY 2029 program 
year and subsequent years. In the FY 2025 IPPS/LTCH PPS final rule (89 
FR 69409 through 69410), we established performance standards for the 
FY 2029 through the FY 2030 program years for the Efficiency and Cost 
Reduction domain measure (MSPB Hospital). We note that the performance 
standards for the MSPB Hospital measure are based on performance period 
data. Therefore, we are unable to provide numerical equivalents for the 
standards at this time. The previously established performance 
standards for Clinical Outcomes domain and the Efficiency and Cost 
Reduction domain and newly estimated performance standards for the 
Safety domain measures are set out in Table V.J.8. for the FY 2029 
program year.

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    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69507 through 69508) where we finalized the policy to modify the 
scoring of the HCAHPS Survey for the FY 2027 through FY 2029 program 
years while updates to the survey are publicly reported under the 
Hospital Inpatient Quality Reporting Program. Scoring is modified to 
only score hospitals on the six unchanged Hospital Value-Based 
Purchasing Program dimensions of the HCAHPS Survey until the updates to 
the HCAHPS Survey have been publicly reported for one year. The six 
unchanged dimensions of the HCAHPS Survey for the Hospital Value-Based 
Purchasing Program are as follows:
     ``Communication with Nurses,''
     ``Communication with Doctors,''
     ``Communication about Medicines,''
     ``Discharge Information,''
     ``Cleanliness and Quietness,''
     ``Overall Rating.''
    Scoring is modified such that for each of the six unchanged 
dimensions, Achievement Points (0-10 points) and Improvement Points (0-
9 points) will be calculated, the larger of which will be summed across 
these six dimensions to create a pre-normalized HCAHPS Base Score of 0-
60 points (as compared to 0-80 points with the current eight 
dimensions). The pre-normalized HCAHPS Base Score will then be 
multiplied by \8/6\ (1.3333333) and rounded according to standard rules 
(values of 0.5 and higher are rounded up, values below 0.5 are rounded 
down) to create the normalized HCAHPS Base Score. Each of the six 
unchanged dimensions will be of equal weight, so that, as currently 
scored, the normalized HCAHPS Base Score will range from 0 to 80 
points. HCAHPS Consistency Points will be calculated in the same manner 
as the current method and will continue to range from 0 to 20 points. 
Like the Base Score, the Consistency Points Score will consider scores 
across the six unchanged dimensions of the Person and Community 
Engagement domain. The final element of the scoring formula, which will 
remain unchanged from the current formula, will be the sum of the 
HCAHPS Base Score and the HCAHPS Consistency Points Score for a total 
score that ranges from 0 to 100 points. The method for calculating the 
performance standards for the six dimensions will remain unchanged. We 
refer readers to the Hospital Inpatient Value-Based Purchasing Program 
final rule (76 FR 26511 through 26512) for our methodology for 
calculating performance standards. The estimated performance standards 
for the six unchanged dimensions for the FY 2029 program year are set 
out in Table V.J.9.

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    The previously established performance standards for Clinical 
Outcomes domain and the Efficiency and Cost Reduction domain measures 
are set out in Table V.J.10. for the FY 2030 program year.
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    The previously established performance standards for Clinical 
Outcomes domain and the Efficiency and Cost Reduction domain measures 
are set out in Table V.J.11. for the FY 2031 program year.

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c. Newly Established Performance Standards for Certain Measures for the 
FY 2032 Program Year
    As discussed previously, we have adopted certain measures for the 
Clinical Outcomes domain (MORT-30- AMI, MORT-30-HF, MORT-30-PN, MORT-
30-COPD, MORT-30-CABG, and COMP-HIP- KNEE) and the Efficiency and Cost 
Reduction domain (MSPB Hospital) for future program years to ensure 
that we can adopt baseline and performance periods of sufficient length 
for performance scoring purposes. In accordance with our methodology 
for calculating performance standards discussed more fully in the 
Hospital Inpatient Value-Based Purchasing Program final rule (76 FR 
26511 through 26512), which is codified at 42 CFR 412.160, we are 
establishing the following performance standards for the FY 2032 
program year for the Clinical Outcomes domain and the Efficiency and 
Cost Reduction domain. We note that the performance standards for the 
MSPB Hospital measure are based on performance period data. Therefore, 
we are unable to provide numerical equivalents for the standards at 
this time. The newly established performance standards for these 
measures are set out in Table V.J.12.
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BILLING CODE 4120-01-C
K. Hospital-Acquired Condition (HAC) Reduction Program
    We refer readers to the FY 2014 IPPS/LTCH PPS final rule (78 FR 
50707 through 50709) for a general overview of the HAC Reduction 
Program and a detailed discussion of the statutory basis for the 
program. We also refer readers to 42 CFR 412.170 through 412.172 for 
codified HAC Reduction Program requirements. For additional information 
about the HAC Reduction Program measures and maintenance of technical 
specifications, we refer readers to the FY 2026 IPPS/LTCH PPS final 
rule (90 FR 36963 through 36967).
    We are not making any proposals or updates for the HAC Reduction 
Program in this proposed rule. We refer readers to section I.G.8. of 
Appendix A of this

[[Page 19547]]

proposed rule for an updated estimate of the proportion of hospitals in 
the worst performing quartile of the Total HAC Scores for the FY 2027 
HAC Reduction Program.

L. Rural Community Hospital Demonstration Program

1. Introduction
    The Rural Community Hospital Demonstration was originally 
authorized by section 410A of the Medicare Prescription Drug, 
Improvement, and Modernization Act of 2003 (MMA) (Pub. L. 108-173). The 
demonstration has been extended three times since the original 5-year 
period mandated by the MMA, each time for an additional 5 years. These 
extensions were authorized by sections 3123 and 10313 of the Patient 
Protection and Affordable Care Act (ACA) (Pub. L. 111-148), section 
15003 of the 21st Century Cures Act (Pub. L. 114-255) (Cures Act) 
enacted in 2016, and most recently, by section 128 of the Consolidated 
Appropriations Act, 2021 (Pub. L. 116-260), which also reauthorized the 
RCHD for five years. Later in this section we summarize the status of 
the demonstration program and the current methodologies for 
implementation and calculating budget neutrality.
2. Background
    Section 410A(a) of the MMA required the Secretary to establish a 
demonstration program to test the feasibility and advisability of 
establishing rural community hospitals to furnish covered inpatient 
hospital services to Medicare beneficiaries. The demonstration pays 
rural community hospitals under a reasonable cost-based methodology for 
Medicare payment purposes for covered inpatient hospital services 
furnished to Medicare beneficiaries. A rural community hospital, as 
defined in section 410A(f)(1), is a hospital that--
     Is located in a rural area (as defined in section 
1886(d)(2)(D) of the Act) or is treated as being located in a rural 
area under section 1886(d)(8)(E) of the Act;
     Has fewer than 51 beds (excluding beds in a distinct part 
psychiatric or rehabilitation unit) as reported in its most recent cost 
report;
     Provides 24-hour emergency care services; and
     Is not designated or eligible for designation as a CAH 
under section 1820 of the Act.
    Our policy for implementing the 5-year extension period authorized 
by the CAA, 2021 follows upon the previous extensions under the ACA and 
the Cures Act. Section 410A of the MMA initially required a 5-year 
period of performance. Subsequently, sections 3123 and 10313 of the ACA 
(Pub. L. 111-148) required the Secretary to conduct the demonstration 
program for an additional 5-year period, to begin on the date 
immediately following the last day of the initial 5year period. In 
addition, the ACA (Pub. L. 111-148) limited the number of hospitals 
participating to no more than 30. Section 15003 of the Cures Act (Pub. 
L. 114-255) required a 10-year extension period in place of the 5-year 
extension period under the ACA (Pub. L. 111-148), thereby extending the 
demonstration for another 5 years. Section 128 of CAA, 2021 (Pub. L. 
116-260), in turn, revised the statute to indicate a 15-year extension 
period, instead of the 10-year extension period mandated by the Cures 
Act (Pub. L. 114-255). The FY 2023 IPPS proposed and final rules (87 FR 
28454 through 28458, and 87 FR 49138 through 49142, respectively) 
describe hospitals entering into and withdrawing from the demonstration 
with these re-authorizations. As of March 2026, there are 27 hospitals 
participating in the demonstration.
2. Budget Neutrality
a. Statutory Budget Neutrality Requirement
    Section 410A(c)(2) of the MMA (Pub. L. 108-173) requires that, in 
conducting the demonstration program under this section, the Secretary 
shall ensure that the aggregate payments made by the Secretary do not 
exceed the amount that the Secretary would have paid if the 
demonstration program under this section was not implemented. This 
requirement is commonly referred to as ``budget neutrality.'' 
Generally, when we implement a demonstration program on a budget 
neutral basis, the demonstration program is budget neutral on its own 
terms; the aggregate payments to the participating hospitals do not 
exceed the amount that would be paid to those same hospitals in the 
absence of the demonstration program. We note that the payment 
methodology for this demonstration, that is, cost-based payments to 
participating small rural hospitals, made it unlikely that increased 
Medicare outlays would produce an offsetting reduction to Medicare 
expenditures elsewhere. Therefore, in the IPPS final rules spanning the 
period from FY 2005 through FY 2016, we have adjusted the national IPPS 
rates by an amount sufficient to account for the added costs of this 
demonstration program, applying budget neutrality across the payment 
system as a whole rather than merely across the participants in the 
demonstration program. We applied a different methodology for FY 2017, 
with the demonstration expected to end prior to the Cures Act 
extension. As described in the FYs 2005 through 2017 IPPS/LTCH PPS 
final rules (69 FR 49183; 70 FR 47462; 71 FR 48100; 72 FR 47392; 73 FR 
48670; 74 FR 43922, 75 FR 50343, 76 FR 51698, 77 FR 53449, 78 FR 50740, 
77 FR 50145; 80 FR 49585; and 81 FR 57034, respectively), we believe 
that the statutory language of the budget neutrality requirements 
permits the agency to implement the budget neutrality provision in this 
manner.
    We resumed this methodology of offsetting demonstration costs 
against the national payment rates in the IPPS final rules from FY 2018 
through FY 2026. Please see the FY 2026 IPPS/LTCH PPS final rule for a 
description of how we applied the budget neutrality requirement for 
these fiscal years (90 FR 36967 through 36969).
b. General Budget Neutrality Methodology
    We have generally incorporated two components into the budget 
neutrality offset amounts identified in the final IPPS rules in 
previous years. First, we have estimated the costs of the demonstration 
for the upcoming fiscal year, generally determined from historical, 
``as submitted'' cost reports for the hospitals participating in that 
year. Updated factors representing nationwide trends in cost and volume 
increases have been incorporated into these estimates, as specified in 
the methodology described in the final rule for each fiscal year. 
Second, as finalized cost reports became available, we determined the 
amount by which the actual costs of the demonstration for an earlier, 
given year differed from the estimated costs for the demonstration set 
forth in the final IPPS rule for the corresponding fiscal year, and 
incorporated that amount into the budget neutrality offset amount for 
the upcoming fiscal year. If the actual costs for the demonstration for 
the earlier fiscal year exceeded the estimated costs of the 
demonstration identified in the final rule for that year, this 
difference was added to the estimated costs of the demonstration for 
the upcoming fiscal year when determining the budget neutrality 
adjustment for the upcoming fiscal year. Conversely, if the estimated 
costs of the demonstration set forth in the final rule for a prior 
fiscal year exceeded the actual costs of the demonstration for that 
year, this difference was subtracted from the estimated cost of the 
demonstration for

[[Page 19548]]

the upcoming fiscal year when determining the budget neutrality 
adjustment for the upcoming fiscal year. For historical development and 
modifications to this methodology, see 81 FR 57034 through 57037.
    We note that we have calculated this difference for FYs 2005 
through 2020 between the actual costs of the demonstration as 
determined from finalized cost reports once available, and estimated 
costs of the demonstration as identified in the applicable IPPS final 
rules for these years.
c. Budget Neutrality Methodology for the Extension Period Authorized by 
CAA, 2021
    For the most-recently enacted extension period, under the CAA, 
2021, we have continued upon the general budget neutrality methodology 
used in previous years, as described previously in the citations to 
earlier IPPS final rules.
    Under the general methodology used in previous years, we have 
estimated the costs of the demonstration for the upcoming fiscal year, 
and proposed to incorporate the estimate into the budget neutrality 
offset amount to be applied to the national IPPS rates for the upcoming 
fiscal year. We are conducting this estimate for FY 2027 based on the 
30 participating hospitals for cost report periods ending in CY2024. 
However, due to timing issues with the addition of 11 new hospitals in 
2025, we are not yet able to finalize the estimated FY 2027 costs of 
the demonstration at this time. We anticipate that all of the 
historical ``as submitted'' cost reports needed to formulate estimated 
demonstration costs for FY 2027 and FY 2028 will be available in 
advance of the FY 2028 IPPS/LTCH PPS proposed rule and we will be able 
to finalize estimated demonstration costs for both FY 2027 and FY 2028.
    As noted, in previous years we have also calculated the difference 
between the actual costs of the demonstration and estimated costs of 
the demonstration for FYs 2005 through 2020 as determined from 
finalized cost reports. We intend to continue with this approach and 
anticipate that we will be able to determine the actual costs for the 
demonstration for FY 2021 and FY 2022 from finalized cost reports in 
advance of the FY 2028 IPPS/LTCH PPS proposed rule. Consistent with our 
methods in previous years these differences will be applied to the 
estimated costs of the demonstration when determining the FY 2027 and 
FY 2028 budget neutrality offsets.
    As we are not yet able to finalize the FY 2027 estimated costs of 
the demonstration at this time, we are not proposing to apply a budget 
neutrality offset to the FY 2027 IPPS/LTCH PPS proposed rule. Rather, 
we are proposing to apply budget neutrality offsets for both FY 2027 
and FY 2028 to the national IPPS rates in the FY 2028 IPPS/LTCH PPS 
proposed rule. We will also incorporate any statutory change that might 
affect the methodology for determining hospital costs either with or 
without the demonstration. We invite public comments.

VI. Proposed Changes to the IPPS for Capital-Related Costs

A. Overview

    Section 1886(g) of the Act requires the Secretary to pay for the 
capital-related costs of inpatient acute hospital services in 
accordance with a prospective payment system established by the 
Secretary. Under the statute, the Secretary has broad authority in 
establishing and implementing the IPPS for acute care hospital 
inpatient capital-related costs. We initially implemented the IPPS for 
capital-related costs in the FY 1992 IPPS final rule (56 FR 43358). In 
that final rule, we established a 10-year transition period to change 
the payment methodology for Medicare hospital inpatient capital-related 
costs from a reasonable cost-based payment methodology to a prospective 
payment methodology (based fully on the Federal rate).
    FY 2001 was the last year of the 10-year transition period that was 
established to phase in the IPPS for hospital inpatient capital-related 
costs. For cost reporting periods beginning in FY 2002, capital IPPS 
payments are based solely on the Federal rate for almost all acute care 
hospitals (other than hospitals receiving certain exception payments 
and certain new hospitals). (We refer readers to the FY 2002 IPPS final 
rule (66 FR 39910 through 39914) for additional information on the 
methodology used to determine capital IPPS payments to hospitals both 
during and after the transition period.)
    The basic methodology for determining capital prospective payments 
using the Federal rate is set forth in the regulations at 42 CFR 
412.312. For the purpose of calculating capital payments for each 
discharge, the standard Federal rate is adjusted as follows:

(Standard Federal Rate) x (DRG Weight) x (Geographic Adjustment Factor 
(GAF) x (COLA for hospitals located in Alaska and Hawaii) x (1 + 
Capital DSH Adjustment Factor + Capital IME Adjustment Factor, if 
applicable).

    In addition, under Sec.  412.312(c), hospitals also may receive 
outlier payments under the capital IPPS for extraordinarily high-cost 
cases that qualify under the thresholds established for each fiscal 
year.

B. Additional Provisions

1. Exception Payments
    The regulations at 42 CFR 412.348 provide for certain exception 
payments under the capital IPPS. The regular exception payments 
provided under Sec.  412.348(b) through (e) were available only during 
the 10-year transition period. For a certain period after the 
transition period, eligible hospitals may have received additional 
payments under the special exceptions provisions at Sec.  412.348(g). 
However, FY 2012 was the final year hospitals could receive special 
exceptions payments. For additional details regarding these exceptions 
policies, we refer readers to the FY 2012 IPPS/LTCH PPS final rule (76 
FR 51725).
    Under Sec.  412.348(f), a hospital may request an additional 
payment if the hospital incurs unanticipated capital expenditures in 
excess of $5 million due to extraordinary circumstances beyond the 
hospital's control. Additional information on the exception payment for 
extraordinary circumstances in Sec.  412.348(f) can be found in the FY 
2005 IPPS final rule (69 FR 49185 and 49186).
2. New Hospitals
    Under the capital IPPS, the regulations at 42 CFR 412.300(b) define 
a new hospital as a hospital that has operated (under previous or 
current ownership) for less than 2 years and lists examples of 
hospitals that are not considered new hospitals. In accordance with 
Sec.  412.304(c)(2), under the capital IPPS, a new hospital is paid 85 
percent of its allowable Medicare inpatient hospital capital related 
costs through its first 2 years of operation, unless the new hospital 
elects to receive full prospective payment based on 100 percent of the 
Federal rate. We refer readers to the FY 2012 IPPS/LTCH PPS final rule 
(76 FR 51725) for additional information on payments to new hospitals 
under the capital IPPS.
3. Payments for Hospitals Located in Puerto Rico
    In the FY 2017 IPPS/LTCH PPS final rule (81 FR 57061), we revised 
the regulations at 42 CFR 412.374 relating to the calculation of 
capital IPPS payments to hospitals located in Puerto Rico

[[Page 19549]]

beginning in FY 2017 to parallel the change in the statutory 
calculation of operating IPPS payments to hospitals located in Puerto 
Rico, for discharges occurring on or after January 1, 2016, made by 
section 601 of the Consolidated Appropriations Act, 2016 (Pub. L. 114-
113). Section 601 of Pub. L. 114-113 increased the applicable Federal 
percentage of the operating IPPS payment for hospitals located in 
Puerto Rico from 75 percent to 100 percent and decreased the applicable 
Puerto Rico percentage of the operating IPPS payments for hospitals 
located in Puerto Rico from 25 percent to zero percent, applicable to 
discharges occurring on or after January 1, 2016. As such, under 
revised Sec.  412.374, for discharges occurring on or after October 1, 
2016, capital IPPS payments to hospitals located in Puerto Rico are 
based on 100 percent of the capital Federal rate.

C. Proposed Annual Update for FY 2027

    The proposed annual update to the national capital Federal rate, as 
provided in 42 CFR 412.308(c), for FY 2027 is discussed in section III. 
of the Addendum to this FY 2027 IPPS/LTCH PPS proposed rule.

VII. Proposed Changes for Hospitals Excluded From the IPPS

A. Proposed Rate-of-Increase in Payments to Excluded Hospitals for FY 
2027

    Certain hospitals excluded from a prospective payment system, 
including children's hospitals, 11 cancer hospitals, and hospitals 
located outside the 50 States, the District of Columbia, and Puerto 
Rico (that is, hospitals located in the U.S. Virgin Islands, Guam, the 
Northern Mariana Islands, and American Samoa) receive payment for 
inpatient hospital services they furnish on the basis of reasonable 
costs, subject to a rate-of-increase ceiling. A per discharge limit 
(the target amount, as defined in Sec.  413.40(a) of the regulations) 
is set for each hospital based on the hospital's own cost experience in 
its base year, and updated annually by a rate-of-increase percentage. 
For each cost reporting period, the updated target amount is multiplied 
by total Medicare discharges during that period and applied as an 
aggregate upper limit (the ceiling as defined in Sec.  413.40(a)) of 
Medicare reimbursement for total inpatient operating costs for a 
hospital's cost reporting period. In accordance with Sec.  403.752(a) 
of the regulations, religious nonmedical health care institutions 
(RNHCIs) also are subject to the rate-of-increase limits established 
under Sec.  413.40 of the regulations discussed previously. 
Furthermore, in accordance with Sec.  412.526(c)(3) of the regulations, 
extended neoplastic disease care hospitals (formerly classified as 
``Subclause II LTCs'') also are subject to the rate-of-increase limits 
established under Sec.  413.40 of the regulations discussed previously.
    As explained in the FY 2006 IPPS final rule (70 FR 47396 through 
47398), beginning with FY 2006, we have used the percentage increase in 
the IPPS operating market basket to update the target amounts for 
children's hospitals, the 11 cancer hospitals, and RNHCIs.
    Consistent with the regulations at Sec. Sec.  412.23(g) and 
413.40(a)(2)(ii)(A) and (c)(3)(viii), we also have used the percentage 
increase in the IPPS operating market basket to update target amounts 
for short-term acute care hospitals located in the U.S. Virgin Islands, 
Guam, the Northern Mariana Islands, and American Samoa. In the FY 2022 
IPPS/LTCH PPS final rule (86 FR 45194 through 45207), we finalized the 
use of the percentage increase in the 2018-based IPPS operating market 
basket to update the target amounts for children's hospitals, the 11 
cancer hospitals, RNHCIs, and short-term acute care hospitals located 
in the U.S. Virgin Islands, Guam, the Northern Mariana Islands, and 
American Samoa for FY 2022 and subsequent fiscal years. As discussed in 
section IV. of the preamble of the FY 2026 IPPS/LTCH PPS final rule (90 
FR 36859 through 36866), we rebased and revised the IPPS operating 
basket to a 2023 base year. Therefore, we used the percentage increase 
in the 2023-based IPPS operating market basket to update the target 
amounts for children's hospitals, the 11 cancer hospitals, RNHCIs, and 
short-term acute care hospitals located in the U.S. Virgin Islands, 
Guam, the Northern Mariana Islands, and American Samoa for FY 2026.
    For this FY 2027 IPPS/LTCH PPS proposed rule, based on IGI's 2025 
fourth quarter forecast, we estimate that the 2023-based IPPS operating 
market basket percentage increase for FY 2027 is 3.2 percent (that is, 
the estimate of the market basket rate-of-increase). Based on this 
estimate, the FY 2027 rate-of-increase percentage that will be applied 
to the FY 2026 target amounts in order to calculate the FY 2027 target 
amounts for children's hospitals, the 11 cancer hospitals, RNHCIs, and 
short-term acute care hospitals located in the U.S. Virgin Islands, 
Guam, the Northern Mariana Islands, and American Samoa is 3.2 percent, 
in accordance with the applicable regulations at 42 CFR 413.40. 
Furthermore, we are proposing that if more recent data become available 
for the FY 2027 IPPS/LTCH PPS final rule, we would use such data, if 
appropriate, to calculate the final IPPS operating market basket 
percentage increase for FY 2027.
    In addition, payment for inpatient operating costs for hospitals 
classified under section 1886(d)(1)(B)(vi) of the Act (which we refer 
to as ``extended neoplastic disease care hospitals'') for cost 
reporting periods beginning on or after January 1, 2015, is to be made 
as described in 42 CFR 412.526(c)(3), and payment for capital costs for 
these hospitals is to be made as described in 42 CFR 412.526(c)(4), 
(for additional information on these payment regulations, we refer 
readers to the FY 2018 IPPS/LTCH PPS final rule (82 FR 38321 through 
38322).) Section 412.526(c)(3) provides that the hospital's Medicare 
allowable net inpatient operating costs for that period are paid on a 
reasonable cost basis, subject to that hospital's ceiling, as 
determined under Sec.  412.526(c)(1), for that period. Under Sec.  
412.526(c)(1), for each cost reporting period, the ceiling was 
determined by multiplying the updated target amount, as defined in 
Sec.  412.526(c)(2), for that period by the number of total Medicare 
discharges paid during that period. Section 412.526(c)(2)(i) describes 
the method for determining the target amount for cost reporting periods 
beginning during FY 2015. Section 412.526(c)(2)(ii) specifies that, for 
cost reporting periods beginning during fiscal years after FY 2015, the 
target amount will equal the hospital's target amount for the previous 
cost reporting period updated by the applicable annual rate-of-increase 
percentage specified in Sec.  413.40(c)(3) for the subject cost 
reporting period (79 FR 50197).
    For FY 2027, in accordance with Sec. Sec.  412.22(i) and 
412.526(c)(2)(ii) of the regulations, for cost reporting periods 
beginning during FY 2027, the proposed update to the target amount for 
extended neoplastic disease care hospitals (that is, hospitals 
described under Sec.  412.22(i)) is the applicable annual rate-of-
increase percentage specified in Sec.  413.40(c)(3), which is estimated 
to be the proposed percentage increase in the 2023-based IPPS operating 
market basket (that is, the estimate of the market basket rate-of-
increase). Accordingly, the proposed update to an extended neoplastic 
disease care hospital's target amount for FY 2027 is 3.2 percent, which 
is based on IGI's fourth quarter 2025 forecast. Furthermore, we are 
proposing that if more recent data become available for the FY 2027 
IPPS/LTCH PPS final rule,

[[Page 19550]]

we would use such data, if appropriate, to calculate the IPPS operating 
market basket rate of increase for FY 2027.

B. Critical Access Hospitals (CAHs)

1. Background
    Section 1820 of the Act provides for the establishment of Medicare 
Rural Hospital Flexibility Programs (MRHFPs), under which individual 
States may designate certain facilities as critical access hospitals 
(CAHs). Facilities that are so designated and meet the CAH conditions 
of participation under 42 CFR part 485, subpart F, will be certified as 
CAHs by CMS. Regulations governing payments to CAHs for services to 
Medicare beneficiaries are located in 42 CFR part 413.
2. Frontier Community Health Integration Project Demonstration
a. Introduction
    The Frontier Community Health Integration Project Demonstration was 
originally authorized by section 123 of the Medicare Improvements for 
Patients and Providers Act of 2008 (Pub L. 110-275). The demonstration 
has been extended by section 129 of the Consolidated Appropriations 
Act, 2021 (Pub. L. 116-260) for an additional 5 years. In this proposed 
rule, we are summarizing the status of the demonstration program, and 
the ongoing methodologies for implementation and budget neutrality for 
the demonstration extension period.
b. Background and Overview
    As discussed in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36971 
through 36975), section 123 of the Medicare Improvements for Patients 
and Providers Act of 2008, as amended by section 3126 of the Affordable 
Care Act, authorized a demonstration project to allow eligible entities 
to develop and test new models for the delivery of health care services 
in eligible counties in order to improve access to and better integrate 
the delivery of acute care, extended care and other health care 
services to Medicare beneficiaries. The demonstration was titled 
``Demonstration Project on Community Health Integration Models in 
Certain Rural Counties,'' and commonly known as the Frontier Community 
Health Integration Project (FCHIP) Demonstration.
    The authorizing statute stated the eligibility criteria for 
entities to be able to participate in the demonstration. An eligible 
entity, as defined in section 123(d)(1)(B) of Public Law 110-275, as 
amended, is a Medicare Rural Hospital Flexibility Program (MRHFP) 
grantee under section 1820(g) of the Act (that is, a CAH); and is 
located in a State in which at least 65 percent of the counties in the 
state are counties that have 6 or less residents per square mile.
    The authorizing statute stipulated several other requirements for 
the demonstration. In addition, section 123(g)(1)(B) of Public Law 110-
275 required that the demonstration be budget neutral. Specifically, 
this provision stated that, in conducting the demonstration project, 
the Secretary shall ensure that the aggregate payments made by the 
Secretary do not exceed the amount which the Secretary estimates would 
have been paid if the demonstration project under the section were not 
implemented. Furthermore, section 123(i) of Public Law 110-275 stated 
that the Secretary may waive such requirements of titles XVIII and XIX 
of the Act as may be necessary and appropriate for the purpose of 
carrying out the demonstration project, thus allowing the waiver of 
Medicare payment rules encompassed in the demonstration. CMS selected 
CAHs to participate in four interventions, under which specific waivers 
of Medicare payment rules would allow for enhanced payment for 
telehealth, skilled nursing facility/nursing facility beds, ambulance 
services, and home health services. These waivers were formulated with 
the goal of increasing access to care with no net increase in costs.
    Section 123 of Public Law 110-275 initially required a 3-year 
period of performance. The FCHIP Demonstration began on August 1, 2016, 
and concluded on July 31, 2019 (referred to in this section of the 
proposed rule as the ``initial period''). Subsequently, section 129 of 
the Consolidated Appropriations Act, 2021 (Pub. L. 116-260) extended 
the demonstration by 5 years (referred to in this section of the 
proposed rule as the ``extension period''). The Secretary is required 
to conduct the demonstration for an additional 5-year period. CAHs 
participating in the demonstration project during the extension period 
began such participation in their cost reporting year that began on or 
after January 1, 2022.
    As described in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36971 
through 36975), 10 CAHs were selected for participation in the 
demonstration initial period. The selected CAHs were located in three 
states--Montana, Nevada, and North Dakota--and participated in three of 
the four interventions identified in the FY 2025 IPPS/LTCH PPS final 
rule. Each CAH was allowed to participate in more than one of the 
interventions. None of the selected CAHs were participants in the home 
health intervention, which was the fourth intervention.
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45323 through 
45328), CMS concluded that the initial period of the FCHIP 
Demonstration (covering the performance period of August 1, 2016, to 
July 31, 2019) had satisfied the budget neutrality requirement 
described in section 123(g)(1)(B) of Public Law 110-275. Therefore, CMS 
did not apply a budget neutrality payment offset policy for the initial 
period of the demonstration.
    Section 129 of Public Law 116-260, stipulates that only the 10 CAHs 
that participated in the initial period of the FCHIP Demonstration are 
eligible to participate during the extension period. Among the eligible 
CAHs, five have elected to participate in the extension period. The 
selected CAHs are located in two states--Montana and North Dakota--and 
are implementing three of the four interventions. The eligible CAH 
participants elected to change the number of interventions and payment 
waivers they would participate in during the extension period. CMS 
accepted and approved the CAHs intervention and payment waiver updates. 
For the extension period, five CAHs are participants in the telehealth 
intervention, three CAHs are participants in the skilled nursing 
facility/nursing facility bed intervention, and three CAHs are 
participants in the ambulance services intervention. As with the 
initial period, each CAH was allowed to participate in more than one of 
the interventions during the extension period. None of the selected 
CAHs are participants in the home health intervention, which was the 
fourth intervention.
c. Intervention Payment and Payment Waivers
    As described in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36971 
through 36975), CMS waived certain Medicare rules for CAHs 
participating in the demonstration initial period to allow for 
alternative reasonable cost-based payment methods in the three distinct 
intervention service areas: telehealth services, ambulance services, 
and skilled nursing facility/nursing facility (SNF/NF) beds expansion. 
The payments and payment waiver provisions only apply if the CAH is a 
participant in the associated intervention. CMS Intervention Payment 
and Payment Waivers for the demonstration extension period consist of 
the following:

[[Page 19551]]

(1) Telehealth Services Intervention Payments
    CMS waives section 1834(m)(2)(B) of the Act, which specifies the 
facility fee to the originating site for Medicare telehealth services. 
CMS modifies the facility fee payment specified under section 
1834(m)(2)(B) of the Act to make reasonable cost-based reimbursement to 
the participating CAH where the participating CAH serves as the 
originating site for a telehealth service furnished to an eligible 
telehealth individual, as defined in section 1834(m)(4)(B) of the Act. 
CMS reimburses the participating CAH serving as the originating site at 
101 percent of its reasonable costs for overhead, salaries and fringe 
benefits associated with telehealth services at the participating CAH. 
CMS does not fund or provide reimbursement to the participating CAH for 
the purchase of new telehealth equipment.
    CMS waives section 1834(m)(2)(A) of the Act, which specifies that 
the payment for a telehealth service furnished by a distant site 
practitioner is the same as it would be if the service had been 
furnished in-person. CMS modifies the payment amount specified for 
telehealth services under section 1834(m)(2)(A) of the Act to make 
reasonable cost-based reimbursement to the participating CAH for 
telehealth services furnished by a physician or practitioner located at 
distant site that is a participating CAH that is billing for the 
physician or practitioner professional services. Whether the 
participating CAH has or has not elected Optional Payment Method II for 
outpatient services, CMS would pay the participating CAH 101 percent of 
reasonable costs for telehealth services when a physician or 
practitioner has reassigned their billing rights to the participating 
CAH and furnishes telehealth services from the participating CAH as a 
distant site practitioner. This means that participating CAHs that are 
billing under the Standard Method on behalf of employees who are 
physicians or practitioners (as defined in section 1834(m)(4)(D) and 
(E) of the Act, respectively) would be eligible to bill for distant 
site telehealth services furnished by these physicians and 
practitioners. Additionally, CAHs billing under the Optional Method 
would be reimbursed based on 101 percent of reasonable costs, rather 
than paid based on the Medicare physician fee schedule, for the distant 
site telehealth services furnished by physicians and practitioners who 
have reassigned their billing rights to the CAH. For distant site 
telehealth services furnished by physicians or practitioners who have 
not reassigned billing rights to a participating CAH, payment to the 
distant site physician or practitioner would continue to be made as 
usual under the Medicare physician fee schedule. Except as described 
herein, CMS does not waive any other provisions of section 1834(m) of 
the Act for purposes of the telehealth services intervention payments, 
including the scope of Medicare telehealth services as established 
under section 1834(m)(4)(F) of the Act.
(2) Ambulance Services Intervention Payments
    CMS waives 42 CFR 413.70(b)(5)(i)(D) and section 1834(l)(8) of the 
Act, which provides that payment for ambulance services furnished by a 
CAH, or an entity owned and operated by a CAH, is 101 percent of the 
reasonable costs of the CAH or the entity in furnishing the ambulance 
services, but only if the CAH or the entity is the only provider or 
supplier of ambulance services located within a 35-mile drive of the 
CAH, excluding ambulance providers or suppliers that are not legally 
authorized to furnish ambulance services to transport individuals to or 
from the CAH. The participating CAH would be paid 101 percent of 
reasonable costs for its ambulance services regardless of whether there 
is any provider or supplier of ambulance services located within a 35-
mile drive of the participating CAH or participating CAH-owned and 
operated entity. CMS would not make cost-based payment to the 
participating CAH for any new capital (for example, vehicles) 
associated with ambulance services. This waiver does not modify any 
other Medicare rules regarding or affecting the provision of ambulance 
services.
(3) SNF/NF Beds Expansion Intervention Payments
    CMS waives 42 CFR 485.620(a), 42 CFR 485.645(a)(2), and section 
1820(c)(2)(B)(iii) of the Act which limit CAHs to maintaining no more 
than 25 inpatient beds, including beds available for acute inpatient or 
swing bed services. CMS waives 1820(f) of the Act permitting 
designating or certifying a facility as a critical access hospital for 
which the facility at any time is furnishing inpatient beds which 
exceed more than 25 beds. Under this waiver, if the participating CAH 
has received swing bed approval from CMS, the participating CAH may 
maintain up to ten additional beds (for a total of 35 beds) available 
for acute inpatient or swing bed services; however, the participating 
CAH may only use these 10 additional beds for nursing facility or 
skilled nursing facility level of care. CMS would pay the participating 
CAH 101 percent of reasonable costs for its SNF/NF services furnished 
in the 10 additional beds.
d. Budget Neutrality
(1) Budget Neutrality Requirement
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45323 through 
45328), we finalized a policy to address the budget neutrality 
requirement for the demonstration initial period. As explained in the 
FY 2022 IPPS/LTCH PPS final rule, we based our selection of CAHs for 
participation in the demonstration with the goal of maintaining the 
budget neutrality of the demonstration on its own terms, meaning that 
the demonstration would produce savings from reduced transfers and 
admissions to other health care providers, offsetting any increase in 
Medicare payments as a result of the demonstration. However, because of 
the small size of the demonstration and uncertainty associated with the 
projected Medicare utilization and costs, the policy we finalized for 
the demonstration initial period of performance in the FY 2022 IPPS/
LTCH PPS final rule provides a contingency plan to ensure that the 
budget neutrality requirement in section 123 of Public Law 110-275 is 
met.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49144 through 
49147), we adopted the same budget neutrality policy contingency plan 
used during the demonstration initial period to ensure that the budget 
neutrality requirement in section 123 of Public Law 110 275 is met 
during the demonstration extension period. If analysis of claims data 
for Medicare beneficiaries receiving services at each of the 
participating CAHs, as well as from other data sources, including cost 
reports for the participating CAHs, shows that increases in Medicare 
payments under the demonstration during the 5-year extension period are 
not sufficiently offset by reductions elsewhere, we would recoup the 
additional expenditures attributable to the demonstration through a 
reduction in payments to all CAHs nationwide.
    As explained in the FY 2023 IPPS/LTCH PPS final rule, because of 
the small scale of the demonstration, we indicated that we did not 
believe it would be feasible to implement budget neutrality for the 
demonstration extension period by reducing payments to only the 
participating CAHs. Therefore, in the event that this demonstration 
extension period is

[[Page 19552]]

found to result in aggregate payments in excess of the amount that 
would have been paid if this demonstration extension period were not 
implemented, CMS policy is to comply with the budget neutrality 
requirement finalized in the FY 2023 IPPS/LTCH PPS final rule, by 
reducing payments to all CAHs, not just those participating in the 
demonstration extension period.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49144 through 
49147), we stated that we believe it is appropriate to make any payment 
reductions across all CAHs because the FCHIP Demonstration was 
specifically designed to test innovations that affect delivery of 
services by the CAH provider category. We explained our belief that the 
language of the statutory budget neutrality requirement at section 
123(g)(1)(B) of Public Law 110-275 permits the agency to implement the 
budget neutrality provision in this manner. The statutory language 
merely refers to ensuring that aggregate payments made by the Secretary 
do not exceed the amount which the Secretary estimates would have been 
paid if the demonstration project was not implemented and does not 
identify the range across which aggregate payments must be held equal.
    In the FY 2023 IPPS/LTCH PPS final rule, we finalized a policy that 
in the event the demonstration extension period is found not to have 
been budget neutral, any excess costs would be recouped within one 
fiscal year. We explained our belief that this policy is a more 
efficient timeframe for the government to conclude the demonstration 
operational requirements (such as analyzing claims data, cost report 
data or other data sources) to adjudicate the budget neutrality payment 
recoupment process due to any excess cost that occurred as result of 
the demonstration extension period.
(2) FCHIP Budget Neutrality Methodology and Analytical Approach
    As explained in the FY 2022 IPPS/LTCH PPS final rule, we finalized 
a policy to address the demonstration budget neutrality methodology and 
analytical approach for the initial period of the demonstration. In the 
FY 2023 IPPS/LTCH PPS final rule, we finalized a policy to adopt the 
budget neutrality methodology and analytical approach used during the 
demonstration initial period to ensure budget neutrality for the 
extension period. The analysis of budget neutrality during the initial 
period of the demonstration identified both the costs related to 
providing the intervention services under the FCHIP Demonstration and 
any potential downstream effects of the intervention-related services, 
including any savings that may have accrued.
    The budget neutrality analytical approach for the demonstration 
initial period incorporated two major data components: (1) Medicare 
cost reports; and (2) Medicare administrative claims. As described in 
the FY 2022 IPPS/LTCH PPS final rule (86 FR 45323 through 45328), CMS 
computed the cost of the demonstration for each fiscal year of the 
demonstration initial period using Medicare cost reports for the 
participating CAHs, and Medicare administrative claims and enrollment 
data for beneficiaries who received demonstration intervention 
services.
    In addition, in order to capture the full impact of the 
interventions, CMS developed a statistical modeling, Difference-in-
Difference (DiD) regression analysis to estimate demonstration 
expenditures and compute the impact of expenditures on the intervention 
services by comparing cost data for the demonstration and non-
demonstration groups using Medicare administrative claims across the 
demonstration period of performance under the initial period of the 
demonstration. The DiD regression analysis would compare the direct 
cost and potential downstream effects of intervention services, 
including any savings that may have accrued, during the baseline and 
performance period for both the demonstration and comparison groups.
    Second, the Medicare administrative claims analysis would be 
reconciled using data obtained from auditing the participating CAHs' 
Medicare cost reports. We would estimate the costs of the demonstration 
using ``as submitted'' cost reports for each hospital's financial 
fiscal year participation within each of the demonstration extension 
period performance years. Each CAH has its own Medicare cost report end 
date applicable to the 5-year period of performance for the 
demonstration extension period. The cost report is structured to gather 
costs, revenues and statistical data on the provider's financial fiscal 
period. As a result, we finalized a policy in the FY 2023 IPPS/LTCH PPS 
final rule that we would determine the final budget neutrality results 
for the demonstration extension once complete data is available for 
each CAH for the demonstration extension period.
e. Policies for Implementing the 5-Year Extension and Provisions 
Authorized by Section 129 of the Consolidated Appropriations Act, 2021 
(Pub. L. 116-260)
    As stated in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36971 
through 36975), our policy for implementing the 5-year extension period 
for section 129 of Public Law 116-260 follows same budget neutrality 
methodology and analytical approach as the demonstration initial period 
methodology. While we expect to use the same methodology that was used 
to assess the budget neutrality of the FCHIP Demonstration during 
initial period of the demonstration to assess the financial impact of 
the demonstration during this extension period, upon receiving data for 
the extension period, we may update and/or modify the FCHIP budget 
neutrality methodology and analytical approach to ensure that the full 
impact of the demonstration is appropriately captured.
f. Total Budget Neutrality Offset Amount for FY 2027
    At this time, for the FY 2027 IPPS/LTCH PPS proposed rule, while 
this discussion represents our anticipated approach to assessing the 
financial impact of the demonstration extension period based on upon 
receiving data for the full demonstration extension period, we may 
update and/or modify the FCHIP Demonstration budget neutrality 
methodology and analytical approach to ensure that the full impact of 
the demonstration is appropriately captured. Therefore, we do not 
propose to apply a budget neutrality payment offset to payments to CAHs 
in FY 2027. This policy would have no impact for any national payment 
system for FY 2027.

VIII. Proposed Changes to the Long-Term Care Hospital Prospective 
Payment System (LTCH PPS) for FY 2027

A. Background of the LTCH PPS

1. Legislative and Regulatory Authority
    Section 123 of the Medicare, Medicaid, and SCHIP (State Children's 
Health Insurance Program) Balanced Budget Refinement Act of 1999 (BBRA) 
(Pub. L. 106-113), as amended by section 307(b) of the Medicare, 
Medicaid, and SCHIP Benefits Improvement and Protection Act of 2000 
(BIPA) (Pub. L. 106-554), provides for payment for both the operating 
and capital-related costs of hospital inpatient stays in long-term care

[[Page 19553]]

hospitals (LTCHs) under Medicare Part A based on prospectively set 
rates. The Medicare prospective payment system (PPS) for LTCHs applies 
to hospitals that are described in section 1886(d)(1)(B)(iv) of the 
Act, effective for cost reporting periods beginning on or after October 
1, 2002.
    Section 1886(d)(1)(B)(iv)(I) of the Act originally defined an LTCH 
as a hospital that has an average inpatient length of stay (as 
determined by the Secretary) of greater than 25 days.
    Section 1886(d)(1)(B)(iv)(II) of the Act also provided an 
alternative definition of LTCHs (``subclause II'' LTCHs). However, 
section 15008 of the 21st Century Cures Act (Pub. L. 114-255) amended 
section 1886 of the Act to exclude former ``subclause II'' LTCHs from 
being paid under the LTCH PPS and created a new category of IPPS-
excluded hospitals, which we refer to as ``extended neoplastic disease 
care hospitals,'' to be paid as hospitals that were formally classified 
as ``subclause (II)'' LTCHs (82 FR 38298).
    Section 123 of the BBRA requires the PPS for LTCHs to be a ``per 
discharge'' system with a diagnosis-related group (DRG) based patient 
classification system that reflects the differences in patient resource 
use and costs in LTCHs.
    Section 307(b)(1) of the BIPA, among other things, mandates that 
the Secretary shall examine, and may provide for, adjustments to 
payments under the LTCH PPS, including adjustments to DRG weights, area 
wage adjustments, geographic reclassification, outliers, updates, and a 
disproportionate share adjustment.
    In the August 30, 2002, Federal Register (67 FR 55954), we issued a 
final rule that implemented the LTCH PPS authorized under the BBRA and 
BIPA. For the initial implementation of the LTCH PPS (FYs 2003 through 
2007), the system used information from LTCH patient records to 
classify patients into distinct long-term care-diagnosis-related groups 
(LTCDRGs) based on clinical characteristics and expected resource 
needs. Beginning in FY 2008, we adopted the Medicare severity-long-term 
care-diagnosis related groups (MS-LTC-DRGs) as the patient 
classification system used under the LTCH PPS. Payments are calculated 
for each MS-LTC-DRG and provisions are made for appropriate payment 
adjustments. Payment rates under the LTCH PPS are updated annually and 
published in the Federal Register.
    The LTCH PPS replaced the reasonable cost-based payment system 
under the Tax Equity and Fiscal Responsibility Act of 1982 (TEFRA) 
(Pub. L. 97-248) for payments for inpatient services provided by an 
LTCH with a cost reporting period beginning on or after October 1, 
2002. (The regulations implementing the TEFRA reasonable-cost-based 
payment provisions are located at 42 CFR part 413.) With the 
implementation of the PPS for acute care hospitals authorized by the 
Social Security Amendments of 1983 (Pub. L. 98-21), which added section 
1886(d) to the Act, certain hospitals, including LTCHs, were excluded 
from the PPS for acute care hospitals and paid their reasonable costs 
for inpatient services subject to a per discharge limitation or target 
amount under the TEFRA system. For each cost reporting period, a 
hospital specific ceiling on payments was determined by multiplying the 
hospital's updated target amount by the number of total current year 
Medicare discharges. (Generally, in this section of the preamble of 
this proposed rule, when we refer to discharges, we describe Medicare 
discharges.) The August 30, 2002, final rule further details the 
payment policy under the TEFRA system (67 FR 55954).
    In the August 30, 2002, final rule, we provided for a 5-year 
transition period from payments under the TEFRA system to payments 
under the LTCH PPS. During this 5-year transition period, an LTCH's 
total payment under the PPS was based on an increasing percentage of 
the Federal rate with a corresponding decrease in the percentage of the 
LTCH PPS payment that is based on reasonable cost concepts, unless an 
LTCH made a one-time election to be paid based on 100 percent of the 
Federal rate. Beginning with LTCHs' cost reporting periods beginning on 
or after October 1, 2006, total LTCH PPS payments are based on 100 
percent of the Federal rate.
    In addition, in the August 30, 2002, final rule, we presented an 
in-depth discussion of the LTCH PPS, including the patient 
classification system, relative weights, payment rates, additional 
payments, and the budget neutrality requirements mandated by section 
123 of the BBRA. The same final rule that established regulations for 
the LTCH PPS under 42 CFR part 412, subpart O, also contained LTCH 
provisions related to covered inpatient services, limitation on charges 
to beneficiaries, medical review requirements, furnishing of inpatient 
hospital services directly or under arrangement, and reporting and 
recordkeeping requirements. We refer readers to the August 30, 2002, 
final rule for a comprehensive discussion of the research and data that 
supported the establishment of the LTCH PPS (67 FR 55954).
    In the FY 2016 IPPS/LTCH PPS final rule (80 FR 49601 through 
49623), we implemented the provisions of the Pathway for Sustainable 
Growth Rate (SGR) Reform Act of 2013 (Pub. L. 113-67), which mandated 
the application of the ``site neutral'' payment rate under the LTCH PPS 
for discharges that do not meet the statutory criteria for exclusion 
beginning in FY 2016. For cost reporting periods beginning on or after 
October 1, 2015, discharges that do not meet certain statutory criteria 
for exclusion are paid based on the site neutral payment rate. 
Discharges that do meet the statutory criteria continue to receive 
payment based on the LTCH PPS standard Federal payment rate. For more 
information on the statutory requirements of the Pathway for SGR Reform 
Act of 2013, we refer readers to the FY 2016 IPPS/LTCH PPS final rule 
(80 FR 49601 through 49623) and the FY 2017 IPPS/LTCH PPS final rule 
(81 FR 57068 through 57075).
    In the FY 2018 IPPS/LTCH PPS final rule, we implemented several 
provisions of the 21st Century Cures Act (``the Cures Act'') (Pub. L. 
114-255) that affected the LTCH PPS. (For more information on these 
provisions, we refer readers to (82 FR 38299).)
    In the FY 2019 IPPS/LTCH PPS final rule (83 FR 41529), we made 
conforming changes to our regulations to implement the provisions of 
section 51005 of the Bipartisan Budget Act of 2018 (Pub. L. 115-123), 
which extends the transitional blended payment rate for site neutral 
payment rate cases for an additional 2 years. We refer readers to 
section VII.C. of the preamble of the FY 2019 IPPS/LTCH PPS final rule 
for a discussion of our final policy. In addition, in the FY 2019 IPPS/
LTCH PPS final rule, we removed the 25-percent threshold policy under 
42 CFR 412.538, which was a payment adjustment that was applied to 
payments for Medicare patient LTCH discharges when the number of such 
patients originating from any single referring hospital was in excess 
of the applicable threshold for given cost reporting period.
    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42439), we further 
revised our regulations to implement the provisions of the Pathway for 
SGR Reform Act of 2013 (Pub. L. 113-67) that relate to the payment 
adjustment for discharges from LTCHs that do not maintain the requisite 
discharge payment percentage and the process by which such LTCHs may 
have the payment adjustment discontinued.

[[Page 19554]]

2. Criteria for Classification as an LTCH
a. Classification as an LTCH
    Under the regulations at Sec.  412.23(e)(1), to qualify to be paid 
under the LTCH PPS, a hospital must have a provider agreement with 
Medicare. Furthermore, Sec.  412.23(e)(2)(i), which implements section 
1886(d)(1)(B)(iv) of the Act, requires that a hospital have an average 
Medicare inpatient length of stay of greater than 25 days to be paid 
under the LTCH PPS. In accordance with section 1206(a)(3) of the 
Pathway for SGR Reform Act of 2013 (Pub. L. 113-67), as amended by 
section 15007 of Public Law 114-255, we amended our regulations to 
specify that Medicare Advantage plans' and site neutral payment rate 
discharges are excluded from the calculation of the average length of 
stay for all LTCHs, for discharges occurring in cost reporting period 
beginning on or after October 1, 2015.
b. Hospitals Excluded From the LTCH PPS
    The following hospitals are paid under special payment provisions, 
as described in Sec.  412.22(c) and, therefore, are not subject to the 
LTCH PPS rules:
     Veterans Administration hospitals.
     Hospitals that are reimbursed under State cost control 
systems approved under 42 CFR part 403.
     Hospitals that are reimbursed in accordance with 
demonstration projects authorized under section 402(a) of the Social 
Security Amendments of 1967 (Pub. L. 90-248) (42 U.S.C. 1395b-1), 
section 222(a) of the Social Security Amendments of 1972 (Pub. L. 92-
603) (42 U.S.C. 1395b1 (note)) (Statewide-all payer systems, subject to 
the rate-of increase test at section 1814(b) of the Act), or section 
3021 of the Patient Protection and Affordable Care Act (Pub. L. 111-
148) (42 U.S.C. 1315a).
     Nonparticipating hospitals furnishing emergency services 
to Medicare beneficiaries.
3. Limitation on Charges to Beneficiaries
    In the August 30, 2002, final rule, we presented an in-depth 
discussion of beneficiary liability under the LTCH PPS (67 FR 55974 
through 55975). This discussion was further clarified in the RY 2005 
LTCH PPS final rule (69 FR 25676). In keeping with those discussions, 
if the Medicare payment to the LTCH is the full LTC-DRG payment amount, 
consistent with other established hospital prospective payment systems, 
Sec.  412.507 currently provides that an LTCH may not bill a Medicare 
beneficiary for more than the deductible and coinsurance amounts as 
specified under Sec. Sec.  409.82, 409.83, and 409.87, and for items 
and services specified under Sec.  489.30(a). However, under the LTCH 
PPS, Medicare will only pay for services furnished during the days for 
which the beneficiary has coverage until the short-stay outlier (SSO) 
threshold is exceeded. If the Medicare payment was for a SSO case (in 
accordance with Sec.  412.529), and that payment was less than the full 
LTC-DRG payment amount because the beneficiary had insufficient 
coverage as a result of the remaining Medicare days, the LTCH also is 
currently permitted to charge the beneficiary for services delivered on 
those uncovered days (in accordance with Sec.  412.507). In the FY 2016 
IPPS/LTCH PPS final rule (80 FR 49623), we amended our regulations to 
expressly limit the charges that may be imposed upon beneficiaries 
whose LTCHs' discharges are paid at the site neutral payment rate under 
the LTCH PPS. In the FY 2017 IPPS/LTCH PPS final rule (81 FR 57102), we 
amended the regulations under Sec.  412.507 to clarify our existing 
policy that blended payments made to an LTCH during its transitional 
period (that is, an LTCH's payment for discharges occurring in cost 
reporting periods beginning in FYs 2016 through 2019) are considered to 
be site neutral payment rate payments.

B. Medicare Severity Long-Term Care Diagnosis-Related Group (MS-LTC-
DRG) Classifications and Relative Weights for FY 2027

1. Background
    Section 123 of the BBRA required that the Secretary implement a PPS 
for LTCHs to replace the cost-based payment system under TEFRA. Section 
307(b)(1) of the BIPA modified the requirements of section 123 of the 
BBRA by requiring that the Secretary examine the feasibility and the 
impact of basing payment under the LTCH PPS on the use of existing (or 
refined) hospital DRGs that have been modified to account for different 
resource use of LTCH patients.
    Under both the IPPS and the LTCH PPS, the DRG-based classification 
system uses information on the claims for inpatient discharges to 
classify patients into distinct groups (for example, DRGs) based on 
clinical characteristics and expected resource needs. When the LTCH PPS 
was implemented for cost reporting periods beginning on or after 
October 1, 2002, we adopted the same DRG patient classification system 
utilized at that time under the IPPS. We referred to this patient 
classification system as the ``long-term care diagnosis-related groups 
(LTC-DRGs).'' As part of our efforts to better recognize severity of 
illness among patients, in the FY 2008 IPPS final rule with comment 
period (72 FR 47130), we adopted the MS-DRGs and the Medicare severity 
long-term care diagnosis-related groups (MS-LTC-DRGs) under the IPPS 
and the LTCH PPS, respectively, effective beginning October 1, 2007 (FY 
2008). For a full description of the development, implementation, and 
rationale for the use of the MS-DRGs and MS-LTC-DRGs, we refer readers 
to the FY 2008 IPPS final rule with comment period (72 FR 47141 through 
47175 and 47277 through 47299). (We note that, in that same final rule, 
we revised the regulations at Sec.  412.503 to specify that for LTCH 
discharges occurring on or after October 1, 2007, when applying the 
provisions of 42 CFR part 412, subpart O, applicable to LTCHs for 
policy descriptions and payment calculations, all references to LTC-
DRGs would be considered a reference to MS-LTC-DRGs. For the remainder 
of this section, we present the discussion in terms of the current MS-
LTC-DRG patient classification system unless specifically referring to 
the previous LTC-DRG patient classification system that was in effect 
before October 1, 2007.)
    Consistent with section 123 of the BBRA, as amended by section 
307(b)(1) of the BIPA, and Sec.  412.515 of the regulations, we use 
information derived from LTCH PPS patient records to classify LTCH 
discharges into distinct MS-LTC-DRGs based on clinical characteristics 
and estimated resource needs. As noted previously, we adopted the same 
DRG patient classification system utilized at that time under the IPPS. 
The MS-DRG classifications are updated annually, which has resulted in 
the number of MS-DRGs changing over time. For FY 2027, there would be 
768 MS-DRG, and by extension, MS-LTC-DRG, groupings based on the 
proposed changes, as discussed in section II.C. of the preamble of this 
proposed rule.
    Although the patient classification system used under both the LTCH 
PPS and the IPPS are the same, the relative weights are different. The 
established relative weight methodology and data used under the LTCH 
PPS result in relative weights under the LTCH PPS that reflect the 
differences in patient resource use of LTCH patients, consistent with 
section 123(a)(1) of the BBRA. That is, we assign an appropriate weight 
to the MS-LTC-DRGs to account for the differences in resource use by 
patients exhibiting the case complexity and multiple medical problems 
characteristic of LTCH patients.

[[Page 19555]]

2. Patient Classifications Into MS-LTC-DRGs
a. Background
    The MS-DRGs (used under the IPPS) and the MS-LTC-DRGs (used under 
the LTCH PPS) are based on the CMS DRG structure. As noted previously 
in this section, we refer to the DRGs under the LTCH PPS as MS-LTC-DRGs 
although they are structurally identical to the MS-DRGs used under the 
IPPS.
    The MS-DRGs are organized into 25 major diagnostic categories 
(MDCs), most of which are based on a particular organ system of the 
body; the remainder involve multiple organ systems (such as MDC 22, 
Burns). Within most MDCs, cases are then divided into surgical DRGs and 
medical DRGs. Surgical DRGs are assigned based on a surgical hierarchy 
that orders operating room (O.R.) procedures or groups of O.R. 
procedures by resource intensity. The GROUPER software program does not 
recognize all ICD-10-PCS procedure codes as procedures affecting DRG 
assignment. That is, procedures that are not surgical (for example, 
EKGs) or are minor surgical procedures (for example, a biopsy of skin 
and subcutaneous tissue (procedure code 0JBH3ZX)) do not affect the MS-
LTC-DRG assignment based on their presence on the claim.
    Generally, under the LTCH PPS, a Medicare payment is made at a 
predetermined specific rate for each discharge that varies based on the 
MS-LTC-DRG to which a beneficiary's discharge is assigned. Cases are 
classified into MS-LTC-DRGs for payment based on the following six data 
elements:
     Principal diagnosis.
     Additional or secondary diagnoses.
     Surgical procedures.
     Age.
     Sex.
     Discharge status of the patient.
    Currently, for claims submitted using the version ASC X12 5010 
standard, up to 25 diagnosis codes and 25 procedure codes are 
considered for an MS-DRG assignment. This includes one principal 
diagnosis and up to 24 secondary diagnoses for severity of illness 
determinations. (For additional information on the processing of up to 
25 diagnosis codes and 25 procedure codes on hospital inpatient claims, 
we refer readers to section II.G.11.c. of the preamble of the FY 2011 
IPPS/LTCH PPS final rule (75 FR 50127).)
    Under the HIPAA transactions and code sets regulations at 45 CFR 
parts 160 and 162, covered entities (45 CFR 160.103) must comply with 
the adopted transaction standards and operating rules specified in 
subparts I through S of part 162. Among other requirements, on or after 
January 1, 2012, covered entities are required to use the ASC X12 
Standards for Electronic Data Interchange Technical Report Type 3--
Health Care Claim: Institutional (837), May 2006, ASC X12N/005010X223, 
and Type 1 Errata to Health Care Claim: Institutional (837) ASC X12 
Standards for Electronic Data Interchange Technical Report Type 3, 
October 2007, ASC X12N/005010X233A1 for the health care claims or 
equivalent encounter information transaction (45 CFR 162.1102(c)).
    HIPAA requires covered entities to use the applicable medical data 
code sets when conducting HIPAA transactions (45 CFR 162.1000). 
Currently, upon the discharge of the patient, the LTCH must assign 
appropriate diagnosis and procedure codes from the International 
Classification of Diseases, 10th Revision, Clinical Modification (ICD-
10-CM) for diagnosis coding and the International Classification of 
Diseases, 10th Revision, Procedure Coding System (ICD-10-PCS) for 
inpatient hospital procedure coding, both of which were required to be 
implemented October 1, 2015 (45 CFR 162.1002(c)(2) and (3)). For 
additional information on the implementation of the ICD-10 coding 
system, we refer readers to section II.F.1. of the preamble of the FY 
2017 IPPS/LTCH PPS final rule (81 FR 56787 through 56790) and section 
II.E.1. of the preamble of this proposed rule. Additional coding 
instructions and examples are published in the AHA's Coding Clinic for 
ICD-10-CM/PCS.
    To create the MS-DRGs (and by extension, the MS-LTC-DRGs), base 
DRGs were subdivided according to the presence of specific secondary 
diagnoses designated as complications or comorbidities (CCs) into one, 
two, or three levels of severity, depending on the impact of the CCs on 
resources used for those cases. Specifically, there are sets of MS-DRGs 
that are split into 2 or 3 subgroups based on the presence or absence 
of a CC or a major complication or comorbidity (MCC). We refer readers 
to section II.D. of the preamble of the FY 2008 IPPS final rule with 
comment period for a detailed discussion about the creation of MS-DRGs 
based on severity of illness levels (72 FR 47141 through 47175).
    Medicare Administrative Contractors (MACs) enter the clinical and 
demographic information submitted by LTCHs into their claims processing 
systems and subject this information to a series of automated screening 
processes called the Medicare Code Editor (MCE). These screens are 
designed to identify cases that require further review before 
assignment into a MS-LTC-DRG can be made. During this process, certain 
types of cases are selected for further explanation (74 FR 43949).
    After screening through the MCE, each claim is classified into the 
appropriate MS-LTC-DRG by the Medicare LTCH GROUPER software on the 
basis of diagnosis and procedure codes and other demographic 
information (age, sex, and discharge status). The GROUPER software used 
under the LTCH PPS is the same GROUPER software program used under the 
IPPS. Following the MS-LTC-DRG assignment, the MAC determines the 
prospective payment amount by using the Medicare PRICER program, which 
accounts for hospital-specific adjustments. Under the LTCH PPS, we 
provide an opportunity for LTCHs to review the MS-LTC-DRG assignments 
made by the MAC and to submit additional information within a specified 
timeframe as provided in Sec.  412.513(c).
    The GROUPER software is used both to classify past cases to measure 
relative hospital resource consumption to establish the MS-LTC-DRG 
relative weights and to classify current cases for purposes of 
determining payment. The records for all Medicare hospital inpatient 
discharges are maintained in the MedPAR file. The data in this file are 
used to evaluate possible MS-DRG and MS-LTC-DRG classification changes 
and to recalibrate the MS-DRG and MS-LTC-DRG relative weights during 
our annual update under both the IPPS (Sec.  412.60(e)) and the LTCH 
PPS (Sec.  412.517), respectively.
b. Proposed Changes to the MS-LTC-DRGs for FY 2027
    As specified by our regulations at Sec.  412.517(a), which require 
that the MS-LTC-DRG classifications and relative weights be updated 
annually, and consistent with our historical practice of using the same 
patient classification system under the LTCH PPS as is used under the 
IPPS, in this proposed rule, we are proposing to update the MS-LTC-DRG 
classifications effective October 1, 2026 through September 30, 2027 
(FY 2027), consistent with the proposed changes to specific MS-DRG 
classifications presented in section II.C. of the preamble of this 
proposed rule. Accordingly, the proposed MS-LTC-DRGs for FY 2027 are 
the same as the MS-DRGs being proposed for use under the IPPS for FY 
2027. In addition, because the proposed MS-LTC-DRGs for FY 2027 are the 
same as the proposed MS-DRGs for FY 2027, the

[[Page 19556]]

other proposed changes that affect MS-DRG (and by extension MS-LTC-DRG) 
assignments under proposed GROUPER Version 44, as discussed in section 
II.C. of the preamble of this proposed rule, including the proposed 
changes to the MCE software and the ICD-10-CM/PCS coding system, are 
also applicable under the LTCH PPS for FY 2027.
3. Proposed Development of the FY 2027 MS-LTC-DRG Relative Weights
a. General Overview of the MS-LTC-DRG Relative Weights
    One of the primary goals for the implementation of the LTCH PPS is 
to pay each LTCH an appropriate amount for the efficient delivery of 
medical care to Medicare patients. The system must be able to account 
adequately for each LTCH's case-mix to ensure both fair distribution of 
Medicare payments and access to adequate care for those Medicare 
patients whose care is costlier (67 FR 55984). To accomplish these 
goals, we have annually adjusted the LTCH PPS standard Federal 
prospective payment rate by the applicable relative weight in 
determining payment to LTCHs for each case. Under the LTCH PPS, 
relative weights for each MS-LTC-DRG are a primary element used to 
account for the variations in cost per discharge and resource 
utilization among the payment groups (Sec.  412.515). To ensure that 
Medicare patients classified to each MS-LTC-DRG have access to an 
appropriate level of services and to encourage efficiency, we calculate 
a relative weight for each MS-LTC-DRG that represents the resources 
needed by an average inpatient LTCH case in that MS-LTC-DRG. For 
example, cases in an MS-LTC-DRG with a relative weight of 2 would, on 
average, cost twice as much to treat as cases in an MS-LTC-DRG with a 
relative weight of 1.
    The established methodology to develop the MS-LTC-DRG relative 
weights is generally consistent with the methodology established when 
the LTCH PPS was implemented in the August 30, 2002, LTCH PPS final 
rule (67 FR 55989 through 55991). However, there have been some 
modifications of our historical procedures for assigning relative 
weights in cases of zero volume or nonmonotonicity or both resulting 
from the adoption of the MS-LTC-DRGs. We also made a modification in 
conjunction with the implementation of the dual rate LTCH PPS payment 
structure beginning in FY 2016 to use LTCH claims data from only LTCH 
PPS standard Federal payment rate cases (or LTCH PPS cases that would 
have qualified for payment under the LTCH PPS standard Federal payment 
rate if the dual rate LTCH PPS payment structure had been in effect at 
the time of the discharge). We also adopted, beginning in FY 2023, a 
10-percent cap policy on the reduction in a MS-LTC-DRG's relative 
weight in a given year. (For details on the modifications to our 
historical procedures for assigning relative weights in cases of zero 
volume and nonmonotonicity or both, we refer readers to the FY 2008 
IPPS final rule with comment period (72 FR 47289 through 47295) and the 
FY 2009 IPPS final rule (73 FR 48542 through 48550)). For details on 
the change in our historical methodology to use LTCH claims data only 
from LTCH PPS standard Federal payment rate cases (or cases that would 
have qualified for such payment had the LTCH PPS dual payment rate 
structure been in effect at the time) to determine the MS-LTC-DRG 
relative weights, we refer readers to the FY 2016 IPPS/LTCH PPS final 
rule (80 FR 49614 through 49617). For details on our adoption of the 
10-percent cap policy, we refer readers to the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 49152 through 49154).)
    For purposes of determining the MS-LTC-DRG relative weights, under 
our historical methodology, there are three different categories of MS-
LTC-DRGs based on volume of cases within specific MS-LTC-DRGs: (1) MS-
LTC-DRGs with at least 25 applicable LTCH cases in the data used to 
calculate the relative weight, which are each assigned a unique 
relative weight; (2) low-volume MS-LTC-DRGs (that is, MS-LTC-DRGs that 
contain between 1 and 24 applicable LTCH cases that are grouped into 
quintiles (as described later in this section in Step 3 of our proposed 
methodology) and assigned the relative weight of the quintile); and (3) 
no-volume MS-LTC-DRGs that are cross-walked to other MS-LTC-DRGs based 
on the clinical similarities and assigned the relative weight of the 
cross-walked MS-LTC-DRG (as described later in this section in Step 8 
of our proposed methodology). For FY 2027, we are proposing to continue 
to use applicable LTCH cases to establish the same volume-based 
categories to calculate the FY 2027 MS-LTC-DRG relative weights.
b. Development of the MS-LTC-DRG Relative Weights for FY 2027
    In this section, we present our proposed methodology for 
determining the MS-LTC-DRG relative weights for FY 2027. We first list 
and provide a brief description of our proposed steps for determining 
the FY 2027 MS-LTC-DRG relative weights. Later in this section, we 
discuss in greater detail each step. We note that, as we did in FY 
2026, we are proposing to use our historical relative weight 
methodology as described in the FY 2021 IPPS/LTCH PPS final rule (85 FR 
58898 through 58907), subject to a ten percent cap as described in the 
FY 2023 IPPS/LTCH PPS final rule (87 FR 49162).
     Step 1--Prepare data for MS-LTC-DRG relative 
weight calculation. In this step, we select and group the applicable 
claims data used in the development of the MS-LTC-DRG relative weights.
     Step 2--Remove cases with a length of stay of 7 days or 
less. In this step, we trim the applicable claims data to remove cases 
with a length of stay of 7 days or less.
     Step 3--Establish low-volume MS-LTC-DRG 
quintiles. In this step, we employ our established quintile methodology 
for low-volume MS-LTC-DRGs (that is, MS-LTC-DRGs with fewer than 25 
cases).
     Step 4--Remove statistical outliers. In this step, we trim 
the applicable claims data to remove statistical outlier cases.
     Step 5--Adjust charges for the effects of Short Stay 
Outliers (SSOs). In this step, we adjust the number of applicable cases 
in each MS-LTC-DRG (or low-volume quintile) for the effect of SSO 
cases.
     Step 6--Calculate the relative weights on an iterative 
basis using the hospital-specific relative weights methodology. In this 
step, we use our established hospital specific relative value (HSRV) 
methodology, which is an iterative process, to calculate the relative 
weights.
     Step 7--Adjust the relative weights to account 
for nonmonotonically increasing relative weights. In this step, we make 
adjustments that ensure that within each base MS-LTC-DRG, the relative 
weights increase by MS-LTC-DRG severity.
     Step 8--Determine a relative weight for MS-LTC-DRGs with 
no applicable LTCH cases. In this step, we cross-walk each no-volume 
MS-LTC-DRG to another MS-LTC-DRG for which we calculated a relative 
weight.
     Step 9--Budget neutralize the uncapped relative weights. 
In this step, to ensure budget neutrality in the annual update to the 
MS-LTC-DRG classifications and relative weights, we adjust the relative 
weights by a normalization factor and a budget neutrality factor that 
ensures estimated aggregate LTCH PPS payments will be unaffected by the 
updates to the MS-LTC-DRG classifications and relative weights.
     Step 10--Apply the 10-percent cap to decreases in MS-LTC-
DRG relative

[[Page 19557]]

weights. In this step we limit the reduction of the relative weight for 
a MS-LTC-DRG to 10 percent of its prior year value. This 10-percent cap 
does not apply to zero-volume MS-LTC-DRGs or low-volume MS-LTC-DRGs.
     Step 11--Budget neutralize the application of the 10-
percent cap policy. In this step, to ensure budget neutrality in the 
application of the MS-LTC-DRG cap policy, we adjust the relative 
weights by a budget neutrality factor that ensures estimated aggregate 
LTCH PPS payments will be unaffected by our application of the cap to 
the MS-LTC-DRG relative weights.
    We next describe each of the 11 proposed steps for calculating the 
proposed FY 2027 MS-LTC-DRG relative weights in greater detail.
Step 1--Prepare Data for MS-LTC-DRG Relative Weight Calculation
    For this FY 2027 IPPS/LTCH PPS proposed rule, we obtained total 
charges from FY 2025 Medicare LTCH claims data from the December 2025 
update of the FY 2025 MedPAR file and used proposed Version 44 of the 
GROUPER to classify LTCH cases. Consistent with our historical 
practice, we are proposing that if better data become available, we 
would use those data and the finalized Version 44 of the GROUPER in 
establishing the FY 2027 MS-LTC-DRG relative weights in the final rule.
    To calculate the FY 2027 MS-LTC-DRG relative weights under the dual 
rate LTCH PPS payment structure, we are proposing to continue to use 
applicable LTCH data, which includes our policy of only using cases 
that meet the criteria for exclusion from the site neutral payment rate 
(or would have met the criteria had they been in effect at the time of 
the discharge) (80 FR 49624). Section 3711(b)(2) of the CARES Act 
provided a waiver of the application of the site neutral payment rate 
for LTCH cases admitted during the COVID-19 PHE period. The COVID-19 
PHE expired on May 11, 2023. Therefore, nearly all LTCH PPS cases in FY 
2025 were subject to the dual rate LTCH PPS payment structure. However, 
a small number of FY 2025 LTCH PPS cases (those with admission dates on 
or before May 11, 2023) were subject to the CARES Act waiver and were 
paid the LTCH PPS standard Federal rate regardless of whether the 
discharge met the statutory patient criteria. Therefore, for purposes 
of setting rates for LTCH PPS standard Federal rate cases for FY 2027 
(including MS-LTC-DRG relative weights), we are proposing to identify 
FY 2025 cases that meet the statutory patient criteria depending on 
date of admission as follows. First, we propose to use LTCH PPS cases 
in the FY 2025 MedPAR file with an admission date after May 11, 2023, 
that met the criteria for exclusion from the site neutral payment rate 
under Sec.  412.522(b) and were paid the LTCH PPS standard Federal rate 
in FY 2025 (based on the claim payment amount). Second, we propose to 
also use LTCH PPS cases in the FY 2025 MedPAR file with an admission 
date on or before May 11, 2023, that would have met the criteria for 
exclusion from the site neutral payment rate if the CARES Act waiver 
had not been in effect. For these cases we relied on our historical 
process for identifying cases that would have met the criteria for 
exclusion from the site neutral payment rate rather than how those 
cases were paid in FY 2025. This process is explained in full detail in 
the FY 2025 IPPS/LTCH PPS final rule (89 FR 69425).
    Furthermore, consistent with our historical methodology, we 
excluded any claims in the resulting data set that were submitted by 
LTCHs that were all inclusive rate providers and LTCHs that are paid in 
accordance with demonstration projects authorized under section 402(a) 
of Public Law 90-248 or section 222(a) of Public Law 92603. In 
addition, consistent with our historical practice and our policies, we 
excluded any Medicare Advantage (Part C) claims in the resulting data. 
Such claims were identified based on the presence of a GHO Paid 
indicator value of ``1'' in the MedPAR files.
    In summary, in general, we identified the claims data used in the 
development of the FY 2027 MS-LTC-DRG relative weights in this proposed 
rule by trimming claims data that were paid the site neutral payment 
rate or would have been paid the site neutral payment rate had the 
provisions of the CARES Act not been in effect. We trimmed the claims 
data of all inclusive rate providers reported in the December 2025 
update of the FY 2025 MedPAR file and any Medicare Advantage claims 
data. There were no data from any LTCHs that are paid in accordance 
with a demonstration project reported in the December 2025 update of 
the FY 2025 MedPAR file, but had there been any, we would have trimmed 
the claims data from those LTCHs as well, in accordance with our 
established policy.
    We used the remaining data (that is, the applicable LTCH data) in 
the subsequent proposed steps to calculate the proposed MS-LTC-DRG 
relative weights for FY 2027.
Step 2--Remove Cases With a Length of Stay of 7 Days or Less
    The next step in our proposed calculation of the proposed FY 2027 
MS-LTC-DRG relative weights is to remove cases with a length of stay of 
7 days or less. The MS-LTC-DRG relative weights reflect the average of 
resources used on representative cases of a specific type. Generally, 
cases with a length of stay of 7 days or less do not belong in an LTCH 
because these stays do not fully receive or benefit from treatment that 
is typical in an LTCH stay, and full resources are often not used in 
the earlier stages of admission to an LTCH. If we were to include stays 
of 7 days or less in the computation of the proposed FY 2027 MS-LTC-DRG 
relative weights, the value of many relative weights would decrease 
and, therefore, payments would decrease to a level that may no longer 
be appropriate. We do not believe that it would be appropriate to 
compromise the integrity of the payment determination for those LTCH 
cases that actually benefit from and receive a full course of treatment 
at an LTCH by including data from these very short stays. Therefore, 
consistent with our existing relative weight methodology, in 
determining the proposed FY 2027 MS-LTC-DRG relative weights, we are 
proposing to remove LTCH cases with a length of stay of 7 days or less 
from applicable LTCH cases. (For additional information on what is 
removed in this step of the relative weight methodology, we refer 
readers to 67 FR 55989 and 74 FR 43959.)
Step 3--Establish Low-Volume MS-LTC-DRG Quintiles
    To account for MS-LTC-DRGs with low-volume (that is, with fewer 
than 25 applicable LTCH cases), consistent with our existing 
methodology, we are proposing to continue to employ the quintile 
methodology for low-volume MS-LTC-DRGs, such that we grouped the ``low-
volume MS-LTC-DRGs'' (that is, MS-LTC-DRGs that contain between 1 and 
24 applicable LTCH cases into one of five categories (quintiles) based 
on average charges (67 FR 55984 through 55995; 72 FR 47283 through 
47288; and 81 FR 25148)).
    In this proposed rule, based on the best available data (that is, 
the December 2025 update of the FY 2025 MedPAR file), we identified 245 
MS-LTC-DRGs that contained between 1 and 24 applicable LTCH cases. This 
list of MS-LTC-DRGs was then divided into 1 of the 5 low-volume 
quintiles. We assigned the low-volume MS-LTC-DRGs to specific low-
volume quintiles

[[Page 19558]]

by sorting the low-volume MS-LTC-DRGs in ascending order by average 
charge in accordance with our established methodology. Based on the 
data available for this proposed rule, the number of MS-LTC-DRGs with 
less than 25 applicable LTCH cases was evenly divisible by 5. The 
quintiles each contained 49 MS-LTC-DRGs (245/5 = 49). We are proposing 
that in the final rule, if the number of MS-LTC-DRGs with less than 25 
applicable LTCH cases in the best available data is not evenly 
divisible by 5, we would employ our historical methodology of assigning 
each remainder low-volume MS-LTC-DRG to the low-volume quintile that 
contains an MS-LTC-DRG with an average charge closest to that of the 
remainder low-volume MS-LTC-DRG. In cases where these initial 
assignments of low-volume MS-LTC-DRGs to quintiles results in 
nonmonotonicity within a base-DRG, we are proposing to make adjustments 
to the resulting low-volume MS-LTC-DRGs to preserve monotonicity, as 
discussed in Step 7 of our proposed methodology.
    To determine the FY 2027 relative weights for the low-volume MS-
LTC-DRGs, consistent with our historical practice, we are proposing to 
use the five low-volume quintiles described previously. We determined a 
relative weight and (geometric) average length of stay for each of the 
five low-volume quintiles using the methodology described in Step 6 of 
our proposed methodology. We assigned the same relative weight and 
average length of stay to each of the low-volume MS-LTC-DRGs that make 
up an individual low-volume quintile. We note that, as this system is 
dynamic, it is possible that the number and specific type of MS-LTC-
DRGs with a low volume of applicable LTCH cases would vary in the 
future. Furthermore, we note that we continue to monitor the volume 
(that is, the number of applicable LTCH cases) in the low-volume 
quintiles to ensure that our quintile assignments used in determining 
the MS-LTC-DRG relative weights result in appropriate payment for LTCH 
cases grouped to low-volume MS-LTC-DRGs and do not result in an 
unintended financial incentive for LTCHs to inappropriately admit these 
types of cases.
    For this proposed rule, we are providing the list of the 
composition of the proposed low volume-quintiles for low-volume MS-LTC-
DRGs in a supplemental data file for public use posted via the internet 
on the CMS website for this proposed rule at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html 
to streamline the information made available to the public that is used 
in the annual development of Table 11.
Step 4--Remove Statistical Outliers
    The next step in our proposed calculation of the FY 2027 MS-LTC-DRG 
relative weights is to remove statistical outlier cases from the LTCH 
cases with a length of stay of at least 8 days. Consistent with our 
existing relative weight methodology, we are proposing to continue to 
define statistical outliers as cases that are outside of 3.0 standard 
deviations from the mean of the log distribution of both charges per 
case and the charges per day for each MS-LTC-DRG. These statistical 
outliers are removed prior to calculating the relative weights because 
we believe that they may represent aberrations in the data that distort 
the measure of average resource use. Including those LTCH cases in the 
calculation of the relative weights could result in an inaccurate 
relative weight that does not truly reflect relative resource use among 
those MS-LTC-DRGs. (For additional information on what is removed in 
this step of the relative weight methodology, we refer readers to 67 FR 
55989 and 74 FR 43959.) After removing cases with a length of stay of 7 
days or less and statistical outliers, in each set of claims, we were 
left with applicable LTCH cases that have a length of stay greater than 
or equal to 8 days. In this proposed rule, we refer to these cases as 
``trimmed applicable LTCH cases.''
Step 5--Adjust Charges for the Effects of Short Stay Outliers (SSOs)
    As the next step in the proposed calculation of the FY 2027 MS-LTC-
DRG relative weights, consistent with our historical approach, we are 
proposing to adjust each LTCH's charges per discharge for those 
remaining cases (that is, trimmed applicable LTCH cases) for the 
effects of SSOs (as defined in Sec.  412.529(a) in conjunction with 
Sec.  412.503). Specifically, we are proposing to make this adjustment 
by counting an SSO case as a fraction of a discharge based on the ratio 
of the length of stay of the case to the average length of stay of all 
cases grouped to the MS-LTC-DRG. This has the effect of proportionately 
reducing the impact of the lower charges for the SSO cases in 
calculating the average charge for the MS-LTC-DRG. This process 
produces the same result as if the actual charges per discharge of an 
SSO case were adjusted to what they would have been had the patient's 
length of stay been equal to the average length of stay of the MS-LTC-
DRG.
    Counting SSO cases as full LTCH cases with no adjustment in 
determining the FY 2027 MS-LTC-DRG relative weights would lower the 
relative weight for affected MS-LTC-DRGs because the relatively lower 
charges of the SSO cases would bring down the average charge for all 
cases within a MS-LTC-DRG. This would result in an ``underpayment'' for 
non-SSO cases and an ``overpayment'' for SSO cases. Therefore, we 
propose to continue to adjust for SSO cases under Sec.  412.529 in this 
manner because it would result in more appropriate payments for all 
LTCH PPS standard Federal payment rate cases. (For additional 
information on this step of the relative weight methodology, we refer 
readers to 67 FR 55989 and 74 FR 43959.)
Step 6--Calculate the Relative Weights on An Iterative Basis Using the 
Hospital-Specific Relative Value Methodology
    By nature, LTCHs often specialize in certain areas, such as 
ventilator-dependent patients. Some case types (MS-LTC-DRGs) may be 
treated, to a large extent, in hospitals that have, from a perspective 
of charges, relatively high (or low) charges. This nonrandom 
distribution of cases with relatively high (or low) charges in specific 
MS-LTC-DRGs has the potential to inappropriately distort the measure of 
average charges. To account for the fact that cases may not be randomly 
distributed across LTCHs, consistent with the methodology we have used 
since the implementation of the LTCH PPS, in this FY 2027 IPPS/LTCH PPS 
proposed rule, we are proposing to continue to use a hospital-specific 
relative value (HSRV) methodology to calculate the MS-LTC-DRG relative 
weights for FY 2027. We believe that this method removes this hospital 
specific source of bias in measuring LTCH average charges (67 FR 
55985). Specifically, under this methodology, we reduced the impact of 
the variation in charges across providers on any particular MS-LTC-DRG 
relative weight by converting each LTCH's charge for an applicable LTCH 
case to a relative value based on that LTCH's average charge for such 
cases.
    Under the HSRV methodology, we standardize charges for each LTCH by 
converting its charges for each applicable LTCH case to hospital 
specific relative charge values and then adjusting those values for the 
LTCH's case-mix. The adjustment for case-mix is needed to rescale the 
hospital-specific relative charge values (which, by definition, average 
1.0 for each LTCH).

[[Page 19559]]

The average relative weight for an LTCH is its case-mix; therefore, it 
is reasonable to scale each LTCH's average relative charge value by its 
case-mix. In this way, each LTCH's relative charge value is adjusted by 
its case-mix to an average that reflects the complexity of the 
applicable LTCH cases it treats relative to the complexity of the 
applicable LTCH cases treated by all other LTCHs (the average LTCH PPS 
case-mix of all applicable LTCH cases across all LTCHs). In other 
words, by multiplying an LTCH's relative charge values by the LTCH's 
case-mix index, we account for the fact that the same relative charges 
are given greater weight at an LTCH with higher average costs than they 
would at an LTCH with low average costs, which is needed to adjust each 
LTCH's relative charge value to reflect its case-mix relative to the 
average case-mix for all LTCHs. By standardizing charges in this 
manner, we count charges for a Medicare patient at an LTCH with high 
average charges as less resource-intensive than they would be at an 
LTCH with low average charges. For example, a $10,000 charge for a case 
at an LTCH with an average adjusted charge of $17,500 reflects a higher 
level of relative resource use than a $10,000 charge for a case at an 
LTCH with the same case-mix, but an average adjusted charge of $35,000. 
We believe that the adjusted charge of an individual case more 
accurately reflects actual resource use for an individual LTCH because 
the variation in charges due to systematic differences in the markup of 
charges among LTCHs is taken into account.
    Consistent with our historical relative weight methodology, we 
propose to calculate the FY 2027 MS-LTC-DRG relative weights using the 
HSRV methodology, which is an iterative process. Therefore, in 
accordance with our established methodology, for FY 2027, we are 
proposing to continue to standardize charges for each applicable LTCH 
case by first dividing the adjusted charge for the case (adjusted for 
SSOs under Sec.  412.529 as described in Step 5 of our proposed 
methodology) by the average adjusted charge for all applicable LTCH 
cases at the LTCH in which the case was treated. The average adjusted 
charge reflects the average intensity of the health care services 
delivered by a particular LTCH and the average cost level of that LTCH. 
The average adjusted charge is then multiplied by the LTCH's case-mix 
index to produce an adjusted hospital-specific relative charge value 
for the case. We used an initial case-mix-index value of 1.0 for each 
LTCH.
    For each proposed MS-LTC-DRG, we calculated the FY 2027 relative 
weight by dividing the SSO-adjusted average of the hospital-specific 
relative charge values for applicable LTCH cases for the MS-LTC-DRG 
(that is, the sum of the hospital-specific relative charge value, as 
previously stated, divided by the sum of equivalent cases from Step 5 
for each MS-LTC-DRG) by the overall SSO-adjusted average hospital-
specific relative charge value across all applicable LTCH cases for all 
LTCHs (that is, the sum of the hospital-specific relative charge value, 
as previously stated, divided by the sum of equivalent applicable LTCH 
cases from Step 5 for each MS-LTC-DRG). Using these recalculated MS-
LTC-DRG relative weights, each LTCH's average relative weight for all 
of its SSO adjusted trimmed applicable LTCH cases (that is, it's case-
mix) was calculated by dividing the sum of all the LTCH's MS-LTC-DRG 
relative weights by its total number of SSO-adjusted trimmed applicable 
LTCH cases. The LTCHs' hospital-specific relative charge values (from 
previous) are then multiplied by the hospital-specific case-mix 
indexes. The hospital specific case-mix-adjusted relative charge values 
are then used to calculate a new set of MS-LTC-DRG relative weights 
across all LTCHs. This iterative process continued until there was 
convergence between the relative weights produced at adjacent steps, 
for example, when the maximum difference was less than 0.0001.
Step 7--Adjust the Relative Weights To Account for Nonmonotonically 
Increasing Relative Weights
    The MS-DRGs contain base DRGs that have been subdivided into one, 
two, or three severity of illness levels. Where there are three 
severity levels, the most severe level has at least one secondary 
diagnosis code that is referred to as an MCC (that is, major 
complication or comorbidity). The next lower severity level contains 
cases with at least one secondary diagnosis code that is a CC (that is, 
complication or comorbidity). Those cases without an MCC or a CC are 
referred to as ``without CC/MCC.'' When data do not support the 
creation of three severity levels, the base MS-DRG is subdivided into 
either two levels or the base MS-DRG is not subdivided. The two-level 
subdivisions may consist of the MS-DRG with CC/MCC and the MS-DRG 
without CC/MCC. Alternatively, the other type of two-level-subdivision 
may consist of the MS-DRG with MCC and the MS-DRG without MCC.
    In those base MS-LTC-DRGs that are split into either two or three 
severity levels, cases classified into the ``without CC/MCC'' MS-LTC-
DRG are expected to have a lower resource use (and lower costs) than 
the ``with CC/MCC'' MS-LTC-DRG (in the case of a two level split) or 
both the ``with CC'' and the ``with MCC'' MS-LTC-DRGs (in the case of a 
three-level-split). That is, theoretically, cases that are more severe 
typically require greater expenditure of medical care resources and 
would result in higher average charges. Therefore, in the three 
severity levels, relative weights should increase by severity, from 
lowest to highest. If the relative weights decrease as severity 
increases (that is, if within a base MS-LTC-DRG, an MS-LTC-DRG with CC 
has a higher relative weight than one with MCC, or the MS-LTC-DRG 
``without CC/MCC'' has a higher relative weight than either of the 
others), they are nonmonotonic. We continue to believe that utilizing 
nonmonotonic relative weights to adjust Medicare payments would result 
in inappropriate payments because the payment for the cases in the 
higher severity level in a base MS-LTC-DRG (which are generally 
expected to have higher resource use and costs) would be lower than the 
payment for cases in a lower severity level within the same base MS-
LTC-DRG (which are generally expected to have lower resource use and 
costs). Therefore, in determining the proposed FY 2027 MS-LTC-DRG 
relative weights, consistent with our historical methodology, we are 
proposing to continue to combine MS-LTC-DRG severity levels within a 
base MS-LTC-DRG for the purpose of computing a relative weight when 
necessary to ensure that monotonicity is maintained. For a 
comprehensive description of our existing methodology to adjust for 
nonmonotonicity, we refer readers to the FY 2010 IPPS/RY 2010 LTCH PPS 
final rule (74 FR 43964 through 43966). Any adjustments for 
nonmonotonicity that were made in determining the proposed FY 2027 MS-
LTC-DRG relative weights by applying this methodology are denoted in 
Table 11, which is listed in section VI. of the Addendum to this 
proposed rule and is available via the internet on the CMS website.
Step 8--Determine a Relative Weight for MS-LTC-DRGs With no Applicable 
LTCH Cases
    Using the trimmed applicable LTCH cases, consistent with our 
historical methodology, we identified the MS-LTC-DRGs for which there 
were no claims in the December 2025 update of the FY 2025 MedPAR file 
and, therefore, for which no charge data was available for these MS-
LTC-DRGs. Because patients with a number of the diagnoses under these 
MS-LTC-DRGs may be

[[Page 19560]]

treated at LTCHs, consistent with our historical methodology, we 
generally assign a relative weight to each of the no-volume MS-LTC-DRGs 
based on clinical similarity and relative costliness (with the 
exception of ``transplant'' MS-LTC-DRGs, ``error'' MS-LTC-DRGs, and MS-
LTC-DRGs that indicate a principal diagnosis related to a psychiatric 
diagnosis or rehabilitation (referred to as the ``psychiatric or 
rehabilitation'' MS-LTC-DRGs), as discussed later in this section of 
the preamble of this proposed rule). (For additional information on 
this step of the relative weight methodology, we refer readers to 67 FR 
55991 and 74 FR 43959 through 43960.)
    Consistent with our existing methodology, we are proposing to 
cross-walk each no-volume proposed MS-LTC-DRG to another proposed MS-
LTC-DRG for which we calculated a relative weight (determined in 
accordance with the methodology as previously described). Then, the 
``no-volume'' proposed MS-LTC-DRG is assigned the same relative weight 
(and average length of stay) of the proposed MS-LTC-DRG to which it was 
cross-walked (as described in greater detail in this section of the 
preamble of this proposed rule).
    Of the 768 proposed MS-LTC-DRGs for FY 2027, we identified 414 MS-
LTC-DRGs for which there were no trimmed applicable LTCH cases. The 414 
MS-LTC-DRGs for which there were no trimmed applicable LTCH cases 
includes the 11 ``transplant'' MS-LTC-DRGs, the 2 ``error'' MS-LTC-
DRGs, and the 15 ``psychiatric or rehabilitation'' MS-LTC-DRGs, which 
are discussed in this section of this proposed rule, such that we 
identified 386 MS-LTC-DRGs that for which, we are proposing to assign a 
relative weight using our existing ``no-volume'' MS-LTC-DRG methodology 
(that is, 414-11-2-15 = 386). We are proposing to assign relative 
weights to each of the 386 no-volume MS-LTC-DRGs based on clinical 
similarity and relative costliness to 1 of the remaining 354 (768-414 = 
354) MS-LTC-DRGs for which we calculated relative weights based on the 
trimmed applicable LTCH cases in the FY 2025 MedPAR file data using the 
steps described previously. (For the remainder of this discussion, we 
refer to the ``cross-walked'' MS-LTC-DRGs as one of the 354 MS-LTC-DRGs 
to which we cross-walked each of the 386 ``no-volume'' MS-LTC-DRGs.) 
Then, in general, we are proposing to assign the 386 no-volume MS-LTC-
DRGs the relative weight of the cross-walked MS-LTC-DRG (when 
necessary, we made adjustments to account for nonmonotonicity).
    We cross-walked the no-volume MS-LTC-DRG to a MS-LTC-DRG for which 
we calculated relative weights based on the December 2025 update of the 
FY 2025 MedPAR file, and to which it is similar clinically in intensity 
of use of resources and relative costliness as determined by criteria 
such as care provided during the period of time surrounding surgery, 
surgical approach (if applicable), length of time of surgical 
procedure, postoperative care, and length of stay. (For more details on 
our process for evaluating relative costliness, we refer readers to the 
FY 2010 IPPS/RY 2010 LTCH PPS final rule (73 FR 48543).) We believe in 
the rare event that there would be a few LTCH cases grouped to one of 
the no-volume MS-LTC-DRGs in FY 2027, the relative weights assigned 
based on the cross-walked MS-LTC-DRGs would result in an appropriate 
LTCH PPS payment because the crosswalks, which are based on clinical 
similarity and relative costliness, would be expected to generally 
require equivalent relative resource use.
    Then we assigned the proposed relative weight of the cross-walked 
MS-LTC-DRG as the relative weight for the no-volume MS-LTC-DRG such 
that both of these MS-LTC-DRGs (that is, the no-volume MS-LTC-DRG and 
the cross-walked MS-LTC-DRG) have the same relative weight (and average 
length of stay) for FY 2027. We note that, if the cross-walked MS-LTC-
DRG had 25 applicable LTCH cases or more, its relative weight 
(calculated using the methodology as previously described in Steps 1 
through 4) is assigned to the no-volume MS-LTC-DRG as well. Similarly, 
if the MS-LTC-DRG to which the no-volume MS-LTC-DRG was cross-walked 
had 24 or less cases and, therefore, was designated to 1 of the low-
volume quintiles for purposes of determining the relative weights, we 
assigned the relative weight of the applicable low-volume quintile to 
the no-volume MS-LTC-DRG such that both of these MS-LTC-DRGs (that is, 
the no-volume MS-LTC-DRG and the cross-walked MS-LTC-DRG) have the same 
relative weight for FY 2027. (As we noted previously, in the infrequent 
case where nonmonotonicity involving a no-volume MS-LTC-DRG resulted, 
additional adjustments are required to maintain monotonically 
increasing relative weights.)
    For this proposed rule, we are providing the list of the no-volume 
MS-LTC-DRGs and the MS-LTC-DRGs to which each was cross-walked (that 
is, the cross-walked MS-LTC-DRGs) for FY 2027 in a supplemental data 
file for public use posted via the internet on the CMS website for this 
proposed rule at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html to streamline the information made 
available to the public that is used in the annual development of Table 
11.
    To illustrate this methodology for determining the proposed 
relative weights for the FY 2027 MS-LTC-DRGs with no applicable LTCH 
cases, we are providing the following example.
    Example: There were no trimmed applicable LTCH cases in the FY 2025 
MedPAR file that we are using for this proposed rule for proposed MS-
LTC-DRG 061 (Ischemic stroke, precerebral occlusion or transient 
ischemia with thrombolytic agent with MCC). We determined that proposed 
MS-LTC-DRG 064 (Intracranial hemorrhage or cerebral infarction with 
MCC) is similar clinically and based on resource use to proposed MS-
LTC-DRG 061. Therefore, we are proposing to assign the same relative 
weight (and average length of stay) of proposed MS-LTC-DRG 064 of 
1.0495 for FY 2027 to proposed MS-LTC-DRG 061 (we refer readers to 
Table 11, which is listed in section VI. of the Addendum to this 
proposed rule and is available via the internet on the CMS website).
    Again, we note that, as this system is dynamic, it is entirely 
possible that the number of MS-LTC-DRGs with no volume would vary in 
the future. Consistent with our historical practice, we are proposing 
to use the best available claims data to identify the trimmed 
applicable LTCH cases from which we determined the relative weights in 
the final rule.
    For FY 2027, consistent with our historical relative weight 
methodology, we are proposing to establish a relative weight of 0.0000 
for the following transplant MS-LTC-DRGs: Heart Transplant or Implant 
of Heart Assist System with MCC (MS-LTC-DRG 001); Heart Transplant or 
Implant of Heart Assist System without MCC (MS-LTC-DRG 002); Liver 
Transplant with MCC or Intestinal Transplant (MS-LTC-DRG 005); Liver 
Transplant without MCC (MS-LTC-DRG 006); Lung Transplant (MS-LTC-DRG 
007); Simultaneous Pancreas, Islet Cell and Kidney Transplant (MS-LTC-
DRG 008); Simultaneous Pancreas, Islet Cell and Kidney Transplant with 
Hemodialysis (MS-LTC-DRG 019); Pancreas or Islet Cell Transplant (MS-
LTC-DRG 010); Kidney Transplant (MS-LTC-DRG 652); Kidney Transplant 
with Hemodialysis with MCC (MS-LTC-DRG 650), and Kidney Transplant with 
Hemodialysis without MCC (MS-LTC-DRG 651). This is because Medicare 
only covers these

[[Page 19561]]

procedures if they are performed at a hospital that has been certified 
for the specific procedures by Medicare and presently no LTCH has been 
so certified. At the present time, we include these 11 transplant MS-
LTC-DRGs in the GROUPER program for administrative purposes only. 
Because we use the same GROUPER program for LTCHs as is used under the 
IPPS, removing these MS-LTC-DRGs would be administratively burdensome. 
(For additional information regarding our treatment of transplant MS-
LTC-DRGs, we refer readers to the RY 2010 LTCH PPS final rule (74 FR 
43964).) In addition, consistent with our historical policy, we are 
proposing to establish a relative weight of 0.0000 for the 2 ``error'' 
MS-LTC-DRGs (that is, MS-LTC-DRG 998 (Principal Diagnosis Invalid as 
Discharge Diagnosis) and MS-LTC-DRG 999 (Ungroupable)) because 
applicable LTCH cases grouped to these MS-LTC-DRGs cannot be properly 
assigned to an MS-LTC-DRG according to the grouping logic.
    Additionally, we are proposing to establish a relative weight of 
0.0000 for the following ``psychiatric or rehabilitation'' MS-LTC-DRGs: 
MS-LTC-DRG 876 (O.R. Procedures with Principal Diagnosis of Mental 
Illness); MS-LTC-DRG 880 (Acute Adjustment Reaction & Psychosocial 
Dysfunction); MS-LTC-DRG 881 (Depressive Neuroses); MS-LTC-DRG 882 
(Neuroses Except Depressive); MS-LTC-DRG 883 (Disorders of Personality 
& Impulse Control); MS-LTC-DRG 884 (Organic Disturbances & Intellectual 
Disability); MS-LTC-DRG 885 (Psychoses); MS-LTC-DRG 886 (Behavioral & 
Developmental Disorders); MS-LTC-DRG 887 (Other Mental Disorder 
Diagnoses); MS-LTC-DRG 894 (Alcohol, Drug Abuse or Dependence, Left 
AMA); MS-LTC-DRG 895 (Alcohol, Drug Abuse or Dependence with 
Rehabilitation Therapy); MS-LTC-DRG 896 (Alcohol, Drug Abuse or 
Dependence without Rehabilitation Therapy with MCC); MS-LTC-DRG 897 
(Alcohol, Drug Abuse or Dependence without Rehabilitation Therapy 
without MCC); MS-LTC-DRG 945 (Rehabilitation with CC/MCC); and MS-LTC-
DRG 946 (Rehabilitation without CC/MCC). We are proposing to establish 
a relative weight of 0.0000 for these 15 ``psychiatric or 
rehabilitation'' MS-LTC-DRGs because the blended payment rate and 
temporary exceptions to the site neutral payment rate would not be 
applicable for any LTCH discharges occurring in FY 2027, and as such 
payment under the LTCH PPS would be no longer be made in part based on 
the LTCH PPS standard Federal payment rate for any discharges assigned 
to those MS-LTC-DRGs.
Step 9--Budget Neutralize the Uncapped Relative Weights
    In accordance with the regulations at Sec.  412.517(b) (in 
conjunction with Sec.  412.503), the annual update to the MS-LTC-DRG 
classifications and relative weights is done in a budget neutral manner 
such that estimated aggregate LTCH PPS payments would be unaffected, 
that is, would be neither greater than nor less than the estimated 
aggregate LTCH PPS payments that would have been made without the MS-
LTC-DRG classification and relative weight changes. (For a detailed 
discussion on the establishment of the budget neutrality requirement 
for the annual update of the MS-LTC-DRG classifications and relative 
weights, we refer readers to the FY 2008 LTCH PPS final rule (72 FR 
26881 and 26882)).
    To achieve budget neutrality under the requirement at Sec.  
412.517(b), under our established methodology, for each annual update 
the MS-LTC-DRG relative weights are uniformly adjusted to ensure that 
estimated aggregate payments under the LTCH PPS would not be affected 
(that is, decreased or increased). Consistent with that provision, we 
are proposing to continue to apply budget neutrality adjustments in 
determining the proposed FY 2027 MS-LTC-DRG relative weights so that 
our proposed update of the MS-LTC-DRG classifications and relative 
weights for FY 2027 are made in a budget neutral manner. For FY 2027, 
we are proposing to apply two budget neutrality factors to determine 
the MS-LTC-DRG relative weights. In this step, we describe the 
determination of the budget neutrality adjustment that accounts for the 
proposed update of the MS-LTC-DRG classifications and relative weights 
prior to the application of the ten-percent cap. In steps 10 and 11, we 
describe the application of the 10-percent cap policy (step 10) and the 
determination of the proposed budget neutrality factor that accounts 
for the application of the 10-percent cap policy (step 11).
    In this proposed rule, to ensure budget neutrality for the proposed 
update to the MS-LTC-DRG classifications and relative weights prior to 
the application of the 10-percent cap (that is, uncapped relative 
weights), under Sec.  412.517(b), we are proposing to continue to use 
our established two-step budget neutrality methodology. Therefore, in 
the first step of our MS-LTC-DRG update budget neutrality methodology, 
for FY 2027, we calculated and applied a proposed normalization factor 
to the recalibrated relative weights (the result of Steps 1 through 8 
discussed previously) to ensure that estimated payments are not 
affected by changes in the composition of case types or the changes to 
the classification system. That is, the normalization adjustment is 
intended to ensure that the recalibration of the MS-LTC-DRG relative 
weights (that is, the process itself) neither increases nor decreases 
the average case-mix index.
    To calculate the proposed normalization factor for FY 2027, we 
propose to use the following three steps: (1.a.) use the applicable 
LTCH cases from the best available data (that is, LTCH discharges from 
the FY 2025 MedPAR file) and group them using the proposed FY 2027 
GROUPER (that is, Version 44 for FY 2027) and the proposed recalibrated 
FY 2027 MS-LTC-DRG uncapped relative weights (determined in Steps 1 
through 8 discussed previously) to calculate the average case-mix 
index; (1.b.) group the same applicable LTCH cases (as are used in Step 
1.a.) using the FY 2026 GROUPER (Version 43) and FY 2026 MS-LTC-DRG 
relative weights in Table 11 of the FY 2026 IPPS/LTCH PPS final rule 
and calculate the average case-mix index; and (1.c.) compute the ratio 
of these average case-mix indexes by dividing the average case-mix 
index for FY 2026 (determined in Step 1.b.) by the average case-mix 
index for FY 2027 (determined in Step 1.a.). As a result, in 
determining the proposed MS-LTC-DRG relative weights for FY 2027, each 
recalibrated MS-LTC-DRG uncapped relative weight is multiplied by the 
proposed normalization factor of 1.27379 (determined in Step 1.c.) in 
the first step of the budget neutrality methodology, which produces 
``normalized relative weights.''
    In the second step of our MS-LTC-DRG update budget neutrality 
methodology, we calculated a proposed budget neutrality adjustment 
factor consisting of the ratio of estimated aggregate FY 2027 LTCH PPS 
standard Federal payment rate payments for applicable LTCH cases before 
reclassification and recalibration to estimated aggregate payments for 
FY 2027 LTCH PPS standard Federal payment rate payments for applicable 
LTCH cases after reclassification and recalibration. That is, for this 
proposed rule, for FY 2027, we propose to determine the budget 
neutrality adjustment factor using the following three steps: (2.a.) 
simulate estimated total FY 2027 LTCH PPS standard Federal payment rate 
payments for applicable LTCH cases using the

[[Page 19562]]

uncapped normalized relative weights for FY 2027 and proposed GROUPER 
Version 44; (2.b.) simulate estimated total FY 2027 LTCH PPS standard 
Federal payment rate payments for applicable LTCH cases using the FY 
2026 GROUPER (Version 43) and the FY 2026 MS-LTC-DRG relative weights 
in Table 11 of the FY 2026 IPPS/LTCH PPS final rule; and (2.c.) 
calculate the ratio of these estimated total payments by dividing the 
value determined in Step 2.b. by the value determined in Step 2.a. In 
determining the proposed FY 2027 MS-LTC-DRG relative weights, each 
uncapped normalized relative weight is then multiplied by a proposed 
budget neutrality factor of 1.0037632 (the value determined in Step 
2.c.) in the second step of the budget neutrality methodology.
Step 10--Apply the 10-Percent Cap to Decreases in MS-LTC-DRG Relative 
Weights
    To mitigate the financial impacts of significant year-to-year 
reductions in MS-LTC-DRGs relative weights, beginning in FY 2023, we 
adopted a policy that applies a budget neutral 10-percent cap on annual 
relative weight decreases for MS-LTC-DRGs with at least 25 applicable 
LTCH cases (Sec.  412.515(b)). Under this policy, in cases where CMS 
creates new MS-LTC-DRGs or modifies the MS-LTC-DRGs as part of its 
annual reclassifications resulting in renumbering of one or more MS-
LTC-DRGs, the 10-percent cap does not apply to the relative weight for 
any new or renumbered MS-LTC-DRGs for the fiscal year. We refer readers 
to section VIII.B.3.b. of the preamble of the FY 2023 IPPS/LTCH PPS 
final rule with comment period for a detailed discussion on the 
adoption of the 10-percent cap policy (87 FR 49152 through 49154).
    Applying the 10-percent cap to MS-LTC-DRGs with 25 or more cases 
results in more predictable and stable MS-LTC-DRG relative weights from 
year to year, especially for high-volume MS-LTC-DRGs that generally 
have the largest financial impact on an LTCH's operations. For this 
proposed rule, in cases where the relative weight for a MS-LTC-DRG with 
25 or more applicable LTCH cases would decrease by more than 10-percent 
in FY 2027 relative to FY 2026, we are proposing to limit the reduction 
to 10-percent. Under this policy, we do not apply the 10 percent cap to 
the proposed low-volume MS-LTC-DRGs identified in Step 3 or the 
proposed no-volume MS-LTC-DRGs identified in Step 8.
    Therefore, in this step, for each proposed FY 2027 MS-LTC-DRG with 
25 or more applicable LTCH cases (excludes low-volume and zero-volume 
MS-LTC-DRGs) we compared its FY 2027 relative weight (after application 
of the proposed normalization and proposed budget neutrality factors 
determined in Step 9), to its FY 2026 MS-LTC-DRG relative weight. For 
any MS-LTC-DRG where the FY 2027 relative weight would otherwise have 
declined more than 10 percent, we established a proposed capped FY 2027 
MS-LTC-DRG relative weight that is equal to 90 percent of that MS-LTC-
DRG's FY 2026 relative weight (that is, we set the proposed FY 2027 
relative weight equal to the FY 2026 weight x 0.90).
    In section II.C. of the preamble of this proposed rule, we discuss 
our proposed changes to the MS-DRGs, and by extension the MS-LTC-DRGs, 
for FY 2027. As discussed previously, under our current policy, the 10-
percent cap does not apply to the relative weight for any new or 
renumbered MS-LTC-DRGs. We are not proposing any changes to this policy 
for FY 2027, and as such any proposed new or renumbered MS-LTC-DRGs for 
FY 2027 would not be eligible for the 10-percent cap.
Step 11--Budget Neutralize Application of the 10-Percent Cap Policy
    Under the requirement at existing Sec.  412.517(b) that aggregate 
LTCH PPS payments will be unaffected by annual changes to the MS-LTC-
DRG classifications and relative weights, consistent with our 
established methodology, we are proposing to continue to apply a budget 
neutrality adjustment to the MS-LTC-DRG relative weights so that the 
10-percent cap on relative weight reductions (step 10) is implemented 
in a budget neutral manner. Therefore, we are proposing to determine 
the proposed budget neutrality adjustment factor for the 10-percent cap 
on relative weight reductions using the following three steps: (a) 
simulate estimated total FY 2027 LTCH PPS standard Federal payment rate 
payments for applicable LTCH cases using the proposed capped relative 
weights for FY 2027 (determined in Step 10) and proposed GROUPER 
Version 44; (b) simulate estimated total FY 2027 LTCH PPS standard 
Federal payment rate payments for applicable LTCH cases using the 
proposed uncapped relative weights for FY 2027 (determined in Step 9) 
and proposed GROUPER Version 44; and (c) calculate the ratio of these 
estimated total payments by dividing the value determined in step (b) 
by the value determined in step (a). In determining the proposed FY 
2027 MS-LTC-DRG relative weights, each capped relative weight is then 
multiplied by a proposed budget neutrality factor of 0.997832 (the 
value determined in step (c)) to achieve the budget neutrality 
requirement.
    Table 11, which is listed in section VI. of the Addendum to this 
proposed rule and is available via the internet on the CMS website, 
lists the proposed MS-LTC-DRGs and their respective proposed relative 
weights, proposed geometric mean length of stay, and proposed five-
sixths of the geometric mean length of stay (used to identify SSO cases 
under Sec.  412.529(a)) for FY 2027. We also are making available on 
the website the proposed MS-LTC-DRG relative weights prior to the 
application of the 10 percent cap on MS-LTC-DRG relative weight 
reductions and corresponding proposed cap budget neutrality factor.

C. Proposed Changes to the LTCH PPS Payment Rates and Other Proposed 
Changes to the LTCH PPS for FY 2027

1. Overview of Development of the Proposed LTCH PPS Standard Federal 
Payment Rates
    The basic methodology for determining LTCH PPS standard Federal 
payment rates is currently set forth at 42 CFR 412.515 through 412.533 
and 412.535. In this section, we discuss the factors that we are 
proposing to use to update the LTCH PPS standard Federal payment rate 
for FY 2027, that is, effective for LTCH discharges occurring on or 
after October 1, 2026, through September 30, 2027. Under the dual rate 
LTCH PPS payment structure required by statute, beginning with 
discharges in cost reporting periods beginning in FY 2016, only LTCH 
discharges that meet the criteria for exclusion from the site neutral 
payment rate are paid based on the LTCH PPS standard Federal payment 
rate specified at 42 CFR 412.523. (For additional details on our 
finalized policies related to the dual rate LTCH PPS payment structure 
required by statute, we refer readers to the FY 2016 IPPS/LTCH PPS 
final rule (80 FR 49601 through 49623).)
    Prior to the implementation of the dual payment rate system in FY 
2016, all LTCH discharges were paid similarly to those now exempt from 
the site neutral payment rate. That legacy payment rate was called the 
standard Federal rate. For details on the development of the initial 
standard Federal rate for FY 2003, we refer readers to the August 30, 
2002, LTCH PPS final rule (67 FR 56027 through 56037). For subsequent 
updates to the standard Federal rate from FYs 2003

[[Page 19563]]

through 2015, and LTCH PPS standard Federal payment rate from FY 2016 
through present, as implemented under 42 CFR 412.523(c)(3), we refer 
readers to the FY 2020 IPPS/LTCH PPS final rule (84 FR 42445 through 
42446).
    In this FY 2027 IPPS/LTCH PPS proposed rule, we present our 
proposed policies related to the annual update to the LTCH PPS standard 
Federal payment rate for FY 2027.
    The proposed update to the LTCH PPS standard Federal payment rate 
for FY 2027 is presented in section V.A. of the Addendum to this 
proposed rule. The components of the proposed annual update to the LTCH 
PPS standard Federal payment rate for FY 2027 are discussed in this 
section, including the statutory reduction to the annual update for 
LTCHs that fail to submit quality reporting data for FY 2027 as 
required by the statute (as discussed in section IX.C.2.c. of the 
preamble of this proposed rule). We are proposing to make an adjustment 
to the LTCH PPS standard Federal payment rate to account for the 
estimated effect of the changes to the area wage level for FY 2027 on 
estimated aggregate LTCH PPS payments, in accordance with 42 CFR 
412.523(d)(4) (as discussed in section V.B. of the Addendum to this 
proposed rule).
2. Proposed FY 2027 LTCH PPS Standard Federal Payment Rate Annual 
Market Basket Update
a. Overview
    Historically, the Medicare program has used a market basket to 
account for input price increases in the services furnished by 
providers. The market basket used for the LTCH PPS includes both 
operating and capital-related costs of LTCHs because the LTCH PPS uses 
a single payment rate for both operating and capital-related costs. We 
adopted the 2022-based LTCH market basket for use under the LTCH PPS 
beginning in FY 2025. For additional details on the historical 
development of the market basket used under the LTCH PPS, we refer 
readers to the FY 2013 IPPS/LTCH PPS final rule (77 FR 53467 through 
53476), and for a complete discussion of the LTCH market basket and a 
description of the methodologies used to determine the operating and 
capital-related portions of the 2022-based LTCH market basket, we refer 
readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 69435 through 
69455).
    Section 3401(c) of the Affordable Care Act provides for certain 
adjustments to any annual update to the LTCH PPS standard Federal 
payment rate and refers to the timeframes associated with such 
adjustments as a ``rate year.'' We note that, because the annual update 
to the LTCH PPS policies, rates, and factors now occurs on October 1, 
we adopted the term ``fiscal year'' (FY) rather than ``rate year'' (RY) 
under the LTCH PPS beginning October 1, 2010, to conform with the 
standard definition of the Federal fiscal year (October 1 through 
September 30) used by other PPSs, such as the IPPS (75 FR 50396 through 
50397). Although the language of sections 3004(a), 3401(c), 10319, and 
1105(b) of the Affordable Care Act refers to years 2010 and thereafter 
under the LTCH PPS as ``rate year,'' consistent with our change in the 
terminology used under the LTCH PPS from ``rate year'' to ``fiscal 
year,'' for purposes of clarity, when discussing the annual update for 
the LTCH PPS standard Federal payment rate, including the provisions of 
the Affordable Care Act, we use ``fiscal year'' rather than ``rate 
year'' for 2011 and subsequent years.
b. Proposed Annual Update to the LTCH PPS Standard Federal Payment Rate 
for FY 2027
    As previously noted, we adopted the 2022-based LTCH market basket 
for use under the LTCH PPS beginning in FY 2025. The 2022-based LTCH 
market basket is primarily based on the Medicare cost report data 
submitted by LTCHs and, therefore, specifically reflects the cost 
structures of LTCHs. For additional details on the development of the 
2022-based LTCH market basket, we refer readers to the FY 2025 IPPS/
LTCH PPS final rule (89 FR 69435 through 69455). We continue to believe 
that the 2022-based LTCH market basket appropriately reflects the cost 
structure of LTCHs for the reasons discussed when we adopted its use in 
the FY 2025 IPPS/LTCH PPS final rule. Therefore, in this proposed rule, 
we are proposing to use the 2022-based LTCH market basket to update the 
LTCH PPS standard Federal payment rate for FY 2027.
    Section 1886(m)(3)(A) of the Act provides that, beginning in FY 
2010, any annual update to the LTCH PPS standard Federal payment rate 
is reduced by the adjustments specified in clauses (i) and (ii) of 
subparagraph (A), as applicable. Clause (i) of section 1886(m)(3)(A) of 
the Act provides for a reduction, for FY 2012 and each subsequent rate 
year, by ``the productivity adjustment'' described in section 
1886(b)(3)(B)(xi)(II) of the Act. Section 1886(b)(3)(B)(xi)(II) of the 
Act, as added by section 3401(a) of the Affordable Care Act, defines 
this productivity adjustment as equal to the 10-year moving average of 
changes in annual economy-wide, private nonfarm business multifactor 
productivity (as projected by the Secretary for the 10-year period 
ending with the applicable fiscal year, year, cost reporting period, or 
other annual period). The U.S. Department of Labor's Bureau of Labor 
Statistics (BLS) publishes the official measures of productivity for 
the U.S. economy. The productivity measure referenced in section 
1886(b)(3)(B)(xi)(II) is published by BLS as private nonfarm business 
total factor productivity ((TFP) previously referred to as multifactor 
productivity).\156\ We refer readers to www.bls.gov/productivity for 
the BLS historical published TFP data. A complete description of IGI's 
TFP projection methodology is available on the CMS website at https://www.cms.gov/data-research/statistics-trends-and-reports/medicare-program-rates-statistics/market-basket-research-and-information. 
Section 1886(m)(3)(A)(ii) of the Act provided for a reduction, for each 
of FYs 2010 through 2019, by the ``other adjustment'' described in 
section 1886(m)(4)(F) of the Act.
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    \156\ https://www.bls.gov/productivity/notices/2021/mfp-to-tfp-term-change.htm
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    Section 1886(m)(3)(B) of the Act provides that the application of 
paragraph (3) may result in the annual update being less than zero for 
a rate year, and may result in payment rates for a rate year being less 
than such payment rates for the preceding rate year.
c. Proposed Adjustment to the LTCH PPS Standard Federal Payment Rate 
Under the Long-Term Care Hospital Quality Reporting Program (LTCH QRP)
    In accordance with section 1886(m)(5) of the Act, the Secretary 
established the Long-Term Care Hospital Quality Reporting Program (LTCH 
QRP). The reduction in the annual update to the LTCH PPS standard 
Federal payment rate for failure to report quality data under the LTCH 
QRP for FY 2014 and subsequent fiscal years is codified under 42 CFR 
412.523(c)(4). The LTCH QRP, as required for FY 2014 and subsequent 
fiscal years by section 1886(m)(5)(A)(i) of the Act, requires that a 
2.0 percentage points reduction be applied to any update under 42 CFR 
412.523(c)(3) for an LTCH that does not submit quality reporting data 
to the Secretary in accordance with section 1886(m)(5)(C) of the Act 
with respect to such a year (that is, in the form and manner and at the 
time specified by the Secretary under the LTCH QRP under 42 CFR 
412.523(c)(4)(i)). Section 1886(m)(5)(A)(ii) of the Act provides

[[Page 19564]]

that the application of the 2.0 percentage points reduction may result 
in an annual update that is less than 0.0 for a year, and may result in 
LTCH PPS payment rates for a year being less than such LTCH PPS payment 
rates for the preceding year. Furthermore, section 1886(m)(5)(B) of the 
Act specifies that the 2.0 percentage points reduction is applied in a 
noncumulative manner, such that any reduction made under section 
1886(m)(5)(A) of the Act shall apply only with respect to the year 
involved and shall not be taken into account in computing the LTCH PPS 
payment amount for a subsequent year. These requirements are codified 
in the regulations at 42 CFR 412.523(c)(4). (For additional information 
on the history of the LTCH QRP, including the statutory authority and 
the selected measures, we refer readers to section X.E. of the preamble 
of this proposed rule.)
d. Proposed Annual Market Basket Update Under the LTCH PPS for FY 2027
    Consistent with our historical practice, we estimate the market 
basket percentage increase and the productivity adjustment based on IHS 
Global Inc.'s (IGI's) forecast using the most recent available data. 
Based on IGI's fourth quarter 2025 forecast, the proposed FY 2027 
market basket percentage increase for the LTCH PPS using the 2022-based 
LTCH market basket is 3.2 percent. The proposed productivity adjustment 
for FY 2027 based on IGI's fourth quarter 2025 forecast is 0.8 
percentage point.
    For FY 2027, section 1886(m)(3)(A)(i) of the Act requires that any 
annual update to the LTCH PPS standard Federal payment rate be reduced 
by the productivity adjustment, described in section 
1886(b)(3)(B)(xi)(II) of the Act. Consistent with the statute, we are 
proposing to reduce the FY 2027 market basket percentage increase by 
the FY 2027 productivity adjustment. To determine the proposed market 
basket update for LTCHs for FY 2027 we subtracted the proposed FY 2027 
productivity adjustment from the proposed FY 2027 market basket 
percentage increase. (For additional details on our established 
methodology for adjusting the market basket percentage increase by the 
productivity adjustment, we refer readers to the FY 2012 IPPS/LTCH PPS 
final rule (76 FR 51771).) In addition, for FY 2027, section 1886(m)(5) 
of the Act requires that, for LTCHs that do not submit quality 
reporting data as required under the LTCH QRP, any annual update to an 
LTCH PPS standard Federal payment rate, after application of the 
adjustments required by section 1886(m)(3) of the Act, shall be further 
reduced by 2.0 percentage points.
    In this FY 2027 IPPS/LTCH PPS proposed rule, in accordance with the 
statute, we are proposing to reduce the proposed FY 2027 market basket 
percentage increase of 3.2 percent (based on IGI's fourth quarter 2025 
forecast of the 2022-based LTCH market basket) by the proposed FY 2027 
productivity adjustment of 0.8 percentage point (based on IGI's fourth 
quarter 2025 forecast). Therefore, under the authority of section 123 
of the BBRA as amended by section 307(b) of the BIPA, consistent with 
42 CFR 412.523(c)(3)(xvii), we are proposing to establish an annual 
market basket update to the LTCH PPS standard Federal payment rate for 
FY 2027 of 2.4 percent (that is, the proposed LTCH PPS market basket 
percentage increase of 3.2 percent less the proposed productivity 
adjustment of 0.8 percentage point). For LTCHs that fail to submit 
quality reporting data under the LTCH QRP, under 42 CFR 
412.523(c)(3)(xvii) in conjunction with 42 CFR 412.523(c)(4), we are 
proposing to further reduce the annual update to the LTCH PPS standard 
Federal payment rate by 2.0 percentage points, in accordance with 
section 1886(m)(5) of the Act. Accordingly, we are proposing to 
establish an annual update to the LTCH PPS standard Federal payment 
rate of 0.4 percent (that is, the proposed 2.4 percent LTCH market 
basket update minus 2.0 percentage points) for FY 2027 for LTCHs that 
fail to submit quality reporting data as required under the LTCH QRP. 
Consistent with our historical practice, we also are proposing that if 
more recent data subsequently become available (for example, a more 
recent estimate of the market basket percentage increase and 
productivity adjustment), we would use such data, if appropriate, to 
determine the FY 2027 market basket percentage increase and 
productivity adjustment in the final rule. We note that, consistent 
with historical practice, we are also proposing to adjust the FY 2027 
LTCH PPS standard Federal payment rate by an area wage level budget 
neutrality factor in accordance with 42 CFR 412.523(d)(4) (as discussed 
in section V.B.6. of the Addendum to this proposed rule).

IX. Proposed Quality Data Reporting Requirements for Specific Providers

A. Overview

    In section IX. of the preamble of this proposed rule, we are 
seeking comment on and proposing changes to the following Medicare 
quality reporting programs:
     In section IX.B. of the preamble of this proposed rule, we 
have the following crosscutting quality program proposals or requests 
for comment:
    ++ Proposed Adoption of the Advance Care Planning Electronic 
Clinical Quality Measure for use in the Hospital Inpatient Quality 
Reporting Program, PPS-Exempt Cancer Hospital Quality Reporting 
Program, and Medicare Promoting Interoperability Program for Eligible 
Hospitals and Critical Access Hospitals (CAHs) (previously known as the 
Medicare EHR Incentive Program).
    ++ Proposed Modifications to Five Mortality Measures in the 
Hospital Inpatient Quality Reporting and Value-based Purchasing 
Programs.
    ++ Measuring Emergency Care Access and Timeliness in the Hospital 
Inpatient Quality Reporting and Hospital Value-Based Purchasing 
Programs--Request for Information.
    ++ Potential Future Use of the Adult Community-Onset Sepsis 
Standardized Mortality Ratio Measure in the Hospital Inpatient Quality 
Reporting Program--Request for Information.
     In section IX.C. of the preamble of this proposed rule, 
the Hospital Inpatient Quality Reporting Program.
     In section IX.D. of the preamble of this proposed rule, 
the PPS-Exempt Cancer Hospital Quality Reporting Program.
     In section IX.E. of the preamble of this proposed rule, 
the Long-Term Care Hospital Quality Reporting Program.
     In section IX.F. of the preamble of this proposed rule, 
the Medicare Promoting Interoperability Program for Eligible Hospitals 
and CAHs.

B. Crosscutting Quality Program Proposals and Requests for Comment

1. Proposed Adoption of the Advance Care Planning Electronic Clinical 
Quality Measure in the Hospital Inpatient Quality Reporting, PPS-Exempt 
Cancer Hospital Quality Reporting, and Medicare Promoting 
Interoperability Programs
a. Background
    The 1990 Patient Self-Determination Act requires hospitals to 
inform patients of their rights regarding medical decisions and 
document the execution of an advance directive in medical records.\157\ 
In the CY 2016 Medicare Physician Fee Schedule final rule (80 FR 70955 
through 70959), we authorized Medicare payment to reimburse 
practitioners for time devoted

[[Page 19565]]

to advance care planning services under specific procedure codes 
beginning in CY 2016.\158\ Despite this, engagement in advance care 
planning remains low.159 160 Among Medicare Fee-For-Service 
beneficiaries, the advance care planning procedure codes were billed 
for less than 6 percent of patients in the three years after their 
introduction,\161\ and about 5 percent of practitioners billed them in 
2021.\162\
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    \157\ Patient Self Determination Act of 1990. 42 U.S. Code 
Sec. Sec.  1395cc(f), 1396a(w).
    \158\ For additional information regarding the Advance Care 
Planning procedure codes, refer to the Fact Sheet available at: 
https://www.cms.gov/files/document/mln-advanced-care-planning.pdf.
    \159\ Gelfman LP, Barnes DE, Goldstein N, Volow AM, Shi Y, Li B, 
Sudore R. (2023). Quality and Satisfaction With Advance Care 
Planning Conversations Among English- and Spanish-Speaking Older 
Adults. Journal of Palliative Medicine, 26(10), 1380-1385. Available 
at: https://doi.org/10.1089/jpm.2022.0565.
    \160\ Sacks OA, Murphy M, O'Malley J, Birkmeyer N, Barnato AE. 
(2024). A Quality Improvement Initiative for Inpatient Advance Care 
Planning. JAMA Health Forum, 5(10):e243172. Available at: https://doi.org/10.1001/jamahealthforum.2024.3172.
    \161\ Weissman JS, Gazarian P, Reich A, Tjia J, Prigerson HG, 
Sturgeon D, Manful A. (2020). Recent Trends in the Use of Medicare 
Advance Care Planning Codes. Journal of Palliative Medicine, 23(12), 
1568-1570. Available at: https://doi.org/10.1089/jpm.2020.0437.
    \162\ Wang N, Jiang C, Paulk E, Wang T, Hu X. (2025). Physician 
Billing for Advance Care Planning Among Medicare Fee-For Service 
Beneficiaries, 2016-2021. The Permanente Journal, 29(3), 105-110. 
Available at: https://doi.org/10.7812/TPP/24.177.
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    Many patients assume that their caregivers know their preferences 
regarding their care, but caregivers incorrectly predict the patients' 
preferences one-third of the time.\163\ Additionally, care preferences 
may change over time,\164\ particularly if there are changes in an 
individual's health status or circumstances.165 166 From the 
patient perspective, the benefits of documenting advance care planning 
can include increased autonomy, reduced unwanted and unnecessary 
treatments, and reduced length and number of hospitalizations as well 
as allowing more time with family and loved ones.\167\ A study among 
terminally ill Medicare beneficiaries also found that earlier advance 
care planning conversations were associated with less intensive care, 
including lower rates of in-hospital death, hospital admission, 
intensive care unit (ICU) admission, and emergency department (ED) 
visits.\168\ These findings underscore the need for early, iterative 
conversations to keep care aligned with evolving patient goals and 
values, and for families and clinicians to have clear guidance in the 
event that patients are unable to convey their 
preferences.169 170 Core elements of advance care planning 
include identifying a trusted health care proxy or surrogate decision-
maker, clarifying care priorities for quality of life, and discussing 
specific treatments and interventions including resuscitation, 
intubation, ventilation, and ICU admission.\171\ Inpatient care teams 
routinely manage high-stakes decisions and care transitions, making 
hospitalization an opportune moment to initiate or update advance care 
planning documentation and ensure updated directives are accessible to 
clinicians across subsequent care settings.
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    \163\ National Institute on Aging. (2022). Advance Care 
Planning: Advance Directives for Health Care. Available at: https://www.nia.nih.gov/health/advance-care-planning/advance-care-planning-advance-directives-health-care.
    \164\ Mastropolo R, Cernik C, Uno H, Fisher L, Xu L, Laurent CA, 
Cannizzaro N, Munneke J, Cooper RM, Lakin JR, Schwartz CM, Casperson 
M, Altschuler A, Kushi L, Chao CR, Wiener L, Mack JW. (2024). 
Evolution in Documented Goals of Care at End of Life for Adolescents 
and Younger Adults With Cancer. JAMA Network Open, 7(12), e2450489. 
Available at: https://doi.org/10.1001/jamanetworkopen.2024.50489.
    \165\ Shah MP, Wenger NS, Glaspy J, Hays RD, Sudore RL, Rahimi 
M, Gibbs L, Anand S, Tseng CH, Walling AM. (2025). Patient-reported 
discordance between care goals and treatment intent in advanced 
cancer. Cancer, 131(17), e35976. Available at: https://doi.org/10.1002/cncr.35976.
    \166\ Young Y, Stone A, Perre T. (2022). Are Young Adults Ready 
to Complete Advance Directives? American Journal of Hospice & 
Palliative Medicine, 39(10), 1188-1193. Available at: https://doi.org/10.1177/10499091211066494.
    \167\ Goswami P. (2021). Advance Care Planning and End-Of-Life 
Communications: Practical Tips for Oncology Advanced Practitioners. 
Journal of the advanced practitioner in oncology, 12(1), 89-95. 
Available at: https://doi.org/10.6004/jadpro.2021.12.1.7.
    \168\ Weissman JS, Reich AJ, Prigerson HG, Gazarian P, Tjia J, 
Kim D, Rodgers P, Manful A. (2021). Association of Advance Care 
Planning Visits With Intensity of Health Care for Medicare 
Beneficiaries With Serious Illness at the End of Life. JAMA Health 
Forum, 2(7), e211829. Available at: https://doi.org/10.1001/jamahealthforum.2021.1829.
    \169\ Shah MP, Wenger NS, Glaspy J, Hays RD, Sudore RL, Rahimi 
M, Gibbs L, Anand S, Tseng CH, Walling AM. (2025). Patient-reported 
discordance between care goals and treatment intent in advanced 
cancer. Cancer, 131(17), e35976. Available at: https://doi.org/10.1002/cncr.35976.
    \170\ National Institute on Aging. (2022). Advance Care 
Planning: Advance Directives for Health Care. Available at: https://www.nia.nih.gov/health/advance-care-planning/advance-care-planning-advance-directives-health-care.
    \171\ National Institute on Aging. (2022). Advance Care 
Planning: Advance Directives for Health Care. Available at: https://www.nia.nih.gov/health/advance-care-planning/advance-care-planning-advance-directives-health-care.
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b. Overview of Measure
    The Advance Care Planning electronic clinical quality measure 
(eCQM) calculates the proportion of adult patients with one or more 
inpatient hospitalizations during the measurement period who, by the 
time of hospital discharge for at least one encounter, have an advance 
care planning document or documentation of an advance care planning 
discussion resulting in a documented decision in the patient's 
electronic health record (EHR). This eCQM is intended to promote timely 
advance care planning by encouraging communication between patients and 
providers to elicit and document the patient's care preferences and 
surrogate decision-makers, thereby supporting age-friendly and goal-
concordant care. The promotion of patient-centered care and utilization 
of EHRs to support health information exchange are important priorities 
across our quality reporting programs. Standardized advance care 
planning documentation in an EHR furthers these priorities to keep care 
aligned with patients' stated preferences across the care continuum. 
The Advance Care Planning eCQM allows for automated extraction of 
patient-level data directly from the EHR. We refer readers to the 
Electronic Clinical Quality Improvement Resource Center (eCQI) for 
detailed eCQM measure specifications and implementation guidance for 
each reporting period: https://ecqi.healthit.gov/eh-cah/ecqm-resources.
c. Measure Calculation
    The measure numerator includes all adult patients with one or more 
inpatient encounters during the measurement period who have an advance 
care planning document or documentation of an advance care planning 
discussion resulting in a documented decision in the patient's EHR by 
the time of hospital discharge during at least one of the inpatient 
encounters. At this time, the numerator comprises any one of the 
following: (1) advance care planning document as evidenced by the 
following types of documents: designated health care agent (health care 
proxy or medical power of attorney for health care),\172\ advance 
directive (or living will), or a portable medical order (medical order 
for life sustaining treatment [MOLST] or physician order for life 
sustaining treatment [POLST] or do not resuscitate [DNR] orders); \173\ 
or (2) documentation

[[Page 19566]]

that an advance care planning discussion with a documented decision 
occurred during the measurement period.\174\
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    \172\ The designated health care agent accounts for the presence 
of a documented health care proxy or medical power of attorney that 
is either already established or identified and documented during 
the inpatient encounter. These forms allow a patient to identify a 
specific person who can make an advance care planning decision on 
the patient's behalf. States vary in the hierarchy of advance care 
planning decision-making by an undesignated proxy, and these state 
specifics are out of scope for the measure.
    \173\ Some state organizations may refer to a MOLST or POLST 
form by other terms such as: medical orders for scope of treatment 
(MOST), physician orders for scope of treatment (POST), clinical 
orders for life-sustaining treatment (COLST), or a transportable 
physician orders for patient preferences (TPOPP).
    \174\ Documentation that an advance care planning discussion 
with decision occurring during the measurement period includes a 
discussion with the patient or the surrogate. This allows discussion 
with a surrogate in instances where a patient is unable to 
participate (for example, incapacitated) without requiring prior 
discussion with the patient.
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    To be counted in the numerator, the advance care planning document 
must be available in the patient's EHR during any hospitalization in 
the measurement period. The measure does not require a date reflecting 
the document's origination or when it was last updated; however, we 
encourage hospitals to support their health care providers in 
discussing with the patient, or their surrogate, whether the document 
accurately reflects the patient's current preferences. In order to be 
counted as an advance care planning discussion leading to a decision, 
the documentation of the discussion with a decision must have a date in 
the EHR that occurs during an inpatient encounter in the measurement 
period. If a patient has multiple inpatient encounters during the 
measurement period, an advance care planning discussion with a decision 
occurring in any one of the inpatient encounters during the measurement 
period is counted toward the numerator. For a detailed list of the EHR 
data elements that comprise the numerator of this proposed eCQM, please 
refer to the CMS QualityNet website, where a list is posted under both 
the Hospital Inpatient Quality Reporting Program \175\ and PPS-Exempt 
Cancer Hospital (PCH) Quality Reporting Program \176\ sections during 
the comment period.
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    \175\ Available at: https://qualitynet.cms.gov/inpatient/iqr/proposedmeasures.
    \176\ Available at: https://qualitynet.cms.gov/pch/pchqr/proposedmeasures.
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    The denominator includes all patients aged 18 years and older at 
the start of the measurement period who are discharged from an 
inpatient hospitalization during the measurement period, which is a 12-
month period that would run from January 1 through December 31 of each 
applicable calendar year.
    There are no numerator or denominator exclusions.\177\ The Advance 
Care Planning eCQM is calculated as a proportion by dividing the number 
of patients who meet the numerator criterion by the total number of 
eligible patients who meet the denominator criterion.
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    \177\ There are no numerator or denomination exclusions as the 
eCQM is intended to encourage advance care planning among all 
adults, recognizing that serious illness or injury can occur at any 
time, regardless of age or baseline health. The numerator is 
designed to account for situations where a patient does not have 
capacity to engage in, declines, or defers advance care planning by 
crediting pre-existing advance care planning documents in the EHR 
and advance care planning discussions with documented decisions 
during an inpatient encounter (including those conducted with a 
surrogate when the patient did not have capacity and those where the 
patient preferred to not name a surrogate or provide an advance care 
plan).
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    We note the PCH Quality Reporting Program currently uses another 
measure, Documentation of Goals of Care Discussions Among Cancer 
Patients measure (88 FR 59222 through 59224), which has some similar 
aims; however, it only evaluates whether specific oncology patients at 
a reporting PCH had documentation related to prognosis, treatment, and 
goals for care. The Advance Care Planning eCQM focuses on documenting 
condition-agnostic medical instructions and surrogate decision-makers 
among all adult patients, which are intended to remain applicable 
across care settings.
    Updated data element feasibility has been tested in two EHR 
systems, and measure score reliability has been tested in 43 hospitals 
across three health systems.\178\ Testing was completed in hospitals 
representing a mix of urban and rural hospitals, hospital sizes, 
teaching statuses (for example, teaching vs. non-teaching), and trauma 
levels. Hospital-level performance rates are summarized in Table 
IX.B.1. As higher scores indicate better performance, the higher 
percentiles are hospitals with higher proportions of an advance care 
planning document or a documented advance care planning conversation 
with a recorded decision in the EHR.
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    \178\ Partnership for Quality Measurement. Advance Care 
Planning. Available at: https://www.p4qm.org/prmr-measures/muc2025-020.
[GRAPHIC] [TIFF OMITTED] TP14AP26.154

    The wide range and variation of results indicate room for quality 
improvement and aligns with evidence in the literature that advance 
care planning remains low. Test results indicated high measure 
reliability and validity (including agreement between data exported 
from the EHR and manual review of the patient chart). For detailed 
information on the measure specifications, please refer to: https://www.p4qm.org/prmr-measures/muc2025-020. During the Technical Expert 
Panel (TEP) convened by the measure developer, interested parties 
broadly supported the measure's validity and felt it provides 
meaningful information to make care decisions. For more details on the 
TEP discussion, we refer readers to the TEP Summary Report available 
at: https://mmshub.cms.gov/sites/default/files/CORE-ACP-TEP3SummaryReport-092625.pdf.
d. Pre-Rulemaking Process and Measure Endorsements
(1) Recommendations From the Pre-Rulemaking Measure Review Process
    We refer readers to the Partnership for Quality Measurement for 
details on the Pre-Rulemaking Measure Review process convened by the 
consensus-based entity (CBE), including the voting procedures used to 
reach consensus on measure recommendations.179 180 The

[[Page 19567]]

Pre-Rulemaking Measure Review Hospital Committee, consisting of both 
the Pre-Rulemaking Measure Review Hospital Recommendation Group 
(hereafter referred to as the Recommendation Group) and Pre-Rulemaking 
Measure Review Hospital Advisory Group, met on January 12 and 13, 2026, 
to review measures included by the Secretary on the publicly available 
``2025 Measures Under Consideration List,'' including the Advance Care 
Planning eCQM.\181\ Table IX.B.2. summarizes the voting results for 
this eCQM in the Hospital Inpatient Quality Reporting, PCH Quality 
Reporting, and Medicare Promoting Interoperability Programs. For all 
three programs, the Recommendation Group reached consensus to recommend 
adoption of the Advance Care Planning eCQM within each program.\182\
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    \179\ Partnership for Quality Measurement. Pre-Rulemaking 
Measure Review web page. Available at: https://www.p4qm.org/prmr/about.
    \180\ In 2025, the CBE updated the Pre-Rulemaking Measure Review 
voting process such that Recommendation Group members will vote to 
either ``recommend'' or ``do not recommend'' that a measure be added 
to the intended CMS program(s), thus, removing the ``recommend with 
conditions'' voting option. The threshold to reach consensus on a 
given measure continues to be a minimum of 75 percent agreement 
among members.
    \181\ Centers for Medicare & Medicaid Services. (December 2025). 
2025 Measures Under Consideration List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports/overview.
    \182\ Partnership for Quality Measurement. (February 2026). 
2025-2026 Pre-Rulemaking Measure Review Recommendation Group Final 
Meeting Summary: Hospital Committee. Available at https://p4qm.org/sites/default/files/2026-02/PRMR-Hospital-Recommendation-Group-Meeting-Final-Summary-508.pdf.
[GRAPHIC] [TIFF OMITTED] TP14AP26.155

    Overall, the Pre-Rulemaking Measure Review Hospital Committee 
largely recognized the importance of advance care planning to improve 
communication and documentation of patient preferences and to promote 
patient-centered care. However, it raised concerns that the eCQM does 
not capture situations when patients decline or defer advance care 
planning and suggested inclusion of EHR codes that capture these 
instances. We understand the concerns of patients declining or 
deferring advance care planning discussions and include EHR codes for 
these situations. Specifically, hospitals can code for instances where 
a patient did not name a surrogate or provide an advance care plan; 
therefore, accommodating the situation where a conversation took place 
but no plan or proxy was named per the patient's preference.
    A few Recommendation Group members who voted to recommend adoption 
of the Advance Care Planning eCQM recommended adding a length of stay 
(LOS) requirement to ensure trust between the patient and provider and 
studying the measure among young adults.
    We appreciate the members' recommendations to add a length of stay 
requirement and to study it among young adults. We considered these 
recommendations and have determined that revision is not appropriate at 
this time as the goal of this measure is to establish advance care 
planning as a normalized, routine part of care regardless of health 
status and age. For patients facing imminent death as well as those 
expected to recover quickly, advance care planning is a priority as 
circumstances can change quickly. However, we will continue to evaluate 
these topics as additional information, experience, or analysis 
develops.
    A Recommendation Group member who voted not to recommend adoption 
of the eCQM for the Programs stated it would function as a check-the-
box exercise rather than meaningful integration of patient preferences 
into care. This member noted that hospitals already ask whether a DNR 
order or advance directive is in place and that care teams rarely 
review these documents or integrate patients' wishes into the care 
plan. The member stated that advance care planning should primarily 
occur with a primary care provider or a specialist managing the 
patient's chronic conditions. We appreciate this feedback, and we wish 
to emphasize that we consider eliciting and documenting patients' 
preferences for care and designation of surrogate decision-makers to be 
a fundamental element of providing high-quality, patient-centered, and 
goal-concordant care. While the eCQM assesses presence of EHR codes 
rather than the quality of underlying conversations, this documentation 
is critical for care teams to reliably locate and use advance care 
planning information when making clinical decisions. Furthermore, 
hospitalization is a critical touchpoint to initiate advance care 
planning or to confirm and update existing information.
    Additionally, a few Recommendation Group members who voted not to 
recommend adoption of the eCQM for the Medicare Promoting 
Interoperability Program indicated that they supported implementing and 
evaluating the eCQM in the Hospital Inpatient Quality Reporting Program 
before considering it for the Medicare Promoting Interoperability 
Program. Another member stated that the eCQM was not sufficiently 
defined for use in the Medicare Promoting Interoperability Program but 
did not provide additional detail regarding this concern in their vote 
rationale.
    As the measure specifications proposed for the Medicare Promoting 
Interoperability Program are the same as those proposed for the 
Hospital Inpatient Quality Reporting and PCH Quality Reporting 
Programs, we believe they are sufficiently defined and appropriate for 
use across all three programs. The eCQM underwent extensive analysis 
and measure specifications development required for the endorsement 
process. Test results indicated high measure reliability and validity 
(including agreement between data exported from the EHR and manual 
review of the patient chart).\183\ We also plan to maintain alignment 
of eCQM reporting requirements and the eCQM measure set between the 
Hospital

[[Page 19568]]

Inpatient Quality Reporting Program and the Medicare Promoting 
Interoperability Program. If the eCQM is finalized for one or more 
programs, we would continue to conduct ongoing monitoring and 
evaluation analyses to watch for any unintended consequences.
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    \183\ Partnership for Quality Measurement. MERIT Submission 
Form, Downloads, Advance Care Planning. Available at: https://www.p4qm.org/prmr-measures/muc2025-020.
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    After taking these recommendations and concerns into consideration, 
we propose to adopt the Advance Care Planning eCQM in the Hospital 
Inpatient Quality Reporting Program, PCH Quality Reporting Program, and 
the Medicare Promoting Interoperability Program.
(2) Measure Endorsements
    We refer readers to the Partnership for Quality Measurement website 
for details on the measure endorsement and maintenance process, 
including the measure evaluation procedures the Endorsement and 
Maintenance Committees use to evaluate measures and whether they meet 
endorsement criteria. We propose to adopt this measure into the 
Hospital Inpatient Quality Reporting Program and the PCH Quality 
Reporting Program despite the measure not being endorsed by the CBE. 
Section 1886(b)(3)(B)(viii)(IX)(aa) of the Act requires that each 
measure specified by the Secretary for use in the Hospital Inpatient 
Quality Reporting Program be endorsed by the entity with a contract 
under section 1890(a) of the Act, and section 1866(k)(3)(A) of the Act 
imposes the same requirement for measures specified for use in the PCH 
Quality Reporting Program. Sections 1886(b)(3)(B)(viii)(IX)(bb) and 
1866(k)(3)(B) of the Act state, however, that in the case of a 
specified area or medical topic determined appropriate by the Secretary 
for which a feasible and practical measure has not been endorsed by the 
entity with a contract under section 1890(a) of the Act, the Secretary 
may specify a measure that is not so endorsed as long as due 
consideration is given to measures that have been endorsed or adopted 
by a consensus organization identified by the Secretary. We reviewed 
CBE-endorsed measures and were unable to identify any other CBE-
endorsed measures on this topic, and, therefore, we believe the 
exceptions in sections 1886(b)(3)(B)(viii)(IX)(bb) and 1866(k)(3)(B) of 
the Act apply.
e. Data Sources, Submission, and Public Reporting
    The proposed Advance Care Planning eCQM is specified in a standard 
electronic format, utilizing data extracted from EHRs, which would 
minimize errors due to manual abstraction of data.\184\ In addition, by 
utilizing data in the EHR, it would allow updated directives to 
potentially be accessible to clinicians across subsequent care 
settings. The measure is designed to be calculated by a hospital's or 
PCH's certified health IT using patient-level data and then submitted 
by the hospital or PCH to CMS.
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    \184\ Centers for Medicare & Medicaid Services. (2023). 
Electronic Clinical Quality Measures (eCQMs) Specification, Testing, 
Standards, Tools, and Community. Available at: https://mmshub.cms.gov/sites/default/files/eCQM-Specifications-Testing-Standards-Tools-Community.pdf.
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    Testing was performed to confirm the feasibility of the measure and 
data elements with manual review of EHR data against chart-abstracted 
data. Testing demonstrated that all critical data elements were 
reliably and consistently captured in the EHR.\185\ Additionally, data 
element validity testing revealed a high level of agreement between EHR 
data and chart review (92 percent and above) for all data elements 
except Advance Directive; however, all fifteen patients with 
electronically identified ``Advance Directive'' documents that were not 
present upon chart review (that is, they did not have an advance 
directive document in their chart) had another advance care planning 
document in their chart that fulfilled the numerator criteria.\186\ 
Finally, the measure showed high reliability, with a mean of 0.9987 and 
standard deviation of 0.0012.\187\ These results indicate that the 
measure is reliable and feasible to implement.
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    \185\ Partnership for Quality Measurement. Meaningfulness Tab, 
Advance Care Planning. Available at: https://www.p4qm.org/prmr-measures/muc2025-020.
    \186\ Partnership for Quality Measurement. MERIT Submission 
Form, Downloads, Advance Care Planning. Available at: https://www.p4qm.org/prmr-measures/muc2025-020.
    \187\ Partnership for Quality Measurement. Meaningfulness Tab, 
Advance Care Planning. Available at: https://www.p4qm.org/prmr-measures/muc2025-020.
_____________________________________-

    In section IX.D.5. of this proposed rule, we are proposing to 
introduce eCQM reporting and submission requirements to the PCH Quality 
Reporting Program, under which PCHs would be required to use certified 
health IT to report and submit eCQMs. PCHs are specialized acute care 
settings that provide intensive inpatient oncology services. As the 
measure was successfully tested in a variety of inpatient hospital 
types and is specified using data elements expected to be available in 
certified EHR technology, we believe that the high level of 
feasibility, validity, and reliability observed in a blend of acute 
care hospitals is reasonably applicable to PCHs despite their specialty 
focus on cancer patients. Further, we would monitor implementation and 
measure performance in PCHs and consider refinements if setting-
specific issues arise.
    For the Hospital Inpatient Quality Reporting Program and the 
Medicare Promoting Interoperability Program, we propose to adopt the 
Advance Care Planning eCQM as part of the eCQM measure set beginning 
with the CY 2028 reporting period/FY 2030 payment determination. A 
hospital can self-select eCQMs to report from the eCQM measure set to 
meet the eCQM reporting requirement. We refer readers to sections 
IX.C.8.c. and IX.F.9. respectively of this proposed rule for a 
discussion of proposed eCQM form, manner, and timing of data submission 
and reporting requirements for these two programs. For the PCH Quality 
Reporting Program, we propose to adopt the Advance Care Planning eCQM 
beginning with the CY 2028 reporting period/FY 2030 program year. We 
refer readers to section IX.D.5. of this proposed rule for a discussion 
of proposed eCQM form, manner, and timing of data submission and 
reporting requirements for the PCH Quality Reporting Program.
    If adoption of the Advance Care Planning eCQM is finalized, we 
propose to publicly report data as soon as it is feasible on CMS 
websites such as the Compare tool on Medicare.gov (https://www.medicare.gov/care-compare/) and the CMS Provider Data Catalog or 
their successor websites after a 30-day preview period.
    We invite public comment on our proposals.
2. Proposed Adoption and Modifications to Five Mortality Measures in 
the Hospital Inpatient Quality Reporting and Value-Based Purchasing 
Programs
a. Background
    In the CY 2007 OPPS/ASC final rule (71 FR 68205 through 68206), we 
began adopting condition-specific and procedure-specific mortality 
measures into the Hospital Inpatient Quality Reporting Program to more 
fully reflect patient outcomes following hospitalization. Beginning 
with the FY 2014 program year, we adopted mortality measures into the 
Hospital Value-Based Purchasing Program, under the Clinical Outcomes 
domain, specifically:
     Hospital 30-Day, All-Cause, Risk-Standardized Mortality 
Rate Following Acute Myocardial Infarction

[[Page 19569]]

Hospitalization (MORT-30-AMI) measure (76 FR 26495 through 26511);
     Hospital 30-Day, All-Cause, Risk-Standardized Mortality 
Rate Following Heart Failure Hospitalization (MORT-30-HF) measure (76 
FR 26495 through 26511);
     Hospital 30-Day, All-Cause, Risk-Standardized Mortality 
Rate Following Pneumonia Hospitalization (MORT-30-PN) measure (adopted 
at 76 FR 26495 through 26511; modified at 81 FR 56994 through 56996);
     Hospital 30-Day, All-Cause, Risk-Standardized Mortality 
Rate Following Chronic Obstructive Pulmonary Disease (COPD) 
Hospitalization (MORT-30-COPD) measure (80 FR 49557 through 49558); and
     Hospital 30-Day, All-Cause, Risk-Standardized Mortality 
Rate Following Coronary Artery Bypass Graft (CABG) Surgery (MORT-30-
CABG) measure (81 FR 56996 through 56998).
    For more details on these five mortality measures, we refer readers 
to the condition-specific and the procedure-specific mortality measures 
updates and specifications reports available at: https://qualitynet.cms.gov/inpatient/measures/mortality/methodology.
    In the FY 2019 IPPS/LTCH PPS final rule (83 FR 41556 through 
41558), after adopting these measures into a pay-for-performance 
program, the Hospital Value-Based Purchasing Program, we removed them 
from the Hospital Inpatient Quality Reporting Program, a pay-for-
reporting program, under removal Factor 8, the costs associated with a 
measure outweigh the benefit of its continued use in the program. We 
subsequently removed these measures from the Hospital Inpatient Quality 
Reporting Program, while maintaining them in the Hospital Value-Based 
Purchasing Program, as a part of our ongoing effort to move the 
programs forward in the least burdensome manner possible, while 
maintaining parsimonious sets of quality measures and continuing to 
incentivize improvement in the quality of care provided to patients. 
These five mortality measures continue to provide meaningful 
information for patients on the quality and value of care provided at a 
hospital and continue to be included in the calculation of incentive 
payment adjustments for the Hospital Value-Based Purchasing Program. 
Table IX.B.3. summarizes our previously finalized policies for these 
five mortality measures in the Hospital Inpatient Quality Reporting and 
Value-Based Purchasing Programs.
[GRAPHIC] [TIFF OMITTED] TP14AP26.156

    In this proposed rule, we propose to adopt the modified versions of 
the MORT-30-AMI, MORT-30-HF, MORT-30-PN, MORT-30-COPD, and the MORT-30-
CABG measures in the Hospital Inpatient Quality Reporting Program 
beginning with the FY 2028 payment determination. We would also modify 
these measures in the Hospital Value-Based Purchasing Program and 
remove them from the Hospital Inpatient Quality Reporting Program 
beginning with the FY 2032 payment determination. When these five 
mortality measures were previously adopted into the Hospital Inpatient 
Quality Reporting Program and Hospital Value-Based Purchasing Programs, 
they only included Medicare Fee-For-Service beneficiaries in the 
measure cohorts. Since the initial adoption of these measures, the 
proportion of Medicare Advantage beneficiaries has increased from 35 
percent of the Medicare population to approximately 50 percent.\188\ If 
finalized as proposed, the modified mortality measures (MORT-30-AMI, 
MORT-30-HF, MORT-30-PN, MORT-30-COPD, and MORT-30-CABG) will have been 
publicly reported in the Hospital Inpatient Quality Reporting Program 
for at least 1 year in accordance with the statutory and regulatory 
requirements of section 1886(o)(2)(C)(i) of the Act and 42 CFR 
412.164(b), before adoption into the Hospital Value-Based Purchasing 
Program.
---------------------------------------------------------------------------

    \188\ Centers for Medicare & Medicaid Services. (2025). Medicare 
Enrollment Dashboard. Available at: https://data.cms.gov/tools/medicare-enrollment-dashboard.
---------------------------------------------------------------------------

b. Overview of Proposed Updates
    We are proposing two substantive modifications to these five 
mortality measures: (1) expand the measure inclusion criteria to 
include Medicare Advantage beneficiaries; and (2) shorten the 
performance period from 3 to 2 years. Inclusion of Medicare Advantage 
beneficiaries expands quality measurement of patient outcomes following 
hospitalization across all Medicare beneficiaries, enhances the 
reliability of measure scores, leads to more hospitals receiving 
results, and increases the chance of identifying meaningful differences 
in quality for some low-volume hospitals. Based on

[[Page 19570]]

our analysis that included Medicare Advantage beneficiaries in addition 
to the Medicare Fee-For-Service measure cohort, we found that the 
measures could achieve a satisfactory level of reliability with a 2-
year reporting period.\189\ The mean reliability for each of the 
modified mortality measures exceeded the CBE established minimum 
threshold of 0.6.\190\ We therefore propose to shorten the reporting 
period from 3 to 2 years for the modified mortality measures. Table 
IX.B.4. summarizes our reliability estimates for the five modified 
mortality measures using a 2 year reporting period (CY 2022-CY 2023) 
and inclusion of Medicare Advantage beneficiaries:
---------------------------------------------------------------------------

    \189\ Partnership for Quality Measurement. (December 2025). 2025 
Pre-Rulemaking Measure Review Preliminary Assessment. Available at: 
https://p4qm.org/prmr-measures/muc2025-036 (MORT-30-AMI); https://p4qm.org/prmr-measures/muc2025-037 (MORT-30-HF); https://p4qm.org/prmr-measures/muc2025-044 (MORT-30-PN); https://p4qm.org/prmr-measures/muc2025-040 (MORT-30-COPD); and https://p4qm.org/prmr-measures/muc2025-046 (MORT-30-CABG).
    \190\ For more details on reliability guidance, we refer readers 
to the Reliability Guidance for the Endorsement and Maintenance of 
Clinical Quality Measures Document available at: https://p4qm.org/em/resources.
---------------------------------------------------------------------------

BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.157

    Table IX.B.5. summarizes the proposed new performance periods for 
the Hospital Inpatient Quality Reporting Program and Hospital Value-
Based Purchasing Program, beginning with the FY 2028 payment 
determination. We refer readers to section V.L.3. for more details on 
the baseline and performance periods in the Hospital Value-Based 
Purchasing Program for the FY 2032 program year and subsequent years.
[GRAPHIC] [TIFF OMITTED] TP14AP26.158

BILLING CODE 4120-01-C
    For more details on the measure refinement methodology and results 
for these measures, we refer readers to the condition-specific and 
procedure-specific mortality measures updates and specifications 
reports available at: https://qualitynet.cms.gov/inpatient/measures/mortality/methodology.
c. Measure Calculation
    The outcomes for the modified mortality measures, MORT-30-AMI, 
MORT-30-HF, MORT-30-PN, MORT-30-COPD, and MORT-30-CABG, would continue 
to measure 30-day, all-cause mortality.
    The measures are calculated by first determining the ratio of the 
number of ``predicted'' deaths (the adjusted number of deaths at a 
specific hospital based on its patient population) to the number of 
``expected'' deaths (the number of deaths if an average quality 
hospital treated the same patients) for each hospital and then 
multiplies the ratio by the national observed mortality rate. The ratio 
of predicted to expected deaths is greater than one for a hospital that 
has more deaths than would be expected for an average hospital with 
similar cases and less than one if the hospital has fewer deaths than 
would be expected for an average hospital with similar cases. This 
allows for a comparison of a particular hospital's performance to an 
average hospital's performance with the same case mix. This approach is 
analogous to a ratio of an ``observed'' or ``crude'' rate to an 
``expected'' or risk adjusted rate used in other similar types of 
statistical analyses.

[[Page 19571]]

(1) Numerator
    The numerator for this measure is 30-day, all-cause mortality. We 
define mortality as death from any cause within 30 days of the start of 
the index admission, including in-hospital death.
(2) Denominator
    The cohort includes admissions for patients that meet all of the 
following inclusion criteria:
     Discharged from the hospital with a principal discharge 
diagnosis of AMI, HF, COPD, pneumonia, or a qualifying CABG procedure;
     Enrolled in Medicare Fee-For-Service Part A and Part B or 
Medicare Advantage for the first 12 months prior to the date of 
admission and enrolled in Part A or Medicare Advantage during the index 
admission; \191\
---------------------------------------------------------------------------

    \191\ This requirement is not applicable to Veterans Health 
Administration (VHA) beneficiaries hospitalized in VHA hospitals, 
who are eligible for inclusion in the cohort regardless of their 
Medicare enrollment status. VHA beneficiaries hospitalized in non-
VHA hospitals must be concurrently enrolled in Medicare Fee-For-
Service Part A or Medicare Advantage at the time of the index 
admission to be eligible for cohort inclusion.
---------------------------------------------------------------------------

     Aged 65 or older; and
     Not transferred from another acute care facility.
    If a patient has more than one eligible AMI, HF, COPD, pneumonia, 
or CABG procedure hospitalization during the reporting period, then we 
randomly select one admission, or eligible procedure,\192\ per year for 
inclusion in the measure cohort.\193\
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    \192\ A qualifying isolated CABG surgery is defined as a 
procedure performed without the following concomitant valve or other 
major cardiac, vascular, or thoracic procedures: valve procedures; 
atrial and/or ventricular septal defects; congenital anomalies; 
other open cardiac procedures; heart transplants; aorta or other 
non-cardiac arterial bypass procedures; head, neck, intracranial 
vascular procedures; or other chest and thoracic procedure.
    \193\ Centers for Medicare & Medicaid Services. (December 2025). 
2025 Measures Under Consideration List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports/overview.
---------------------------------------------------------------------------

    For more information regarding measure specifications, including 
denominator exclusion criteria, we refer readers to condition-specific 
and procedure-specific mortality measures methodology reports at: 
https://qualitynet.cms.gov/inpatient/measures/mortality/methodology.
d. Pre-Rulemaking Process and Measure Endorsements
(1) Recommendations From the Pre-Rulemaking Measure Review Process
    We refer readers to the Partnership for Quality Measurement for 
details on the Pre-Rulemaking Measure Review process convened by the 
CBE, including the voting procedures used to reach consensus on measure 
recommendations.194 195 The Pre-Rulemaking Measure Review 
Hospital Committee, consisting of both the Pre-Rulemaking Measure 
Review Hospital Recommendation Group (hereafter referred to as the 
Recommendation Group) and Pre-Rulemaking Measure Review Hospital 
Advisory Group, met on January 12 and 13, 2026, to review measures 
included by the Secretary on the publicly available ``2025 Measures 
Under Consideration List,'' including the MORT-30-AMI, MORT-30-HF, 
MORT-30-PN, MORT-30-COPD, and the MORT-30-CABG measures.\196\ Table 
IX.B.6. summarizes the voting results for measure recommendations for 
these measures in the Hospital Inpatient Quality Reporting and Value-
Based Purchasing Programs.
---------------------------------------------------------------------------

    \194\ Partnership for Quality Measurement. Pre-Rulemaking 
Measure Review web page. Available at: https://www.p4qm.org/prmr/about.
    \195\ We note the Pre-Rulemaking Measure Review voting process 
was updated in 2025. We refer readers to the corresponding footnote 
in section IX.B.1.d.(1). of this proposed rule for more details on 
the updated Pre-Rulemaking Measure Review voting process.
    \196\ Centers for Medicare & Medicaid Services. (December 2025). 
2025 Measures Under Consideration List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports/overview.
[GRAPHIC] [TIFF OMITTED] TP14AP26.159


[[Page 19572]]


    For the Hospital Inpatient Quality Reporting Program, the 
Recommendation Group reached consensus and recommended the five 
modified mortality measures for adoption into the program. For the 
Hospital Value-Based Purchasing Program, the Recommendation Group 
reached consensus for four of the five modified mortality measures, the 
MORT-30-AMI, MORT-30-HF, MORT-30-PN, and MORT-30-COPD measures, and 
thus, recommended these measures for adoption into the Hospital Value-
Based Purchasing Program. The Recommendation Group did not reach 
consensus to recommend the MORT-30-CABG measure for the Hospital Value-
Based Purchasing Program, although the majority of the Recommendation 
Group did express some support.\197\
---------------------------------------------------------------------------

    \197\ Partnership for Quality Measurement. (February 2026). PRMR 
2025-2026 Pre-Rulemaking Measure Review Recommendation Group Final 
Meeting Summary: Hospital Committee. Available at: https://p4qm.org/sites/default/files/2026-02/PRMR-Hospital-Recommendation-Group-Meeting-Final-Summary-508.pdf.
---------------------------------------------------------------------------

    The Recommendation Group largely supported the addition of Medicare 
Advantage beneficiaries to the measures' cohorts and underscored the 
importance of enhancing transparency and facilitating meaningful 
comparisons and high-quality care by including this population. The 
Recommendation Group also generally agreed that shortening the 
reporting period from 3 to 2 years would lead to more actionable 
insights. Some members recommended further analysis to ensure the 
effects of including Medicare Advantage beneficiaries to the measures' 
cohorts are understood. Some members that did not vote to recommend 
these measures emphasized the need to understand the impacts of 
including Medicare Advantage beneficiaries in hospital performance in 
the Hospital Value-Based Purchasing Program prior to implementation. We 
appreciate the member's recommendation to ensure the impacts of 
including Medicare Advantage beneficiaries in the measure' cohorts is 
understood and we wish to emphasize that, based on our analysis, the 
variation between the two cohorts did not vary significantly for 
mortality rates, and the reliability estimate for the modified measures 
showed satisfactory results.\198\ Therefore, the inclusion of Medicare 
Advantage beneficiaries does not raise concerns regarding potential 
variation between the Fee-For-Service and Medicare Advantage cohorts 
for these measures, or unintended consequences on hospital performance. 
We note that as a part of routine measure maintenance, we conduct 
ongoing monitoring and evaluation analyses to watch for any unintended 
consequences. Table IX.B.7. shows the results for observed 30-day 
mortality rates for the Medicare Fee-For-Service, Medicare Advantage, 
and combined cohorts, as well as the difference between the Medicare 
Fee-For-Service and Medicare Advantage cohorts for the proposed 
modified mortality measures. Further, based on our analysis, we found 
that the mean reliability estimates for the modified mortality 
measures, using two years of data (CY 2022-2023), and the updated 
cohort, all exceeded the CBE established minimum threshold of 0.6.\199\ 
We refer readers to Table IX.B.4., in section IX.B.2.b., for a 
description of our reliability estimates for the modified mortality 
measures, which includes estimates with the updated cohorts.
---------------------------------------------------------------------------

    \198\ Partnership for Quality Measurement. (March 2024). 2024 
Condition- and Procedure-Specific Mortality/Complication Measures 
Supplemental Methodology Report. Available at: https://p4qm.org/prmr-measures/muc2025-036.
    \199\ For more details on reliability guidance, we refer readers 
to the Reliability Guidance for the Endorsement and Maintenance of 
Clinical Quality Measures Document available at: https://p4qm.org/em/resources.
[GRAPHIC] [TIFF OMITTED] TP14AP26.160

    Some Recommendation Group members who recommended adopting the 
modified mortality measures for the Hospital Inpatient Quality 
Reporting and Hospital Value-Based Purchasing Programs also provided 
considerations for strengthening the measures. Many of these 
recommendations included considerations for improving the risk 
adjustment model. Specifically, some members recommended adjusting for 
socioeconomic status in the risk model for all mortality measures. Some 
members that voted to recommend this measure suggested considering 
including the cause of death in the risk model to improve accuracy. 
Other members voted not to recommend these measures for the two 
programs, citing that additional evaluation of the updated risk model 
is needed.
    Regarding the recommendation to add socioeconomic status factors to 
the risk adjustment model, we note that our analysis found that 
including these factors showed minimal impact to measure performance. 
This analysis also found that including these factors could result in 
negative impacts to vulnerable populations by lowering the expected 
mortality for these groups, and we decided to exclude these factors 
from our risk adjustment model. Regarding the recommendation to include 
the cause of death to improve the risk model, we thank the 
Recommendation Group members for this recommendation and will consider 
this in our routine measure maintenance.

[[Page 19573]]

Regarding the recommendation for additional evaluation of the updated 
risk model, we wish to emphasize that we have conducted extensive 
evaluation and based on our analysis using the updated risk adjustment 
methodology, the ability of the updated risk adjustment model to 
account for condition-specific or procedure-specific severity improved 
significantly. We refer readers to section IX.B.2.f. for a detailed 
discussion of our updates to our risk adjustment methodology and 
summary of our analysis comparing the results of the modified measures 
using the two risk adjustment methodologies.
    Recommendation Group members emphasized that the modified measures 
should be re-submitted for endorsement prior to implementation as a 
rationale for not voting to recommend this measure for the Hospital 
Inpatient Quality Reporting and Hospital Value-Based Purchasing 
Programs. Other key reasons cited for not recommending these modified 
mortality measures included recommending a phased implementation 
approach for the measure modifications, as well as confidential 
reporting to ensure a clear understanding of measure impacts. Some 
members expressed concerns about whether small or rural hospitals would 
be able to meet volume thresholds for these measures with the reduced 
reporting period.
    Regarding members' recommendation to re-submit the modified 
measures for endorsement, these measures are currently endorsed by the 
CBE and have been re-submitted for endorsement review with these 
measure modifications for the Spring 2026 cycle. In response to the 
members that recommended a phased implementation of the measures 
modifications as well as confidential reports, we note that we intend 
to provide hospitals with measure performance data with the expanded 
patient cohort based on data collected while the modified versions of 
these measures are in use in the Hospital Inpatient Quality Reporting 
Program via annual confidential hospital-specific reports beginning 
with the FY 2028 program year, as well as via annual Provider 
Participation Summary Reports under the Hospital Value-Based Purchasing 
Program beginning with the FY 2032 program year. Further, we propose 
the modified mortality measures take effect for the Hospital Value-
Based Purchasing Program beginning with the FY 2032 program year, which 
will provide time and data to monitor for any unintended consequences. 
In addition, the FY 2032 Hospital Value-Based Purchasing Program 
performance standards for this measure would be published at least 60 
days prior to the beginning of each applicable performance period as 
required by section 1886(o)(3)(C) of the Act. Regarding the concern 
about whether small or rural hospitals would be unduly burdened by the 
shortening of the reporting period from 3 to 2 years, we wish to note 
that the decrease in cohort size is largely offset with the addition of 
Medicare Advantage beneficiaries to measure cohorts; thus, we do not 
anticipate small or rural hospitals to be unduly burdened by this 
update.
    Specifically for the MORT-30-CABG measure, one member cited the 
potential for unintended consequences for hospitals to refuse care for 
patients with complex co-morbidities as their rationale for not 
recommending this measure for either the Hospital Inpatient Quality 
Reporting Program or the Hospital Value-Based Purchasing Program. We 
appreciate the Recommendation Group member's concern about unintended 
consequences. Based on our analysis with the current risk adjustment 
methodology, which includes risk adjustment for patient frailty, we do 
not anticipate hospitals to be unfairly penalized for treating patients 
who may be more complex. We refer readers to Table IX.B.4., in section 
IX.B.2.b., and Table IX.B.9., in section IX.B.2.f., for more details on 
our analysis of measure reliability and the risk adjustment 
methodology. Further, as a part of routine measure maintenance, we 
conduct ongoing monitoring and evaluation analyses to watch for any 
unintended consequences.
    After taking these recommendations and concerns into consideration, 
we propose to adopt the modified mortality measures in the Hospital 
Inpatient Quality Reporting Program beginning with the FY 2028 payment 
determination and subsequently modify the mortality measures in 
Hospital Value-Based Purchasing Program beginning with the FY 2032 
program year.
(2) Measures Endorsements
    We refer readers to the Partnership for Quality Measurement website 
for details on the measure Endorsement and Maintenance process, 
including the measure evaluation procedures the Endorsement and 
Maintenance Committees use to evaluate measures and whether they meet 
endorsement criteria. Table IX.B.8. summarizes the most recent 
endorsement status and the next planned Endorsement and Maintenance 
review for five modified mortality measures:
[GRAPHIC] [TIFF OMITTED] TP14AP26.161

e. Data Source, Submission and Public Reporting
    These measures would be calculated using administrative data from 
Medicare Fee-For-Service claims or hospital-submitted Medicare 
Advantage claims, and Medicare Advantage Organization-submitted 
encounter data. This data is routinely generated by hospitals and 
submitted to CMS for all Medicare beneficiaries, which includes 
Medicare Advantage and Medicare Fee-For-Service beneficiaries. 
Therefore, a hospital would not be required to report any additional 
data for this measure. Enrollment status would be obtained from the 
Medicare Enrollment Database which contains beneficiary demographic, 
benefit/coverage, and vital status information.
    The proposed modified mortality measures would be calculated and 
publicly reported on an annual basis using a rolling 24 months of prior 
data for the measurement period, consistent with the approach currently 
used for the MORT-30-STK measure, the COMP-

[[Page 19574]]

HIP-KNEE measure, and the Thirty-day Risk-Standardized Death Rate Among 
Surgical Inpatients with Complications measure currently reported in 
the Hospital Inpatient Quality Reporting Program (90 FR 36997 through 
37002, 90 FR 37002 through 37008, and 89 FR 69545 through 69552). We 
would then publicly report the measures results on the Compare tool, 
currently available at: https://www.medicare.gov/care-compare/, 
beginning in July 2027 or as soon as feasible for the Hospital 
Inpatient Quality Reporting Program, which would enable us to post data 
for at least 1 year before adopting the modifications into the Hospital 
Value-Based Purchasing Program, as required by section 1886(o)(2)(C)(i) 
of the Act. For the Hospital Value-Based Purchasing Program, we also 
propose that the performance standards calculation methodology for the 
modified mortality measures would be the same as that which we 
currently use for the mortality measures. The performance standards for 
the modified measures for FY 2032 are not yet available.
    We invite public comment on our proposals to adopt five modified 
mortality measures, MORT-30-AMI, MORT-30-HF, MORT-30-PN, MORT-30-COPD, 
and the MORT-30-CABG, into the Hospital Inpatient Quality Reporting 
Program from the FY 2028 payment determination through the FY 2031 
payment determination, and subsequently remove these measures from the 
Hospital Inpatient Quality Reporting Program beginning with the FY 2032 
payment determination, as a step towards substantively modifying them 
in the Hospital Value-Based Purchasing Program. We also invite public 
comment on our proposal to modify these five mortality measures in the 
Hospital Value-Based Purchasing Program beginning with the FY 2032 
program year, contingent on our adoption of these changes in the 
Hospital Inpatient Quality Reporting Program.
f. Technical Updates
    We are also notifying the public of technical updates to the risk 
adjustment methodology for the five modified mortality measures' 
proposed for adoption in the Hospital Inpatient Quality Reporting 
Program, beginning with the FY 2028 payment determination, and for 
modification in the Hospital Value-Based Purchasing Program, beginning 
with the FY 2032 program year, to use individual International 
Classification of Diseases (ICD-10) codes instead of hierarchical 
condition categories (HCC) to improve the measure's risk adjustment 
methodology. The risk adjustment strategy currently in use involves 
grouping ICD-10 diagnosis codes from CMS's HCC system into clinically 
relevant categories (76 FR 26495 through 26511, 80 FR 49557 through 
49558, and 81 FR 56994 through 56996). We then evaluate the HCCs for 
statistical association with the measures' outcomes. To better leverage 
the data and analytical advances since the measure was initially 
developed, we created a new approach to use individual ICD-10 codes for 
risk adjustment. Research has indicated that using individual ICD-10 
codes in place of HCCs could significantly improve the model 
performance of the mortality measures. With this new approach, the 
ability of the risk adjustment model to account for condition-specific 
or procedure-specific severity was significantly better. See Table 
IX.B.9. for a summary of improvements to the risk adjustment models' 
performance for the five modified mortality measures.\200\
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    \200\ Partnership for Quality Measurement. (March 2024). 2024 
Condition- and Procedure-Specific Mortality/Complication Measures 
Supplemental Methodology Report. Available at: https://p4qm.org/prmr-measures/muc2025-036.
[GRAPHIC] [TIFF OMITTED] TP14AP26.162

3. Measuring Emergency Care Access and Timeliness in the Hospital 
Inpatient Quality Reporting and Hospital Value-Based Purchasing 
Programs--Request for Information
a. Background
    Occupancy and boarding rates in EDs continue to worsen and exceed 
pre-pandemic levels. ED boarding, defined as holding a patient in the 
ED after the patient is admitted or placed into observation status at a 
hospital, is an outcome of misaligned incentives to deploy care 
delivery resources in a particular way,\201\ often resulting in 
shortages of inpatient beds and staff. ED boarding contributes to ED 
crowding, leading to safety risks for patients and stressful working 
conditions for healthcare personnel.202 203 204 A recent 
report from the Agency for Healthcare Research and Quality (AHRQ) 
characterized patient ED boarding as a growing public health crisis and 
engaged interested parties to address the

[[Page 19575]]

strain on the United States healthcare system.\205\
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    \201\ Michael, S.S., Bruna, S., Sessums, L.L. (2025). Building a 
public-private partnership to confront the emergency department 
boarding crisis, Health Affairs Scholar, 3(4). Available at: https://doi.org/10.1093/haschl/qxaf014.
    \202\ Morley, C., Unwin, M., Peterson, G.M., Stankovich, J., 
Kinsman, L. (2018). Emergency department crowding: A systematic 
review of causes, consequences and solutions. PLoS One, 
13(8):e0203316. Available at: https://doi.org/10.1371/journal.pone.0203316.
    \203\ Moore, C. & Heckmann, R. (2025). Hospital Boarding In The 
ED: Federal, State, And Other Approaches. Health Affairs Forefront. 
Available at: https://www.healthaffairs.org/content/forefront/hospital-boarding-ed-federal-state-and-other-approaches.
    \204\ Rizk, D. (2025). Systemic solutions to emergency 
department boarding: The hospitalist's perspective. Health Affairs 
Scholar, 3(9). Available at: https://academic.oup.com/healthaffairsscholar/article/3/9/qxaf168/8241101.
    \205\ Agency for Healthcare Research and Quality. (2025). 
Technical Report: AHRQ Summit To Address Emergency Department 
Boarding. Available at: https://www.ahrq.gov/sites/default/files/wysiwyg/topics/ed-boarding-summit-report.pdf.
---------------------------------------------------------------------------

    Recent studies indicate that delays in the timeliness of ED care 
are associated with patient harm.206 207 Long ED wait times 
are also one of the most cited reasons for patients leaving an ED 
without being evaluated by a clinician.\208\ Increased ED LOS is also a 
strong predictor of poor timeliness of care and is significantly 
impacted by ED boarding. One study of several EDs within a single 
health system found that for every patient boarded, the median ED LOS 
for all admitted patients increased by at least 12 minutes.\209\ Other 
evidence indicates that prolonged boarding is concentrated among older 
adults and is associated with downstream impacts that extend beyond the 
ED encounter.\210\ Furthermore, ED boarding and crowding have been 
associated with poor patient outcomes, such as increased 
mortality,\211\ delays in needed care,\212\ and negative patient and 
staff experiences.213 214 215 For instance, evidence shows 
that ED crowding can harm patients with sepsis by delaying 
administration of lifesaving intravenous (IV) fluids and 
antibiotics.\216\ Additionally, there may be additional operational and 
financial burdens associated with ED boarding, underscoring its 
relevance to inpatient capacity management and hospital 
performance.\217\
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    \206\ Gaieski, D.F., Agarwal, A.K., Mikkelsen, M.E., Drumheller, 
B., Cham Sante, S., Shofer, F.S., Goyal, M., & Pines, J.M. (2017). 
The impact of ED crowding on early interventions and mortality in 
patients with severe sepsis. The American Journal of Emergency 
Medicine, 35(7), 953-960. Available at: https://doi.org/10.1016/j.ajem.2017.01.061.
    \207\ Laam L.A., Wary A.A., Strony R.S., Fitzpatrick M.H., & 
Kraus C.K. (2021). Quantifying the impact of patient boarding on 
emergency department length of stay: All admitted patients are 
negatively affected by boarding. Journal of American College 
Emergency Physicians, 2(2):e12401. Available at: https://doi.org/10.1002/emp2.12401.
    \208\ Janke, A.T., Melnick, E.R., & Venkatesh, A.K. (2022). 
Monthly Rates of Patients Who Left Before Accessing Care in US 
Emergency Departments, 2017-2021. JAMA, 5(9), e2233708. Available 
at: https://doi.org/10.1001/jamanetworkopen.2022.33708.
    \209\ Laam L.A., Wary A.A., Strony R.S., Fitzpatrick M.H., & 
Kraus C.K. (2021). Quantifying the impact of patient boarding on 
emergency department length of stay: All admitted patients are 
negatively affected by boarding. Journal of American College 
Emergency Physicians, 2(2):e12401. Available at: https://doi.org/10.1002/emp2.12401.
    \210\ Sifnugel, N., et al. (2025). An analysis of boarding 
trends in older adults in the United States. Health Affairs Scholar, 
3(10). Available at: https://doi.org/10.1093/haschl/qxaf187.
    \211\ Hsuan, C., Segel, J.E., Hsia, R.Y., Wang, Y., & Rogowski, 
J. (2023). Association of emergency department crowding with 
inpatient outcomes. Health Services Research, 58(4), 828-843. 
Available at: https://doi.org/10.1111/1475-6773.14076.
    \212\ Gaieski, D.F., Agarwal, A.K., Mikkelsen, M.E., Drumheller, 
B., Cham Sante, S., Shofer, F.S., Goyal, M., & Pines, J.M. (2017). 
The impact of ED crowding on early interventions and mortality in 
patients with severe sepsis. The American Journal of Emergency 
Medicine, 35(7), 953-960. Available at: https://doi.org/10.1016/j.ajem.2017.01.061.
    \213\ Reznek, M.A., Larkin, C.M., Scheulen, J.J., Harbertson, 
C.A., & Michael, S.S. (2021). Operational factors associated with 
emergency department patient satisfaction: Analysis of the Academy 
of Administrators of Emergency Medicine/Association of Academic 
Chairs of Emergency Medicine national survey. Academic Emergency 
Medicine: Official Journal of the Society for Academic Emergency 
Medicine, 28(7), 753-760. Available at: https://doi.org/10.1111/acem.14278.
    \214\ Loke, D.E., Green, K.A., Wessling, E.G., Stulpin, E.T., & 
Fant, A.L. (2023). Clinicians' Insights on Emergency Department 
Boarding: An Explanatory Mixed Methods Study Evaluating Patient Care 
and Clinician Well-Being. Joint Commission Journal on Quality and 
Patient Safety, 49(12), 663-670. Available at: https://doi.org/10.1016/j.jcjq.2023.06.017.
    \215\ Norton, V., Schreyer, K.E., Kuhn, D. (2025). Workforce 
impact of emergency department boarding, Health Affairs Scholar, 
3(8). Available at: https://doi.org/10.1093/haschl/qxaf134.
    \216\ Gaieski, D.F., Agarwal, A.K., Mikkelsen, M.E., Drumheller, 
B., Cham Sante, S., Shofer, F.S., Goyal, M., & Pines, J.M. (2017). 
The impact of ED crowding on early interventions and mortality in 
patients with severe sepsis. The American Journal of Emergency 
Medicine, 35(7), 953-960. Available at: https://doi.org/10.1016/j.ajem.2017.01.061.
    \217\ Canellas, M.M., et al. (2024). Measurement of cost of 
boarding in the emergency department. Annals of Emergency Medicine. 
Available at: https://doi.org/10.1016/j.annemergmed.2024.04.012.
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    Studies have documented a significantly higher likelihood of 
boarding when hospital occupancy rates exceed 85 
percent.218 219 These dynamics became more pronounced during 
the COVID-19 public health emergency, when national hospital occupancy 
increased by 11 percentage points, while staffed hospital beds declined 
by roughly 16 percent.\220\ Data such as these have supported the 
argument made by a number of emergency medicine clinicians and 
researchers that ED efficiency and patient throughput are closely tied 
to a broad collection of hospital-wide operational processes beyond 
those just occurring in the ED, including but not limited to inpatient 
bed management, staffing and procedure scheduling, discharge planning 
and post-acute care access, and diagnostic and consult turnaround.\221\
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    \218\ Kelen, G. D., Wolfe, R., D'Onofrio, G., Mills, A. M., 
Diercks, D., Stern, S. A., . . . & Sokolove, P. E. (2021). Emergency 
department crowding: the canary in the health care system. NEJM 
Catalyst Innovations in Care Delivery, 2(5). Available at: https://catalyst.nejm.org/doi/abs/10.1056/CAT.21.0217.
    \219\ Janke, A. T., Melnick, E. R., & Venkatesh, A. K. (2022). 
Hospital occupancy and emergency department boarding during the 
COVID-19 pandemic. JAMA Network Open, 5(9), e2233964-e2233964. 
Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC9526134/.
    \220\ Leuchter, R.K., Delarmente, B.A., Vangala, S., Tsugawa, 
Y., Sarkisian, C.A. (2025). Health care staffing shortages and 
potential national hospital bed shortage. JAMA Netw Open, 
8(2):e2460645. Available at: https://doi.org/10.1001/jamanetworkopen.2024.60645.
    \221\ Rizk, D. (2025). Systemic solutions to emergency 
department boarding: The hospitalist's perspective. Health Affairs 
Scholar, 3(9). Available at: https://academic.oup.com/healthaffairsscholar/article/3/9/qxaf168/8241101.
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    In line with this perspective, evidence suggests that hospitals 
which perform better on metrics related to ED boarding are more likely 
to adopt cross-departmental initiatives (for example, ED, radiology, 
laboratory services, hospitalist, surgery, housekeeping, nursing) to 
alleviate crowding.\222\ Hence, hospital administrators, individual 
departments, and associated staff can collectively participate in a 
variety of processes and interventions that can contribute to lower 
levels of boarding in the ED. Actions that make discharges earlier, 
more predictable, and daily (for example, identifying ``next-day 
discharges'' during afternoon rounds, using expected date of discharge 
documented on admission when possible, performing early morning 
discharge rounds, enabling weekend and holiday discharges, pre-
completing discharge paperwork and medication reconciliation) can free 
beds in preparation of future peaks in ED 
utilization.223 224 ``Smoothing'' the surgical schedule to 
ensure a steady, predictable demand for inpatient beds throughout the 
week can eliminate artificial peaks and valleys in bed demand that 
could otherwise contribute to boarding.\225\ Employing real-time 
monitoring and other predictive capabilities within health information 
technology systems can also identify new efficiencies in triaging and 
staffing that can result in better rates of bed

[[Page 19576]]

turnover.226 227 Other examples of interventions that have 
been considered to address this issue include care transitions, point-
of-care testing, observation units, streaming, short-stay units, 
strengthening triage and ED teams, creating new care zones, use of 
capacity protocols, and other administrative or organizational 
improvements.228 229 230 231
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    \222\ Chang, A. M., Cohen, D. J., Lin, A., Augustine, J., 
Handel, D. A., Howell, E., . . . & Sun, B. C. (2018). Hospital 
strategies for reducing emergency department crowding: a mixed-
methods study. Annals of emergency medicine, 71(4), 497-505. 
Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC5828915/.
    \223\ Bechir, G., & Bechir, A. (2025). Start With the End: Early 
Hospital Discharge Planning as a Day-One Priority. Cureus, 17(6). 
Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC12308768/.
    \224\ The Hospitalist. ``Tips for Improving Early Discharge 
Rates.'' Published May 29, 2016. Available at: https://www.the-hospitalist.org/hospitalist/article/121668/patient-safety/tips-improving-early-discharge-rates/.
    \225\ Rathlev, N. K., Chessare, J., & Litvak, E. (2018). 
Redesigning the surgical schedule to enhance productivity in the 
operating room. J Emerg Med Trauma Surg Care, 5, 023. Available at: 
https://www.heraldopenaccess.us/openaccess/redesigning-the-surgical-schedule-to-enhance-productivity-in-the-operating-room.
    \226\ Sinsical, A. (2025). 171 Streamlining Inpatient Discharge 
Processes to Reduce Emergency Department Boarding. Annals of 
Emergency Medicine, 86(3), S73-S74. Available at: https://www.annemergmed.com/article/S0196-0644(25)00566-9/fulltext.
    \227\ Boland, R. (2025). ``4 strategies to reduce ED 
overcrowding.'' Healthcare Financial Management Association. 
Available at: https://www.hfma.org/operations-management/4-strategies-to-reduce-ed-overcrowding/.
    \228\ Austin, E.E., Blakely, B., Tufanaru, C. et al. (2020). 
Strategies to measure and improve emergency department performance: 
a scoping review. Scand J Trauma Resusc Emerg Med, 28, 55. Available 
at: https://doi.org/10.1186/s13049-020-00749-2.
    \229\ De Freitas, L., Goodacre, S., O'Hara, R., Thokala, P., 
Hariharan, S. (2018). Interventions to improve patient flow in 
emergency departments: an umbrella review. Emerg Med J, 35(10):626-
637. Available at: https://doi.org/10.1136/emermed-2017-207263.
    \230\ Burns TA, Kaufman B, Stone RM. (2022). An EMS Transport 
Destination Officer is Associated with Reductions in Simultaneous 
Emergency Department Arrivals. Prehosp Emerg Care. Available at: 
https://doi.org/10.1080/10903127.2022.2107126.
    \231\ Bittencourt, R.J., Stevanato, A.M., Bragan[ccedil]a, 
C,T,N,M., Gottems, L.B.D., O'Dwyer, G. (2020). Interventions in 
overcrowding of emergency departments: an overview of systematic 
reviews. Rev Saude Publica. 54:66. Available at: http://doi.org/10.11606/s1518-8787.2020054002342.
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    Notably, the breadth and variation in these strategies makes it 
clear that no single intervention will solve the ED boarding crisis, 
particularly when considering the effectiveness of these actions is 
likely to vary across patient populations, health status and 
comorbidities, and case-mix. As such, it is important for throughput 
and patient flow to be viewed as a shared responsibility within the 
healthcare delivery system. To that end, quality measures should 
reflect and promote a culture of accountability.
b. Overview of Measure
    The Emergency Care Access & Timeliness eCQM is currently specified 
for the hospital setting and calculates the proportion of four outcome 
metrics that quantify access to and timeliness of care in a hospital ED 
setting against specified thresholds, including: (1) patient wait 
time--1 hour; (2) whether the patient left the ED without being 
evaluated; (3) patient boarding time in the ED (as defined by a 
Decision to Admit (order) to ED departure for admitted patients)--4 
hours; and (4) patient ED LOS (time from ED arrival to ED physical 
departure, as defined by the ED departure timestamp)--8 hours. Measure 
testing for the Emergency Care Access & Timeliness eCQM was conducted 
by the measure developer across 32 hospital-based EDs, representing a 
diverse mix of geographic regions, rurality, hospital size, teaching 
status, trauma level, and EHR vendors, demonstrating that the measure 
is reliable, valid, and feasible for all required data elements.\232\ 
Measure testing results showed a wide range in overall scores, and 
across all strata, indicating variation in performance and implying 
room for quality improvement.\233\
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    \232\ Partnership for Quality Measurement. Emergency Care 
Capacity and Quality. Available at: https://www.p4qm.org/measures/4625e.
    \233\ Partnership for Quality Measurement. Emergency Care 
Capacity and Quality. Available at: https://www.p4qm.org/measures/4625e.
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(1) Numerator
    The measure numerator includes any ED encounter in the denominator 
where the patient experiences any one of the following: (1) the patient 
waited longer than 1 hour after arrival to the ED to be placed in a 
treatment room or dedicated treatment area that allows for audiovisual 
privacy during history-taking and physical examination; (2) the patient 
left the ED without being evaluated; (3) the patient boarded in the ED 
for longer than 4 hours; and (4) the patient had an ED LOS of longer 
than 8 hours.\234\ An encounter is considered part of the numerator if 
it includes any one of the four numerator events, with events not being 
mutually exclusive and each contributing only once to the numerator. ED 
encounters with ED observation stays \235\ are excluded from components 
(3) and (4) but are included in the denominator. Patients who have a 
``decision to admit'' after an ED observation stay remain excluded from 
criteria (3) calculations.\236\
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    \234\ For proposed measure specifications, we refer readers to 
the eCQI Resource Center at https://ecqi.healthit.gov/ecqm/hosp-outpt/2027/cms1244v1, or the CMS QualityNet Hospital Outpatient 
Quality Reporting Program website at: https://qualitynet.cms.gov/outpatient.
    \235\ ED observations stays are defined as an observation 
encounter where the patient remains physically in an area under 
control of the ED and under the care of an ED clinician inclusive of 
observation in a hospital bed. Partnership for Quality Measurement. 
Emergency Care Capacity and Quality. Available at: https://p4qm.org/measures/4625e.
    \236\ Specific codes required to calculate the numerator are 
outlined in the value set data dictionary and eCQM package (Quality 
Data Model--QDM output). Please refer to the ``Measure Calculation'' 
Section for information at: https://p4qm.org/measures/4625e.
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    These four outcomes were selected based on published literature 
demonstrating that each numerator component is associated with patient 
harm, as well as input from clinical experts including ED experts and 
statistical and methodological experts and a TEP that was convened by 
the measure developer.\237\ A Patient and Family Engagement Work Group 
provided feedback on experiences with emergency care, noting long wait 
times to be seen by a provider, long wait times to be transferred, and 
gaps in the discharge processes.
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    \237\ Partnership for Quality Measurement. Emergency Care 
Capacity and Quality. Available at: https://p4qm.org/measures/4625e.
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    The numerator thresholds were developed according to evidence and 
consensus-based clinical guidelines for ED time thresholds, including 
guidelines developed by The Joint Commission (TJC), the American 
College of Emergency Physicians (ACEP), and the Emergency Department 
Benchmarking Alliance as well as input from a TEP, literature reviews, 
and environmental scans. For example, the 4-hour threshold for 
numerator component (3), boarding time, was developed according to 
recommendations from TJC and ACEP.238 239 This threshold 
reflects delays that are influenced by inpatient bed availability, 
hospital capacity, and admission processes.
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    \238\ The Joint Commission. (2012). Approved: Standards 
revisions addressing patient flow through the emergency department. 
Joint Commission perspectives. Joint Commission on Accreditation of 
Healthcare Organizations, 32(7), 1-5.
    \239\ American College of Emergency Physicians. (2024). 
Emergency Department Boarding and Crowding. Available at: https://www.acep.org/administration/crowding-boarding.
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(2) Denominator
    The measure denominator includes all ED encounters associated with 
patients of all ages, for all-payers, during a 12-month period of 
performance. Patients can have multiple encounters during a period of 
performance, and each encounter is eligible to contribute to the 
calculation of the measure.\240\
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    \240\ For proposed measure specifications, we refer readers to 
the eCQI Resource Center at https://ecqi.healthit.gov/ecqm/hosp-outpt/2027/cms1244v1, or the CMS QualityNet Hospital Outpatient 
Quality Reporting Program website at https://qualitynet.cms.gov/outpatient.
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(3) Measure Calculation
    The measure score is first calculated at the individual ED level as 
the proportion of ED encounters where any one of the four outcomes 
occurred. Raw measure scores are then standardized by ED case volume 
using z-scores. The z-score, or standard score, indicates how many 
standard deviations a data point

[[Page 19577]]

is from the mean of a normal distribution. It is calculated by 
subtracting the mean from a data point, then dividing the result by the 
standard deviation. For the Emergency Care Access & Timeliness eCQM, a 
volume-adjusted z-score shows how an ED's performance compares to the 
average for similar-volume EDs, addressing differences in patient 
population in hospital outpatient departments (HOPD) and ensuring fair 
``like to like'' comparisons between EDs of similar size. ED volume 
strata are defined in volume bands of 20,000 ED visits, and each ED is 
assigned to only one volume stratum. For CMS Certification Numbers 
(CCNs) with more than one ED, volume-adjusted z-scores are then 
combined as a weighted average for that CCN.\241\
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    \241\ For proposed measure specifications, we refer readers to 
the CMS QualityNet Hospital Outpatient Quality Reporting Program 
website at https://qualitynet.cms.gov/outpatient.
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    The results of the Emergency Care Access & Timeliness eCQM are 
stratified into four groups, two by age (18 years and older, and under 
18 years) and two by mental health diagnoses (with, and without).\242\ 
Testing results during the measure development process indicates that 
the stratification of results by age and mental health diagnosis, as 
well as standardization of measure performance scores by volume, was 
sufficient to account for differences between HOPDs; however, we are 
seeking feedback on whether additional stratification or risk 
adjustment would be appropriate if the measure were considered for 
inclusion in the Hospital Inpatient Quality Reporting and Value-Based 
Purchasing Programs.
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    \242\ The principal diagnosis (first listed diagnosis at ED 
discharge) will be used to define strata inclusion. For this 
measure's purpose, mental health diagnoses do not include substance 
use disorder diagnoses. Mental health refers to mental health 
diagnoses, life stressors and crises, and stress-related physical 
symptoms.
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    We refer readers to the CY 2026 OPPS/ASC final rule, where the 
Emergency Care Access & Timeliness eCQM was adopted into the Hospital 
Outpatient Quality Reporting \243\ and Rural Emergency Hospital (REH) 
Quality Reporting \244\ Programs (90 FR 53925 through 53934; 90 FR 
53945 through 53951). Further information and resources are available 
at the CMS QualityNet Hospital Outpatient Quality Reporting Program 
website at https://qualitynet.cms.gov/outpatient, which also takes 
readers to the electronic specifications available at the eCQI Resource 
Center: https://ecqi.healthit.gov/ecqm/hosp-outpt/2027/cms1244v1.
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    \243\ Available at: https://www.federalregister.gov/d/2025-20907/p-3744.
    \244\ Available at: https://www.federalregister.gov/d/2025-20907/p-3956. Notably, the specifications for several components in 
the REH Quality Reporting Program measure differ slightly from the 
Outpatient Quality Reporting specifications to reflect the fact that 
REHs do not have inpatient beds. The version of the measure being 
considered for inpatient reporting matches the Hospital Outpatient 
Quality Reporting specifications.
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c. Request for Comment on Potential Future Use in the Hospital 
Inpatient Quality Reporting and the Hospital Value-Based Purchasing 
Programs
    We are considering how to best measure care access and timeliness 
among hospitals participating in its quality reporting and value-based 
purchasing programs. We recognize that this issue is not specific to 
one particular setting (that is, inpatient or outpatient), and that a 
higher-level approach may instead be needed. However, as currently 
designed, CMS's quality reporting programs are divided to separately 
monitor inpatient and outpatient settings. If proposed for future 
rulemaking, we could consider adopting the existing outpatient measure 
into the Hospital Inpatient Quality Reporting Program as currently 
specified, or we could make adjustments to tailor it more specifically 
for inpatient use. Such enhancements could include modifying specific 
numerator components or the overall denominator to be more applicable 
for the inpatient setting. However, this more targeted approach to 
inpatient quality measurement may be at odds with aligning access and 
timeliness at a systems-level as noted above.
    We invite public comment on the potential use of the Emergency Care 
Access & Timeliness eCQM into the Hospital Inpatient Quality Reporting 
and Value-Based Purchasing Programs, in addition to the following 
questions:
     What are some of the key barriers and challenges faced by 
inpatient providers in supporting process changes that improve bed 
availability and reduce ED boarding?
     What are the best practices for providers within inpatient 
departments to actively engage with colleagues in other departments, as 
well as other settings that impact bed availability (for example, post-
acute care facilities)? What barriers do providers face, especially 
rural providers, in establishing protocols for bi-directional 
communication?
     Are there any elements of this measure that are not 
applicable (for example, numerator components, denominator, exclusions, 
etc.) to inpatient care, or for which an inpatient hospital should not 
be held accountable, which would warrant removal or modification if the 
measure is proposed in the Hospital Inpatient Quality Reporting 
Program?
    ++ For example, numerator components (1), (2), and (4) of the 
measure can occur for care provided entirely outside of an inpatient 
setting. This may lead to concerns that hospital inpatient processes 
are being evaluated based on the care and outcomes of patients who are 
not admitted during their stay.
    ++ On the other hand, as discussed above, ED boarding resulting 
from processes within the inpatient department impacts the throughput 
of all ED patients, which is reflected in numerator components (1), (2) 
and (4). Therefore, there are concerns that limiting the inpatient 
Emergency Care Access & Timeliness eCQM to those admitted or boarded 
may be insufficient to truly address access and timeliness issues.
     Given the overlap in patient cohort with the measure 
recently adopted for the Hospital Outpatient Quality Reporting Program, 
do stakeholders have concerns related to duplication of encounters in 
quality measures? Given the shared responsibility across units within 
the hospital, is it beneficial for the cohort (or a subset of the 
cohort) to be tracked across similar measures in both programs?
    ++ For example, we could consider developing separate measures for 
each program, where a version for use in inpatient quality reporting 
tracks access and timeliness amongst patients that were admitted during 
their stay, while an outpatient quality reporting measures version 
tracks those not admitted.
     Should CMS consider including this measure in the Hospital 
Value-Based Purchasing Program? If so, would it be beneficial to keep 
the current measure specifications as is, particularly as these 
programs may be better suited to capture broader, system-wide 
processes?
     Are there any potential unintended consequences CMS should 
be aware of related to introducing this measure into the Hospital 
Inpatient Quality Reporting and Value-Based Purchasing Programs?
     Are there other measure development/re-specification ideas 
or opportunities CMS should consider for how inpatient departments can 
address ED boarding and better measure patient outcomes, such as harm 
from delays to inpatient care?

[[Page 19578]]

4. Potential Future Use of the Adult Community-Onset Sepsis 
Standardized Mortality Ratio Measure in the Hospital Inpatient Quality 
Reporting Program--Request for Information
a. Background
    Sepsis, or septicemia, is a life-threatening condition that results 
from the body's dysregulated response to infection and is a leading 
cause of mortality, hospitalization, and readmission in the United 
States.\245\ It is the most frequent principal diagnosis among non-
maternal, non-neonatal inpatients, with over 2.2 million 
hospitalizations reported in 2018.\246\ Of the 1.7 million adults 
diagnosed with sepsis annually, approximately 20 percent 
die.247 248 249 250
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    \245\ An Assessment of Sepsis in the United States and its 
Burden on Hospital Care. Rockville, MD: Agency for Healthcare 
Research and Quality; 2024. AHRQ Pub No. 24-0087. Available at: 
https://hcup-us.ahrq.gov/reports/SepsisUSBurdenHospitalCare.pdf.
    \246\ McDermott KW, Roemer M. (2021). Most Frequent Principal 
Diagnoses for Inpatient Stays in U.S. Hospitals, 2018. Healthcare 
Cost and Utilization Project (HCUP) Statistical Brief #277. 
Available at: https://pubmed.ncbi.nlm.nih.gov/34428003/.
    \247\ Centers for Disease Control and Prevention. About Sepsis. 
August 2025. Available at: https://www.cdc.gov/sepsis/about/index.html.
    \248\ U.S Department of Health and Human Services. Agency for 
Healthcare Research and Quality. Report to Congress: An Assessment 
of Sepsis in the United States and its Burden on Hospital Care. 
2024. Available at: https://www.ahrq.gov/sites/default/files/publications2/files/sepsis-report-to-congress_0.pdf.
    \249\ Page B, Klompas M, Chan C, Filbin MR, Dutta S, McEvoy DS, 
Clark R, Leibowitz M, Rhee C. (2021). Surveillance for healthcare-
associated infections: hospital-onset adult sepsis events versus 
current reportable conditions. Clin Infect Dis, 73(6):1013-1019. 
Available at: https://doi.org/10.1093/cid/ciab217.
    \250\ Rhee C, Dantes R, Epstein L, Murphy DJ, Seymour CW, 
Iwashyna TJ, Kadri SS, Angus DC, Danner RL, Fiore AE, Jernigan JA, 
Martin GS, Septimus E, Warren DK, Karcz A, Chan C, Menchaca JT, Wang 
R, Gruber S, Klompas M; CDC Prevention Epicenter Program. (2017). 
Incidence and Trends of Sepsis in US Hospitals Using Clinical vs 
Claims Data, 2009-2014. JAMA, 318(13):1241-1249. Available at: 
https://doi.org/10.1001/jama.2017.13836.
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    Accurate tracking of sepsis incidence and outcomes can be 
challenging due to the lack of a definitive diagnostic test and wide 
variation in diagnosis and coding practices.\251\ There are limitations 
to using claims data only, for example reporting delays and incomplete 
data for non-Medicare/Medicaid patients. Increased screening and coding 
for sepsis have led to more cases being identified, often inflating 
case counts and lowering reported mortality rates.\252\ A measure 
assessing the community-onset sepsis standardized mortality ratio is 
essential for producing timely, consistent, and clinically meaningful 
comparisons across hospitals.\253\
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    \251\ Rhee C, Kadri SS, Danner RL, Suffredini AF, Massaro AF, 
Kitch BT, Lee G, Klompas M. (2016). Diagnosing sepsis is subjective 
and highly variable: a survey of intensivists using case vignettes. 
Crit Care, 20,89. Available at: https://doi.org/10.1186/s13054-016-1266-9.
    \252\ Epstein L, Dantes R, Magill S, Fiore A. Varying estimates 
of sepsis mortality using death certificates and administrative 
codes--United States, 1999-2014. MMWR Morb Mortal Wkly Rep, 65(12), 
342-345. Available at: https://doi.org/10.15585/mmwr.mm6513a2.
    \253\ Prescott HC, Heath M, Jayaprakash N, Dantes RB, Rhee C, 
Posa PJ, Flanders SA. (2025). Concordance of 30-Day Mortality and 
In-Hospital Mortality or Hospice Discharge After Sepsis. JAMA, 
333(19), 1724-1726. Available at: https://doi.org/10.1001/jama.2025.2526.
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    For the past several years, we have been working together with the 
CDC's National Healthcare Safety Network (NHSN) team to advance CMS's 
digital strategy through the use of digital quality measures 
(dQMs).\254\ Through this collaboration, we have been exploring 
leveraging CDC's NHSNLink application programming interface (API) that 
would allow hospitals to exchange data and report digital quality 
measures to NHSN in a hands-free, fully automated manner, using the 
Fast Healthcare Interoperability Resources[supreg] (FHIR[supreg]) \255\ 
standard for exchanging healthcare information electronically between 
information systems.\256\ FHIR is a foundational, standards-based 
specification developed for secure and scalable electronic health 
information exchange. Using FHIR, data are represented based on 
nationally recognized standards across EHR vendors, facilities, and 
agencies. Through CDC's NHSNLink API, EHR data can be pulled from a 
facility, making real-time patient level, risk-adjusted surveillance 
feasible, while at the same time, it can also provide the data needed 
to calculate hospital quality measures for CMS quality programs, thus 
significantly reducing reporting burden for facilities. This enables 
different systems, such as EHRs and applications, to exchange 
information in a consistent, structured, and reusable format. CMS has 
already integrated the FHIR standard, and signaled the use of FHIR, in 
some of our interoperability requirements in our quality reporting 
modernization. CDC has implementation guides that describe the CDC 
NHSN's approach to digital data and the technical specifications for 
reporting to NHSN. We refer readers to these resources for additional 
detail on the electronic reporting of NHSN digital quality measures: 
https://hl7.org/fhir/us/nhsn-dqm/ and https://www.cdc.gov/nhsn/fhirportal/dqm/ig/. CDC is currently partnering with 19 hospitals and 
health systems across the United States who are working to pilot, 
implement, and validate NHSN dQMs. This network of hospitals will be 
the foundation for advancing new healthcare data exchange approaches 
like FHIR[supreg] and will provide valuable insights and lessons 
learned for implementing FHIR-based dQMs that can be shared with all 
United States hospitals as they build their FHIR capabilities.
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    \254\ Centers for Disease Control and Prevention. NHSN Digital 
Quality Measures (dQMs). Available at: https://www.cdc.gov/nhsn/fhirportal/.
    \255\ FHIR[supreg] is the registered trademark of Health Level 
Seven International (HL7), and its use does not constitute 
endorsement by HL7.
    \256\ Centers for Disease Control and Prevention. NHSN Digital 
Quality Measures (dQMs). Available at: https://www.cdc.gov/nhsn/fhirportal/.
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    CMS and CDC are collaborating on the development of several FHIR-
based dQMs which may be adopted into CMS hospital quality programs in 
the coming years. Of these, we have identified the Adult Community-
Onset Sepsis Standardized Mortality Ratio measure as a high priority 
due to high Sepsis mortality and morbidity. This measure was reviewed 
in the 2025 Pre-Rulemaking Measure Review process and is currently 
being tested as a pilot with NHSN partner hospitals (more information 
available at: https://www.cdc.gov/nhsn/nhsncolab/index.html).\257\ 
These partners are submitting EHR FHIR data to NHSN as well as data 
from claims.
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    \257\ Partnership for Quality Measurement. (February 2026). 
2025-2026 Pre-Rulemaking Measure Review Recommendation Group Final 
Meeting Summary: Hospital Committee. Available at: https://p4qm.org/sites/default/files/2026-02/PRMR-Hospital-Recommendation-Group-Meeting-Final-Summary-508.pdf.
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b. Overview of Measure
    The Adult Community-Onset Sepsis Standardized Mortality Ratio 
measure provides hospitals with a nationally benchmarked metric of 
community-onset sepsis mortality outcomes, which can be used to measure 
their progress on improving the care of patients with sepsis. The 
measure uses data from the EHR in combination with claims data to 
provide robust risk-adjustment. All data elements are in defined fields 
in electronic sources and align with United States Core Data for 
Interoperability (USCDI) \258\ and USCDI+ Quality \259\ standards.
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    \258\ Assistant Secretary for Technology Policy. United States 
Core Data for Interoperability (USCDI). Available at: https://www.healthit.gov/isp/united-states-core-data-interoperability-uscdi.
    \259\ Assistant Secretary for Technology Policy. USCDI+. 
Available at: https://www.healthit.gov/topic/interoperability/uscdi-plus.

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[[Page 19579]]

    Empiric validity of the measure was tested by comparing hospital-
level adult community-onset sepsis standardized mortality ratios (SMRs) 
to hospital-level process measures that are typically considered to 
reflect best practices for sepsis care in the first 3-6 hours (Severe 
Sepsis and Septic Shock Management Bundle [SEP-1]), Hospital 30-day, 
All-cause, Risk-Standardized Mortality Rate Following Pneumonia 
Hospitalization (pneumonia mortality), and the CMS Overall Hospital 
Star Rating. SMRs correlated with pneumonia mortality ([rho]=0.27, 
p<0.001) and quality star ratings ([rho]=-0.29, p=0.001). The results 
support the rationale for the Adult Community-Onset Sepsis Standardized 
Mortality Ratio measure that encourages hospitals to focus on the full 
breadth of sepsis care, from presentation through discharge, and foster 
innovation in identifying additional measures that meaningfully impact 
sepsis outcomes. The CDC calculated signal-to-noise reliability across 
433,065 persons from 265 hospitals and reported a median reliability of 
0.921.
(1) Measure Description
    The measure assesses the annual risk-adjusted standardized 
mortality ratio (SMR) of adult inpatients with community-onset sepsis 
who died during their hospitalization or were discharged to hospice. 
The SMR is reported annually and is calculated by dividing the number 
of observed community-onset sepsis deaths by the number of predicted 
community-onset sepsis deaths.
(2) Numerator
    The measure numerator is the number of annually observed adults 
with community-onset sepsis who died during hospitalization or were 
discharged to hospice. The following are excluded from the numerator:
     Patients <18 years of age
     Length of hospitalization >120 days
     Patients with prior enrollment in hospice
     Patients that transferred to another acute care hospital
(3) Denominator
    The measure denominator is the number of annually predicted adults 
with community-onset sepsis who died during hospitalization or were 
discharged to hospice.
(4) Measure Calculation
    Hospital-level Standardized Mortality Ratio = (observed adult 
community-onset sepsis in-hospital mortality & discharge to hospice)/
(predicted community-onset sepsis in-hospital mortality & discharge to 
hospice).
(5) Risk-Adjustment
    This measure utilizes a risk-adjustment model incorporating 
baseline patient characteristics (age, sex), comorbidities, and 
detailed clinical data (including vital signs, laboratory values, 
positive blood cultures and COVID-19 tests, body mass index, and 
infection source per ICD-10 codes).
    We refer readers to the NHSN digital Quality Measure Resource 
Center at https://www.cdc.gov/nhsn/fhirportal/dqm/ach-dQMs.html for 
more details on the measure specifications.
(6) Data Sources
    Data are from EHRs that would be submitted via the FHIR-based 
NHSNLink API and augmented by claims data (specifically, ICD-10 codes) 
for specific components of the sepsis definition, certain exclusions, 
and part of the risk adjustment. Hospitals' claims data could be 
submitted directly to NHSN by uploading .csv files or through a third 
party vendor on a hospital's behalf and would be similar in process to 
how facilities currently report claims data for the NHSN Surgical Site 
Infection measures.
c. Pre-Rulemaking Process and Measure Endorsement
(1) Recommendations From the Pre-Rulemaking Measure Review Process
    We refer readers to the Partnership for Quality Measurement for 
details on the Pre-Rulemaking Measure Review process convened by the 
CBE, including the voting procedures used to reach consensus on measure 
recommendations.28 29 The Pre Rulemaking Measure Review 
Hospital Committee, consisting of both the Pre-Rulemaking Measure 
Review Hospital Recommendation Group (hereafter referred to as the 
Recommendation Group) and Pre-Rulemaking Measure Review Hospital 
Advisory Group, met on January 12 and 13, 2026, to review measures 
included by the Secretary on the publicly available ``2025 Measures 
Under Consideration List,'' including the Adult Community-Onset Sepsis 
Standardized Mortality Ratio measure.\260\ Table IX.B.10. summarizes 
the voting results for this measure in the Hospital Inpatient Quality 
Reporting and Hospital Value-Based Purchasing Programs. The 
Recommendation Group reached consensus to recommend adoption of the 
Adult Community-Onset Sepsis Standardized Mortality Ratio measure in 
the Hospital Inpatient Quality Reporting Program but did not reach 
consensus on the use of the measure in the Hospital Value-Based 
Purchasing Program.\261\
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    \260\ Centers for Medicare & Medicaid Services. (December 2025). 
2025 Measures Under Consideration List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports/overview.
    \261\ Partnership for Quality Measurement. (February 2026). 
2025-2026 Pre-Rulemaking Measure Review Recommendation Group Final 
Meeting Summary. Available at: https://p4qm.org/sites/default/files/2026-02/PRMR-Hospital-Recommendation-Group-Meeting-Final-Summary-508.pdf.
[GRAPHIC] [TIFF OMITTED] TP14AP26.163


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(2) Measure Endorsement
    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69458 through 69459) for details on the measure endorsement and 
maintenance process, including the measure evaluation procedures the 
Endorsement and Maintenance Committees use to evaluate measures and 
whether they meet endorsement criteria. Adult Community-Onset Sepsis 
Standardized Mortality Ratio measure will be submitted in a future 
cycle for endorsement by the CBE. Section 1886(b)(3)(B)(IX)(bb) of the 
Act provides an exception that, in the case of a specified area or 
medical topic determined appropriate by the Secretary for which a 
feasible and practical measure has not been endorsed by the entity with 
a contract under section 1890(a) of the Act, the Secretary may specify 
a measure that is not so endorsed as long as due consideration is given 
to measures that have been endorsed or adopted by a consensus 
organization identified by the Secretary. We reviewed CBE-endorsed 
measures and were unable to identify any other CBE-endorsed measures 
that specifically measure sepsis mortality, therefore we believe the 
exception in Section 1886(b)(3)(B)(IX)(bb) of the Act applies.
d. Request for Comment on Potential Future Use in the Hospital 
Inpatient Quality Reporting Program
    We invite public input on the potential use of the Adult Community-
Onset Sepsis Standardized Mortality Ratio measure, in addition to the 
following questions:
    Operational Considerations:
     How feasible would it be for hospitals, especially those 
in rural areas, to implement and report on this measure using existing 
data and workflows? What data, workflow, or resource challenges do you 
anticipate? What is the single most important change you would 
recommend, if any?
     Do EHRs receive reconciled claims codes from payers or 
billing systems? Do EHR data reflect the claims-adjudicated codes or 
does it remain unchanged after claims are submitted? Are there any time 
lags or any other considerations for using the claims codes for sepsis 
surveillance and measure calculation as described above? If EHRs do 
receive reconciled claims from the billing systems, are they able to be 
represented in FHIR APIs?
     Do third-party vendors reconcile the claim codes? If so, 
how do these vendors receive data and submit data, what standards are 
used, and what is the frequency and cadence of data flow? Please 
consider third-party vendors such as quality measurement vendors, 
health information exchanges, aggregators, EHR intermediaries, etc. who 
may normalize or reconcile claims (ICD-10, CPT, HCPCS) with clinical or 
FHIR-based data for reporting purposes.
     What are anticipated challenges in mapping EHR data to the 
specified Sepsis measure FHIR profiles and value sets? Please focus on 
data elements that may be unstructured (for example, are in narrative 
form), may be represented in local codes, or exist outside of commonly 
used documents that map to FHIR profiles (for example, flowsheets and 
provider orders).We refer readers to the NHSN digital quality measure 
information available at: https://hl7.org/fhir/us/nhsn-dqm/ and https://www.cdc.gov/nhsn/fhirportal/dqm/ig/.
     Are there any additional anticipated challenges or burden 
related to: (1) making the required EHR data available in FHIR, (2) 
accessing and linking claims data needed for exclusions and risk 
adjustment, or (3) working with vendors or NHSN to implement the dQM 
specifications referenced above? Please provide details.
    Additional Policy Options:
     To what extent do you believe this measure allows for fair 
comparison across hospitals? What adjustments or stratifications, if 
any, would improve fairness?
     To what extent do you agree this measure meaningfully 
reflects quality/value of care such that CMS should consider including 
this measure in a pay-for-performance program, such as the Hospital 
Value-Based Purchasing Program?
     Are there any potential unintended effects of using this 
measure for payment adjustment (for example, risk variable selection, 
reduced access to care, documentation burden)? If yes or not sure, 
please describe.

C. Requirements for and Changes to the Hospital Inpatient Quality 
Reporting Program

1. Background and History of the Hospital Inpatient Quality Reporting 
Program
    The Hospital Inpatient Quality Reporting is a pay-for-reporting 
program intended to measure the quality of hospital inpatient services, 
improve the quality of care provided to Medicare beneficiaries, and 
facilitate public transparency. Section 1886(b)(3)(B)(viii) of the 
Social Security Act (the Act) states that subsection (d) hospitals 
participating in the Hospital Inpatient Quality Reporting Program that 
do not submit data required for measures selected with respect to such 
a year, in the form and manner required by the Secretary, will incur a 
2.0 percentage point reduction to their annual payment update for the 
applicable fiscal year. We refer readers to our previous final rules 
for detailed discussions of the history of the Hospital Inpatient 
Quality Reporting Program, including statutory history, and for the 
measures we have previously adopted for the Hospital Inpatient Quality 
Reporting Program measure set.\262\ We also refer readers to 42 Code of 
Federal Regulations (CFR) 412.140 for the Hospital Inpatient Quality 
Reporting Program regulations. We note that in the FY 2026 IPPS/LTCH 
PPS proposed rule, we discontinued the practice of retaining all 
subsections of the preamble every year where there are no proposed 
changes.
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    \262\ These rules are: the FY 2010 IPPS/LTCH PPS final rule (74 
FR 43860 through 43861); the FY 2011 IPPS/LTCH PPS final rule (75 FR 
50180 through 50181); the FY 2012 IPPS/LTCH PPS final rule (76 FR 
51605 through 61653); the FY 2013 IPPS/LTCH PPS final rule (77 FR 
53503 through 53555); the FY 2014 IPPS/LTCH PPS final rule (78 FR 
50775 through 50837); the FY 2015 IPPS/LTCH PPS final rule (79 FR 
50217 through 50249); the FY 2016 IPPS/LTCH PPS final rule (80 FR 
49660 through 49692); the FY 2017 IPPS/LTCH PPS final rule (81 FR 
57148 through 57150); the FY 2018 IPPS/LTCH PPS final rule (82 FR 
38326 through 38328 and 82 FR 38348); the FY 2019 IPPS/LTCH PPS 
final rule (83 FR 41538 through 41609); the FY 2020 IPPS/LTCH PPS 
final rule (84 FR 42448 through 42509); the FY 2021 IPPS/LTCH PPS 
final rule (85 FR 58926 through 58959); the FY 2022 IPPS/LTCH PPS 
final rule (86 FR 45360 through 45426); the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 49190 through 49310); the FY 2024 IPPS/LTCH PPS 
final rule (88 FR 59144 through 59203); the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69515 through 69577); and the FY 2026 IPPS/LTCH 
PPS final rule (90 FR 36996 through 37027).
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2. Considerations in Expanding and Updating Quality Measures
(a) Background
    We refer readers to the FY 2019 IPPS/LTCH PPS final rule (83 FR 
41147 through 41148), in which we describe the Meaningful Measures 
Framework. In 2021, we launched Meaningful Measures 2.0 to promote 
innovation and modernization of all aspects of quality, addressing a 
wide variety of settings, interested parties, and measure 
requirements.\263\
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    \263\ Centers for Medicare & Medicaid Services. (2025). 
Meaningful Measures 2.0: Moving from Measure Reduction to 
Modernization. Available at: https://www.cms.gov/medicare/quality/cms-national-quality-strategy/meaningful-measures-20-moving-measure-reduction-modernization.
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    There are statutory requirements that the Secretary of HHS make 
public certain quality and efficiency measures that the Secretary is 
considering for adoption through rulemaking under Medicare.\264\ To 
comply with those

[[Page 19581]]

requirements, the consensus-based entity (CBE), currently Battelle, 
convenes the Partnership for Quality Measurement, which is comprised of 
clinicians, patients, measure experts, and health information 
technology specialists, to participate in the pre-rulemaking process 
and the measure endorsement process. We refer readers to the 
Partnership for Quality Measurement website \265\ for a more detailed 
discussion on the updated Pre-rulemaking Measure Review process, as 
well as the endorsement and maintenance process.
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    \264\ See section 1890A(a)(2) of the Social Security Act (42 
U.S.C. 1395aaa-1(a)(2)).
    \265\ Battelle, Partnership for Quality website. Available at: 
https://p4qm.org.
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3. Proposed New Measures for the Hospital Inpatient Quality Reporting 
Program Measure Set
    We are proposing to adopt eight measures into the Hospital 
Inpatient Quality Reporting Program, three new measures, and five 
modified mortality measures as a step towards substantively modifying 
the mortality measures currently used in the Hospital Value-Based 
Purchasing Program: (1) Excess Days in Acute Care After Hospitalization 
for Diabetes measure beginning with the July 1, 2025 through June 30, 
2027 performance period, associated with the FY 2029 payment 
determination; (2) Advance Care Planning electronic clinical quality 
measure (eCQM) beginning with the CY 2028 reporting period/FY 2030 
payment determination; (3) Hospital Harm--Postoperative Venous 
Thromboembolism eCQM beginning with the CY 2028 reporting period/FY 
2030 payment determination; (4) Hospital 30-Day, All-Cause, Risk-
Standardized Mortality Rate Following Acute Myocardial Infarction 
Hospitalization measure beginning with the July 1, 2024 through June 
30, 2026 performance period, associated with the FY 2028 payment 
determination; (5) Hospital 30-Day, All-Cause, Risk-Standardized 
Mortality Rate Following Heart Failure Hospitalization measure 
beginning with the July 1, 2024 through June 30, 2026 performance 
period, associated with the FY 2028 payment determination; (6) Hospital 
30-Day, All-Cause, Risk-Standardized Mortality Rate Following Pneumonia 
Hospitalization measure beginning with the July 1, 2024 through June 
30, 2026 performance period, associated with the FY 2028 payment 
determination; (7) Hospital 30-Day, All-Cause, Risk-Standardized 
Mortality Rate Following Chronic Obstructive Pulmonary Disease 
Hospitalization measure beginning with the July 1, 2024 through June 
30, 2026 performance period, associated with the FY 2028 payment 
determination; and (8) Hospital 30-Day, All-Cause, Risk-Standardized 
Mortality Rate Following Coronary Artery Bypass Graft Surgery measure 
beginning with the July 1, 2024 through June 30, 2026 performance 
period, associated with the FY 2028 payment determination. We provide 
more details on the proposed Excess Days in Acute Care After 
Hospitalization for Diabetes and the Hospital Harm--Postoperative 
Venous Thromboembolism eCQM in the subsequent sections of the preamble. 
Details on the proposed Advance Care Planning eCQM measure are in 
section IX.B.1., and details on the proposed five mortality measures 
are in section IX.B.2.
a. Proposed Adoption of the Excess Days in Acute Care After 
Hospitalization for Diabetes Measure
(1) Background
    An estimated one in every three Americans 65 years or older has 
diabetes.\266\ The American Diabetes Association estimated that in 
2022, health care expenditures attributable to diabetes for individuals 
aged 65 years or older in the United States included $67.7 billion for 
hospital inpatient stays and $7.2 billion for emergency department (ED) 
visits.\267\ Diabetes is one of the most expensive conditions billed to 
Medicare,\268\ with wide variation in inpatient utilization among 
hospitals.\269\ For Medicare beneficiaries, diabetes with complications 
is a leading Medicare principal discharge diagnosis and among the top 
five principal diagnoses for 30-day all-cause hospital 
readmissions.270 271 Post-discharge ED visits and 
observation stays are also common and costly for patients with 
diabetes,\272\ often reflecting gaps in discharge coordination, patient 
education, medication management, and standardized post-discharge 
support.\273\
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    \266\ Centers for Disease Control and Prevention (CDC). (May 15, 
2024). National Diabetes Statistics Report. Available at: https://www.cdc.gov/diabetes/php/data-research/index.html.
    \267\ Parker, E.D., Lin, J., Mahoney, T., et al. (2024). 
Economic Costs of Diabetes in the U.S. in 2022. Diabetes care, 
47(1), 26-43. Available at: https://doi.org/10.2337/dci23-0085.
    \268\ Liang, L. (AHRQ), Moore, B. (IBM Watson Health), Soni, A. 
(AHRQ). (July 2020). National Inpatient Hospital Costs: The Most 
Expensive Conditions by Payer, 2017. HCUP Statistical Brief #261. 
Agency for Healthcare Research and Quality. Available at: www.hcup-us.ahrq.gov/reports/statbriefs/sb261-Most-Expensive-Hospital-Conditions-2017.pdf.
    \269\ Rubin, D.J., & Shah, A.A. (2021). Predicting and 
Preventing Acute Care Re-Utilization by Patients with Diabetes. 
Current Diabetes Reports, 21(9), 34. Available at: https://doi.org/10.1007/s11892-021-01402-7.
    \270\ Agency for Healthcare Research and Quality (AHRQ). 
Healthcare Cost and Utilization Project (HCUPnet). Available at: 
https://datatools.ahrq.gov/hcupnet/.
    \271\ Jiang, H.J., & Barrett M.L. (April 2024). Clinical 
Conditions With Frequent, Costly Hospital Readmissions by Payer, 
2020. Healthcare Cost and Utilization Project (HCUP) Statistical 
Brief #307. Agency for Healthcare Research and Quality. Available 
at: https://hcup-us.ahrq.gov/reports/statbriefs/SB307-508.pdf.
    \272\ Rubin, D.J., & Shah, A.A. (2021). Predicting and 
Preventing Acute Care Re-Utilization by Patients with Diabetes. 
Current Diabetes Reports, 21(9), 34. Available at: https://doi.org/10.1007/s11892-021-01402-7.
    \273\ Cai, J. & Islam, M.S. (2023). Interventions incorporating 
a multi-disciplinary team approach and a dedicated care team can 
help reduce preventable hospital readmissions of people with type 2 
diabetes mellitus: A scoping review of current literature. Diabetic 
Medicine 40(1), e14957. Available at: https://doi.org/10.1111/dme.14957.
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    Hospitals can improve diabetes care quality with evidence-based, 
guideline-driven interventions. The American Diabetes Association 
recommends multiple key strategies as part of structured discharge 
planning, including diabetes self-management education, medication 
reconciliation, and scheduling follow-up appointments before the 
patient is discharged.\274\ A review of interventions aimed at reducing 
readmissions for patients with type 2 diabetes concluded that diabetes 
management interventions that start at the index admission are highly 
effective.\275\ Common strategies associated with effective 
interventions include multidisciplinary input, dedicated care 
transition teams, certified diabetes educator appointments post-
discharge, and hospital-initiated discharge protocol development and 
implementation, among others.\276\ Other recommended interventions 
include the use of dedicated inpatient diabetes teams and multi-
component programs combining education, transition support, and 
outpatient follow-up.277 278 Hospitals

[[Page 19582]]

that practice these interventions help to reduce post-discharge acute 
care utilization and other diabetes-related costs.\279\
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    \274\ American Diabetes Association Professional Practice 
Committee. Recommendation 16.16 (structured discharge plan). Chapter 
16. Diabetes Care in the Hospital: Standards of Care in Diabetes--
2025. Diabetes Care 2025;48 (Suppl. 1):S321-S334. Available at: 
https://doi.org/10.2337/dc25-S016.
    \275\ Cai, J. & Islam, M.S. (2023). Interventions incorporating 
a multi-disciplinary team approach and a dedicated care team can 
help reduce preventable hospital readmissions of people with type 2 
diabetes mellitus: A scoping review of current literature. Diabetic 
Medicine 40(1), e14957. Available at https://doi.org/10.1111/dme.14957.
    \276\ Cai, J. & Islam, M.S. (2023). Interventions incorporating 
a multi-disciplinary team approach and a dedicated care team can 
help reduce preventable hospital readmissions of people with type 2 
diabetes mellitus: A scoping review of current literature. Diabetic 
Medicine 40(1), e14957. Available at: https://doi.org/10.1111/dme.14957.
    \277\ Demidowich, A.P., Batty, K., Love, T., et al. (2021). 
Effects of a Dedicated Inpatient Diabetes Management Service on 
Glycemic Control in a Community Hospital Setting. Journal of 
diabetes science and technology, 15(3), 546-552. Available at: 
https://doi.org/10.1177/1932296821993198.
    \278\ Bhalodkar, A., Sonmez, H., Lesser, M., et al. (2020). The 
Effects of a Comprehensive Multidisciplinary Outpatient Diabetes 
Program on Hospital Readmission Rates in Patients with Diabetes: A 
Randomized Controlled Prospective Study. Endocr Pract., 26(11), 
1331-1336. Available at: https://doi.org/10.4158/EP-2020-0261.
    \279\ American Diabetes Association Professional Practice 
Committee. (2025). Chapter 16. Diabetes care in the hospital: 
Standards of care in diabetes--2025. Diabetes Care, 48(Supplement 
1). Available at: https://doi.org/10.2337/dc25-S016.
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    There are currently no publicly reported measures of post-discharge 
care utilization for patients hospitalized for diabetes in the Hospital 
Inpatient Quality Reporting Program. Given the prevalence, care burden, 
and cost of diabetes, as well as the availability of effective 
interventions,\280\ we propose to adopt the Excess Days in Acute Care 
After Hospitalization for Diabetes (Diabetes EDAC) measure into the 
Hospital Inpatient Quality Reporting Program beginning with the July 1, 
2025 to June 30, 2027 performance period, associated with the FY 2029 
payment determination. The proposed measure supports the CMS and HHS 
priority to address chronic illness while aiming to improve disease-
specific outcomes, reduce avoidable acute-care utilization, and improve 
care transitions.\281\
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    \280\ American Diabetes Association Professional Practice 
Committee. (2025). Chapter 16. Diabetes care in the hospital: 
Standards of care in diabetes--2025. Diabetes Care, 48(Supplement 
1). Available at: https://doi.org/10.2337/dc25-S016.
    \281\ U.S. Department of Health & Human Services. (2025). HHS 
Priorities. Available at: https://www.hhs.gov/about/priorities/index.html.
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(2) Overview of Measure
    The proposed Diabetes EDAC measure is a risk adjusted outcome 
measure that assesses the number of days a patient spends in acute care 
within 30 days of discharge from an inpatient hospitalization for a 
diagnosis of diabetes mellitus with complications. The measure is 
intended to improve the quality of care transitions provided to 
patients hospitalized for diabetes by collectively measuring different 
types of returns to the hospital (ED visits, observation stays, and 
unplanned readmissions), which are all adverse acute care outcomes that 
can occur at any time within 30 days of discharge.\282\ We tested the 
proposed Diabetes EDAC measure using the most recent Medicare inpatient 
hospital discharge data from 4,193 hospitals with at least 25 eligible 
discharges from January 1, 2022, through December 31, 2023. Hospital-
level performance rates are depicted in Table IX.C.1., and demonstrate 
there is meaningful variation in the distribution of the measure 
scores.\283\ Similarly to the existing EDAC measures in the Hospital 
Inpatient Quality Reporting Program for patients admitted for 
pneumonia, heart failure, or acute myocardial infarction, which 
calculate final risk adjusted measure scores as the difference 
(``excess'') between a hospital's ``predicted days'' and ``expected 
days,'' per 100 discharges, lower scores (including negative numbers) 
indicate better performance. Thus, the lower performance percentiles 
are better performing hospitals than those in the higher percentiles 
(for example, the hospitals in the tenth percentile are the best 
performing hospitals). We note that in Table IX.C.1. negative numbers 
indicate fewer days than predicted in acute care. The interquartile 
range is 69.5 excess days in acute care per 100 discharges, and the 
difference between the 10th and 90th percentiles is 142.8 excess days 
in acute care per 100 discharges, occurring within 30 days of discharge 
from an inpatient hospitalization for diabetes.\284\ For more details 
on the risk adjustment model, we refer readers to section IX.C.3.a.
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    \282\ QualityNet. Excess Days in Acute Care Measures 
Methodology. Available at: https://qualitynet.cms.gov/inpatient/measures/edac/methodology.
    \283\ Partnership for Quality Measurement. Diabetes EDAC Empiric 
Validity and Evidence of Performance Gap. Excess Days in Acute Care 
(EDAC) After Hospitalization for Diabetes. Available at: https://www.p4qm.org/prmr-measures/muc2025-053.
    \284\ Centers for Medicare & Medicaid Services. Diabetes EDAC 
Empiric Validity and Evidence of Performance Gap. Available at: 
https://www.p4qm.org/sites/default/files/2025-12/MUC2025-053.zip.
[GRAPHIC] [TIFF OMITTED] TP14AP26.164

    Further, test results indicated measure reliability that meets 
accepted standards of reliability for a publicly reported measure.\285\ 
In testing this measure, we observed a significant association with the 
expected strength and in the expected direction with measures in the 
same causal pathway, which supports the validity of the Diabetes EDAC 
measure.\286\ The Diabetes EDAC measure was designed with stakeholder 
feedback from a diverse Technical Expert Panel (TEP).\287\ During 
measure development, the TEP evaluated the measure's face validity and 
expressed overall support, indicating that the Diabetes EDAC measure is 
a meaningful indicator of hospital quality.\288\
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    \285\ Partnership for Quality Measurement. (Oct. 2025). National 
Consensus Development and Strategic Planning for Health Care Quality 
Measurement. Endorsement and Maintenance Guidebook. Available at: 
https://www.p4qm.org/sites/default/files/2025-11/Del-3-6-Endorsement-and-Maintenance-Guidebook-OP2-508.pdf.
    \286\ Partnership for Quality Measurement. Diabetes EDAC Empiric 
Validity and Evidence of Performance Gap. Excess Days in Acute Care 
(EDAC) After Hospitalization for Diabetes. Available at: https://www.p4qm.org/prmr-measures/muc2025-053.
    \287\ Yale New Haven Health Services Corporation--Center for 
Outcomes Research and Evaluation. (Oct. 2024). Summary of Technical 
Expert Panel (TEP) Diabetes Excess Days in Acute Care (EDAC). 
Available at: https://mmshub.cms.gov/sites/default/files/Diabetes-EDAC-TEP-Meetings-Summary-Report.pdf.
    \288\ Yale New Haven Health Services Corporation--Center for 
Outcomes Research and Evaluation. (Oct. 2024). Summary of Technical 
Expert Panel (TEP) Diabetes Excess Days in Acute Care (EDAC). 
Available at: https://mmshub.cms.gov/sites/default/files/Diabetes-EDAC-TEP-Meetings-Summary-Report.pdf.

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[[Page 19583]]

(3) Measure Calculation
    The final risk adjusted Diabetes EDAC measure score is calculated 
as the difference, or ``excess'' days, between a hospital's 
``predicted'' days (that is, the average number of days a patient spent 
in acute care after adjusting for the risk factors) and ``expected'' 
days (that is, the average number of risk adjusted days in acute care a 
patient would have been expected to spend if discharged from an 
average-performing hospital with the same case mix), per 100 
discharges. The measure result is multiplied by 100, such that the 
final Diabetes EDAC measure score would represent excess days in acute 
care per 100 discharges and is reported as a rate.
(a) Numerator
    The numerator for the proposed Diabetes EDAC measure is defined as 
the number of days a patient spends in acute care for any cause, within 
30 days of discharge from the index hospitalization for diabetes. Days 
in acute care are defined as time spent in: ED visits without an 
associated admission, observation stays, and unplanned 
readmissions.\289\ Utilization is measured in days; each ED visit 
counts as one full day, regardless of duration or whether it spans more 
than one calendar date. Observation stays are measured in hours and 
rounded up to the nearest whole day; for example, a 28-hour observation 
stay counts as two full days. Unplanned readmissions are counted in 
days based on length of the hospital stay. All eligible encounters 
occurring within the 30-day period are counted, even if repeated. For 
example, an unplanned readmission with a length of stay of 7 days and 
an ED visit without an associated admission, both within 30 days of 
discharge, would contribute 8 days toward the EDAC numerator. Planned 
readmissions, such as scheduled follow-up visits, elective surgeries, 
or chemotherapy, are excluded. Consistent with existing EDAC measures, 
a planned readmission algorithm identifies admissions typically 
scheduled within 30 days of discharge.
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    \289\ Partnership for Quality Measurement. Excess Days in Acute 
Care (EDAC) After Hospitalization for Diabetes. Available at: 
https://www.p4qm.org/prmr-measures/muc2025-053.
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(b) Denominator
    This measure denominator includes index admissions for patients who 
meet all of the following criteria:
     Principal discharge diagnosis of diabetes;
     Enrolled in Medicare Fee-For-Service or Medicare Advantage 
for the 12 months prior to the date of admission and during the index 
admission;
     Aged 65 or over;
     Discharged alive from a non-federal short-term acute care 
hospital; and
     Not transferred to another acute care facility.
    The measure excludes the following index admissions from the 
measure cohort: (1) hospitalizations without at least 30 days of post-
discharge enrollment in Medicare Fee-For-Service or Medicare Advantage; 
(2) discharged against medical advice; or (3) diabetes admissions 
within 30 days of discharge from a prior diabetes index admission. 
These exclusion criteria are similar to those of the existing EDAC 
measures in the Hospital Inpatient Quality Reporting Program.
(c) Risk-Adjustment
    To account for differences in case mix among hospitals, the measure 
risk adjusts for age, comorbidities, severity of illness, and frailty 
based on clinical status at the index admission. The measure's risk 
adjustment includes comorbidities present at admission or within the 
prior 12 months, excludes complications arising during hospitalization, 
and accounts for survival times shorter than 30 days post discharge to 
accurately reflect hospital performance.
    For more information regarding the proposed Diabetes EDAC measure 
specifications, we refer readers to the Hospital Inpatient Proposed 
Measures web page at https://qualitynet.cms.gov/inpatient/iqr/proposedmeasures.
(4) Pre-Rulemaking Process and Measure Endorsement
(a) Recommendation From the Pre-Rulemaking Measure Review Process
    We refer readers to the Partnership for Quality Measurement for 
details on the Pre-rulemaking Measure Review process convened by the 
CBE, including the voting procedures used to reach consensus on measure 
recommendations.290 291 The Pre-Rulemaking Measure Review 
Hospital Committee, consisting of both the Pre-Rulemaking Measure 
Review Hospital Recommendation Group (hereafter referred to as the 
Recommendation Group) and Pre-Rulemaking Measure Review Hospital 
Advisory Group, met on January 12 and 13, 2026, to review measures 
included by the Secretary on the publicly available ``2025 Measures 
Under Consideration List,'' including the Diabetes EDAC measure 
(MUC2025-053).\292\
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    \290\ Partnership for Quality Management. Pre-Rulemaking Measure 
Review web page. Available at: https://p4qm.org/prmr/about.
    \291\ In 2025, the CBE updated the Pre-Rulemaking Measure Review 
voting process such that Recommendation Group members will vote to 
either ``recommend'' or ``do not recommend'' that a measure be added 
to the intended CMS program(s), thus, removing the ``recommend with 
conditions'' voting option. The threshold to reach consensus on a 
given measure continues to be a minimum of 75 percent agreement 
among members. Recommendation Group members can provide 
considerations for CMS to review prior to implementation.
    \292\ Centers for Medicare & Medicaid Services. (2025). 2025 
Measures Under Consideration List. Available at https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports.
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    The voting results of the Recommendation Group for the proposed 
inclusion of the Diabetes EDAC measure in the Hospital Inpatient 
Quality Reporting Program were: 15 members (68 percent) recommended 
adopting the measure into the Hospital Inpatient Quality Reporting 
Program; 7 members (32 percent) voted not to recommend the measure for 
adoption.\293\ With 68 percent of the votes for recommend, consensus 
was not reached, but the majority of the Recommendation Group expressed 
some support for use of the measure in the Hospital Inpatient Quality 
Reporting Program.
---------------------------------------------------------------------------

    \293\ Partnership for Quality Measurement. (February 2026). 
2025-2026 Pre-Rulemaking Measure Review Recommendations Group Final 
Meeting Summary: Hospital Committee. Available at: https://p4qm.org/sites/default/files/2026-02/PRMR-Hospital-Recommendation-Group-Meeting-Final-Summary-508.pdf.
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    Recommendation Group members who voted to recommend the measure for 
inclusion in the Hospital Inpatient Quality Reporting Program 
emphasized its importance for patients hospitalized for diabetes. Some 
Recommendation Group members provided considerations along with their 
vote to recommend this measure. Considerations included improved 
discharge planning and shortening the accountability window to a 7-day 
post-discharge period. Another member recommended adding 
sociodemographic risk factors to the risk adjustment model. Members 
also recommended expanding the measure to a hospital-wide approach, 
rather than a condition-specific approach.
    Recommendation Group members who voted not to recommend the measure 
for inclusion in the Hospital Inpatient Quality Reporting Program 
provided the following rationales: (1) hospitals have limited control 
over outpatient access or follow-up care; (2) the 30-day post-discharge 
period may not be appropriate; (3) the risk adjustment should be 
evaluated to ensure it is sufficient; (4) the measure

[[Page 19584]]

should undergo additional testing and have clearer specifications; and 
(5) the measure should be submitted for endorsement.
    Regarding concerns related to hospitals' limited control over 
outpatient access or follow-up care, we wish to emphasize that an 
effective strategy for improving avoidable post-discharge acute-care 
utilization is to connect patients to resources as part of discharge 
planning. For example, one of the key strategies recommended by the 
American Diabetes Association is scheduling follow-up appointments 
before the patient is discharged.\294\ We consider these types of 
activities to be an important part of providing high quality care for 
patients with diabetes, and note that a goal of this measure is to 
incentivize hospitals to ensure these types of activities are standard 
practices. Through detailed, confidential, hospital-specific reports, 
hospitals would be provided with data to show where there are 
opportunities for improvement.
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    \294\ American Diabetes Association Professional Practice 
Committee. Recommendation 16.16 (structured discharge plan). Chapter 
16. Diabetes Care in the Hospital: Standards of Care in Diabetes--
2025. Diabetes Care 2025;48 (Suppl. 1):S321-S334. Available at: 
https://doi.org/10.2337/dc25-S016.
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    Regarding concerns and considerations related to the post-discharge 
period for accountability, the measure's 30-day timeframe is consistent 
with the existing 30-day readmission and EDAC measures in the Hospital 
Inpatient Quality Reporting Program, which have been endorsed by a CBE 
and publicly reported. The 30-day timeframe allows for a more complete 
reflection of the hospital's full discharge plan, including follow-up, 
care coordination, and self-management education.
    Regarding concerns about the sufficiency of the measure's risk 
adjustment model, measure testing supported the current risk adjustment 
model. The Diabetes EDAC measure is risk adjusted for clinically 
relevant factors including patient functional status (frailty 
indicator), patient-level demographics (age), and patient-level health 
status and clinical conditions (case-mix adjustment, comorbidities, and 
severity of illness).\295\ The risk adjustment model testing results 
indicate adequate controls for differences in patient characteristics 
(case mix), with a c-statistic \296\ of 0.68, and 0.70 in the 
validation sample. The predictive ability \297\ ranged from 1.66 
percent to 13.23 percent, and 1.22 percent to 14.43 percent in the 
validation sample.\298\ These testing results demonstrate the risk 
adjustment model effectively differentiates excess days in acute care 
after hospitalization for diabetes, thus adequately adjusting for 
differences in patient characteristics.\299\ Regarding the 
recommendation to include sociodemographic risk factors, we tested 
model performance using dual-eligible status. Overall, the results 
indicate that the impact of dual-eligible status on measures scores is 
minimal and did not meaningfully change hospital scores. This informed 
our decision not to adjust for dual-eligible status in the risk 
adjustment model.\300\
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    \295\ Centers for Medicare & Medicaid Services. (2025). Diabetes 
EDAC Risk Adjustment and Model Performance Testing. Available at: 
https://www.p4qm.org/sites/default/files/2025-12/MUC2025-053.zip.
    \296\ The c-statistic is an indicator of the model's 
discriminant ability or ability to correctly classify those patients 
who have and have not had a qualifying event within 30 days. 
Potential values range from 0.5, meaning no better than chance, to 
1.0, an indication of perfect prediction. The CBE has determined 
that for readmission-type measures, a c-statistic of 0.68 is 
considered an effective model of discriminant ability. We refer 
readers to the ``Diabetes EDAC Risk Adjustment and Model Performance 
Testing'' available at: https://p4qm.org/prmr-measures/muc2025-053 
for more details.
    \297\ Predictive ability measures the ability to distinguish 
high-risk subjects from low-risk subjects. A model with good 
predictive ability would see a wide range in observed outcomes 
between lowest and highest deciles of predicted outcomes. We have 
calculated the range of mean observed hospital ratios between the 
lowest and highest deciles of hospital visit probabilities. We refer 
readers to the ``Diabetes EDAC Risk Adjustment and Model Performance 
Testing'' available at: https://p4qm.org/prmr-measures/muc2025-053 
for more details.
    \298\ Centers for Medicare & Medicaid Services. (2025). Diabetes 
EDAC Risk Adjustment and Model Performance Testing. Available at: 
https://www.p4qm.org/sites/default/files/2025-12/MUC2025-053.zip.
    \299\ Centers for Medicare & Medicaid Services. (2025). Diabetes 
EDAC Risk Adjustment and Model Performance Testing. Available at: 
https://www.p4qm.org/sites/default/files/2025-12/MUC2025-053.zip.
    \300\ Centers for Medicare & Medicaid Services. (2025). Diabetes 
EDAC Risk Adjustment and Model Performance Testing. Available at: 
https://www.p4qm.org/sites/default/files/2025-12/MUC2025-053.zip.
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    Regarding concerns about additional testing, a recommendation for 
clearer specifications, and concerns about lack of endorsement, we note 
that the measure underwent the same extensive analysis and measure 
specifications development needed for the endorsement process, and that 
the measure will be submitted to the CBE for endorsement review for the 
Spring 2026 review cycle.
    Regarding the consideration to expand this measure to a hospital-
wide approach, rather than a condition-specific approach, we thank the 
Recommendation Group for this consideration and will consider it for 
future measures.
    After taking these recommendations and concerns into consideration, 
we propose to adopt the Diabetes EDAC measure into the Hospital 
Inpatient Quality Reporting Program beginning with the July 1, 2025 to 
June 30, 2027 performance period, associated with the FY 2029 payment 
determination.
(b) Measure Endorsement
    We refer readers to the Partnership for Quality Measurement website 
for details on the measure endorsement and maintenance process, 
including the measure evaluation procedures the Endorsement and 
Maintenance Committees use to evaluate measures and whether they meet 
endorsement criteria. The Diabetes EDAC measure will be submitted to 
the CBE for endorsement review for the Spring 2026 cycle. Section 
1886(b)(3)(B)(viii)(IX)(aa) of the Social Security Act (Act) generally 
requires that measures specified by the Secretary for use in the 
Hospital Inpatient Quality Reporting Program be endorsed by the entity 
with a contract under section 1890(a) of the Act. However, section 
1886(b)(3)(B)(viii)(IX)(bb) of the Act states that in the case of a 
specified area or medical topic determined appropriate by the Secretary 
for which a feasible and practical measure has not been endorsed by the 
entity with a contract under section 1890(a) of the Act, the Secretary 
may specify a measure that is not so endorsed as long as due 
consideration is given to measures that have been endorsed or adopted 
by a consensus organization identified by the Secretary. We reviewed 
CBE-endorsed measures and were unable to identify any CBE-endorsed 
hospital inpatient measures addressing post-discharge care utilization 
for patients hospitalized for diabetes. Therefore, the exception in 
section 1886(b)(3)(B)(viii)(IX)(bb) of the Act applies.
(5) Data Sources, Submission, and Public Reporting
    The proposed Diabetes EDAC measure uses claims data from Medicare 
Fee-For-Service and Medicare Advantage encounter data which are 
routinely generated by hospitals and Medicare Advantage plans and 
submitted to CMS. Therefore, hospitals would not be required to report 
any additional data for this measure. Enrollment status would be 
obtained from the Medicare Enrollment Database which contains 
beneficiary demographic, benefit/coverage, and vital status 
information.
    While the existing EDAC measures in the Hospital Inpatient Quality 
Reporting

[[Page 19585]]

Program currently use a 3-year performance period, in section IX.C.5.a. 
of this FY 2027 IPPS/LTCH PPS proposed rule, we are proposing to add 
Medicare Advantage beneficiaries to the measure cohorts and shorten the 
performance periods to 2 years. To align with these proposed updates, 
we propose that the Diabetes EDAC measure would also use a 2-year 
performance period. For example, for the FY 2029 payment determination, 
the performance period would comprise of data for index admissions that 
occurred between July 1, 2025 to June 30, 2027. The measure would be 
publicly reported through the Compare tool, currently available at: 
https://www.medicare.gov/care-compare/, or successor CMS website, for 
the first time in July 2028, or as soon as feasible. The measure would 
be calculated and publicly reported on an annual basis using a rolling 
24-months performance period data.
    We invite public comment on our proposal to adopt the Diabetes EDAC 
measure into the Hospital Inpatient Quality Reporting Program beginning 
with the July 1, 2025 to June 30, 2027 performance period, associated 
with the FY 2029 payment determination.
b. Proposed Adoption of the Hospital Harm--Postoperative Venous 
Thromboembolism Electronic Clinical Quality Measure
(1) Background
    Postoperative venous thromboembolism (VTE) includes both deep vein 
thrombosis (DVT), a thrombus (that is, blood clot) in the deep veins, 
most often in the legs, and pulmonary embolism (PE), when a thrombus 
travels through the venous circulation and the right side of the heart, 
and lodges in the lungs. VTE is considered to be a leading cause of 
preventable death following surgery, with as many as 70 percent of 
cases considered to be preventable.\301\ Non-fatal postoperative VTE 
can lead to adverse health consequences, including chronic 
thromboembolic pulmonary hypertension, a potentially fatal condition. 
Long term complications, such as pain and swelling in the affected 
limb, occur among one third to one half of people who have had a DVT 
and one third of VTE patients will experience a recurrence of the DVT 
within 10 years.\302\ The AHRQ Healthcare Cost and Utilization Project 
(HCUP) State Inpatient Database from 2020, 2021, and 2022 showed that 
50,017 perioperative PE's or DVT's occurred in 15,387,213 discharges, 
which is a rate of 3.25 per 1,000 discharges.\303\ Each postoperative 
VTE event generates an estimated $17,367 in additional costs,\304\ 
suggesting a 3-year cost of $868,645,239 for the postoperative VTE 
events identified in the HCUP data. An analysis of 1,112,014 
hospitalizations between 2013 and 2021 found a more than three times 
higher risk of readmission and a 63 percent higher risk of death for 
patients acquiring a hospital-associated VTE.\305\
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    \301\ Centers for Disease Control and Prevention. (2025). Data 
and Statistics on Venous Thromboembolism. In Venous Thromboembolism 
(Blood Clots). Available at: https://www.cdc.gov/blood-clots/data-research/facts-stats/index.html.
    \302\ Centers for Disease Control and Prevention. (2025). Data 
and Statistics on Venous Thromboembolism. In Venous Thromboembolism 
(Blood Clots). Available at: https://www.cdc.gov/blood-clots/data-research/facts-stats/index.html.
    \303\ Agency for Healthcare Research and Quality. Patient Safety 
Indicators (PSI) Benchmark Data Tables, v. 2025. AHRQ PSI Technical 
Documentation, Version v2025. Available at: https://qualityindicators.ahrq.gov/measures/psi_resources.
    \304\ Agency for Healthcare Research and Quality. (2020). AHRQ 
National Scorecard on Hospital-Acquired Conditions. Available at: 
https://www.ahrq.gov/hai/pfp/index.html.
    \305\ Neeman E, Liu V, Mishra P, et al. Trends and Risk Factors 
for Venous Thromboembolism Among Hospitalized Medical Patients. JAMA 
Net Open. 2022;5(11):e2240373. Available at: doi:10.1001/
jamanetworkopen.2022.40373.
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    There are established therapies that can reduce the risk of a VTE, 
but failure or delay in prescribing appropriate VTE prophylaxis can 
result in a higher risk of postoperative VTE. For example, one study 
found that delays or interruptions in thromboprophylaxis were 
associated with two to three times higher risk of VTE.\306\ Hospital 
care processes can reduce the risk of hospital-acquired VTE through 
integration of evidence-based guidelines into hospital protocols and 
use of VTE-risk assessment and physician alerts to improve use of VTE 
prophylaxis.\307\ Another report found evidence that combining hospital 
interventions, such as mechanical and pharmacological prophylaxis, can 
reduce the incidence of DVT among patients undergoing surgery or 
admitted with trauma.\308\ This volume of preventable safety events 
shows that there are opportunities to reduce the rate of postoperative 
VTEs.
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    \306\ Henke, P.K., Kahn, S.R., Pannucci, C.J., Secemksy, E.A., 
Evans, N.S., Khorana, A.A., Creager, M.A., & Pradhan, A.D. (2020). 
Call to action to prevent venous thromboembolism in hospitalized 
patients: A policy statement from the American Heart Association. 
Circulation, 141(24). Available at: https://doi.org/10.1161/cir.0000000000000769.
    \307\ Geerts, W. (2009). Prevention of venous thromboembolism: a 
key patient safety priority. Journal of Thrombosis and Haemostasis, 
7, 1-8. Available at: https://www.sciencedirect.com/science/article/pii/S1538783622174040.
    \308\ Kakkos, S., Kirkilesis, G., Caprini, J. A., Geroulakos, 
G., Nicolaides, A., Stansby, G., & Reddy, D. J. (2022). Combined 
intermittent pneumatic leg compression and pharmacological 
prophylaxis for prevention of venous thromboembolism. The Cochrane 
database of systematic reviews, 1(1), CD005258. Available at: 
https://doi.org/10.1002/14651858.CD005258.pub4.
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    Preventing VTE and associated complications after hospitalization 
and incentivizing appropriate administration of VTE prophylaxis have 
been, and continue to be, important goals of the Hospital Inpatient 
Quality Reporting Program since the early days of the program. The 
current measure set contains two VTE eCQMs, Venous Thromboembolism 
Prophylaxis (VTE-1) eCQM and Intensive Care Unit Venous Thromboembolism 
Prophylaxis (VTE-2) eCQM, which were adopted as measures that hospitals 
could self-select beginning with the CY 2014 reporting period (78 FR 
50807 through 50810). Replacing these two process measures with a 
single comprehensive outcome measure can reduce burden while continuing 
to address this consequential health care issue affecting postoperative 
patient outcomes.
    We propose to adopt the Hospital Harm--Postoperative Venous 
Thromboembolism (hereafter referred to as Hospital Harm--Postoperative 
VTE) eCQM beginning with the CY 2028 reporting period/FY 2030 payment 
determination. We refer readers to section IX.C.4.a. for our proposal 
to remove the VTE-1 and VTE-2 eCQMs contingent upon the adoption of the 
Hospital Harm--Postoperative VTE eCQM.
(2) Overview of Measure
    The Hospital Harm--Postoperative VTE eCQM is a risk adjusted 
outcome measure that assesses the proportion of inpatient 
hospitalizations for patients age 18 and older who have at least one 
surgical procedure performed inside the operating room during the 
admission, and who suffer the harm of a postoperative VTE during 
hospitalization or within 30 days after the first surgical procedure. 
The intent of the measure is to improve patient safety by incentivizing 
hospitals to implement processes to reduce the occurrence of 
postoperative VTE. Accurately monitoring the rate at which 
postoperative VTE occurs will allow hospitals to improve quality and 
reduce VTE harm rates.
(3) Measure Calculation
    This outcome measure reports the proportion of inpatient 
hospitalizations for patients aged 18 years and older with a 
postoperative VTE within 30

[[Page 19586]]

days of the first surgical procedure.\309\ This measure is calculated 
using a risk adjusted measure score, which reflects the performance of 
a hospital treating its patients relative to the average hospital 
treating patients with the same characteristics. This is calculated by:
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    \309\ This criterion was supported by the American College of 
Surgeons National Surgical Quality Improvement Program (ACS NSQIP). 
Information about this program is available at: https://www.surgeons.org/-/media/Project/RACS/surgeons-org/files/interest-groups-sections/surgical-directors/199778_2016-08-20_pre_bruce_hodge_nsqip.pdf?rev=ef1c0da899bf442aa5cdf711ba24155b&hash=65855EF1169A93A4C83471DA384DAF57.
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     Dividing the number of inpatient hospitalizations in the 
numerator by the number of inpatient admissions in the denominator to 
determine the observed rate;
     Using the risk adjustment model to determine the 
hospital's expected VTE event rate based on the hospital's case mix; 
and
     Dividing the observed rate by the expected rate.
(a) Numerator
    The numerator is the number of inpatient hospitalizations for adult 
patients who had a surgical procedure performed in the operating room 
during the hospitalization and experienced a VTE within 30 days of the 
surgical procedure. Postoperative VTE cases can be identified for 
inclusion in the numerator in multiple ways. For example, documentation 
in the medical record of a diagnosis of VTE that was not present when 
the patient was admitted to the hospital for an inpatient stay that 
included surgery would qualify the admission for the numerator. 
Alternatively, an inpatient admission in which a patient had surgery 
and subsequently had a diagnostic imaging procedure performed followed 
by an order for anticoagulation therapy would also qualify for the 
numerator. A postoperative VTE that occurs during a subsequent hospital 
stay within 30 days of the surgical procedure would count toward the 
numerator if there is documentation of a diagnosis of VTE and 
anticoagulation therapy ordered or prescribed during that hospital 
stay. We refer readers to the Partnership for Quality Measurement 
website (https://p4qm.org/prmr-measures/muc2025-067) for more details 
on the measure specifications, including more details on how a 
postoperative VTE is determined.
(b) Denominator
    The denominator is the number of adult patients who had a surgical 
procedure performed in the operating room during an inpatient 
hospitalization. The cohort includes inpatient hospitalizations for 
patients aged 18 and older where a surgical procedure was performed 
inside the operating room during the encounter. The cohort excludes 
inpatient encounters for:
     Patients with an obstetric-related diagnosis;
     A VTE diagnosis present on admission;
     Acute brain or spinal injury or hemorrhage present on 
admission;
     Extracorporeal membrane oxygenation during the inpatient 
encounter;
     A thrombectomy procedure before or on the same day as the 
first surgical procedure;
     Intracranial or spinal surgery where the patient was 
discharged less than five days after the end of the surgery; and
     Inpatient encounters with a duration of stay less than 2 
days.
(c) Risk Adjustment
    The risk adjustment model accounts for factors that affect risk of 
VTE, specifically age, sex, and eight clinical factors (bleeding 
disorders, cancer, catheter insertion, history of VTE, obesity, 
respiratory operations, stroke, and vascular surgeries). The risk 
adjustment model was developed using two consecutive years (CY 2022 
through 2023) of electronic health record (EHR) data from a 
commercially available EHR database.\310\ Testing of the risk 
adjustment model demonstrated the ability to discriminate between high-
risk and low-risk postoperative VTE events. The risk adjustment model 
has been developed to ensure that hospitals that care for patients at 
higher risk of postoperative VTE are evaluated fairly.\311\
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    \310\ Partnership for Quality Measurement. Measurement Data 
Report, Downloads, Hospital Harm--Postoperative Venous 
Thromboembolism. Available at: https://p4qm.org/measures/5325e.
    \311\ Partnership for Quality Measurement. Risk Adjustment, 
under the Scientific Acceptability Tab, Hospital Harm--Postoperative 
VTE. Available at: https://p4qm.org/measures/5325e.
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    The sample to evaluate the risk adjustment model included 100,911 
hospitalizations from 34 hospitals in six states during 2022 and 2023. 
Hospital-level characteristics were not available because the data uses 
anonymized hospital identifications. Hospitals included in the sample 
had hospitalizations ranging in number from 56 to 6,746 annually.\312\ 
The risk adjusted performance scores ranged from 0.21 percent in Decile 
1 to 4.21 percent in Decile 10, with a median score of 0.78 
percent.\313\ The difference between the best and worst performing 
facilities suggests there is room for improvement among facilities. In 
addition, the median performance score of 0.78 percent exceeds the rate 
of 0.35 percent found in the AHRQ HCUP State Inpatient Database.\314\ 
The testing results using 2 years of data (CY 2022 through 2023) 
indicated strong measure reliability, with signal-to-noise reliability 
scores ranging from 0.9998 to 0.9999, and therefore this measure 
demonstrates high reliability using 2 years of data.\315\ Data element 
validity testing was conducted with two hospitals and results from this 
testing showing strong agreement between EHR data and patient chart-
abstracted data for nearly all data elements and moderate to excellent 
sensitivity and specificity results for classifying patients into the 
denominator and numerator. There was moderate to low sensitivity for 
classifying patients as denominator exclusions, but these findings were 
likely driven by specific limitations of the hospitals involved in 
testing rather than indicative of broader validity limitations.
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    \312\ Partnership for Quality Measurement. Scientific 
Acceptability Tab, Hospital Harm--Postoperative VTE. Available at: 
https://p4qm.org/measures/5325e.
    \313\ Partnership for Quality Measurement. Under the Performance 
Gap, under Importance Tab. Available at: https://p4qm.org/measures/5325e.
    \314\ Agency for Healthcare Research and Quality. Patient Safety 
Indicators (PSI) Benchmark Data Tables, v. 2025. AHRQ PSI Technical 
Documentation, Version v2025. Available at: https://qualityindicators.ahrq.gov/measures/psi_resources.
    \315\ Partnership for Quality Measurement. Reliability web page, 
under the Scientific Acceptability Tab, Hospital Harm--Postoperative 
Venous Thromboembolism. Available at: https://p4qm.org/measures/5325e.
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(4) Pre-Rulemaking Process and Measure Endorsements
(a) Recommendations From the Pre-Rulemaking Measure Review Process
    We refer readers to the Partnership for Quality Measurement website 
for details on the Pre-rulemaking Measure Review process convened by 
the CBE, including the voting procedures used to reach consensus on 
measure recommendations.316 317 The Pre-rulemaking Measure 
Review Hospital Committee, consisting of both the Pre-Rulemaking 
Measure Review Hospital Recommendation Group (hereafter

[[Page 19587]]

referred to as the Recommendation Group) and Pre-Rulemaking Measure 
Review Hospital Advisory Group, met on January 12 and 13, 2026, to 
review measures included by the Secretary on the publicly available 
``2025 Measures Under Consideration List,'' including the Hospital 
Harm--Postoperative VTE measure.\318\
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    \316\ Partnership for Quality Management. Pre-Rulemaking Measure 
Review web page. Available at: https://p4qm.org/prmr/about.
    \317\ We note the Pre-Rulemaking Measure Review voting process 
was updated in 2025. We refer readers to the corresponding footnote 
in section IX.C.3.a.(4).(a). of this proposed rule for details on 
the updated Pre-Rulemaking Measure Review voting process.
    \318\ Centers for Medicare & Medicaid Services. (2025). 2025 
Measures Under Consideration List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports/overview.
---------------------------------------------------------------------------

    The voting results of the Recommendation Group for the proposed 
adoption of the Hospital Harm--Postoperative VTE measure in the 
Hospital Inpatient Quality Reporting Program were: 7 members (35 
percent) recommended adopting the measure into the Hospital Inpatient 
Quality Reporting Program, and 13 members (65 percent) voted not to 
recommend the measure for adoption.\319\ With 65 percent of the votes 
not to recommend, consensus was not reached, with the majority of the 
Recommendation Group expressing some concern about use of the measure 
in the Hospital Inpatient Reporting Program.
---------------------------------------------------------------------------

    \319\ Partnership for Quality Measurement. (February 2026). 
2025-2026 Pre-Rulemaking Measure Review Recommendation Group Final 
Meeting Summary: Hospital Committees. Available at: https://p4qm.org/sites/default/files/2026-02/PRMR-Hospital-Recommendation-Group-Meeting-Final-Summary-508.pdf.
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    Some Recommendation Group members who voted to support adoption of 
the Hospital Harm--Postoperative VTE measure in the Hospital Inpatient 
Quality Reporting Program provided several considerations with their 
vote. These considerations were concerns regarding the proposed 30-day 
window, concern that the timeline for adoption is unclear, and a 
recommendation to test the measure in additional EHR systems.
    Recommendation Group members who voted not to recommend provided 
the following rationales: (1) concerns regarding the proposed 30-day 
timeframe; (2) concerns regarding potential overlap with the PSI 12 
measure; (3) concerns regarding potential unintended consequences; (4) 
recommendations for methodological refinements; (5) concerns regarding 
technical implementation within EHR systems; (6) lack of clarity 
regarding the measure's ability to meaningfully advance quality; and 
(7) concerns that the measure has not been endorsed by the Consensus 
Based Entity (CBE). We address each of these concerns in detail in the 
following paragraphs.
    Regarding concerns that the timeline for adoption is unclear, we 
note that we are proposing to adopt the Hospital Harm--Postoperative 
VTE measure beginning with the CY 2028 reporting period/FY 2030 payment 
determination as an option for self-selection. That is, participating 
hospitals may select the Hospital Harm--Postoperative VTE measure as 
one of the three self-selected eCQMs to be reported in addition to 
three mandatory eCQMs. We refer readers to Table IX.C.5 for the full 
list of eCQMs available for self-selection. In addition, in section 
IX.C.8.c.(3). of the preamble of this proposed rule, we are proposing 
that Hospital Harm eCQMs would become mandatory after two years of 
being an option for self-selection. If that policy is finalized, the 
Hospital Harm--Postoperative VTE measure would become mandatory 
beginning with the CY 2030 reporting period/FY 2032 payment 
determination.
    Regarding the recommendation to test the measure in additional EHR 
systems, we used test sites collectively using four EHR systems 
(specifically, Epic, Allscripts, Cerner, and Meditech) which represent 
the majority of EHR systems in the United States.\320\ We refer readers 
to section IX.C.3.b.(3).(c). for details on measure testing, including 
measure reliability and validity. If this eCQM is finalized for 
adoption into the Hospital Inpatient Quality Reporting Program, we note 
that as a part of routine measure maintenance we conduct ongoing 
monitoring and evaluation of our measures to identify potential 
unintended consequences.
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    \320\ Holmgren AJ, Apathy NC. (2023). Trends in US Hospital 
Electronic Health Record Vendor Market Concentration, 2012-2021. J 
Gen Intern Med. Journal of general internal medicine, 38(7), 1765-
1767. Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC10212829/.
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    With respect to the 30-day timeframe, we note that 30 days post-
discharge is a common window for assessing adverse events stemming from 
a hospital admission. The Hospital Inpatient Quality Reporting Program 
includes several measures that cover the 30-day period post discharge, 
such as the Thirty-day Risk-Standardized Death Rate among Surgical 
Inpatients with Complications Measure and the Hybrid Hospital-Wide All-
Cause Readmission Measure. With respect to using a 30-day timeframe for 
capturing postoperative VTE events, evidence shows that roughly one 
third of VTEs occur between postoperative day 14 and the end of the 
fourth week after surgery.\321\
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    \321\ Singh, T., Lavikainen, L.I., Halme, A.L.E., Aaltonen, R., 
Agarwal, A., Blanker, M. H., Bolsunovskyi, K., Cartwright, R., 
Garc[iacute]a-Perdomo, H., Gutschon, R., Lee, Y., Pourjamal, N., 
Vernooij, R.W.M., Violette, P.D., Haukka, J., Guyatt, G.H., & 
Tikkinen, K. a. O. (2023). Timing of symptomatic venous 
thromboembolism after surgery: meta-analysis. British Journal of 
Surgery, 110(5), 553-561. Available at: https://doi.org/10.1093/bjs/znad035.
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    We understand the concern regarding potential overlap with PSI 12, 
which is a claims-based measure of perioperative PE and DVT rate 
included in the PSI-90 composite, and only captures care provided for 
Medicare beneficiaries. The Hospital Harm--Postoperative VTE measure is 
an all-payer eCQM, and therefore captures care provided for all 
patients rather than Medicare patients only. For this reason, we 
believe this measure has the potential to serve as a replacement for 
the claims-based PSI 12 measure in the future.
    With respect to concerns about unintended consequences, including 
overtreatment and unnecessary use of anticoagulation therapies, we note 
that as a part of routine measure maintenance we conduct ongoing 
monitoring and evaluation of our measures to identify potential 
unintended consequences. Furthermore, we may consider adopting a 
measure focused on overuse of anticoagulation medication in future 
measure development and rulemaking.
    Members of the Recommendation Group who suggested methodological 
refinements specifically recommended including clearer diagnostic 
criteria for VTE. The measure specifies that a stay must have 
documentation of both an imaging procedure to diagnose the VTE and 
initiation of anticoagulant therapy within 24 hours of the imaging 
procedure. The measure further requires that the anticoagulant therapy 
be delivered at a dose appropriate for therapeutic treatment of VTE, as 
opposed to a lower dose appropriate for VTE prophylaxis or maintenance 
therapy for atrial fibrillation. In concert, the three numerator 
requirements--(a) documentation of a diagnostic imaging procedure, (b) 
administration of anticoagulant therapy within 24 hours of the imaging 
procedure, and (c) for the anticoagulant to be provided at a dose 
consistent with VTE treatment--would minimize the chance for 
misclassification. We refer readers to the eCQI Resource Center 
(https://ecqi.healthit.gov/eh-cah?qt-tabs_eh=1) for more details on the 
measure specifications, including more details on how a postoperative 
VTE is determined.
    Members of the Recommendation Group who had concerns regarding 
technical implementation in EHRs were concerned that hospitals in 
systems with a single enterprise-wide EHR may appear to perform worse 
on the measure because post-discharge VTE events are more likely to be 
captured. We note that

[[Page 19588]]

this measure relies on capturing data regarding an imaging procedure to 
diagnose the VTE and initiation of anticoagulant therapy within 24 
hours of the imaging procedure within the same EHR system in which the 
qualifying surgery was documented, which may cause systems with 
multiple EHRs to appear to perform better on this measure because they 
capture fewer post-discharge VTE events. However, given that many 
numerator-qualifying VTE events occur during the initial 
hospitalization, and approximately 75 percent of patients with post-
surgical complications return to their discharging 
hospital,322 323 we expect that the vast majority of data on 
postoperative VTEs would be available within the reporting hospital's 
EHR.
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    \322\ Lawson, E.H., Hall, B.L., Louie, R., Ettner, S. L., 
Zingmond, D.S., Han, L., Rapp, M., & Ko, C.Y. (2013). Association 
Between Occurrence of a Postoperative Complication and Readmission: 
Implications for Quality Improvement and Cost Savings. Annals of 
Surgery, 258(1), 10-18. Available at: https://doi.org/10.1097/sla.0b013e31828e3ac3.
    \323\ Brooke, B. S., Goodney, P. P., Kraiss, L. W., Gottlieb, D. 
J., Samore, M. H., Finlayson, S. R. G. (2015). Readmission 
destination and risk of mortality after major surgery: an 
observational cohort study. In The Lancet (Vol. 386, pp. 884-895). 
Available at: http://dx.doi.org/10.1016/S0140-6736(15)60087-3.
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    With respect to questions about how the Hospital Harm--
Postoperative VTE measure advances quality, adopting a measure that 
evaluates the frequency of postoperative VTEs incentivizes hospitals to 
evaluate their current procedures and implement quality improvement 
initiatives to reduce the occurrences of this preventable condition.
    With respect to concerns raised by Recommendation Group members 
that the measure had not been endorsed by the CBE, the Hospital Harm--
Postoperative VTE measure was submitted to the CBE for the Fall 2025 
endorsement cycle. We note that the CBE had not yet met to review the 
Hospital Harm--Postoperative VTE measure for endorsement at the time of 
the Recommendation Group review, but it subsequently did so and 
endorsed the measure. We refer readers to section IX.C.3.b.(4).(b). of 
this proposed rule for a further discussion of the results of the CBE's 
endorsement decision.
    After taking these recommendations and concerns into consideration, 
we propose to adopt the Hospital Harm--Postoperative VTE measure in the 
Hospital Inpatient Quality Reporting Program beginning with the FY 2028 
payment determination.
(b) Measure Endorsement
    We refer readers to the Partnership for Quality Measurement website 
for details on the measure endorsement and maintenance process, 
including the measure evaluation procedures the Endorsement and 
Maintenance Committees use to evaluate measures and whether they meet 
endorsement criteria. The Hospital Harm--Postoperative VTE eCQM was 
submitted for review in the Fall 2025 cycle. The Management of Acute 
and Chronic Conditions Recommendation Group reviewed the Hospital 
Harm--Postoperative VTE eCQM (CBE# 5325e) on February 4, 2026. The 
voting results of the Recommendation Group were: 2 members (11 percent) 
voted to endorse the measure; 15 members (79 percent) voted to endorse 
the measure with conditions; and 2 members (11 percent) voted not to 
endorse the measure. With more than 75 percent of members voting to 
endorse the measure or endorse the measure with conditions, the 
Recommendation Group reached consensus to endorse the measure with 
conditions.\324\ The condition is that by the next measure maintenance 
review (5 years) the developer will have explored other risk factors 
that may impact post-discharge VTE (for example, social determinants of 
health). In connection with this condition, we will continue to monitor 
and evaluate the risk adjustment methodology to determine if changes 
are needed.
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    \324\ Partnership for Quality Measurement. (February 2026). Fall 
2025 Cycle Endorsement and Maintenance (E&M) Technical Report: 
Management of Acute and Chronic Events. This report will be 
published in the spring 2026 and will be available at: https://p4qm.org/em/news-events. https://p4qm.org/em/news-events.
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(5) Data Source, Submission, and Public Reporting
    The Hospital Harm--Postoperative VTE eCQM uses data collected 
through hospitals' EHRs. The measure is designed to be calculated by 
the hospitals' certified health IT using the patient-level data and 
then submitted by hospitals to CMS. All data elements necessary to 
calculate the measure, including the numerator and denominator as well 
as to apply the risk adjustment model, are defined within value sets 
available in the Value Set Authority Center .\325\ Testing was 
performed to confirm the feasibility of the measure, data elements, and 
validity of the numerator, using clinical adjudicators who validated 
the EHR data compared with medical chart-abstracted data. Testing in 
six hospitals using three EHR systems demonstrated that all critical 
data elements can be reliably and consistently captured, and measure 
implementation is feasible.
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    \325\ To access the value sets for the measure, please visit the 
Value Set Authority Center, sponsored by the National Library of 
Medicine, at https://vsac.nlm.nih.gov/.
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    We refer readers to section IX.C.8.c. of this proposed rule for 
discussion of previously finalized eCQM reporting and submission 
policies, and our proposed modifications to establish mandatory 
reporting of all Hospital Harm eCQMs after an initial period of 
voluntary reporting in the program. Additionally, we refer readers to 
section IX.F.9. of this proposed rule for discussion of a similar 
policy to adopt this measure in the Medicare Promoting Interoperability 
Program.
    We invite public comment on our proposal to adopt the Hospital 
Harm--Postoperative VTE eCQM beginning with the CY 2028 reporting 
period/FY 2030 payment determination.
4. Proposed Removals in the Hospital Inpatient Quality Reporting 
Program Measure Set
    We are proposing to remove three measures from the Hospital 
Inpatient Quality Reporting Program beginning with the CY 2028 
reporting period/FY 2030 payment determination: (1) Venous 
Thromboembolism Prophylaxis eCQM; (2) Intensive Care Unit Venous 
Thromboembolism Prophylaxis eCQM; and (3) Discharged on Antithrombotic 
Therapy eCQM. We provide more details on each of these proposals in the 
subsequent section.
a. Proposed Removal of Two Venous Thromboembolism Electronic Clinical 
Quality Measures
    We refer readers to the FY 2014 IPPS/LTCH PPS final rule where we 
adopted the Venous Thromboembolism Prophylaxis (VTE-1) and Intensive 
Care Unit Venous Thromboembolism Prophylaxis (VTE-2) eCQMs beginning 
with the CY 2014 reporting period/FY 2016 payment determination (78 FR 
50807 through 50810). These measures were originally adopted as chart-
abstracted measures and were later specified as eCQMs, which we adopted 
as optional measures for hospitals to self-select. We propose to remove 
the VTE-1 and VTE-2 eCQMs from the Hospital Inpatient Quality Reporting 
Program, beginning with the CY 2028 reporting period/FY 2030 payment 
determination, under our measure removal factor 5, the availability of 
a measure that is more strongly associated with desired patient 
outcomes for the particular topic, as described at 42 CFR 
412.140(g)(3)(i)(E), if the proposed Hospital Harm--Postoperative VTE

[[Page 19589]]

eCQM is adopted.\326\ The VTE-1 eCQM assesses the proportion of 
patients admitted to the hospital who received VTE prophylaxis or have 
documentation of why no VTE prophylaxis was given between the day of 
hospital admission to the day after admission or surgery end date. The 
VTE-2 eCQM measures the proportion of patients admitted or transferred 
to the intensive care unit (ICU) who received VTE prophylaxis or have 
documentation of why no VTE prophylaxis was given between the day of 
admission or transfer to the ICU to the day after admission or surgery 
end date.
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    \326\ We refer readers to the FY 2019 IPPS/LTCH PPS final rule 
(83 FR 41540 through 41544) for a summary of the Hospital Inpatient 
Quality Reporting Program's removal factors. Removal factors are 
codified at 42 CFR 412.140(g)(2) and (3).
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    Patient safety topics such as appropriate VTE prophylaxis continue 
to be high priority topics for quality measurement in the hospital 
inpatient setting. Since introducing the VTE-1 and VTE-2 eCQMs into the 
Hospital Inpatient Quality Reporting Program over a decade ago, we have 
developed an outcome-focused VTE eCQM, Hospital Harm--Postoperative VTE 
eCQM, as proposed for adoption in section IX.C.3.b. of this proposed 
rule beginning with the FY 2030 payment determination. The Hospital 
Harm--Postoperative VTE eCQM is an outcome measure that builds upon the 
existing process measures and evaluates the incidence of postoperative 
VTE events, assessing the success of the VTE prophylaxis strategies 
measured by the VTE-1 and VTE-2 eCQMs, and thus is more strongly 
associated with desired patient outcomes for this particular topic. It 
also aligns with our efforts to reduce burden and refine the Hospital 
Inpatient Quality Reporting Program's measure set by replacing two 
process measures with a single outcome measure. In addition, the VTE-1 
and VTE-2 eCQMs were retired from The Joint Commission's ORYX[supreg] 
requirements effective CY 2026.327 328 We note that the 
proposed removal of the VTE-1 and VTE-2 eCQMs is contingent upon our 
finalizing the proposal to adopt the Hospital Harm--Postoperative VTE 
eCQM as discussed in section IX.C.3.b. of this proposed rule.
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    \327\ The Joint Commission. (Oct. 2025). 2026 ORYX Performance 
Measurement Reporting Requirements. Available at: https://jointcommission-ddsp.atlassian.net/wiki/spaces/DCS/pages/1030619137/2026+ORYX+Performance+Measurement+Reporting+Requirements.
    \328\ The ORYX initiative integrates performance measurement 
data into The Joint Commission's standards-based survey and 
accreditation process to support hospitals in their quality 
improvement efforts through the continuous monitoring and 
evaluation. For more details on The Joint Commission's 
accreditation, we refer readers to: https://www.jointcommission.org/en-us/accreditation/performance-measurement.
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    We note that we are also proposing to remove the VTE-1 and VTE-2 
eCQMs in the Medicare Promoting Interoperability Program beginning with 
the CY 2028 reporting period. For more information, we refer readers to 
section IX.F.9. of this proposed rule.
    We invite public comment on our proposal to remove the VTE-1 and 
VTE-2 eCQMs beginning with the CY 2028 reporting period/FY 2030 payment 
determination.
b. Proposed Removal of the Discharged on Antithrombotic Therapy 
Electronic Clinical Quality Measure Beginning With the FY 2030 Payment 
Determination
    We refer readers to the FY 2014 IPPS/LTCH PPS final rule where we 
adopted the Discharged on Antithrombotic Therapy (STK-02) eCQM into the 
Hospital Inpatient Quality Reporting Program eCQM measure set for self-
selected reporting beginning with the CY 2014 reporting period (78 FR 
50807 through 50810).\329\ This measure was originally adopted as a 
hart-abstracted measure and was later specified as an eCQM, which we 
adopted as an option for hospitals to self-select (76 FR 51633 through 
51634 and 78 FR 50807 through 50810).\330\ The STK-02 eCQM assesses the 
proportion of patients hospitalized with ischemic stroke who are 
prescribed or continue antithrombotic therapy at the time of hospital 
discharge. We propose to remove the STK-02 eCQM from the Hospital 
Inpatient Quality Reporting Program, beginning with the CY 2028 
reporting period/FY 2030 payment determination under measure removal 
factor 1, measure performance among hospitals is so high and unvarying 
that meaningful distinctions and improvements in performance can no 
longer be made, as described at 42 CFR 412.140(g)(3)(i)(A).\331\
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    \329\ Partnership for Quality Measurement. STK-02: Discharged on 
Antithrombotic Therapy. Available at: https://p4qm.org/measures/0435e.
    \330\ For more details on STK-02 specifications, we refer 
readers to the eCQI Resource Center available at: (https://ecqi.healthit.gov/eh-cah).
    \331\ We refer readers to the FY 2019 IPPS/LTCH PPS final rule 
(83 FR 41540 through 41544) for a summary of the Hospital Inpatient 
Quality Reporting Program's removal factors. Removal factors are 
codified at 42 CFR 412.140(g)(2) and (3) (88 FR 59144).
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    Over four of the most recent reporting periods, hospital 
performance has been so high and unvarying that it meets our criteria 
for ``topped out'' under measure removal factor 1 (83 FR 41540 through 
41544), that is, statistically indistinguishable performance at the 
75th and 90th percentiles, and truncated coefficient of variation 
<=0.10, see Table IX.C.2. Since the STK-02 eCQM is a self-selected 
eCQM, meaning that not all hospitals are required to report it, we 
considered that the topped out status may not reflect national 
performance. However, the number of hospitals reporting on this measure 
has remained consistently high, with approximately two-thirds of the 
Hospital Inpatient Quality Reporting Program-eligible hospitals 
reporting since FY 2023. We therefore believe that the measure results 
represent most hospitals' performance on this measure. Further, the CBE 
recently selected this measure for review for potential removal from 
the Hospital Inpatient Quality Reporting Program as part of the Measure 
Set Review process and ultimately recommended its discontinuation due 
to minimal variation and stable median performance across 
hospitals.\332\ The STK-02 eCQM was also retired from The Joint 
Commission's ORYX[supreg] requirements effective CY 
2026.333 334
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    \332\ Partnership for Quality Measurement (2025). 2025 Measure 
Set Review Draft Meeting Summary. Available at: https://p4qm.org/sites/default/files/2025-11/Del-4-11-2025-MSR-Recommendation-Group-Meeting-Final-Summary-508.pdf.
    \333\ The Joint Commission. (Oct. 2025). 2026 ORYX Performance 
Measurement Reporting Requirements. Available at: https://jointcommission-ddsp.atlassian.net/wiki/spaces/DCS/pages/1030619137/2026+ORYX+Performance+Measurement+Reporting+Requirements.
    \334\ The ORYX initiative integrates performance measurement 
data into The Joint Commission's standards-based survey and 
accreditation process to support hospitals in their quality 
improvement efforts through the continuous monitoring and 
evaluation. For more details on The Joint Commission's 
accreditation, we refer readers to: https://www.jointcommission.org/en-us/accreditation/performance-measurement.

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[[Page 19590]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.165

    Stroke has been and remains a priority topic for quality 
measurement in the hospital inpatient setting for over a decade due to 
its high prevalence and substantial impact on quality of life, 
disability, and death (76 FR 51633 through 51634).\335\ If the STK-02 
eCQM measure is removed from the Hospital Inpatient Quality Reporting 
Program, we will continue to address quality of care for stroke 
patients through the use of other clinical outcome measures. These 
measures include the Hospital 30-Day, All-Cause, Risk Standardized 
Mortality Rate Following Acute Ischemic Stroke (MORT-30-STK) measure, 
which assesses the hospital-level, risk-standardized mortality rate 
after hospital admission for acute ischemic stroke (78 FR 50798 through 
50802, most recently modified at 90 FR 36997 through 37001) as well as 
the remaining two eCQMs that are a part of the stroke measure set, 
including the Anticoagulation Therapy for Atrial Fibrillation (STK-03) 
eCQM and the Antithrombotic Therapy by the End of Hospital Day Two 
(STK-05) eCQM (76 FR 51633 through 51634, 78 FR 50807 through 50810).
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    \335\ Department of Health and Human Services. Heart Disease and 
Stroke. Available at: https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/heart-disease-and-stroke.
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    We note that we are also proposing to remove the STK-02 eCQM in the 
Medicare Promoting Interoperability Program beginning with the CY 2028 
reporting period. For more information, we refer readers to section 
IX.F.9. of this proposed rule.
    We invite public comment on our proposal to remove the STK-02 eCQM 
beginning with CY 2028 reporting period/FY 2030 payment determination.
5. Proposed Modifications to Current Measures in the Hospital Inpatient 
Quality Reporting Program Measure Set
    We propose modifications to three measures that are currently in 
the Hospital Inpatient Quality Reporting Program measure set beginning 
with the July 1, 2024 through June 30, 2026 performance period, 
associated with the FY 2028 payment determination: (1) Excess Days in 
Acute Care after Hospitalization for Acute Myocardial Infarction 
measure; (2) Excess Days in Acute Care after Hospitalization for Heart 
Failure measure; and (3) Excess Days in Acute Care after 
Hospitalization for Pneumonia measure.
a. Proposed Modifications to Three Excess Days in Acute Care Measures
(1) Background
    In the FY 2016 IPPS/LTCH PPS final rule (80 FR 49660 through 
49690), we began including excess days in acute care quality measures 
in the Hospital Inpatient Quality Reporting Program to capture the 
quality of care transitions provided to discharged patients. The 
previously finalized EDAC measures are summarized:
     Excess Days in Acute Care after Hospitalization for Acute 
Myocardial Infarction (AMI EDAC) measure (adopted at 80 FR 49680 
through 49690; modified at 87 FR 49269 through 49272).
     Excess Days in Acute Care after Hospitalization for Heart 
Failure (Heart Failure EDAC) measure (adopted at 80 FR 49682 through 
49690).
     Excess Days in Acute Care after Hospitalization for 
Pneumonia (Pneumonia EDAC) (adopted at 81 FR 57142 through 57148).
    For more details on these EDAC measures, we refer readers to the 
EDAC measures updates and specifications reports available at: https://qualitynet.cms.gov/inpatient/measures/edac.
    Since adoption into the Hospital Inpatient Quality Reporting 
Program, these EDAC measures have contributed to our assessment of care 
coordination and patient outcomes, providing a broader view of quality 
of care than can be captured by individual process-of-care measures. 
Safely transitioning patients from hospital to home requires a complex 
series of tasks which would be cumbersome to capture individually as 
process measures: timely and effective communication between providers, 
prevention of and response to complications, patient education about 
post-discharge care and self-management, timely follow-up, and 
more.336 337 Suboptimal transitions contribute to a variety 
of adverse events post-discharge that result in patients returning to 
the hospital.\338\ When these EDAC measures were adopted into the 
Hospital Inpatient Quality Reporting Program measure set, they only 
included Medicare Fee-For-Service beneficiaries in the measure cohorts. 
Since the initial adoption of these measures, the proportion of 
Medicare Advantage beneficiaries has increased from 35 percent of the 
Medicare population to over 50 percent.\339\ Omitting Medicare 
Advantage beneficiaries from quality reporting leaves a critical gap in 
assessing acute events, care transitions, and avoidable acute 
utilization among a large population of Medicare beneficiaries. 
Capturing care transition outcomes for all Medicare beneficiaries for 
these acute conditions continues to be a high priority for CMS. We note 
that returns to the ED, observation stays, or unplanned readmissions 
are disruptive to patients and caregivers, costly to the healthcare 
system, and put patients at additional risk of hospital-acquired 
infections and complications.\340\ Therefore, we propose to adopt 
modifications to the AMI, Heart Failure, and Pneumonia EDAC measures

[[Page 19591]]

beginning with the July 1, 2024 through June 30, 2026 performance 
period, which is associated with the FY 2028 payment determination. We 
also refer readers to section IX.C.3.a. of this FY 2027 IPPS/LTCH PPS 
proposed rule where we propose to add the Diabetes EDAC measure into 
the Hospital Inpatient Quality Reporting Program.
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    \336\ Tyler, N., Hodkinson, A., Planner, C., Angelakis, I., 
Keyworth, C., Hall, A., Panagioti, M. (2023). Transitional care 
interventions from hospital to community to reduce health care use 
and improve patient outcomes: A systematic review and network meta-
analysis. JAMA Network Open, 6(11), e2344825. Available at: https://doi.org/10.1001/jamanetworkopen.2023.44825.
    \337\ Balasubramanian, I., Andres, E. B., & Malhotra, C. (2025). 
Outpatient Follow-Up and 30-Day Readmissions: A Systematic Review 
and Meta-Analysis. JAMA Network Open, 8(11), e2541272-e2541272. 
Available at: https://doi.org/10.1001/jamanetworkopen.2025.41272.
    \338\ Tyler, N., Hodkinson, A., Planner, C., Angelakis, I., 
Keyworth, C., Hall, A., Panagioti, M. (2023). Transitional care 
interventions from hospital to community to reduce health care use 
and improve patient outcomes: A systematic review and network meta-
analysis. JAMA Network Open, 6(11), e2344825. Available at: https://doi.org/10.1001/jamanetworkopen.2023.44825.
    \339\ Centers for Medicare & Medicaid Services. (2025). Medicare 
Enrollment Dashboard. Available at: https://data.cms.gov/tools/medicare-enrollment-dashboard.
    \340\ CMS QualityNet. Excess Days in Acute Care (EDAC) Measures 
Overview. Available at: https://qualitynet.cms.gov/inpatient/measures/edac.
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(2) Overview of Proposed Updates to Measures
    We propose to modify the AMI, Heart Failure, and Pneumonia EDAC 
measures with two substantive updates: (1) expand the measure inclusion 
criteria to include Medicare Advantage beneficiaries; and (2) shorten 
the performance period from 3 years to 2 years. Inclusion of Medicare 
Advantage beneficiaries expands quality measurement of care 
coordination outcomes across all Medicare beneficiaries, enhances the 
reliability of the measure scores, leads to more hospitals receiving 
results, and increases the chance of identifying meaningful differences 
in quality for some low-volume hospitals. Based on our analysis that 
included Medicare Advantage beneficiaries in addition to the Medicare 
Fee-For-Service measure cohort, we found that the measures could 
achieve a satisfactory level of reliability with a 2-year reporting 
period. Table IX.C.3. summarizes the reliability scores for the three 
modified EDAC measures for the CY 2022 through CY 2023 reporting period 
with the inclusion of Medicare Advantage beneficiaries: \341\
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    \341\ 2024 Excess Days in Acute Care Measures Updates and 
Specifications Report. Available at: https://www.p4qm.org/prmr-measures/muc2025-030.
[GRAPHIC] [TIFF OMITTED] TP14AP26.166

    The mean reliability for each of the EDAC measures exceeds the CBE 
established minimum of 0.6.\342\ We therefore propose to shorten the 
reporting period from 3 to 2 years for the modified EDAC measures in 
order to provide hospitals, consumers, and other members of the public 
with more recent measure information.
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    \342\ For more details on reliability guidance, we refer readers 
to the Reliability Guidance for the Endorsement and Maintenance of 
Clinical Quality Measures Document. Available at: https://p4qm.org/em/resources.
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    These measures capture the quality of care transitions provided to 
discharged patients hospitalized with AMI, heart failure, or pneumonia 
by collectively measuring different types of returns to the hospital 
(ED visit, observation stay, or readmission), which are all adverse 
acute care outcomes that can occur post-discharge. With the increase in 
Medicare Advantage beneficiaries to over half of all Medicare 
beneficiaries, these modifications would better reflect overall patient 
care coordination among a broader population of patients, improving 
measure reliability. Shortening the reporting period would allow 
measure results to reflect more recent hospital performance and provide 
more actionable insights for quality improvement.
(3) Measure Calculation
    The modified AMI, Heart Failure, and Pneumonia EDAC measures would 
continue to assess the number of days the patient spends in acute care 
within 30 days post-discharge from an inpatient hospitalization with a 
principal diagnosis of AMI, heart failure, or pneumonia. The measures 
adjust for factors including patient age, comorbid diseases, and 
indicators of patient frailty.\343\ The hospital-level 30-day all-cause 
EDAC for each measure is a risk adjusted calculation using a random-
effects binomial model which calculates the difference, or excess days, 
between a hospital's predicted days (the average number of days a 
patient spent in acute care after adjusting for the risk factors) and 
expected days (the average number of risk adjusted days in acute care a 
patient would have been expected to spend if discharged from an 
average-performing hospital with the same case mix) per 100 discharges. 
Unplanned readmissions are defined using the planned readmission 
algorithm.\344\
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    \343\ QualityNet. Excess Days in Acute Care Measures 
Methodology. Available at: https://qualitynet.cms.gov/inpatient/measures/edac/methodology.
    \344\ Details regarding the planned readmission algorithm can be 
found in a zip file on the CMS Measure Methodology site, available 
at: https://www.cms.gov/medicare/quality/initiatives/hospital-quality-initiative/measure-methodology.
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(a) Numerator
    The numerator of the measure is a count of the number of days the 
patient spends in acute care within 30 days of discharge from an 
eligible index hospitalization for AMI, heart failure, or pneumonia. We 
define days in acute care as days spent in an ED, an observation stay, 
or admitted as an unplanned readmission for any cause to a short-term 
acute care hospital, within 30 days from the date of discharge from the 
index hospitalization. ED visits are counted as one whole day, 
regardless of how many hours the patient spends in the ED or whether 
the ED visit crosses more than one calendar date. Observation stays are 
counted by hours and rounded up to the nearest whole day.\345\
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    \345\ QualityNet. Excess Days in Acute Care Measures 
Methodology. Available at: https://qualitynet.cms.gov/inpatient/measures/edac/methodology.
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(b) Denominator
    To be included in the measure cohort, patients must meet the 
following inclusion criteria:
     Have a principal discharge diagnosis of AMI, heart 
failure, or pneumonia;
     Enrolled in Medicare Fee-For-Service Part A and Part B or 
Medicare Advantage for 12-months prior to the date of admission and 
enrolled in Part A or Medicare Advantage during the index admission; 
\346\
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    \346\ This requirement is not applicable to Veterans Health 
Administration (VHA) beneficiaries hospitalized in VHA hospitals, 
who are eligible for inclusion in the cohort regardless of their 
Medicare enrollment status. VHA beneficiaries hospitalized in non-
VHA hospitals must be concurrently enrolled in Medicare Fee-For-
Service Part A or Medicare Advantage at the time of the index 
admission to be eligible for cohort inclusion.
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     Aged 65 or older;
     Discharged alive from a non-federal short-term acute care 
hospital or Veterans Health Administration hospital; and
     Not transferred to another acute care facility.

[[Page 19592]]

    For more detailed measure specifications, including denominator 
exclusions for each condition, we refer readers to the EDAC measure 
methodology reports available at: https://qualitynet.cms.gov/inpatient/measures/edac/methodology.
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    \347\ Partnership for Quality Management. Pre-Rulemaking Measure 
Review web page. Available at: https://p4qm.org/prmr/about.
    \348\ We note the Pre-Rulemaking Measure Review voting process 
was updated in 2025. We refer readers to the corresponding footnote 
in section IX.C.3.a.(4).(a). of this proposed rule for details on 
the updated Pre-Rulemaking Measure Review voting process.
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(4) Pre-Rulemaking Process and Measure Endorsement
(a) Recommendations From the Pre-Rulemaking Measure Review Process
    We refer readers to the Partnership for Quality Measurement website 
for details on the Pre-rulemaking Measure Review process convened by 
the CBE, including the voting procedures used to reach consensus on 
measure recommendations.347 348 The Pre-rulemaking Measure 
Review Hospital Committee, consisting of both the Pre-Rulemaking 
Measure Review Hospital Recommendation Group (hereafter referred to as 
the Recommendation Group) and the Pre-Rulemaking Measure Review 
Hospital Advisory Group, met on January 12 and 13, 2026, to review 
measures included by the Secretary on the publicly available ``2025 
Measures Under Consideration List,'' including the AMI EDAC (MUC2025-
030), Heart Failure EDAC (MUC2025-031), and Pneumonia EDAC (MUC2025-
039) measures.\349\
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    \349\ Centers for Medicare & Medicaid Services. (2025). 2025 
Measures Under Consideration List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports/overview.
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    The voting results of the Recommendation Group for the proposed 
modifications to the AMI EDAC measure were: 18 members (86 percent) 
recommended adopting the measure into the Hospital Inpatient Quality 
Reporting Program; three members (14 percent) voted not to recommend 
the measure for adoption. The voting results for the proposed 
modifications to the Heart Failure EDAC measure were: 19 members (90 
percent) recommended adopting the measure into the Hospital Inpatient 
Quality Reporting Program; two members (10 percent) voted not to 
recommend the measure for adoption. The voting results for the proposed 
modifications to the Pneumonia EDAC measure were: 19 members (90 
percent) recommended adopting the measure into the Hospital Inpatient 
Quality Reporting Program; two members (10 percent) voted not to 
recommend the measure for the adoption. Thus, the Recommendation Group 
reached consensus agreement to recommend the AMI EDAC, Heart Failure 
EDAC, and Pneumonia EDAC measures for use in the Hospital Inpatient 
Quality Reporting Program.\350\
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    \350\ Partnership for Quality Measurement. (February 2026). 
2025-2026 Pre-Rulemaking Measure Review Recommendations Report. 
Available at: https://p4qm.org/prmr/news-events.
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    Overall, the Recommendation Group supported the addition of 
Medicare Advantage beneficiaries and the reduction of the performance 
period from 3 years to 2 years, noting these changes improved the 
comprehensiveness and timeliness of reporting. The Recommendation Group 
members who recommended these measures suggested adding risk adjustment 
factors for medically underserved and rural areas, where limited access 
to post-acute services may affect readmissions beyond a hospital's 
control. Recommendation Group members who voted not to recommend 
adoption of the measure for the Program provided the following 
rationales: (1) concerns that the 30-day post-discharge window may not 
be appropriate; and (2) concerns regarding AMI EDAC measure's 
complexity, diagnosis set, and the risk adjustment approach.
    Regarding the suggestion to add additional risk adjustment factors, 
in alignment with other readmission measures, we do not adjust the EDAC 
measures for rurality or medically underserved populations. We note 
that Critical Access Hospitals (CAHs), which serve higher proportions 
of rural and medically underserved populations, are not required to 
report to the Hospital Inpatient Quality Reporting Program.\351\ We 
also note that EDAC measures are risk-standardized for patient 
demographics and comorbidities, which helps account for varying health 
complexities. Further, we would continue to provide hospitals with 
patient-level information to help inform quality improvement efforts 
that can be targeted to specific patient populations. We would continue 
to monitor the measures' performance as part of our routine monitoring 
and evaluation efforts to identify potential unintended consequences.
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    \351\ CMS. Critical Access Hospitals. Available at: https://www.cms.gov/medicare/health-safety-standards/certification-compliance/critical-access-hospitals.
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    We note that the 30-day timeframe is consistent with the existing 
measure specifications that have been endorsed by a CBE and publicly 
reported. In addition, the EDAC measures were originally designed to 
complement condition specific 30-day readmission measures for the same 
conditions and therefore the 30-day outcome window is aligned. The 30-
day timeframe allows for a more complete reflection of the hospital's 
discharge plan which includes follow-up, care coordination, and patient 
self-management education.
    Regarding the AMI EDAC measure specifically, Recommendation Group 
members expressed concerns regarding its complexity and relatively 
narrow diagnosis set, noting a preference for other metrics to assess 
AMI care. While statistically complex, the AMI EDAC risk-model was 
determined by the CBE to indicate an effective model discrimination for 
a readmission-type measure with a c-statistic \352\ of 0.68, and 
predictive ability \353\ of 1.4 percent to 10.1 percent. Further, the 
measure developer considered threats to validity during measure 
development and testing of a risk adjustment model. The measure is risk 
adjusted for patient functional status (frailty indicator), patient-
level demographics (age), and patient-level health status and clinical 
conditions (case-mix adjustment, comorbidities, and severity of 
illness). The results of model discrimination testing and calibration 
using the c-statistic and examining predictive ability suggest that the 
model effectively differentiates excess days in acute care after 
hospitalization for heart failure levels and adequately adjusts for 
differences in patient characteristics.\354\
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    \352\ The c-statistic is an indicator of the model's 
discriminant ability or ability to correctly classify those patients 
who have and have not had a qualifying event within 30 days. 
Potential values range from 0.5, meaning no better than chance, to 
1.0, an indication of perfect prediction. The CBE has determined 
that for readmission-type measures, a c-statistic of 0.68 is 
considered an effective model of discriminant ability. We refer 
readers to the ``2024 Excess Days in Acute Care Measures Updates and 
Specifications Report,'' available at: https://www.p4qm.org/prmr-measures/muc2025-030 for more details.
    \353\ Predictive ability measures the ability to distinguish 
high-risk subjects from low-risk subjects. A model with good 
predictive ability would see a wide range in observed outcomes 
between lowest and highest deciles of predicted outcomes. We have 
calculated the range of mean observed hospital ratios between the 
lowest and highest deciles of hospital visit probabilities. We refer 
readers to the ``2024 Excess Days in Acute Care Measures Updates and 
Specifications Report,'' available at: https://www.p4qm.org/prmr-measures/muc2025-030 for more details.
    \354\ PQM. 2025 Pre-Rulemaking Measure Review Preliminary 
Assessment: AMI EDAC. Available at: https://www.p4qm.org/sites/default/files/2025-12/MUC2025-030-PA.pdf.
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    Recommendation Group members highlighted potential shortcomings in 
the current risk adjustment approach for the AMI EDAC measure, 
particularly the

[[Page 19593]]

comorbidity adjustment for non-ST-segment elevation myocardial 
infarction (NSTEMI) cases. The measure developer used an empirical 
approach for the selection of risk variables included in adjustments 
for hospital-level case mix. The index and history (pre-index) codes 
were selected based on their prevalence and the index and pre-index 
variables were combined based on their correlation with each other and 
their associations with the outcome. For AMI EDAC, ST-segment elevation 
myocardial infarction (STEMI) involving the right and left coronary 
arteries occurring in the 12 months prior to the index admission were 
identified as risk adjustment variables, while NSTEMI was not 
identified. Clinically, STEMI presents a more severe form of myocardial 
infarction for which aggressive interventions are required in a short 
period of time. Additionally, we wish to emphasize we have conducted 
extensive evaluation of the proposed updated risk adjustment 
methodology and the updated risk methodology shows significant 
improvements from the previous model. We refer readers to Table 
IX.C.4., in section IX.C.5.a.(6)., for more details on the technical 
updates to the risk adjustment methodology for the three modified EDAC 
measures.
    After taking these recommendations and concerns into consideration, 
we propose to modify the three EDAC measures in the Hospital Inpatient 
Quality Reporting Program beginning with the FY 2028 payment 
determination.
(b) Measure Endorsements
    We refer readers to the Partnership for Quality Measurement website 
for details on the measure endorsement and maintenance process, 
including the measure evaluation procedures the Endorsement and 
Maintenance Committees use to evaluate measures and whether they meet 
endorsement criteria. The Heart Failure EDAC (CBE #2880) and Pneumonia 
EDAC (CBE #2882) measures were last endorsed in the Spring 2021 CBE 
review cycle and are planned for maintenance review in the Fall 2027 
cycle.355 356 The updated AMI EDAC (CBE #2881) measure, 
which included the addition of Medicare Advantage beneficiaries, was 
most recently submitted to the CBE's Endorsement and Maintenance Cost 
and Efficiency Committee in the Spring 2025 review cycle. The 
Endorsement and Maintenance Cost and Efficiency Committee voted to 
endorse the AMI EDAC measure with conditions. The condition imposed was 
for the measure developer to empirically explore the differences with 
outpatient visits and post-hospitalizations for Medicare Advantage 
beneficiaries compared to Fee-For-Service beneficiaries when the 
measure returns in five years for maintenance endorsement in the Spring 
2030 cycle.357 358
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    \355\ Batelle. PQM. Excess days in acute care (EDAC) after 
hospitalization for pneumonia. Available at: https://www.p4qm.org/measures/2882.
    \356\ Batelle. PQM. Excess days in acute care (EDAC) after 
hospitalization for heart failure (HF). Available at: https://www.p4qm.org/measures/2880.
    \357\ Battelle. Excess days in acute care (EDAC) after 
hospitalization for acute myocardial infarction (AMI). Available at: 
https://www.p4qm.org/measures/2881.
    \358\ Battelle. (November 2025). Draft Spring 2025 Cycle 
Endorsement and Maintenance Technical Report: Cost and Efficiency. 
Available at: https://p4qm.org/sites/default/files/Cost%20and%20Efficiency/material/Cost-Efficiency-Spring-2025-Technical-Report.pdf.
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(5) Data Source, Submission, and Public Reporting
    The modified EDAC measures would be calculated using administrative 
data from Medicare Fee-For-Service claims or Medicare Advantage 
encounters, or both. This data is routinely generated by hospitals and 
submitted to CMS for all Medicare beneficiaries, which includes 
Medicare Advantage and Medicare Fee-For-Service beneficiaries. 
Therefore, a hospital would not be required to report any additional 
data for this measure. Enrollment status would be obtained from the 
Medicare Enrollment Database which contains beneficiary demographic, 
benefit/coverage, and vital status information. The proposed modified 
EDAC measures would be calculated and publicly reported on an annual 
basis using 24 months of prior data for the measurement period. We 
would then publicly report the measures results on the Compare tool, 
currently available at: https://www.medicare.gov/care-compare/, or 
successor CMS website.
    We invite public comment on our proposal to modify the AMI, Heart 
Failure and Pneumonia EDAC measures to include Medicare Advantage 
patients in the measure cohort and reduce the performance period from 3 
years to 2 years, beginning with the July 1, 2024 through June 30, 2026 
performance period, associated with the FY 2028 payment determination.
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    \359\ QualityNet. 2025 Condition-Specific Excess Days in Acute 
Care Measures Updates and Specifications Report: AMI, HF, and 
Pneumonia. Available at: https://qualitynet.cms.gov/inpatient/measures/edac/methodology.
    \360\ 2024 Excess Days in Acute Care Measures Updates and 
Specifications Report. Available at: https://www.p4qm.org/prmr-measures/muc2025-030.
    \361\ QualityNet. 2025 Condition-Specific Excess Days in Acute 
Care Measures Updates and Specifications Report: AMI, HF, and 
Pneumonia. Available at: https://qualitynet.cms.gov/inpatient/measures/edac/methodology.
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(6) Technical Updates
    We are also notifying the public of technical updates to the three 
EDAC measures' risk adjustment methodology in the Hospital Inpatient 
Quality Reporting Program, beginning with the FY 2028 payment 
determination, to use individual International Classification of 
Diseases, Tenth Revision (ICD-10) codes to improve the measure's risk 
adjustment methodology. The risk adjustment strategy currently in use 
involves grouping ICD-10 diagnosis codes from the CMS Hierarchical 
Condition Categories (HCC) system into clinically relevant 
categories.\359\ We recently notified hospitals of the same technical 
update to our risk adjustment model to use individual ICD-10 codes 
instead of HCCs for two measures--MORT-30-STK and COMP-HIP-KNEE--in the 
Hospital Inpatient Quality Reporting Program to better leverage the 
data and analytical advances since these measures were initially 
developed (90 FR 36997 through 37008). With this new approach, the 
ability of the risk adjustment model to account for condition-specific 
risk improved. See Table IX.C.4. for a summary of improvements to the 
risk adjustment model performance for the three modified EDAC measures 
in the Hospital Inpatient Quality Reporting Program.360 361
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6. Summary of Previously Finalized and Proposed Hospital Inpatient 
Quality Reporting Program Measures
    This table IX.C.5. summarizes the previously finalized and newly 
proposed Hospital Inpatient Quality Reporting Program measures for the 
FY 2028 to FY 2031 payment determinations, which would remove the STK-
02, VTE-1, and VTE-2 eCQMs discussed in section IX.C.4. of this 
proposed rule; modify three EDAC measures as discussed in section 
IX.C.5. of this proposed rule; add the Diabetes EDAC measure and the 
Hospital Harm--Postoperative VTE eCQM as discussed in section IX.C.3. 
in this proposed rule; and add the Advance Care Planning eCQM and five 
mortality measures as discussed in section IX.B.1. and IX.B.2. of this 
proposed rule:

[[Page 19595]]

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[[Page 19597]]


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7. Future Considerations
    We seek to develop a comprehensive set of quality measures to be 
widely available for informed decision-making and quality and cost 
improvements in the hospital inpatient setting. We have identified 
potential future measures that are focused on topics that are of 
importance to interested parties, but that are not currently included 
in the Hospital Inpatient Quality Reporting Program's measure set. We 
refer readers to section IX.B.3. for our request for comment on 
``Measuring Emergency Care Access and Timeliness in Hospital Inpatient 
Quality Reporting and Value-Based Purchasing Programs--Request for 
Information'' and section IX.B.4. for our request for comment on 
``Potential Future Use of the Adult Community-Onset Sepsis Standardized 
Mortality Ratio Measure in the Hospital Inpatient Quality Reporting 
Program--Request for Information''.
    We are also soliciting comments on our anticipated approach to 
potential scoring methodologies for the next phase of our Birthing 
Friendly Hospital designation. We will consider feedback we receive as 
we determine how best to further develop and refine the Hospital 
Inpatient Quality Reporting Program's measure set and to advance other 
quality improvement efforts that address important patient safety and 
health care quality topics.
a. Birthing-Friendly Hospital Designation Modification To Expand 
Designation Criteria--Request for Information
    In this request for information (RFI), we seek public input on 
potential modifications to the Birthing-Friendly Hospital Designation 
which was adopted in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49284 
through 49290). In the FY 2023 IPPS/LTCH PPS final rule, we noted our 
intent to expand the Birthing-Friendly Hospital Designation with a more 
robust set of metrics in future years, and we intended for those 
additional metrics to potentially be derived from maternal care quality 
measures from the Hospital Inpatient Quality Reporting Program. This 
RFI aims to gather broad public input on: (1) the inclusion of the 
Cesarean Birth eCQM and the Severe Obstetric Complications eCQM in the 
criteria for awarding the Birthing-Friendly Hospital Designation; and 
(2) a modified scoring methodology developed for the expanded 
designation.
(1) Background
    The Birthing-Friendly Hospital Designation (hereinafter referred to 
as ``the Designation''), was created to identify hospitals that 
demonstrate the delivery of high-quality maternal care and a commitment 
to improving maternal health outcomes (87 FR 49284 through 49290). 
Despite the highest rate of spending on maternity care, maternal 
morbidity and mortality rates in the United States are high compared to 
other high-income countries. Every year in the United States, 
approximately 700 women die of complications related to pregnancy and 
childbirth, and over 25,000 women experience severe complications of 
pregnancy (severe maternal morbidity).362 363 Approximately 
one-third of all pregnancy-related deaths occur at the time of delivery 
and immediately postpartum, with nearly 20 percent occurring between 
one and six days postpartum.\364\ Yet, three out of five pregnancy-
related deaths are considered preventable.\365\
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    \362\ Peterson EE et al. Vital Signs: Pregnancy-Related Deaths, 
United States, 2011-2015, and Strategies for Prevention, 13 States, 
2013-2017. MMWR Morbidity and Mortality Weekly Report 2019;68:423-
29.
    \363\ Maternal and Child Health Bureau. Federally Available Data 
(FAD) Resource Document. Health Resources and Services 
Administration. Available at: https://mchb.tvisdata.hrsa.gov/Admin/FileUpload/DownloadContent?fileName=FadResourceDocument.pdf&isForDownload=False.

    \364\ Davis N.L., Smoots A.N., and Goodman D.A. (2019). 
Pregnancy-Related Deaths: Data from 14 U.S. Maternal Mortality 
Review Committees, 2008-2017. Available at: https://archive.cdc.gov/www_cdc_gov/reproductivehealth/maternal-mortality/erase-mm/MMR-Data-Brief_2019-h.pdf.
    \365\ The Centers for Disease Control and Prevention. Pregnancy-
Related Deaths in the United States. September 2021. Available at: 
https://www.cdc.gov/hearher/pregnancy-related-deaths/index.html.
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    We believe the Designation is an important way to advance maternal 
care quality for patients and families and represents our sustained 
commitment to improving health outcomes. Interested parties expressed 
support for the Designation as a meaningful step to promote 
transparency and improve maternal health outcomes. When we proposed the 
Designation in the FY 2023 IPPS/LTCH PPS proposed rule, many commenters 
recommended using additional data to determine which hospitals would 
receive the Designation, including data from the Cesarean Birth and 
Severe Obstetric Complications eCQMs, rather than just the Maternal 
Morbidity Structural measure data (87 FR 49284 through 49290).
    The Designation was created to be a consumer-friendly, publicly 
reported display signaling a hospital's commitment to improving 
maternal health. Hospitals that are awarded the Designation receive a 
Birthing-Friendly icon on the Compare tool on Medicare.gov. The 
Designation was first displayed on the Compare tool in Fall 2023 using 
CY 2022 data. Geocoded information of Birthing-Friendly hospitals and 
health systems is available at: https://data.cms.gov/provider-data/birthing-friendly-hospitals-and-health-systems.
(2) Current Birthing-Friendly Hospital Designation Methodology
    Currently, the Designation is comprised of the Maternal Morbidity 
Structural measure adopted in the FY 2022 IPPS/LTCH PPS final rule (86 
FR 45361 through 45365). The Maternal Morbidity Structural measure is 
an attestation-based measure which includes one attestation, currently 
specified as a two-part question, that captures whether hospitals are: 
(1) currently participating in a structured state or national Perinatal 
Quality Improvement (QI) Collaborative; and (2) implementing patient 
safety practices or bundles as part of these QI initiatives.\366\ In 
reporting this measure, hospitals answer ``yes,'' ``no,'' or ``not 
applicable (our hospital does not provide inpatient labor/delivery 
care)''.\367\ The Designation is given to hospitals that report ``yes'' 
for the Maternal Morbidity Structural measure. The current version of 
the Maternal Morbidity Structural measure specifications is available 
at: https://qualitynet.cms.gov/inpatient/iqr/measures#tab2. We note in 
section IX.C.8.d.(1). of the preamble of this proposed rule where we 
are proposing to update the reporting requirements of the Maternal 
Morbidity Structural measure beginning with the CY 2026 reporting 
period/FY 2028 payment determination.
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    \366\ Centers for Medicare & Medicaid Services. Cross-Cutting 
Initiative: CMS Maternity Care Action Plan. 2022. Available at: 
https://www.cms.gov/files/document/cms-maternity-care-action-plan.pdf.
    \367\ To report on this measure, hospitals will respond to a 
two-part question: ``Does your hospital or health system participate 
in a Statewide and/or National Perinatal Quality Improvement 
Collaborative Program aimed at improving maternal outcomes during 
inpatient labor, delivery and postpartum care, and has it 
implemented patient safety practices or bundles related to maternal 
morbidity to address complications, including, but not limited to, 
hemorrhage, severe hypertension/preeclampsia or sepsis?.'' Further 
details on this measure can be found in the FY 2022 IPPS/LTCH PPS 
final rule at 86 FR 45361 through 45365.
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(3) Potential Modifications to the Birthing-Friendly Hospital 
Designation
    Potential modifications to the Designation would include 
incorporating hospital performance on

[[Page 19598]]

two additional maternal care quality outcome measures: (1) the Cesarean 
Birth eCQM and (2) the Severe Obstetric Complications eCQM. These two 
eCQMs aim to reduce the occurrence of cesarean deliveries and maternal 
complications, thereby improving maternal health outcomes and quality 
of life. Incorporating guidance from a TEP, we developed a potential 
new scoring methodology for the Designation that aggregates these two 
measures into a composite score to meaningfully summarize hospital 
maternal health performance and to determine hospital performance on 
the Designation.
(a) Expanding the Birthing-Friendly Hospital Designation To Include the 
Cesarean Birth and the Severe Obstetric Complications Electronic 
Clinical Quality Measures
    The Cesarean Birth eCQM is an outcome measure that assesses the 
proportion of cesarean deliveries to nulliparous women (women giving 
birth for the first time) who delivered at 37 weeks' gestation or later 
with a live singleton baby (a single baby) in a vertex position (head-
down). The hospital-level score is calculated as a proportion, for 
which a lower proportion is better; however, since cesarean delivery is 
a warranted emergency intervention in certain situations, scores are 
not expected, nor desired, to approach zero. For further details on the 
measure methodology, we refer readers to the methodology report 
available at: https://manual.jointcommission.org/releases/TJC2023B/MIF0167.html. The measure became mandatory for all hospitals 
participating in the Hospital Inpatient Quality Reporting and Medicare 
Promoting Interoperability Programs beginning with the CY 2024 
reporting period (87 FR 49298 through 49302; 87 FR 49361 through 
49364).
    The Severe Obstetric Complications eCQM is a risk-standardized 
measure that assesses severe maternal morbidity events and mortality 
during delivery hospitalizations for patients greater than or equal to 
8 years and less than 65 years of age delivering stillborn or a live 
birth at greater than or equal to 20 weeks' gestation. The measure 
evaluates two outcomes: (1) any severe obstetric complications (as 
specified), and (2) severe obstetric complications excluding encounters 
for which blood transfusion was the only numerator event. For both 
outcomes, the hospital-level score is reported as a rate per 10,000 
delivery hospitalizations, for which a lower score is better. For 
further details on the measure methodology, we refer readers to the 
methodology report available at: https://ecqi.healthit.gov/sites/default/files/SevereObstetricComplications%20eCQM_Methodology%20Report%20-%20Dec%202022.pdf. The measure became mandatory for all hospitals 
participating in the Hospital Inpatient Quality Reporting and Medicare 
Promoting Interoperability Programs beginning with the CY 2024 
reporting period (87 FR 49298 through 49302; 87 FR 49361 through 
49364).
(b) Potential New Scoring Methodology
    Following careful assessment of various scoring approaches, we 
determined the composite score approach with k-means clustering to be a 
strong approach for calculating hospital Designation scores. The 
composite score approach with k-means clustering enables a tiered 
approach to award the Designation, thus allowing for a range of 
hospital performance while still recognizing high-performing hospitals. 
In addition, this approach allows for differential weighting, enabling 
more outcome related measures to have a stronger influence on the 
overall performance scores. This approach is similar to that used in 
the Overall Hospital Quality Star Rating methodology (85 FR 86193 
through 86236).\368\
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    \368\ Available at: https://data.cms.gov/provider-data/topics/hospitals/overall-hospital-quality-star-rating/.
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    To be eligible for the expanded Designation, hospitals would have 
to attest positively to the Maternal Morbidity Structural measure and 
report on both maternal outcome measures (Cesarean Birth and Severe 
Obstetric Complications eCQMs). Positive attestation to the Maternal 
Morbidity Structural measure would be required for Designation 
eligibility and would serve as a prerequisite to obtaining the 
Designation. Once hospital eligibility is determined, the methodology 
for aggregating hospital scores for the two maternal outcome measures 
into a composite and scoring for the Designation would include a series 
of steps. First, the direction of measure scores is changed so that a 
higher score indicates better performance for all the measures. Second, 
measure scores that do not follow a normal distribution are normalized 
by applying a log transformation, and then the data are standardized 
using Z-scores \369\ to enable aggregation on a common scale. Third, 
measure scores are multiplied by assigned weights. The Cesarean Birth 
eCQM is assigned a 45 percent weight. The two outcomes for the Severe 
Obstetric Complications eCQM are assigned weights that sum to 55 
percent: 18 percent for any severe obstetric complications, and 37 
percent for severe obstetric complications excluding encounters for 
which blood transfusion was the only numerator event. The higher 
weighting of the Severe Obstetric Complications eCQM was selected 
because it prioritizes the occurrence of severe obstetric complications 
and elevates attention to reducing maternal morbidity. Furthermore, the 
differential weighting among the two Severe Obstetric Complications 
eCQM outcomes was selected to prioritize the outcome excluding blood 
transfusion-only encounters, as these encounters may represent lesser 
severity than the other specified obstetric complications. Fourth, 
weighted measure scores are aggregated to generate the composite score 
for each hospital. Fifth, hospitals are grouped into four peer groups 
based on the delivery volume for that hospital during the performance 
period (less than or equal to 500 deliveries, 501 to 1000 deliveries, 
1001 to 2000 deliveries, and greater than 2000 deliveries). Peer 
grouping by hospital delivery volume supports comparison of hospitals 
with obstetric units of similar scale. Sixth, a statistical clustering 
algorithm (k-means clustering) is applied within each peer group to 
assign hospitals with similar composite scores to one of three clusters 
representing levels of maternal care quality. For details of this 
potential future modified measure methodology for scoring an expanded 
Designation, we refer readers to the draft methodology report, 
available at: https://qualitynet.cms.gov/inpatient/iqr/proposedmeasures.
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    \369\ Z-score standardization is a commonly used approach that 
translates hospital results into a common scale, indicating how each 
hospital's performance compares with the overall average. This 
approach helps reduce the impact of extreme values and differences 
in scoring methods, while supporting fair and consistent comparisons 
across hospitals.
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(c) Awarding the Birthing-Friendly Hospital Designation
    For the current Birthing-Friendly Hospital Designation, hospitals 
receive the Designation for positively attesting to the Maternal 
Morbidity Structural measure. The potential new scoring methodology 
described previously would introduce a tiered approach to awarding the 
Designation by performance relative to other hospitals on multiple 
maternal quality measures, and shifts away from a binary approach that 
only identifies hospitals as ``Birthing-Friendly'' or, by default, as 
``non-Birthing-Friendly.'' The potential new approach considers the 
range in maternal care performance among labor and delivery hospitals 
and allows for recognition of the highest-performing

[[Page 19599]]

hospitals. As positive attestation to the Maternal Morbidity Structural 
measure would serve as a prerequisite to receiving the Designation, 
hospitals currently awarded the Designation could maintain ``Birthing-
Friendly'' status.
    Within delivery volume peer groups, hospitals would be assigned to 
one of three clusters based on composite score, where cluster three 
consists of hospitals with the highest level of performance (highest 
composite scores) and cluster one consists of hospitals with the lowest 
level of performance (lowest composite scores). Each cluster would be 
represented by a corresponding number of Birthing-Friendly icons 
(similar to a star rating) such that hospitals in cluster one would be 
identified with one Birthing-Friendly icon (identifying the lowest 
performing hospitals), hospitals in cluster two would be identified 
with two Birthing-Friendly icons, and hospitals in cluster three would 
be identified with three Birthing-Friendly icons (identifying the top 
performing hospitals).
    The use of peer grouping by hospital delivery volume to award the 
Designation allows for comparison of like hospitals, grouping 
facilities with obstetric units of similar scale. Other variables for 
peer grouping the Designation were considered, with particular 
attention to using Maternal Levels of Care in anticipation that 
hospitals providing different levels of care vary in patient case mix. 
The Maternal Levels of Care, a classification system developed by the 
American College of Obstetricians and Gynecologists and Society for 
Maternal-Fetal Medicine to support risk-appropriate maternal care 
delivery, is used to classify hospitals providing labor and delivery 
services from ``Basic Care'' (Level I) for women with low to moderate-
risk pregnancies to ``Regional Perinatal Health Care Centers'' (Level 
IV) for women inclusive of those at low-risk to the highest-risk 
pregnancies.\370\ However, there is currently no reliable and 
comprehensive source of publicly reported data on Maternal Levels of 
Care for all hospitals providing labor and delivery services. In this 
RFI, we seek further input on peer grouping considerations.
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    \370\ Available at: https://www.acog.org/programs/lomc.
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    In preliminary testing of the modified Designation scoring 
methodology, 2,548 hospitals that reported at least one of the maternal 
measures for CY 2024 were identified (excluding hospitals that 
responded ``not applicable (our hospital does not provide inpatient 
labor/delivery care)'' to the Maternal Morbidity Structural measure). 
Among these, 1,976 hospitals were determined to have reported on all 
three measures and had 25 or more delivery hospitalizations during the 
measurement period, to align with the public reporting threshold for 
the maternal outcome measures. Of these hospitals, 1,920 (97.1 percent) 
hospitals attested positively to the Maternal Morbidity Structural 
measure and were included in testing of the modified Designation 
scoring methodology. Preliminary results indicate variation in mean 
composite scores for the Designation clusters across delivery volume 
categories (peer groups), most distinctly for the top delivery volume 
category (hospitals with greater than 2000 deliveries) that had a lower 
mean composite score within each cluster as compared to the mean 
composite scores of those clusters in lower delivery volume categories 
(see Table IX.C.6.).
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    Preliminary testing results for awarding Birthing-Friendly Hospital 
Designation icons indicate similar distributions across delivery volume 
categories (peer groups) for hospitals to receive one, two, and three 
Birthing-Friendly icons representing lowest to highest Birthing-
Friendly hospital performance (see Table IX.C.7.).
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    The measure developer received feedback during winter 2025 from a 
TEP, including patients, patient advocates, technical experts, and 
clinicians, supporting the expansion of criteria for the Designation 
and the potential new scoring methodology.\371\
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    \371\ Yale CORE. (March 2026). Summary of Technical Expert Panel 
(TEP): Development of Birthing Friendly Hospital Designation (BFHD). 
Available at: https://mmshub.cms.gov/sites/default/files/Del4-3BFHDSummaryTEPEvaluation-March2026.pdf.
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(4) Solicitation of Public Comments
    We seek feedback on potential modifications to the current 
Birthing-Friendly Hospital Designation. We are requesting input from 
interested parties on the following potential modifications: (1) 
expanding the Designation to include two maternal care quality outcome 
measures: Cesarean Birth eCQM and Severe Obstetric Complications eCQM; 
(2) the outlined scoring methodology noted previously including use of 
peer grouping; and (3) the accompanying tiered approach to awarding 
Birthing-Friendly Hospital Designation icons. Specifically, we are 
requesting feedback on the following topics:
     Do you have feedback on the potential new scoring 
methodology outlined in this RFI for the Designation?
     With respect to the potential new scoring methodology, do 
you have any special considerations for small, rural, or safety net 
hospitals?
     Differential measure score weighting:
    ++ Do you have feedback on the higher weighting of the Severe 
Obstetric Complications eCQM (combined scores) at 55 percent compared 
to weighting of the Cesarean Birth eCQM at 45 percent?
    ++ Do you have feedback on the differential weighting of the two 
Severe Obstetric Complications eCQM outcomes (any severe obstetric 
complication equals 18 percent, severe obstetric complications 
excluding encounters for which blood transfusion was the only numerator 
event equals 37 percent)?
     Do you have feedback on a tiered approach to awarding the 
Designation for identifying levels of quality/performance?
     Approaches for peer grouping:
    ++ Do you have feedback on using delivery volume as a peer grouping 
variable?
    ++ Would the category ``less than or equal to 500 deliveries'' 
represent an appropriate peer grouping for hospitals with low birth 
volumes, such as those in rural areas?
    ++ Should there be a minimum number of births required in the peer 
grouping, such as ``25-500 deliveries'' instead of ``less than or equal 
to 500 deliveries''?
    ++ Are there any other variables that would be appropriate for peer 
grouping? And if so, please provide information on data sources.
     Public reporting of the Designation results:
    ++ Do you have feedback on the presentation of the Designation on 
the Compare tool? Specifically, do you agree with using one to three 
Birthing-Friendly icons to represent summarized hospital performance?
    ++ Is the Designation easily interpreted by patients and consumers? 
Do you have suggestions on the messaging of the Designation on the 
Compare tool on Medicare.gov?
    With these questions, we are seeking public input on potential 
modifications to the Birthing-Friendly Hospital Designation described 
previously, for consideration in future rulemaking.
8. Updates to the Form, Manner, and Timing of Quality Data Submission
    We are proposing changes to our reporting and submission 
requirements for eCQMs and structural measures, as later discussed in 
this proposed rule.
    We are not proposing any changes to the following requirements: 
procedural requirements; data submission requirements for chart-
abstracted measures; data submission and reporting requirements for 
hybrid measures; sampling and case thresholds for chart-abstracted 
measures; HCAHPS Survey administration and submission requirements; 
data submission and reporting requirements for CDC National Healthcare 
Safety Network measures; and data submission and reporting requirements 
for Patient-Reported Outcome-Based Performance Measures. Accordingly, 
these requirements will not be repeated in the Form, Manner, and Timing 
of Quality Data Submission section. We refer readers to the QualityNet 
website at: https://qualitynet.cms.gov/inpatient/iqr (or other 
successor CMS designated websites) for more details on the Hospital 
Inpatient Quality Reporting Program data submission and procedural 
requirements.
a. Background
    Section 1886(b)(3)(B)(viii)(I) and (b)(3)(B)(viii)(II) of the Act 
state that the applicable percentage increase for FY 2015 and each 
subsequent year shall be reduced by one-quarter of such applicable 
percentage increase (determined without regard to sections 
1886(b)(3)(B)(ix), (xi), or (xii) of the Act) for any subsection (d) 
hospital that does not submit data required to be submitted on measures 
specified by the Secretary in a form and manner and at a time specified 
by the Secretary. To successfully participate in the Hospital Inpatient 
Quality Reporting Program, hospitals must meet specific procedural, 
data collection, submission, and validation requirements.
b. Maintenance of Technical Specifications for Quality Measures
    Section 412.140(c)(1) of title 42 of the CFR generally requires 
that a subsection (d) hospital participating in the Hospital Inpatient 
Quality Reporting Program must submit to CMS data on measures selected 
under section 1886(b)(3)(B)(viii) of the Act in a form and manner, and 
at a time, specified by CMS. The data submission requirements, 
specifications manual, measure methodology reports, and submission 
deadlines are posted on the QualityNet website at: https://qualitynet.cms.gov (or other successor CMS designated websites).
    The CMS Annual Update for the Hospital Quality Reporting (HQR) 
Programs (Annual Update) contains the technical specifications for 
eCQMs. The updated measure specifications applicable to a reporting 
period are contained in the Annual Update issued in the year prior to 
the reporting period. For example, for the CY 2026 reporting period/FY 
2028 payment determination, hospitals are collecting and will submit 
eCQM data using the May 2025 Annual Update and any applicable addenda. 
The Annual Update and implementation guidance documents are available 
on the Electronic Clinical Quality Improvement (eCQI) Resource Center 
website at: https://ecqi.healthit.gov/.
    Hospitals must register and submit quality data as described at 42 
CFR 412.140(a).
c. Data Submission and Reporting Requirements for Electronic Clinical 
Quality Measures
(1) Background
    Beginning with the CY 2016 reporting period, we began requiring 
hospitals to report on eCQMs with the goal of progressively increasing 
the number of eCQMs a hospital is required to report while also being 
responsive to concerns about timing, readiness, and burden associated 
with the increased number of measures (80 FR 49693 through 49698 and 81 
FR 57150 through 57157). Over time we have gradually increased the 
number of eCQMs that we require

[[Page 19601]]

hospitals to report over the course of several years to allow hospitals 
and their vendors time to gain experience with reporting eCQMs, while 
providing flexibility by retaining an element of choice in allowing a 
hospital to self-select some eCQMs (84 FR 42503 through 42505, 85 FR 
58932 through 58939, 86 FR 45417 through 45418, 87 FR 49298 through 
49302, and 89 FR 69568 through 69573). In the FY 2025 IPPS/LTCH PPS 
final rule, we finalized a further increase in the number of mandatory 
eCQMs focused on improving patient safety (89 FR 69568 through 69573). 
Table IX.C.8. summarizes our current eCQM reporting and submission 
policies:
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    We refer readers to the QualityNet website for additional 
information on current and previous reporting and submission 
requirements for eCQMs at: https://qualitynet.cms.gov/inpatient/measures/ecqm.
(2) Proposal for Mandatory Reporting of the Malnutrition Care Score 
Electronic Clinical Quality Measure
    The Malnutrition Care Score eCQM was initially adopted in the FY 
2023 IPPS/LTCH PPS final rule into the Hospital Inpatient Quality 
Reporting Program measure set from which a hospital could self-select 
beginning with the CY 2024 reporting period/FY 2026 payment 
determination (87 FR 49239 through 49246). In the FY 2025 IPPS/

[[Page 19602]]

LTCH PPS final rule, we modified the measure to include patients 18 
years old and older in the measure cohort, beginning with the CY 2026 
reporting period/FY 2028 payment determination (89 FR 69557 through 
69560). In the FY 2026 IPPS/LTCH PPS final rule, we summarized input we 
received through the public comment process in response to our RFI on 
measure concepts of well-being and nutrition for future years in the 
Hospital Inpatient Quality Reporting Program and other quality measure 
programs; many commenters supported the utilization of the Malnutrition 
Care Score eCQM, noting it plays a critical role in identifying and 
addressing nutritional concerns in the hospital inpatient setting, and 
some commenters specifically supported making the Malnutrition Care 
Score eCQM mandatory (90 FR 36996 through 36997).
    In consideration of these public comments and in alignment with the 
administration's priority focus on well-being and nutrition, we are 
proposing mandatory reporting of the Malnutrition Care Score eCQM 
beginning with the CY 2028 reporting period/FY 2030 payment 
determination. This proposal also aligns with our ongoing strategy to 
transition to a fully digital quality measurement landscape that 
promotes interoperability, reduces reporting burden, and increases the 
value of reporting quality measure data (90 FR 36990 through 36996). If 
this proposal is finalized, hospitals would have an opportunity to 
continue to self-select this eCQM for the CY 2026 and CY 2027 reporting 
periods before mandatory reporting for all hospitals would begin with 
the CY 2028 reporting period/FY 2030 payment determination.
(3) Proposal for Mandatory Reporting of the Hospital Harm Electronic 
Clinical Quality Measures
    We previously implemented a stepwise approach to increase the 
number of required eCQMs in response to public comments noting the 
burden and resources necessary to implement new eCQMs (89 FR 69568 
through 69573). This approach balances the need to prioritize more 
comprehensive reporting on important safety and preventable harm 
metrics with the need to provide hospitals and health IT vendors time 
to implement new eCQMs.
    Currently, in the Hospital Inpatient Quality Reporting Program, we 
have adopted seven eCQMs aimed at addressing different types of and 
various aspects of preventable hospital harms: Hospital Harm--Severe 
Hyperglycemia; Hospital Harm--Severe Hypoglycemia; Hospital Harm--
Opioid-Related Adverse Events; Hospital Harm--Pressure Injury; Hospital 
Harm--Acute Kidney Injury; Hospital Harm--Falls with Injury; and 
Hospital Harm--Postoperative Respiratory Failure. On average, less than 
10 percent of hospitals self-select to report on a given eCQM in the 
first year it is available, and we assume a hospital tends to self-
select a given eCQM because it will perform better on that eCQM 
compared to other eCQMs available to self-select. Because hospital 
harms remain a significant source of morbidity, mortality, and cost, 
and because of the importance of publicly reporting these metrics to 
promote patient safety, we propose to build on the stepwise approach 
for increasing the number of required eCQMs by modifying the eCQM 
reporting and submission requirements for Hospital Harm eCQMs. 
Specifically, we propose that beginning with the CY 2028 reporting 
period/FY 2030 payment determination, Hospital Harm eCQMs that have not 
yet been finalized for mandatory reporting would become mandatory in 
the third year of reporting.
    Under this proposal, the Hospital Harm--Falls with Injury eCQM and 
the Hospital Harm--Postoperative Respiratory Failure eCQM would begin 
mandatory reporting in CY 2028 reporting period/FY 2030 payment 
determination. We also propose that the Hospital Harm--Postoperative 
VTE eCQM, proposed for adoption in section IX.C.3.b. of this proposed 
rule, would become mandatory to report beginning with the CY 2030 
reporting period/FY 2032 payment determination, after being available 
for 2 years of self-selected reporting. Furthermore, we propose that in 
subsequent years, newly adopted Hospital Harm eCQMs would become 
mandatory eCQMs for reporting after 2 years of self-selected reporting 
in the Hospital Inpatient Quality Reporting Program and the Medicare 
Promoting Interoperability Program. We are not proposing changes to our 
previously finalized policy that progressively increases the number of 
mandatory eCQMs a hospital must report for the CY 2026 reporting 
period/FY 2028 payment determination or the CY 2027 reporting period/FY 
2029 payment determination (89 FR 69568 through 69573).
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    This proposal would advance the transition to a fully digital 
quality measure set, standardize safety data collection, and improve 
patient safety by having all hospitals report these measures. By the CY 
2028 reporting period/FY 2030 payment determination, hospitals will 
have had 12 years of progressive experience reporting eCQMs. We believe 
hospitals have built a strong foundation of eCQM reporting through this 
phased ramp-up to accommodate newly adopted Hospital Harm eCQMs into 
the mandatory measure set for the Hospital Inpatient Quality Reporting 
Program and the Medicare Promoting Interoperability Program after 2 
years of self-selected reporting. By making the Hospital Harm eCQMs 
mandatory after 2 years of self-selected reporting, we ensure that we 
would receive a robust national dataset for measures on these important 
topics, and these measures could serve as potential replacements for 
claims-based measures, such as those reported within the Patient Safety 
and Adverse Events Composite (PSI 90).
(4) Summary of Proposed Changes to the eCQM Reporting and Submission 
Requirements
    We refer readers to section IX.C.6. for the full list of eCQMs by 
payment determination year in the Hospital Inpatient Quality Reporting 
Program. If a hospital does not have patients that meet the denominator 
criteria for any of the eCQMs included in this proposal, the hospital 
would submit a zero denominator declaration. The submission of a zero 
denominator declaration allows a hospital to meet the reporting 
requirements for a particular eCQM. We refer readers to the FY 2015 
IPPS/LTCH PPS final rule (79 FR 50256 through 50259), the FY 2016 IPPS/
LTCH PPS final rule (80 FR 49705 through 49708), and the FY 2017 IPPS/
LTCH PPS final rule (81 FR 57169 and 57170) for our previously adopted 
eCQM file format requirements. A QRDA Category I file with patients 
meeting the initial patient population of the applicable measures, a 
zero denominator declaration, or a case threshold exemption all count 
toward a successful submission for eCQMs for the Hospital Inpatient 
Quality Reporting Program (82 FR 38387). The following Table IX.C.10. 
summarizes our proposed policies:

[[Page 19604]]

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BILLING CODE 4120-01-C
    We invite public comment on our proposals to require hospitals to 
report on the Malnutrition Care Score eCQM and on all current and 
future Hospital Harm eCQMs after 2 years of self-selected reporting 
beginning with CY 2028 reporting period/FY 2030 payment determination. 
We refer readers to section IX.F.9. of this proposed rule, in which we 
propose the same reporting and submission requirements for eCQMs under 
the Medicare Promoting Interoperability Program for eligible hospitals 
and CAHs.
d. Data Submission and Reporting Requirements for Structural Measures
    We refer readers to the FY 2012 IPPS/LTCH PPS final rule (76 FR 
51643 and 51644) and the FY 2013 IPPS/LTCH PPS final rule (77 FR 53538 
and 53539) for details on the data submission requirements for 
structural measures.

[[Page 19605]]

We propose an update to the reporting and submission requirements for 
the Maternal Morbidity Structural measure beginning with the FY 2028 
payment determination.
(1) Proposed Update to Maternal Morbidity Structural Measure Reporting
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45361 through 
45365), we adopted the Maternal Morbidity Structural measure beginning 
with the FY 2023 payment determination. In this attestation-based 
measure, hospitals answer the following two-part question: Does your 
hospital or health system participate in a Statewide and/or National 
Perinatal Quality Improvement Collaborative Program aimed at improving 
maternal outcomes during inpatient labor, delivery and postpartum care, 
and has it implemented patient safety practices or bundles related to 
maternal morbidity to address complications, including, but not limited 
to, hemorrhage, severe hypertension/preeclampsia or sepsis? \372\ The 
answer choices are ``yes'', ``no'', or ``not applicable'' (for 
hospitals that do not provide inpatient labor/delivery care).
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    \372\ CMS. QualityNet. IQR Measures--Web-Based Data Collection. 
Attestation Guide for the Maternal Morbidity Structural Measure. 
Available at: https://qualitynet.cms.gov/inpatient/iqr/measures#tab2.
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    To improve the completeness and usefulness of the data collected, 
we propose updating the reporting requirements. Specifically, if a 
hospital answers ``yes'' to the measure as currently specified, the 
hospital would also need to report the name of the perinatal quality 
improvement collaborative program. In the HQR System, if a hospital 
selects ``yes'' in response to the measure, the hospital would also be 
prompted to report a response to the following: ``Which Statewide and/
or National Perinatal Quality Improvement Collaborative Program does 
the hospital participate in?'' This change is intended to enhance our 
understanding of current practices and support targeted quality 
improvement efforts. This update to the reporting requirements of the 
measure would not impact measure performance, as the criteria for 
attesting ``yes'' to the measure remain the same. However, we would not 
consider a hospital which attested ``yes'' to the measure but did not 
provide the name of the perinatal quality improvement collaborative 
program in which they participate to have successfully reported all 
requirements for this measure. Therefore, such a hospital would be 
subject to a payment penalty. To report on this measure, hospitals 
would continue using the CMS-approved web-based collection tool 
available within the HQR System once annually, as they currently do to 
report for this and other Hospital Inpatient Quality Reporting Program 
structural measures (87 FR 49304 through 49305).
    We invite public comment on our proposed update to the reporting 
requirements for the Maternal Morbidity Structural measure beginning 
with the CY 2026 reporting period/FY 2028 payment determination.

D. PPS-Exempt Cancer Hospital Quality Reporting Program

1. Background and History of the PPS-Exempt Cancer Hospital (PCH) 
Quality Reporting Program
    The PPS-Exempt Cancer Hospital (PCH) Quality Reporting Program, 
authorized by section 1866(k) of the Act, applies to hospitals 
described in section 1886(d)(1)(B)(v) of the Act (referred to as ``PPS-
Exempt Cancer Hospitals'' or ``PCHs''). We refer readers to the FY 2013 
IPPS/LTCH PPS final rule (77 FR 53555 through 53567) for a general 
overview of the PCH Quality Reporting Program. We also refer readers to 
42 CFR 412.24 for codified PCH Quality Reporting Program requirements.
2. Proposed New Measures for the PCH Quality Reporting Program Measure 
Set
    We propose to adopt two new measures into the PCH Quality Reporting 
Program: (1) Advance Care Planning electronic clinical quality measure 
(eCQM) for a full year of reporting beginning with the CY 2028 
reporting period/FY 2030 program year; and (2) Malnutrition Care Score 
eCQM for a full year of reporting beginning with the CY 2028 reporting 
period/FY 2030 program year. We provide more details on the proposed 
adoption of the Malnutrition Care Score eCQM in section IX.D.2.a. of 
the preamble of this proposed rule, while details on the proposed 
adoption of the Advance Care Planning eCQM measure appear in section 
IX.B.1. of the preamble of this proposed rule.
    a. Proposed Adoption of the Malnutrition Care Score Electronic 
Clinical Quality Measure
(1) Background
    Malnutrition is a common and high-risk condition characterized by 
unbalanced nutrition, encompassing both undernutrition and 
overnutrition.\373\ Undernutrition occurs when an individual has 
insufficient calories, protein, or other nutrients from inadequate 
intake, impaired absorption, increased metabolic demands, or increased 
nutrient losses. Overnutrition includes a surplus of calories, which 
increases risk for obesity, type 2 diabetes, heart attacks, strokes, 
and other chronic conditions.\374\ Malnutrition can be more prevalent 
among hospitalized patients with cancer and is associated with 
increased health care costs and adverse clinical outcomes, including 
increased length of hospital stays, complications and readmission 
rates, and all-cause mortality risk.\375\ Up to an estimated 80 percent 
of cancer patients experience malnutrition, with prevalence varying 
based on cancer stage, type, treatment route, and the patient's 
age.\376\ Adult cancer patients at risk of malnutrition have a 70 
percent higher risk for all-cause mortality and a 49 percent higher 
risk for chemotherapy-related complications compared to patients with 
no malnutrition risk.\377\ Furthermore, the side effects of cancer 
treatments, such as chemotherapy and radiation therapy, can impair 
nutritional intake due to nausea, vomiting, early satiety, and taste 
changes.\378\ These effects underscore the need for nutrition screening 
throughout cancer treatment to maintain patient health, minimize 
nutrition-related side effects, and ultimately ensure the ability to 
keep a patient on an effective treatment schedule.
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    \373\ Academy of Nutrition and Dietetics. (2021). What is 
Malnutrition. Available at: https://www.eatright.org/health/health-conditions/malnutrition-and-deficiencies/what-is-malnutrition.
    \374\ Academy of Nutrition and Dietetics. (2022). How an RDN Can 
Help with Malnutrition. Available at: https://www.eatright.org/health/health-conditions/malnutrition-and-deficiencies/how-an-rdn-can-help-with-malnutrition.
    \375\ Corriveau J, Alavifard D, Gillis C. (2022). Demystifying 
Malnutrition to Improve Nutrition Screening and Assessment in 
Oncology. Seminars in Oncology Nursing, 38(5). https://doi.org/10.1016/j.soncn.2022.151336.
    \376\ Hoobler R, Herrera M, Woodruff K, Sanchez A, Coletta AM, 
Chaix A, Elizondo J, Playdon MC. (2025). Malnutrition Risk Is 
Associated With All-Cause Mortality and Chemotherapy Complications 
Among Adults Diagnosed With Diverse Cancer Types: A Retrospective 
Cohort Study. Journal of the Academy of Nutrition and Dietetics, 
125(9), 1242-1255. https://doi.org/10.1016/j.jand.2025.04.014.
    \377\ Hoobler R, Herrera M, Woodruff K, Sanchez A, Coletta AM, 
Chaix A, Elizondo J, Playdon MC. (2025). Malnutrition Risk Is 
Associated With All-Cause Mortality and Chemotherapy Complications 
Among Adults Diagnosed With Diverse Cancer Types: A Retrospective 
Cohort Study. Journal of the Academy of Nutrition and Dietetics, 
125(9), 1242-1255. https://doi.org/10.1016/j.jand.2025.04.014.
    \378\ PDQ[supreg] Supportive and Palliative Care Editorial 
Board. PDQ Nutrition in Cancer Care. Bethesda, MD: National Cancer 
Institute. Updated 09/20/2024. Available at: https://www.cancer.gov/about-cancer/treatment/side-effects/appetite-loss/nutrition-hp-pdq.

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[[Page 19606]]

    PCHs have an opportunity to identify malnutrition early in the 
patient admission process and to address it efficiently and effectively 
with interventions individualized to the patient's cancer treatment 
plan that could optimize outcomes, including reduced complications and 
lengths of stay.\379\ However, gaps and inconsistencies exist in 
nutrition care practices in the inpatient setting,\380\ and 
malnutrition remains poorly recognized, mostly due to a lack of 
awareness and inadequate coordination between healthcare 
providers.\381\ The implementation of malnutrition care including: (1) 
malnutrition risk screening; (2) nutrition assessment following 
detection of malnutrition risk; (3) malnutrition diagnosis; and (4) 
nutrition care plans for patients identified as malnourished improves 
the identification and treatment of malnourished patients.\382\ 
Providing inpatient nutritional support saves an estimated $2,818 per 
patient over 6 months, largely due to fewer infections and shorter 
hospital stays.\383\
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    \379\ PDQ[supreg] Supportive and Palliative Care Editorial 
Board. PDQ Nutrition in Cancer Care. Bethesda, MD: National Cancer 
Institute. Updated 09/20/2024. Available at: https://www.cancer.gov/about-cancer/treatment/side-effects/appetite-loss/nutrition-hp-pdq.
    \380\ Wills-Gallagher J, Kerr KW, Macintosh B, Valladares AF, 
Kilgore KM, Sulo S. (2022). Implementation of malnutrition quality 
improvement reveals opportunities for better nutrition care delivery 
for hospitalized patients. Journal of Parenteral and Enteral 
Nutrition, 46(1), 243-248. https://doi.org/10.1002/jpen.2086.
    \381\ Kabashneh S, Alkassis S, Shanah L, Ali H. (2020). A 
Complete Guide to Identify and Manage Malnutrition in Hospitalized 
Patients. Cureus, 12(6). https://doi.org/10.7759/cureus.8486.
    \382\ Valladares AF, Kilgore KM, Partridge J, Sulo S, Kerr KW, 
McCauley S. (2021). How a Malnutrition Quality Improvement 
Initiative Furthers Malnutrition Measurement and Care: Results From 
a Hospital Learning Collaborative. Journal of Parenteral and Enteral 
Nutrition, 45(2), 366-371. https://doi.org/10.1002/jpen.1833.
    \383\ Schuetz P, Sulo S, Walzer S, Vollmer L, Brunton C, Kaegi-
Braun N, Stanga Z, Mueller B, Gomes F. (2021). Cost savings 
associated with nutritional support in medical inpatients: an 
economic model based on data from a systematic review of randomised 
trials. BMJ Open, 11(7), e046402. https://doi.org/10.1136/bmjopen-2020-046402.
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(2) Overview of Measure
    The Malnutrition Care Score eCQM assesses the percentage of adults 
aged 18 years and older at the start of the eligible encounter, with a 
length of stay equal to or greater than 24 hours, who received optimal 
malnutrition care appropriate to the specific patient's level of 
malnutrition risk and severity. Best practices related to the 
prevention and care of malnutrition recommend that for each eligible 
encounter, adult inpatients are: (1) screened for malnutrition risk or 
for a dietitian referral order to be placed; (2) assessed by a 
registered dietitian (RD) or registered dietitian nutritionist (RDN) to 
confirm findings of malnutrition risk, and if identified with a 
``moderate'' or ``severe'' malnutrition status in the current performed 
nutrition assessment; (3) receive a ``moderate'' or ``severe'' 
malnutrition diagnosis by a physician or eligible clinician as defined 
by CMS; and (4) have a current nutrition care plan performed by an RD/
RDN.384 385
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    \384\ Malnutrition Quality Improvement Initiative. (2024). MQii 
Toolkit. Available at: https://malnutritionquality.org/mqii-toolkit/#case_malnutrition_care_hospital.
    \385\ Silver HJ, Pratt KJ, Bruno M, Lynch J, Mitchell K, 
McCauley SM. (2018). Effectiveness of the Malnutrition Quality 
Improvement Initiative on Practitioner Malnutrition Knowledge and 
Screening, Diagnosis, and Timeliness of Malnutrition-Related Care 
Provided to Older Adults Admitted to a Tertiary Care Facility: A 
Pilot Study. Journal of the Academy of Nutrition and 
Dietetics,118(1):101-109. https://doi.org/10.1016/j.jand.2017.08.111.
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    To improve clinical outcomes for patients and reduce health care 
costs, we adopted the Malnutrition Care Score eCQM (previously known as 
the Global Malnutrition Composite Score eCQM) into the Hospital 
Inpatient Quality Reporting and Medicare Promoting Interoperability 
Programs as one of the eCQMs that hospitals can select to report 
beginning with the CY 2024 reporting period (87 FR 49239 through 49246 
and 87 FR 49361 through 49365, respectively). In the FY 2025 IPPS/LTCH 
PPS final rule, we modified the measure to include patients 18 years 
old and older in the measure cohort (89 FR 69557 through 69560 and 89 
FR 69621 through 69623). In this rule, we are also proposing mandatory 
reporting of the Malnutrition Care Score eCQM in the Hospital Inpatient 
Quality Reporting and Medicare Promoting Interoperability Programs 
beginning with the CY 2028 reporting period. We refer interested 
readers to sections IX.C.8.c.(2). and IX.F.9.c. of the preamble of this 
proposed rule for further discussion of this proposal in the Hospital 
Inpatient Quality Reporting and Medicare Promoting Interoperability 
Programs, respectively.
(3) Measure Calculation
    The Malnutrition Care Score eCQM consists of four components, which 
are scored separately: (1) screening for malnutrition risk at 
admission; (2) completing a nutrition assessment for patients who 
screened for risk of malnutrition; (3) appropriate documentation of 
malnutrition diagnosis in the patient's medical record if a 
malnutrition risk of ``moderate'' or ``severe'' was indicated by the 
assessment findings; and (4) development of a nutrition care plan for 
malnourished patients including the recommended treatment plan. The 
malnutrition components are specified for use in electronic health 
records (EHRs). The Malnutrition Care Score eCQM numerator is comprised 
of four components that are individually scored at the encounter level 
for patients 18 years of age and older who are admitted to a PCH. Each 
eligible component is given a value of 0 if not documented, or 1 if 
documented, and then all values are summed to total the numerator. The 
measure denominator is the total eligible occurrences of the four 
components for patients aged 18 years and older who are admitted to a 
PCH. The only denominator exclusion for this measure population is 
patients whose length of stay is less than 24 hours. Details on the 
cohort for each component are specified in Table IX.D.1.

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    The score for each eligible encounter is calculated by dividing the 
numerator by the denominator. Results range from 0 to 100 percent, with 
higher percentages indicating better performance. The measure 
specifications for the Malnutrition Care Score eCQM can be found on the 
Electronic Clinical Quality Improvement (eCQI) Resource Center website, 
available at: https://ecqi.healthit.gov/eh-cah/ecqm-resources.
(4) Pre-Rulemaking Process and Measure Endorsement
(a) Recommendations From the Pre-Rulemaking Measure Review Process
    We refer readers to the Partnership for Quality Measurement website 
for details on the Pre-Rulemaking Measure Review process convened by 
the consensus-based entity (CBE), including the voting procedures used 
to reach consensus on measure recommendations.386 387 The 
Pre-Rulemaking Measure Review Hospital Committee, consisting of both 
the Pre-Rulemaking Measure Review Hospital Recommendation Group 
(hereafter referred to as the Recommendation Group) and Pre-Rulemaking 
Measure Review Hospital Advisory Group, met on January 12 and 13, 2026, 
to review measures included by the Secretary on the publicly available 
``2025 Measures Under Consideration List,'' including the Malnutrition 
Care Score eCQM (MUC2025-065).\388\
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    \386\ Partnership for Quality Measurement. Pre-Rulemaking 
Measure Review web page. Available at: https://p4qm.org/prmr/about.
    \387\ In 2025, the CBE updated the Pre-Rulemaking Measure Review 
voting process such that committee members will vote to either 
``recommend'' or ``do not recommend'' that a measure be added to the 
intended CMS program(s), thus, removing the ``recommend with 
conditions'' voting option. The threshold to reach consensus on a 
given measure continues to be a minimum of 75 percent agreement 
among members. Committee members can provide considerations for CMS 
to review prior to implementation.
    \388\ Centers for Medicare & Medicaid Services. 2025 Measures 
Under Consideration List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports/overview.
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    The voting results of the Recommendation Group for the proposed 
inclusion of the Malnutrition Care Score eCQM in the PCH Quality 
Reporting Program were: 19 members (95 percent) recommended adopting 
the measure into the PCH Quality Reporting Program, and one member (5 
percent) voted not to recommend the measure for adoption.\389\ With 95 
percent of the votes for recommend, the Recommendation Group reached 
consensus agreement to recommend the Malnutrition Care Score eCQM for 
use in the PCH Quality Reporting Program.
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    \389\ Partnership for Quality Measurement. (February 2026). 
2025-2026 Pre-Rulemaking Measure Review Recommendation Group Final 
Meeting Summary: Hospital Committee. Available at: https://p4qm.org/sites/default/files/2026-02/PRMR-Hospital-Recommendation-Group-Meeting-Final-Summary-508.pdf.
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    The Pre-Rulemaking Measure Review Hospital Committee overall agreed 
that this measure is particularly relevant for cancer patients, who 
often experience malnutrition. The Recommendation Group member who 
voted not to recommend the measure expressed concerns that (1) rural 
hospitals often lack sufficient registered dietitian staffing, even 
with telemedicine, and (2) whether documenting screening leads to 
meaningful improvements in post-discharge outcomes.
    In response to the Recommendation Group member's first concern 
about rural hospitals, the hospitals participating in the PCH Quality 
Reporting Program consist of 11 total PCHs. All PCHs are affiliated 
with large academic medical centers, research institutions, or 
standalone premier cancer centers.\390\ As there are no PCHs currently 
designated as rural hospitals or considered to be low-resource 
hospitals, this concern is not relevant to our proposal to adopt the 
Malnutrition Care Score eCQM into the PCH Quality Reporting Program.
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    \390\ Centers for Medicare & Medicaid Services. PPS-Exempt 
Cancer Hospitals. Available at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/pps-exempt-cancer-hospitals-pchs.
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    Regarding the Recommendation Group member's second concern about 
meaningful improvements, the Malnutrition Care Score eCQM measure was 
endorsed in the Spring 2024 review cycle with a condition for the 
measure steward to review implementation data to examine whether the 
measure is associated with improved nutritional status or related 
clinical endpoints when the measure returns for maintenance review in 
the Spring 2029 cycle.391 392 The measure developer is 
working to collect and review hospital implementation data to assess 
the clinical outcomes associated with the measure by its next review 
cycle in Spring 2029, and we will continue to evaluate the measure as 
more data is received.
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    \391\ Partnership for Quality Management. Malnutrition Care 
Score. Available at: https://p4qm.org/measures/3592e.
    \392\ Partnership for Quality Management. Spring 2024 Cycle 
Endorsement and Maintenance Technical Report Initial Recognition and 
Management. Available at: https://p4qm.org/sites/default/files/Initial%20Recognition%20and%20Management/material/EM-Spring-2024-IRM-Final-Project-Report.pdf.
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    We thank the committee for their recommendations and concerns. 
After taking them into consideration, we propose to adopt the 
Malnutrition Care Score eCQM in the PCH Quality Reporting Program 
beginning with the FY 2030 program year.

[[Page 19608]]

(b) Measure Endorsement
    We refer readers to the Partnership for Quality Measurement website 
for details on the measure endorsement and maintenance process, 
including the measure evaluation procedures the Endorsement and 
Maintenance Committees use to evaluate measures and whether they meet 
endorsement criteria. The Malnutrition Care Score eCQM was recently 
reviewed by the Endorsement and Maintenance Initial Recognition and 
Management Committee as part of measure maintenance in the Spring 2024 
review cycle. The Endorsement and Maintenance committee voted to 
endorse with conditions. The condition was for the measure steward to 
review implementation data (including the recently expanded cohort of 
patients 18 years and older) to examine whether the measure is 
associated with improved nutritional status or related clinical 
endpoint when the measure returns for maintenance review in the Spring 
2029 cycle.393 394 We are working with the measure steward 
to collect and review hospital implementation data to assess the 
clinical outcomes associated with the Malnutrition Care Score eCQM.
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    \393\ Partnership for Quality Management. Malnutrition Care 
Score. Available at: https://p4qm.org/measures/3592e.
    \394\ Partnership for Quality Management. Spring 2024 Cycle 
Endorsement and Maintenance Technical Report Initial Recognition and 
Management. Available at: https://p4qm.org/sites/default/files/Initial%20Recognition%20and%20Management/material/EM-Spring-2024-IRM-Final-Project-Report.pdf.
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(5) Data Sources, Submission, and Reporting
    The Malnutrition Care Score eCQM uses data collected through a 
hospital's EHR. The measure is designed to be calculated by certified 
health information technology (IT) using the patient-level data and 
then submitted by the PCH to CMS. Table IX.D.2. outlines the data 
specification(s) and data sources for each of the four components.
[GRAPHIC] [TIFF OMITTED] TP14AP26.176

    We propose to adopt the Malnutrition Care Score eCQM in the PCH 
Quality Reporting Program beginning with the CY 2028 reporting period/
FY 2030 program year. We refer readers to section IX.D.5.b. of this 
proposed rule for a discussion of proposed form, manner, and timing of 
data submission and reporting requirements for eCQMs in the PCH Quality 
Reporting Program.
    Section 1866(k)(4) of the Act requires the Secretary to make 
quality measure information available to the public after PCHs have the 
opportunity to review their data. If adoption of the Malnutrition Care 
Score eCQM is finalized, we propose to publicly report data as soon as 
it is feasible on CMS websites such as the Compare tool on Medicare.gov 
(https://www.medicare.gov/care-compare/) and the CMS Provider Data 
Catalog or their successor websites after a 30-day preview period.
    We invite public comment on our proposal to adopt the Malnutrition 
Care Score eCQM into the PCH Quality Reporting Program beginning with 
the CY 2028 reporting period/FY 2030 program year.
3. Proposed Removal in the PCH Quality Reporting Program Measure Set
a. Proposed Removal of the COVID-19 Vaccination Coverage Among 
Healthcare Personnel Measure
    We refer readers to the FY 2022 IPPS/LTCH PPS final rule where we 
adopted the COVID-19 Vaccination Coverage among Healthcare Personnel 
(HCP) measure (hereafter referred to as HCP COVID-19 Vaccination 
measure) into the PCH Quality Reporting Program (86 FR 45428 through 
45434) and the FY 2024 IPPS/LTCH PPS final rule where we modified the 
HCP COVID-19 Vaccination measure to account for updated COVID-19 
vaccine guidance (88 FR 59137 through 59144). The HCP COVID-19 
Vaccination measure requires PCHs to report the COVID-19 vaccination 
status of HCP through the Centers for Disease Control and Prevention 
(CDC) National Healthcare Safety Network (NHSN). PCHs must collect 
current vaccination status for all employees, licensed independent 
practitioners, adult trainees, students,

[[Page 19609]]

and volunteers, as well as certain contract personnel one week out of 
each month and report these data on a quarterly basis (88 FR 59140).
    We propose to remove the HCP COVID-19 Vaccination measure beginning 
with the CY 2026 reporting period/FY 2028 program year under removal 
factor 2, a measure does not align with current clinical guidelines or 
practice (Sec.  412.24(d)(3)(i)(B)). When we originally adopted this 
measure, the United States was in the midst of a Public Health 
Emergency (PHE) with millions of COVID-19 cases and over 550,000 COVID-
19 deaths (86 FR 45428). In March 2021, when this measure was being 
proposed, the United States was averaging over 5,000 deaths per week. 
In April 2023, the last full month of the PHE, the weekly number of 
deaths due to COVID-19 averaged around 1,300.\395\ While preventing the 
spread of COVID-19 remains a public health goal, the PHE ended on May 
11, 2023,\396\ and the COVID-19 death rate has continued to decrease. 
The weekly number of deaths attributed to COVID-19 during the past 6 
months (weeks ending 8/2/25 through 1/31/26) ranged from 188 to 
498.\397\
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    \395\ Centers for Disease Control and Prevention. Provisional 
COVID-19 Deaths, by Week, in The United States, Reported to CDC. 
Available at: https://covid.cdc.gov/covid-data-tracker/#trends_weeklydeaths_select_00.
    \396\ U.S. Department of Health and Human Services. COVID-19 
Public Health Emergency. Available at: https://www.hhs.gov/coronavirus/covid-19-public-health-emergency/index.html.
    \397\ Centers for Disease Control and Prevention. Provisional 
COVID-19 Mortality Surveillance. Available at: https://www.cdc.gov/nchs/nvss/vsrr/covid19/.
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    With the end of the PHE and decrease in COVID-19 deaths, we 
believed the continued costs and burden to providers of reporting on 
this measure outweighed the benefit of continued information collection 
on HCP COVID-19 Vaccination in several settings. We have already 
removed this measure from the Hospital Inpatient Quality Reporting 
Program (90 FR 37010 through 37012), the Inpatient Psychiatric Facility 
Quality Reporting Program (90 FR 37657 through 37658), the Inpatient 
Rehabilitation Facility Quality Reporting Program (90 FR 37701 through 
37702), the Ambulatory Surgical Center Quality Reporting Program (90 FR 
53917 through 53919), and the Hospital Outpatient Quality Reporting 
Program (90 FR 53917 through 53919).
    Since the end of the PHE, the CDC's clinical recommendations for 
COVID-19 vaccination have changed. In December 2020, the CDC's Advisory 
Committee on Immunization Practices (ACIP) recommended that HCP should 
receive a complete vaccination course.\398\ At the time the HCP COVID-
19 Vaccination measure was adopted in August 2021, vaccination was a 
critical part of the nation's strategy to effectively counter the 
spread of COVID-19 in an effort to restore societal functioning.\399\ 
There were well-defined parameters for receiving the COVID-19 
vaccination intended to capture routine, catch-up, and risk-based 
immunization recommendations.
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    \398\ Dooling K, McClung M, Chamberland M, Marin M, Wallace M, 
Bell B, Lee GM, Talbot HK, Romero JR, Oliver SE. (2020). ``The 
Advisory Committee on Immunization Practices' Interim 
Recommendations for Allocating Initial Supplies of COVID-19 
Vaccine--United States, 2020.'' Morbidity and Mortality Weekly 
Report, 69(49): 1857-1859. http://dx.doi.org/10.15585/mmwr.mm6949e1.
    \399\ Centers for Disease Control and Prevention. (2020). COVID-
19 Vaccination Program Interim Playbook for Jurisdiction Operations. 
Available at: https://www.cdc.gov/vaccines/imz-managers/downloads/COVID-19-Vaccination-Program-Interim_Playbook.pdf.
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    However, these parameters no longer apply, due to evolving 
circumstances. The latest CDC COVID-19 vaccination recommendations for 
the 2025-2026 season are now based on shared clinical decision-
making.\400\ For shared clinical decision-making, there is not a 
default decision to vaccinate for a defined population.\401\ Given that 
there is no single default recommendation to vaccinate a defined 
population, both receipt and nonreceipt of vaccination may be 
consistent with the application of shared clinical decision-making. 
This differs from the guidance in place when this measure was 
finalized.
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    \400\ Centers for Disease Control and Prevention. (2025). 2025-
2026 COVID-19 Vaccination Guidance Available at: https://www.cdc.gov/covid/hcp/vaccine-considerations/routine-guidance.html.
    \401\ Centers for Disease Control and Prevention. (2025). ACIP 
Shared Clinical Decision-Making Recommendations. Available at: 
https://www.cdc.gov/acip/vaccine-recommendations/shared-clinical-decision-making.html.
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    On this basis, we propose to remove the measure from the PCH 
Quality Reporting Program under removal Factor 2, a measure does not 
align with current clinical guidelines or practice. We refer readers to 
section IX.E.3. of this proposed rule for a similar proposal to remove 
the HCP COVID-19 Vaccination measure in the LTCH Quality Reporting 
Program.
    If finalized, PCHs would not be required to report CY 2026 HCP 
COVID-19 Vaccination measure data for purposes of the FY 2028 program 
year. Any CY 2026 HCP COVID-19 vaccination data received by CMS would 
not be used for PCH Quality Reporting Program public reporting.
    We invite public comment on our proposal to remove the COVID-19 
Vaccination Coverage among Healthcare Personnel measure from the PCH 
Quality Reporting Program beginning with the CY 2026 reporting period/
FY 2028 program year.
4. Summary of Previously Finalized and Newly Proposed PCH Quality 
Reporting Program Measures
    Table IX.D.3. summarizes the previously finalized and newly 
proposed PCH Quality Reporting Program measure set for the FY 2028 to 
FY 2031 program years. We propose to remove the COVID-19 Vaccination 
Coverage among HCP measure as discussed in section IX.D.3.a. of this 
proposed rule, add the Advance Care Planning eCQM as discussed in 
section IX.B.1. of this proposed rule and add the Malnutrition Care 
Score eCQM as discussed in section IX.D.2.a. of this proposed rule.
BILLING CODE 4120-01-P

[[Page 19610]]

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BILLING CODE 4120-01-C
    We refer readers to the CMS QualityNet website at https://qualitynet.cms.gov/pch for additional information on the reporting 
periods and submission deadlines for each measure previously finalized 
in the PCH Quality Reporting Program.
5. Proposed Updates to the Form, Manner, and Timing of Quality Data 
Submission
    We propose to update program policies for introducing eCQMs into 
the PCH Quality Reporting Program by establishing eCQM data submission 
and reporting requirements, which would apply to the proposed Advance 
Care Planning eCQM and Malnutrition Care Score eCQM.
a. Maintenance of Technical Specifications for Quality Measures
    Section 412.24(c) of title 42 of the Code of Federal Regulations 
generally requires that a PCH participating in the PCH Quality 
Reporting Program must submit to CMS data on measures selected under 
section 1833(k)(3) of the Act in a form and manner, and at a time, 
specified by CMS. The data submission requirements, specifications 
manual, measure methodology reports, and submission deadlines are 
posted on the QualityNet website at: https://qualitynet.cms.gov (or 
other successor CMS designated websites).
    In alignment with the Hospital Inpatient Quality Reporting Program, 
we propose that the technical specifications for eCQMs for the PCH 
Quality Reporting Program would be contained in the CMS Annual Update 
for the Hospital Quality Reporting Programs (Annual Update). The Annual 
Update and implementation guidance documents are available on the eCQI 
Resource Center website at: https://ecqi.healthit.gov/. For eCQMs, we 
would generally update the measure specifications on an annual basis 
through the Annual Update process which includes code updates, logic

[[Page 19611]]

corrections, alignment with current clinical guidelines, and additional 
guidance for PCHs and EHR vendors to collect and submit data on eCQMs 
from EHRs. In addition, we would generally update related eCQM 
implementation guidance on an annual basis. We propose that PCHs would 
be required to use the eCQM electronic measure specifications and 
implementation guidance for the applicable reporting period available 
on the eCQI Resource Center website at: https://ecqi.healthit.gov/ or 
another website as designated by CMS.
    We invite public comment on this proposal.
b. Proposed Data Submission and Reporting Requirements for Electronic 
Clinical Quality Measures for the PCH Quality Reporting Program
(1) Background
    Collection and reporting of data through health IT streamlines 
quality reporting through automated electronic extraction and 
reporting. Certified health IT assists facilities in a variety of ways, 
such as by improving coordination of care with referring providers or 
labs,\402\ using eCQMs to improve quality and safety, and advancing a 
vision to eventually transition to a fully digital quality measure 
set.\403\ We acknowledge the initial investment that the implementation 
of eCQMs may require for PCHs, but we expect that this investment will 
deliver long-term burden reduction along with more accurate and timely 
access to quality information to inform patient care.
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    \402\ Assistant Secretary for Technology Policy/Office of the 
National Coordinator for Health IT (May 2024). Interoperable 
Exchange of Patient Health Information Among U.S. Hospitals: 2023. 
Available at: https://www.healthit.gov/data/data-briefs/interoperable-exchange-patient-health-information-among-us-hospitals-2023.
    \403\ Centers for Medicare & Medicaid Services. Electronic 
Clinical Quality Improvement (eCQI) Resource Center. Available at: 
https://ecqi.healthit.gov/.
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    We intend to transition to a fully digital quality measure (dQM) 
landscape, first by transitioning eCQMs to Health Level 7[supreg] Fast 
Healthcare Interoperability Resources[supreg] (FHIR[supreg])-based 
eCQMs, to promote interoperability and increase the value of quality 
measure data.404 405 While we continue to transition our 
quality measurement infrastructure to dQMs, we are advancing interim 
improvements by expanding the use of eCQMs in our quality reporting 
programs. This approach will promote meaningful progress in electronic 
quality measurement while supporting deliberate, phased conversion to 
FHIR and dQMs over time. We refer readers to our most recent request 
for information on the transition to digital quality measurement (90 FR 
36990 through 36996) for more information.
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    \404\ For more information on dQMs, visit: https://ecqi.healthit.gov/dqm/about-dqms.
    \405\ FHIR[supreg] is the registered trademark of Health Level 
Seven International (HL7), and its use does not constitute 
endorsement by HL7.
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    We refer readers to sections IX.B.1. and IX.D.2.a. of the preamble 
of this proposed rule, where we propose to adopt the Advance Care 
Planning eCQM and the Malnutrition Care Score eCQM, respectively, into 
the PCH Quality Reporting Program measure set for a full year of 
reporting beginning with the CY 2028 reporting period/FY 2030 program 
year. If our proposals are finalized, the Advance Care Planning eCQM 
and the Malnutrition Care Score eCQM would be the first eCQMs in the 
PCH Quality Reporting Program; although, CMS began providing hospitals 
with the opportunity to voluntarily submit eCQM data in CY 2013 before 
required reporting in the Hospital Inpatient Quality Reporting and 
Medicare Promoting Interoperability Programs in CY 2016. Additionally, 
eCQMs are used in the Hospital Outpatient Quality Reporting Program, 
Rural Emergency Hospital (REH) Quality Reporting Program, Merit-Based 
Incentive Payment System for clinicians, and certain CMS Innovation 
Center models.
    Introducing eCQM reporting in the PCH Quality Reporting Program 
involves establishing related policies and requirements, including eCQM 
certification requirements, data standards and formats, submission 
methods, and other program-specific requirements. In the following 
sections, we propose eCQM submission and reporting requirements for the 
PCH Quality Reporting Program that align with these other programs.
(2) Proposed eCQM Reporting and Data Submission Requirements
(a) Certification Requirements for eCQM Reporting
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69569) and the CY 
2025 OPPS/ASC final rule (89 FR 94418 through 94420), we summarized our 
requirements with respect to using technology meeting the Office of the 
National Coordinator for Health Information Technology's (ONC) health 
IT certification criteria for reporting eCQMs in the Hospital Inpatient 
Quality Reporting Program and the Hospital Outpatient Quality Reporting 
Program, respectively. We propose to adopt similar eCQM certification 
requirements in the PCH Quality Reporting Program, and to codify them 
by adding a new paragraph (g) ``Requirements for submission of 
electronic clinical quality measures (eCQMs) under the PCHQR Program'' 
to 42 CFR 412.24.
    Under this approach, we propose to codify at Sec.  
[thinsp]412.24(g)(1) the requirement for PCHs to utilize health IT 
certified to the ONC Health IT Certification Program certification 
criteria, as adopted and updated at 45 CFR 170.315(c), which cover the 
elements necessary for eCQM reporting under the PCH Quality Reporting 
Program.
    We also propose to codify at 42 CFR[thinsp]412.24(g)(2) the 
requirement that PCHs use the certified health IT described in 
paragraph (g)(1) to calculate, export, and submit results for the eCQMs 
available to report under the PCHQR Program. Additionally, we propose 
to codify at Sec.  [thinsp]412.24(g)(3) the requirement that PCHs use 
the eCQM electronic measure specifications for the applicable reporting 
period available on the eCQI Resource Center website at: https://ecqi.healthit.gov/ or another website as designated by CMS. Further, 
consistent with the other programs, we propose that health IT would not 
need to be recertified each time the eCQMs' specifications are updated 
to a more recent version. Under this proposal, this requirement would 
apply beginning with the CY 2028 reporting period/FY 2030 program year 
and for subsequent years. Any substantive changes to modernize 
electronic submission methods would be proposed in future rulemaking.
(b) File Format for eCQM Reporting
    When EHRs and health IT systems capture data in standardized 
formats, the information is represented and interpreted consistently, 
enabling automated computation without manual interpretation. As 
described in the FY 2016 IPPS/LTCH PPS final rule (80 FR 49701), these 
standards are referred to as content exchange standards because the 
standards detail how data should be represented and the relationships 
between data elements. This allows the data to be exchanged across EHRs 
and health IT systems while retaining their meaning. At this time, the 
Quality Reporting Document Architecture (QRDA) standard is the standard 
file format used for eCQM submission in CMS quality programs that rely 
on QRDA-based eCQM reporting. The QRDA standard provides a document 
format and standard structure to electronically report quality measure 
data, promotes consistent representation of the data, and enables 
calculation of eCQM measure results.

[[Page 19612]]

    To utilize the same file format requirements currently applied in 
the Hospital Inpatient Quality Reporting Program (85 FR 58940), the 
Hospital Outpatient Quality Reporting Program (86 FR 63869), the REH 
Quality Reporting Program (90 FR 53954), and the Medicare Promoting 
Interoperability Program (80 FR 49706), we propose comparable file 
format requirements for the PCH Quality Reporting Program beginning 
with the CY 2028 reporting period/FY 2030 program year. Specifically, 
we propose that a PCH: (1) must submit eCQM data via the QRDA Category 
I (QRDA I) file format; \406\ (2) may use third parties to submit QRDA 
I files on their behalf; \407\ and (3) may either use abstraction or 
pull the data from non-certified sources in order to then input these 
data into certified health IT for capture and reporting in the QRDA I 
file format. Under this proposal, we expect QRDA I files to reflect 
data for one patient per file per quarter with five key elements 
necessary to identify the file: (1) CCN; (2) CMS Program Name; (3) EHR 
Patient ID; (4) Reporting period specified in the Reporting Parameters 
Section; and (5) EHR Submitter ID. For technical guidance in 
implementing these standards for quality reporting, we refer readers to 
the QRDA Implementation Guides available at: https://ecqi.healthit.gov/qrda/versions.
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    \406\ QRDA I is an individual patient-level quality report that 
contains quality data for one patient for one or more eCQMs. QRDA 
creates a standard method to report quality measure results in a 
structured, consistent format and can be used to exchange eCQM data 
between systems.
    \407\ The PCH remains responsible for ensuring the data 
submitted by a third party is true, accurate, and complete.
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    In addition, we propose that a PCH could meet the eCQM reporting 
requirements by submitting data via QRDA I files, submitting a zero-
denominator declaration, or submitting a case threshold exemption. We 
discuss the zero-denominator declaration and case threshold exemptions 
in the subsequent sections. We also refer readers to section IX.D.5.a. 
of this proposed rule where we outline the maintenance of technical 
specifications including those for eCQMs.
(c) Zero Denominator Declarations
    We understand there may be situations in which a PCH does not have 
data to report on a particular eCQM. Therefore, we propose that if the 
PCH's health IT is certified to an eCQM but the PCH does not have 
patients that meet the denominator criteria of that eCQM, the PCH would 
submit a zero in the denominator for that eCQM. Submission of a zero in 
the denominator for such an eCQM would qualify as a successful 
submission for that eCQM.
(d) Case Threshold Exemptions
    We understand that in some cases, a PCH may not meet the case 
threshold of discharges for a particular eCQM to reliably calculate 
performance on the measure. We propose to align with the case threshold 
exemption policy from the Medicare Promoting Interoperability Program 
(77 FR 54080), the Hospital Inpatient Quality Reporting Program (79 FR 
50323 and 50324), the Hospital Outpatient Quality Reporting Program (86 
FR 63869), and the REH Quality Reporting Program (90 FR 53954). As 
stated for the Hospital Inpatient Quality Reporting Program, the case 
threshold exemption means that for each quality measure where the 
minimum number of patients that meet the patient population denominator 
criteria for the relevant reporting period is not met, a hospital could 
declare a ``case threshold exemption.'' We propose a PCH using 
certified health IT would be exempt from reporting on that eCQM if the 
PCH has 5 or fewer applicable inpatient encounters or discharges per 
quarter or 20 or fewer applicable inpatient encounters or discharges 
per year (Medicare and non-Medicare combined), with applicability 
defined by specifications for each eCQM's denominator population. Case 
threshold exemptions would be entered on the Denominator Declaration 
screen within CMS' Hospital Quality Reporting System available during 
the submission period. The exemption would not have to be used, and a 
PCH could report those individual cases if they elect to do so. 
However, the measure rate would not be publicly reported if below the 
case threshold. We propose to adopt the case threshold exemption for 
the PCH Quality Reporting Program beginning with the CY 2028 reporting 
period/FY 2030 program year.
(3) Proposed Submission Deadlines for eCQM Data
    In the FY 2017 IPPS/LTCH PPS final rule (81 FR 57171 and 57172), 
the Hospital Inpatient Quality Reporting Program aligned its eCQM 
submission deadline with that of the Medicare Promoting 
Interoperability Program. The eCQM submission deadline we have 
established for those two programs is by the end of 2 months following 
the close of the calendar year reporting period.
    To align with these existing programs, we propose to require eCQM 
data submission for the PCH Quality Reporting Program by the end of 2 
months following the close of the calendar year for the CY 2028 
reporting period/FY 2030 program year and for subsequent years. We 
believe that by aligning with these existing programs' deadlines we can 
minimize burden and simplify understanding of the data reporting 
requirements. For example, for the CY 2028 reporting period/FY 2030 
program year, a PCH would be required to submit eCQM data to CMS by 
February 28, 2029, which is the end of 2 months following the close of 
the calendar year (December 31, 2028). If this date falls on a weekend 
or Federal holiday, the submission deadline would be moved to the next 
business day under established reporting practices.
    We invite public comment on these eCQM submission and reporting 
proposals.
c. Review and Corrections Period for eCQM Data Submitted to the PCH 
Quality Reporting Program
    In alignment with the Hospital Inpatient Quality Reporting Program 
(86 FR 63870), we propose a review and corrections period for eCQM data 
which would run concurrently with the data submission period. The 
review and corrections period is from the time the submission period 
opens to the submission deadline. In the Hospital Quality Reporting 
System, providers can submit QRDA Category I test and production data 
files and can correct QRDA Category I test and production data files 
before production data are submitted for final reporting. We encourage 
early testing and the use of pre-submission testing tools to reduce 
errors and inaccurate data submissions in eCQM reporting. The Hospital 
Quality Reporting System does not allow data to be submitted or 
corrected after the annual deadline. We refer readers to the Hospital 
Quality Reporting System website (available at: https://hqr.cms.gov/hqrng/support), the eCQI Resource Center (available at: https://ecqi.healthit.gov/), and the CMS QualityNet website (https://qualitynet.cms.gov/pch/public-reporting) for more resources on eCQM 
reporting, submission deadlines, and program notifications for the PCH 
Quality Reporting Program.
    We invite public comment on our proposal.

E. Proposed Changes to the Long-Term Care Hospital Quality Reporting 
Program (LTCH QRP)

1. Background and Statutory Authority
    The Long-Term Care Hospital Quality Reporting Program (LTCH QRP) is 
authorized by section 1886(m)(5) of the Act, and it applies to all 
hospitals

[[Page 19613]]

certified by Medicare as long-term care hospitals (LTCHs). Section 
1886(m)(5)(C) of the Act requires LTCHs to submit to the Secretary 
quality measure data specified under section 1886(m)(5)(D) in a form 
and manner, and at a time, specified by the Secretary. In addition, 
section 1886(m)(5)(F) of the Act requires LTCHs to submit data on 
quality measures under section 1899B(c)(1) of the Act, resource use or 
other measures under section 1899B(d)(1) of the Act, and standardized 
patient assessment data required under section 1899B(b)(1) of the Act. 
LTCHs must submit the data required under section 1886(m)(5)(F) of the 
Act in the form and manner, and at the time, specified by the 
Secretary. Section 1886(m)(5)(A) of the Act requires the Secretary to 
reduce by 2 percentage points the annual update to the LTCH PPS 
standard Federal rate for discharges for an LTCH during a fiscal year 
if the LTCH has not submitted data to the Secretary in accordance with 
the LTCH QRP requirements specified for that fiscal year. Section 1890A 
of the Act requires that the Secretary establish and follow a pre-
rulemaking process, in coordination with the consensus-based entity 
(CBE) with a contract under section 1890(a) of the Act, to solicit 
input from certain groups regarding the selection of quality and 
efficiency measures for the LTCH QRP. We have codified our program 
requirements in our regulations at 42 CFR 412.560.
    In this proposed rule, we are proposing the removal of two 
measures, specifically the COVID-19 Vaccination Coverage Among 
Healthcare Personnel (HCP) measure and the COVID-19 Vaccine: Percent of 
Patients/Residents Who Are Up to Date measure, beginning with the FY 
2028 LTCH QRP as described in sections IX.E.3. and IX.E.4. of the 
preamble of this proposed rule. In section IX.E.6.b, of the preamble of 
this proposed rule, we are also proposing to revise the LTCH QRP Data 
Submission Deadlines beginning with the FY 2029 LTCH QRP. We are also 
soliciting public comments on one Request for Information (RFI) on 
future measure concepts for the LTCH QRP in section IX.E.5 of the 
preamble of this proposed rule.
2. General Considerations Used for the Selection of Measures for the 
LTCH QRP--Quality Measures Currently Adopted for the LTCH QRP
    For a detailed discussion of the considerations we use for the 
selection of LTCH QRP quality, resource use, and other measures, we 
refer readers to the FY 2016 Inpatient Prospective Payment System 
(IPPS)/LTCH PPS final rule (80 FR 49728). The LTCH QRP currently has 18 
adopted measures, which are set out in Table IX.E.-01. We did not 
propose to adopt any new measures for the LTCH QRP.
    For a discussion of the factors we use to evaluate whether a 
measure should be removed from the LTCH QRP, we refer readers to the FY 
2019 IPPS/LTCH PPS final rule (83 FR 41624 through 41634) and to the 
regulations at Sec.  412.560(b)(3).
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BILLING CODE 4120-01-C
3. Proposal To Remove the COVID-19 Vaccination Coverage Among 
Healthcare Personnel (HCP) Measure Beginning With the FY 2028 LTCH QRP
    We refer readers to the FY 2022 IPPS/LTCH PPS final rule where we 
adopted the COVID-19 Vaccination Coverage among HCP measure (HCP COVID-
19 Vaccine measure) into the LTCH QRP (86 FR 45438 through 45446) and 
the FY 2024 LTCH PPS final rule where we modified the HCP COVID-19 
Vaccine measure to account for updated COVID-19 vaccine guidance (88 FR 
59138 through 59144). The HCP COVID-19 Vaccine measure requires LTCHs 
to report the COVID-19 vaccination status of HCP through the National 
Healthcare Safety Network (NHSN). LTCHs must collect current 
vaccination status for all employees, licensed independent 
practitioners, adult trainees, students, and volunteers, as well as 
certain contract personnel one week out of each month and report these 
data on a quarterly basis (88 FR 59139).
    We are proposing to remove the HCP COVID-19 Vaccine measure 
beginning with the FY 2028 LTCH QRP under measure removal Factor 3; a 
measure does not align with current clinical guidelines or practice 
(Sec.  412.560(b)(3)(iii)). When we originally adopted this measure, 
the United States was in the midst of a Public Health Emergency (PHE) 
with millions of COVID-19 cases and over 550,000 COVID-19 deaths (88 FR 
59138 and 59139). In March 2021, when this measure was being proposed, 
the United States was averaging over 5,000 deaths per week. In April 
2023, the last full month of the PHE, the weekly number of deaths due 
to COVID-19 averaged around 1,300.\408\ While preventing the spread of 
COVID-19 remains a public health goal, the PHE ended on May 11, 
2023,\409\ and the COVID-19 death rate has continued to decrease. The 
weekly number of deaths attributed to COVID-19 during the past 6 months 
(weeks ending 8/2/25 through 1/31/26) ranged from 188 to 488.\410\
---------------------------------------------------------------------------

    \408\ Provisional COVID-19 Deaths, by Week, in The United 
States, Reported to CDC. Accessed on March 27, 2025, via https://covid.cdc.gov/covid-data-tracker/#trends_weeklydeaths_select_00.
    \409\ https://www.hhs.gov/coronavirus/covid-19-public-health-emergency/index.html.
    \410\ Provisional COVID-19 Mortality Surveillance https://www.cdc.gov/nchs/nvss/vsrr/covid19/https://covid.cdc.gov/covid-data-tracker/.
---------------------------------------------------------------------------

    With the end of the PHE and decrease in COVID-19 deaths, we 
believed the continued costs and burden to providers of reporting on 
this measure outweighed the benefit of continued information collection 
on the HCP COVID-19 Vaccine measure in several settings. We have 
already removed this measure from the Hospital Inpatient Quality 
Reporting Program (90 FR 37010 through 37012), the Inpatient 
Psychiatric Facility Quality Reporting Program (90 FR 37657 through 
37658), the Ambulatory Surgical Center Quality Reporting (90 FR 53917 
through 53919), the Hospital Outpatient Quality Reporting Programs (90 
FR 53917 through 53919), and the Inpatient Rehabilitation Facility 
Quality Reporting Program (IRF QRP) (90 FR 37700 through 37702).
    Since the end of the PHE, the CDC's clinical recommendations for 
COVID-19 vaccination have changed. In December 2020, the CDC's Advisory 
Committee on Immunization Practices (ACIP) recommended that HCP should 
receive a complete vaccination course.\411\ At the time the HCP COVID-
19 Vaccine measure was adopted in August 2021, vaccination was a 
critical part of the nation's strategy to effectively counter the 
spread of COVID-19 in an effort to restore societal functioning.\412\ 
There were well-defined parameters for receiving the COVID-19 
vaccination intended to capture routine, catch-up, and risk-based 
immunization recommendations.
---------------------------------------------------------------------------

    \411\ Dooling, K, McClung, M, et al. ``The Advisory Committee on 
Immunization Practices' Interim Recommendations for Allocating 
Initial Supplies of COVID-19 Vaccine--United States, 2020.'' Morb. 
Mortal Wkly Rep. 2020; 69(49): 1857-1859.
    \412\ Centers for Disease Control and Prevention. (2020. COVID-
19 Vaccination Program Interim Playbook for Jurisdiction Operations. 
Accessed March 6, 2026 at https://www.cdc.gov/vaccines/imz-managers/downloads/COVID-19-Vaccination-Program-Interim_Playbook.pdf.
---------------------------------------------------------------------------

    However, these parameters no longer apply, due to evolving 
circumstances. The latest CDC COVID-19 vaccination recommendations for 
the 2025-2026 season are now based on shared clinical decision-making 
(also known as individual-based decision-making).\413\ For shared 
clinical decision-making, there is not a default decision to vaccinate 
for a defined population.\414\ Given that there is no single default 
recommendation to vaccinate a defined population, both receipt and 
nonreceipt of vaccination may be consistent with the application of 
shared clinical decision-making. This differs from the guidance in 
place when this measure was finalized.
---------------------------------------------------------------------------

    \413\ 2025-2026 COVID-19 Vaccination Guidance 2025-2026 COVID-19 
Vaccination Guidance [verbar] Covid [verbar] CDC.
    \414\ ACIP Shared Clinical Decision-Making Recommendations ACIP 
Shared Clinical Decision-Making Recommendations [verbar] ACIP 
[verbar] CDC.
---------------------------------------------------------------------------

    On this basis, we are proposing to remove the measure from the LTCH 
QRP under removal Factor 3, measure does not align with current 
clinical guidelines or practice.
    If finalized as proposed, LTCHs would not be required to report CY 
2026 HCP COVID-19 Vaccine measure data for purposes of the FY 2028 
payment determination (that is, LTCHs that do not report CY 2026 HCP 
COVID-19 vaccine measure data would not be penalized for FY 2028 annual 
payment update under the LTCH QRP). Any CY 2026 HCP COVID-19 vaccine 
data received by CMS would not be used for LTCH QRP compliance or 
public reporting.
    We invite public comment on our proposal to remove the COVID-19 
Vaccination Coverage among Healthcare Personnel measure from the LTCH 
QRP beginning with the FY 2028 LTCH QRP.
4. Proposal To Remove the COVID-19 Vaccine: Percent of Patients/
Residents Who Are Up to Date Measure Beginning With the FY 2028 LTCH 
QRP
    We refer readers to the FY 2024 IPPS/LTCH PPS final rule (88 FR 
59243 through 59250), where we finalized the COVID-19 Vaccine: Percent 
of Patients/Residents Who Are Up to Date (Patient/Resident COVID-19 
Vaccine) measure for the FY 2026 LTCH QRP. The measure is an 
assessment-based process measure that reports the percent of stays in 
which patients in an LTCH are up to date on their COVID-19 vaccinations 
per the CDC's latest guidance. In the FY 2026 LTCH PPS final rule (90 
FR 37033 through 90 FR 37034), we finalized a modification to the 
reporting requirements for this measure to exclude patients who expired 
in the LTCH beginning with the FY 2028 LTCH QRP.
    We are proposing to remove the Patient/Resident COVID-19 Vaccine 
measure from the LTCH QRP beginning with the FY 2028 LTCH QRP under 
removal Factor 3: a measure does not align with current clinical 
guidelines or practice (Sec.  412.560(b)(3)(iii)).
    When we originally adopted the Patient/Resident COVID-19 Vaccine 
measure, COVID-19 continued to be a major challenge for LTCHs, with 
older adults at a significantly higher risk of mortality, severe 
disease, and death following infection (88 FR 59243 and 59244). In 
August 2023, when this measure was adopted, CDC COVID-19 vaccination 
guidance emphasized population-level vaccination expectations for older 
adults and other high-risk groups, and the evidence base focused on 
demonstrating broad protective benefit at the population level. CDC 
data at that time showed that, among adults aged 50 years and older, 
individuals who had received a

[[Page 19615]]

primary vaccination series and booster dose experienced significantly 
lower risks of COVID-19-related hospitalization and death compared to 
those who were unvaccinated, and that additional booster doses, 
including bivalent booster formulations, further reduced the risk of 
severe outcomes, including hospitalization and death, in the context of 
emerging variants (88 FR 59244). These data supported an infection 
prevention framework under which being ``up to date'' with COVID-19 
vaccination was treated as a broadly applicable expectation for high-
risk populations and therefore appropriate for monitoring through a 
facility-level quality measure.
    At the time the Patient/Resident COVID-19 Vaccine measure was 
adopted, it was intended to capture routine, catch-up, and risk-based 
immunization recommendations. Due to evolving circumstances, the latest 
CDC COVID-19 vaccination recommendations for the 2025-2026 season are 
now based on shared clinical decision-making (also known as individual-
based decision-making).\415\ For shared clinical decision-making, there 
is not a default decision to vaccinate for a defined population.\416\ 
Given that there is no single default recommendation to vaccinate a 
defined population, both vaccination and non-vaccination may be 
consistent with application of shared clinical decision-making. This 
differs from the guidance in place when this measure was finalized.
---------------------------------------------------------------------------

    \415\ 2025-2026 COVID-19 Vaccination Guidance 2025-2026 COVID-19 
Vaccination Guidance [verbar] Covid [verbar] CDC.
    \416\ ACIP Shared Clinical Decision-Making Recommendations ACIP 
Shared Clinical Decision-Making Recommendations [verbar] ACIP 
[verbar] CDC.
---------------------------------------------------------------------------

    When there were more narrow parameters for receiving the COVID-19 
vaccination, the Patient/Resident COVID-19 Vaccine measure promoted 
consumer transparency and choice by giving consumers clear information 
on the number of patients in an LTCH who were vaccinated. However, 
these parameters no longer apply in light of current CDC clinical 
guidance that recommends shared clinical decision-making for COVID-19 
vaccination decisions. As a result, both vaccination and non-
vaccination may reflect an ``up to date'' status using the guidance of 
shared clinical decision-making, and the Patient/Resident COVID-19 
Vaccine measure may no longer provide information on the prevalence of 
COVID-19 vaccination in the LTCH setting. On this basis, we are 
proposing to remove the measure from the LTCH QRP under removal Factor 
3: a measure does not align with current clinical guidelines or 
practice.
    Removing this measure would bring LTCH in to alignment with other 
post-acute care settings since we have already removed this measure 
from the Home Health Quality Reporting Program (HH QRP) (90 FR 55416 
through 55418) and the Inpatient Rehabilitation Facility Quality 
Reporting Program (IRF QRP) (90 FR 37702 through 37704).
    We are proposing that beginning with patients discharged on or 
after October 1, 2026, LTCHs would no longer be required to collect and 
submit the Patient/Resident COVID-19 Vaccine measure data to CMS. We 
are also proposing to remove the Patient's COVID-19 vaccination is up 
to date data element (O0350) from the LCDS as of October 1, 2028, since 
it is not technically feasible to remove this data element earlier. 
However, under our proposal, this data element would become voluntary 
and LTCHs would not be required to collect and submit Patient/Resident 
COVID-19 Vaccine data beginning with patients discharged on or after 
October 1, 2026.
    We invite public comment on our proposal to remove the COVID-19 
Vaccine: Percent of Patients/Residents Who Are Up to Date measure from 
the LTCH QRP beginning with the FY 2028 LTCH QRP.
5. LTCH QRP Measure Concepts Under Consideration for Future Years--
Request for Information (RFI)
    In the FY 2024 IPPS/LTCH PPS proposed rule (88 FR 27150 through 
27153), we included a request for information (RFI) on a set of 
principles for selecting and prioritizing LTCH QRP measures, 
identifying measurement gaps and suitable measures for filling these 
gaps. We refer readers to the FY 2024 IPPS/LTCH PPS final rule (88 FR 
59250 and 59251) for a summary of the public comments we received in 
response to the RFI.
    We are seeking input on the importance, relevance, appropriateness, 
and applicability of the quality measure concept of advanced care 
planning for future years in the LTCH QRP. Advance care planning is a 
continuous process that supports people in understanding and 
communicating their goals, values, and preferences regarding future 
medical decisions.\417\ The Patient Self Determination Act of 1990 
\418\ supports this process by requiring healthcare facilities to 
inform patients of their rights regarding medical decisions, including 
advance directives and end of life care.\419\ In post-acute care (PAC) 
settings, where patients recover from acute illness, injury, or major 
procedures, their needs and goals may evolve as their condition 
changes. Factors such as clinical stability, functional status, therapy 
tolerance, cognition function, prognosis, and personal preferences can 
all shift during recovery. Regular reassessment and transparent 
communication are essential to maintaining person-centered care, while 
advance care planning facilitates shared decision-making by documenting 
patient preferences and ensuring goal-concordant care throughout care 
transitions.\420\
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    \417\ McMahan, R.D., Tellez, I., & Sudore, R.L. (2021). 
Deconstructing the Complexities of Advance Care Planning Outcomes: 
What Do We Know and Where Do We Go? A Scoping Review. Journal of the 
American Geriatrics Society, 69(1), 234-244. https://doi.org/10.1111/jgs.16801.
    \418\ Pub. L. 101-508, sections 4206, 4751.
    \419\ https://www.congress.gov/bill/101st-congress/house-bill/5835.
    \420\ McMahan RD, Tellez I, Sudore RL. Deconstructing the 
Complexities of Advance Care Planning Outcomes: What Do We Know and 
Where Do We Go? A Scoping Review. J Am Geriatr Soc. 2021 
Jan;69(1):234-244. doi: 10.1111/jgs.16801. Epub 2020 Sep 7. PMID: 
32894787; PMCID: PMC7856112.
---------------------------------------------------------------------------

    As we review new measure concepts, we will prioritize evidence-
based outcome measures that promote person-centered care practices. We 
are seeking input on the relevant aspects of advanced care planning and 
measures appropriate for the LTCH setting.
6. Form, Manner, and Timing of Data Submission Under the LTCH QRP
a. Background
    We refer readers to the regulatory text at Sec.  412.560(b) for 
information regarding the current policies for reporting specified data 
for the LTCH QRP.
b. Proposal To Revise LTCH QRP Data Submission Deadlines Beginning With 
the FY 2029 LTCH QRP
(1) Background
    Sections 1886(m)(5)(E) and 1899B(f) and (g) of the Act require CMS 
to provide feedback to LTCHs and to publicly report their performance 
on quality and other measures specified under the LTCH QRP. More 
specifically, section 1899B(f)(1) of the Act requires the Secretary to 
provide confidential feedback reports to LTCHs on their performance on 
the quality, resource use, and other measures specified for the LTCH 
QRP. Section 1899B(f)(2) of the Act provides that, to the extent 
feasible, the Secretary must make these confidential feedback reports 
available not less frequently than on a quarterly basis, except in the 
case of measures reported on an annual basis, in which case the 
confidential feedback reports

[[Page 19616]]

may be made available annually. Additionally, sections 1886(m)(5) and 
1899B(g)(1) of the Act require the Secretary to provide for the public 
reporting of each LTCH's performance on the measures specified for the 
LTCH QRP by establishing procedures for making the performance data 
available to the public. Sections 1886(m)(5)(E) and 1899B(g)(2) of the 
Act specifically require that such procedures must ensure that LTCHs 
can review the data and other information before it is made public.
    For LCDS assessment-based measures, in the FY 2013 IPPS/LTCH PPS 
final rule (77 FR 53636 and 53637), we finalized submission deadlines 
for LTCHs to submit data quarterly for each of the finalized measures 
in the FY 2013 rule, requiring LTCHs to submit data collected during 
each quarter for the FY 2015 payment determination approximately 4.5 
months (135 days) after the end of the quarter. We also finalized in 
the FY 2013 rule that LTCHs would have a shorter data submission 
timeframe for each of the measures for the FY 2016 payment 
determination. Specifically, for each quarter in which data was 
collected for the FY 2016 payment determination, we finalized 
submission deadlines that were approximately 45 days after the end of 
each quarter (77 FR 53636 and 53637). However, in the FY 2016 IPPS/LTCH 
PPS final rule (80 FR 49749 through 49751), we finalized a requirement 
that LTCHs submit data within 4.5 months of the end of each calendar 
quarter, beginning with the FY 2017 LTCH QRP, unless otherwise 
specified for a measure. We proposed and finalized this modification to 
the LTCH QRP data submission deadlines in order to align with the 
Inpatient Rehabilitation Facility Quality Reporting Program (IRF QRP) 
and Hospital Inpatient Quality Reporting (IQR) Program (80 FR 49749 
through 49751).
    We also finalized data submission deadlines for LTCH QRP measures 
that are submitted via the Centers for Disease Control and Prevention's 
(CDC) National Healthcare Safety Network (NHSN). In the FY 2014 IPPS/
LTCH PPS final rule (78 FR 50882), we finalized that for the NHSN 
Catheter Associated Urinary Tract Infection (CAUTI), the NHSN Central 
Line-Associated Bloodstream Infection (CLABSI) and the Facility-wide 
Inpatient Hospital-onset Clostridium difficile Infection (CDI) Outcome 
Measures, each facility's data must be entered into NHSN no later than 
45 days after the end of the reporting quarter. However, in the FY 2016 
IPPS/LTCH PPS final rule (80 FR 49749 through 49751), we finalized a 
requirement that LTCHs submit data within 4.5 months of the end of each 
calendar quarter for these measures. We also finalized that the data 
collection period for the Influenza Vaccination Coverage among 
Healthcare Personnel (HCP) measure would be October 1 through March 31, 
with a data submission deadline of May 15th for each influenza season 
(78 FR 50882 and 50883). In the FY 2024 IPPS/LTCH PPS final rule (88 FR 
59138), we finalized that the COVID-19 Vaccination Coverage among HCP 
measure would be reported to the CDC through the NHSN at least 1 week 
per month, with the CDC reporting data to CMS quarterly and allowing 
for corrections in the NHSN application in alignment with CMS data 
submission deadlines.
    Public reporting of data collected under quality programs, such as 
the LTCH QRP, is designed to provide consumers and their families with 
the most current information to empower them to make quality-informed 
decisions about where to receive their care. We have identified that 
the time between when data on measures is submitted to us and when 
those data are publicly reported (approximately nine months) may be too 
long to provide the most accurate and up to date information for the 
public. For example, through technical expert panels (TEPs), we have 
received feedback from patient caregiver advocates that the aged data 
used in publicly reported quality measures diminishes their value to 
consumers.
    Currently, the largest contributing factor to the nine-month lag 
between the end of the data collection period and when measures are 
publicly reported is the 4.5-month timeframe for data submission. 
Reducing the data submission timeframe from 4.5 months to 45 days could 
reduce this lag by up to three months, resulting in more timely public 
reporting of data for consumers and increasing the value of publicly 
reported data. Additionally, this timeframe provides LTCHs with more 
recent data in support of their quality improvement activities.
    In the FY 2026 IPPS/LTCH PPS proposed rule, we included a request 
for information (RFI) on reducing the data submission deadline from 4.5 
months to 45 days (90 FR 18353). We refer readers to the FY 2026 IPPS/
LTCH PPS final rule (90 FR 37042) for a full summary of the public 
comments received.
(2) Proposal To Revise the LTCH QRP Assessment Data Submission Deadline
    Beginning with the FY 2029 LTCH QRP, we are proposing that LTCHs 
must complete their data submissions and make corrections to their 
assessment data where necessary no later than the 15th day of the 
second month after the end of the calendar quarter. However, if the 
15th day of the second month falls on a Friday, weekend, or Federal 
holiday, the date is delayed until 11:59 p.m. EST on the next business 
day. Specifically, we are proposing that LTCHs would follow the 
deadlines presented in Table IX.E.02 for the FY 2029 LTCH QRP. We also 
propose that similar calendar year data submission deadlines would 
apply to future years' payment determinations.
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[[Page 19617]]


    We believe that requiring LTCHs to submit LCDS assessment data by 
the 15th day of the second month after the end of the calendar quarter 
is reasonable. We conducted an analysis on the potential impact of 
reducing the timeframe by determining how many assessments are 
currently being submitted by this deadline, which is approximately 
within 45 days of the end of the quarter. Using 2024 data, we 
identified that 98.36 percent of all LCDS assessments were submitted to 
CMS within a 45-day timeframe. Of the remaining 1.64 percent submitted 
beyond 45 days, 0.08 percent were submitted after the current 4.5-month 
data submission deadline and would not be further impacted by a change 
in the data submission deadline. Therefore, only 1.56 percent of LCDS 
assessments would be impacted by changing the data submission deadline 
from 4.5 months to require data submission by the 15th day of the 
second month after the end of the calendar quarter.
(3) Proposal To Revise the CDC NHSN Data Submission Deadlines
    Beginning with the FY 2029 LTCH QRP, we are proposing that LTCHs 
must complete their data submissions and make corrections to their CDC 
NHSN data where necessary no later than the 15th day of the second 
month after the end of the calendar quarter. However, if the 15th day 
of the second month falls on a Friday, weekend, or Federal holiday, the 
date is delayed until 11:59 p.m. EST on the next business day. 
Specifically, we are proposing that LTCHs would follow the deadlines 
presented in Table IX.E.03 for the FY 2029 LTCH QRP. We are also 
proposing that similar calendar year data submission deadlines would 
apply to future years' payment determinations.
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    We believe that requiring LTCHs to submit CDC NHSN assessment data 
by the 15th day of the second month after the end of the calendar 
quarter is reasonable. We note that there would be no change in the 
data submission deadline for the Influenza Vaccination Coverage among 
HCP measure, as the previously finalized data submission date is May 
15th for each influenza season. We conducted an analysis on the 
potential impact of reducing the timeframe by determining how many 
LTCHs are currently reporting data by this deadline, which is 
approximately within 45 days of the end of the quarter. Using FY 2025 
data, we identified that 88 percent of all LTCHs submitted CDC NHSN 
data within a 45-day timeframe.
    On these bases, we believe revising the LTCH QRP data submission 
deadline for LCDS and CDC NHSN data to require LTCHs to submit CDC NHSN 
data by the 15th day of the second month after the end of the calendar 
quarter would improve the timeliness of public reporting by three 
months, which is beneficial to both consumers and LTCHs, with no change 
in burden to LTCHs.
    We invite comment on this proposal to require LTCHs to submit LCDS 
assessment data and CDC NHSN data by the 15th day of the second month 
after the end of the calendar quarter beginning with the FY 2029 LTCH 
QRP.
7. Policies Regarding Public Display of Measure Data for the LTCH QRP
a. Background
    For a more detailed discussion about our policies regarding public 
display of LTCH QRP measure data and procedures for the opportunity to 
review and correct data and information, we refer readers to the FY 
2017 IPPS/LTCH PPS final rule (81 FR 57231 through 57236).
b. Proposal To End the Public Display of COVID-19 Vaccination Coverage 
Among Healthcare Personnel (HCP) Measure
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45438 through 
45446), we finalized our proposal to publicly report the COVID-19 
Vaccination Coverage among Healthcare Personnel (HCP COVID-19 Vaccine) 
measure beginning with the September 2022 Care Compare refresh on 
Medicare.gov. In section IX.E.3. of the preamble of this proposed rule, 
we are proposing to remove the HCP COVID-19 Vaccine) measure beginning 
with the FY 2028 LTCH QRP. If finalized as proposed, an LTCHs HCP 
COVID-19 measure data would be publicly reported for the last time with 
the September 2026 Care Compare refresh on Medicare.gov, based on data 
from Q4 of 2025. Thereafter, we would no longer display an LTCHs' HCP 
COVID-19 Vaccine measure data on the Care Compare tool at Medicare.gov.
    We invite comment on our proposal to end public display of the HCP 
COVID-19 Vaccine measure data after the September 2026 Care Compare 
refresh on the Care Compare tool at Medicare.gov.
c. Proposal To End the Public Display of the COVID-19 Vaccine: Percent 
of Patients/Residents Who Are Up to Date Measure
    In the FY 2024 IPPS/LTCH PPS final rule (88 FR 59243 through 
59250), we finalized our proposal to begin publicly displaying data for 
the Patient/Resident COVID-19 measure beginning with the September 2025 
Care Compare refresh. In section IX.E.4. of the preamble of this 
proposed rule, we are proposing to

[[Page 19618]]

remove the Patient/Resident COVID-19 Measure beginning with the FY 2028 
LTCH QRP. However, if this proposal is finalized, the reporting of data 
for the Patient's COVID-19 vaccination is up to date data element would 
be voluntary effective October 1, 2026, through September 30, 2027. If 
finalized as proposed, we are proposing that the Patient/Resident 
COVID-19 Vaccine measure data would be publicly reported for the last 
time with the September 2026 Care Compare refresh on Medicare.gov, 
based on data from Q4 of 2025.
    We invite public comment on our proposal to end the public display 
of Patient/Resident COVID-19 Vaccine measure data after the September 
2026 Care Compare refresh on Medicare.gov.

F. Proposed Changes to the Medicare Promoting Interoperability Program

1. Statutory Authority for the Medicare Promoting Interoperability 
Program for Eligible Hospitals and Critical Access Hospitals (CAHs)
    Sections 1886(b)(3)(B)(ix) and 1814(l)(4) of the Act (as amended by 
the Health Information Technology for Economic and Clinical Health Act, 
Title XII of Division A and Title IV of Division B of the American 
Recovery and Reinvestment Act of 2009 [ARRA], Pub. L. 111-5) authorize 
downward payment adjustments under Medicare, beginning with FY 2015 for 
eligible hospitals and CAHs that do not successfully demonstrate 
meaningful use of certified electronic health record technology (CEHRT) 
for the applicable electronic health record (EHR) reporting periods. 
Section 602 of Title VI, Division O of the Consolidated Appropriations 
Act, 2016 (Pub. L. 114-113) added subsection (d) hospitals in Puerto 
Rico as eligible hospitals under the Medicare EHR Incentive Program 
(now known as the Medicare Promoting Interoperability Program) and 
extended the participation timeline for these hospitals such that 
downward payment adjustments were authorized beginning in FY 2022 for 
section (d) Puerto Rico hospitals that do not successfully demonstrate 
meaningful use of CEHRT for the applicable EHR reporting periods.
2. ONC Health IT Certification Program Proposed Updates Relevant to the 
Medicare Promoting Interoperability Program
a. Background
    In the Health Data, Technology, and Interoperability: ASTP/ONC 
Deregulatory Actions to Unleash Prosperity proposed rule (90 FR 60970) 
(HTI-5 proposed rule), which appeared in the Federal Register on 
December 29, 2025, ONC \421\ proposed a wide-ranging set of updates to 
the ONC Health IT Certification Program. The HTI-5 proposed rule 
focuses on deregulatory actions in 45 CFR part 170 (Health Information 
Technology Standards, Implementation Specifications, and Certification 
Criteria and Certification Programs for Health Information Technology) 
and 45 CFR part 171 (Information Blocking). The HTI-5 proposed rule 
seeks to reduce burden, offer flexibility to developers and providers, 
and support innovation through the removal and revision of certain 
certification criteria and regulatory provisions. The following 
summarizes proposals in the HTI-5 proposed rule that are relevant to 
eligible hospitals and CAHs participating in the Medicare Promoting 
Interoperability Program.
---------------------------------------------------------------------------

    \421\ ASTP/ONC is now referred to as ONC, pursuant to a notice 
published in the Federal Register on April 1, 2026 (91 FR 16204). 
Although at the time of specific references noted herein ONC was 
either referenced as ASTP/ONC or as ONC, for clarity all references 
in this document are now noted as ONC.
---------------------------------------------------------------------------

    In the HTI-5 proposed rule, ONC identified 34 certification 
criteria for removal and 7 certification criteria for revision. ONC 
stated that removing or revising these criteria would reduce burden and 
costs for health IT developers and clinicians, partly due to the 
decreased necessity to maintain ongoing conformance with certification 
requirements (90 FR 60973).
    We have summarized in Table IX.F.-01 the potential impact on 
Medicare Promoting Interoperability Program participants of the 
proposed certification criteria removals and revisions. Table IX.F.-01 
describes how criteria that are the subject of HTI-5 proposals are 
incorporated into the definition of CEHRT in 42 CFR 495.4. In addition 
to the health IT certification criteria specified in the CEHRT 
definition in 42 CFR 495.4, the definition includes EHR technology 
certified under the ONC Health IT Certification Program that meets the 
Base EHR definition at 45 CFR 170.102 and technology certified to the 
criteria necessary to be a meaningful EHR user under the Medicare 
Promoting Interoperability Program. The criteria necessary to be a 
meaningful EHR user include criteria that are necessary to report on 
applicable objectives and measures under the Medicare Promoting 
Interoperability Program.
    Several of the proposed changes in HTI-5 are described in further 
detail in associated proposals within this FY 2027 IPPS/LTCH PPS 
proposed rule. For more information, please see ``Proposed Updates to 
the Definition of Certified Electronic Health Record Technology in the 
Medicare Promoting Interoperability Program'' in section IX.F.2.b of 
this proposed rule and ``Proposal to Remove the Support Electronic 
Referral Loops by Sending Health Information and Support Electronic 
Referral Loops by Receiving and Reconciling Health Information 
Measures'' in section IX.F.4 of this proposed rule.
BILLING CODE 4120-01-P

[[Page 19619]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.181

BILLING CODE 4120-01-C
    Proposed changes in the HTI-5 proposed rule would affect 
certification criteria referenced in the definition of CEHRT in 42 CFR 
495.4 that applies to the Medicare Promoting Interoperability Program 
in several ways. First, several ONC proposals affect the ONC Health IT 
Certification Program certification criteria included within the Base 
EHR definition at 45 CFR 170.102, which is incorporated into the CEHRT 
definition at 42 CFR 495.4. Removal of these criteria from the ONC 
Health IT Certification Program and the Base EHR definition would 
therefore remove the requirement that an eligible hospital or CAH must 
use CEHRT that includes this functionality. ONC proposed to remove from 
the Base EHR definition the certification criteria at: 45 CFR 
170.315(a)(14)--``implantable device list'' (90 FR 60983), 45 CFR 
170.315(h)(1)--``transport methods and other protocols--direct 
project'' (90 FR 60998), and 45 CFR 170.315(h)(2)--``transport methods 
and other protocols--Direct Project, Edge Protocol, and XDR/XDM'' (90 
FR 60999). ONC also proposed to revise the following criteria 
referenced in the Base EHR definition: 45 CFR 170.315(a)(5)--``patient 
demographics and observations'' (90 FR 60981 through 60982) and 45 CFR 
170.315(b)(11)--``decision support interventions'' (90 FR 60986 through 
60987).
    ONC also proposed to remove four certification criteria specified 
in the text

[[Page 19620]]

of the CEHRT definition at 42 CFR 495.4. ONC proposed to remove: 45 CFR 
170.315(a)(12)--``family health history'', 45 CFR 170.315(e)(3)--
``patient health information capture'', 45 CFR 170.315(g)(1)--
``automated numerator recording'', and 45 CFR 170.315(g)(2)--
``automated measure calculation'' (90 FR 60982, 60991, 60994, and 
60995). We further discuss these criteria in section IX.F.2.b of this 
proposed rule.
    ONC also proposed to remove or revise other certification criteria 
that directly support certain Medicare Promoting Interoperability 
Program measures. For example, four certification criteria are 
identified as supporting the Provide Patients Electronic Access to 
Their Health Information measure: 45 CFR 170.315(e)(1), 45 CFR 
170.315(g)(7), 45 CFR 170.315(g)(9), and 45 CFR 170.315(g)(10). Of 
these four criteria, three are impacted by the HTI-5 proposals. ONC 
proposed to revise 45 CFR 170.315(e)(1) (90 FR 60990 through 60991), 
and to remove 45 CFR 170.315(g)(7) and 45 CFR 170.315(g)(9) (90 FR 
60998). If ONC finalizes these proposals, only the remaining criteria 
identified for the Provide Patients Electronic Access to Their Health 
Information measure (the revised 45 CFR 170.315(e)(1) and unaltered 45 
CFR 170.315(g)(10)) would be necessary for eligible hospitals and CAHs 
to report the measure. The same would be true for all other measures 
for which removal or revision of applicable certification criteria are 
finalized in HTI-5. Table IX.F.-07, in section IX.F.8 of this proposed 
rule, contains a complete list of the Medicare Promoting 
Interoperability Program objectives and measures and their relevant ONC 
Health IT certification criteria, including the impact to individual 
certification criteria if HTI-5 proposals are finalized.
    Regarding the Public Health Registry Reporting measure, ONC 
proposed to remove the only certification criterion (45 CFR 
170.315(f)(7)--``transmission to public health agencies--health care 
surveys'') (90 FR 60994) that supports the measure. If the removal of 
the criterion is finalized, there will be no specific certification 
criteria identified for this measure. An eligible hospital or CAH would 
be able to use any available data exchange standard specified in 45 CFR 
part 170 subpart B to meet the measure. For example, the transmission 
could be in the form of a Consolidated Clinical Document Architecture 
(C-CDA) per 45 CFR 170.205(a)(4), or Quality Reporting Document 
Architecture (QRDA) per 45 CFR 170.205(h)(2).
    Regarding the Electronic Case Reporting measure, ONC proposed to 
revise the criterion at 45 CFR 170.315(f)(5)--``transmission to public 
health agencies--electronic case reporting,'' (90 FR 60992 through 
60993) identified as supporting this measure. Regarding the 
Antimicrobial Use Surveillance and Antimicrobial Resistance 
Surveillance measures, ONC proposed to revise the criterion at 45 CFR 
170.315(f)(6)--``transmission to public health agencies--antimicrobial 
use and resistance reporting,'' (90 FR 60993) identified as supporting 
these measures. These proposals aim to update the certification 
criteria to focus on functional, rather than standards-based, 
requirements. While ONC's proposed updates, if finalized, would revise 
the requirements for health IT products certified to these criteria, 
eligible hospitals and CAHs would continue to need to use health IT 
certified to these criteria to report the Electronic Case Reporting, 
Antimicrobial Use Surveillance, and Antimicrobial Resistance 
Surveillance measures.
    We also note that ONC proposed removing certain certification 
criteria such as 45 CFR 170.315(g)(3)--``safety-enhanced design'' and 
45 CFR 170.315(g)(4)--``quality management system,'' (90 FR 60995 
through 60997) and a series of criteria related to privacy and security 
functionality in 45 CFR 170.315(d)(1)--(13) (90 FR 60989 through 
60990), which are included in the Health IT Module certification 
requirements at 45 CFR 170.550. These criteria represent capabilities 
found in certified health IT products used by eligible hospitals and 
CAHs. We note that the proposed removal of these criteria from the ONC 
Health IT Certification Program would not affect an eligible hospital's 
or CAH's obligations to ensure the privacy and security of patients' 
electronic health information under the Health Insurance Portability 
and Accountability Act of 1996 and other applicable laws.
    Please see Table IX.F.-07. for a complete listing of ONC Health IT 
certification criteria that support each Medicare Promoting 
Interoperability Program measure, and which criteria ONC has proposed 
to remove or revise. In most cases, certification criteria that support 
measure reporting would remain part of the ONC Health IT Certification 
Program. For additional information regarding proposals in the HTI-5 
proposed rule, please refer to the proposals at 90 FR 60970.
b. Proposed Updates to the Definition of Certified Electronic Health 
Record Technology in the Medicare Promoting Interoperability Program
    For CY 2019 and subsequent years, the definition of CEHRT for the 
Medicare Promoting Interoperability Program at 42 CFR 495.4 requires 
the use of EHR technology certified under the ONC Health IT 
Certification Program that meets the 2015 Edition Base EHR definition 
or subsequent Base EHR definition (as defined at 45 CFR 170.102) and 
has been certified to specified ONC health IT certification criteria, 
as adopted and updated in 45 CFR 170.315. In paragraph (2)(i), the 
definition further specifies that EHR technology must be certified to 
criteria for ``family health history'' (45 CFR 170.315(a)(12)) and 
``patient health information capture'' (45 CFR 170.315(e)(3)). In 
paragraph (2)(ii), the definition specifies that EHR technology must be 
certified to ONC health IT certification criteria that are necessary to 
be a meaningful EHR user. Paragraph (2)(ii)(A) includes the applicable 
measure calculation certification criteria at 45 CFR 170.315(g)(1) or 
(2) for all certification criteria that support an objective with a 
percentage-based measure.
    We are proposing to revise the definition of CEHRT at 42 CFR 495.4 
for the Medicare Promoting Interoperability Program so the definition 
would be consistent with certain proposed modifications to ONC health 
IT certification criteria in the HTI-5 proposed rule. Specifically, we 
are proposing to remove references to the following certification 
criteria effective January 1, 2027:
     ``family health history''--45 CFR 170.315(a)(12).
     ``patient health information capture''--45 CFR 
170.315(e)(3).
     ``automated numerator recording''--45 CFR 170.315(g)(1).
     ``automated measure calculation''--45 CFR 170.315(g)(2).
    If finalized as proposed, effective January 1, 2027, these criteria 
would no longer be included in the CEHRT definition. The proposed 
revised definition in 42 CFR 495.4 would be, in relevant part, as 
follows:
    ``Certified electronic health record technology (CEHRT) [. . .]
    (2) For 2019 and subsequent years, EHR technology (which could 
include multiple technologies) certified under the ONC Health IT 
Certification Program that meets the 2015 Edition Base EHR definition, 
or subsequent Base EHR definition (as defined at 45 CFR 170.102) and 
has been certified to the

[[Page 19621]]

ONC health IT certification criteria, as adopted and updated in 45 CFR 
170.315--
    (i) For 2019 through 2026, at 45 CFR 170.315(a)(12) (family health 
history) and 45 CFR 170.315(e)(3) (patient health information capture); 
and
    (ii) Necessary to be a Meaningful EHR User (as defined in this 
section), including the following:
    (A) For 2019 through 2026, the applicable measure calculation 
certification criterion at 45 CFR 170.315(g)(1) or (2) for all 
certification criteria that support a meaningful use objective with a 
percentage-based measure.
    (B) Clinical quality measure certification criteria that support 
the calculation and reporting of clinical quality measures at 45 CFR 
170.315(c)(2) and (c)(3)(i) and (ii) and can be electronically accepted 
by CMS.''
    We note that while our proposal is consistent with the approach in 
the HTI-5 proposed rule (90 FR 60970), we do not believe that ONC must 
finalize its proposed revisions for us to finalize the changes proposed 
in this section for our regulatory definition of CEHRT for the Medicare 
Promoting Interoperability Program.
    We believe that the longstanding presence of the criteria for 
``family health history'' at 45 CFR 170.315(a)(12) and ``patient health 
information capture'' at 45 CFR 170.315(e)(3) in the ONC Health IT 
Certification Program and their incorporation into Medicare Promoting 
Interoperability Program requirements means that the functionality 
reflected in these criteria is fully embedded in certified health IT 
and is widely available and used by eligible hospitals and CAHs. ONC 
anticipates that health IT developers will continue to retain these 
capabilities in their Health IT Modules despite the absence of 
certification criteria for these functionalities (90 FR 60991 and 90 FR 
60982). We note that these criteria are not identified as supporting 
any specific measures within the Medicare Promoting Interoperability 
Program.
    Similarly, for the certification criteria needed for measure 
calculation (``automated numerator recording'' and ``automated measure 
calculation'' certification criteria in 45 CFR 170.315(g)(1) and 45 CFR 
170.315(g)(2)), health IT developers seeking to support customers 
participating in the Medicare Promoting Interoperability Program will 
need to continue to support reporting of numerators and denominators 
for certain Medicare Promoting Interoperability Program measures, 
including the Electronic Prescribing measure and Providing Patients 
Access to Their Health Information measure. We believe removing the 
requirements for certification to 45 CFR 170.315(g)(1) and 45 CFR 
170.315(g)(2), by removing references to those criteria in the 
definition of CEHRT in 42 CFR 495.4, will reduce administrative burden 
for health IT developers associated with testing and certifying to this 
functionality without impacting reporting requirements for the Medicare 
Promoting Interoperability Program.
    In summary, we are proposing to revise the definition of CEHRT for 
the Medicare Promoting Interoperability Program at 42 CFR 495.4. 
Specifically, we are proposing to remove the certification criteria for 
``family health history'' (45 CFR 170.315(a)(12)), ``patient health 
information capture'' (45 CFR 170.315(e)(3)), ``automated numerator 
recording'' (45 CFR 170.315(g)(1)), and ``automated measure 
calculation'' (45 CFR 170.315(g)(2)) effective January 1, 2027 in 
alignment with the proposed timing to remove such criteria from the 
Code of Federal Regulations in the HTI-5 proposed rule.
    We invite public comment on these proposals.
3. Proposal To Remove ONC Direct Review and ONC-ACB Surveillance 
Attestations
a. Background
    In the Medicare Program, Merit-Based Incentive Payment System 
(MIPS) and Alternative Payment Model (APM) Incentive Under the 
Physician Fee Schedule, and Criteria for Physician-Focused Payment 
Models final rule with comment period, which appeared in the Federal 
Register on November 4, 2016 (hereafter the ``CY 2017 Quality Payment 
Program final rule'') (81 FR 77027), we adopted two attestations for 
the Medicare Promoting Interoperability Program (then called the 
Medicare EHR Incentive Program) related to supporting providers with 
the performance of CEHRT. The two attestations, which are now found at 
42 CFR 495.40(b)(2)(i)(I)(1) and (2), are:
     ONC Direct Review attestation: Eligible hospitals and CAHs 
must affirm cooperation with ONC Direct Review of their CEHRT by: (1) 
acknowledging the requirement to cooperate in good faith with ONC 
direct review of their health information technology certified under 
the ONC Health IT Certification Program if a request to assist in ONC 
direct review is received; and (2) if requested, cooperate in good 
faith with ONC direct review of their health information technology 
certified under the ONC Health IT Certification Program.\422\
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    \422\ 42 CFR 495.40(b)(2)(i)(I)(1).
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     ONC-Authorized Certification Body (ONC-ACB) Surveillance 
attestation: Eligible hospitals and CAHs may also attest that they 
engaged in supporting providers with the performance of CEHRT 
activities by attesting that they: (1) acknowledge the option to 
cooperate in good faith with ONC-ACB surveillance of their health 
information technology certified under the ONC Health IT Certification 
Program if a request to assist in ONC-ACB surveillance is received; and 
(2) if requested, cooperated in good faith with ONC-ACB surveillance of 
their health information technology certified under the ONC Health IT 
Certification Program.\423\
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    \423\ 42 CFR 495.40(b)(2)(i)(I)(2).
---------------------------------------------------------------------------

    The ONC Direct Review attestation is currently a required element 
of the Medicare Promoting Interoperability Program; submitting a 
``Yes'' response, or claiming an applicable exclusion are the only 
means to fulfill the requirements of the attestation. The submission of 
a ``No'' response results in the eligible hospital or CAH failing to 
meet the attestation. Thus, the eligible hospital or CAH would 
consequently fail to meet minimum program requirements and not be 
considered a meaningful EHR user for the EHR reporting period, 
subjecting it to a downward payment adjustment. The ONC-ACB 
Surveillance attestation is optional: a ``Yes'' response on the 
attestation, a ``No'' response on the attestation, or non-response are 
all acceptable answers with respect to whether an eligible hospital or 
CAH is considered a meaningful EHR user for the EHR reporting period. 
Both attestations are reported through a manual attestation (``Yes'' or 
``No'') process via the CMS Hospital Quality Reporting (HQR) system.
b. Proposal To Remove the ONC Direct Review and ONC-ACB Surveillance 
Attestations Beginning With the EHR Reporting Period in CY 2026
    We are proposing to remove the required ONC Direct Review 
attestation and the optional ONC-ACB Surveillance attestation from the 
Medicare Promoting Interoperability Program beginning with the EHR 
reporting period in CY 2026 and make conforming changes at 42 CFR 
495.40(b)(2)(i)(I). These changes would be effective with the data 
submission period beginning January 1, 2027, because neither 
attestation requires any specific action to occur within the EHR 
reporting period. We believe this proposal advances our focus on high-
value, outcome-oriented measures.

[[Page 19622]]

While we continue to support ONC direct review and ONC-ACB 
surveillance, we also recognize the need to reduce administrative 
burdens in our measure and attestation set when feasible.
    We continue to recognize the importance of ONC direct review and 
ONC-ACB surveillance activities and believe these mechanisms are 
important for mitigating issues with health IT products that may pose 
serious risks to public health or safety and continue to cooperate with 
ONC in supporting the ONC Health IT Certification Program. As stated in 
the CY 2017 Quality Payment Program final rule (81 FR 77020), efforts 
to strengthen surveillance and direct review of certified health IT are 
critical to the success of HHS programs and initiatives that require 
the use of certified health IT to improve health care quality and the 
efficient delivery of care. We do not anticipate that the commitment 
from ONC and the ONC-ACBs toward such goals will change.
    When we initially finalized these attestations in November 2016 in 
the CY 2017 Quality Payment Program final rule, we believed that the 
attestations would complement and strengthen recent updates to ONC's 
ability to perform surveillance and direct review activities. 
Specifically in October 2015, ONC finalized the 2015 Edition Health 
Information Technology (Health IT) Certification Criteria, 2015 Edition 
Base Electronic Health Record (EHR) Definition, and ONC Health IT 
Certification Program Modifications final rule, which added 
requirements that ONC-ACBs conduct more frequent and more rigorous 
surveillance of certified technology and capabilities ``in the field'' 
(80 FR 62707). Additionally in October 2016, ONC published the ONC 
Health IT Certification Program: Enhanced Oversight and Accountability 
final rule, which established regulatory processes to facilitate ONC's 
direct review and evaluation of the performance of certified health IT 
in certain circumstances (81 FR 72406). In the CY 2017 Quality Payment 
Program final rule, we determined that surveillance and direct review 
activities provided greater assurance to health care providers that 
their certified EHR technology would perform in a manner that meets 
their expectations, but that this surveillance and direct review would 
not be effective unless health care providers cooperated with these 
activities, including by granting access to and assisting ONC-ACBs and 
ONC to observe the performance of production systems (81 FR 77020).
    While these activities remain important, we no longer believe that 
the requirement for eligible hospitals and CAHs to attest ``yes'' to 
the ONC Direct Review attestation is necessary to demonstrate the 
meaningful use of CEHRT. Since 2016, the ONC direct review process has 
become known to eligible hospitals and CAHs, and the value of 
participation has become evident without dependence on an annual 
attestation. Likewise, we believe ONC-ACB Surveillance attestation, 
which is optional for attestation, is no longer necessary to collect 
because eligible hospitals and CAHs have been made aware of their 
ability to participate in OCB-ACB surveillance if asked. We believe 
that the burden of the attestations, even the minimal burden of the 
voluntary ONC-ACB Surveillance attestation, now outweighs their value. 
This proposal aligns with our goals of reducing administrative burden 
while simultaneously focusing on high-value, outcome-oriented measures. 
Specifically, removal of these attestations from the Medicare Promoting 
Interoperability Program represents an opportunity to reduce the number 
of discrete manual steps and reporting fields required for successful 
program participation without diminishing the integrity or central 
goals of the program. Although we are proposing to remove the 
attestations, we strongly encourage eligible hospitals or CAHs to 
continue participating in these oversight processes when assistance is 
requested by ONC or an ONC-ACB.
    We are proposing the removal of the ONC Direct Review and ONC-ACB 
Surveillance attestations beginning with the EHR reporting period in CY 
2026 to reduce burden as quickly as feasible. Since eligible hospitals 
and CAHs would not be reporting on these attestations until the 
submission period that opens January 1, 2027, we have determined that 
it would be feasible for both hospitals and CMS to implement this 
change. Therefore, if this proposal is finalized, eligible hospitals 
and CAHs would not have to report on these attestations by the March 1, 
2027, submission deadline and there would be no effect on their FY 2028 
payment determination or FY 2026 cost reimbursement, respectively.
    We invite public comment on this proposal.
4. Proposal To Remove the Support Electronic Referral Loops by Sending 
Health Information and Support Electronic Referral Loops by Receiving 
and Reconciling Health Information Measures
a. Background on the Health Information Exchange Objective
    The Health Information Exchange objective and its associated 
measures encourage and leverage the interoperability of electronic 
health information on a broader scale and promote health IT-based care 
coordination. The Health Information Exchange objective currently 
includes five measures: Support Electronic Referral Loops by Sending 
Health Information, Support Electronic Referral Loops by Receiving and 
Reconciling Health Information, HIE Bi-Directional Exchange, Enabling 
Exchange Under the Trusted Exchange Framework and Common Agreement 
(TEFCA), and Electronic Prior Authorization. For background on this 
objective and its associated measures, we refer readers to the FY 2019 
IPPS/LTCH PPS final rule (83 FR 41656 through 41661), the FY 2020 IPPS/
LTCH PPS final rule (84 FR 42596 through 42597), the FY 2021 IPPS/LTCH 
PPS final rule (85 FR 58969), the FY 2022 IPPS/LTCH PPS final rule (86 
FR 45465 through 45470), the FY 2023 IPPS/LTCH PPS final rule (87 FR 
49327 through 49334), and the 2024 Interoperability and Prior 
Authorization final rule (89 FR 8926).
    The Support Electronic Referral Loops by Sending Health Information 
measure requires, for at least one transition of care or referral, the 
eligible hospital or CAH that transitions or refers its patient to 
another setting of care or provider of care: (1) creates a summary of 
care record using CEHRT; and (2) electronically exchanges the summary 
of care record.
     Numerator: Number of transitions of care and referrals in 
the denominator where a summary of care record was created using CEHRT 
and exchanged electronically.
     Denominator: Number of transitions of care and referrals 
during the EHR reporting period for which the eligible hospital or CAH 
inpatient or emergency department (Place of Service [POS] 21 or 23) was 
the transitioning or referring provider.
    The Support Electronic Referral Loops by Receiving and Reconciling 
Health Information measure requires, for at least one electronic 
summary of care record received using CEHRT for patient encounters 
during the EHR reporting period for which an eligible hospital or CAH 
was the receiving party of a

[[Page 19623]]

transition of care or referral, or for patient encounters during the 
EHR reporting period in which the eligible hospital or CAH has never 
before encountered the patient, the eligible hospital or CAH conducts 
clinical information reconciliation for medication, medication allergy, 
and current problem list using CEHRT.
     Numerator: The number of electronic summary of care 
records in the denominator for which clinical information 
reconciliation is completed using CEHRT for the following three 
clinical information sets: (1) Medication--Review of the patient's 
medication, including the name, dosage, frequency, and route of each 
medication; (2) Medication allergy--Review of the patient's known 
medication allergies; and (3) Current Problem List--Review of the 
patient's current and active diagnoses.
     Denominator: Number of electronic summary of care records 
received using CEHRT for patient encounters during the EHR reporting 
period for which an eligible hospital or CAH was the reconciling party 
of a transition of care or referral, and for patient encounters during 
the EHR reporting period in which the eligible hospital or CAH has not 
previously encountered the patient.
    Under current policy (87 FR 49334), an eligible hospital or CAH 
must satisfy the Health Information Exchange objective by using one of 
three reporting options: Option 1 (report on the Support Electronic 
Referral Loops by Sending Health Information measure AND the Support 
Electronic Referral Loops by Receiving and Reconciling Health 
Information measure), Option 2 (report on the HIE Bi-Directional 
Exchange measure), or Option 3 (report on the Enabling Exchange Under 
TEFCA measure). The Support Electronic Referral Loops by Sending Health 
Information measure and the Support Electronic Referral Loops by 
Receiving and Reconciling Health Information measure are each worth 15 
points within the Health Information Exchange objective, and an 
eligible hospital or CAH may receive up to a maximum of 30 points by 
reporting on both measures. Eligible hospitals and CAHs must also 
attest ``Yes'' on the Electronic Prior Authorization measure beginning 
with the EHR reporting period in CY 2027 to meet all requirements for 
the Health Information Exchange objective (89 FR 8926 through 
8927).\424\
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    \424\ In section IX.F.5 of this proposed rule, we are proposing 
several updates to the Electronic Prior Authorization measure.
---------------------------------------------------------------------------

    We have identified two ONC health IT certification criteria in 45 
CFR 170.315 as supporting Support Electronic Referral Loops by Sending 
Health Information measure and the Support Electronic Referral Loops by 
Receiving and Reconciling Health Information measure. In the ``Medicare 
and Medicaid Programs; Electronic Health Record Incentive Program-Stage 
3 and Modifications to Meaningful Use in 2015 Through 2017'' final 
rule, we finalized that eligible hospitals and CAHs must use the 
``transitions of care'' certification criterion at 45 CFR 170.315(b)(1) 
for the measure (80 FR 62882) that we subsequently renamed as the 
Support Electronic Referral Loops by Sending Health Information measure 
(83 FR 41658). In the FY 2019 IPPS/LTCH PPS final rule, for the Support 
Electronic Referral Loops by Receiving and Reconciling Health 
Information measure, we finalized that eligible hospitals and CAHs must 
utilize both the ``transitions of care'' certification criterion at 45 
CFR 170.315(b)(1) and the ``clinical information reconciliation and 
incorporation'' certification criterion at 45 CFR 170.315(b)(2) (83 FR 
41661). These certification criteria, based upon the C-CDA standard, 
enable eligible hospitals and CAHs to complete the actions described in 
the measures around sending, receiving, and reconciling summary of care 
records.
    In the HTI-5 proposed rule (90 FR 60984 through 60985), ONC 
proposed multiple updates to the ONC Health IT Certification criteria 
that facilitate reporting the Support Electronic Referral Loops by 
Sending Health Information and Support Electronic Referral Loops by 
Receiving and Reconciling Health Information measures. Notably, ONC 
proposed to reduce the scope of the ``transitions of care'' 
certification criterion at 45 CFR 170.315(b)(1) to focus its 
requirements on enabling the receipt of a C-CDA document to position 
the criterion for a future evolution to receipt of Fast Healthcare 
Interoperability Resources[supreg] (FHIR[supreg])-formatted data. ONC 
also proposed to remove the ``clinical information reconciliation and 
incorporation'' certification criterion at 45 CFR 170.315(b)(2) based 
on its review of industry adoption of the criterion. ONC's review found 
that the capabilities of the criterion are widely implemented and used 
in health IT and thus are not likely to go away as a supported 
capability by developers of certified health IT based solely on removal 
of the criterion from the ONC Health IT Certification Program. For more 
details regarding these ONC proposals in the HTI-5 proposed rule, 
please see the HTI-5 proposed rule at 90 FR 60984.
b. Proposal To Remove the Support Electronic Referral Loops by Sending 
Health Information and Support Electronic Referral Loops by Receiving 
and Reconciling Health Information Measures Beginning With the EHR 
Reporting Period in CY 2028
    We propose to remove the Support Electronic Referral Loops by 
Sending Health Information and Support Electronic Referral Loops by 
Receiving and Reconciling Health Information measures beginning with 
the EHR reporting period in CY 2028. This proposal would streamline 
reporting and reduce the complexity of multiple measure reporting 
options for the Health Information Exchange objective, while focusing 
program performance on measures that assess the adoption of newer 
health information technologies and more comprehensive methods of 
information-sharing. If our proposal to remove these measures is 
finalized, beginning with the EHR reporting period in CY 2028, eligible 
hospitals and CAHs would fulfill requirements in the Health Information 
Exchange objective by attesting ``Yes'' to either the HIE Bi-
Directional Exchange measure or the Enabling Exchange Under TEFCA 
measure, as well as attesting ``Yes'' or claiming an Exclusion on the 
Electronic Prior Authorization measure.\425\
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    \425\ We have proposed modifications to the Electronic Prior 
Authorization measure in this proposed rule. For more information, 
please see section IX.F.5 of this proposed rule.
---------------------------------------------------------------------------

    The Support Electronic Referral Loops by Sending Health Information 
and Support Electronic Referral Loops by Receiving and Reconciling 
Health Information measures have been present as measures of meaningful 
use since Stage 2 of the EHR Incentive Program, the precursor to the 
Medicare Promoting Interoperability Program (77 FR 54044). Since their 
initial adoption, these measures have supported widespread adoption of 
functionality in EHRs for supporting the exchange of summary care 
records using the C-CDA standard. Use of this functionality as advanced 
by the current measures and their predecessors has served as a key 
driver for the adoption and use of exchange capabilities across the 
health care landscape for over a decade.
    With this baseline of functionality broadly available to eligible 
hospitals and CAHs, we began to explore additional measures that foster 
the availability of longitudinal care records for patients and 
facilitate enhanced care coordination across settings by adding

[[Page 19624]]

the Health Information Exchange (HIE) Bi-Directional Exchange measure 
and, later, the Enabling Exchange Under TEFCA measure (86 FR 45470 and 
87 FR 49334, respectively). We are now seeking to further advance this 
work by removing the prior measures and transitioning eligible 
hospitals and CAHs to focus on broader-scale interoperability 
approaches by prioritizing pathways that leverage Health Information 
Exchanges and Qualified Health Information Networks (QHINs) under 
TEFCA.
    This transition is consistent with trends already underway in the 
program. Since the HIE Bi-Directional Exchange and Enabling Exchange 
Under TEFCA measures were adopted in the program, we have seen 
increased reporting of these measures to meet the Health Information 
Exchange objective. For the EHR reporting period in CY 2024, which is 
the most recent program data available, 68.8 percent of reporting 
eligible hospitals and CAHs reported on the HIE Bi-Directional Exchange 
measure and 4.6 percent of reporting facilities reported on the 
Enabling Exchange Under TEFCA measure, while only 26.6 percent of 
reporting eligible hospitals and CAHs reported on the Support 
Electronic Referral Loops by Sending Health Information and Support 
Electronic Referral Loops by Receiving and Reconciling Health 
Information measures. CAHs are disproportionately represented among the 
facilities that report the Support Electronic Referral Loops by Sending 
Health Information and Support Electronic Referral Loops by Receiving 
and Reconciling Health Information measures, with 33.1% of CAHs 
compared to 23.9% of eligible hospitals reporting the measures. 
However, this statistic also shows that a majority of both eligible 
hospitals and CAHs have been able to successfully report either the HIE 
Bi-Directional Exchange measure or the Enabling Exchange Under TEFCA 
measure. We believe that these measures of participation in network-
based exchange are more comprehensive indicators of meaningful health 
information exchange than the Support Electronic Referral Loops by 
Sending Health Information and Support Electronic Referral Loops by 
Receiving and Reconciling Health Information measures. For example, 
exchanging information through an HIE or entity participating in TEFCA 
supports on-demand patient health information exchange to any location 
in an entire network of participants rather than the submission of a 
summary of care document to a single specified recipient. We therefore 
believe that removing the Support Electronic Referral Loops by Sending 
Health Information and Support Electronic Referral Loops by Receiving 
and Reconciling Health Information measures, although impacting the 
eligible hospitals and CAHs that report on those measures, benefits 
patients by assessing regional and national network-based longitudinal 
health information exchange among these eligible hospitals and CAHs 
rather than assessing the transmission of patient information to a 
single location at a single point in time. We also believe that all 
eligible hospitals, including small, rural hospitals, and CAHs benefit 
from increased access to patient health information for the patients 
they treat through increased participation in health information 
exchanges or TEFCA. Removal of these measures would also streamline 
reporting and reduce program complexity by decreasing the overall 
number of measures in the program. We welcome comments with respect to 
whether there are additional barriers beyond what we have mentioned 
that small hospitals, rural hospitals, or CAHs may encounter to 
successfully report either the HIE Bi-Directional Exchange measure or 
Enabling Exchange Under TEFCA measure.
    Finally, we also believe that removing the Support Electronic 
Referral Loops by Sending Health Information and Support Electronic 
Referral Loops by Receiving and Reconciling Health Information 
measures, which are C-CDA-based measures, will encourage eligible 
hospitals and CAHs to further explore new exchange modalities that move 
away from document-centric standards and point-to-point exchange. The 
current Support Electronic Referral Loops by Sending Health Information 
and Support Electronic Referral Loops by Receiving and Reconciling 
Health Information measures focus on the exchange of summary of care 
records using the C-CDA standard, but industry trends toward increased 
FHIR adoption have enabled easier scalability to support real-time data 
exchange and access to more discrete data elements when compared to the 
document-centric CDA standard.\426\ We seek to improve the use of 
electronic health records over time, and one such aspect of doing so is 
fostering eligible hospitals' and CAHs' use of emerging data exchange 
standards that may improve upon those that were adopted in prior years.
---------------------------------------------------------------------------

    \426\ https://healthit.gov/data/data-briefs/hospital-use-of-apis-to-enable-data-sharing-between-ehrs-and-third-party-technology/
.
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    We note that our proposal to remove these measures does not imply 
that the underlying exchange activities targeted by the Health 
Information Exchange objective are fully and effectively implemented at 
this time, including among eligible hospitals and CAHs. We are 
considering evaluating performance-based measures under the Health 
Information Exchange objective for future rulemaking. Specifically, we 
plan to continue to evaluate future potential changes to the current 
HIE Bi-Directional Exchange and Enabling Exchange Under TEFCA measures 
to transition from attestation-based to performance-based measures to 
drive further improvement around ongoing gaps in health information 
exchange among eligible hospitals and CAHs. We also note that we expect 
the use of C-CDA based exchange to continue to serve as an ongoing 
capability for health information exchange even though we have 
determined that the Medicare Promoting Interoperability Program no 
longer needs a measure of its adoption and use. While our proposal to 
remove these measures from the Medicare Promoting Interoperability 
Program seeks to encourage the use of new technology approaches that 
improve the function of electronic health records over time, we 
acknowledge the impact and value of these exchange methods.
    We propose removing the Support Electronic Referral Loops by 
Sending Health Information and Support Electronic Referral Loops by 
Receiving and Reconciling Health Information measures beginning with 
the EHR reporting period in CY 2028, rather than in an earlier 
reporting period, to provide the 26.6 percent of eligible hospitals and 
CAHs currently reporting on these measures sufficient time to prepare 
for reporting on the HIE Bi-Directional Exchange measure or the 
Enabling Exchange Under TEFCA measure. Making these proposals effective 
in the EHR reporting period in CY 2028 would allow those eligible 
hospitals and CAHs time to plan, procure, configure, and validate new 
workflows for participation with an entity facilitating health 
information exchange, whether through the HIE Bi-Directional Exchange 
or the Enabling Exchange Under TEFCA measures. This additional lead 
time would support a safe and reliable transition, while eligible 
hospitals and CAHs that wish to transition earlier and report on HIE 
Bi-Directional Exchange or Enabling Exchange Under TEFCA, if they are 
not already doing so, will be able to do so for the EHR reporting 
period in CY 2026

[[Page 19625]]

or CY 2027 if they so choose. Although eligible hospitals and CAHs may 
incur additional costs as a result of joining a Health Information 
Exchange or a QHIN under TEFCA to report either of the measures 
respectively, we believe that these benefits outweigh the costs 
considering the value of broad health information exchange networks to 
patient care \427\ and the fact that such networks are more valuable to 
each participant as more and more participants are present in the 
network.\428\
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    \427\ Menachemi N, Rahurkar S, Harle CA, Vest JR. The benefits 
of health information exchange: an updated systematic review. 
Journal of the American Medical Informatics Association. 2018 
Sep;25(9):1259-65.
    \428\ Yaraghi N, Du AY, Sharman R, Gopal RD, Ramesh R. Network 
effects in health information exchange growth. ACM Transactions on 
Management Information Systems (TMIS). 2013 Apr 1;4(1):1-26.
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    Following the removal of these measures, we propose that eligible 
hospitals and CAHs would be required to satisfy the Health Information 
Exchange objective by reporting the HIE Bi-Directional Exchange measure 
or reporting the Enabling Exchange Under TEFCA measure. We propose to 
maintain the same scoring policy for these two measure options; 
attesting ``Yes'' to either the HIE Bi-Directional Exchange or Enabling 
Exchange Under TEFCA measure would result in a maximum score of 30 
points. Additionally, eligible hospitals would be required to meet the 
Electronic Prior Authorization measure requirement in the Health 
Information Exchange objective, which we discuss in section IX.F.5 of 
this rule.
    We invite public comment on these proposals.
5. Proposed Updates to the Electronic Prior Authorization Measure
a. Background
    In the 2024 CMS Interoperability and Prior Authorization final rule 
(89 FR 8909 through 8927), we adopted the Electronic Prior 
Authorization measure under the Health Information Exchange objective 
in the Medicare Promoting Interoperability Program. We finalized that 
eligible hospitals and CAHs would be required to attest to the 
Electronic Prior Authorization measure beginning with the EHR reporting 
period in CY 2027 (89 FR 8910). For purposes of the Electronic Prior 
Authorization measure, a prior authorization request must be made using 
a Prior Authorization Application Programming Interface (API) using 
data from CEHRT to attest ``Yes'' to the measure, unless the eligible 
hospital or CAH claims an applicable exclusion. We finalized the 
following text for the measure description (89 FR 8916):
    For at least one hospital discharge and medical item or service 
(excluding drugs) ordered during the EHR reporting period, the prior 
authorization is requested electronically via a Prior Authorization API 
using data from CEHRT.
     Exclusions: Any eligible hospital or CAH that--
    ++ Does not order any medical items or services (excluding drugs) 
requiring prior authorization during the EHR reporting period.
    ++ Only orders medical items or services (excluding drugs) 
requiring prior authorization from a payer that does not offer an API 
that meets CMS's specified Prior Authorization API requirements during 
the applicable EHR reporting period.
    Only a ``Yes'' attestation, or claiming an applicable exclusion, 
fulfills the requirements of the measure. Additionally, we finalized 
that the measure will not be scored (that is, not assigned points for a 
``Yes'' attestation) for the EHR reporting period in CY 2027. A ``No'' 
attestation will result in the eligible hospital or CAH not meeting the 
measure. The eligible hospital or CAH would therefore not meet minimum 
program requirements and not be considered a meaningful EHR user for 
the relevant EHR reporting period and be subject to a downward payment 
adjustment (89 FR 8911).
    The 2024 CMS Interoperability and Prior Authorization final rule 
also finalized that Medicare Advantage plans, state Medicaid Fee-for-
service (FFS) programs, state Children's Health Insurance Program 
(CHIP) FFS programs, Medicaid managed care plans, CHIP managed care 
entities, and Qualified Health Plans (QHP) issuers on the federally 
facilitated exchanges (collectively referred to as ``impacted payers'') 
must implement and maintain a Prior Authorization API beginning in CY 
2027 (by January 1, 2027 for MA organizations and state Medicaid and 
CHIP FFS programs; by the first rating period beginning on or after 
January 1, 2027 for Medicaid managed care plans and CHIP managed care 
entities; and for plan years beginning on or after January 1, 2027 for 
individual market QHP issuers on the FFEs) (89 FR 8759 through 8760). 
In that rule we also recommended, rather than required, specific FHIR 
Implementation Guides (IGs) to support the APIs (89 FR 8937).
    In the Health Data, Technology, and Interoperability: Electronic 
Prescribing, Real-Time Prescription Benefit and Electronic Prior 
Authorization final rule (HTI-4 final rule), which was published as 
part of the FY 2026 IPPS/LTCH PPS final rule (90 FR 37164 through 
37182), ONC finalized three ONC health IT certification criteria for 
electronic prior authorization, based on the following FHIR IGs:
     ``Provider prior authorization API--coverage requirements 
discovery'' in 45 CFR 170.315(g)(31);
     ``Provider prior authorization API--documentation 
templates and rules'' in 45 CFR 170.315(g)(32); and
     ``Provider prior authorization API--prior authorization 
support'' in 45 CFR 170.315(g)(33).
    These certification criteria are based on three IGs developed by 
the HL7 Da Vinci project, which ONC adopted in the HTI-4 final rule 
\429\ at 45 CFR 170.215(j)(1), (2), and (3):
---------------------------------------------------------------------------

    \429\ In the 2026 CMS Interoperability Standards and Prior 
Authorization for Drugs proposed rule, ONC has proposed updated 
versions of these implementation guides.
---------------------------------------------------------------------------

     HL7[supreg] FHIR[supreg] Da Vinci--Coverage Requirements 
Discovery (CRD) IG;
     HL7 FHIR Da Vinci--Documentation Templates and Rules (DTR) 
IG; and
     HL7 FHIR Da Vinci--Prior Authorization Support (PAS) IG.
    Together, these certification criteria can enable multiple prior 
authorization workflows for healthcare providers. We refer readers to 
the HTI-4 final rule (90 FR 37162 through 37175) for a more detailed 
discussion of ONC's finalized certification criteria at 45 CFR 
170.315(g)(31) through (33) and section XI.B.4.b (90 FR 36541 through 
36542) of the same rule for a summary of all the finalized ONC 
policies.
    We also recently released the ``Medicare and Medicaid Programs; 
Patient Protection and Affordable Care Act; Interoperability Standards 
and Prior Authorization for Drugs for Medicare Advantage Organizations, 
Medicaid Managed Care Plans, State Medicaid Agencies, Children's Health 
Insurance Program (CHIP) Agencies and CHIP Managed Care Entities, and 
Issuers of Qualified Health Plans on the Federally-Facilitated 
Exchanges'' proposed rule (2026 CMS Interoperability Standards and 
Prior Authorization for Drugs proposed rule). Among other policies, in 
the 2026 CMS Interoperability and Prior Authorization for Drugs 
proposed rule, we proposed to require impacted payers to implement and 
maintain Prior Authorization APIs that conform to the CRD, DTR, and PAS 
IGs adopted by ONC on behalf of the Secretary at 45 CFR 170.215(j)(1), 
(2), and (3). We proposed that compliance dates for impacted payers to 
conform to

[[Page 19626]]

the proposed standards and IGs would begin October 1, 2027 (however, 
impacted payers must still implement Prior Authorization APIs beginning 
in CY 2027). Finally, in the 2026 CMS Interoperability Standards and 
Prior Authorization for Drugs proposed rule, ONC proposed to adopt 
updated versions of the CRD, DTR, and PAS IGs. If finalized, these 
proposed updated versions would enable payers to implement Prior 
Authorization APIs and health IT developers implementing the finalized 
health IT certification criteria at 45 CFR 170.315(g)(31), (32), and 
(33) to utilize the latest versions of these specifications.
    The proposals in the 2026 CMS Interoperability Standards and Prior 
Authorization for Drugs proposed rule for impacted payers to implement 
and maintain the Prior Authorization APIs using the CRD, DTR, and PAS 
IGs, along with the provisions ONC finalized in the HTI-4 final rule to 
adopt the CRD, DTR, and PAS IGs and establish electronic prior 
authorization certification criteria for health IT developers, 
collectively support the Electronic Prior Authorization measure for 
eligible hospitals and CAHs and advance interoperability applying 
consistent standards across HHS programs. For more information, please 
see the 2026 CMS Interoperability Standards and Prior Authorization for 
Drugs proposed rule and the HTI-4 final rule for the three health IT 
certification criteria to support electronic prior authorization at 45 
CFR 170.315(g)(31), (32), and (33) finalized by ONC in the HTI-4 final 
rule (90 FR 37169).
b. Proposal To Modify the Electronic Prior Authorization Measure 
Beginning With the EHR Reporting Period in CY 2027
    We propose making several changes to the Electronic Prior 
Authorization Measure, reflected in the following modified text for the 
measure description:
    For at least one medical item or service (excluding drugs) ordered 
during a hospital encounter that occurs within the EHR reporting 
period, the prior authorization is requested electronically through a 
Prior Authorization API using CEHRT.
    In this proposed measure update, we have revised the phrase ``using 
data from CEHRT'' to read ``using CEHRT'' because in section IX.F.5.c 
of this proposed rule we clarify the requirement to use health IT 
certified to specific certification criteria included in the definition 
of CEHRT for this measure. When we adopted the Electronic Prior 
Authorization measure, we did not identify specific ONC health IT 
certification criteria required to complete the actions specified in 
the measure (89 FR 8910 through 8915). We stated that gathering 
structured data from CEHRT would be achievable without additional 
certification criteria specific to the measure (89 FR 8925), which had 
not been proposed or finalized at the time of the 2024 CMS 
Interoperability and Prior Authorization final rule. The proposed 
update to the measure language to state that a prior authorization must 
be requested electronically ``using CEHRT'' is consistent with the 
availability of certified Health IT Modules that must be used to 
complete the action specified in the Electronic Prior Authorization 
measure.
    We also propose to change the word ``discharge'' to ``encounter'' 
to more clearly delineate that a prior authorization request may occur 
at any time during the hospital encounter, rather than be associated 
temporally with the discharge, about which some stakeholders had 
expressed confusion regarding the measure. At this time, we are not 
proposing to modify the exclusion criteria finalized when we adopted 
the Electronic Prior Authorization measure (89 FR 8916).
    We invite public comment on this proposal.
    We also considered proposing to revise the measure to include a 
broader set of actions associated with the prior authorization process. 
Specifically, we considered whether to propose to revise the measure 
language so that an eligible hospital or CAH would be able to attest to 
the measure by using CEHRT to conduct a check for whether an item or 
service requires prior authorization, regardless of whether the query 
results in a request and approval of the prior authorization. We 
request comment on whether the added flexibility associated with such 
an alternative approach would make a meaningful difference for eligible 
hospitals and CAHs, especially those seeking to initially focus on 
adoption of the functionality in the ``provider prior authorization 
API--coverage requirements discovery'' criterion.
    We also considered whether to include prior authorization for drugs 
administered during the hospitalization in the measure at this time. 
These actions could be supported by technology certified to the 
certification criteria in 45 CFR 170.315(g)(31), (32), and (33). We 
request comment on whether adding drugs to the measure would be of 
benefit.
c. Health IT Certification Criteria To Support the Electronic Prior 
Authorization Measure
    In light of our proposal that an electronic prior authorization 
must be requested using CEHRT to satisfy the Electronic Prior 
Authorization measure, and the finalization of health IT certification 
criteria in 45 CFR 170.315(g)(31), (32), and (33) in the HTI-4 final 
rule, we are specifying the use of health IT certified to these 
certification criteria as required for the Electronic Prior 
Authorization measure. Use of certified health IT to support electronic 
prior authorization transactions included in the measure would ensure 
that eligible hospitals and CAHs have standards-based capabilities 
within their health IT systems to interact with Prior Authorization 
APIs established by impacted payers and successfully complete the 
measure.
    As discussed above, the three certification criteria are based on 
the HL7 Da Vinci CRD, DTR, and PAS IGs, and address different parts of 
the electronic prior authorization workflow. The ``provider prior 
authorization API--coverage requirements discovery'' in 45 CFR 
170.315(g)(31) enables a health care provider to request information 
from payers about coverage requirements. Where further information is 
needed to support a prior authorization request, the ``provider prior 
authorization API--documentation templates and rules'' criterion in 45 
CFR 170.315(g)(32) provides a mechanism for clinicians and other EHR 
users to navigate and quickly assemble the information needed to 
support a prior authorization request according to a payer's 
requirements. Finally, the ``provider prior authorization API--prior 
authorization support'' in 45 CFR 170.315(g)(33) enables submission of 
prior authorization requests from health IT systems as well as checking 
the status of a previously submitted request. By finalizing each 
component of the workflow as a separate certification criterion, ONC 
sought to support a more dynamic health IT marketplace in which a 
health IT developer could develop Health IT Modules demonstrating 
conformance to all three IGs or focus on a specific element or elements 
(90 FR 37169).
    Different prior authorization scenarios that allow an eligible 
hospital or CAH to successfully attest to the Electronic Prior 
Authorization measure may require the functionality of one, or more 
than one, Health IT Modules certified to the criteria in 45 CFR 
170.315(g)(31), (32), and (33). For instance, an eligible hospital or 
CAH could successfully

[[Page 19627]]

report on the measure using CEHRT that only includes a Health IT Module 
certified to the ``provider prior authorization API--coverage 
requirements discovery'' criterion in 45 CFR 170.315(g)(31). Consider a 
hypothetical scenario in which a Medicare Advantage (MA) enrollee has 
stable coronary artery disease and new exertional dyspnea (feeling 
shortness of breath during physical exertion). The beneficiary's 
cardiologist, working in an eligible hospital or CAH, wants to order an 
outpatient transthoracic echocardiogram (TTE) to assess left 
ventricular function and valvular disease. When the cardiologist places 
an order for a TTE in the EHR, a Health IT Module certified to the 
``provider prior authorization API--coverage requirements discovery'' 
criterion (45 CFR 170.315(g)(31)) automatically sends a real-time query 
to the beneficiary's MA plan endpoint to determine whether prior 
authorization is required for the requested service (the TTE) and, if 
so, what documentation is needed. The MA plan returns a CRD response 
(via CDS Hooks ``card'' \430\) indicating that prior authorization is 
necessary and has been approved under the beneficiary's plan benefits 
and network status, including information such as the prior 
authorization number and assumed billing codes.
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    \430\ A CDS Hooks card is a user-facing, real-time alert or 
suggestion returned by a Clinical Decision Support (CDS) service to 
an EHR in response to a specific clinical event. See https://cds-hooks.org/ for additional information.
---------------------------------------------------------------------------

    In this hypothetical scenario, the prior authorization request is 
satisfied using only the capabilities represented with the ``provider 
prior authorization API--coverage requirements discovery'' 
certification criterion (45 CFR 170.315(g)(31)). The health care 
provider submitted a query for prior authorization, the payer responded 
that prior authorization was required, the prior authorization was 
approved, and the health care provider received a response indicating 
this approval from the payer using the payer's API. In this case, the 
receipt of an approval indicates that the health care provider 
effectively submitted a request for prior authorization, consistent 
with the requirements of the Electronic Prior Authorization measure.
    However, in other scenarios, the initial prior authorization query 
from a health care provider to a payer could result in a response 
indicating the need for additional information before a determination 
as to whether prior authorization is approved or denied can be 
provided, based on the coverage requirements identified. Additional 
certified Health IT Modules supporting additional elements of the 
electronic prior authorization workflow would then need to be used to 
submit the prior authorization request after collecting the necessary 
documentation.
    Consider another hypothetical scenario where an MA enrollee has 
been diagnosed with metastatic colorectal cancer. The beneficiary's 
oncologist, working in an eligible hospital or CAH, has ordered a PET-
CT scan and immunotherapy infusion. In this scenario, the oncologist 
places the order for a PET-CT scan and immunotherapy infusion in the 
EHR, which is certified to the ``provider prior authorization API--
coverage requirements discovery'' criterion (45 CFR 170.315(g)(31)) and 
automatically queries the beneficiary's MA plan's FHIR API. The EHR 
receives a response via CDS Hooks card indicating that prior 
authorization is required for both services and describes coverage 
criteria and documentation needs. Because the EHR is also certified to 
45 CFR 170.315(g)(32), the certified health IT enables the oncologist 
to complete prior authorization following the DTR IG. An embedded SMART 
on FHIR app fetches the payer's specific documentation template and 
rules for oncology prior authorizations. For the PET-CT, the payer's 
documentation rules ask for the cancer staging information and previous 
imaging results; for immunotherapy, the payer's documentation rules 
require the patient's biomarker (for example, PD-L1 expression) status, 
prior treatment history, and recent lab results. Much of this 
information can be auto populated because the embedded DTR app uses 
Clinical Quality Language (CQL) logic and FHIR queries to pull the 
beneficiary's latest CT scan report and lab results from their medical 
record, and it confirms her cancer diagnosis and stage from the problem 
list. The oncologist answers a few additional questions (such as 
confirming the beneficiary has no contraindications and that a required 
biomarker test was positive) within the embedded DTR app. By the end of 
this step, the EHR has compiled all necessary supporting documentation 
for the prior authorization, ensuring the request will be complete.
    Next, the oncologist's office submits the prior authorization 
request electronically using the capabilities under the ``provider 
prior authorization API-prior authorization support'' criterion (45 CFR 
170.315(g)(33)) to bundle the request and documentation and send it to 
the MA plan's prior authorization endpoint. This bundle is transmitted 
via a FHIR RESTful interaction to the payer, as defined by the PAS IG. 
The EHR's certified Health IT Module ensures the request conforms to 
the required FHIR structure and sends it securely. Because all required 
information was provided up front and matched the plan's coverage 
criteria, the MA plan's system could potentially automatically 
adjudicate and approve the requests in near real-time. If that 
happened, the oncologist could now schedule the beneficiary's therapy 
without delay, confident that the services are covered.
    Both scenarios described result in a prior authorization request 
that successfully satisfies the action required by the proposed 
Electronic Prior Authorization measure and therefore would allow the 
eligible hospital or CAH to successfully report the measure. However, 
each example utilized different combinations of Health IT Modules 
certified to electronic prior authorization certification criteria in 
45 CFR 170.315(g)(31), (32), and (33). In the first scenario, the 
health care provider used a Health IT Module certified to the 
``provider prior authorization API--coverage requirements discovery'' 
criterion (45 CFR 170.315(g)(31)) to complete actions necessary for the 
eligible hospital or CAH successfully attest ``Yes'' to the measure. In 
the second scenario, the health care provider used Health IT Modules 
certified to all three of the electronic prior authorization 
certification criteria to complete all actions for the eligible 
hospital or CAH to successfully attest ``Yes'' to the measure.
    Consistent with these hypothetical examples, we note that an 
eligible hospital or CAH would be able to successfully attest to the 
measure using only those certified Health IT Modules necessary for the 
eligible hospital or CAH to complete the measure. Eligible hospitals 
and CAHs would not be required to adopt additional electronic prior 
authorization certified Health IT Modules if they are not needed for 
the purposes of successfully reporting the measure. We expect that the 
ability to utilize different combinations of certified Health IT 
Modules to meet the measure will afford eligible hospitals, CAHs, and 
health IT developers flexibility in how they deploy, adopt, and use 
different aspects of certified health IT functionality for electronic 
prior authorization.
d. Proposal To Make the Electronic Prior Authorization Measure a Bonus 
Measure for the EHR Reporting Period in CY 2027
    We are proposing to modify our previously finalized requirement 
that an

[[Page 19628]]

eligible hospital or CAH must report the Electronic Prior Authorization 
measure to be considered a meaningful EHR user for the EHR reporting 
period in CY 2027 (89 FR 8911). For multiple reasons, we believe that 
eligible hospitals and CAHs may need additional time and flexibility 
before requiring the Electronic Prior Authorization measure. First, we 
recognize that eligible hospitals, CAHs, and health IT developers will 
need additional time for procurement, integration, and testing to 
operationalize standards-based electronic prior authorization 
capabilities that support the Electronic Prior Authorization measure. 
Second, stakeholders have indicated that achieving widespread 
implementation and routine use of these capabilities in CY 2027 may be 
challenging, particularly for small, rural, and otherwise under-
resourced eligible hospitals and CAHs. Third, we expect additional 
implementation complexity for eligible hospitals, CAHs, and their 
vendors due to proposed changes in Prior Authorization API standards 
requirements that would occur in CY 2027. For these reasons, we believe 
that a year of optional reporting will both incentivize adoption of 
CEHRT through bonus points and offer flexibility to those hospitals and 
CAHs that could benefit from additional time to test, implement, and 
deploy CEHRT functionality necessary to support electronic prior 
authorization.
    Therefore, we are proposing to make the Electronic Prior 
Authorization measure, with the proposed measure updates, optional and 
eligible for 10 bonus points for eligible hospitals and CAHs that 
attest ``Yes'' to the measure for the EHR reporting period in CY 2027. 
Allocating 10 bonus points is an appropriate and effective incentive to 
promote the adoption and use of certified technology for requesting 
electronic prior authorizations among eligible hospitals and CAHs. 
Should we finalize this proposal to make the measure optional, an 
eligible hospital or CAH attesting ``No'' will not earn any bonus 
points, but attesting ``No'' will also not result in the eligible 
hospital or CAH failing to meet the measure, and, therefore, failing to 
meet minimum program requirements and not being considered a meaningful 
EHR user for the EHR reporting period in CY 2027. This would be a 
modification to the policy we adopted for this measure in the 2024 CMS 
Interoperability and Prior Authorization final rule (89 FR 8911). 
Optional reporting for the first year is particularly important for 
small, rural, or otherwise under-resourced eligible hospitals and CAHs 
navigating new measure requirements while minimizing and balancing 
burden.
    Should we finalize this proposal, exclusions would not be available 
for the Electronic Prior Authorization measure for the EHR reporting 
period in CY 2027, as exclusions are unnecessary for optional measures. 
Only those eligible hospitals and CAHs that attest ``Yes'' to the 
measure would receive the 10 bonus points. Given the time eligible 
hospitals and CAHs have had to become familiar with the Electronic 
Prior Authorization measure since the 2024 Interoperability and Prior 
Authorization final rule, we believe proposing this as an optional 
bonus measure solely for the EHR reporting period in CY 2027 would 
provide eligible hospitals and CAHs enough time to adopt and begin 
utilizing the certified health IT necessary to successfully report the 
Electronic Prior Authorization measure.
    We invite public comment on these proposals.
e. Proposal To Require the Electronic Prior Authorization Measure 
Beginning With the EHR Reporting Period in CY 2028
    When we adopted the Electronic Prior Authorization measure in the 
2024 CMS Interoperability and Prior Authorization final rule (89 FR 
8909 through 8927), we finalized that eligible hospitals and CAHs would 
be required to attest to the Electronic Prior Authorization measure 
beginning with the EHR reporting period in CY 2027 (89 FR 8910) and 
that only a ``Yes'' attestation, or claiming an applicable exclusion, 
would fulfill the requirements of the measure. Additionally, we 
finalized that although the measure would not be scored (that is, not 
assigned points for a ``Yes'' attestation) for the EHR reporting period 
in CY 2027, a ``No'' attestation would result in the eligible hospital 
or CAH not meeting the measure. The eligible hospital or CAH would 
therefore not meet minimum program requirements and not be considered a 
meaningful EHR user for the relevant EHR reporting period and be 
subject to a downward payment adjustment (89 FR 8911).
    As discussed in section IX.F.5.d, we are proposing to make the 
Electronic Prior Authorization measure optional for the EHR reporting 
period in CY 2027. Should we finalize the proposal to make the measure 
an optional bonus measure for the EHR reporting period in CY 2027, we 
are also proposing that eligible hospitals and CAHs would be required 
to attest ``Yes'' to the updated Electronic Prior Authorization measure 
beginning with the EHR reporting period in CY 2028. Consistent with the 
revised text we have proposed for the measure, we are proposing that an 
eligible hospital or CAH must request a prior authorization 
electronically using CEHRT to send a request through a payer's Prior 
Authorization API for at least one medical item or service (excluding 
drugs) ordered during a hospital encounter that occurs within the EHR 
reporting period to attest ``Yes'' to the measure, or else the eligible 
hospital or CAH must claim an applicable exclusion. Only a ``Yes'' 
attestation or claiming an applicable exclusion would fulfill the 
requirements of the measure. A ``No'' response would result in the 
eligible hospital or CAH not meeting measure requirements. And if an 
eligible hospital or CAH does not meet the measure requirements, it 
would not meet minimum program requirements nor be considered a 
meaningful EHR user for an EHR reporting period, and therefore, the 
hospital would be subject to a downward payment adjustment. This 
proposal mirrors the response requirements we adopted when we first 
adopted the measure but proposes to apply them to the EHR reporting 
period in CY 2028. We are proposing this modification to provide 
eligible hospitals and CAHs and additional time to prepare to 
successfully report the measure, consistent with our proposal to make 
the measure an optional bonus measure for the EHR reporting period in 
CY 2027.
    The measure exclusions originally adopted in the 2024 
Interoperability and Prior Authorization final rule (89 FR 8916 through 
8923) would be available to eligible hospitals and CAHs for the EHR 
reporting period in CY 2028 and subsequent years. The available 
exclusions would be: (1) an eligible hospital or CAH did not order any 
medical item or services (excluding drugs) requiring prior 
authorization during the EHR reporting period; or (2) the eligible 
hospital or CAH only ordered medical items or services (excluding 
drugs) requiring prior authorization from a payer that does not offer 
an API that meets CMS's specified Prior Authorization API requirements 
during the applicable EHR reporting period.
    When we adopted the Electronic Prior Authorization measure in the 
2024 Interoperability and Prior Authorization final rule (89 FR 8909 
through 8927), we finalized that eligible hospitals and CAHs would 
report the measure as an unscored attestation for only the EHR 
reporting period in CY 2027 (89 FR 8910), but we did not specify its 
scoring methodology for subsequent years because we determined that it 
would be more appropriate to determine the

[[Page 19629]]

measure's scoring structure closer in time to its effective date. In 
this proposed rule, we are also proposing that the Electronic Prior 
Authorization measure would remain unscored for the EHR reporting 
period in CY 2028 and subsequent years, which would allow time for 
eligible hospitals and CAHs to adjust to the new electronic prior 
authorization workflow using Prior Authorization APIs without undue 
focus on scoring implications in the Medicare Promoting 
Interoperability Program. We believe that the Electronic Prior 
Authorization measure will retain its importance as an aspect of health 
information exchange.
    We invite public comment on this proposal.
f. Request for Information on Future Potential Performance-Based 
Measure of Electronic Prior Authorization
    While we believe the current measure requirement of achieving ``at 
least one'' electronic prior authorization is appropriate for the 
initial inclusion of the measure in the Medicare Promoting 
Interoperability Program, we do not expect this minimal requirement to 
effectively increase electronic prior authorization usage over time. 
Therefore, we are seeking comments on potential future updates we could 
make to this measure to incentivize providers to use electronic prior 
authorization for a more substantial set of the electronic prior 
authorization requests that they submit over the course of an EHR 
reporting period. Consistent with statutory requirements in section 
1886(n)(3)(A)(ii) of the Act, we envision that expanding the scope of 
the measure in future rulemaking would lead to increased interoperable 
exchange of data that would not only decrease administrative burden, 
but could improve the quality of health by reducing the time needed for 
a patient to get access to necessary medical services and items. 
Reducing delays in the exchange of data and as a result providing 
patients care more efficiently, drives better care coordination, which 
is a key objective of meaningful use. Additionally, because electronic 
prior authorization requires data sharing, this advances 
interoperability, which is a primary focus of meaningful use.
    We also intend to drive consistent adoption of certified health IT 
capabilities supporting the complete electronic prior authorization 
workflow over time, by requiring eligible hospitals and CAHs to address 
a wider array of prior authorization requests that require more complex 
interactions with payers. The public input we receive will contribute 
to future considerations for potentially updating the Electronic Prior 
Authorization measure in a manner that helps achieve HHS's goals of 
promoting meaningful use of certified EHR technology, electronic 
exchange of health information, and submission of clinical quality 
measures.
    We invite comments on how we can further strengthen the Electronic 
Prior Authorization measure in a manner that incentivizes progress 
while minimizing burden on eligible hospitals and CAHs. We also seek 
comment on barriers and challenges small, rural, or otherwise under-
resourced eligible hospitals and CAHs might face reporting a 
performance-based electronic prior authorization measure.
6. Proposal To Adopt a Unique Device Identifiers for Implantable 
Medical Devices Measure in the Public Health and Clinical Data Exchange 
Objective
a. Background
    Under section 519(f) of the Federal Food, Drug, and Cosmetic Act 
(the FD&C Act) (21 U.S.C. 360i(f)), the Food and Drug Administration 
(FDA) issued regulations establishing a unique device identification 
system \431\ for medical devices (78 FR 58786).\432\ The Unique Device 
Identifier (UDI) is a standard identifier that adequately identifies a 
medical device from manufacturing through distribution to patient use. 
The UDI is composed of the Device Identifier (UDI-DI), which identifies 
the version or model of a device, and the Production Identifier(s) 
(UDI-PI), which contain production information about a device such as 
lot or batch number, serial number, expiration and manufacturing dates, 
and distinct identification code for human cellular or tissue-based 
products.\433\ The FDA UDI system requires device labelers to include 
UDIs on device labels and packages in both human readable form and 
machine-readable form such that it can be read by a bar code scanner or 
other similar technology, \434\ and submit device identification 
information to FDA's Global Unique Device Identification Database 
(GUDID), which is accessible from two public portals, AccessGUDID \435\ 
and OpenFDA.\436\
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    \431\ For more information, see: https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
    \432\ https://www.federalregister.gov/documents/2013/09/24/2013-23059/unique-device-identification-system.
    \433\ https://accessgudid.nlm.nih.gov/about-gudid#what-is-udi.
    \434\ https://www.fda.gov/media/99084/download.
    \435\ https://accessgudid.nlm.nih.gov/.
    \436\ https://open.fda.gov/apis/device/udi/.
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    FDA designed the UDI system to serve multiple public health 
objectives by enabling rapid and accurate device identification 
throughout distribution and use (78 FR 58786). UDIs can reduce medical 
errors by allowing healthcare providers to positively identify devices 
and access key attributes through GUDID rather than consulting multiple 
and potentially inconsistent sources, thus eliminating confusion that 
can lead to inappropriate device use. The UDI system also allows for 
accurate identification of devices associated with adverse events, 
enabling manufacturers and FDA to more rapidly aggregate and analyze 
related reports, isolate underlying problems, and develop appropriate 
solutions for safety issues. Routine inclusion of UDIs as discrete data 
elements in EHRs and registries would enable accurate identification of 
devices used during patient care delivery, facilitate rapid 
notification and follow-up care during recalls, and improve care 
coordination across providers. Additionally, discrete documentation of 
UDI strengthens real world data sources for use across the device 
lifecycle. This would improve FDA's ability to conduct post-market 
surveillance and outcomes-based research.\437\ UDIs also enable more 
efficient and effective inventory and supply chain management, 
providing the foundation for a global, secure distribution chain, 
helping to address counterfeiting and diversion while supporting 
preparedness for medical emergencies.
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    \437\ https://www.fda.gov/science-research/science-and-research-special-topics/real-world-evidence.
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    While the foundation for the UDI system is established with UDI 
present on device labels and data available in GUDID, the healthcare 
system has yet to achieve broad adoption of UDI documentation. Fully 
realizing the benefits of the UDI system depends on UDIs being 
integrated into data sources throughout the healthcare system, 
including the supply chain, EHRs, medical device registries, and 
claims.438 439 Multiple barriers and challenges to UDI 
adoption have been noted,\440\ including lack of knowledge across the 
health care system about the benefits and return on investment for

[[Page 19630]]

UDI implementation, and lack of regulatory and policy mandates.
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    \438\ Wang X, Ayakulangara Panickan V, Cai T, Xiong X, Cho K, 
Cai T, Bourgeois FT. Endovascular aneurysm repair devices as a use 
case for postmarketing surveillance of medical devices. JAMA 
Internal Medicine. 2023 Oct;183(10):1090-7.
    \439\ Rathi VK, Ross JS, Redberg RF. Unique device identifiers--
missing in action. JAMA internal medicine. 2023 Oct;183(10):1049-50.
    \440\ https://nestcc.org/wp-content/uploads/NESTcc-UDI-Playbook_11-15-2022.pdf.
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    However, capabilities to capture UDI in health IT systems have been 
widely adopted by eligible hospitals and CAHs. In the ONC Health IT 
Certification Program, the ``implantable device list'' certification 
criterion at 45 CFR[thinsp]170.315(a)(14) requires Health IT Modules 
certified to the criterion to record and allow a user to access a list 
of UDIs[thinsp]associated with a patient's implantable devices. This 
certification criterion is currently included in the Base EHR 
definition and has been widely implemented in health IT products, with 
341 Health IT Modules identified as certified to the criterion. Other 
certification criteria also support the use of UDI. Under the 
``standardized API for patient and population services'' criterion in 
45 CFR 170.315(g)(10), which is also included in the Base EHR 
definition, a certified Health IT Module must be able to make UDI 
information for a patient's implantable device(s) available using a 
standards-based API according to the HL7[supreg] FHIR[supreg] US Core 
Implementation Guide STU 6.1.0 FHIR Implementation Guide. Additionally, 
the criteria at 45 CFR 170.315(b)(1)--``transitions of care'' and 45 
CFR 170.315(b)(2)--``clinical information reconciliation and 
incorporation,'' which have long been required for measures in the 
Health Information Exchange Objective, support the ability for 
providers to receive, send, and reconcile documents that contain UDI 
information.
    Wide use of products certified to these criteria by eligible 
hospitals and CAHs indicates that eligible hospitals and CAHs have the 
ability to store and exchange UDIs if they document them.\441\ 
Published evidence via health system case studies show that capturing 
UDI via barcode scanning at the point of care is operationally 
feasible.442 443 In cardiac catheterization lab 
implementation studies, barcode scanning was successfully integrated 
into routine workflow to link device identifiers to clinical 
records.\444\ Frontline nursing evaluations in surgical services report 
that implant barcode scanning is workable in practice.\445\ Together, 
these studies demonstrate that structured UDI captured in EHRs using 
barcode technology can be implemented without substantial workflow 
disruption.
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    \441\ https://chpl.healthit.gov/#/search.
    \442\ https://www.ahrmm.org/resource-repository-ahrmm/stanford-health-care-udi-capture-work-group-case-study-2017-1.
    \443\ https://www.ahrmm.org/resource-repository-ahrmm/baptist-health-udi-capture-work-group-case-study-2017-1.
    \444\ https://pubmed.ncbi.nlm.nih.gov/27343161/.
    \445\ Wilson N, Jehn M, Kisana H, Reimer D, Meister D, Valentine 
K, Reiser M, Clarke H. Nurses' perceptions of implant barcode 
scanning in surgical services. CIN: Computers, Informatics, Nursing. 
2020 Mar 1;38(3):131-8.
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b. Proposal To Adopt Unique Device Identifiers for Implantable Devices 
Measure Beginning With the EHR Reporting Period in CY 2027
    The routine, electronic capture and discrete storage of UDIs for 
implantable medical devices directly advances the Secretary's core 
responsibility, articulated in the statutory authority for the Medicare 
Promoting Interoperability Program, to improve the use of electronic 
health records and health care quality over time. Such electronic 
capture and discrete storage of UDIs would advance the safety of health 
care, an essential element of health care quality. Broader use of UDIs 
is similarly aligned with the meaningful use of CEHRT through the 
Medicare Promoting Interoperability Program. A primary aspect of the 
meaningful use of CEHRT is whether valuable data are captured at the 
point of care and available for subsequent exchange and use by health 
care providers. For example, in the ``Medicare and Medicaid Programs; 
Electronic Health Record Incentive Program'' final rule (75 FR 44328), 
we implemented, in the precursor program to the Medicare Promoting 
Interoperability Program, multiple data capture-related measures such 
as ``Record Smoking Status'' and ``Maintain Active Medication List'' 
because, as we noted, the availability of pertinent clinical data is 
important to the meaningful use of CEHRT. Integrating a UDI-focused 
measure into the Program would foster consistent workflows for 
capturing device data as discrete EHR elements and strengthen the 
ability of eligible hospitals, CAHs, beneficiaries, and public health 
agencies to use interoperable health information to improve outcomes, 
manage risk, and respond rapidly to device-related safety concerns. 
Multiple studies and pilots have discussed the ease of UDI capture at 
the point of care through bar code scanning, storage in the EHR, and 
transmission to the health plan through claims.446 447
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    \446\ Krupka, Dan C. Ph.D., et.al. Transmitting Device 
Identifiers of Implants From the Point of Care to Insurers: A 
Demonstration Project. Journal of Patient Safety 17(3):p 223-230, 
April 2021. [verbar] DOI: 10.1097/PTS.0000000000000828 Journal of 
Patient Safety.
    \447\ N Wilson, et.al., Advancing Patient Safety Surrounding 
Medical Devices: Barriers, Strategies, and Next Steps in Health 
System Implementation of Unique Device Identifiers--PubMed.
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    Therefore, we are proposing to adopt the following Unique Device 
Identifiers for Implantable Medical Devices measure under the Public 
Health and Clinical Data Exchange objective. We believe this measure 
will additionally further public health surveillance benefits that 
would arise from capturing the UDI for implanted medical devices.
    Measure Description: The eligible hospital or CAH uses CEHRT during 
the EHR reporting period to electronically capture and store, as one or 
more discrete data elements within the patient's electronic health 
record, the complete Unique Device Identifier (UDI), which includes the 
device identifier and, when present on the device label, the production 
identifier, for each implantable medical device subject to UDI 
requirements used for patient care delivery.
    Reporting Requirements: ``Yes'' or ``No'' attestation.
    Exclusion: The eligible hospital or CAH implanted five or fewer 
medical devices subject to UDI requirements during the calendar year of 
the applicable EHR reporting period.
    We are proposing to require eligible hospitals and CAHs to attest 
to this measure beginning with the EHR reporting period in CY 2027. For 
this measure, eligible hospitals and CAHs would be required to attest 
``Yes'' or ``No'' to meet measure requirements or claim an applicable 
exclusion. Not providing a ``yes'' or ``no'' attestation would result 
in failure to meet minimum program requirements, and the eligible 
hospital or CAH would be subject to a downward payment adjustment. No 
points will be assigned to this measure; rather, it would be one of 
seven measures required to satisfy the Public Health and Clinical Data 
Exchange objective. We are proposing to allow both ``Yes'' and ``No'' 
responses to fulfill measure requirements as part of our proposal to 
initially adopt the measure, which would allow eligible hospitals and 
CAHs to become familiar with the concept of UDI and highlight its 
importance while avoiding undue burden. We also note that we specify in 
the proposed measure that it only applies to implantable medical 
devices subject to UDI requirements under 21 CFR 801.20(a) and 21 CFR 
part 830, subpart E, which represents most implantable medical devices. 
However, some devices, such as investigational devices, devices for 
research use only, and custom devices, are exempt from UDI requirements 
and would therefore also be exempt from this measure. We highlight here 
that we intend to propose modifying the measure in future rulemaking to 
further promote the

[[Page 19631]]

appropriate capture of UDIs within the EHR. We are proposing one 
exclusion for the UDIs for Implantable Medical Devices Measure. We 
invite comments on any additional exclusions that should be considered 
for this measure.
    As discussed, there are numerous health IT certification criteria 
that reference UDI, including the ``implantable device list'' 
certification criterion in 45 CFR[thinsp]170.315(a)(14) which would be 
required to support the measure. However, we note that ONC proposed to 
remove this criterion in the HTI-5 proposed rule (90 FR 60983), and if 
ONC finalizes removal of this criterion we would not reference this 
criterion as required to support the measure. Separate from this 
dedicated certification criterion, the UDI is a named data element 
within the US Core Data for Interoperability Version 3 as the ``Unique 
Device Identifier(s) for a patient's implantable device(s)'' \448\ and 
therefore is a supported element within the HL7[supreg] FHIR[supreg] US 
Core Implementation Guide STU 6.1.0 FHIR Implementation Guide,\449\ 
which Health IT Modules certified to the certification criterion at 45 
CFR 170.315(g)(10) must be capable of using to respond to requests for 
patient data. We are also identifying the criterion at 45 CFR 
170.315(g)(10) as required to support fulfillment of the measure, which 
is also part of the Base EHR definition in 45 CFR 170.102 and thus 
already incorporated into the definition of CEHRT at 42 CFR 495.4. We 
welcome comments as to whether other certification criteria should be 
considered to support this measure.
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    \448\ For more information, see: https://www.healthit.gov/isp/united-states-core-data-interoperability-uscdi#uscdi-v3.
    \449\ For more information, see: https://hl7.org/fhir/us/core/STU6.1/.
---------------------------------------------------------------------------

    We invite public comment on these proposals. We also invite 
comments on the feasibility of the timeline and any additional 
exclusions that we should consider for this measure in future 
rulemaking.
c. Request for Information on the Future Direction of the Proposed 
Unique Device Identifiers for Implantable Devices Measure and 
Additional Options for Utilizing UDI
    Should we adopt the measure, we would also intend to consider 
future modifications to this measure and invite public comment on the 
following questions.
Performance-Based Measure
     How could we design a feasible performance-based measure 
(for example, with a numerator and denominator) to assess the 
meaningful use of UDI data? How should the denominator be defined (for 
example, all implantable devices used during patient care delivery, 
specific procedure codes, specific device categories)? Are there 
specific data sources or definitions that would be appropriate and less 
burdensome for identifying the denominator population?
     Are there categories of implantable devices for which UDI 
capture would be particularly challenging for a performance-based 
measure? If so, please describe the specific challenges.
     What performance measure can we utilize to ensure the data 
quality of the UDI captured during patient care delivery is valid and 
usable? Should we require that the CEHRT validate UDI accuracy and 
format against the GUDID?
     When multiple implantable medical devices are used on a 
given patient during a given care episode, would there be any 
challenges in complete documentation of all device UDIs for a 
performance-based measure? If so, please describe the specific 
challenges.
     Should we consider adopting a future measure that assesses 
whether the eligible hospital or CAH makes UDI data available for 
exchange via certified health IT, for example, using the standardized 
FHIR API for patient and population services?
     Should we require in a measure that an eligible hospital 
or CAH must record UDIs for relevant devices in patient discharge 
summaries, after-visit summaries, or in patient portals?
     What measures could we adopt to show that a health care 
provider working in an eligible hospital or CAH uses the UDI to compare 
quality among devices, track recalls, and coordinate patient follow-up 
care including across health systems and for revision surgery or 
explanation?
     Should CMS consider introducing a performance threshold 
for any such measure with a numerator and denominator? Should CMS 
consider phased-in implementation with increasing thresholds over time 
for a performance-based measure?
Additional UDI Options
     Are there other CMS programs or care settings (for 
example, hospital outpatient, ambulatory surgery centers, nursing 
homes, skilled nursing facilities, rehabilitation centers or office-
based practices) through which we should consider addressing 
appropriate UDI capture and exchange? What would be the most 
appropriate means to do so?
     What technical barriers, if any, exist that would prevent 
other care settings or non-hospital provider types from capturing UDIs 
at the point of care (for example, barcode scanning infrastructure, EHR 
system limitations, integration with surgical and supply chain 
systems)?
     Are there existing workflows or technologies that could 
reduce burden regarding better utilization of UDI data exchange while 
maintaining data quality (for example, automated scanning at point of 
use, integration with supply chain systems)?
    Comments received in response to this RFI may inform future 
rulemaking.
7. Overview of Scoring Methodology
    In the FY 2019 IPPS/LTCH PPS final rule (83 FR 41636), we adopted a 
performance-based scoring methodology for eligible hospitals and CAHs 
reporting to the Medicare Promoting Interoperability Program beginning 
with the EHR reporting period in CY 2019. This methodology included a 
minimum scoring threshold that eligible hospitals and CAHs must meet in 
addition to the requirement to report on the objectives and measures of 
meaningful use under 42 CFR 495.24. In the FY 2025 IPPS/LTCH PPS final 
rule (89 FR 68986), we finalized a proposal to increase the 
performance-based scoring threshold to 70 points for the EHR reporting 
period in CY 2025 and to 80 points beginning with the EHR reporting 
period in CY 2026.
    As shown in Table IX.F.-02., as proposed for the EHR reporting 
period in CY 2027, the points associated with the required measures sum 
to 100 points, and reporting on one or more of the optional bonus 
measures (including the Electronic Prior Authorization measure should 
we finalize our proposal for that to be a bonus measure for CY 2027), 
offers up to an additional 15 bonus points. The scores for each of the 
required measures and bonus measures are added together to calculate a 
total score of up to 115 possible points for each eligible hospital or 
CAH. We refer readers to Table IX.F.-02. in this proposed rule, which 
reflects the objectives, measures, maximum points available, and 
whether a measure is required or optional for the EHR reporting period 
in CY 2027 based on our previously adopted policies and the proposals 
included in this proposed rule.
    As shown in Table IX.F.-03., as proposed for the EHR reporting 
period in CY 2028 and subsequent years, the points associated with the 
required measures still sum to 100 points, although the Support 
Electronic Referral Loops by Sending Health Information and Support 
Electronic Referral Loops by Receiving and Reconciling Health

[[Page 19632]]

Information would no longer be an option to report for the Health 
Information Exchange objective based on proposals in this proposed 
rule. The Electronic Prior Authorization measure is proposed to return 
as a required measure beginning with the EHR reporting period in CY 
2028, and 5 bonus points remain available under the Public Health and 
Clinical Data Exchange objective. The scores for each of the required 
measures and bonus measures are added together to calculate a total 
score of up to 105 possible points for each eligible hospital or CAH.
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    The maximum number of points available for each measure described 
in Tables IX.F.-02. and IX.F.-03. do not include the points that would 
be redistributed in the event an exclusion is claimed for a given 
measure. We are not proposing any changes to our policy for point 
redistribution in the event an exclusion is claimed. We refer readers 
to Tables IX.F.-04. in this proposed rule, which shows point 
redistribution among the objectives and measures for the EHR reporting 
period in CY 2027 in the event an eligible hospital or CAH claims an 
exclusion. Similarly, Table IX.F.-05. shows the redistribution for the 
EHR reporting periods in CY 2028 and subsequent years.
    We note that we adopted and codified a measure suppression policy 
for the Medicare Promoting Interoperability Program beginning with the 
EHR reporting period in CY 2026 at Sec.  [thinsp]495.24(f)(3) in the 
Medicare and Medicaid Programs; CY 2026 Payment Policies Under the 
Physician Fee Schedule and Other Changes to Part B

[[Page 19635]]

Payment and Coverage Policies; Medicare Shared Savings Program 
Requirements; and Medicare Prescription Drug Inflation Rebate Program 
final rule (CY 2026 PFS final rule) (90 FR 49881). Specifically, we 
codified that if certain circumstances occur that impact our assessment 
of the performance of eligible hospitals and CAHs on a measure selected 
for the Medicare Promoting Interoperability Program, we have the sole 
discretion to suppress the affected measure by excluding it from our 
assessment of performance. In this case, we would allocate the maximum 
points available or provide full credit for the affected measure if the 
eligible hospital or CAH reports the affected measure, or we would 
exclude the affected measure from the determination of a meaningful EHR 
user if the affected measure is not scored. For more information, see 
the CY 2026 PFS final rule at 90 FR 49881.
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8. Overview of Objectives and Measures
    Table IX.F.-06. lists objectives and measures for the Medicare 
Promoting Interoperability Program for the EHR reporting period in CY 
2027 and reflects the proposals in this proposed rule as well as 
proposed changes that would go into effect for the EHR reporting period 
beginning with CY 2028. For measures that have differing information 
between the EHR reporting period in CY 2027 and the EHR reporting 
period in CY 2028 and subsequent years, then the applicable year will 
be noted in the measure column. Table IX.F.-07. lists the ONC health IT 
certification criteria required to meet specific objectives and 
measures.

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BILLING CODE 4120-01-C
9. Clinical Quality Measurement for Eligible Hospitals and CAHs 
Participating in the Medicare Promoting Interoperability Program
a. Background on Clinical Quality Measurement for Eligible Hospitals 
and CAHs
    Under sections 1814(l)(3)(A) and 1886(n)(3)(A) of the Act and the 
definition of ``meaningful EHR user'' under 42 CFR 495.4, eligible 
hospitals and CAHs must report on clinical quality measures (also 
referred to as electronic clinical quality measures, or eCQMs) selected 
by CMS using CEHRT as part of the Medicare Promoting Interoperability 
Program.
    As we stated in the FY 2018 IPPS/LTCH PPS final rule (82 FR 38479), 
we intend to continue to align the eCQM reporting requirements and eCQM 
measure set for the Medicare Promoting Interoperability Program with 
similar requirements under the Hospital Inpatient Quality Reporting 
Program, to the extent feasible. Section 1886(n)(3)(B)(i)(I) of the Act 
requires the Secretary to provide preference for the selection of 
clinical quality measures that are also used in the Hospital Inpatient 
Quality Reporting Program or endorsed by the entity with a contract 
with the Secretary under section 1890(a) of the Act (referred to in 
this rule as the consensus-based entity (CBE)). Furthermore, aligning 
eCQM reporting requirements between the Medicare Promoting 
Interoperability Program and the Hospital Inpatient Quality Reporting 
Program allows for improved coordination, burden reduction, and the 
promotion of quality care.
b. Proposals To Adopt and Remove eCQMs
    As discussed in section IX.B.1., section IX.C.3., section IX.C.4., 
and section IX.C.8.c. of the preamble of this proposed rule, and in 
alignment with the Hospital Inpatient Quality Reporting Program, we are 
proposing to adopt and remove the same eCQMs for the Medicare Promoting 
Interoperability Program beginning with the CY 2028 reporting period. 
Specifically, we are proposing to adopt the following two eCQMs in the 
Medicare Promoting Interoperability Program eCQM measure set from which 
eligible hospitals and CAHs could self-select to report, beginning with 
the CY 2028 reporting period: (1) Hospital Harm--Postoperative Venous 
Thromboembolism; and (2) Advance Care Planning. Additionally, we are 
proposing to remove the following three eCQMs from the Medicare 
Promoting Interoperability Program eCQM measure set, beginning with the 
CY 2028 reporting period: (1) Discharged on Antithrombotic Therapy; (2) 
Venous Thromboembolism Prophylaxis eCQM; and (3) Intensive Care Unit 
Venous Thromboembolism Prophylaxis.
    We invite public comment on these proposals.
c. Proposal To Modify the eCQM Reporting and Submission Requirements
    Consistent with our goal to align the eCQM reporting periods and 
criteria in the Medicare Promoting Interoperability Program with the 
Hospital Inpatient Quality Reporting Program, eligible hospitals and 
CAHs are currently required to annually report data for each required 
eCQM and three self-selected eCQMs for the CY 2026 reporting period and 
subsequent years (85 FR 58975 through 58976, 86 FR 45496, 87 FR 49365 
through 49367, and 89 FR 69623 through 69624). We are not proposing 
changes to our previously finalized policy that progressively increases 
the number of mandatory eCQMs a hospital must report for the CY 2026 
reporting period or the CY 2027 reporting period (89 FR 69623 through 
69624). In alignment with the Hospital Inpatient Quality Reporting 
Program, we are proposing changes to the reporting and submission 
requirements for eCQMs for the Medicare Promoting Interoperability 
Program beginning with the CY 2028 reporting period. Specifically, we 
propose to modify the eCQM reporting and submission requirements for 
the Hospital Harm eCQMs such that beginning with the CY 2028 reporting 
period these eCQMs would become mandatory for reporting after 2 years 
of self-selected reporting. Under this proposal, the Hospital Harm--
Falls with Injury eCQM and the Hospital Harm--Postoperative Respiratory 
Failure eCQM would become mandatory for reporting beginning with the CY 
2028 reporting period. Consistent with this proposed approach for the 
Hospital Harm eCQMs (that is, two years of self-selected reporting 
followed by mandatory reporting in the third year), the proposed 
Hospital Harm--Postoperative

[[Page 19653]]

VTE eCQM would be available for self-selected reporting for the CY 2028 
and CY 2029 reporting periods and would become mandatory for reporting 
beginning with the CY 2030 reporting period, if finalized. We refer 
readers to section IX.C.8.c. of the preamble of this proposed rule for 
more detailed discussion in the Hospital Inpatient Quality Reporting 
Program.
    Further, we propose to require mandatory reporting of the 
Malnutrition Care Score eCQM beginning with the CY 2028 reporting 
period. The Hospital Harm--Falls with Injury eCQM, the Hospital Harm--
Postoperative Respiratory Failure eCQM, and the Malnutrition Care Score 
eCQM would continue to be available as self-selected measures for the 
CY 2027 reporting period. These proposed changes are intended to 
further incentivize improvements in patient safety and nutrition care. 
We refer readers to section IX.C.8.c. of the preamble of this proposed 
rule for more detailed discussion in the Hospital Inpatient Quality 
Reporting Program about our rationale.
    We refer readers to Table IX.F.-9 for the full list of eCQMs 
available by reporting period. Table IX.F.-8 summarizes our proposed 
policies to modify reporting and submission requirements for eCQMs 
beginning with the CY 2028 reporting period.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.202


[[Page 19654]]


    We invite public comment on this proposal.
d. Summary of Previously Finalized and Newly Proposed eCQMs Available 
for Eligible Hospitals and CAHs To Report Under the Promoting 
Interoperability Program
    Table IX.F.-9 summarizes the previously finalized and newly 
proposed eCQMs available for eligible hospitals and CAHs to report 
under the Medicare Promoting Interoperability Program for the specified 
reporting periods, including whether the measure is mandatory or self-
selected as further discussed in section IX.C.8.c. regarding proposed 
changes to this latter policy.

[[Page 19655]]

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[[Page 19656]]


BILLING CODE 4120-01-C

X. Other Provisions Included in This Proposed Rule

A. Proposed Changes to the Transforming Episode Accountability Model 
(TEAM)

1. Background
a. Purpose
    TEAM is a 5-year mandatory alternative payment model tested by the 
CMS Innovation Center that will began on January 1, 2026, and end on 
December 31, 2030. TEAM will test whether an episode-based pricing 
methodology linked with quality measure performance for select acute 
care hospitals reduces Medicare program expenditures while preserving 
or improving the quality of care for Medicare beneficiaries who 
initiate certain episode categories. Specifically, TEAM will test five 
surgical episode categories: Coronary Artery Bypass Graft Surgery 
(CABG), Lower Extremity Joint Replacement (LEJR), Major Bowel 
Procedure, Surgical Hip/Femur Fracture Treatment (SHFFT), and Spinal 
Fusion.
    As discussed in greater detail in section X.A.1.b. of the preamble 
of this proposed rule, TEAM was established through notice and comment 
rulemaking. As a mandatory model, new policies or policy modifications 
require notice and comment rulemaking. In this proposed rule, we are 
seeking to make updates to TEAM that include the following 
modifications:
     Adding new Medicare Severity Diagnosis Related Groups (MS-
DRGs) to the spinal fusion episode category.
     Adjusting episode attribution.
     Adjusting the measurement performance periods for certain 
quality measures.
     Adjusting the construction of the CQS baseline period.
     Capturing Ambulatory Payment Classification (APC) and MS-
DRG changes in preliminary target prices.
     Adjusting the construction of the prospective 
normalization factor.
    We are also soliciting public comment on two Requests for 
Information (RFI) in the following policy areas:
     Ambulatory Surgical Center (ASC) Episodes.
     Voluntary Hospital with Physician Ownership (POH) The 
policies in this proposed rule reflect our commitment to ensuring 
TEAM's incentives help to drive beneficiary quality of care 
improvements and reductions in Medicare spending.
b. Statutory Authority and Background
    Under the authority of section 1115A of the Act, through notice-
and-comment rulemaking, the CMS Innovation Center established TEAM in 
the FY 2025 IPPS/LTCH PPS final rule that appeared in the August 28, 
2024, Federal Register (89 FR 69626 through 69879). The intent of TEAM 
is to improve beneficiary care through financial accountability for 
episode categories that begin with one of the following procedures: 
CABG, LEJR, major bowel procedure, SHFFT, and spinal fusion. TEAM will 
test whether financial accountability for these episode categories 
reduces Medicare expenditures while preserving or enhancing the quality 
of care for Medicare beneficiaries.
    Under Original Medicare, Medicare makes separate payments to 
providers and suppliers for the items and services furnished to a 
beneficiary over the course of an episode of care. Because providers 
and suppliers are paid for each individual item or service delivered, 
providers may not be incentivized to invest in quality improvement and 
care coordination activities. As a result, care may be fragmented, 
unnecessary, or duplicative. By holding hospitals accountable for all 
items and services provided during an episode, providers would be 
better incentivized to coordinate patient care, avoid duplicative or 
unnecessary services, and improve the beneficiary care experience 
during care transitions.
    Under TEAM, all acute care hospitals, with limited exceptions, 
located within the Core Based Statistical Areas (CBSAs) that CMS 
selected for model implementation are required to participate in TEAM. 
CMS allowed a one-time opportunity for hospitals that participate until 
the last day of the last performance period in the Bundled Payments for 
Care Improvement Advanced (BPCI Advanced) Model or the last day of the 
last performance year of the Comprehensive Care for Joint Replacement 
(CJR) Model, that are not located in a mandatory CBSA selected for TEAM 
participation, to voluntarily opt into TEAM. TEAM includes a 1-year 
glide path opportunity that allows TEAM participants to ease into full 
financial risk as well as three different participation tracks to 
accommodate different levels of financial risk and reward. Track 1 is 
an upside only risk track available for all TEAM participants in the 
first performance year and available to safety net hospitals for the 
first 3 performance years. Track 2 is a two-sided risk track that has 
lower financial risk and reward, relative to Track 3, and will be 
available to select TEAM participants in performance years 2 through 
5.\450\ Track 3 is a two-sided risk track that has higher financial 
risk and reward, relative to Track 2, and is available to all TEAM 
participants in performance years 1 through 5.
---------------------------------------------------------------------------

    \450\ TEAM participants eligible for Track 2 include safety net 
hospitals, rural hospitals, Medicare dependent hospitals, Sole 
Community Hospitals, and Essential Access Community Hospitals, all 
defined at Sec.  512.505.
---------------------------------------------------------------------------

    Episodes include non-excluded Medicare Parts A and B items and 
services and begin with an anchor hospitalization or anchor procedure 
and will end 30 days after hospital discharge. TEAM participants 
continue to bill Medicare FFS as usual for items and services delivered 
to beneficiaries in an episode but will receive preliminary target 
prices for episodes prior to each performance year. Target prices are 
based on 3 years of baseline data, prospectively trended forward to the 
relevant performance year, and calculated at the level of Medicare 
Severity Diagnosis Related Group/Healthcare Common Procedure Coding 
System (MS-DRG/HCPCS) episode type and region. Target prices also 
include a discount factor and risk-adjustment. Participants will 
receive reconciliation (final) target prices that will incorporate a 
capped retrospective trend factor adjustment and a capped normalization 
factor.
    Performance in the model will be assessed by comparing TEAM 
participants' actual Medicare FFS spending during a performance year to 
their reconciliation target price as well as by assessing performance 
on selected quality measures. TEAM participants may earn a payment from 
CMS, subject to a quality performance adjustment, if their spending is 
below the reconciliation target price. TEAM participants may owe CMS a 
repayment amount, subject to a quality performance adjustment, if their 
spending was above the reconciliation target price.
2. TEAM Provisions of This Proposed Rule
a. Episodes
(1) Background
    As indicated in the FY 2025 IPPS/LTCH PPS final rule, an episode 
has two significant dimensions: (1) a clinical dimension that describes 
which clinical conditions and associated services are included in the 
episode; and (2) a time dimension that describes the beginning and end 
of the episode, its length, and when the episode may be cancelled prior 
to the end of the episode (89 FR 69710). Under TEAM, episodes begin 
when a beneficiary is admitted for an

[[Page 19657]]

anchor hospitalization or an anchor procedure identified by specific 
Medicare Severity Diagnosis Related Groups (MS-DRGs) or Healthcare 
Common Procedure Coding System (HCPCS) codes, identified in 42 CFR 
512.525(d). TEAM episodes include all spending for Medicare Parts A and 
B items and services during the anchor hospitalization or anchor 
procedure and a 30-day post-discharge period, as described in 42 CFR 
512.525(e), with limited exclusions as outlined in 42 CFR 512.525(f). 
An episode may be cancelled if the beneficiary (1) does not meet the 
beneficiary inclusion criteria, as outlined in 42 CFR 512.535; (2) dies 
during the anchor hospitalization or anchor procedure; or (3) the 
episode qualifies for the extreme and uncontrollable circumstances 
policy, as described in 42 CFR 512.537(b)(3).
    TEAM tests five episode categories, identified in Table X.A.-01, 
that represent high-expenditure, high-volume care delivered to Medicare 
beneficiaries. These episode categories also generally have a greater 
proportion of spending in the post-acute period relative to the anchor 
hospitalization or procedure, that present a greater opportunity to 
improve care transitions for beneficiaries and reduce unnecessary 
hospitalizations and emergency care.
[GRAPHIC] [TIFF OMITTED] TP14AP26.204

(2) Proposed Changes to Spinal Fusion Episode Category
    Generally, CMS assesses MS-DRG classification changes on an annual 
basis with the fiscal year IPPS rulemaking cycle. These changes may 
result in the addition, modification, or deletion of MS-DRGs. Since 
inpatient episodes in TEAM rely on MS-DRG codes to identify when an 
anchor hospitalization is initiated, any changes to the MS-DRGs 
included in TEAM may affect episode volume and ultimately the number of 
beneficiaries included in the model. As described in section II.C of 
the preamble of this proposed rule, there are proposals to change 
certain MS-DRGs that affect the spinal fusion episode category in TEAM. 
Specifically, three new MS-DRGs are being proposed to better classify 
beneficiary acuity and resource utilization for a subset of spinal 
fusion procedures. If these new MS-DRGs are finalized, we propose to 
make conforming changes in TEAM, therefore we propose at Sec.  
512.525(d)(4)(i) that starting on October 1, 2026, MS-DRGs 523, 524, 
and 525 would be added to the spinal fusion episode category that would 
initiate a spinal fusion anchor hospitalization. We also propose at 
Sec.  512.505 to update the spinal fusion definition to include these 
three new MS-DRGs. This means the other spinal fusion MS-DRGs remain 
unchanged and would initiate a spinal fusion anchor hospitalization 
starting on January 1, 2026. We believe it's important to include these 
proposed new MS-DRGs in TEAM so that hospitals can continue to have 
sufficient spinal fusion episode volume to pursue efficiencies in care 
delivery, spread financial risk, and increase the potential to maximize 
beneficiaries access to value-based care. Further, not including these 
proposed new MS-DRGs may reduce the scale and create evaluation 
challenges for the spinal fusion episode category. Lastly, we also 
believe it's important to capture proposed MS-DRG updates in TEAM to 
reflect current coding standards, ensuring consistency with IPPS 
policies.
    We considered, but are not proposing, not to update the MS-DRGs in 
TEAM for the spinal fusion episode category. This would mean that only 
the spinal fusion MS-DRGs that remain unchanged would initiate a spinal 
fusion anchor hospitalization in TEAM. While this approach would 
minimize change during the model test, episode volume would remain a 
concern. Additionally, we believe it is also not a feasible long-term 
approach because it's not responsive to Medicare policy changes and 
prohibits beneficiaries from accessing the benefits of the model.
    We seek comment on our proposals atSec.  [thinsp]512.505 to update 
the spinal fusion definition and at Sec.  [thinsp]512.525(d)(4)(i) to 
add MS-DRGs 523, 524, and 525 to the spinal fusion category.
(3) Proposed Changes to Episode Attribution
    In section X.C. of the preamble of this proposed rule, the 
Comprehensive Care for Joint Replacement Expanded (CJR-X) Model is 
being proposed as an expanded phase II model test under Section 
1115A(c) of the Act. Similar to TEAM, CJR-X would be a mandatory 
episode-based payment model for acute care hospitals with a focus on 
Lower Extremity Joint Replacement (LEJR) episodes. Both TEAM and CJR-X 
test LEJR episodes, however TEAM tests a 30-day post-discharge period 
episode length while CJR-X would test a 90-day post-discharge period 
episode length. Given the model similarities and our desire to assess 
differences in outcomes between these two episode durations, the CJR-X 
model is proposing to exclude TEAM participants from participating in 
CJR-X, as described in section X.C.2.b.(2)(i) of the preamble of this 
proposed rule. While this exclusion would prevent a TEAM participant 
from being a CJR-X participant, it does not address instances where a 
beneficiary is in a CJR-X episode and receives care at a TEAM 
participant during the CJR-X 90-day post-discharge period. Therefore, 
we propose at Sec.  512.537(b)(4) that if a beneficiary in a CJR-X 
episode has a procedure performed at a TEAM hospital that would 
initiate a TEAM episode during the CJR-X 90-day post-discharge period, 
then that procedure would not initiate a TEAM episode or be attributed 
to the TEAM participant and the spending from that procedure would be 
included in the CJR-X episode. We note that while this instance would 
result in the TEAM participant not being attributed the episode, the 
procedure and its associated spending would be included in TEAM target 
price construction, which relies on average episode spending and 
average trends across all MS-DRG/HCPCS region combinations. As noted in 
section X.C.2.(h)(2) of the preamble of this proposed rule, we 
considered TEAM precedence in this situation and dropping the CJR-X 
episode to initiate a TEAM episode to

[[Page 19658]]

support episode volume in TEAM, but we believe it is important to hold 
the hospital where the anchor hospitalization or anchor procedure took 
place accountable for spending and care coordination throughout the 
episode, especially given the investments that hospitals employ to 
manage a beneficiary's care. We believe this policy would avoid 
duplicative calculations for the same procedure in a model that is 
similar in overall design.
    We seek comment on our proposals at Sec.  [thinsp]512.537(b)(4) to 
not attribute an episode to a TEAM participant if the beneficiary is in 
a CJR-X episode and has a procedure performed at a TEAM participant 
that would initiate an episode during the CJR-X 90-day post-discharge 
period.
b. Quality Measures
(1) Background
    As discussed in the FY25 and FY26 IPPS/LTCH PPS final rule (89 FR 
68986 and 90 FR 36536), Medicare payment policy continues to move away 
from fee-for-service (FFS) payments that are not linked to quality of 
care. As previously noted in the prior rules, through the Medicare 
Modernization Act and the Affordable Care Act, we have implemented 
specific IPPS programs like the Hospital Inpatient Quality Reporting 
(IQR) Program (section 1886(b)(3)(B)(viii) of the Act), the Hospital 
Outpatient Quality Reporting (OQR) Program (section 1833(t)(17)(C) of 
the Act), the Hospital Value-Based Purchasing (VBP) Program (subsection 
(o) of section 1886), the Hospital-Acquired Condition (HAC) Reduction 
Program (subsection (q) of section 1886), and the Hospital Readmissions 
Reduction Program (subsection (p) of section 1886), where payment may 
reflect the quality of care delivered to Medicare beneficiaries or be 
impacted by the reporting of quality measures.
    TEAM quality measures focus on care coordination, patient safety, 
and patient-reported outcomes (PROs), which are areas critical to 
patients undergoing acute procedures. To streamline reporting in this 
mandatory model, we align quality measures in TEAM with those used in 
existing CMS models and reporting programs wherever feasible. TEAM 
participants will not submit separate quality data to CMS for TEAM. 
Instead, CMS will utilize data already reported through established CMS 
quality reporting programs, eliminating duplicate reporting 
requirements. TEAM's finalized set of quality measures are used to 
calculate the Composite Quality Score (CQS). The CQS will be combined 
with the TEAM participants' reconciliation amount during the 
reconciliation process to tie quality performance to payment. We 
proposed and finalized seven quality measures due to their: (1) 
alignment with the goals of TEAM; (2) hospitals' familiarity with the 
measures due to their use in other CMS hospital quality programs, 
including the Hospital IQR, OQR and HAC Reduction Programs; and (3) 
alignment to CMS priorities, including the CMS National Quality 
Strategy, which has goals that support safety, outcomes, and 
engagement. We believe these quality measures reflect these goals and 
accurately measure hospitals' level of achievement on such goals.
    The measures are--
     For all TEAM inpatient episodes in PY1-PY5: Hybrid 
Hospital-Wide All-Cause Readmission (Hybrid HWR) Measure with Claims 
and Electronic Health Record Data (CMIT ID #356), claims-only for PY1 
and full hybrid for PY2-PY5;
     For all TEAM inpatient episodes in PY1: CMS Patient Safety 
and Adverse Events Composite (CMS PSI-90) (CMIT ID #135);
     For all TEAM inpatient LEJR episodes in PY1-PY5: Hospital-
Level Total Hip and/or Total Knee Arthroplasty (THA/TKA) Patient-
Reported Outcome-Based Performance Measure (PRO-PM) (CMIT ID #1618);
     For all TEAM inpatient episodes in PY2-PY5: Hospital 
Harm--Falls with Injury (CMIT ID #1518);
     For all TEAM inpatient episodes in PY2-PY5: Hospital 
Harm--Postoperative Respiratory Failure (CMIT ID #1788);
     For all TEAM inpatient episodes in PY2-PY5: Thirty-day 
Risk--Standardized Death Rate among Surgical Inpatients with 
Complications (ISCMR) (CMIT ID #134); and
     For all TEAM outpatient LEJR and Spinal Fusion episodes in 
PY3-PY5: Information Transfer Patient Reported Outcome-Based 
Performance Measure (Information Transfer PRO-PM) (CMIT ID #1797).
    We believe the TEAM quality measure set provides CMS with 
sufficient measures to monitor quality and to calculate scoring on 
quality performance. As stated in the FY25 and FY26 IPPS/LTCH PPS final 
rules (89 FR 68986 and 90 FR 36536), we may adjust the measure set in 
future performance years via rulemaking if we determine those 
adjustments to be appropriate at the time.
(2) Proposed Measurement Performance Periods for Certain Quality 
Measures
    As stated previously, TEAM aims to, whenever possible, align with 
existing reporting requirements so as not to introduce additional 
burden to participants. In the FY25 IPPS/LTCH PPS final rule (89 FR 
68986), we finalized the Hospital Harm--Falls with Injury, Hospital 
Harm--Postoperative Respiratory Failure, and Thirty-day Risk-
Standardized Death Rate among Surgical Inpatients with Complications 
(ISCMR) and stated these measures would align with the hospital 
reporting programs. At that time, we stated our intent to align these 
measures with the performance periods used in the Hospital IQR Program. 
However, we did not propose or finalize the specific measurement 
performance periods for these measures within TEAM.
    In this proposed rule, we propose establishing measurement 
performance periods for these three quality measures. For Hospital 
Harm--Falls with Injury and Hospital Harm--Postoperative Respiratory 
Failure, we propose alignment with the Hospital IQR Program's calendar 
year reporting requirements, utilizing a one-year measurement 
performance period. For ISCMR, we propose alignment with the Hospital 
IQR Program's two-year rolling measurement performance period. Table 
X.A-02 displays the proposed measurement performance periods for these 
specific quality measures in TEAM. We believe these measurement 
performance periods are consistent with other CMS quality reporting 
programs and therefore would help minimize TEAM participant confusion.

[[Page 19659]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.205

    We seek comment on the proposed measurement performance period 
timeframes for TEAM performance years 2 through 5 for the Hospital 
Harm--Falls with Injury and Hospital Harm--Postoperative Respiratory 
Failure, and ISCMR quality measures.
(3) Proposed Changes to TEAM CQS Baseline Period Methodology
    In the FY25 IPPS/LTCH PPS final rule (89 FR 68986), we established 
fixed CQS baselines for calculating CQS performance that would remain 
constant throughout the model's duration, using calendar year (January-
December) CQS baseline periods for all quality measures. The CQS 
baselines are national distributions of quality measure scores against 
which TEAM participants are ranked. After evaluating this approach and 
considering alignment with existing CMS hospital quality reporting 
programs, we are proposing two changes to the CQS baseline methodology: 
(1) establishing a sliding historical CQS baseline methodology and (2) 
aligning CQS baseline periods with the CMS hospital reporting program 
timeframes for specific measures that are currently not aligned.We 
propose at Sec.  512.547(a)(1)-(3) replacing the current fixed CQS 
baseline approach with a sliding historical CQS baseline methodology 
for all quality measures except the CMS PSI-90 measure which applies 
only in TEAM PY1 and therefore does not require advancement of baseline 
periods beyond that performance year. The proposal to change to a 
sliding historical CQS baseline would be effective beginning with TEAM 
PY1. Under this proposed approach, CQS baselines would be calculated 
using a rolling window of historical performance data that updates 
annually, rather than remaining fixed throughout the model's tenure. 
This approach would allow CQS baselines to evolve with improvements in 
care delivery, providing a responsive quality assessment framework.
    Considering the proposed shift from fixed to sliding historical CQS 
baselines, we also propose at Sec.  512.547(a)(1)-(3) to update the 
baseline periods from a calendar year to a July to June period for the 
Hybrid HWR, CMS PSI-90, THA/TKA PRO-PM, and the ISCMR measures, 
Specifically, we propose to align the CQS baseline periods with the 
hospital program required measurement periods of July-June timeframe 
rather than the previously finalized calendar year (January-December) 
periods. This proposed alignment is consistent with the Hospital IQR 
and HAC programs requirement of July-June measurement periods. Aligning 
TEAM CQS baseline periods with these established timeframes ensures 
consistency and reduces confusion. This proposal does not affect the 
Hospital Harm--Falls with Injury and Hospital Harm--Postoperative 
Respiratory Failure or the Information Transfer PRO-PM, which will 
continue to use calendar year CQS baseline periods as originally 
finalized, consistent with their respective hospital reporting program 
requirements. These measures maintain calendar year CQS baseline 
periods because their respective hospital reporting program 
requirements utilize calendar year measurement periods, ensuring 
consistency between TEAM CQS baselines and the established reporting 
infrastructure for these specific measures. Additionally, aligning the 
CQS baseline periods with existing hospital measure timeframes ensures 
that the necessary data are available and validated according to 
established timelines. Using the same measurement periods for the 
existing hospital reporting and TEAM CQS baselines periods leverages 
this existing data infrastructure and ensures timely availability of 
baseline data for CQS calculations.
    We believe it is important to implement this alignment beginning in 
TEAM PY1 and to apply it consistently throughout the duration of the 
model. Beginning this alignment in TEAM PY1 avoids introducing a mid-
model change in CQS baseline period timeframes that could create 
confusion and complicate longitudinal performance assessment. It also 
ensures that TEAM participants' quality performance is evaluated under 
a single, transparent methodological framework for the entire duration 
of the model. In addition, because certain TEAM PY1 measures are not 
calculated on a calendar-year basis within their respective hospital 
reporting programs, it would be operationally challenging to re-specify 
and recalculate these measures solely for TEAM. Aligning TEAM CQS 
baseline periods with the Hospital IQR and HAC Reduction Program 
timeframes from the start of the model leverages validated data already 
calculated for existing programs and minimizes TEAM participant 
confusion.
    We also considered an alternative approach under which the 
transition from fixed CQS baselines to the sliding historical CQS 
baseline methodology would begin in TEAM PY2 rather than TEAM PY1. 
Under this alternative, TEAM PY1 would continue to use the fixed CQS 
baseline methodology finalized in the FY25 IPPS/LTCH PPS final rule, 
and the sliding historical CQS baseline methodology (including the July 
through June baseline period alignment described above) would begin 
with TEAM PY2 and apply for the remainder of the model. Under this 
alternative, all CQS baseline periods and methodologies finalized in 
the FY25 IPPS/LTCH PPS final rule would apply unchanged for TEAM PY1, 
and the July through June baseline alignment and sliding historical 
methodology would first apply to TEAM PY2 measurement and CQS 
calculations. We considered this alternative because beginning the 
transition in TEAM PY2 could reduce operational and participant risk 
associated with implementing a baseline methodology change at model 
launch. Specifically, this risk refers to the potential for operational 
disruptions, such as insufficient time for participants

[[Page 19660]]

to adapt systems and processes to the new methodology, as well as the 
possibility that participants may not have adequate time to understand, 
prepare for, and respond to changes in how their quality performance is 
assessed beginning in TEAM PY1. However, beginning in TEAM PY2 would 
introduce a mid-model change in baseline methodology, which could 
create participant confusion and complicate longitudinal performance 
assessment across performance years. We seek comment on whether 
beginning the transition to the sliding historical CQS baseline 
methodology in TEAM PY2, rather than TEAM PY1, would be preferable.
    We recognize that updating to the proposed CQS baseline periods 
beginning in TEAM PY1 means that different months of performance may be 
reflected in the CQS baseline compared to a calendar-year approach. For 
example, if a hospital's performance improved during the latter half of 
calendar year (CY) 2025, those improvements would be included under the 
proposed July through June CQS baseline period rather than excluded 
based solely on a calendar-year cutoff. While this proposed change in 
baseline timeframe could result in differences in PY1 CQS scoring 
compared to a CY CQS baseline, improved performance captured within the 
aligned reporting timeframe would be incorporated as the proposed 
sliding historical CQS baseline updates in subsequent performance 
years. See Table X.A-03 for the proposed CQS baseline periods.
    Under the proposed approach, the Hybrid HWR measure will use the 
same CQS baseline period (July 1, 2025 through June 30, 2026) for both 
TEAM PY2 and PY3. This is necessary because the measure transitions 
from claims-only methodology in TEAM PY1 to hybrid methodology 
beginning in TEAM PY2. To ensure valid performance assessment, each 
methodology requires its own CQS baseline period using comparable data. 
TEAM PY1 will use a claims-only CQS baseline (July 1, 2024 through June 
30, 2025), while TEAM PY2 will establish the hybrid CQS baseline (July 
1, 2025 through June 30, 2026). TEAM PY3 maintains the same CQS 
baseline period as TEAM PY2 because it serves as the initial reference 
point for the proposed sliding historical CQS baseline methodology, 
which then advances annually starting in TEAM PY4 (July 1, 2026 through 
June 30, 2027) and PY5 (July 1, 2027 through June 30, 2028). Similarly, 
under this proposed approach, the THA/TKA PRO-PM will use the same CQS 
baseline period (July 1, 2024 through June 30, 2025) for both TEAM PY1 
and PY2. This approach is necessary because July 1, 2024 through June 
30, 2025 represents the first mandatory reporting period for this 
measure in the Hospital IQR Program. Using this initial reporting 
period as the CQS baseline for both TEAM PY1 and PY2 ensures the 
baseline is established using complete, validated data. Beginning in 
TEAM PY3, the THA/TKA PRO-PM CQS baseline advances to July 1, 2025 
through June 30, 2026, which serves as the initial reference point for 
the proposed sliding historical CQS baseline methodology. The CQS 
baseline then advances annually for TEAM PY4 (July 1, 2026 through June 
30, 2027) and PY5 (July 1, 2027 through June 30, 2028), consistent with 
the proposed sliding historical CQS baseline approach.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.206

BILLING CODE 4120-01-C
    We believe that adopting sliding historical baselines for CQS 
measurement offers several advantages over the current fixed baseline 
approach. Specifically, a sliding historical CQS baseline methodology 
would enable TEAM to capture and reflect evolving trends in quality 
performance over time. As quality improvement initiatives advance, this 
baseline approach would ensure that performance benchmarks remain

[[Page 19661]]

relevant and responsive to these changes. This approach also 
acknowledges that quality performance is dynamic, requiring evolving 
baselines to reflect current care standards. Additionally, for the 
Hospital Harm--Falls with Injury and Hospital Harm--Postoperative 
Respiratory Failure, which are self-selected voluntary reporting 
measures in the Hospital IQR Program, the proposed sliding historical 
CQS baseline approach ensures that baselines remain representative of 
the current reporting population over time. Further, it would ensure 
performance expectations continue to challenge TEAM participants to 
improve, rather than meet static targets. We acknowledge that, similar 
to the concurrent CQS baseline approach discussed below, the sliding 
historical CQS baseline methodology also presents challenges in 
tracking long-term progress from the start of the model because the 
baseline updates annually. However, we believe the proposed sliding 
historical CQS baseline approach mitigates this concern by using 
historical data rather than contemporaneous data, in most instances, 
providing greater stability and predictability while still maintaining 
relevant performance benchmarks. The proposed sliding historical CQS 
baseline methodology would align with the target price baseline 
approach used in TEAM, which rolls forward annually, creating a more 
coherent performance assessment framework for participating hospitals. 
This alignment would eliminate the disconnect where cost performance is 
evaluated against recent benchmarks while quality performance is 
measured against a static historical reference point, making it easier 
for TEAM participants to understand the relationship between quality 
and cost metrics. The parallel baseline structures would enable 
hospitals to develop improvement strategies that address both quality 
and cost objectives simultaneously.
    We propose implementing the sliding historical CQS baseline 
methodology beginning with TEAM PY1. We believe beginning 
implementation of this methodology change in TEAM PY1 is appropriate 
for several reasons. TEAM PY1 CQS calculations and reconciliation will 
not occur until Fall 2027. This allows the implementation of this 
methodology before the calculations occur. Also, all TEAM participants 
were able to select Track 1 for TEAM PY1 and participants who did not 
actively select a track were assigned to Track 1 by default. Track 1 
does not involve downside financial risk during TEAM PY1. Additionally, 
the proposed changes align CQS baseline timeframes with existing 
hospital reporting program requirement timeframes, meaning hospitals 
are already collecting and validating data during these timeframes for 
reporting purposes. Additionally, implementing the proposed sliding 
historical CQS baseline approach beginning in TEAM PY1 ensures 
consistent CQS baseline methodology throughout the model's duration and 
avoids mid-model transitions that could create confusion or complicate 
performance tracking. This proposed approach, starting in TEAM PY 1, 
provides participants with clarity and predictability regarding how 
their quality performance will be assessed throughout all performance 
years. This consistency supports participants' ability to develop and 
implement long-term quality improvement strategies that align with both 
TEAM goals and existing hospital quality reporting requirements.
    We considered, but are not proposing, the implementation of a 
rolling concurrent CQS baselines for quality measures throughout all 
TEAM performance years. Under a rolling concurrent CQS baseline 
methodology, the CQS baseline for a given TEAM performance year would 
be identical to the applicable TEAM measurement period for that year. 
In other words, the national distribution of measure performance scores 
against which TEAM participants are ranked would be derived from 
contemporaneous performance-year data.
    This concurrent baseline methodology would require quality 
performance benchmarks to be recalculated annually using 
contemporaneous data. For each performance year, the national 
distribution of measure performance, including risk-adjusted scores, 
expected-value parameters, and national averages specified in the 
measure methodology, would be recalibrated based on that same 
performance year's data before CQS scoring is finalized.
    While the proposed sliding historical CQS baseline approach also 
recalculates benchmarks annually, it uses historical data, in most 
instances, rather than contemporaneous data. In this context, the 
reference to ``in most instances'' reflects that, under the proposed 
sliding historical approach, the CQS baseline for a given TEAM 
performance year would generally be based on a completed historical 
measurement period that precedes the applicable performance year, as 
reflected in Table X.A-03. For certain measures and performance years 
identified in Table X.A-03, however, the same CQS baseline period may 
apply to more than one performance year or may rely on the first 
available validated measure reporting period to ensure methodological 
consistency and the use of complete, validated data.
    A concurrent CQS baseline approach offers several advantages, such 
as capturing real-time performance, encouraging continuous quality 
improvement, and addressing concerns about outdated benchmarks. In 
addition, since concurrent CQS baselines compare quality measure scores 
to baseline scores from the same year, the measure scores and baseline 
scores are calculated using the same methodology. This methodological 
alignment is particularly relevant for TEAM quality measures that 
incorporate expected values with formulas that are recalibrated 
annually and rely on national averages of hospitals' performance in 
that year.
    However, under a concurrent CQS baseline, improvement would always 
be assessed relative to a moving CQS baseline. A concurrent CQS 
baseline, like a sliding historical CQS baseline, would introduce 
uncertainty for participants because final CQS baseline calculations, 
including risk adjustment coefficients and national averages used in 
mapping raw measure scores, would not be available in advance of the 
applicable performance year. Because the national distribution would be 
constructed from the same performance-year data, participants would not 
know the final percentile thresholds or scaling parameters until after 
the measurement period concludes and national data are finalized.
    We recognize that similar timing limitations apply under the 
sliding historical CQS baseline approach, given the lag between 
baseline construction and finalization of national performance data. We 
recognize that several limitations apply to both the concurrent and 
proposed sliding historical CQS baseline approaches. However, because 
the proposed sliding historical CQS baseline relies on completed 
historical data, in most instances, rather than contemporaneous data, 
it may provide comparatively greater stability relative to a fully 
concurrent CQS baseline approach. Although we are not proposing a 
concurrent CQS baseline methodology, we are considering this approach 
and we seek comment on its potential implementation. Additionally, we 
are considering whether such an approach, if adopted, should begin in 
TEAM PY1 or TEAM PY2, and we seek comment on those timing options. 
Beginning in TEAM PY1 would avoid a

[[Page 19662]]

mid-model change in CQS baseline methodology and would allow quality 
performance to be assessed under a single methodological framework for 
the duration of the model. Beginning in TEAM PY2 could reduce 
implementation risk at model launch by providing additional time for 
participants to operationalize the methodology and prepare for changes 
in quality performance assessment. We seek comment on whether a 
concurrent CQS baseline methodology would be preferable to the proposed 
sliding historical CQS baseline methodology and, if so, whether 
implementation should begin in TEAM PY1 or TEAM PY2. See Table X.A.04.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.207

BILLING CODE 4120-01-C
    We considered, but are not proposing at this time, an alternative 
approach that would maintain a fixed historical CQS baseline 
methodology while changing the CQS baseline periods from calendar year 
to July through June timeframes for the Hybrid HWR, CMS PSI-90, THA/TKA 
PRO-PM, and the ISCMR measures. Under this alternative fixed CQS 
baseline approach with updated timeframes, the Hybrid HWR CQS baseline 
would be established concurrently with the measurement performance 
period for TEAM PY1 and would be July 1, 2024 through June 30, 2025, 
using claims only data and would be updated once more for TEAM PY2 and 
would be July 1, 2025 through June 30, 2026, using hybrid data to 
account for the measure's transition from claims-only to hybrid 
methodology, after which it would remain fixed for TEAM PY3 through 
PY5. The CMS PSI-90 measure, which is only used in TEAM PY1, would have 
a CQS baseline period of July 1, 2023 through June 30, 2025, concurrent 
with its TEAM PY1 measurement period. The THA/TKA PRO-PM would have a 
concurrent CQS baseline and measurement period for TEAM PY1 of July 1, 
2024 through June 30, 2025, which would then remain fixed throughout 
TEAM PY2 through

[[Page 19663]]

PY5. Similarly, the ISCMR measure CQS baseline would be July 1, 2023 
through June 30, 2025 and remain fixed for TEAM PY2 through PY5. The 
Hospital Harm--Falls with Injury and Hospital Harm--Postoperative 
Respiratory Failure CQS baselines would remain calendar year 2026 
(January 1, 2026-December 31, 2026) for TEAM PY2 through PY5 and the 
Information Transfer PRO-PM CQS baseline would remain calendar year 
2027 (January 1, 2027-December 31, 2027) for TEAM PY3 through PY5.
    The fixed historical CQS baseline approach has several benefits. It 
offers stable targets that provide greater certainty for participants, 
as performance benchmarks are known in advance whenever possible. This 
approach facilitates tracking of long-term quality improvement goals 
from the start of the model and eliminates the need for annual CQS 
baseline recalculations, reducing administrative complexity compared to 
sliding historical CQS baselines. However, we determined that the fixed 
historical CQS baseline approach presents significant disadvantages. 
The fixed CQS baselines can become outdated and less reflective of 
current performance conditions over time. Fixed CQS baselines may also 
reduce incentives for continuous improvement once participants meet 
initial targets. Additionally, data anomalies, such as missing or 
incomplete data from the CQS baseline period, cannot be adjusted under 
a fixed CQS baseline approach, which could result in inequitable 
performance assessments throughout the model's duration. These 
limitations led us to propose the sliding historical CQS baseline 
methodology instead, which we believe better supports ongoing quality 
improvement and maintains relevant performance benchmarks throughout 
the model.
    We seek comment on our proposal at Sec.  512.547(a)(1)-(5) for the 
proposed changes to the CQS baseline methodology in TEAM to include the 
transition from fixed CQS baseline periods to sliding historical CQS 
baselines periods and the change from calendar year to July to June 
timeframe for the Hybrid HWR, CMS PSI-90, THA/TKA PRO-PM, and ISCMR 
measures. We also seek comment on whether beginning the transition to 
the sliding historical CQS baseline methodology in TEAM PY2, rather 
than TEAM PY1, would be preferable. We also seek comment on whether 
either a fixed historical CQS baseline methodology or a concurrent CQS 
baseline methodology, each incorporating the updated July through June 
timeframes for applicable measures as described above, would be 
preferable to the proposed sliding historical CQS baseline methodology. 
With respect to the concurrent CQS baseline methodology specifically, 
we seek comment on whether, if adopted, implementation should begin in 
TEAM PY1 or TEAM PY2.c. Pricing Methodology
(1) Background
    As finalized in the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986), 
TEAM participants will be provided with target prices for each MS-DRG/
HCPCS episode type. These target prices will be calculated using 3 
years of rolling baseline episode spending, trended forward with 2 
additional historical years to the performance year, at the level of 
MS-DRG/HCPCS episode type and region, with updates to be made using the 
performance year data during the reconciliation process. The regions 
are defined as the nine U.S. census divisions and the MS-DRG/HCPCS 
episode type is based on the episode categories that will be tested in 
the model: Coronary Artery Bypass Graft (CABG), Lower Extremity Joint 
Replacement (LEJR), Major Bowel Procedure, Surgical Hip Femur Fracture 
Treatment (SHFFT), and Spinal Fusion.
    Episode spending will be capped at the 99th percentile for each of 
the 29 MSDRG/HCPCS episode types and 9 regions, and the benchmark price 
will be calculated as the average capped and standardized spending in 
the most recent baseline year dollars for each MS-DRG/HCPCS episode 
type in each region, resulting in 261 benchmark prices. Benchmark 
prices will be calculated using all hospitals in a region, regardless 
of TEAM participation status. CMS will apply a prospective trend factor 
and a discount factor to benchmark prices. During reconciliation, these 
preliminary target prices will be modified by updating the trend 
(subject to a cap) and normalization factor (subject to a cap) and by 
adjusting for each participant's realized performance year case mix.
    Risk adjustment factors will be calculated and made available to 
TEAM participants prior to the start of each performance year, so TEAM 
participants will be able to use them to estimate their episode-level 
target prices. Risk adjusters finalized in the FY 2025 IPPS/LTCH PPS 
final rule and FY 2026 IPPS/LTCH PPS final rule include age group, 
Hierarchical Condition Category (HCC) count, and beneficiary economic 
risk, as well as episode category-specific HCC adjusters and hospital-
level adjusters including a hospital bed size factor and a safety net 
hospital factor. The risk adjustment factors will be calculated at the 
MS-DRG/HCPCS level using a weighted linear regression where episodes 
are weighted differentially based on whether they belong to year 1, 2, 
or 3 of the baseline periods. As finalized in the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 68986), episodes from baseline year 1 will be 
weighted at 17 percent, baseline year 2 at 33 percent, and baseline 
year 3 at 50 percent. The risk adjustment factors will be fixed and 
applied to performance year episodes at reconciliation based on the 
realized case mix of the TEAM Participant in the performance year.
    After risk adjusting for the performance year case-mix, CMS will 
normalize the target prices to ensure that the average of the total 
risk-adjusted preliminary target price does not exceed the average of 
the total non-risk adjusted preliminary target price. The final 
normalization factor will be calculated as the mean of the benchmark 
price for each MS-DRG/HCPCS episode type and region divided by the mean 
of the risk-adjusted benchmark price for the same MS-DRG/HCPCS episode 
type and region. As finalized in the FY 2025 IPPS/LTCH PPS final rule 
(89 FR 68986) it will be capped should this ratio exceed 5 
percent of the prospective normalization factor. The final target 
prices will include a retrospective trend factor, which will be capped 
at being within 3 percent of the prospective trend, as finalized in the 
FY 2025 IPPS/LTCH PPS final rule (89 FR 68986). The retrospective trend 
factor will be calculated as the average capped performance year 
episode spending at the MS-DRG/HCPCS episode type and region level 
divided by the capped average baseline episode spending in the most 
recent baseline year dollars at the MS-DRG/HCPCS episode type and 
region level (that is, national mean benchmark price).
    The reconciliation (final) target price will be calculated as the 
product of the capped mean baseline episode spending in the most recent 
baseline year dollars, the discount factor, the risk adjustment 
multiplier using the performance year case-mix, the capped final 
normalization factor, and the capped retrospective trend factor.
    TEAM participants will have the opportunity to achieve a 
reconciliation payment amount, after accounting for quality 
performance, if their performance year spending is below the 
reconciliation target price, or they may owe a repayment amount if 
their spending is above the reconciliation target price.

[[Page 19664]]

(2) Ambulatory Payment Classification (APC) and Medicare Severity 
Diagnosis Related Groups (MS-DRG) Update Factors
(a) Background
    TEAM relies on the Medicare Severity Diagnosis Related Group (MS-
DRG) and Healthcare Common Procedure Coding System (HCPCS) codes to 
identify procedures to initiate an anchor hospitalization or anchor 
procedure. MS-DRG and HCPCS codes, and more specifically the assignment 
of HCPCS codes to Ambulatory Payment Classifications (APCs), may be 
modified because of changes in treatment patterns, technology, and any 
other factors that may change the relative use of hospital and provider 
resources. Typically, CMS proposes and finalizes coding changes, as 
applicable, through established annual payment rules. MS-DRG changes 
are generally aligned with the fiscal year (FY) in the IPPS/LTCH 
proposed and final rules, while HCPCS and APC changes generally align 
with the calendar year (CY) in the Outpatient Prospective Payment 
System (OPPS)/Ambulatory Surgical Center (ASC) proposed and final 
rules.
    Because TEAM uses 3 years of rolling baseline episode spending, 
with 2 additional historical trend years, to construct target prices 
for a given performance year, changes in the MS-DRG or HCPCS-APC 
mappings and weights after the baseline period and either prior to or 
during the performance year may result in target prices that do not 
appropriately reflect episode spending in the performance year. 
Additionally, any new code established prior to or during the 
performance year that did not exist in the baseline period would not 
have a target price. In the FY 2026 IPPS/LTCH PPS final rule (90 FR 
36536), we finalized the definition of a scaling factor at Sec.  
[thinsp]512.505 and methodology at Sec.  [thinsp]512.540(a)(2)(i) 
through (iii) to account for changes to MS-DRGs and HCPCS between the 
baseline period and the performance year using a three-step mapping and 
scaling approach. The scaling factor, calculated as the ratio of MS-DRG 
or APC weight in the performance year to that in the baseline year, 
accounts for relative weight changes for MS-DRGs in the inpatient 
setting and APCs for HCPCS in the outpatient setting. However, this 
approach does not address changes that may arise after preliminary 
target prices are released to TEAM participants.
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986), we 
established that preliminary target prices would be constructed only 
once per performance year and shared with TEAM participants prior to 
each performance year, which covers a calendar year timeframe. 
Therefore, due to the availability of data and timing of when target 
prices are released to TEAM participants, target prices are constructed 
using the previous calendar year HCPCS-APC mappings and weights (that 
is, the year prior to the performance year) and only the first three 
quarters of the current fiscal year's MS-DRG definitions and weights. 
TEAM target prices do not account for any MS-DRG definition or weight 
changes that are implemented in the last quarter of the performance 
year because fiscal years span October 1 to September 30. For example, 
performance year 1 (January 1, 2026-December 31, 2026) preliminary 
target prices are constructed using calendar year 2025 (January 1, 
2025-December 31, 2025) HCPCS-APC mappings and weights and fiscal year 
2026 (October 1, 2025-September 30, 2026) MS-DRG definitions and 
weights. HCPCS-APC mappings and weight changes in the CY OPPS/ASC and 
MS-DRG definition or weight changes in the FY IPPS/LTCH final rules 
would alter observed and scaled spending in the baseline period. 
Further, MS-DRG definition or weight changes may shift which code would 
initiate an anchor hospitalization and subsequently change the 
composition of inpatient episodes. As a result, benchmark and target 
prices would not reflect changes between calendar years (for instance, 
if HCPCS codes are reassigned to different APC weights during a 
performance year) or between fiscal years (for instance, MS-DRG 
definition changes between the first and second fiscal years of a 
performance year). At reconciliation, these changes may not be 
sufficiently accounted for by the retrospective trend factor which is 
capped at 3 percent. Additionally, there may not be 
benchmark prices or other target price components available for 
episodes with anchor hospitalization end dates in the second fiscal 
year. To avoid these inconsistencies we propose application of the 
following APC and MS-DRG update factors in final target price 
calculations beginning in performance year 1, to ensure the final 
target price and reconciliation amounts align with payment rates and 
weights that are applied during each performance year.
(b) APC Update Factor
    We propose to update the Definitions at Sec.  512.505 and the 
pricing methodology at Sec.  [thinsp]512.540(b)(7) to add an APC update 
factor to the calculation of the prospective trend factor and at Sec.  
[thinsp]512.545(f)(1) to the retrospective trend factor. We propose to 
define the APC update factor at Sec.  [thinsp]512.505 as the component 
applied to the prospective trend factor to ensure that the APC weights 
corresponding to the performance year are incorporated into the final 
target price calculations. The APC update factor, as set forth in 
512.540(b)(7), would be calculated at the MS-DRG/HCPCS episode type and 
region level as the ratio of the benchmark prices calculated with APC 
weights corresponding to the calendar year of the performance year (CY 
2026 for performance year 1) to the preliminary benchmark prices 
calculated with the APC weights corresponding to the calendar year 
prior to the performance year (CY 2025 for performance year 1). The APC 
update factor would be calculated after the CY OPPS/ASC final rule is 
published each year and would be shared with TEAM participants to 
ensure that all information that is used to calculate final target 
prices is available. The APC update factor would be applied as a 
multiplier to the prospective trend factor, creating an updated 
prospective trend factor, which will be applied during final target 
price calculations. Specifically, we propose to update Sec.  
512.545(f)(1) such that the retrospective trend factor is capped 
relative to the updated prospective trend factor to ensure that final 
target prices are aligned with performance year payment rates and 
weights.
    We believe this would be a straightforward approach to account for 
calendar year changes in APC weights by directly applying the 
corresponding changes to the prospective trend factor, without creating 
and distributing multiple preliminary target prices. For example, TEAM 
participants would only need to multiply the APC update factor to the 
prospective trend factor as compared to receiving a new preliminary 
target price with other updated pricing components. We note that if the 
APC relative weights decrease between calendar years, the application 
of the APC update factor may result in a decrease in benchmark prices. 
Additionally, risk adjustment coefficients are not updated and may not 
reflect changes between calendar years. Internal analysis assessed the 
impact of using outdated APC weights on TEAM benchmark prices, 
comparing the average scaled and winsorized spending in the most recent 
baseline year at the MS-DRG/HCPCS episode type and region level using 
CY 2025 and CY 2026 APC weights. Findings from this internal analysis 
indicate that episodes with APC assignment changes

[[Page 19665]]

between calendar years 2025 and 2026 had significant percent 
differences in APC weights between years (49 percent). Additionally, 
the percent differences in average scaled and winsorized spending for 
TEAM initiating episodes with changed APC assignments between calendar 
years 2025 and 2026 were large, ranging from 33 percent to 40 percent, 
and the percent difference between baseline benchmark prices ranged 
from 2 percent to 8 percent.
    Though we anticipate only minor adjustments to APC weights during 
the calendar year, internal analyses indicate that benchmark prices and 
therefore the final target price calculations at reconciliation would 
not account for code reassignments that significantly change relative 
APC weights. We considered but will not propose applying the APC update 
factor beginning in performance year 2. As detailed below, APC update 
factors would be shared in advance of final target price calculations 
and would improve target price accuracy, aligning reconciliation 
amounts with payment rates and weights applied during the performance 
year. Given this, we propose adjusting the prospective trend factor 
methodology at Sec.  [thinsp]512.540(b)(7) and the retrospective trend 
factor methodology at Sec.  512.545(f)(1) to account for changes in 
relative APC weights between calendar years in the TEAM performance 
year.
(c) MS-DRG Update Factor
    To account for changes in MS-DRG mapping and weights between the 
first and second fiscal years in a TEAM performance year, we propose 
updates to the Definitions at Sec.  512.505 and the pricing methodology 
at Sec.  [thinsp]512.540, Sec.  [thinsp]512.545, and Sec.  
[thinsp]512.550 to adjust the target price and reconciliation amount 
accordingly. Specifically, we propose updating methodology at Sec.  
[thinsp]512.540(b)(7) to add a MS-DRG update factor to the calculation 
of the prospective trend factor for episodes with anchor end dates in 
the fourth quarter of the performance year. We propose to define the 
MS-DRG update factor at Sec.  512.505 as the component applied to the 
prospective trend factor for episodes with anchor hospitalization or 
anchor procedure end dates in the fourth quarter of the performance 
year to account for changes in MS-DRG definitions and weights between 
the first and second fiscal years in the performance year. The MS-DRG 
update factor would be calculated at the MS-DRG/HCPCS episode type and 
region level as the ratio of benchmark prices calculated with the 
second fiscal year inputs (FY 27 MS-DRG definitions and weights for 
performance year 1) to preliminary benchmark prices calculated with the 
first fiscal year inputs (FY 26 MS-DRG definitions and weights for 
performance year 1). The MS-DRG update factor would be calculated after 
the FY IPPS/LTCH final rule is published each year and would be shared 
with TEAM participants as a multiplier to the prospective trend factor 
to ensure that all information that is used to calculate final target 
prices is available.
    When TEAM initiating MS-DRGs change between the first and second 
fiscal years in a performance year, the reconciliation target price for 
episodes with anchor end dates in the fourth quarter of the performance 
year will be calculated using MS-DRG mappings and weights from both 
fiscal years. As proposed at Sec.  512.550(c), initiating MS-DRGs with 
anchor end dates in the second fiscal year of a performance year would 
be mapped and assigned a first fiscal year MS-DRG. We propose updating 
methodology at Sec.  512.545 to specify the fiscal year MS-DRG(s) of 
each reconciliation target price component for episodes with anchor end 
dates in the fourth quarter of the performance year. Components derived 
from baseline data, such as the benchmark price and the risk adjustment 
coefficients, would be calculated using MS-DRG mappings and weights 
from the assigned first fiscal year in a performance year (as described 
in Sec.  512.545(a) through (d)). The final normalization factor, 
described at Sec.  512.545(e) would be calculated specific to the 
assigned first and second fiscal year MS-DRG and region combination, 
and cannot exceed 5 percent of the prospective 
normalization factor, as specified at 512.540(b)(6), for the assigned 
first FY MS-DRG. For instance, if two TEAM initiating MS-DRGs are 
mapped to one MS-DRG in the second fiscal year, the normalization 
factor will be calculated using the benchmark price and risk adjustment 
coefficients of the assigned first fiscal year MS-DRG applied to the 
realized case mix of the second fiscal year MS-DRG. The retrospective 
trend factor described at Sec.  512.545(f) would be calculated with 
performance year spending specific to the second fiscal year MS-DRG 
mapping combination, and cannot exceed 3 percent of the 
updated prospective trend factor. The updated prospective trend factor 
would be the product of the prospective trend factor and the 
corresponding APC update factor and MS-DRG update factor. We propose at 
Sec.  512.505 to define the updated prospective trend factor as the 
multiplier incorporated into the preliminary target price to estimate 
changes in spending patterns between the baseline period and the 
corresponding calendar year and fiscal year in the performance year. 
See Table X.A-05 for summary of target price components and applicable 
fiscal year MS-DRGs.
[GRAPHIC] [TIFF OMITTED] TP14AP26.208

    Further, for performance years in which diagnosis or procedure 
codes are mapped to different TEAM initiating MS-DRGs between the first 
and second fiscal years, we propose updating methodology at Sec.  
512.550(c) to add a step to assign a first fiscal year MS-DRG to 
episodes with anchor end dates in the fourth quarter. Based on logic 
described

[[Page 19666]]

in the IPPS/LTCH final rules, CMS would identify and map diagnosis and 
procedure codes from TEAM initiating MS-DRGs in the second fiscal year 
MS-DRGs to the first fiscal year MS-DRGs. Episodes with anchor end 
dates in the fourth quarter of the performance year based on the second 
fiscal year MS-DRG would continue to initiate, and the reconciliation 
target price assigned to the episode would be specific to the assigned 
first and second fiscal year MS-DRG mapping combination for each 
hospital. CMS would sum the values for each second FY MS-DRG/HCPCS 
episode type and, ultimately, across all MS-DRG/HCPCS episode types to 
determine the reconciliation amount.
    As previously noted, some MS-DRG definition changes may result in 
preliminary benchmark prices and target price components not being 
available. See Table X.A-06 for a summary of the possible MS-DRG 
mapping scenarios between the first and second fiscal year of a TEAM 
performance year. For example, a non-TEAM MS-DRG, meaning a MS-DRG that 
does not initiate a TEAM anchor hospitalization, in the first fiscal 
year is mapped to a TEAM MS-DRG, meaning a MS-DRG that initiates a TEAM 
anchor hospitalization, in the second fiscal year of a performance year 
(scenario 4). In this situation, we would not be able to produce a 
final target price for the episode, as preliminary benchmark prices and 
target price components would not be available for the non-TEAM MS-DRG 
based on the first fiscal year inputs. Therefore, we propose that TEAM 
participants would not be accountable for episodes with anchor end 
dates in the fourth quarter of the performance year that are initiated 
by anchor hospitalizations that would have been assigned a non-TEAM MS-
DRGs in the first three quarters of the performance year.
[GRAPHIC] [TIFF OMITTED] TP14AP26.209

    We believe adding the MS-DRG update factor to the calculation of 
prospective trend factors for episodes with anchor end dates in the 
fourth quarter of the performance year is an effective way to account 
for fiscal year changes in MS-DRG definitions and weights without 
reissuing preliminary target prices and reduces TEAM participant burden 
by not having to manage multiple preliminary target prices within a 
given performance year. We acknowledge that, depending on the magnitude 
of changes between the fiscal years in the performance year, some 
target prices may lack precision or may not be available. Specifically, 
the risk adjustment coefficients are not updated and will be more 
reflective of the first fiscal year case mix. Internal analysis used 
fiscal years 2024 and 2025 inputs to assess the impact of MS-DRG 
mapping and weight changes between fiscal years on TEAM benchmark 
prices. This assessment demonstrated that conducting reconciliation 
calculations using target prices solely based on FY 2024 inputs, 
without accounting for FY 2025 MS-DRG mappings and weight changes, may 
penalize participants. Specifically, five spinal fusion MS-DRGs were 
deleted in FY 2024 and mapped to 10 new spinal fusion MS-DRGs in FY 
2025. As a result, 72 percent of final TEAM spinal fusion episodes were 
without available FY 2024 benchmark prices, and differences in scaled 
inpatient stay costs ranged from -56 percent to 71 percent.
    As previously noted, the APC and MS-DRG update factors would be 
calculated after the CY OPPS/ASC and the FY IPPS/LTCH final rules are 
published and would be shared with TEAM participants to ensure that all 
information that is used to calculate final target prices is available. 
Table X.A-07 provides an example operational timeline of APC and MS-DRG 
update factor availability. We note that the operational timeline is 
subject to change contingent on finalization and publication of the CY 
OPPS/ASC and FY IPPS/LTCH rules.
[GRAPHIC] [TIFF OMITTED] TP14AP26.210

    We considered but are not proposing to update and deliver 
preliminary target prices to TEAM participants for each calendar and 
fiscal year final rule. We believe managing three different preliminary 
target prices in a given

[[Page 19667]]

performance year will increase participant burden and pricing 
methodology complexity. We also considered, but are not proposing, to 
backwards map and descale spending for episodes with anchor end dates 
in the fourth quarter of the performance year. A descaling factor, the 
ratio of MS-DRG relative weight in the first fiscal year to the MS-DRG 
relative weight in the second fiscal year, would be applied to episode 
spending. The descaled episode costs would be applied to the numerator 
of the retrospective trend factor as well as directly to the final 
target price through a factor, which would be calculated as the 
difference between the average episode cost and the average descaled 
episode cost, divided by the preliminary target price plus one. 
Episodes with anchor end dates in the fourth quarter of the performance 
year would be triggered based on the mapped first fiscal year MS-DRG 
and reconciled using original episode costs before descaling. Although 
this approach could improve target price accuracy, we believe it would 
introduce additional complexity, increasing the risk of confusion and 
challenges in implementation. We considered but will not propose 
applying the update factors beginning in performance year 2. We believe 
this would negatively impact participants in performance year 1, 
resulting in misalignment between target prices, reconciliation 
amounts, and payment rates and weights applied during the performance 
year. However, we seek comment on this alternative considered. Lastly, 
we also considered but are not proposing removing the 3 
percent capping of the retrospective trend factor adjustment. Applying 
a full retrospective trend factor to reconciliation target prices, 
rather than capping at 3 percent would account for actual 
performance year spending and would incorporate APC or MS-DRG mapping 
and weight changes not captured in preliminary target prices. However, 
we recognize that removing the 3 percent cap may introduce 
target price instability making it more difficult for TEAM participants 
to predict reconciliation target prices and assess spending performance 
in the model.
    We seek comment on our proposal at Sec.  512.505 to add definitions 
of the APC update factor, MS-DRG update factor, and updated prospective 
trend factor. We also seek comment on our proposal at Sec.  
512.540(b)(7) to add APC and MS-DRG update factors in the calculation 
of the prospective trend factor to account for changes in HCPCS-APC and 
MS-DRG mappings and weights during a TEAM performance year. We also 
seek comment on our proposals for performance years in which diagnosis 
or procedure codes are mapped to different TEAM triggering MS-DRGs 
between the first and second fiscal years. At Sec.  512.545 to specify 
the FY MS-DRG(s) that each reconciliation target price component 
reflects for episodes with anchor end dates in the fourth quarter of 
the performance year. At Sec.  512.550(c) to add a step to assign a 
first fiscal year MS-DRG to performance year episodes with anchor end 
dates in the fourth quarter and modify the calculations to the assigned 
first and second fiscal year MS-DRG/HCPCS episode type.
(3) Prospective Normalization Factor Construction
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) that 
established TEAM, a normalization factor was included in the 
calculation of preliminary and reconciliation target prices to ensure 
that the average benchmark price after risk adjustment does not exceed 
the average benchmark price prior to risk adjustment. The FY26 IPPS/
LTCH PPS final rule (90 FR 36536) revised the language at Sec.  512.505 
to clarify that the prospective normalization factor will be calculated 
using the benchmark prices rather than using preliminary target prices. 
Additionally, the FY26 IPPS/LTCH PPS final rule modified Sec. Sec.  
512.540(b)(6) and 512.545(e)(1)(i) to calculate the prospective and 
final normalization factors at the MS-DRG/HCPCS episode type and region 
level rather than at national level.
    For each MS-DRG/HCPCS episode type and region combination, the 
normalization factor is calculated as the average benchmark price 
divided by the average risk-adjusted benchmark price. The risk-adjusted 
benchmark price is the product of the benchmark price and a risk 
adjustment multiplier, which accounts for variation in spending due to 
hospital and beneficiary characteristics. The risk adjustment 
multiplier, as defined in current policy at Sec.  
[thinsp]512.540(b)(6)(i), is calculated by applying risk adjustment 
coefficients to the most recent baseline year episodes. Since the 
baseline period, as defined in Sec.  512.505 and further addressed in 
Sec.  512.540(b)(2), is a rolling three-year period, the most recent 
baseline year for a given performance year would always be baseline 
year 3. The construction of the normalization factor relying on the 
most recent baseline year was designed to maintain simplicity while 
using the most recent data available. However, we have concerns that 
only using the most recent baseline year may not accurately reflect all 
the episodes used to calculate the benchmark price. Nor does using only 
the most recent baseline year consistently recenter the risk adjusted 
benchmark prices back to the average of the total non-risk adjusted 
benchmark price.
    To improve predictive accuracy, better represent all episodes used 
in benchmark price construction, and recenter the risk adjusted 
benchmark price to the average of the total non-risk adjusted benchmark 
price, we propose that starting with performance year 2 to update the 
definition at Sec.  [thinsp]512.540(b)(6) to calculate the prospective 
normalization factor at the MS-DRG/HCPCS episode type and region level 
based on the applicable episodes in the baseline period. We propose to 
update Sec.  [thinsp]512.540(b)(6)(i) to apply the risk adjustment 
coefficients to all applicable baseline year episodes, rather than 
restricting application to the most recent baseline year episodes, in 
the calculation of the risk adjustment multiplier. This should improve 
the accuracy of the multiplier and help to smooth short-term 
fluctuations, if any, in the most recent baseline year. An internal 
analysis compared the observed and expected average hospital-level 
spending for each MS-DRG/HCPCS episode type and region using clinical 
episodes with start dates on or after January 1, 2022, and anchor end 
dates on or before December 31, 2024. Findings demonstrated that the 
multipliers and normalization factors constructed with all the baseline 
episodes improved predictive accuracy compared to those constructed 
using only the most recent baseline year episodes. We note the 
difference between the MS-DRG/HCPCS episode type and region-level 
normalization factors calculated using only the most recent baseline 
year episodes and the normalization factors calculated using all 
baseline year episodes ranged from -0.03 to 0.02 (-3.46 percent to 2.56 
percent). While this difference was small, we believe using all 
baseline episodes to construct the normalization factor is a more sound 
mathematical approach and will recenter average expected spending 
around average observed spending.
    We considered but are not proposing to calculate the normalization 
factor using an additional two years of data prior to the baseline 
period, similar to the trend factor construction. However, this would 
not recenter the risk adjusted benchmark prices and would not improve 
predictive accuracy.
    We seek comment on our proposal at Sec.  [thinsp]512.540(b)(6) and 
(b)(6)(i) to calculate the risk adjustment multiplier and

[[Page 19668]]

normalization factor using the baseline period clinical episodes 
starting with performance year 2.
d. Ambulatory Surgical Center (ASC) Episode Request for Information
    CMS is exploring Ambulatory Surgical Center (ASC) participation in 
the Transforming Episode Accountability Model (TEAM), beginning as 
early as CY2028 (that is, Performance Year 3). We acknowledge 
previously soliciting public comment on inclusion of ASCs in Lower 
Extremity Joint Replacement (LEJR) focused models (85 FR 10537) in the 
Comprehensive Care for Joint Replacement Model Three-Year Extension and 
Changes to Episode Definition and Pricing proposed rule. Certain 
orthopedic procedures, such as total knee arthroplasty (TKA), were 
covered by Medicare in the ASC setting beginning January 1, 2020 (84 FR 
61253). However, given its recent addition to the ASC covered procedure 
list, there was not a significant volume of TKA procedures performed in 
the ASC setting at the time and the CJR model did not add procedures in 
ASC settings to its episodes. We recognize that since that RFI the 
health care landscape has changed and more procedures, including 
certain procedures that initiate episodes in TEAM, are being performed 
more regularly in the ASC setting. Therefore, we recognize the 
importance of soliciting additional public feedback on inclusion of ASC 
episodes in TEAM.
    Beyond systemic differences in payment policy and beneficiary 
populations, ASCs do not have the same relationship to hospitals as 
inpatient (IP) and outpatient (OP) hospital departments. Thus, 
procedures in ASCs would need to be incorporated into TEAM differently 
than procedures performed in the OP setting. We also recognize that 
testing TEAM in the ASC setting will likely impact the evaluation of 
TEAM by changing the health care landscape within which hospital 
participation in TEAM is evaluated. These impacts may occur in various 
ways including possible changes in the patient mix and volume in 
various settings for covered procedures. This request for information 
(RFI) seeks public input on model structure, participant roles and 
financial accountability, episode and target price construction, and 
quality measurement. Through this RFI, we intend to gather public input 
on the parameters under which ASCs could be incorporated into TEAM, 
including the degree to which the addition of ASCs would necessitate a 
separate model test. Any future incorporation of ASCs in TEAM, whether 
as an additional participant population under the current model test or 
as a distinct model test with the TEAM episode structure applied, would 
be pursued through notice-and-comment rulemaking under the authority of 
section 1115A of the Act. Feedback on this RFI will inform potential 
future rulemaking to incorporate ASCs in TEAM in a manner that promotes 
both efficient and high-quality care, safeguards appropriate patient 
selection, and aligns incentives across care settings.
     Participation and Financial Accountability.
    ++ What operational challenges would ASCs face participating in an 
episode-based payment model such as TEAM? Are there any unique 
challenges to treating patients in an ASC compared to IP/OP hospital 
settings? How might these challenges impact model participation?
    ++ What steps could CMS take to support ASC readiness to 
participate in episode-based payment models such as TEAM?
    ++ What programmatic waivers may be necessary to ensure ASCs have 
successful participation in TEAM?
    ++ What entity should be held financially accountable for episodes 
initiated at ASCs?
    ++ How should CMS account for financial and ownership relationships 
between hospitals and ASCs or both?
    ++ What barriers are there to partnerships between hospitals and 
ASCs that are not owned by hospitals?
    ++ What opportunities, if any, exist for ASCs to achieve efficiency 
gains under TEAM? What model features could support or enhance these 
opportunities?
     Episode Construction.
    ++ What additional surgical episode types should CMS consider if 
TEAM is modified to include the ASC setting?
     Risk Adjustment and Target Pricing.
    ++ If CMS incorporates ASCs into multi-setting episode types, how 
can CMS adapt the beneficiary-level risk adjustment methodology to 
ensure appropriate site-of-service decisions?
    ++ Could including ASCs in TEAM create barriers to care for any 
Medicare beneficiaries? What could CMS do to mitigate this?
     Model Overlap.
    ++ How should CMS handle TEAM ASC episode overlap with other value-
based care initiatives or payment models focused on the same procedures 
at either ASCs or hospitals?
     Quality Measures.
    ++ What quality measures would reasonably capture performance and 
outcomes of TEAM ASC episodes?
    ++ On what quality metrics can ASCs and hospital outpatient 
departments be fairly compared?
    ++ What opportunities, if any, exist for quality improvement at 
ASCs for procedures included in (or suggested for inclusion in) TEAM?
e. Hospital with Physician Ownership Request for Information
    A hospital with physician ownership (POH) is any hospital in which 
a physician, or an immediate family member of a physician, has an 
ownership or investment interest in the hospital. Ownership or 
investment interest may be through equity, debt, or other means, and 
includes an interest in an entity that holds an ownership or investment 
interest in the hospital.\451\ It is estimated that more than 250 acute 
care hospitals are owned, in part or fully, by physicians.\452\
---------------------------------------------------------------------------

    \451\ 42 CFR 411.351 and 411.254(b).
    \452\ Blumenthal et al. Access, quality, and costs of care at 
physician owned hospitals in the United States: observational study. 
BMJ 2015; 351. https://www.bmj.com/content/351/bmj.h4466.
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    Section 1877 of the Social Security Act (the Act) (42 U.S.C. 
1395nn), also known as the physician self-referral law (and commonly 
referred to as the ``Stark'' law):
     Prohibits a physician from making referrals for certain 
designated health services payable by Medicare to an entity with which 
he or she (or an immediate family member) has a financial relationship, 
unless the requirements of an applicable exception are satisfied; and
     Prohibits the entity from filing claims with Medicare (or 
billing another individual, entity, or third-party payor) for any 
improperly referred designated health services.
    A financial relationship may be an ownership or investment interest 
in the entity or a compensation arrangement with the entity. The 
statute establishes a number of specific exceptions and grants the 
Secretary of the Department of Health and Human Services (HHS) the 
authority to create regulatory exceptions for financial relationships 
that do not pose a risk of program or patient abuse.
    Section 1877(d) of the Act sets forth exceptions related to 
ownership or investment interests held by a physician (or an immediate 
family member of a physician) in an entity that furnishes designated 
health services. Section 1877(d)(2) of the Act provides an exception 
for ownership or investment interests in rural providers (the ``rural 
provider exception''). To use the rural provider exception, an entity 
must furnish substantially all of the

[[Page 19669]]

designated health services that it furnishes to residents of a rural 
area (as defined in section 1886(d)(2) of the Act). To satisfy the 
requirements of the rural provider exception, the designated health 
services must be furnished in a rural area and, in the case where the 
entity is a hospital, the hospital must meet the requirements of 
section 1877(i)(1) of the Act no later than September 23, 2011. Section 
1877(d)(3) of the Act provides an exception for ownership or investment 
interests in a hospital located outside of Puerto Rico (the ``whole 
hospital exception''). To satisfy the requirements of the whole 
hospital exception, the referring physician must be authorized to 
perform services at the hospital, the ownership or investment interest 
must be in the hospital itself (and not merely in a subdivision of the 
hospital), and the hospital must meet the requirements of section 
1877(i)(1) of the Act no later than September 23, 2011. These 
exceptions are codified in our regulations at Sec.  411.356(c)(1) and 
(3), respectively.
    Section 6001(a) of the Affordable Care Act effectively eliminated 
the exceptions for physician ownership or investment in hospitals, 
although hospitals with physician ownership or investment and a 
Medicare provider agreement on December 31, 2010, are grandfathered and 
able to continue using the rural provider exception, if applicable, and 
the whole hospital exception.
    Section 6001(a)(3) of the Affordable Care Act amended the rural 
provider exception and the whole hospital exception to provide that a 
hospital with physician ownership or investment may not increase the 
number of operating rooms, procedure rooms, and beds beyond that for 
which the hospital was licensed on March 23, 2010 (or, in the case of a 
hospital that did not have a Medicare provider agreement in effect as 
of this date, but did have a provider agreement in effect on December 
31, 2010, the effective date of such provider agreement). However, the 
Secretary may grant an exception from the prohibition on facility 
expansion.
    To avoid the underlying concerns of the physician self-referral 
law, including but not limited to overutilization, patient steering, 
cherry-picking, and lemon-dropping, current law limits expansion of 
POHs. However, there is some evidence that suggests that POHs may help 
control costs, maintain or improve patient outcomes, and prevent 
hospital consolidation.453 454 455 456 The CMS Innovation 
Center is considering initiating a voluntary opt-in period to allow 
POHs located in core-based statistical areas (CBSAs) not selected for 
Transforming Episode Accountability Model (TEAM) inclusion to 
participate in the Model. TEAM aims to improve patient experience, 
incentivize hospitals to implement care redesign, and promote 
collaboration with Accountable Care Organizations and primary care 
providers for certain surgical procedures. TEAM has approximately 15 
POHs mandated to participate in the model and does not include any POH-
specific waivers.
---------------------------------------------------------------------------

    \453\ Ahn, J., Blumenthal, S., & Derman, P. B. (2019). 
Physician-owned hospitals in orthopedic and spine surgery. Annals of 
translational medicine, 7(Suppl 5), S162. https://doi.org/10.21037/atm.2019.06.49.
    \454\ Courtney, P. M., Darrith, B., Bohl, D. D., Frisch, N. B., 
& Della Valle, C. J. (2017). Reconsidering the Affordable Care Act's 
restrictions on Physician-Owned hospitals. Journal of Bone and Joint 
Surgery, 99(22), 1888-1894. https://doi.org/10.2106/jbjs.17.00203.
    \455\ Wilensky, G., & Miller, B. (2020). Time to consider a new 
look at Physician-Owned hospitals to increase competition in health 
care? JAMA, 323(19), 1884. https://doi.org/10.1001/jama.2020.6106.
    \456\ Reversing hospital consolidation: The promise of 
Physician-Owned Hospitals. (2021). [Dataset]. In Forefront Group. 
https://doi.org/10.1377/forefront.20210408.980640.
---------------------------------------------------------------------------

    Designed as a mandatory model, voluntary participation in TEAM has 
cost and evaluation implications on the model. We noted concerns with 
voluntary participation in TEAM when the model was initially proposed 
(89 FR 36390) and believe that guardrails must be in place if voluntary 
participation were permitted in the model. This is because self-
selection of voluntary participants may result in net costs to Medicare 
or reduce anticipated savings. Further, the voluntary participation of 
POHs in the TEAM model risks the integrity of the evaluation design and 
may lead to biased findings undermining the model test. While certain 
hospitals were permitted to voluntarily opt into TEAM (42 CFR 512.510), 
they could only be located in strata 17 or 18 (42 CFR 512.515), and we 
did inhibit their ability to voluntarily exit the model and required 
participation in all episode categories to curtail self-selection and 
participation attrition concerns. We anticipate that any potential 
future voluntary participation opportunities would include similar 
parameters to ensure model integrity and minimize losses to Medicare.
    We request feedback on the following questions:
     Should CMS allow a voluntary opt-in period to include POHs 
in TEAM; why or why not? Should the option to participate in TEAM be 
limited to those POHs that are grandfathered under the Affordable Care 
Act to use the rural provider or whole hospital exception to the 
physician self-referral law?
     Should POHs that wish to voluntarily opt into TEAM be 
required to meet the geographic eligibility criteria described 
previously and in 42 CFR 512.515 and be subject to participation 
requirements described in 42 CFR 512.510? What inclusion criteria, if 
any, should be added for POHs opting to participate in TEAM?
     What programmatic waivers may be necessary to ensure POHs 
have successful participation in TEAM (for example, restrictions on 
expansion of facility capacity, service limitations, etc.)? Provide 
justification for any waiver that you believe may be necessary. Please 
explain how the waiver will not undermine the TEAM model by allowing 
Medicare payment for services furnished by POHs where such payments are 
not currently allowed because the POHs are not grandfathered in to use 
the rural provider or whole hospital exception to the physician self-
referral law.
     Waivers of law, if provided and necessary to test a model, 
are temporary and generally end when the model expires or the 
participant's agreement is terminated. How will POHs continue any 
successful actions taken under TEAM once they must comply with all 
applicable statutes and regulations, including the physician self-
referral law?
     How can CMS ensure that, upon the termination of TEAM and 
any associated waivers specific to POHs, if granted, that POHs remain 
compliant with existing mandates? For example, if TEAM waives Section 
6001(a)(3) of the Affordable Care Act to allow a POH to expand beyond 
its baseline number of operating rooms, procedure rooms, and beds (as 
defined at 42 CFR 411.363(a)) without requesting an expansion from the 
Secretary as required at 42 CFR 411.362(b)(2), how can CMS ensure that 
the POH reduces its facility capacity to its baseline number of 
operating rooms, procedure rooms, and beds?
     What additional program integrity requirements should CMS 
consider to avoid beneficiary steering, cherry-picking, and lemon-
dropping and ensure beneficiary choice is not compromised if waivers 
are offered to POHs?
     Should any episode categories be excluded from episode 
initiation, or should any items and services be

[[Page 19670]]

excluded from target prices for POHs in TEAM? If so, include evidence 
to support this exclusion.
     What episode categories, beyond the episode categories 
currently tested in TEAM should CMS consider testing for POHs?

B. Proposed Revision to Provider-Based Location Criteria Regulations 
Applicable to Off-Campus Facilities or Organizations (Sec.  413.65)

1. Background
    The Medicare law lists the types of facilities that are regarded as 
providers of services but does not use or define the term ``provider-
based'' (section 1861(u) of the Act). However, since the beginning of 
the Medicare program, some providers, referred to as main providers, 
have functioned as a single entity while owning and operating multiple 
subordinate facilities that were treated as part of the main provider 
for Medicare purposes (as related to, for instance, payment; 
certification; coverage; and/or billing). With this, such provider-
based facilities might enjoy a number of advantages, including most 
notably, increased payments from Medicare. Therefore, we have 
maintained that having clear criteria for acquiring provider-based 
status, as opposed to operating as a freestanding facility, is 
important because failure to properly distinguish between the two risks 
overpayment to the latter, which can result in increased beneficiary 
coinsurance liability, with no commensurate benefit to the Medicare 
program or its beneficiaries.
    Program Memorandum A-967, published on August 27, 1996, provided 
instructions for specific entity types from previously published 
documents consolidated into a general instruction for the designation 
of provider-based status for all facilities or organizations. That 
Program Memorandum was subsequently reissued, without substantive 
change, as Program Memoranda A-98-15 and A99-24 and, in October 1999, 
was manualized by the Provider Reimbursement Manual, Part I, 
Transmittal 411 (adding new section 2446), and the State Operations 
Manual, Transmittal 11 (replacing previous section 2003 and adding new 
section 2004). The Medicare rules regarding provider-based status of 
facilities and organizations are set forth at 42 CFR 413.65 and have 
been revised and updated on numerous occasions since initial issuance 
on April 7, 2000 (65 FR 18504). We note that implementation of the 
April 7, 2000 regulations was delayed for many providers by Public Law 
106-554 in the Medicare, Medicaid, and SCHIP Benefits Improvement and 
Protection Act of 2000 (BIPA), which further amended the criteria for 
determining provider-based status, as implemented in a final rule 
published in the Federal Register on November 30, 2001 (66 FR 59909).
    Since the initial creation and implementation of the provider-based 
rules, CMS included requirements that the facility or organization 
seeking provider-based status and the main provider either be located 
on the same ``campus,'' as defined in regulations, \457\ or, amongst 
other criteria, demonstrate they serve the same patient population. In 
the initial versions of the provider-based rules, the requirements 
regarding servicing the same patient population included a requirement 
that the facility or organization seeking provider-based status be in 
the ``immediate vicinity'' of the main provider's campus. The precise 
distance for an ``immediate vicinity'' determination was not defined in 
rulemaking, though the limit was generally understood to not exceed 35 
road miles from the main facility, consistent with prior guidance. In 
response to a commenter in the final rule with comment period published 
in the Federal Register on April 7, 2000 (65 FR 18516), CMS concurred 
that establishing more precise criteria was required and finalized 
alternative methods to determine whether a provider-based facility or 
organization could demonstrate that it serves the same patient 
population as the main provider, even if it did not meet the 
``immediate vicinity'' criterion. As revised, this ``same patient 
population'' test required hospitals to annually demonstrate a 
geographic overlap in service area through comparisons of patients' 
home zip code data from the main provider and the facility or 
organization seeking provider-based status.
---------------------------------------------------------------------------

    \457\ See 42 CFR 413.65(a)(2).
---------------------------------------------------------------------------

    Section 404(b) of BIPA further amended the immediate vicinity 
criterion by stating that the facility or organization must be located 
within a 35-mile radius of the potential main provider. The legislation 
also maintained the criteria previously finalized by CMS to demonstrate 
that a facility or organization serves the ``same patient population'' 
as the potential main provider (the ``75 percent'' tests). And to 
encourage delivery of care to uninsured, low-income individuals, BIPA 
added alternative qualification criteria for certain hospitals with a 
disproportionate share adjustment greater than 11.75 percent.
    In the FY 2001 IPPS/LTCH PPS final rule (65 FR 18517 through 
18518), commenters requested that the requirement to serve the same 
patient population be modified to exclude off-campus inpatient 
facilities of hospitals because these facilities provide similar types 
of service as the main provider but serve patient populations from 
different geographic areas. We responded by stating that CMS recognizes 
there may be some cases in which a main hospital and another facility 
or organization seeking provider-based status may meet most or all 
other determining criteria in the regulations yet not qualify under the 
same patient population tests. We disagreed that this result should 
lead us to abandon the same patient population test, however, and 
pushed back on the commenter's assumption that because the program 
memorandum and proposed rule were issued in response to situations 
primarily involving outpatient facilities, they can apply only to such 
facilities. In that rule, we expressed specific concerns regarding 
payment implications for certain potential arrangements that we 
believed warranted application of the provider-based rules to both 
outpatient and inpatient locations. Specifically, we stated that the 
establishment of off-campus facilities excluded from the inpatient PPS 
could lead to payment abuses, such as circumvention of certain payment 
caps. We further addressed more general requests to exempt off-campus 
inpatient facilities from provider-based rules in the FY 2003 IPPS/LTCH 
PPS final rule (67 FR 50081 through 500082), reaffirming our position 
that provider-based rules should apply to both inpatient and outpatient 
facilities and organizations.
2. Proposed Revision to the ``Same Patient Population'' Location 
Criteria
    To satisfy the location criterion set forth at Sec.  
413.65(e)(3)(iii), the regulation requires the facility or organization 
demonstrate that it serves the ``same patient population'' as the main 
provider by submitting records showing that, during the immediately 
preceding 12-month period, and for each subsequent 12-month period, 
that either: at least 75 percent of the patients served by the facility 
or organization reside in the same zip code areas as at least 75 
percent of the patients served by the main provider (Sec.  
413.65(e)(3)(iii)(A)); or at least 75 percent of the patients served by 
the facility or organization who required the type of care furnished by 
the main provider received that care from that provider (Sec.  
413.65(e)(3)(iii)(B)). The provision at Sec.  413.65(e)(3)(iv) provides 
a

[[Page 19671]]

temporary test for newly established facilities that would not yet have 
12 months of data to evaluate. We continue to believe that hospitals 
operating off-campus inpatient sites, such as a remote location or 
satellite facility, must meet one of the location requirements set 
forth in Sec.  413.65(e)(3). However, upon further evaluation, we have 
concerns that aspects of the 75 percent tests do indeed pose an issue 
regarding facilities that furnish inpatient services.
    Within the text of Sec.  413.65(e)(3)(iii)(B), an example is 
utilized to illustrate that to meet the requirement a hospital must 
demonstrate that at least 75 percent of the patients of a rural health 
clinic (RHC) seeking provider-based status received inpatient hospital 
services from the main provider hospital. This example describes a 
referral relationship between the main provider and the off-campus 
facility. That is, in certain geographic areas, where obtaining more 
acute follow-up care may require longer travel times, this provision 
provides an exception to a distance-based criterion for establishing 
the boundaries for a ``same patient population'' service area. We 
believe this example was provided to reinforce CMS' intention that this 
provision could be applied to exceptionally isolated outpatient 
facilities where additional services are routinely received by patients 
at more distant acute care facilities. Distinguishably, however, if a 
hospital chooses to operate two distinct inpatient locations more than 
35 miles apart, we do not believe the hospital should be able to 
document that they serve the same patient population via the referral-
based 75 percent test. Further, for PPS hospitals, inpatient services 
are generally paid based on the geographic location of the inpatient 
facility. Obtaining provider-based status for a remote location 
facility would, therefore, not have significant financial implications. 
By contrast, however, we are concerned that allowing this referral-
based exception for inpatient facilities, certain specialty and PPS-
excluded hospitals could obtain significant payment advantages for 
inpatient services provided at considerable distances from the main 
provider. We are aware that hospitals may, on occasion, transfer, or 
schedule additional follow-up for patients between related inpatient 
facilities. Even so, we believe these cases are likely limited to 
exceptional circumstances and not adequately demonstrative of whether 
one facility provides services to the same patient population as 
another.
    For these reasons, we are proposing to limit the application of 
Sec.  413.65(e)(3)(iii)(B) to outpatient departments only. When a 
patient that ``required the type of care furnished by the main 
provider'' is referenced, it was contemplated that the encounter(s) at 
the proposed provider-based location would deliver outpatient services 
rather than inpatient services. We believe that this proposed revision 
maintains the original intent of the policy by permitting a proposed 
provider-based outpatient practice location to exceed the 35-mile 
radius in circumstances where inpatient services are not readily 
available in the area. And eliminates the aforementioned potential for 
arguably unwarranted payment advantages by certain hospitals. 
Accordingly, we are proposing to revise Sec.  413.65(e)(3)(iii)(B) to 
specify that at least 75 percent of the patients served by an 
outpatient facility or organization who required the type of care 
furnished by the main provider received that care from that provider. 
An inpatient facility or organization, by contrast, would be excluded 
from utilizing this test to meet the location requirement altogether. 
Further, we are proposing the addition of clarifying language at Sec.  
413.65(e)(3)(iii)(A) to make explicit that provision may still be 
utilized by either an inpatient or outpatient facility or organization.
    We seek comment on this proposal.

C. Proposed Expansion of the Comprehensive Joint Replacement (CJR) 
Model

1. Overview of Proposed Expansion of the Comprehensive Care for Joint 
Replacement (CJR) Model
a. Introduction
    CJR was a mandatory alternative payment model tested by the Center 
for Medicare and Medicaid Innovation (Innovation Center) between April 
1, 2016, and December 31, 2024 in all eligible acute care hospitals 
within selected Metropolitan Statistical Areas (MSAs). Based on 
evaluation results indicating the model successfully reduced spending 
without reducing quality of care and the Secretary determining that the 
model has met the requirements for expansion, as described in section 
X.C.1.c. of this proposed rule, we are proposing to expand CJR to all 
eligible acute care hospitals nationwide. The proposed CJR model 
expansion, referred to as the Comprehensive Care for Joint Replacement 
Expanded (CJR-X) Model, presents an opportunity to further improve the 
quality of care for lower extremity joint replacements (LEJRs) 
furnished to Medicare beneficiaries nationwide by incentivizing 
hospitals, physicians, and post-acute care providers to work together 
to improve the quality and coordination of care from the initial 
hospitalization or procedure through recovery. If finalized, all 
eligible acute care hospitals would be required to participate in the 
CJR-X model beginning October 1, 2027.
    In order to distinguish our discussion of proposed policies for 
CJR-X from our discussion of the initial CJR Model test, we will refer 
to the latter as ``the CJR Model''. Additionally, we note that the CJR 
Model was initially designed to end on December 31, 2020, but was 
extended with modifications to the methodology, as described in section 
X.C.1.b. of this proposed rule. As a result, some of the policies we 
discuss in this proposed rule will have been applicable only prior to 
the extension while others will have been applicable only during the 
extension period (for example, the extension period broadened the 
definition of episodes to include outpatient episodes and modified the 
target price methodology). To distinguish the timeframe in which these 
particular policies applied, we will henceforth use the term ``original 
CJR Model'' for the former and ``CJR Extension'' for the latter. For 
specific policies that were consistent across both the original and 
extension periods, or discussion of the CJR Model test as a whole, we 
will continue to use the term ``the CJR Model.'' To distinguish the 
performance years in the CJR Model as defined at Sec.  510.2 from our 
proposed definition of performance years (PYs) in CJR-X at Sec.  
512.605, we will refer to the former as ``CJR Model PYs.''
b. Background
    The Innovation Center implemented the CJR Model under the authority 
of section 1115A of the Act, through notice-and-comment rulemaking. The 
Innovation Center issued a final rule titled ``Medicare Program; 
Comprehensive Care for Joint Replacement Payment Model for Acute Care 
Hospitals Furnishing Lower Extremity Joint Replacement Services'' 
(referred to as the ``2015 CJR final rule''), which appeared in the 
November 24, 2015 Federal Register (80 FR 73274). The first CJR Model 
performance period began April 1, 2016. The goal of the CJR Model was 
to support better and more efficient care for beneficiaries undergoing 
the most common inpatient surgeries for beneficiaries: hip and knee 
replacements (also called lower extremity joint replacements or LEJR). 
Using the randomized selection methodology finalized in the 2015 CJR

[[Page 19672]]

final rule, we selected 67 MSAs and initially required the 
approximately 800 acute care hospitals located in those MSAs to 
participate in the model through December 31, 2020. The selection of 
mandatory MSAs was reduced to 34 of the original 67 in later 
performance years of the model to focus on highest average spending 
MSAs to allow us to evaluate the effects of the CJR Model across a wide 
range of providers, including some that might not otherwise participate 
in the model (82 FR 57073).
    The CJR Model tested quality and spending accountability for an 
episode of care associated with hip and knee replacements to encourage 
hospitals, physicians, and post-acute care providers to work together 
to improve the quality and coordination of care from the initial 
hospitalization through recovery. Specifically, the CJR Model was a 
retrospective bundled payment model where CMS provided participant 
hospitals with a target price for each CJR episode type (based on the 
MS-DRG assigned to the hospitalization and the presence or absence of a 
hip fracture in the original CJR Model and the MS-DRG or HCPCS code 
assigned to the hospitalization or procedure in the CJR Extension), 
prior to the start of each CJR Model PY. All providers and suppliers 
furnishing LEJR episodes of care to patients throughout the year were 
paid under existing Medicare payment systems. The target price included 
a discount that served as Medicare's portion of reduced expenditures 
from the LEJR episode, and initially incorporated a blend of 
historical, hospital-specific spending and regional spending for LEJR 
episodes, with the regional component of the blend increasing over time 
and eventually being 100 percent regional for PYs 4 through 8. 
Following the end of a CJR Model PY, actual total spending for a 
hospital's episodes was compared to the target price for those 
episodes. Depending on the participant hospital's quality and episode 
spending performance, the hospital could receive an additional payment 
from Medicare if spending was less than the target price or be required 
to repay Medicare for a portion of the episode spending that exceeded 
the target price.
    In the January 2017 final rule (82 FR 180) and the December 2017 
final rule (82 FR 57066), CMS implemented revisions to the CJR Model, 
including creating an Advanced APM track within the model and 
finalizing technical refinements and clarifications for certain 
payments, reconciliation and quality provisions. Additionally, in the 
December 2017 final rule, CMS offered rural and low-volume hospitals 
selected for participation in the CJR Model, as well as those hospitals 
located in 33 of the 67 MSAs, a one-time option to choose whether to 
continue their participation in the model until the initial CJR Model 
end date of December 31, 2020. All other participating hospitals in the 
remaining 34 MSAs continued to be mandatory participants (henceforth 
referred to as ``mandatory hospitals'').
    While initial evaluation results for the first and second year of 
the CJR Model[thinsp]indicated that the model was having a positive 
impact on lowering episode costs when CJR participant hospitals were 
compared to non-CJR hospitals (with no negative impacts on quality of 
care), changes in program payment policy and national care delivery 
patterns had occurred since the CJR Model began.458 459 
Specifically, knee replacements (total knee arthroplasty, or TKA) had 
been removed from the Inpatient Only (IPO) List as of January 1, 2018. 
Hip replacements (total hip arthroplasty, or THA) were subsequently 
removed from the IPO List as of January 1, 2020. These policy changes 
meant that TKA and THA procedures would be paid by Medicare when 
performed in the outpatient setting (meaning in a hospital outpatient 
department, or HOPD). However, the definition of an episode in the 
original CJR Model included only those TKA and THA procedures performed 
in the inpatient setting. Additionally, changes in national care 
delivery patterns meant that hospitals nationwide (including those not 
participating in the CJR Model) were reducing spending on LEJR 
episodes, but the model's original prospective target price methodology 
did not sufficiently account for these nationwide trends. As a result, 
target prices were artificially inflated, leading to concerns about the 
ability of the model to demonstrate savings over time.
---------------------------------------------------------------------------

    \458\ Comprehensive Care for Joint Replacement Model--First 
Annual Report (https://www.cms.gov/files/document/cjr-firstannrptpdf.pdf).
    \459\ Comprehensive Care for Joint Replacement Model--Second 
Annual Report (https://www.cms.gov/files/document/cjr-secondannrptpdf.pdf).
---------------------------------------------------------------------------

    In order to update the original CJR Model to address those changes 
to policy and care delivery patterns and improve the model's ability to 
demonstrate savings, CMS issued a proposed rule titled ``Medicare 
Program: Comprehensive Care for Joint Replacement Model Three-Year 
Extension and Changes to Episode Definition and Pricing'' (referred to 
as the ``2020 CJR 3-Year Extension proposed rule''), which appeared in 
the February 24, 2020 Federal Register (85 FR 10516). This rule 
proposed to extend the CJR Model for an additional three CJR Model PYs 
with modifications that included adding outpatient TKAs and THAs to the 
episode definition, adjusting the target price methodology and risk 
adjustment, and simplifying the reconciliation process.
    Shortly before the 2020 CJR 3-Year Extension proposed rule was 
published, on January 31, 2020, Secretary of Health and Human Services 
Alex M. Azar II determined that a public health emergency (PHE) existed 
and had existed nationwide since January 27, 2020 due to confirmed 
cases of the 2019 Novel Coronavirus (2019-nCoV, hereafter referred to 
as ``COVID-19'').\460\ In April 2020, in response to the COVID-19 PHE, 
CMS issued the April 2020 Interim Final Rule with Comment Period (IFC) 
(85 FR 19230), which addressed the impact of the COVID-19 PHE on 
participant hospitals. CMS delayed the proposed extension and 
modification of the original CJR Model and instead extended CJR Model 
PY5 through March 31, 2021, to minimize disruption to CJR Model 
participants as they dealt with the challenges of the COVID-19 PHE. CMS 
also adjusted the CJR Model's extreme and uncontrollable circumstances 
policy (originally designed to provide a time-limited period of 
financial protection to hospitals in the case of natural disasters such 
as hurricanes, floods, and wildfires) to apply to all CJR episodes 
during the COVID-19 PHE. This updated policy effectively waived 
downside risk for all CJR episodes during the COVID-19 PHE.
---------------------------------------------------------------------------

    \460\ Administration for Strategic Preparedness & Response: 
Determination That A Public Health Emergency Exists (https://aspr.hhs.gov/legal/PHE/Pages/2019-nCoV.aspx).
---------------------------------------------------------------------------

    Subsequently, CMS issued the November 2020 interim final rule with 
comment period (IFC) (85 FR 71142), which implemented several changes 
to the CJR Model. Among them, CMS made a technical change to include 
MS-DRGs 521 and 522 in the CJR episode definition to ensure that the 
model continued to include the same inpatient LEJR procedures, despite 
the introduction in FY 2020 of new MS-DRGs to describe those 
procedures. CMS also finalized a more targeted application of the 
extreme and uncontrollable circumstances policy to episodes with a 
COVID-19 diagnosis. This change increased the likelihood of model 
savings while providing participants with financial protection against 
COVID-19 episodes after the COVID-19 PHE ended.

[[Page 19673]]

    Evaluation results from the first four years of the CJR Model 
indicated that mandatory hospitals generated $72 million in savings to 
Medicare while maintaining quality, although the savings were not 
statistically significant. But in PY 5, reconciliation payments 
substantially increased, generating $95.4M in statistically significant 
Medicare losses, due to adjustments made to the model during the COVID-
19 PHE. CMS implemented these temporary adjustments, which effectively 
waived downside risk for all CJR episodes, in order to minimize any 
financial burden associated with model participation given the 
financial challenges and uncertainties hospitals faced early in the 
COVID-19 PHE. These adjustments resulted in reconciliation payments 
being triple what they were in previous years, which reversed the 
savings trajectory and resulted in statistically significant losses to 
Medicare for mandatory hospitals. The losses in CJR Model PY 5 were 
large enough to offset total estimated savings prior to the PHE. \461\
---------------------------------------------------------------------------

    \461\ Comprehensive Care for Joint Replacement Model--Fifth 
Annual Report (https://www.cms.gov/priorities/innovation/data-and-reports/2023/cjr-py5-annual-report).
---------------------------------------------------------------------------

    In order to return the model to a savings trajectory, CMS published 
the final rule titled ``Medicare Program: Comprehensive Care for Joint 
Replacement Model Three-Year Extension and Changes to Episode 
Definition and Pricing; Medicare and Medicaid Programs; Policies and 
Regulatory Revisions in Response to the COVID-19 Public Health 
Emergency'' in the May 3, 2021 Federal Register (86 FR 23496) (referred 
to in this proposed rule as the ``2021 CJR 3-Year Extension final 
rule''). The 2021 CJR 3-Year Extension final rule finalized the 
extension and modification of the original CJR Model that CMS had 
proposed in the 2020 CJR 3-Year Extension proposed rule. This rule 
extended the length of the model through December 31, 2024 by adding an 
additional 3 CJR Model PYs. Also, CMS finalized revisions to certain 
aspects of the CJR Model including the episode definition (which was 
modified to include outpatient episodes), the target price calculation, 
the reconciliation process, the beneficiary notice requirements, and 
the appeals process. In addition, for PYs 6 through 8, the 50 percent 
cap on gainsharing payments, distribution payments, and downstream 
distribution payments for certain recipients was eliminated.
    By 2024, CMS continued to believe the CJR Model could demonstrate 
savings after extending the model with modifications to account for 
policy and practice pattern changes. However, assessing the impact of 
these modifications on the potential for certification and expansion of 
the CJR Model would require additional time to collect and analyze 
evaluation data. Although preliminary evaluation results for CJR Model 
PY6 suggested that the modifications would result in Medicare savings, 
preliminary evaluation results for the full 3-year CJR Extension would 
not be available until late 2025. In the meantime, CMS sought to 
continue the care transformation efforts that we had promoted through 
both the CJR and Bundled Payments for Care Improvement Advanced (BPCI 
Advanced) Models. To achieve this goal, CMS finalized the Transforming 
Episode Accountability Model (TEAM) in the FY 2025 IPPS/LTCH PPS final 
rule, which appeared in the August 28, 2024 Federal Register (89 FR 
68986). TEAM is a mandatory episode-based payment model for selected 
acute care hospitals that includes five surgical episodes, including 
LEJR. As we noted in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69631), TEAM is based on: (1) lessons learned from testing the Bundled 
Payments for Care Improvement (BPCI) initiative, the BPCI Advanced 
Model, and the CJR Model; and (2) comments received from the ``Request 
for Information; Episode-Based Payment Model'' (88 FR 45872) published 
in the Federal Register on July 18, 2023. The first TEAM performance 
year began on January 1, 2026.
    The LEJR episode and payment methodology currently being tested in 
TEAM are similar to the CJR Model in many ways, but there are a few key 
differences between the models. For example, TEAM episodes include the 
30-day period after the discharge date (for inpatient procedures) or 
procedure date (for outpatient procedures), rather than the 90-day 
post-acute period included in the CJR Model. TEAM incorporates a more 
comprehensive set of risk adjustment factors into episode target prices 
as compared to the CJR Extension. TEAM also includes provisions for 
safety net hospitals (as defined at Sec.  512.505) and hospitals with a 
low volume of episodes during the applicable baseline period to protect 
those hospitals from disproportionate financial risk. As stated 
previously, each element of TEAM that differs from either original CJR 
Model or the CJR Extension was included based on evaluation findings 
from the CJR and BPCI Advanced Models or stakeholder feedback, 
including responses to the July 2023 ``Request for Information; 
Episode-Based Payment Model''.
    The final CJR Model PY ended on December 31, 2024, and the first 
TEAM performance year began on January 1, 2026. In the interim period 
between the end of the CJR Model and the beginning of TEAM, final 
evaluation results for the CJR Model PYs 6 and 7 and preliminary 
evaluation results for CJR Model PY 8 became available, due to the time 
required after a given CJR Model PY to allow for claims run out, the 
reconciliation process, and data analysis. Evaluation results for CJR 
Model PYs 6 through 8 indicated that the modifications in the CJR 
Extension, along with the more targeted application of the extreme and 
uncontrollable circumstances policy to COVID-19 episodes, had succeeded 
in returning the CJR Model to a positive savings trajectory. The 
seventh annual evaluation report found that the CJR Model had produced 
$112.7 million in net savings to Medicare across CJR Model PYs 6 and 7 
while maintaining quality of care.\462\
---------------------------------------------------------------------------

    \462\ Comprehensive Care for Joint Replacement Model--Seventh 
Annual Report (https://www.cms.gov/priorities/innovation/data-and-reports/2025/cjr-py7-annual-report).
---------------------------------------------------------------------------

    Given the success of the CJR Model in achieving savings for 
Medicare across CJR Model PYs 6 through 8 while maintaining quality of 
care resulting from the CJR Extension policy modifications, CMS is 
proposing to expand the CJR Model to all eligible acute care hospitals 
nationwide. For hospitals currently participating in TEAM, which 
includes an LEJR episode, CMS is proposing that those TEAM participant 
hospitals would be exempt from CJR-X until the end of the TEAM model 
test. We are proposing minor modifications in CJR-X that will align 
with some of the policies we implemented in TEAM because we believe 
these changes represent improvements to the CJR Model methodology, as 
we discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69631) and 
will discuss in further detail in the following sections of this 
proposed rule. We are proposing to codify CJR-X policies at Sec. Sec.  
512.600 through 512.695, as discussed in more detail in the sections 
that follow.
c. Requirements for Expansion of the CJR Model
    Section 1115A(c) of the Act provides the Secretary with the 
authority to expand (including implementation on a nationwide basis), 
through rulemaking, the duration and the scope of a model that is being 
tested under section

[[Page 19674]]

1115A(b) of the Act if the following findings are made, taking into 
account the evaluation of the model under section 1115A(b)(4) of the 
Act: (1) the Secretary determines that such expansion is expected to 
reduce spending without reducing quality of care or improve the quality 
of patient care without increasing spending; (2) the CMS Chief Actuary 
certifies that such expansion would reduce (or would not result in any 
increase in) net program spending; and (3) the Secretary determines 
that the expansion would not deny or limit the coverage or provision of 
benefits.
     Reduced Spending while Maintaining Quality of 
Care: As observed in the Seventh Annual Evaluation Report, the CJR 
Model achieved savings to Medicare of $112.7 million across PY 6 and 7 
while maintaining quality of care as measured by emergency department 
(ED) visits, unplanned readmission rates, mortality rates, and LEJR 
complication rates.\463\ Based on these findings, the Secretary 
determined that expansion of the CJR Model would reduce spending while 
maintaining quality of care.
---------------------------------------------------------------------------

    \463\ Ibid.
---------------------------------------------------------------------------

     Impact on Medicare Spending: The CMS Chief 
Actuary has certified that expansion of the CJR Model would produce 
Medicare savings if expanded to all eligible acute care hospitals 
nationwide.
     No Alteration in Coverage or Provision of 
Benefits: The CJR Model did not make any changes to coverage or 
provision of benefits for beneficiaries. Therefore, the Secretary has 
determined that expansion of the CJR Model would not deny or limit the 
coverage or provision of Medicare benefits for beneficiaries.
    Consistent with our statutory authority, we propose to continue to 
test and evaluate the CJR Model as CJR-X. We note that CJR-X would not 
be considered a Phase I model, as described under section 1115A(b) of 
the Act, but rather it would be a Phase II model under section 1115A(c) 
of the Act. As a nationally expanded Phase II model, we would continue 
to assess whether the expanded implementation of CJR-X is either 
continuing to reduce Medicare spending without reducing quality of care 
or improving the quality of patient care without increasing spending. 
We note that we may modify CJR-X as appropriate through future notice 
and comment rulemaking.
2. Provisions of the Proposed Comprehensive Care for Joint Replacement 
Expanded (CJR-X) Model
a. Scope of Proposed Model
    We propose that CJR-X would begin on October 1, 2027. Under this 
proposal, CJR-X performance years would align with fiscal years (FYs), 
in contrast the CJR Model, which aligned with calendar years (CYs). 
While we considered proposing a January 1, 2028 start date to align 
with CY and be consistent with the CJR Model, we believe that changing 
to FY is more appropriate given that the IPPS is aligned to an FY 
cycle, and we anticipate potential future policy changes to CJR-X would 
be proposed in the IPPS rulemaking cycle. Therefore, we propose that 
the first PY of CJR-X would run from October 1, 2027 through September 
30, 2028, and the proceeding performance years would follow the same 
cadence.
    We also considered a later start date to allow additional time for 
CJR-X participants to prepare for the model. However, we believe it 
beneficial to limit the amount of time between the final CJR Model PY 
and the continuation of the model test as CJR-X. In addition, the 
proposed start date provides more lead time for participants than the 
CJR Model did when finalized in November 2015. Despite the CJR Model 
beginning when hospitals had less experience with episode-based payment 
models, participants were able to successfully implement the model for 
the first performance year in April 2016. With the October 1, 2027 
start date, hospitals would have more than 1 year to prepare for CJR-X 
participation. We also anticipate that many hospitals will have prior 
experience with LEJR episodes given that the Innovation Center has 
tested episode-based payment models for over a decade and Medicare 
Advantage organizations and commercial insurers often include episode-
based contracts for high-volume procedures. We seek comment on our 
proposal at Sec.  512.605 to define ``performance year'' as aligning 
with FYs and our proposal at Sec.  512.630(a) to begin the model on 
October 1, 2027. We also seek comment on alternative start dates.
    The CJR Model was a mandatory model for acute care hospitals within 
certain selected MSAs. However, for CJR-X, we propose that all eligible 
acute care hospitals nationwide would be required to participate, as 
described in section X.C.1.b. of this proposed rule. As we stated in 
section X.C.1.c. of this proposed rule, the CJR Model has met the 
requirements for expansion as a nationwide model by reducing spending 
and maintaining quality of care among mandatory hospitals, and the CMS 
Chief Actuary has certified its nationwide expansion as a mandatory 
model.
b. Proposed Participants
(1) Background
    The CJR Model incentivized coordination between hospitals, 
clinicians, and PAC providers (that is, home health agencies (HHAs), 
skilled nursing facilities (SNFs), inpatient rehabilitation facilities 
(IRFs), and long-term care hospitals (LTCHs), as defined at section 
1899B(a)(2) of the Act) to improve outcomes and reduce spending for 
beneficiaries undergoing an LEJR procedure. The model required 
participation by most acute care hospitals in selected geographical 
areas, unless they met certain exceptions. Based on the CJR Model 
evaluations, participant hospitals were able to decrease spending while 
maintaining quality. Therefore, we believe expanding the model 
nationally to all eligible hospitals would increase the impact of CJR-
X.
(2) Proposed CJR-X Participant Definition
    Consistent with the CJR Model, we propose that hospitals would be 
the model participants in CJR-X. Because it is the hospital that 
furnishes the surgical procedure, we believe it is most straightforward 
and appropriate for the hospital to be the model participant. Hospital 
staff already manage discharge needs and placement recommendations as 
part of post-procedural or post-discharge care for beneficiaries. In 
addition, hospitals are more likely than other providers or suppliers 
to have access to the resources to appropriately manage and coordinate 
care throughout the episode and have an adequate volume of episodes to 
warrant investment in more robust care coordination. For the purposes 
of CJR-X, the term ``hospital'' means a hospital as defined in section 
1886(d)(1)(B) of the Act, which includes only acute care hospitals and 
excludes certain specialty hospitals, such as psychiatric and cancer 
hospitals. Although the CJR Model was confined to certain geographic 
areas, we propose at Sec.  512.610(a) that CJR-X participation would be 
mandatory for all acute care hospitals nationwide, provided they meet 
the proposed ``CJR-X participant'' definition.
    We propose to define a ``CJR-X participant'' as an acute care 
hospital located in any of the 50 United States, District of Columbia, 
or U.S. Territory that initiates LEJR episodes and is paid

[[Page 19675]]

under both the IPPS and OPPS, unless it meets an exception described in 
section X.C.2.b.(i.) of this proposed rule. We believe that only 
including acute care hospitals that bill for services under both the 
IPPS and OPPS is necessary to avoid potential challenges related to 
constructing target prices for episodes that initiate in either the 
inpatient or outpatient department of a hospital but are not paid under 
the IPPS or OPPS, respectively. For instance, this policy would exclude 
Indian Health Service (IHS) and Tribal hospitals from CJR-X 
participation as they are paid under the IPPS but not the OPPS, as 
described in Sec.  [thinsp]419.20 of this chapter. Similarly, hospitals 
participating in the Rural Community Hospital Demonstration, Critical 
Access Hospitals, and Rural Emergency Hospitals would also be excepted 
because they are not paid under IPPS.
    Further, we propose at Sec.  512.610(a)(2) that CJR-X participants 
will remain CJR-X participants, unless they no longer meet the 
definition of CJR-X participant, CMS terminates CJR-X or the CJR-X 
participant receives notice of termination from CJR-X in accordance 
with Sec.  512.165.
    We considered but did not propose including Ambulatory Surgery 
Centers (ASCs) as CJR-X participants. Including ASCs would present a 
significant departure from the CJR Model test and introduce 
overwhelming uncertainty to the CMS Chief Actuary's certification. We 
note that CMS issued a request for information regarding ASC inclusion 
in TEAM in section X.A.2.d. of this proposed rule. Should ASCs be 
included in TEAM in the future and subsequent TEAM evaluation reports 
produce data to support ASC inclusion in CJR-X, any such participation 
change would be proposed through future notice and comment rulemaking.
    We seek comment on our proposal at Sec.  512.605 to define 
``hospital'' as defined in section 1886(d)(1)(B) of the Act and ``CJR-X 
participant'' as a hospital located in any of the 50 States, District 
of Columbia, and U.S. Territories that initiates LEJR episodes and is 
paid under both the IPPS and OPPS. We also seek comment on our 
proposals at Sec.  512.610(a) that CJR-X participation would be 
mandatory for all eligible acute care hospitals nationwide and that 
CJR-X participants will remain CJR-X participants, unless they no 
longer meet the definition of CJR-X participant, CMS terminates CJR-X, 
or the CJR-X participant receives notice of termination from CJR-X in 
accordance with Sec.  512.165.
(a) Proposed CJR-X Participant Exceptions
    We propose at Sec.  512.610(b)(1) to exclude hospitals that are 
TEAM participants. Although LEJR episodes in TEAM are similar to the 
proposed LEJR episodes in CJR-X, there are a few key differences. Most 
notably, TEAM tests 30-day episodes, while CJR-X would continue testing 
90-day episodes that demonstrated savings in the CJR Model. Excluding 
TEAM participants from CJR-X would allow us to compare the impacts of 
30- and 90-day episodes on savings and quality of care, while 
maintaining a consistent methodology across all five TEAM episodes. 
Moreover, we believe that subjecting TEAM participants to CJR-X rules 
for LEJR episodes and TEAM rules for the remaining four TEAM episodes 
would create confusion for providers and deviate from a consistent 
testing methodology.
    We note that the TEAM exclusion applies to both mandatory and 
voluntary TEAM participants, as voluntary TEAM participants must remain 
in the model until its conclusion per Sec.  512.510(a). We also note 
that this exclusion would expire at the conclusion of the TEAM test or 
if at any point a TEAM participant no longer meets the TEAM participant 
definition, at which point TEAM participants that meet CJR-X 
participant definition at Sec.  512.605 would become CJR-X 
participants. In addition, while it is too early to make assumptions 
about the model test, should TEAM be expanded in the future, we would 
evaluate whether to continue LEJR in either TEAM or CJR-X, as we do not 
envision LEJR episodes being expanded in both concurrently.
    We propose at Sec.  512.610(b)(2) to exclude acute care hospitals 
in the State of Maryland because of its unique rate-setting authority, 
as described in section X.C.2.f.(3)(a) of this proposed rule. We do not 
believe that the regional pricing methodology used in CJR-X would 
accurately reflect episode spending for Maryland hospitals. We 
acknowledge that the State of Maryland is participating in the 
Achieving Healthcare Efficiency through Accountable Design (AHEAD) 
model, with which CJR-X would allow concurrent participation. Further, 
we are aware that Maryland's rate setting authority is in transition 
and will conclude at the end of 2027. Therefore, we may consider, 
through future notice and comment rulemaking, modifications to our 
proposed policy to exclude Maryland from CJR-X and our proposed policy 
to permit concurrent participation with the AHEAD model.
    We seek comment on our proposals at Sec.  512.610(b) to exclude 
TEAM participants and Maryland hospitals from CJR-X.
c. Proposed Beneficiary Population
    We propose at Sec.  512.620(a) that the beneficiaries whose care 
would be included in CJR-X would include those who meet the following 
beneficiary inclusion criteria at the time of their admission for an 
anchor procedure or anchor hospitalization:
     Is enrolled in Medicare Part A and Part B;
     Has Medicare as their primary payer;
     Is not eligible for Medicare on the basis of end-stage 
renal disease, as described at Sec.  406.13;
     Is not enrolled in any managed care plan (for example, 
Medicare Advantage, Health Care Prepayment Plans, cost-based health 
maintenance organizations);
     Is not covered under a United Mine Workers of America 
health plan, which provides health care benefits for retired mine 
workers; and
     Is in an episode, as defined at Sec.  512.605.
    We believe this is the most appropriate Medicare population to 
include in CJR-X because it aligns with the CJR Model population 
tested. Excluding beneficiaries enrolled in managed care or covered by 
payment systems other than the IPPS and OPPS ensures that CMS has 
complete and consistent claims data across the full episode of care, 
including inpatient, outpatient, physician, and post-acute services, 
which is essential for setting target prices, calculating episode 
spending, and assessing quality performance. In addition, excluding 
beneficiaries with Medicare eligibility based on end-stage renal 
disease and those with other primary payers helps reduce clinical and 
financial heterogeneity that could compromise comparability across 
episodes and participant hospitals. Together, these eligibility 
criteria ensure that CJR-X hospitals are held accountable only for 
episodes over which Medicare has primary payment responsibility and 
complete data visibility.
    We recognize that a CJR-X episode could be initiated for a 
beneficiary who ceases to meet the beneficiary inclusion criteria at 
some point during the episode. In this case, we propose at Sec.  
512.620(b) that we would cancel the episode. We seek comment on the 
proposed beneficiary inclusion criteria and the proposal to cancel 
episodes if a

[[Page 19676]]

beneficiary no longer meets that criteria at Sec.  512.620.
(1) Beneficiary Notification
    We are proposing CJR-X because we believe it offers an opportunity 
to improve quality of care. We believe that the policies of the model 
would make care more easily accessible to consumers when and where they 
need it and increase consumer engagement and beneficiary choice. For 
example, under this model we are proposing certain waivers which would 
offer CJR-X participants additional flexibilities with respect to 
furnishing telehealth services and care in SNFs, as discussed in 
section X.C.2.j. of this proposed rule. Conversely, we do note that 
these same opportunities could be used to try to steer beneficiaries 
into lower cost services without an appropriate emphasis on maintaining 
or increasing quality given the incentives to reduce Medicare spending 
in the model.
    We believe that existing Medicare provisions would be effective in 
protecting beneficiary freedom of choice and access to appropriate care 
under CJR-X. Further, since CJR-X would be expanded nationally, 
diverting care to hospitals not in the model would be less of an issue 
given CJR-X's broad scale. Because we have proposed mandatory hospital 
participation, individual beneficiaries would not be able to opt out of 
CJR-X when they receive care from a CJR-X participant. Moreover, 
allowing beneficiaries to opt out would be inconsistent with other 
Medicare policies. For example, we do not allow beneficiaries to opt 
out of a payment system, such as the IPPS. Moreover, we do not believe 
that an ability to opt out of a payment system is a critical factor in 
upholding beneficiary choice if other safeguards are in place. 
Specifically, we do not believe this would be an issue for CJR-X, given 
that this model does not increase beneficiary cost-sharing. However, 
CJR-X beneficiaries are not precluded from seeking care from providers 
or suppliers who do not participate in CJR-X. We do believe that full 
notification and disclosure of the payment model and its possible 
implications is critical for CJR-X beneficiary understanding and 
protection. It is important to create safeguards for CJR-X 
beneficiaries to ensure that care recommendations are based on clinical 
needs and not inappropriate cost savings. It is also important for CJR-
X beneficiaries to know that they can raise any concerns with their 
clinicians, with 1-800-MEDICARE, or with their local Quality 
Improvement Organizations (QIOs).
    This proposed CJR-X model would neither limit a CJR-X beneficiary's 
ability to choose providers nor limit Medicare's coverage of items and 
services available to the CJR-X beneficiary. CJR-X beneficiaries may 
continue to choose any Medicare participating provider, or any provider 
who has opted out of Medicare, with the same costs, copayments and 
responsibilities as they have with other Medicare services. As proposed 
in section X.C.2.(m) of this proposed rule, CJR-X participants would be 
subject to the standard provisions at Sec. Sec.  512.100 through 190, 
including the beneficiary protections noted in Sec.  512.120 that cover 
beneficiary freedom of choice, availability of services, and 
descriptive model materials and activities.
    Further, the proposed model would allow CJR-X participants to enter 
into CJR-X sharing arrangements with certain providers, as proposed in 
section X.C.2.i.(4) of this proposed rule, and these preferred 
providers may be recommended to CJR-X beneficiaries as long as those 
recommendations are made within the constraints of current law. 
However, CJR-X participants may not limit CJR-X beneficiaries to a 
preferred or recommended providers list that is not compliant with 
restrictions existing under current statutes and regulations.
    Moreover, as proposed in section X.C.2.i.(3) of this proposed rule, 
CJR-X participants may not charge any CJR-X collaborator a fee to be 
included on any list of preferred providers or suppliers, nor may the 
hospital accept such payments, which would be considered to be outside 
the realm of risk-sharing agreements. Thus, this proposed payment model 
does not create any restriction of beneficiary freedom to choose 
providers, including surgeons, hospitals, post-acute care or any other 
providers or suppliers. Moreover, we anticipate that care pathway 
redesign occurring in response to the model will increase coordination 
of care, improve the quality of care, and decrease cost for all 
patients, not just for Medicare beneficiaries. As it would be unlikely 
that providers would treat individuals differently based on health care 
insurance, we anticipate care delivery impacts to promote consistent 
treatment of all beneficiaries.
    We propose at Sec.  512.622(a)(1) that every CJR-X participant must 
provide written notification to each CJR-X beneficiary of his or her 
inclusion in the CJR-X model. We believe that appropriate beneficiary 
notification should explain the model, advise patients of both their 
clinical needs and their care delivery choices, and should clearly 
identify any CJR-X collaborator, as defined at Sec.  512.605. That is, 
the CJR-X participant would be required to disclose any providers, 
suppliers, or other entities with which the CJR-X participant holds a 
sharing arrangement as a ``financial partner of the hospital for the 
purposes of participation in CJR-X.''
    We believe that this notification would enhance CJR-X 
beneficiaries' understanding of their care and is an important 
safeguard for ensuring CJR-X beneficiaries receive all medically 
necessary services. It is also an important clinical opportunity to 
better engage CJR-X beneficiaries in shared decision-making and 
understanding competing benefits, even as they are presented with cost-
saving recommendations. Therefore, we propose at Sec.  512.622(a)(4) 
that the CJR-X beneficiary notification must:
     Explain the CJR-X model and how it might be expected to 
affect the CJR-X beneficiary's care;
     Inform CJR-X beneficiaries that they retain freedom of 
choice to choose providers, suppliers, and services;
     Explain how the CJR-X beneficiary can access care records 
and claims data through an available patient portal and through sharing 
access to care-givers to their Blue Button[supreg] electronic health 
information;
     Explain that CJR-X participants may receive beneficiary-
identifiable claims data;
     Advise CJR-X beneficiaries that all standard Medicare 
beneficiary protections remain in place, including the ability to 
report concerns of substandard care to QIOs and 1-800-MEDICARE; and
     Provide a list of the CJR-X collaborators with which the 
CJR-X participant has a sharing arrangement.
    We recognize that an exhaustive list of CJR-X collaborators may 
lengthen the beneficiary notification, unnecessarily. Therefore, this 
requirement may be fulfilled by the CJR-X participant including in the 
detailed notification a publicly available web address where CJR-X 
beneficiaries may access the CJR-X collaborators list.
    After carefully considering the appropriate timing and 
circumstances for the necessary CJR-X beneficiary notification, we are 
proposing at Sec.  512.622(a)(2) that CJR-X participants must provide 
the CJR-X beneficiary notification prior to discharge from either the 
anchor hospitalization or the anchor procedure for a Medicare 
beneficiary who would be included under the model. The purpose of this 
proposed policy is to ensure that all CJR-X beneficiaries receive the 
beneficiary notification materials, and

[[Page 19677]]

that they receive such materials as early as possible but no later than 
discharge from the hospital or hospital outpatient department. We 
believe that this proposal increases the likelihood that patients will 
become engaged and seek to understand CJR-X and its potential impact on 
their care, particularly in the post-discharge period.
    We also considered whether to require CJR-X participants to provide 
this information at the point of admission, as hospitals provide other 
information concerning patient rights and responsibilities at that 
time. However, we recognize that, due to a CJR-X beneficiary 's 
condition, it may not be feasible to provide notification at such time. 
We invite comment on ways in which the timing and source of beneficiary 
notification could best serve the needs of CJR-X beneficiaries without 
creating unnecessary administrative work.
    In addition, we propose at Sec.  [thinsp]512.622(b) that CJR-X 
participants must require every CJR-X collaborator to provide written 
notice, to applicable CJR-X beneficiaries that describes the existence 
of a sharing arrangement with the CJR-X participant and the basic 
quality and payment incentives under the model. We propose that the 
notice must be provided no later than the time at which the beneficiary 
first receives an item or service from the CJR-X collaborator during an 
episode. We recognize that due to the patient's condition, it may not 
be feasible to provide notification at such time, in which case the 
notification must be provided to the beneficiary or his or her 
representative as soon as is reasonably practicable. If the beneficiary 
notification policy is finalized, CMS would post a CJR-X collaborator 
template for use by CJR-X participants on the CJR-X website.
    We considered, but are not proposing, requiring the CJR-X 
beneficiary notifications only during the years that both CJR-X and 
TEAM are implemented. After TEAM ends, then we would no longer require 
CJR-X beneficiary notifications since all hospitals nationwide, barring 
any excluded hospitals from CJR-X, would be held accountable for LEJR 
episodes. We also considered, but are not proposing, not requiring the 
CJR-X beneficiary notifications. We acknowledge other CMS initiatives, 
such as the Hospital Value Based Purchasing Program or the Expanded 
Home Health Value-Based Purchasing Model, do not require entities 
participating in those initiatives to provide beneficiary 
notifications. We recognize a model that is expanded nationally, such 
as the proposed CJR-X, would become standard practice for hospitals to 
manage beneficiaries in a LEJR episode of care. Therefore, the 
beneficiaries' experience or treatment options should not materially 
change between participating hospitals, nor would beneficiaries' or 
out-of-pocket costs, freedom of choice, or access to care differ. 
Further, we recognize that beneficiaries already receive a significant 
amount of information on discharge from the hospital or hospital 
outpatient department and a beneficiary notification may go unnoticed 
or be redundant. That is because we believe the CJR-X participant would 
already be communicating to the CJR-X beneficiary the hospital's 
responsibility to manage the CJR-X beneficiary during the episode, 
including in the 90-day post-discharge period. Thus, the administrative 
burden of notification may outweigh its value.
    We invite public comment on our proposed requirements for 
notification to CJR-X beneficiaries at Sec.  512.622. We also seek 
comment on our consideration to not require CJR-X beneficiary 
notifications.
d. Proposed Episode
(1) Background
    A key design feature of episode-based payment models is the 
definition of the episodes included in the model. The episode 
definition has two significant dimensions--(1) a clinical dimension 
that describes which clinical conditions and associated services are 
included in the episode; and (2) a time dimension that describes the 
beginning and end of the episode, its length, and when the episode may 
be cancelled prior to the end of the episode.
    In testing payment models, we recognize the importance of there 
being clear potential for participating hospitals to successfully drive 
care improvements by streamlining care pathways and transitions between 
clinical settings. We aim to design models with episodes that are 
clinically similar, for which episode spending is more predictable. We 
also note that episodes with a greater proportion of spending in the 
post-acute period relative to the anchor hospitalization or procedure 
offer greater opportunity for improved care transitions for 
beneficiaries to reduce unnecessary hospitalizations and emergency 
care.
    Given the promising findings for LEJR in the CJR Model and BPCI 
Advanced, we believe there is value in an expansion of the CJR Model 
test through CJR-X, particularly given the high volume of LEJR 
procedures among the Medicare population. Based on 2021 Medicare claims 
data, LEJR episodes were the highest volume, highest cost of the BPCI 
Advanced surgical episode categories. There were 204,160 episodes with 
a total cost of $5.01 billion, with more than 40 percent of spending 
occurring in the post-acute period. Moreover, based on the CJR Model 
evaluation, LEJR episodes continue to offer opportunities for 
improvement.
(2) Clinical Dimension of Episode
(a) Episode Definition (LEJR)
    We propose to define ``episode'' to mean all Medicare Part A and B 
items and services described in Sec.  512.625(b) (and excluding the 
items and services described in Sec.  512.625(c)) that are furnished to 
a beneficiary described in Sec.  512.620 during the time period that 
begins on the date of the beneficiary's admission to an anchor 
hospitalization or the date of the anchor procedure, as described at 
Sec.  512.625(a), and ends on the 90th day following the date of 
discharge from the anchor hospitalization or anchor procedure, with the 
date of discharge or date of the anchor procedure itself being counted 
as the first day in the 90-day post-discharge period, as described at 
Sec.  512.630. In the case that an anchor hospitalization for the same 
episode type occurs within 3 days of an anchor procedure (for example, 
an outpatient procedure is later converted to an inpatient admission), 
the anchor procedure episode is canceled, and the episode start date 
for the anchor hospitalization is the same as the outpatient procedure. 
This episode definition aligns with the CJR Model and with TEAM, at 
Sec.  510.2 and Sec.  512.505, respectively, which provides consistency 
across Innovation Center models. In addition, this proposed policy 
aligns with Medicare's 3-day payment guidelines that require hospitals 
to bundle the technical component of outpatient services with the 
inpatient claim if they are related to the same condition and occur in 
the 3 days preceding inpatient admission, in compliance with section 
1886 of the Act.
    We seek comment on our proposed episode definition at Sec.  
512.605.
(b) Episode Identification (MS-DRG/HCPCS)
    We believe that a straightforward approach for identifying CJR-X 
episodes is important for the care redesign that is required for model 
success. As was done in the CJR Model, hospitals participating in the 
proposed CJR-X would be able to identify episodes

[[Page 19678]]

through the MS-DRG of the anchor hospitalization or by the Healthcare 
Common Procedure Coding System (HCPCS) codes for hospital outpatient 
procedures, allowing active coordination of beneficiary care during and 
after the anchor procedure or anchor hospitalization. We believe 
identifying LEJR episodes with MS-DRGs or HCPCS codes is a reasonable 
approach especially given LEJR is a procedural episode, making CJR-X 
beneficiary identification easier at the time of hospital inpatient or 
hospital outpatient department admission. This approach offers 
operational simplicity for providers and CMS, and is consistent with 
the approach taken by BPCI Advanced and the CJR Model to identify 
beneficiaries whose care is included in those episodes. We note that 
there may be times an episode initiating code, such as an included MS-
DRG, changes after the CRJ-X beneficiary is discharged. For example, 
the inpatient LEJR procedure generally determines the ultimate MS-DRG 
assignment for the hospitalization. However, depending on the 
beneficiary's principal and secondary diagnoses and other procedures 
received during the inpatient stay, the final MS-DRG assigned to the 
inpatient stay may not be the LEJR procedure, then the episode would 
not be picked up for CJR-X.\464\ In those instances, CJR-X participants 
could rely on data shared by CMS, in accordance with a CJR-X data 
sharing agreement and attestation, to confirm episode attribution, as 
described in section X.C.2.k. of this proposed rule.
---------------------------------------------------------------------------

    \464\ Medical Severity Diagnosis Related Groups (MS-DRGs): 
Definitions Manual. Version 33.0A. 3M Health Information Systems. 
(October 1, 2015). https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/FY2016-IPPS-Final-Rule-Home-Page-Items/FY2016-IPPS-Final-Rule-Data-Files.html.
---------------------------------------------------------------------------

    We propose to identify LEJR episodes by certain MS-DRGs and HCPCS 
codes included on claims. Specifically, IPPS discharges under MS-DRG 
469, 470, 521, or 522; and OPPS claims for HCPCS codes 27130 or 27447, 
would trigger LEJR episodes in CJR-X. This approach offers operational 
simplicity for both providers and CMS and is consistent with the 
approach taken by previous models to identify episodes.
    We seek comment on our proposal at Sec.  512.625(a) to identify 
LEJR episodes with MS-DRGs and HCPCS in CJR-X.
(3) Scope of Episode
    We propose that, consistent with the CJR Model, LEJR episodes in 
CJR-X would include inpatient hip, knee, and ankle replacement 
procedures paid through the IPPS under select MS-DRGs and hospital 
outpatient hip and knee replacement procedures billed under select 
HCPCS codes through the OPPS. We propose to exclude from CJR-X ankle 
replacements performed in the outpatient setting. Total ankle 
arthroplasty (TAA) was on the IPO list until 2021 and, therefore, was 
not included in BPCI Advanced or the CJR Model. Although we did 
consider including outpatient TAAs in CJR-X, to do so at this time 
would represent too great a departure from the CJR Model to meet the 
limits of OACT certification. However, we are currently testing 
outpatient TAAs, as identified by HCPCS code 27702, in TEAM. If we 
consider adding outpatient TAAs to CJR-X at some point in the future 
based on TEAM evaluations, we would propose that change through notice 
and comment rulemaking.
    We seek comment on the MS-DRG and HCPCS codes proposed for 
inclusion in CJR-X at Sec.  512.625(a) and our proposal to exclude 
outpatient TAA from the LEJR episode category.
(a) Episode Initiation
    We propose that, if a beneficiary meets the beneficiary inclusion 
criteria at Sec.  512.620, an LEJR episode would begin when a 
beneficiary is admitted for an anchor hospitalization for one of the 
following MS-DRGs or an anchor procedure indicated by one of the 
following HCPCS codes on an outpatient claim (specifically, a 
hospital's institutional claim for an included outpatient procedure 
billed through the OPPS):
    MS-DRGs and HCPCS--
     469 (Major joint replacement or reattachment of lower 
extremity with major complications or comorbidities (MCC)).
     470 (Major joint replacement or reattachment of lower 
extremity without MCC).
     521 (Hip replacement with principal diagnosis of hip 
fracture with MCC).
     522 (Hip replacement with principal diagnosis of hip 
fracture without MCC).
     27447 (Total knee arthroplasty).
     27130 (Total hip arthroplasty).
    We propose that the episode start date would be the day of the 
anchor procedure for outpatient procedures and the date of admission 
for an inpatient hospitalization. However, if an anchor hospitalization 
is initiated on the same day as or within 3 days of an outpatient LEJR 
procedure, we propose to begin the episode on the date of the 
outpatient procedure rather than the date of the inpatient admission.
    We recognize there could potentially be episodes initiated as a 
result of a beneficiary being transferred from one CJR-X participant 
hospital to another. In this case, and in alignment with the CJR Model 
and TEAM, these would be viewed as two separate hospitalizations. 
Specifically, if the initial inpatient admission is for an MS-DRG in 
CJR-X, then a transfer to another hospital would not initiate a new 
anchor hospitalization, rather it would be included in the LEJR episode 
initiated from the first hospitalization. However, if a beneficiary is 
admitted to a hospital for an MS-DRG not included in CJR-X, and 
subsequently transferred to another CJR-X hospital from which they are 
discharged under an MS-DRG that is included in CJR-X, the second 
hospitalization would initiate the LEJR episode at the second CJR-X 
hospital.
    We seek comment on our proposal at Sec.  512.630(c) for initiating 
CJR-X episodes.
(b) Items and Services Included in the Episode
    Like previous episode-based payment models, CJR-X would incentivize 
comprehensive, coordinated, patient-centered care through inclusive 
episodes. We propose to include in the episode all items and services 
paid under Medicare Part A and Part B during the performance period, 
unless such items and services fall under a proposed exclusion 
described in section X.C.2.d.(3)(c). of this proposed rule.
    We propose to include all Part A services furnished during the 90-
day post-discharge period of the episode, other than certain excluded 
hospital readmissions, as including post-discharge Part A services, 
such as post-acute care, would ensure the episode is comprehensive in 
nature. In particular, we believe that claims for services with 
diagnosis codes that are directly related to LEJR episodes or the 
quality and safety of care furnished during the episode (for example, 
surgical would infection) should be included in an episode. Thus, we 
propose that items and services for episodes would include all items 
and services paid under Medicare Part A and Part B, subject to the 
proposed exclusions in section X.C.2.d.(3)(c) of this proposed rule. 
For example, the following is a non-exhaustive list of services 
included in episodes:
     Physicians' services.
     Inpatient hospital services, including services paid 
through IPPS operating and capital payments.
     Inpatient psychiatric facility (IPF) services.

[[Page 19679]]

     Long-Term Care Hospital (LTCH) services.
     Inpatient Rehabilitation Facility (IRF) services.
     Skilled Nursing Facility (SNF) services.
     Home Health Agency (HHA) services.
     Hospital outpatient services.
     Outpatient therapy services.
     Clinical laboratory services.
     Durable medical equipment.
     Part B drugs and biologics except for those excluded under 
Sec.  512.625(c) as proposed.
     Hospice services.
     Part B professional claims dated in the 3 days prior to an 
anchor hospitalization if a claim for the surgical procedure is not 
detected as part of the hospitalization because the procedure was 
performed by the participant on an outpatient basis but the patient was 
subsequently admitted as an inpatient.
    These items and services are similar to those included in the CJR 
Model and reflect the full range of Medicare-covered services that 
would be furnished to a CJR-X beneficiary during an episode. As joint 
replacement episodes frequently involve services across multiple 
providers and settings, we believe excluding these services would 
fragment financial accountability and undermine the model's ability to 
promote care coordination and cost containment. Moreover, including 
these services aligns incentives for hospitals to manage transitions of 
care, post-acute utilization, and complication-related services.
    We seek comment on the items and services we are proposing to 
include in CJR-X at Sec.  512.625(b).
(c) Excluded Items and Services
    We propose to exclude from episodes certain Part A and B items and 
services that are clinically unrelated to an LEJR procedure. The 
proposed exclusions would be applicable to episodes included during the 
baseline period, the three-year historical period used to construct 
target prices, as described in section X.C.2.f.(3)(a). of this proposed 
rule, and episodes initiated during a performance year. We propose to 
use these exclusions based on several years of experience with them and 
their suitability for LEJR episodes. The rationale for the proposed 
exclusions is consistent with the rationale for exclusions in the CJR 
Model (80 FR 73303) and TEAM (89 FR 69722) but differ slightly from 
both.
    We propose to exclude from episodes all Part A and B items and 
services for hospital admissions and readmissions, for both the 
baseline period and performance years, for specific categories of 
diagnoses, such as oncology, trauma medical admissions, organ 
transplant, and ventricular shunts determined by MS-DRGs, as well as 
all of the following excluded Major Diagnostic Categories (MDC): \465\
---------------------------------------------------------------------------

    \465\ MDCs are formed by dividing all possible principal 
diagnoses (from ICD-10-CM) into 25 mutually exclusive diagnosis 
areas. The diagnoses in each MDC correspond to a single organ system 
or etiology and in general are associated with a particular medical 
specialty.
---------------------------------------------------------------------------

     MDC 02 (Diseases and Disorders of the Eye).
     MDC 14 (Pregnancy, Childbirth, and Puerperium).
     MDC 15 (Newborns).
     MDC 25 (Human Immunodeficiency Virus).
    We propose to exclude from episodes IPPS new technology add-on 
payments for drugs, technologies, and services identified by value code 
77 on IPPS hospital claims for episodes in the baseline period and 
performance years.\466\ New technology add-on payments are made 
separately and in addition to the MS-DRG payment under the IPPS for 
specific new drugs, technologies, and services that substantially 
improve the diagnosis or treatment of Medicare beneficiaries and would 
be inadequately paid under the MS-DRG system. We believe this exclusion 
would reduce the potential for CJR-X to diminish beneficiaries' access 
to new technologies or burden hospitals with concern about the payments 
for these new drugs, technologies, or services counting toward CJR-X 
participants' actual episode spending. Additionally, new drugs, 
technologies, or services approved for the add-on payments vary 
unpredictably over time in their application to specific clinical 
conditions. In addition, maintaining this exclusion from CJR-X episodes 
would align with the CJR Model (80 FR 73303 through 73304 and 73315).
---------------------------------------------------------------------------

    \466\ This exclusion is applied during the payment 
standardization process.
---------------------------------------------------------------------------

    We also propose to exclude from episodes OPPS transitional pass-
through payments for medical devices as identified through OPPS status 
indicator H for episodes in the baseline period and performance years. 
Through the established OPPS review process, we have determined that 
these technologies have a substantial cost but also lead to substantial 
clinical improvement for Medicare beneficiaries. This proposal is 
consistent with the CJR Model final exclusions policy (80 FR 73308 and 
73315).
    We propose to exclude hemophilia clotting factors (Sec.  412.115), 
identified through HCPCS code, diagnosis code, and revenue center on 
IPPS claims for episodes in the baseline period and performance years. 
In contrast to other drugs and biologics that are administered during 
an inpatient hospitalization and paid through the MS-DRG, hemophilia 
clotting factors are paid separately by Medicare in recognition of 
clotting factors being costly, yet essential, to care for certain 
beneficiaries. Because we do not believe that there are any spending 
efficiencies to be gained by including hemophilia clotting factors, we 
propose to exclude these high-cost drugs from episodes initiated during 
the baseline period and performance year.
    We also propose to exclude from episodes certain Part B payments 
for high-cost drugs and biologics, low-volume drugs, and blood clotting 
factors for hemophilia patients billed on outpatient, carrier, and 
durable medical equipment claims for episodes in the baseline period 
and initiated in the performance years.\467\ These high-cost items are 
essential to appropriate care of certain beneficiaries and we do not 
believe including them in the episode would improve any spending or 
quality of care efficiencies. Specifically, this proposed list would 
include all of the following:
---------------------------------------------------------------------------

    \467\ To determine if a drug HCPCS meets the cost or volume 
thresholds for exclusion, the episodes are pooled across all episode 
categories.
---------------------------------------------------------------------------

     For episodes included during the baseline period--
    ++ Drug/biologic HCPCS codes that are billed in fewer than 31 
episodes in total across all episodes in CJR-X during the baseline 
period;
    ++ Drug/biologic HCPCS codes that are billed in at least 31 
episodes in the baseline period, and have a mean allowed cost of 
greater than $25,000 per episode in the baseline period; and
    ++ HCPCS codes corresponding to clotting factors for hemophilia 
patients, identified in the quarterly average sales price file for 
certain Medicare Part B drugs and biologics as HCPCS codes with 
clotting factor = 1, HCPCS codes for new hemophilia clotting factors 
not in the baseline period, and other HCPCS codes identified as 
hemophilia.\468\
---------------------------------------------------------------------------

    \468\ https://www.cms.gov/medicare/payment/all-fee-service-providers/medicare-part-b-drug-average-sales-price/asp-pricing-files.
---------------------------------------------------------------------------

     For episodes initiated during a performance year, in 
addition to those listed in the previous bullet, Part B payments for 
high-cost drugs and biologics, low-volume drugs, and blood clotting 
factors for hemophilia billed on outpatient, carrier, and durable 
medical equipment (DME) claims, including, but not limited to--

[[Page 19680]]

    ++ Drug/biologic HCPCS codes that were not included in the baseline 
period, and appear in 10 or fewer episodes in the performance year;
    ++ Drug/biologic HCPCS codes that were not included in the baseline 
period, appear in more than 10 episodes in the performance year, have a 
mean cost of greater than $25,000 per episode in the performance year;
    ++ Drug/biologic HCPCS codes that were not included in the baseline 
period, appear in more than 10 episodes in the performance year, have a 
mean cost of $25,000 or less per episode in the performance year, and 
correspond to a drug/biologic that appears in the baseline period list 
but was assigned a new HCPCS code between the baseline period and 
performance year; and
    ++ HCPCS codes for new hemophilia clotting factors not in the 
baseline period.
    Complete lists of proposed excluded MS-DRGs for readmissions and 
proposed excluded HCPCS codes for Part B services furnished during 
episodes after beneficiary discharge from an anchor hospitalization 
would be posted on the CMS CJR-X web page within the Innovation Center 
website at https://innovation.cms.gov. The methodology to identify 
excluded items and services would apply to all performance years of the 
model, and lists would be shared with CJR-X participants on the CJR-X 
web page around the time preliminary target prices are released. Lists 
would be updated after the performance year concludes to account for 
the performance year exclusions proposed in the previous paragraph. We 
propose that revisions to the exclusion lists, such as adding MS-DRGs 
not covered by oncology, trauma medical admissions, organ transplant, 
and ventricular shunts, would be initiated through notice and comment 
rulemaking to allow for public input.
    We seek comment on the proposed excluded services, the lists of 
excluded services, and the process for updating the lists of excluded 
services for CJR-X included in Sec. Sec.  512.625(c), (d), and (e).
(d) Episode Duration
    The proposed episodes would cover the surgical procedure and a 
subsequent period that is marked by significant PAC needs, potential 
complications of surgery, and short-term, intense management of chronic 
conditions that may be destabilized by a joint replacement. We believe 
that hospitals have substantial ability to influence the quality and 
efficiency of care that Medicare beneficiaries receive over the weeks 
and months following a procedure. For this reason, the CJR Model 
utilized a 90-day post-discharge episode duration. It is during this 
period that beneficiaries are provided the most intensive care for 
their recovery, including physical therapy and interventions to prevent 
complications. Notably, the professional payments to the surgeon under 
the PFS for the procedures included in LEJR are also paid as a global 
payment covering a 90-day period.
    The 90-day episode tested under the CJR Model demonstrated savings 
while maintaining quality, although some stakeholders have stated a 
shorter episode length would be more appropriate. Specifically, shorter 
episodes exhibit less spending variability due to medical events 
outside the intended scope of the model and conditions unrelated to the 
joint replacement become more prevalent in the later stage of an 
episode. In addition, longer episodes increase the potential for ACO 
overlap (where a beneficiary aligned or assigned to an ACO has an 
episode included in CJR-X). In the TEAM final rule (89 FR 69727), we 
agreed that a 30-day episode could position the specialist as the 
principal provider near the anchor event with a hand-off back to the 
primary care provider for longitudinal care management and we believe 
that ACOs are better equipped to address the population health needs of 
Medicare beneficiaries. For these reasons, the Innovation Center is 
currently testing a 30-day episode duration in TEAM. Through future 
evaluations and direct comparison between TEAM and CJR-X, we can 
determine the optimal episode length to balance spending reductions and 
outcomes.
    Based on the rationale noted earlier, we propose to end episodes 90 
days after discharge from the anchor hospitalization or anchor 
procedure and that day 1 of the 90-day post-acute portion of the 
episode is the date of the anchor procedure or the date of discharge 
from an anchor hospitalization. To the extent that a Medicare payment 
for services included in an episode spans a period of care that extends 
beyond the episode duration, we propose that these payments would be 
prorated so that only the portion attributable to care during the fixed 
duration of the episode is attributed to the episode spending.
    We seek comment on our proposal at Sec.  512.630(d) to maintain a 
90-day post-discharge episode length.
(e) Episode Termination
    Similar to the CJR Model, we propose that, once an episode begins, 
the episode would continue until the end of the episode as described in 
section X.C.2.d.(3)(d). of this proposed rule, unless the episode is 
cancelled for certain reasons.
    First, an episode would be canceled if the beneficiary ceases to 
meet any of the general beneficiary inclusion criteria described in 
section X.C.2.c. of this proposed rule. When a beneficiary's status 
changes during the episode, the episode target price would still 
reflect full payment for the episode. However, we would not have full 
Medicare episode payment data for the beneficiary to reconcile against 
the target price. Therefore, the episode would be canceled.
    Second, in the case that a beneficiary has a subsequent inpatient 
admission for an episode on the same day as or within 3 days of an 
outpatient LEJR procedure, the outpatient episode would not initiate an 
anchor procedure and the outpatient procedure would instead initiate an 
anchor hospitalization. That is, the anchor hospitalization start date 
will be that of the outpatient procedure. We are proposing this policy 
because we believe that an inpatient episode should take precedence 
over an outpatient procedure performed on the same day, given the 
likelihood of higher spend associated with the inpatient episode and 
potential for higher clinical acuity.
    Third, we propose to cancel the episode if a beneficiary dies at 
any point during the CJR-X episode. As discussed in the EPM proposed 
rule (81 FR 50841), we consider mortality to be a harmful beneficiary 
outcome that should be targeted for improvement through care redesign. 
We also believe holding participants responsible for episodes during 
which a beneficiary dies could encourage participants to actively 
reduce beneficiaries' risk of death. However, we acknowledge that the 
likelihood that a death that is unrelated to an LEJR procedure occurs 
is increased the further out from the anchor procedure or anchor 
hospitalization. Therefore, we believe that holding participants 
responsible for death during a 90-day episode would create too much 
uncertainty and variability for participants.
    We note that TEAM only cancels episodes if death occurs during the 
anchor hospitalization or anchor procedure, but not if the death occurs 
in the post-discharge period (89 FR 69730). As we discussed in the CJR 
final rule (80 FR 73318), there would be limited incentive for 
efficiency that could be expected when death occurs during the anchor 
hospitalization itself. We considered aligning the CJR-X policy

[[Page 19681]]

with TEAM, but believe that this policy is appropriate for a 30-day 
episode where the cause of death during the post-discharge period is 
more likely to be related to the index procedure than in a 90-day 
episode. Therefore, we are not proposing for CJR-X to only cancel 
episodes for a death that occurs during the anchor hospitalization or 
anchor procedure. Rather, we would cancel any episode during which a 
death occurs during the anchor hospitalization, anchor procedure, or 
post-discharge period.
    Finally, we propose that episodes subject to extreme and 
uncontrollable circumstances (EUC) would be canceled, meaning that the 
services associated with the episode would continue to be paid through 
Original Medicare, but the episode would not be reconciled against a 
target price. We propose to base the CJR-X EUC definition on the 
definition finalized in the CJR 2018 final rule (83 FR 26604), which 
was designed to address the extreme and uncontrollable costs associated 
with natural disasters such as hurricanes, flooding, and wildfires. 
Specifically, we propose that the EUC policy would apply to CJR-X 
participants with a CCN address located in a county where both: (1) a 
major disaster has been declared under the Stafford Act; and (2) 
section 1135 waivers have been issued. We believe that it is 
appropriate for our EUC policy to apply only in the narrow circumstance 
of a major disaster, which is catastrophic in nature and tends to have 
significant impacts on infrastructure, rather than the broader grounds 
for which an emergency could be declared.
    We considered alternative approaches to EUC policy that would allow 
mandated participants to meet the model's objectives when one or more 
campuses of a hospital system is in a disaster area but would fail to 
meet the requirements set forth here. Specifically, we recognize that 
some hospital systems span across regions or state lines and a location 
that is not identified by the ``CCN address'' could be in a disaster 
area. Therefore, we considered alternative methods of identifying CJR-X 
participants at an individual level using NPI, TIN, or a combination of 
CCN and another identifier. While we are proposing to continue using 
CCN address until and unless an alternative is determined to be 
appropriate, any change would first be proposed through notice and 
comment rulemaking.
    Separately, we acknowledge that stakeholders have requested that 
emergency flexibilities be extended to cybersecurity attacks. We also 
realize that the difficulties such a scenario would cause for CJR-X 
participants would extend well beyond this model. Therefore, we would 
consider conforming to any future CMS policy that addresses emergent 
cybersecurity issues, as needed, through future notice and comment 
rulemaking.
    We acknowledge this proposed EUC policy deviates from how the CJR 
Model addressed the COVID-19 PHE which fell under a major disaster 
declaration. During the PHE, the CJR Model effectively waived downside 
risk, which resulted in substantial losses to Medicare. We believe our 
proposed policy to cancel the episode, rather than waive downside risk, 
is a better long-term policy that avoids significant losses and gives 
flexibility to the CJR-X participant to manage a beneficiary's care and 
rely on FFS payments rather than be held accountable to spend below a 
target price. In regard to determining the start date of episodes to 
which the EUC would apply, we believe that episodes initiated during an 
emergency period or in the 30 days before the start date of an 
emergency period (as defined in section 1135(g) of the Act) should 
reasonably capture those beneficiaries whose high episode costs could 
be attributed to extreme and uncontrollable circumstances.
    We also propose canceling a CJR-X episode if the beneficiary is in 
in the 30-day post-discharge period following a TEAM anchor 
hospitalization or anchor procedure (that is, for an episode at a non-
CJR-X hospital). Further discussion of this proposal is discussed in 
section X.C.2.h.(2). of this proposed rule.
    In summary, we propose that the following circumstances would 
cancel an episode:
     The beneficiary no longer meets the criteria for 
inclusion.
     The beneficiary dies during the episode.
     The CJR-X participant is subject to the EUC policy.
     The beneficiary is in a TEAM episode and has a LEJR 
procedure at a CJR-X participant during the 30-day post-discharge 
period after a TEAM anchor hospitalization or anchor procedure.
    When an episode is canceled, we propose that the services furnished 
to beneficiaries prior to and following the episode cancellation would 
continue to be paid by Medicare as usual but there would be no episode 
spending calculation that would be reconciled against the target price 
(see section X.C.2.f.(5). of this proposed rule). As discussed in 
section X.C.2.j. of this proposed rule, waivers of program rules 
applicable to beneficiaries in episodes would apply to the care of 
beneficiaries who are in episodes at the time the waiver is used to 
bill for a service that is furnished, even if the episode is later 
canceled.
    We seek comment on our proposal at Sec.  512.630(e) to cancel 
episodes once they have begun but prior to the end of the 90-day post-
discharge period under certain conditions.
e. Proposed Quality Measures and Scoring
(1) Background
    The Medicare Modernization Act of 2003, the Affordable Care Act of 
2010, and the Tax Relief and Healthcare Act of 2006 led to the 
implementation of several hospital quality reporting programs where 
payment reflects the quality of care delivered to Medicare 
beneficiaries. The CJR Model also tied quality to payment. We believe 
that future episode-based payment models, including the proposed CJR-X, 
should continue to link quality and payment to ensure ongoing 
incentives to improve patient outcomes and lower health care spending. 
This would be particularly important in an expanded model where some 
CJR-X participants will be new to episode-based payment models.
    The CJR Model relied on data already reported to the Hospital 
Inpatient Quality Reporting (IQR) Program (section 1886(b)(3)(B)(viii) 
of the Act) to assess quality without additional reporting burden for 
CJR participants. Measures used in the CJR Model included a joint 
replacement-specific measure and a general patient experience survey of 
the hospital stay. Specifically, the CJR Model utilized the Hospital-
level Risk-Standardized Complication Rate (RSCR) following elective 
primary Total Hip Arthroplasty (THA) and/or Total Knee Arthroplasty 
(TKA) and the Hospital Consumer Assessment of Healthcare Providers and 
Systems (HCAHPS) Survey measure, further discussed in Section 
X.C.2.e.(3) of this proposed rule. In addition to the two HIQR 
measures, the CJR Model offered participants an opportunity to receive 
additional points towards their quality score for voluntarily 
submitting THA/TKA patient-reported outcomes (PROs) and limited risk 
variable data following eligible elective primary THA/TKA procedures.
(2) Selection of Proposed Quality Measures
    We expect CJR-X will incentivize hospitals to engage in care 
redesign activities to reduce post-surgical complications and hospital 
readmissions and enhance patient

[[Page 19682]]

experience and outcomes for Medicare beneficiaries undergoing joint 
replacement surgery. Moreover, achieving savings while continuing to 
ensure high-quality care for Medicare beneficiaries will require close 
collaboration among hospitals, physicians, PAC providers, and other 
clinicians.
    The quality measures we are proposing for CJR-X are a natural 
outgrowth of the CJR Model and maintain focus on patient safety, 
patient experience, and health outcomes for beneficiaries undergoing 
hip and knee arthroplasty. The proposed measures will sustain efforts 
to improve quality and health outcomes across a beneficiary's care 
journey and incentivize hospitals to better align and coordinate care 
across various programs and care settings. We believe the measures used 
for CJR (80 FR 73465 through 73507) remain appropriate for assessing 
care and propose to continue utilizing those measures for inpatient 
LEJR episodes in CJR-X. However, we propose two notable variations from 
the CJR Model measures, which are discussed in detail in sections 
X.C.2.e.(3). of this proposed rule.
    First, we propose to weight the THA/TKA PRO more heavily. CMS is 
committed to increased use of PROs, whenever possible, as these 
measures provide valuable insights into the patient's perspective of 
care received. PROs assessing health status as a result of care are a 
critical type of outcome needed for health care quality assessment. The 
use of PRO measures (PROMs), standardized instruments that query 
patients' self-assessments of their health, provide a direct way to 
capture patients' experience of care and the results of that care. 
PROMs can assess multiple health domains, including physical health, 
emotional well-being, and social functioning through measuring outcomes 
relevant to each domain, such as symptoms, functional status, and 
mental status. As a result, they provide rich information on how care 
affects multiple dimensions of patients' well-being.
    Broadly, patient-reported data includes PROs and electronic PROs 
(ePROs), which is the electronic capture of this data; PROMs, which 
reflect how the PRO data is reported (for example, a survey or 
questionnaire); and patient-reported outcome-based performance measures 
(PRO-PMs), which are reliable and valid quality measures of aggregated 
PRO data reported through a PROM and potentially used for performance 
assessment. In support of this goal, the HIQR now includes a THA/TKA 
PRO performance measure (PRO-PM), which was developed using the PRO 
data voluntarily submitted under the original CJR Model. Therefore, 
CJR-X would use THA/TKA PRO-PM data submitted to the HIQR for the 
purpose of scoring model performance.
    Second, CJR-X would adopt two additional measures to account for 
the high percentage of hospital outpatient LEJRs procedures. Outpatient 
same-day surgery has become commonplace in the United States. Nearly 70 
percent of all surgeries are now performed in the outpatient setting. 
In fact, by the end of the CJR Model, outpatient procedures accounted 
for nearly three in four THA and TKA episodes. For this reason, we 
believe it necessary to supplement the previous measure set to include 
metrics which capture complications and patient experience related to 
outpatient surgery. Therefore, we propose to use additional quality 
measures that are currently reported under the Hospital Outpatient 
Quality Reporting (HOQR) Program (section 1833(t)(17)(C) of the Act).
    The proposed measures would be used to determine hospital quality 
of care in the form of a composite quality score (CQS), as described in 
section X.C.2.e.(5). of this proposed rule. As observed in the 7th 
annual evaluation of the CJR model, the proportion of hospitals 
achieving ``Good'' or ``Excellent'' quality ratings has increased over 
the course of the CJR Model.\469\ However, there is continued 
opportunity for quality improvement. Similar to the CJR Model, the CQS 
would be used to adjust the discount factor, as described in section 
X.C.2.f.(3)(g). of this proposed rule, that is applied to the CJR-X 
participants' reconciliation target price, as specified in section 
X.C.2.f.(5)(e). of this proposed rule, during the reconciliation 
process to tie quality performance to payment.
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    \469\ Comprehensive Care for Joint Replacement Model--Seventh 
Annual Report, December 3, 2025. https://www.cms.gov/priorities/innovation/innovation-models/cjr.
---------------------------------------------------------------------------

    The measures we propose are as follows:
     Hospital-level Risk-Standardized Complication Rate (RSCR) 
following elective primary Total Hip Arthroplasty (THA) and/or Total 
Knee Arthroplasty (TKA).
     Hospital Visits Within 7 days of Hospital Outpatient 
Department (HOPD) Surgery.
     Hospital Consumer Assessment of Healthcare Providers and 
Systems Survey (HCAHPS).
     Outpatient and Ambulatory Surgery Consumer Assessment of 
Healthcare Providers and Systems Survey (OAS CAHPS).
     Hospital-Level Total Hip and/or Knee Arthroplasty (THA/
TKA) Patient Reported Outcome (PRO)-Based Performance Measure.
    We believe the CJR-X proposed measure set would provide CMS with 
sufficient information to monitor quality performance related to care 
provided to beneficiaries undergoing a hip or knee replacement and for 
the purposes of model evaluation. However, should we determine the need 
to adjust the measure set in future performance years, we would propose 
any changes through notice and comment rulemaking.
    We seek comment on additional measures that should be considered 
for CJR-X.
(3) Proposed Quality Measures
(a) Hospital-Level Risk-Standardized Complication Rate (RSCR) Following 
Elective Primary Total Hip Arthroplasty (THA) and/or Total Knee 
Arthroplasty (TKA) (CMIT ID #350)
    THA and TKA are commonly performed procedures for the Medicare 
population that improve quality of life and are generally considered 
safe. However, as discussed in the 2015 CJR final rule (80 FR 73473 
through 73477), post-operative complications related to these 
procedures do exist. The hospital-level risk-standardized complication 
rate (RSCR) following elective primary THA and/or TKA, also referred to 
as the THA/TKA Complications measure, was finalized for use in the CJR 
Model to measure a hospital's rate of mortality, myocardial infarction, 
pneumonia, sepsis, pulmonary embolism, bleeding, infection, and 
mechanical failure following inpatient surgery.470 471 
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    \470\ ``Primary'' refers to an initial joint replacement. The 
measure does not assess revision joint replacement procedures.
    \471\ Hospital-Level, Risk-Standardized Complication Rate (RSCR) 
Following Elective Primary Total Hip Arthroplasty (THA) and/or Total 
Knee Arthroplasty (TKA), Centers for Medicare & Medicaid Services 
Measures Inventory Tool, CMIT Measure ID 350. https://cmit.cms.gov/cmit/#/FamilyView?familyId=350.
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    The goal of this measure is to improve patient outcomes by 
providing patients, physicians, hospitals, and policy makers with 
information about complication rates following inpatient primary 
elective THA and/or TKA at a given hospital. Measurement of patient 
outcomes allows for a broad view of quality of care that encompasses 
more than what can be captured by individual process-of-care measures. 
Complex and critical aspects of care, such as communication between 
providers, prevention of and response to complications, patient safety, 
and coordinated transitions to the outpatient

[[Page 19683]]

environment, all contribute to patient outcomes but are difficult to 
measure by individual process measures. The goal of outcomes 
measurement is to risk-adjust for patient conditions at the time of 
hospital admission and then evaluate patient outcomes. The measure was 
developed to identify institutions whose performance is better or worse 
than would be expected based on their patient case mix, promote quality 
improvement, and better inform consumers about care quality.
    The THA/TKA Complications measure captures the most common 
complications following inpatient THA and TKA. The outcome 
(complication) is defined as any one of the specified complications 
(not already present on admission) that occurs from the date of 
admission to 90 days following admission. Complications are counted in 
the measure only if they occur during the index hospital admission or 
during a readmission. The complication outcome is a dichotomous (yes/
no) outcome. If a patient experiences one or more of these 
complications in the applicable time period, the complication outcome 
for that patient is counted in the measure as a ``yes'': acute 
myocardial infarction (AMI), pneumonia or other acute respiratory 
complication, or sepsis/septicemia/shock during the index admission or 
within seven days of the start of the index admission; surgical site 
bleeding or other surgical site complication, pulmonary embolism, or 
death during the index admission or within 30 days of the start of the 
index admission; mechanical complication or periprosthetic joint 
infection/wound infection or other wound complication during the index 
admission or within 90 days of the start of the index admission.\472\
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    \472\ Exception: Subsequent inpatient admissions with a 
principal diagnosis code of COVID-19 (U07.1) or with a secondary 
diagnosis code of COVID-19 coded as present on admission on the 
claim within the seven/30-day time frames are not eligible for use 
by the measure (and are excluded) in determining whether AMI, 
pneumonia or other acute respiratory complication, sepsis/
septicemia/shock, or pulmonary embolism occurred. The code list used 
to define the ``Mechanical Complication'' outcome includes 26 codes 
that reflect fractures of the pelvis, femur, tibia or fibula, or 
other bone following insertion of an orthopedic implant as well as 
periprosthetic fractures around the internal prosthetic joint.
---------------------------------------------------------------------------

    In the 2015 CJR final rule (80 FR 73473 through 73477), we 
described our reasoning for adopting the THA/TKA Complications measure. 
We shared historical information about the development of the measure, 
its implementation in CMS programs, and its public display. Our 
rationale for its continued use is unchanged. Given the clinical 
alignment with the LEJR episode and its use in the CJR Model, the 
measure is well established and minimizes complexity since it is 
familiar to hospitals. Further, the measure reflects the full episode 
of care, and, given it is risk-standardized, reduces the incentive to 
avoid higher-risk patients. We believe this measure is beneficially 
actionable, at both the hospital and care team level, to influence 
performance through preoperative optimization, standardizing 
perioperative protocols, and incorporating post-acute care coordination 
and early complication management.
    Therefore, we propose at Sec.  512.635(a)(1) to use hospital-level 
RSCR following elective inpatient primary THA and/or TKA (CMIT ID #350) 
to assess episode quality performance starting in PY1 of CJR-X. We seek 
comment on the inclusion of this measure in the CJR-X measure set.
(b) Hospital Visits Within 7 Days of Hospital Outpatient Department 
(HOPD) Surgery (CMIT ID #344, OP-36)
    There are well-described and potentially preventable adverse events 
that occur after outpatient surgery, such as uncontrolled pain, urinary 
retention, infection, bleeding, and venous thromboembolism, which can 
result in unexpected hospital visits. Similarly, non-clinical patient 
considerations, such as lack of transport home upon discharge and 
delayed start of surgery, are primary causes of unanticipated yet 
preventable hospital admissions following same-day surgery.
    National estimates of hospital visit rates following surgery vary 
from 0.5 to 9.0 percent based on the type of surgery, outcome measured 
(admissions alone or admissions and emergency department visits), and 
timeframe for measurement after surgery. Additionally, these rates may 
vary among HOPDs, suggesting variation in surgical and discharge care 
quality. Therefore, using a quality measure of hospital visits 
following outpatient same-day surgery can improve transparency, inform 
patients and providers, and foster quality improvement.\473\
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    \473\ National Coverage Analysis (NCA) Decision Memo CAG-
00157R4. https://www.cms.gov/medicare-coverage-database/view/ncacal-decision-memo.aspx?proposed=N&NCAId=288.
---------------------------------------------------------------------------

    The Hospital Visits within 7 days of Hospital Outpatient Department 
(HOPD) Surgery measure assesses quality of care following surgery or 
cystoscopy performed in the hospital outpatient setting for Medicare 
beneficiaries. The measure outcome is any of the following hospital 
visits: (1) an inpatient admission directly after the surgery; or (2) 
an unplanned hospital visit (inpatient admission, observation stay, or 
emergency department visit) occurring after discharge or within 7 days 
of the surgery. The measure score is a ratio of the predicted to 
expected number of post-surgical hospital visits among the HOPD's 
patients. The denominator is the expected number of hospital visits 
given the HOPD's case mix and surgical procedure mix. The numerator is 
the number of hospital visits predicted for the HOPD's patients 
accounting for its observed rate, the number of surgeries performed at 
the HOPD, the case mix, and the surgical procedure mix. A score of less 
than one indicates the HOPD's patients were estimated as having fewer 
post-surgical visits than expected compared to HOPDs with similar 
surgical procedures and patients. A ratio of greater than one indicates 
the HOPD's patients were estimated as having more visits than expected.
    Although it is not specific to outpatient LEJRs, we believe the 
Hospital Visits within 7 Days of HOPD Surgery measure is an appropriate 
quality measure for inclusion in CJR-X model because it captures early, 
unplanned hospital utilization following outpatient surgical 
procedures, including elective total hip and total knee arthroplasty. 
It assesses complications similar to several of those included in the 
THA/TKA Complications measure and, for that reason, is a good 
complement to the original CJR inpatient measure. As joint replacement 
care is primarily furnished in outpatient settings, we believe this 
measure would help ensure that quality accountability under CJR-X 
reflects current clinical practice across care settings. The measure 
assesses early post-operative safety and care coordination by 
identifying emergency department visits, observation stays, and 
unplanned inpatient admissions shortly after discharge--events that are 
often associated with potentially preventable complications or gaps in 
discharge planning and post-operative support. We believe performance 
on this measure is actionable for hospitals and clinicians and 
complements the existing CJR-X inpatient complications measure in 
supporting the model's goals of improving quality, enhancing patient 
safety, and reducing avoidable episode spending.
    We propose at Sec.  512.635(a)(2) to use the Hospital Visits within 
7 days of HOPD Surgery (CMIT ID #344, OP-36) measure to assess 
outpatient episode quality performance starting in PY1 of

[[Page 19684]]

CJR-X. We seek comment on the inclusion of this measure in the CJR-X 
measure set.
(c) Hospital Consumer Assessment of Healthcare Providers and Systems 
(HCAHPS) (CMIT ID #338)
    The Hospital Consumer Assessment of Healthcare Providers and 
Systems Survey (HCAHPS) is a national, standardized, publicly-reported 
survey instrument and data collection methodology for measuring 
patients' perceptions of their hospital experience.\474\ Since 2008, 
HCAHPS has allowed valid comparisons to be made across hospitals 
locally, regionally, and nationally. Three broad goals have shaped 
HCAHPS. First, the standardized survey and implementation protocol 
produce data that allow objective and meaningful comparisons of 
hospitals on topics that are important to consumers. Second, public 
reporting of HCAHPS results creates new incentives for hospitals to 
improve quality of care. Third, public reporting enhances 
accountability in health care by increasing transparency. With these 
goals in mind, CMS and the HCAHPS Project Team have taken substantial 
steps to assure that the survey is credible, practical and actionable.
---------------------------------------------------------------------------

    \474\ Hospital Consumer Assessment of Healthcare Providers and 
Systems Survey (HCAHPS), Centers for Medicare & Medicaid Services 
Measures Inventory Tool, CMIT Measure ID 338. https://cmit.cms.gov/cmit/#/FamilyView?familyId=338.
---------------------------------------------------------------------------

    HCAHPS is a 32-item survey instrument that produces 11 publicly 
reported measures: 7 multi-item measures (communication with doctors, 
communication with nurses, restfulness of hospital environment, care 
coordination, responsiveness of hospital staff, communication about 
medicines, and discharge information); and 4 single-item measures 
(cleanliness of the hospital environment, information about symptoms, 
overall rating of the hospital, and recommendation of hospital). The FY 
2025 IPPS/LTCH PPS final rule describes HCAHPS survey measure updates 
starting with January 2025 discharges.
    The HCAHPS Survey asks recently discharged patients about aspects 
of their hospital experience that they are uniquely suited to address. 
The core of the survey contains 20 items that ask how often or whether 
patients experienced a critical aspect of hospital care, rather than 
whether they were satisfied with their care and two global questions 
about rating and recommending the hospital. Also included in the survey 
are three screener items that direct patients to relevant questions, 
five items to adjust for the mix of patients across hospitals, and two 
items that support Congressionally-mandated reports. Hospitals may 
include additional questions after the core HCAHPS items. HCAHPS is 
administered to a random sample of adult inpatients between 2 to 42 
days after discharge. Patients admitted in the medical, surgical and 
maternity care service lines are eligible for the survey; HCAHPS is not 
restricted to Medicare beneficiaries. Hospitals may use an approved 
survey vendor or collect their own HCAHPS data if approved by CMS to do 
so. HCAHPS can be implemented in six survey modes: mail, telephone, 
mail with telephone follow-up, web with mail follow-up, web with 
telephone follow-up, or web with mail and telephone follow-up, each of 
which requires multiple attempts to contact patients. Hospitals must 
survey patients throughout each month of the year. IPPS hospitals must 
achieve at least 300 completed surveys over four calendar 
quarters.\475\
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    \475\ For full details, see the current HCAHPS Quality Assurance 
Guidelines, V.19.0, under the Quality Assurance button on the 
official HCAHPS On-Line website at https://www.hcahpsonline.org/en/quality-assurance/.
---------------------------------------------------------------------------

    We believe the HCAHPS survey (CMIT ID #338) is an appropriate 
quality measure for inclusion in CJR-X because it relies on patient-
reported experiences of hospital care, including communication with 
providers, responsiveness of staff, and discharge information, which 
are critical to successful joint replacement episodes. We believe 
patient experience is particularly relevant in the context of episode-
based payment models, as effective communication and care transitions 
are closely associated with adherence to post-acute care plans, 
rehabilitation participation, and reduced risk of avoidable 
utilization. Because HCAHPS is a standardized, nationally-validated 
survey, it allows for consistent comparison of hospital performance. 
Moreover, the current use of this measure in the HIQR removes the need 
for CJR-X to introduce additional reporting burden. Including this 
measure would help ensure that incentives under CJR-X continue to 
support patient-centered care and balance cost containment with 
accountability for quality and beneficiary experience.
    For the reasons specified previously, we propose at Sec.  
512.635(a)(3) to use the HCAHPS (CMIT ID #338) survey to assess 
inpatient episode quality performance starting in PY1 of CJR-X. We seek 
comment on the inclusion of this measure in the CJR-X measure set.
(d) Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare 
Providers and Systems Survey (OAS CAHPS) (CMIT ID #162)
    The OAS CAHPS is the complement to the HCAHPS used for inpatient 
episodes. The OAS CAHPS survey collects feedback on patients' 
experiences or care in Medicare-certified HOPDs and ambulatory surgery 
centers (ASCs).\476\ Though the surveyed population is all adults 
rather than solely Medicare beneficiaries, it still provides relevant 
information about the quality of care provided at a particular 
facility. Survey questions include questions about patients' 
experiences with their preparation for the surgery or procedure, check-
in processes, cleanliness of the facility, communications with the 
facility staff, discharge from the facility, and preparation for 
recovering at home. The survey also includes questions about whether 
patients received information about what to do if they had possible 
side-effects during their recovery.\477\ Outcomes are proportions of 
patients in HOPDs or ASCs that responded ``Yes'' to survey questions.
---------------------------------------------------------------------------

    \476\ Centers for Medicare & Medicaid Services. (December 1, 
2023). 2023 Measures Under Consideration (MUC) List. Available at: 
https://mmshub.cms.gov/sites/default/files/2023-MUC-List.xlsxhttps://mmshub.cms.gov/sites/default/files/2023-MUC-List.xlsx.
    \477\ Centers for Medicare & Medicaid Services. (December 2023). 
Overview of the List of Measures Under Consideration. Available at: 
https://mmshub.cms.gov/sites/default/files/2023-MUC-List-Overview.pdf. https://mmshub.cms.gov/sites/default/files/2023-MUC-List-Overview.pdf.
---------------------------------------------------------------------------

    We believe the OAS CAHPS survey is an appropriate quality measure 
for inclusion in CJR-X because it captures beneficiaries' experiences 
with care in outpatient surgery settings, which are the primary setting 
for elective total hip and total knee arthroplasty. The inclusion of 
this measure would ensure that patient experience accountability is 
measured under CJR-X, regardless of setting. The survey assesses key 
domains such as communication with providers, information provided 
before and after surgery, pain management, and care coordination, all 
of which are critical to safe recovery and successful post-operative 
outcomes. OAS CAHPS is a standardized, nationally developed instrument 
that allows for consistent comparison of performance and its inclusion 
supports CJR-X's goals of promoting patient-centered care, care 
coordination, and high-quality outcomes across the episode.
    We considered but did not propose the Patient Understanding of Key 
Information Related to Recovery After a

[[Page 19685]]

Facility-Based Outpatient Procedure or Surgery PRO-PM (OP-46), rather 
than the OAS CAHPS for outpatient LEJR episodes.\478\ The measure, also 
referred to as the Information Transfer PRO-PM, aims to assess the 
level of clear, personalized recovery information provided to patients 
who had surgery or a procedure at an HOPD. It reports the average score 
of a patient's ratings on a three-domain, 9-item survey to evaluate the 
clarity of the clinical information patients are given before, during, 
and after an outpatient surgery or procedure. While reporting to the 
HOQR is voluntary for procedures in CY 2026 (CY 2028 payment 
determination), the Information Transfer PRO-PM will be mandatory 
beginning with the CY 2027 reporting period (CY 2029 payment 
determination).\479\
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    \478\ Patient Understanding of Key Information Related to 
Recovery After a Facility-Based Outpatient Procedure or Surgery, 
Patient Reported Outcome-Based Performance Measure (PRO-PM), Version 
1.0 Methodology Report, April 2024. https://www.cms.gov/files/document/patient-understanding-key-information-related-recovery-after-facility-based-outpatient-procedure-or.pdf.
    \479\ Hospital Outpatient Quality Reporting (OQR) Program 
Measures. https://qualitynet.cms.gov/2outpatient/oqr/measures.
---------------------------------------------------------------------------

    This measure was also considered because it is used in TEAM and, as 
we have previously stated, we attempted, where feasible, to align CJR-X 
policies with TEAM to ensure a more reliable and valid comparison 
between the two models. Moreover, for reasons previously discussed, we 
strive to use PROs wherever possible to ensure patient voice is 
appropriately reflected in assessing quality of care. However, as a new 
measure, there is insufficient data available to reasonably estimate 
how CJR-X participants might perform on the Information Transfer PRO-
PM. Because the CMS Chief Actuary requires a high level of certainty 
for estimating participant performance in order to certify a model for 
expansion, we were limited to established measures with sufficient 
historical data available for analysis. Until adequate data for the 
Information Transfer PRO-PM is available (which could potentially be 
attained through TEAM evaluations), we will use the OAS CAHPS measure. 
Should we propose to utilize the Information Transfer PRO-PM in the 
future, we would propose such a change through notice and comment 
rulemaking.
    Therefore, we propose at Sec.  512.635(a)(4) to use the OAS CAHPS 
(CMIT #162, OP-46) to assess outpatient episode quality performance 
starting in PY1 of CJR-X. We seek comment on the inclusion of this 
measure in the CJR-X measure set.
(e) Hospital-Level Total Hip and/or Total Knee Arthroplasty (THA/TKA) 
Patient-Reported Outcome-Based Performance Measure (PRO-PM) (CMIT ID 
#1618)
    Administrative claims-based THA/TKA Complications and hospital 
readmission measures have been publicly reported since 2013. However, 
neither of these measures capture the reasons for which patients 
undergo elective THA and TKA (for example, Will quality of life be 
improved after undergoing the procedure?). Therefore, a quality measure 
based upon PRO data provides both patients and providers with a unique 
and critical perspective on care.
    As the goal of the procedures is to improve quality of life, THA 
and TKA are ideal candidates for assessing PROs. The original CJR model 
included voluntary reporting of PRO data. In order to meet the 
requirements for successful submission of PRO data, hospitals had to 
submit the Veterans RAND 12 Item Health Survey (VR-12) or Patient-
Reported Outcomes Measurement Information System (PROMIS) Global-10 
generic PRO survey; and the (HOOS Jr.)/(KOOS Jr.) or HOOS/KOOS 
subscales PRO survey for patients undergoing eligible elective primary 
THA/TKA procedures.
    Using the data collected from CJR participants, CMS developed the 
THA/TKA PRO-PM (CMIT ID #1618) to assess the quality of care delivered 
to Medicare beneficiaries undergoing elective THA or TKA.\480\ As 
described in the FY 2023 IPPS/LTCH PPS Final rule (87 FR 48780), the 
THA/TKA PRO-PM would be a mandatory requirement for hospitals included 
in the Hospital IQR Program beginning July 1, 2025. Therefore, 
voluntary PRO submission is no longer a relevant incentive. Rather, its 
inclusion in the HIQR provides an opportunity for CJR-X to access this 
data without additional burden to CJR-X participants.
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    \480\ Patient-Reported Outcomes Following Elective Primary Total 
Hip and/or Total Knee Arthroplasty: Hospital-Level Performance 
Measure, Centers for Medicare & Medicaid Services Measures Inventory 
Tool, CMIT Measure ID 1618. https://cmit.cms.gov/cmit/#/FamilyView?familyId=1618.
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    The Hospital-Level THA/TKA PRO-PM measure is an appropriate quality 
measure for inclusion in CJR-X because it directly assesses 
improvements in patients' pain, physical function, and health-related 
quality of life following elective joint replacement. Unlike 
utilization- or complication-based measures, this measure captures 
outcomes that matter most to beneficiaries and reflects the primary 
clinical goal of total hip and knee arthroplasty. The measure evaluates 
change in patient-reported outcomes from before surgery to after 
recovery, which provides a meaningful assessment of episode-level 
effectiveness and complements existing CJR-X quality measures. In 
addition, because the measure is risk-adjusted and allows for fair 
comparison across hospitals, it would support accountability while 
minimizing incentives to avoid higher-risk patients. Including this 
measure would strengthen alignment between the CJR-X financial 
incentives and patient-centered care and support the model's goals of 
improving quality, value, and beneficiary experience across the episode 
of care.
    As stated, THA/TKA PRO-PM reporting is currently only mandatory in 
the HIQR. However, we believe the inpatient measure provides an overall 
reflection of hospital performance related to LEJR care and can 
appropriately be used to infer quality of care for outpatient episodes 
even in the absence of outpatient-specific PRO collection. Therefore, 
we do not propose to require PRO submission for outpatient CJR-X 
episodes but will use the inpatient THA/TK PRO-PM to assess quality of 
care for all LEJR episodes, regardless of setting.
    We note that voluntary THA/TKA PRO reporting to the HOQR (OP-42) 
has already begun for procedures performed in CY 2025 and mandatory 
reporting will begin for procedures performed in CY 2028 (2031 payment 
determination).\481\ CJR-X may rely on data from the HOQR when it 
becomes available, but would propose such a change through CJR-X notice 
and comment rulemaking.
---------------------------------------------------------------------------

    \481\ Patient-Reported Outcome Performance Measures Overview, 
CMS QualityNet. https://qualitynet.cms.gov/outpatient/measures/PRO-PM.
---------------------------------------------------------------------------

    Therefore, we propose at Sec.  512.635(a)(5) to use the Hospital-
Level THA/TKA PRO-PM (CMIT ID #1618) to assess inpatient and outpatient 
LEJR episode quality performance starting in PY1 of CJR-X. We seek 
comment on the inclusion of this measure in the CJR-X measure set and 
alternatives to our proposal to apply the PRO-PM to outpatient 
episodes.
(4) Quality Measure Reporting
(a) Display of Quality Measures and Performance Periods
    We believe that the display of measure results is an important way 
to educate the public on hospital performance and increase the 
transparency of the model. We propose

[[Page 19686]]

at Sec.  512.635(f) to display quality measure results on the publicly 
available CMS website in a form and manner consistent with other 
publicly reported measures. CMS would share each CJR-X participants' 
quality metrics with the hospital prior to display on the CMS website. 
The timeframe for when CJR-X participants would receive data on our 
proposed measures aligns with the Care Compare schedule that can be 
found here: https://data.cms.gov/provider-data/topics/hospitals/measures-and-current-data-collection-periods. All measures under the 
statutory hospital quality programs have a 30-day preview period prior 
to results being posted on the Care Compare web page. CJR-X participant 
measure scores would be delivered to CJR-X participants confidentially. 
We propose to publicly report PY 1 measure scores in calendar year 2029 
and we would continue to publicly report scores every performance year 
with an approximate 1-year lag. We believe this approximate 1-year lag 
period is a sufficient amount of time to ensure accuracy of the 
measures data.
    We also recognize that measure performance periods would not align 
perfectly with performance years based on availability of data needed 
to assess quality performance in CJR-X. We propose the following 
measure performance periods, summarized in Table X.C.-01. While only 5 
performance years are displayed in the table, we are proposing that the 
measure performance periods would continue at the same cadence each 
performance year. Where possible, these proposed measure performance 
periods align with existing CMS quality reporting program measure 
performance periods to minimize CJR-X participant confusion. We also 
acknowledge that the measure performance periods do not exactly line up 
with the performance years used in CJR-X. While this creates some 
disparity between measure performance periods and model performance 
years, we believe this approach is the least burdensome to CJR-X 
participants because it does not require them to report on these 
measures separately for CJR-X. Additionally, this approach is similar 
to how some measures were captured in the original CJR model as well as 
TEAM.
[GRAPHIC] [TIFF OMITTED] TP14AP26.211

    We seek comment on our proposals at Sec.  512.635(e) on how quality 
measures in CJR-X would be displayed and the quality measure 
performance periods.
(b) Data Submission Criteria
    We believe it is important to be transparent and to outline the 
form, manner, and timing of quality measure data submission so that 
accurate measure results are provided to hospitals, and that timely and 
accurate calculation of measure results are consistently produced to 
determine reconciliation payment amounts and repayment amounts. We 
propose that data submission for the Hospital-Level RSCR Following 
Elective Primary THA and/or TKA (CMIT ID #350), the HCAHPS survey (CMIT 
ID #338), and the Hospital-Level THA/TKA PRO-PM (CMIT #1618) would be 
accomplished through existing Hospital Inpatient Quality Reporting 
Program processes. Since these measures are reported to the Hospital 
IQR or other CMS quality reporting programs, CJR-X participants would 
not need to submit additional data for CJR-X.
    For measures in the outpatient setting, we propose that data 
submission for the Hospital Visits within 7 days of HOPD Surgery (CMIT 
ID #344, OP-36) and the OAS CAHPS (CMIT #162) survey be accomplished 
through the existing Hospital Outpatient Quality Reporting Program. 
Therefore, CJR-X participants would not need to submit additional data 
for CJR-X.
(5) Composite Quality Score (CQS)
(a) Overview
    We believe that the proposed CJR-X provides another mechanism for 
CJR-X participants to improve quality of care, while also achieving 
cost efficiency. Incentivizing high-value care through episode payments 
for LEJR is a primary objective of the model. Therefore, incorporating 
quality performance into the episode payment structure is an essential 
component of CJR-X, just as it was for the CJR Model (80 FR 73370) and 
for TEAM (89 FR 69774). We believe it is important for CJR-X to link 
the financial reward opportunity with performance in the quality of 
care for Medicare beneficiaries in a LEJR episode.
    As discussed in section X.C.2.f. of this proposed rule, which 
outlines the pricing methodologies for CJR-X, we propose setting a 
target price for LEJR episodes. We would apply the CJR-X participant's 
discount factor, based on the participant's quality performance for the 
performance year, to calculate the reconciliation target price for LEJR 
episodes. We refer to section X.C.2.f.(5)(e). of this proposed rule for 
further discussion of the relationship between a CJR-X participant's 
quality performance and the discount factor. A CJR-X reconciliation 
target price would represent expected spending on all related Part A 
and Part B items and services furnished during a LEJR episodes and 
would incorporate the

[[Page 19687]]

CJR-X participant's discount factor for the performance year. CJR-X 
participants that achieve actual FFS spending below the reconciliation 
target price for a given performance year may be eligible for a 
reconciliation payment from CMS, subject to the proposed stop-gain 
limit policy as discussed in section X.C.2.f.(5)(g). of this proposed 
rule. CJR-X participants that achieve actual FFS spending that exceed 
the reconciliation target price for a given performance year would be 
required to pay CMS a repayment amount, subject to the stop-loss limit 
policy as discussed in section X.C.2.f.(5)(g), of this proposed rule.
    We propose a composite quality score methodology for linking 
quality and payment in CJR-X that is similar to, but not the same, as 
the methodology that was finalized for the CJR Model (80 FR 73363 
through 73381). We propose to define the ``composite quality score'' at 
Sec.  512.605 as a score computed for each CJR-X participant to 
summarize the CJR-X participant's level of quality performance on 
specified quality measures as described in Sec.  512.635. Notably 
different is the inclusion of outpatient quality measures in CJR-X and 
thus the assessment of these measures in the composite quality score. 
The CJR-X composite quality score methodology would allow performance 
on each required quality measure to be meaningfully valued in the CJR-
X's pay-for-performance methodology, incentivizing and rewarding cost 
savings in relation to the quality of episode care provided by the CJR-
X participant.
    Although performance on each measure would be valued in the CJR-X 
composite quality score methodology, it is the CJR-X participant's 
overall quality performance under the CJR-X that would be considered in 
the pay-for-performance approach, rather than performance on each 
quality measure individually determining the financial opportunity 
under CJR-X. The composite score methodology also provides a framework 
for incorporating additional measures of meaningful outcomes in the 
future. Finally, while we believe that high performance on all of the 
quality measures represents goals of clinical care that should be 
achievable by all CJR-X participants that heighten their focus on these 
measures, we appreciate that many CJR-X participants would have room 
for significant improvement in their current measure performance. The 
composite score methodology would provide the potential for financial 
reward for CJR-X participants that reach ``good'' or ``excellent'' 
quality performance, thus incentivizing their continued efforts to 
improve the quality and efficiency of LEJR episodes.
(b) Determining Quality Measure Performance
    We believe that assessing measure performance by comparing CJR-X 
participants against a national distribution for the proposed CJR-X 
measures would be the most appropriate way to incorporate quality 
performance into CJR-X. Moreover, we believe that hospitals nationally 
are currently working to improve their performance on quality measures 
on an ongoing basis as some of these measures are included in other CMS 
programs such as the Hospital Inpatient Quality Reporting and Hospital 
Value-Based Purchasing Programs. Therefore, we expect that CJR-X 
participants would have a heightened focus on performance on these 
measures as a result of the financial incentives resulting from the 
CJR-X payment methodology.
    Thus, at the time of reconciliation for a performance year, we 
propose at Sec.  512.635(c) to assign each CJR-X participant's measure 
point estimate from the measure performance period, as discussed in 
section X.C.2.e.(5)(d). of this proposed rule, to a performance 
percentile based on the national distribution of measure results for 
hospitals that are eligible for payment under the IPPS reporting the 
measure, as discussed in section X.C.2.e.(5)(d). of this proposed rule, 
that meets the minimum patient case or survey count. This proposal 
applies to the Hospital-Level RSCR Following Elective Primary THA and/
or TKA (CMIT ID #350); the Hospital Visits within 7 days of HOPD 
Surgery (CMIT ID #344, OP-36); the HCAHPS Survey (CMIT ID #338); the 
OAS CAHPS Survey (CMIT #162); and the Hospital-Level THA/TKA PRO-PM 
(CMIT #1618). The measure-specific parameters for minimum case/survey 
count that would apply to developing the national distributions are 
displayed in Table X.C-02.
[GRAPHIC] [TIFF OMITTED] TP14AP26.212

    We propose at Sec.  512.635(d) to assign any CJR-X participant 
without a reportable value for the measure, new hospitals that are 
identified as CJR-X participants, or CJR-X participants where CMS has 
suppressed the measure value due to an error in the data used to 
calculate the measure to the 50th performance percentile of the measure 
result, so as not to disadvantage a CJR-X participant based on its lack 
of applicable cases because that CJR-X participant may in actuality 
provide high quality care. We believe that relative measures of quality 
performance are most appropriate for CJR-X as hospitals continue to 
make progress nationally on improving patient outcomes and experience. 
This approach is also consistent with the CJR Model.
    We seek comment on our proposals at Sec. Sec.  512.635(c) and (d) 
to determine quality measure performance based on assigning the CJR-X 
participant's measure point estimate to a measure performance 
percentile based on the national distribution of measure results from 
hospitals eligible for payment under the IPPS.
(c) Quality Improvement
    We recognize the CJR Model rewarded CJR participant hospitals for 
quality improvement, similar to the pay-for-performance policies under 
other programs such as the Hospital Value-Based Purchasing Program, in 
order to provide an incentive for quality improvement for CJR 
participant hospitals at all levels of quality performance (70 FR 
73379). As in the CJR Model, we believe the heightened

[[Page 19688]]

focus on episode spend and quality performance by CJR-X participants 
may lead to substantial year-over-year quality measure improvement. 
Nevertheless, we believe that the actual level of quality performance 
achieved in CJR-X should be most highly valued in the composite quality 
score to reward those CJR-X participants furnishing high-quality care 
to CJR-X beneficiaries.
    We considered, but are not proposing, to include a policy that 
provides CJR-X participants quality improvement points when there is 
improvement of 2 deciles or more in comparison to the national 
distribution of measure results from the prior year, based on a 
comparison of relative quality measure performance over the most recent 
2 years of available quality measure result data. CJR-X participants 
who are able to demonstrate quality improvement, could be awarded 10 
percent of the maximum measure performance score, with a cap for the 
overall composite quality score at 20 points. This is the same 
methodology as was used in the CJR Model.
    However, we are not proposing to include quality improvement points 
in CJR-X because we believe CJR-X is structured to emphasize absolute 
quality performance on clinically meaningful outcomes, rather than 
short-term year-over-year changes that may reflect random variation or 
changes in case mix. Further, we believe focusing on achievement-based 
performance promotes consistent accountability for patient safety, 
experience, and outcomes across CJR-X participant hospitals.
    In addition, CJR-X already provides incentives for improvement 
through its financial reconciliation structure, as hospitals can 
benefit from lower episode spending while maintaining quality 
thresholds. Excluding improvement points also supports transparency and 
predictability in quality scoring, allowing hospitals to better 
understand how quality performance affects reconciliation payments and 
to invest in sustained, long-term care redesign strategies. Lastly, 
this approach aligns with TEAM as quality improvement points are not 
included in the model's composite quality score calculation. Thus, we 
believe not including quality improvement points aligns with the goals 
of the model by balancing fairness, administrative simplicity, and 
accountability for high-quality, patient-centered care.
    We seek comment on not including a policy for quality measure 
improvement for CJR-X.
(d) Calculating the Composite Quality Score
    We propose adopting a similar calculation of the CJR Model 
composite quality but with modifications to account for outpatient 
quality measures. The CJR Model CQS was constructed based on the 
performance of two inpatient quality measures and one voluntary 
inpatient measure. The measures were weighted 50 percent for the 
complications measure, 40 percent for patient experience measure, and 
10 percent for the patient reported outcomes measure with the sum of 
quality points capped at 20 points. Given the greater proportion of 
episodes initiating in the outpatient setting, CJR-X has proposed 
adopting two outpatient quality measures to capture quality performance 
for episodes in the outpatient setting. The CJR-X CQS methodology would 
account for these two measures by constructing an outpatient measure 
composite quality score that mimics the CJR Model weighting and quality 
point cap. Specifically, we propose placing each of the five proposed 
quality measures, as described in section X.C.2.g. of this proposed 
rule, into one of three quality domains. The domains would be 
complications, patient experience, and patient reported outcomes. We 
propose for inpatient measures and outpatient measures to weight the 
complications domain at 50 percent, the patient experience domain at 40 
percent, and the patient reported outcomes domain at 10 percent. We 
believe the approach to weighting the quality domains represents a 
balanced and equitable approach to assessing hospital performance under 
CJR-X and aligns with the CJR Model. The complications quality domain 
would be weighted most heavily because it reflects serious, clinically 
significant outcomes that directly affect patient safety, recovery, and 
episode spending, and are supported by mature, well-validated, claims-
based measures. Patient experience measures receive substantial weight 
because effective communication, discharge planning, pain management, 
and care coordination are critical drivers of post-acute utilization 
and successful recovery in joint replacement episodes. Lastly, patient-
reported outcome measures are included to capture improvements in pain 
and function that matter most to beneficiaries, while being weighted 
more modestly to reflect ongoing considerations related to response 
rates, data completeness, and measure stability. Together, this 
weighting approach promotes accountability for safety and outcomes 
while ensuring that patient-centered perspectives meaningfully inform 
quality performance, supporting a fair, reliable, and comprehensive 
assessment aligned with the goals of CJR-X. Table X.C-03 displays the 
proposed quality measures and associated quality domain weights.
[GRAPHIC] [TIFF OMITTED] TP14AP26.213

    Under this approach, we propose we would score each CJR-X model 
participant on the five proposed quality measures based on the CJR-X 
participant's performance percentile as compared to the national 
distribution of hospitals that are eligible for payment under the IPPS 
measure performance, assigning points according to the

[[Page 19689]]

proposed point values displayed in Table X.C-04.
[GRAPHIC] [TIFF OMITTED] TP14AP26.214

    We believe that small point increments related to higher measure 
performance deciles would be the most appropriate way to assign more 
points to reflect meaningfully higher quality performance on the 
measures. The absolute differences for each decile among the five 
measures reflect the intended weight of the measure in the composite 
quality score.
    After determining the point value for each measure, we propose 
summing the performance points for the inpatient measures to construct 
the inpatient measure composite quality score and sum the outpatient 
measures to construct the outpatient measure composite quality score. 
We propose at Sec.  512.605 to define the ``inpatient measure composite 
quality score'' as the sum of inpatient quality measure point values 
capped at 20 points. Likewise, we propose at Sec.  512.605 to define 
the ``outpatient composite quality score'' as the sum of outpatient 
quality measure points values, capped at 20 points.
    We propose to assign each CJR-X participant an ``overall composite 
quality score,'' defined at Sec.  512.605 as the sum of the weighted 
average of the inpatient measure composite quality score and the 
outpatient measure composite quality score, capped at 20 points. The 
inpatient and outpatient composite quality score would be weighted 
based on the proportion of inpatient to outpatient episodes. For 
example, if a CJR-X participant with 90 percent outpatient episode 
volume earned a 17.00 on their inpatient composite quality score and a 
14.00 on their outpatient composite quality score, then their overall 
composite quality score would be calculated as follows:
     Inpatient measure composite quality score = 17.00.
     Outpatient measure composite quality score = 14.00.
     Inpatient/outpatient episode volume proportion--
    ++ 10 percent inpatient; and
    ++ 90 percent outpatient.
     Overall composite quality score = ((0.10)*(17.00)) + 
((0.90)*(14.00)) = 14.3.
    We believe the proposed composite quality score methodology for 
CJR-X is a sound approach because it combines multiple, complementary 
quality measures into a single assessment of hospital performance 
across the episode of care, reflecting the multidimensional nature of 
quality in joint replacement. By incorporating measures of patient 
safety, patient experience, and patient-reported outcomes, the 
composite score avoids over-reliance on any single metric and improves 
the reliability and stability of quality assessment by mitigating the 
effects of random variation in individual measures. The methodology 
recognizes quality achievement and incentivizes meaningful progress 
across all CJR-X participants. This standardized and transparent 
approach promotes equitable comparisons across CJR-X participants, 
enhances predictability in reconciliation outcomes, and aligns 
financial incentives with the patient-centered quality goals of the 
model.
    The proposal for the methodology to calculate the composite quality 
score is included in Sec.  512.635(b)(1) and (2). We seek comment on 
our proposed methodology to calculate the composite quality score and 
on our definitions for the composite quality scores at Sec.  512.605.
f. Proposed Pricing and Payment Methodology
(1) Background
    Given that we are proposing CJR-X as an expansion of the CJR Model, 
as opposed to a new model concept, our initial foundation for the 
pricing and payment methodology is the set of policies from the CJR 
Extension. As initially discussed in section X.C.1.b. of this proposed 
rule, we are proposing several, minor modifications for CJR-X that will 
align with some of the policies we enacted in TEAM, which we believe 
represented improvements to the CJR Model methodology.
    As we developed the methodologies for the CJR and BPCI Advanced 
Models, and refined them over time in response to observed changes in 
nationwide spending trends and payment system changes (such as the 
removal of TKA and THA from the IPO list, and the reclassifications of 
certain MS-DRGs), each new iteration drew from lessons learned in the 
previous iteration. With TEAM, we aimed to find a balance between 
simplicity and predictive accuracy of target prices, blending and 
building upon methods from both the original CJR Model and BPCI 
Advanced Model. Our goal was to choose a payment methodology that was 
as transparent and understandable as possible for participants of 
varying levels of statistical background and knowledge, but robust and 
statistically sophisticated enough to accurately predict performance 
period spending.
    For CJR-X, we aim to achieve a similar balance between simplicity 
and predictive accuracy, but with an added focus on long-term 
sustainability. As an expanded, national model, CJR-X is unique from 
the other models discussed

[[Page 19690]]

here in that it is not being proposed as a finite, model test that will 
occur over a relatively short period of time. Therefore, when 
evaluating the different approaches to pricing and payment that have 
been used in other models, both past and present, we must also consider 
how each approach would perform in the long-term. We believe that a 
pricing and payment methodology that is transparent, accurate, and 
adaptable to evolving payment and health care industry trends will be 
crucial for achieving our goals of improving quality and lowering costs 
over the long term.
    It is also important to note that, whereas the goal for new (Phase 
I) models is to test and generate evidence on a novel payment policy 
design, the goal of model expansion (Phase II) is to take a payment 
policy design that has already proven effective and apply it to a 
larger scope of episodes. Thus, while we are proposing several minor 
adjustments to the CJR Model pricing and payment methodology, in order 
to improve upon the policies that were tested, we must adhere to the 
general design and structure that was tested in and for which we can 
confidently predict the long-term effects on both quality and spending.
(a) CJR Model Pricing Methodology
    When designing the CJR Model payment methodology, some of the 
primary goals were simplicity and clarity, given that it was a 
mandatory model covering only one episode category. The original CJR 
Model payment methodology included a 3-year baseline period that rolled 
forward every 2 years. Target prices used a blend of participant-
specific and regional spending, which shifted towards 100 percent 
regional spending for PYs 4 and 5. Downside risk was waived for the 
first performance year of the model to allow participants time to enact 
practice changes that would help them succeed in the model. Beginning 
in PY 2, participants were subject to both upside and downside risk, 
within stop-loss and stop-gain limits that increased to a maximum of 20 
percent by PY 3 for most hospitals. The stop-loss and stop-gain limits 
were designed to ensure that participants would neither be subject to 
an unmanageable level of risk, nor be incentivized to stint on care to 
achieve savings. The original CJR Model payment methodology is 
described in detail in the 2015 CJR final rule, (80 FR 73324 through 
73554).
    The original CJR Model payment methodology was modified in the 2021 
CJR 3-Year Extension final rule. The CJR Model's 3-year extension and 
modification was due to a number of factors, as described in detail 
starting at 86 FR 23508. A principal reason for the modifications to 
the payment methodology was the fact that the original CJR Model target 
price methodology did not account for changing downward trends in 
spending on LEJR episodes, both among CJR participant hospitals and 
non-participant hospitals. The resulting reconciliation payments under 
the initial methodology rewarded participants for spending reductions 
that likely would have happened regardless of the model, which led to 
concerns that target prices could be too high for Medicare to achieve 
savings in the model over time.
    The changes to the model increased the complexity in some ways (for 
example, the addition of risk adjustment multipliers) while simplifying 
it in other ways (for example, the removal of update factors) in order 
to calculate target prices that would more accurately reflect 
performance period spending. A retrospective Market Trend Factor was 
applied to target prices at reconciliation to capture changes in 
spending patterns that occurred nationally during the performance 
period. This market trend factor, in combination with the change from a 
3-year baseline to a 1-year baseline, negated the need for setting-
specific update factors that we had used previously to set purely 
prospective target prices. At the same time, our added risk adjustment 
increased target prices for episodes with more complex patients, to 
better reflect the higher costs associated with those patients. The 
changes to the original CJR Model payment methodology are described in 
detail in the 2021 CJR 3-Year Extension final rule (86 FR 23508).
(b) TEAM Pricing Methodology
    The TEAM methodology, as discussed in the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69748) and FY 2026 IPPS/LTCH PPS final rule (90 FR 
37092), was designed with the goal of blending the most successful 
elements from the different CJR and BPCI Advanced Model iterations in 
order to strike a balance between predictability and accuracy. TEAM 
sets preliminary target prices at the MS-DRG/HCPCS episode type- and 
region-level using a 3-year baseline, trended forward to the 
performance year. Preliminary target prices are updated using the 
performance year data during the reconciliation process to account for 
updated spending trends (subject to a 3 percent cap) and normalization 
factor (subject to a 5 percent cap) and by adjusting for each 
participant's realized performance year case mix.
    TEAM's risk adjustment includes adjusters for age group, 
Hierarchical Condition Category (HCC) count, and beneficiary economic 
risk, as well as episode category-specific HCC adjusters and hospital-
level adjusters including a hospital bed size factor and a safety net 
hospital factor. The risk adjustment factors will be calculated at the 
MS-DRG/HCPCS level using a weighted linear regression where episodes 
are weighted differentially based on whether they belong to year 1, 2, 
or 3 of the baseline periods. After risk adjusting for the performance 
year case mix, target prices are normalized to ensure that the average 
of the total risk-adjusted preliminary target price does not exceed the 
average of the total non-risk adjusted preliminary target price.
    TEAM participants will have the opportunity to achieve a 
reconciliation payment amount, after accounting for quality 
performance, if their performance year spending is below the 
reconciliation target price, or they may owe a repayment amount if 
their spending is above the reconciliation target price.
(2) Overview of Proposed CJR-X Pricing and Payment Methodology
    While we describe each element of the pricing and payment 
methodology in detail in the following sections, here we present an 
overview of the proposed CJR-X pricing and payment methodology. At 
proposed Sec.  512.640, we are proposing to use 3 years of baseline 
data, trended forward to the performance year, to calculate target 
prices at the level of MS-DRG/HCPCS episode type and region. We propose 
to group episodes from the baseline period by applicable MS-DRG for 
episode types that include only inpatient hospitalizations, and by 
applicable MS-DRG or HCPCS code for episode types that include both 
inpatient hospitalizations and outpatient procedures. For episode types 
that include both inpatient hospitalizations (identified by MS-DRGs) 
and outpatient procedures (identified by HCPCS codes), HCPCS codes are 
combined for purposes of target pricing with the applicable MS-DRG 
representing an inpatient hospitalization without Major Complications 
and Comorbidities, as we expect those beneficiaries to have similar 
clinical characteristics and costs. After capping high-cost outlier 
episodes at the 99th percentile for each of the 4 proposed MS-DRG/HCPCS 
episode types, we propose to use average standardized spending for each 
MS-DRG/HCPCS episode type in each region as the benchmark price for 
that MS-DRG/HCPCS episode type for that

[[Page 19691]]

specific region, resulting in 36 MS-DRG/HCPCS episode type/region-level 
benchmark prices. We propose to apply a prospective trend factor and a 
discount factor to benchmark prices (as well as a prospective 
normalization factor, described later in this section) to calculate 
preliminary target prices. The prospective trend factor would represent 
expected changes in overall spending patterns between the most recent 
calendar year of the baseline period and the performance year, based on 
observed changes in overall spending patterns between the earliest 
calendar year of the baseline period and the most recent year of the 
baseline period. The discount factor would represent Medicare's portion 
of potential savings from the episode. At proposed Sec.  512.645(a), we 
propose to risk adjust episode-level target prices at reconciliation by 
facility bed-size and safety net status, as defined in Sec.  512.605, 
along with the following beneficiary-level variables: age group, 
Hierarchical Condition Category count (a measure of clinical 
complexity), beneficiary economic risk (the components of which are 
described in more detail in section X.C.2.f.(4). of this proposed 
rule), prior post-acute care use, disability status as reason for 
initial Medicare enrollment, and recent medical history (represented as 
22 separate, binary variables indicating relevant services or HCC flags 
during the 180-day lookback). We propose to calculate risk adjustment 
multipliers prospectively at the MS-DRG/HCPCS episode type level based 
on baseline data and hold those multipliers fixed for the performance 
year. To ensure that risk adjustment does not inflate target prices 
overall, we further propose to calculate a prospective normalization 
factor based on the data used to calculate the risk adjustment 
multipliers. We propose to apply the prospective normalization factor, 
in addition to the prospective trend factor and discount factor 
described previously, to the benchmark price to calculate the 
preliminary target price for each MS-DRG/HCPCS episode type and region. 
We propose that the prospective normalization factor would be subject 
to a limited adjustment at reconciliation based on CJR-X participants' 
observed performance period case mix, such that the final normalization 
factor would not exceed +/-5 percent of the prospective normalization 
factor. We would use standardized payment data to perform these target 
price calculations. A simplified equation for the construction of 
preliminary target prices would be--

    Preliminary Target Price = Benchmark Price * Prospective Trend 
Factor * Prospective Normalization Factor * Risk Adjustment Multipliers 
* Discount Factor

    We note that construction of the reconciliation target price, as 
discussed in section X.C.2.f.(5)(d). of this proposed rule, would 
account for realized patient case mix and spending trends and result in 
updates to the trend factor and normalization factors.
    As described in detail in the following sections, many of the 
payment and pricing policies that we are proposing for CJR-X represent 
minor deviations from the policies that were tested in the original CJR 
Model and the CJR Extension. Many of the proposed policy adjustments 
are intended to align with specific policies enacted in TEAM, which we 
believed would improve upon the CJR Model methodology in a manner that 
was predictable and would not fundamentally alter the general structure 
of the model that was tested. As discussed in section X.C.2.f.(1)(c). 
of the proposed rule, TEAM was designed, in large part, based on the 
lessons that had been learned from the CJR Model test. It drew from the 
strongest elements of the CJR Model and improved upon the weaker 
elements. Given that TEAM launched on January 1, 2026, we have not yet 
evaluated the effectiveness of the TEAM policies versus the CJR Model 
policies, nor have we received any evidence to discredit the rationale 
for these policy improvements.
(3) Target Prices
(a) Baseline Period for Benchmarking
    We propose using 3 years of baseline episode spending to calculate 
benchmark prices, which we would further adjust as described in section 
X.C.2.f.(4). of this proposed rule to create preliminary target prices. 
Specifically, at Sec.  512.605, we propose to define ``baseline 
period'' as the 3-year historical period used to construct the 
preliminary target price and reconciliation target price for a given 
performance year. We also propose to define ``baseline episode 
spending'' as total episode spending by all providers and suppliers 
associated with a given MS-DRG/HCPCS episode type for all hospitals in 
a given region during the baseline period. We propose to roll this 3-
year baseline period forward every year. Specifically, we propose the 
following:
     To determine baseline episode spending for PY1, CMS would 
use baseline episode spending for episodes with anchor hospitalization 
start dates or anchor procedure dates beginning on or after October 1, 
2023 and anchor hospitalization discharge dates or anchor procedure 
dates between October 1, 2023 and September 30, 2026.
     To determine baseline episode spending for PY2 and future 
performance years, CMS would use same 3-year cadence to roll the 
baseline period forward a year.
     For example, to determine baseline episode spending in 
PY2, CMS would use baseline episode spending for episodes with anchor 
hospitalization start dates or anchor procedure dates beginning on or 
after October 1, 2024 and anchor hospitalization discharge dates or 
anchor procedure dates between October 1, 2024 and September 30, 2027.
    The use of 3 years of baseline episode spending is consistent with 
our initial CJR methodology, as described in the 2015 CJR final rule 
(80 FR 73340). In that case, the 3-year baseline period moved forward 
every 2 years. However, in combination with the lack of a retrospective 
trend factor, the use of a 3-year baseline period that only moved 
forward every 2 years meant that our methodology was not able to 
capture the degree to which spending on LEJR episodes was decreasing 
nationwide, both among CJR and non-CJR hospitals. As a result, we 
believe our target prices partially reflected spending decreases that 
were not due specifically to participation in CJR.
    Subsequently, in the 2021 CJR 3-Year Extension final rule, we 
finalized a policy to use a 1-year baseline period that would move 
forward every year (with the exception of skipping data from 2020 due 
to COVID-19 irregularities) (86 FR 23514). In combination with a 
retrospective market trend factor, using 1 year of baseline episode 
spending updated every year meant that our target prices would not be 
inflated as they had been under the initial CJR methodology. BPCI 
Advanced employs a strategy that blends elements of both CJR 
approaches, with a longer baseline period (4 years) similar to the 
initial CJR methodology, but shifting forward every year, as we do in 
the CJR extension.
    Participants in episode-based payment models have expressed 
concerns about a concept known as the ``ratchet effect'' when choosing 
the baseline period from which to calculate target prices. That is, 
participants do not want to be penalized for achieving lower spending 
by having lower target prices in subsequent years. The use of fewer 
years of the most recent baseline episode spending, as well as more 
frequent rebasing, will generally

[[Page 19692]]

decrease target prices more quickly year over year if overall episode 
spending decreases, as opposed to a longer, fixed baseline. However, we 
must balance this concern against the likelihood of having inaccurate 
target prices if we use older baseline episode spending or rebase less 
frequently.
    In TEAM, we finalized a revised version of the BPCI Advanced 
strategy with a shorter, 3-year baseline that was rebased annually and 
temporally weighted to place greater emphasis on more recent years. As 
initially described in final rule establishing TEAM (89 FR 69748), we 
believe this approach will achieve a balance between providing target 
prices that sufficiently reflect up-to-date spending trends and 
mitigating the ratchet effect by allowing prices to adjust more 
gradually over time. Additionally, as discussed in section 
X.C.2.f.(3)(b). of this proposed rule, we are proposing regional target 
prices based on regional average spending making CJR-X an achievement-
based model. In this framework, CJR-X participants would not compete 
against their historical selves but rather strive to outperform their 
regional peers. Individual improvements will not affect future target 
prices in a substantive way as the future benchmark is being calculated 
based on the performance of several hospitals. We believe a 3-year 
baseline period constructed using all hospital's spending would help 
produce a fair pricing approach that balances accuracy, simplicity, and 
mitigates CJR-X participants being penalized for successful past 
performance.
    For CJR-X, we propose to adjust baseline episode spending to trend 
all episode spending to the most recent year of the baseline period. 
The adjustment would reflect the impact of inflation and any changes in 
episode spending due to evolving patterns of care, Medicare payment 
policies, payment system updates, and other factors during the baseline 
period. At Sec.  512.605(e) propose to define a ``baseline year'' as 
any of the 3 fiscal years during a given baseline period. For example, 
baseline year 1 for PY 1 will be FY 2024 (October 1, 2023-September 30, 
2024), baseline year 2 will be FY 2025 (October 1, 2024-September 30, 
2025), and baseline year 3 will be FY 2026 (October 1, 2025-September 
30, 2026). We propose to calculate the adjustment factors for baseline 
years 1 and 2 by dividing average episode spending for baseline year 3 
episodes by average episode spending for episodes from baseline years 1 
and 2, respectively. We would then apply the applicable adjustment 
factors to the episode spending of each episode in baseline years 1 and 
2. This adjustment would bring all baseline episode spending forward to 
the most recent baseline year, so that baseline year 1 and 2 spending 
would be expressed in baseline year 3 dollars. This method would be 
consistent with how we calculated the baseline trend factor for CJR in 
the performance years that used the 3-year baseline period, as 
described in the 2015 CJR final rule (80 FR 73342). We propose to 
calculate these baseline trend factor adjustments at the MS-DRG/HCPCS 
episode type and region level.
    In recognition of the fact that baseline episode spending from more 
recent years are likely to be a better predictor of performance year 
spending, we propose to weight recent baseline episode spending more 
heavily than episode spending from earlier baseline years. 
Specifically, we propose to weight episode spending from baseline year 
1 at 17 percent, baseline year 2 at 33 percent, and baseline year 3 at 
50 percent. This method of weighting would mean that the most recent 
episode spending patterns, expected to be the most accurate predictor 
of performance year spending, would contribute most strongly to the 
benchmark price at 50 percent. The remaining 50 percent would be 
divided into thirds, with baseline year 2 contributing approximately 
\2/3\, while baseline year 1, which is likely to be the least accurate 
predictor of performance year spending, would contribute \1/3\.
    We seek comment on our proposed definitions at Sec.  512.605 and 
our proposals at Sec.  512.640(b)(2) and (3) to use 3 years of baseline 
episode spending, rolled forward for each performance year, with more 
recent baseline years weighted more heavily, to calculate CJR-X target 
prices.
(b) Regional Target Prices
    We are proposing to provide target prices to CJR-X participants for 
each proposed MS-DRG/HCPCS episode type and region based on 100 percent 
regional data for all CJR-X participants prior to each PY. This 
approach would be consistent with PYs 4 through 8 of the CJR Model and 
aligns with the approach implemented in TEAM (89 FR 69751). While CJR 
target prices used a blend of two-thirds hospital-specific data and 
one-third regional data for PYs 1 and 2, and one-third hospital-
specific data and two-thirds regional data for PY 3, we stated our 
reasons in the 2015 CJR final rule for moving towards fully regional 
target pricing as participants gained more experience in the model (80 
FR73347). Target prices based on hospital-specific data would require a 
CJR-X participant to compete against its own previous performance and 
improve over that performance to receive a reconciliation payment. 
Conversely, target prices based on regional data would require a CJR-X 
participant to compete against its peers in that region, such that only 
a specific level of achievement, as opposed to improvement alone, would 
result in a reconciliation payment. For historically inefficient CJR-X 
participants, compared to their peers, hospital-specific target prices 
would be higher than regional target prices because hospital-specific 
baseline episode spending would be greater than average baseline 
episode spending for the region. For CJR-X participants that are 
historically efficient compared to their peers, hospital-specific 
target prices would be lower than regional target prices because 
hospital-specific baseline episode spending would be lower than average 
baseline episode spending for the region. We noted in the 2015 CJR 
final rule that if we used 100 percent hospital-specific pricing in 
CJR, historically efficient hospitals could have fewer opportunities 
for achieving additional efficiencies under the model and would not be 
rewarded for maintaining high quality and efficiency, whereas less 
efficient hospitals would be rewarded for improvement even if they did 
not reach the same level of high quality and efficiency as the more 
historically efficient hospitals.
    We seek comment on our proposal at Sec.  [thinsp]512.640(b)(1) to 
provide regional target prices to all CJR-X participants for each PY.
(c) Services That Extend Beyond an Episode
    As we are proposing a fixed 90-day post-discharge episode length as 
discussed in section X.C.2.d.(3)(d) of this proposed rule, we recognize 
that there may be some instances where a service included in the 
episode begins during the episode but concludes after the end of the 
episode and for which Medicare makes a single payment under an existing 
payment system. An example would be a beneficiary in an episode who is 
admitted to a SNF for 30 days, beginning on day 65 post-discharge from 
the CJR-X anchor hospitalization or anchor procedure. The first 25 days 
of the SNF admission would fall within the episode, while the 
subsequent 5 days would fall outside of the episode. We propose that, 
to the extent that a Medicare payment for included episode services 
spans a period of care that extends beyond the episode, these payments 
would be prorated so that only the portion

[[Page 19693]]

attributable to care during the episode is attributed to the episode 
payment when calculating actual Medicare payment for the episode. For 
non-IPPS inpatient hospital (for example, CAH) and inpatient PAC (for 
example, SNF, IRF, LTCH, IPF) services, we propose to prorate payments 
based on the percentage of actual length of stay (in days) that falls 
within the episode window. For HHA services that extend beyond the 
episode, we propose that the payment proration be based on the 
percentage of days, starting with the first billable service date 
(``start of care date'') and through and including the last billable 
service date, that fall within the episode. This proposed policy would 
ensure that CJR-X participants are not held responsible for the cost of 
services that did not overlap with the episode period. For IPPS 
services that extend beyond the episode (for example, readmissions 
included in the episode definition), we propose to separately prorate 
the IPPS claim amount from episode target price and actual episode 
payment calculations, called the normal MS-DRG payment amount for 
purposes of this proposed rule. The normal MS-DRG payment amount would 
be pro-rated based on the geometric mean length of stay, comparable to 
the calculation under the IPPS PAC transfer policy at Sec.  412.4(f) 
and as published on an annual basis in Table 5 of the IPPS/LTCH PPS 
final rules. Consistent with the IPPS PAC transfer policy, the first 
day for a subset of MS-DRGs (indicated in Table 5 of the IPPS/LTCH PPS 
final rules) would be doubly weighted to count as 2 days to account for 
likely higher hospital costs incurred at the beginning of an admission. 
If the actual length of stay that occurred during the episode is equal 
to or greater than the MS-DRG geometric mean, the normal MS-DRG payment 
would be fully allocated to the episode. If the actual length of stay 
that occurred during the episode is less than the geometric mean, the 
normal MS-DRG payment amount would be allocated to the episode based on 
the number of inpatient days that fall within the episode. If the full 
amount is not allocated to the episode, any remaining amount would be 
allocated to the 90-day post-episode payment calculation discussed in 
section X.A.3.(d)(5). of this proposed rule. The proposed approach for 
prorating the normal MS-DRG payment amount is consistent with the IPPS 
transfer per diem methodology. This methodology would be consistent 
with CJR, and is described as applied to CJR in the 2015 CJR final rule 
(80 FR 73333).
    We seek comment on our proposed methodology at Sec.  
[thinsp]512.655 for prorating services that extend beyond the episode.
(d) Episodes That Begin in One Performance Year and End in the 
Subsequent Performance Year
    Given that we are proposing episodes with a 90-day post discharge 
period, we recognize that some episodes will begin during one 
performance year and end during the following performance year. We 
propose that all episodes would receive the target price associated 
with the date of discharge from the anchor hospitalization or the 
anchor procedure, as applicable, regardless of the episode end date. We 
note that the assignment of target prices based on the date of 
discharge from the anchor hospitalization or the anchor procedure is 
different from the CJR model, where the target price was assigned based 
on the episode start date rather than the discharge date, but this 
proposed policy is consistent with BPCI Advanced. This slight 
modification of using the anchor hospitalization and anchor procedure 
date of discharge ensures the same approach is applied to target price 
assignment and reconciliation of episodes. As noted in section 
X.C.2.f.(5)(a). of this proposed rule, annual reconciliation is based 
on episodes with a date of discharge from the anchor hospitalization or 
a date of discharge from the anchor procedure during that PY. So, if an 
episode starts in one PY and has an anchor hospitalization discharge 
date that extends past the end of a PY, that episode would factor into 
the next PY's reconciliation, which is consistent with TEAM.
    We seek comment on our proposal at Sec.  [thinsp]512.640(a)(3) for 
applying target prices to an episode that begins in one performance 
year and ends in the subsequent performance year.
(e) High-Cost Outlier Cap for Benchmarking
    Given the broad proposed episode definition and 90-day proposed 
post-discharge period, we want to ensure that hospitals have some 
protection from the downside risk associated with especially high 
payment episodes, where the clinical scenarios for these cases each 
year may differ significantly and unpredictably. As we stated in the 
2015 CJR final rule (80 FR 73335), we do not believe that the 
opportunity for a hospital's systematic care redesign of particular 
surgical episode has the significant potential to impact the clinical 
course of these extremely disparate high payment cases. In the 2015 CJR 
final rule (80 FR 73335), we finalized a policy to limit hospital 
responsibility for high episode payment cases by utilizing a high price 
payment ceiling at two standard deviations above the mean episode 
payment amount in calculating the target price and in comparing actual 
episode payments during the performance year to the target prices. This 
policy was designed to prevent participant hospitals from being held 
responsible for catastrophic episode spending amounts that they could 
not reasonably have been expected to prevent. The policy, and the 
reasoning behind it, is described in detail at (80 FR 73335). However, 
as we described in 86 FR 23518, based on data from the first few years 
of the CJR model, we observed that the original 2 standard deviation 
methodology was insufficient to identify and cap high episode spending, 
as more episodes than expected exceeded the spending cap. We describe 
in detail our reasoning for finalizing a change to the high episode 
spending cap in the 2021 CJR 3-Year Extension final rule (86 FR 23518). 
We finalized a change to the calculation of the high episode spending 
cap to derive the amount by setting the high episode spending cap at 
the 99th percentile of historical costs for each MS-DRG for each 
region. The resulting methodology for the CJR Extension was similar to 
the BPCI Advanced methodology for capping high-cost episode spending at 
the 99th percentile for each MS-DRG. We propose a similar high-cost 
outlier policy for CJR-X, which also aligns with TEAM. We propose to 
cap both baseline episode spending and performance year episode 
spending at the 99th percentile of spending at the MS-DRG/HCPCS episode 
type, region and baseline year, referred to as the ``high-cost outlier 
cap'' and defined at proposed Sec.  512.605. We propose to determine 
the 99th percentile of spending at the MS-DRG/HCPCS episode type, 
region, and baseline year during the applicable time period, and then 
set spending amounts that exceed the high-cost outlier cap to the 
amount of the high-cost outlier cap. For instance, if the high-cost 
outlier cap was set at $30,000, an episode that had actual episode 
spending of $45,000 would have its spending amount, for purposes of the 
model, reduced by $15,000 when the cap was applied and therefore, the 
spending for that episode would be held at $30,000. We propose to use 
capped episode spending when calculating benchmark prices in order to 
ensure that high-cost outlier episodes do not artificially inflate the 
benchmark. When calculating performance year episode spending at 
reconciliation, we

[[Page 19694]]

propose to use capped episode spending so that a CJR-X participant 
would not be held responsible for catastrophic episode spending amounts 
that they could not reasonably have been expected to prevent.
    We seek comment on our proposal at Sec.  512.605 to define ``high-
cost outlier cap'' and our proposal at Sec.  [thinsp]512.640(b)(4) for 
calculating and applying the high-cost outlier cap.
(f) Trending Prices
    Target prices are derived from a prediction based on previous 
Medicare spending patterns, but it is not possible to perfectly predict 
how Medicare spending patterns may change over the course of the 
performance year. In the original BPCI model, prospective target prices 
were not provided to participants, so the trend factor was calculated 
retrospectively based on the observed spending during the performance 
period. Quarterly reconciliations in BPCI meant that participants could 
gain a sense of how their target prices tended to change over time and 
get relatively frequent feedback on their performance in the model. 
However, BPCI participants expressed concern with the uncertainty of 
not knowing their target prices in advance.
    In the initial CJR methodology and Model Years 1 through 3 of BPCI 
Advanced, CMS provided fully prospective target prices to participants. 
Participants appreciated the certainty of prospective target prices, 
where we predict in advance how spending patterns might shift and hold 
those target prices firm even if we underpredicted or overpredicted 
spending. This methodology included applying update factors to account 
for setting-specific payment system updates, allowing us to estimate 
how a given set of services performed during the baseline would be 
priced had those same services been subject to the fee schedules in 
effect during the performance period.
    In CJR, we originally overpredicted performance period spending, 
not accounting for the overall decline in spending on LEJR episodes 
nationwide that occurred outside of the model during its first few 
performance years. In BPCI Advanced, we similarly overpredicted 
performance period spending for certain episodes because our 
methodology was unable to account for medical coding changes that 
occurred between the baseline and performance period, or during the 
performance period itself. For instance, in FY 2016, changes to medical 
coding guidance were made for Inpatient Congestive Heart Failure, such 
that certain patients who during the baseline would have been coded as 
the less expensive MS-DRG 292, were instead coded as the more expensive 
MS-DRG 291. This was done in spite of having the same clinical 
characteristics. This meant that many beneficiaries who received a 
target price associated with the more expensive MS-DRG 291, actually 
had the lower performance period costs previously associated with the 
less expensive MS-DRG 292. The use of a fully prospective trend factor 
was unable to capture these changes in both practice patterns and 
coding guidelines.
    Subsequently, we modified both models' methodologies to include a 
retrospective trend adjustment. Starting in model year 4, we continued 
to provide BPCI Advanced participants with a prospective target price 
using an estimated trend factor, but we adjusted the target price at 
reconciliation based on the retrospective calculation of the trend 
factor using performance period data. Initially, this policy included 
guardrails around the magnitude of the retrospective trend factor 
adjustment of +/-10 percent. In response to participant feedback, we 
lowered the maximum level of the retrospective trend factor adjustment 
to +/-5 percent starting in model year 6.
    In the CJR Extension, the retrospective trend was known as the 
market trend factor adjustment. It was fully retrospective and 
calculated at reconciliation, meaning that the unadjusted target price 
we posted on the CJR website prior to the performance year did not 
include a prospective trend factor. In response to participant 
requests, we provided estimates of the market trend factor on the CJR 
website based on the most recently available data to help participants 
estimate their potential target prices. The market trend factor was 
calculated separately for each MS-DRG/region combination. For the PY 8 
reconciliation (corresponding to episodes that ended between January 1, 
2024 and December 31, 2024), the highest market trend factor was 1.307 
for MS-DRG 469 episodes in the Mountain region, while the lowest market 
trend factor was 0.998 for MS-DRG 470 episodes in the New England 
region.
    In TEAM, we initially proposed a fully prospective trend factor 
adjustment based on the percentage difference between average regional 
MS-DRG/HCPCS episode type expenditures for baseline year 3 (the most 
recent baseline year) and baseline year 1 (the earliest baseline year) 
(89 FR 36430). Based on stakeholder feedback, we ultimately revised 
this approach to align more closely with the modified BPCI Advanced 
methodology. As described in the TEAM final rule (89 FR 69755), TEAM 
participants receive a preliminary target price that incorporates a 
prospective trend factor adjustment for each MS-DRG/HCPCS episode type 
and region, which reflects the average annual change in episode 
spending over the baseline period both regionally and nationally. At 
reconciliation, a retrospective trend factor adjustment is applied to 
preliminary target prices based on the average capped performance year 
episode spending vs. the average capped baseline episode spending. This 
retrospective adjustment is capped at +/- 3 percent of the prospective 
trend adjustment in order to maintain predictability for participants. 
TEAM also further refined their prospective trend approach in the FY 
2026 IPPS/LTCH PPS final rule (90 FR 37099) to incorporate a linear 
regression that includes all years in the baseline period to construct 
the trend, rather than a trend that only looked at the change from 
baseline year 1 to baseline year 3. TEAM also finalized the addition of 
two trend years to capture more years of data in the construction of 
the trend.
    For CJR-X, we are proposing to apply a ``prospective trend 
factor'', defined at proposed Sec.  512.605, as the multiplier 
incorporated into the preliminary target price to estimate changes in 
spending patterns between the baseline period and the performance year. 
We also propose to apply a +/-3 percent capped ``retrospective trend 
factor'', defined at proposed Sec.  512.605, as the multiplier 
incorporated into the reconciliation target price to estimate realized 
changes in spending patterns during the performance year. This 
methodology would be similar to the approach used in TEAM. The key 
difference from TEAM is that CJR-X will not include the two trend years 
in the prospective trend factor, because we want to keep consistent the 
time frame of data we are sharing with CJR-X participants to the data 
used to construct target prices. For example, CJR-X would share three 
years of baseline data with CJR-X participants which would align with 
the baseline period used to construct the prospective trend, whereas 
TEAM shares three years of data that encompasses their baseline period 
but TEAM participants do not receive data associated with the two trend 
years. We believe using an approach similar with TEAM's, specifically 
applying a prospective trend with a +/-3 percent capped retrospective 
trend factor, will better

[[Page 19695]]

account for significant spending changes that are not accounted for in 
the baseline while also ensuring that trends in regions where 
efficiency is improving over time do not overshoot what is feasible, 
leading to target prices that more accurately reflect spending patterns 
during the performance period.
    Given our proposal to use a prospective trend factor to predict 
future spending for the purposes of pricing stability, we considered 
but are not proposing to include update factors that take into account 
Medicare payment system updates for each FY or CY and could improve 
pricing accuracy. Specifically, we considered a methodology similar to 
BPCI Advanced and Performance Years 1-5 of the CJR Model, where 
preliminary target prices were updated to reflect the most current FY 
and CY payment system rates using setting-specific update factors for 
payment system, including the IPPS, OPPS, Physician Fee Schedule (PFS), 
Home Health Prospective Payment System (HH PPS), Medicare Economic 
Index (MEI), the IRF PPS, and the SNF PPS. However, updating target 
prices using setting-specific update factors would result in CJR-X 
participants receiving more than one target price for an MS-DRG/HCPCS 
episode type in a performance year which can increase complexity. 
Further, while including update factors would generally increase target 
prices, it also decreases pricing stability since the preliminary 
target price would change due to the application of update factors. 
However, we are interested in capturing the most accurate episode 
spending in CJR-X that captures these payment system updates. We have 
included a proposal in section X.C.2.f.(5)(d). of this proposed rule to 
account for this by updating the preliminary target price when 
constructing the reconciliation target price that avoids sharing update 
factors and having CJR-X participants manage multiple preliminary 
target prices within a given performance year.
    We also considered, but are not proposing, alternative caps on the 
retrospective adjustment, including +/-5 percent and +/-10 percent of 
the prospective trend adjustment. Ultimately, we believe that a 
narrower adjustment range would improve stability and predictability 
for CJR-X participants. A lower cap on retrospective adjustments also 
mitigates the risk that target prices will be disproportionately 
impacted by performance year shifts in spending patterns that could not 
have been foreseen.
    We seek comment on our proposal at Sec.  512.640(b)(7) to apply a 
prospective trend factor to preliminary target prices and our proposal 
at Sec.  512.645(f) to apply a retrospective trend factor with a +/-3 
percent cap. We seek comment on our proposals at Sec.  512.605 to 
define ``prospective trend factor'' and ``retrospective trend factor.''
    We are also requesting comment on alternative ways to calculate the 
trend factor to both increase accuracy of prospective target prices and 
to mitigate the ratchet effect. We recognize that spending on LEJR 
episodes has been decreasing over time and may reach a point where 
further decreases in spending could compromise quality and patient 
safety. The downward trend in LEJR episode spending we observed in the 
early years of CJR has stabilized in more recent years, suggesting that 
there may no longer be as much of an opportunity for participant 
savings as there was in the early years of CJR. In the case where 
spending has been decreasing but has since stabilized, trending the 
episode target price forward based on previous years' trends could 
result in target prices that are too low. In such a scenario, a 
retrospective trend adjustment might actually result in a higher target 
price than a fully prospective trend. We are seeking comment on ways to 
construct a trend factor that can result in a reasonable target price 
regardless of whether spending has been increasing, decreasing, or 
stabilizing.
    For example, in the CY 2023 Physician Fee Schedule final rule, CMS 
finalized a policy to include a prospectively-determined component, the 
Accountable Care Prospective Trend (ACPT), in the factor used to update 
the benchmark to the performance year for ACO agreement periods 
starting on or after January 1, 2024 (see 87 FR 69881 to 69898). This 
would help address the ratchet effect by insulating a portion of the 
update factor from the impact that ACO savings can have on 
retrospective national and regional spending trends. This type of trend 
is referred to as an administrative trend, because it is not directly 
linked to ongoing observed FFS spending. However, we recognize that 
there may be some concerns using administrative trends for episode-
based payment models, as opposed to population-based payment models 
like ACOs, because administrative trends may not capture episode-
specific trends, which could lead to higher or lower preliminary target 
prices when compared to actual performance year spending. We request 
comment on this type of trending approach, or other potential ways to 
increase the accuracy of prospective target prices and mitigate the 
ratchet effect when we update CJR-X target prices.
(g) Discount Factor
    In addition to the prospective trend factor, at proposed Sec.  
512.640(b)(8) we propose to apply a discount factor, defined at 
proposed Sec.  512.605, to the benchmark price when calculating 
preliminary target prices. Specifically, we propose to apply a 2 
percent discount factor to the benchmark price to serve as Medicare's 
portion of reduced expenditures from the episode. This discount would 
be similar to the 2 percent discount factor applied to LEJR episode 
target prices in TEAM.
    In both the CJR Model and BPCI Advanced, we applied a 3 percent 
discount to benchmark prices when calculating preliminary target prices 
for LEJR episodes. However, based on evidence and participant feedback 
from the final performance years of the CJR Extension, we believe that 
a 3 percent discount would not be sustainable for an expanded model and 
could result in more price ratcheting over a longer time horizon.
    We also considered but are not proposing lower discount factors 
including 1.5 percent, 1 percent, or no discount factor. In addition, 
we considered linking the discount to variability in episode spending 
during the baseline, such that an episode with minimal variability in 
baseline spending might have a lower discount percentage, given that 
lower variability in baseline spending might indicate fewer 
opportunities for savings. We also considered but are not proposing to 
incrementally reduce the discount rate over a predetermined timeline 
and different ways to adjust the Medicare discount over time or based 
on differential savings opportunities for different episode types.
    We seek comment on our proposal at Sec.  512.605 to define 
``discount factor'' and on our proposal at Sec.  512.640(b)(8) to apply 
a 2 percent discount factor to preliminary episode target prices for 
CJR-X. We also seek comment on alternative discounts and discount 
adjustments.
(h) Special Considerations for Low Volume Hospitals
    In both the CJR Model and BPCI Advanced, we recognized that 
hospitals that perform a number of episodes below a certain volume 
threshold would have insufficient volume to receive a target price 
based on their own baseline data. In the 2015 CJR final rule (80 FR 
73285), we acknowledged that such hospitals might not find it in their 
financial interests to make systemic care

[[Page 19696]]

redesigns or engage in an active way with the CJR model. At 80 FR 
73292, we acknowledged commenter concerns about low volume providers, 
including but not limited to, observations that low volume providers 
could be less proficient in taking care of LEJR patients in an 
efficient and cost-effective manner, more financially vulnerable with 
fewer resources to respond to the financial incentives of the model, 
and disproportionately impacted by high-cost outlier cases. In spite of 
these potential challenges, we stated that the inclusion of low volume 
hospitals in the CJR Model was consistent with the goal of evaluating 
the impact of bundled payment and care redesign across a broad spectrum 
of hospitals with varying levels of infrastructure, care redesign 
experience, market position, and other considerations and circumstances 
(80 FR 73292).
    In the CJR Model, we set the low volume threshold as fewer than 20 
LEJR episodes across the 3-year baseline years of 2012 through 2014. 
Low volume hospitals received target prices based on 100 percent 
regional data, rather than a blended target price that incorporated 
their participant-specific data, because a target price based on 
limited data is less likely to be accurate and reliable. These 
hospitals were also subject to the lower stop-loss limits that we 
offered to rural hospitals, in recognition of the fact that they might 
be less prepared to take on downside risk than hospitals with higher 
episode volume. In the CJR 2017 final rule that reduced the number of 
mandatory MSAs, low volume hospitals were among the types of hospitals 
that were required to opt in if they wanted to remain in the model (82 
FR 57072). In the 2020 final rule, we removed the remaining low volume 
hospitals from the CJR Extension when we limited the ``participant 
hospital'' definition to those hospitals that had been mandatory 
participants throughout the model (86 FR 23497).
    In BPCI Advanced, our low volume threshold policy was to not 
provide a target price for a given clinical episode category if 
performed at a hospital that did not meet the 41 clinical episode 
minimum volume threshold during the 4-year baseline period. This meant 
that no BPCI Advanced episodes would be triggered for that particular 
clinical episode category during the applicable performance period at 
that hospital. However, participants could continue to trigger other 
clinical episode categories for which they had enrolled and for which 
there was sufficient baseline volume. Additionally, clinical episodes 
that occurred at the hospital during the performance period, though not 
triggering a BPCI Advanced episode, would count toward the low volume 
threshold when that year became part of the baseline. Therefore, as the 
baseline shifted forward each year, bringing a more recent year into 
the baseline and dropping the oldest year, a hospital could potentially 
meet the volume threshold and receive a target price for the clinical 
episode category for a subsequent performance period.
    In TEAM, if a TEAM participant does not meet the minimum baseline 
threshold of at least 31 episodes in a given episode category during 
the baseline period, the hospital's episodes are included in 
reconciliation calculations, but the hospital will not be held 
financially accountable for spending that exceeds the target price for 
that episode category in that performance year. This effectively waives 
downside financial risk for the hospital for any episode categories in 
which it did not meet the low-volume threshold, providing protection 
against undue financial exposure while still allowing the hospital to 
participate in the model and benefit from savings, if applicable. We 
believe this policy is appropriate for TEAM given the increased number 
of episode categories mandatorily tested compared to the original CJR 
model and its time-limited test compared to longer-term CMS 
initiatives.
    For CJR-X, we are proposing a low volume policy that aligns with 
the approach we tested in BPCI Advanced because low volume hospitals 
were voluntary and ultimately removed from participation at the time of 
CJR Extension. We do not believe removing or excluding low volume 
hospitals is a good long-term policy for CJR-X since we recognize 
episode volumes can change over time. Also, there also may be instances 
when a hospital is just starting out and may have low volumes but then 
ramp up operations and see a substantial number of beneficiaries for 
LEJR procedures. Thus, we believe a better policy for CJR-X would be to 
have a low volume policy that is responsive to episode volume changes 
year over year and acknowledges hospitals with low volume may not have 
the ability to spread risk when there is an insufficient number of 
procedures being performed. We propose at Sec.  512.605 to define 
``low-volume hospital'' as a hospital with fewer than 31 LEJR episodes 
performed during the applicable baseline period. We propose at Sec.  
512.640(a)(4) that low-volume hospitals would be excluded from 
reconciliation for the performance year. As in BPCI Advanced, hospitals 
that do not meet the minimum volume threshold for a given performance 
year would not trigger CJR-X episodes or receive a target price. Any 
LEJR episodes performed at these hospitals during the performance year 
would be excluded from regional benchmark calculations, although they 
would count toward the low volume threshold when that year becomes part 
of the baseline. Therefore, as the baseline shifts forward each year, 
bringing a more recent year into the baseline and dropping the oldest 
year, a hospital could potentially meet the volume threshold and 
trigger CJR-X episodes for a subsequent performance period.
    We considered implementing minimum episode volume thresholds during 
the performance year. Specifically, we considered excluding CJR-X 
participants from reconciliation if they initiate fewer than 10 or 15 
LEJR episodes during that performance year. However, we are concerned 
that including minimum episode volume thresholds during the performance 
year may introduce program integrity issues where CJR-X participants 
steer CJR-X beneficiaries to other providers to be below the threshold 
and not be accountable for episodes in CJR-X.
    We seek comment on our proposal at Sec.  512.605 to define ``low-
volume hospital'' and our proposal at Sec.  512.640(a)(4) for setting 
and applying the low volume threshold at reconciliation.
(i) Preliminary Target Prices
    We propose to define ``preliminary target price'' as the target 
price provided to the CJR-X participant prior to the start of the 
performance year, which is subject to adjustment at reconciliation. We 
propose at Sec.  512.640(b)(9) that CMS would provide preliminary 
target prices to CJR-X participants, in a form and manner specified by 
CMS, prior to the start of each performance year. For instance, since 
the earliest episodes for a given performance year would end on January 
1, and most of these episodes would have been initiated by an anchor 
hospitalization or anchor procedure that occurred near the end of 
November or the beginning of December of the previous calendar year, we 
propose to provide preliminary target prices to the CJR-X participant 
by the end of November prior to each performance year. We propose that 
preliminary target prices would be based on regional episode spending 
during the baseline period. CJR-X participants would receive the 
preliminary target prices for each MS-DRG/HCPCS episode type that 
corresponded to their region. We propose that these preliminary target 
prices would incorporate a prospective

[[Page 19697]]

trend factor (as described in section X.C.2.f.(3)(f). of this proposed 
rule) and a discount factor (as described in section X.C.2.f.(3)(g). of 
this proposed rule), as well as a prospective normalization factor (as 
described in section X.C.2.f.(4). of this proposed rule).
    We seek comment on our proposal at Sec.  512.640(b)(9) to provide 
preliminary target prices to CJR-X participants prior to the start of 
each performance year.
(4) Risk Adjustment and Normalization
    In the original CJR Model methodology, we first proposed that risk 
adjustment be limited to providing separate target prices for episodes 
initiated by MS-DRG 469 versus MS-DRG 470, because MS-DRGs under the 
IPPS are designed to account for some of the clinical and resource 
variations that exist and that impact hospitals' costs of providing 
care (80 FR 73338). In response to comments requesting further risk 
adjustment, in the 2015 CJR final rule we finalized a policy to risk 
adjust target prices based on the presence of a hip fracture diagnosis 
code in order to capture a significant amount of patient-driven episode 
expenditure variation (80 FR 73339). As a result, we provided four 
separate target prices to participant hospitals based on MS-DRG 469 
versus MS-DRG 470, and presence versus absence of a primary hip 
fracture. The impact of hip fractures on inpatient costs associated 
with a hip replacement was subsequently acknowledged by CMS' decision 
to create two new MS-DRGs (521 and 522) for hip replacements in the 
presence of a primary hip fracture (85 FR 58432). We incorporated these 
new MS-DRGs into the CJR Model episode definition as of October 1, 2020 
via the November 2020 Interim Final Rule with Comment (IFC) (85 FR 
71170).
    In the 2021 CJR 3-Year Extension final rule, we acknowledged the 
need for further risk adjustment to account for beneficiary-level 
factors that tend to impact spending in a way that is beyond the 
control of the provider. We introduced age bracket (less than 65 years, 
65 to 74 years, 75 to 84 years, and 85 years or more), CJR HCC count 
(zero, one, two, three, and four or more), and dual eligibility 
(receiving both full Medicare and Medicaid benefits) as beneficiary-
level risk adjustment factors that would be applied to each episode at 
reconciliation. The definition of these risk adjustment variables, and 
our reasoning for incorporating them into the risk adjustment 
methodology, is described in detail at 86 FR 23523.
    The coefficients for the risk adjustment variables in the CJR 
Extension were calculated prospectively, prior to the beginning of each 
performance year, using a linear regression model. As we stated at 86 
FR 23524, this regression model approach would allow us to estimate the 
impact of each risk adjustment variable on the episode cost of an 
average beneficiary, based on typical spending patterns for a 
nationwide sample of beneficiaries with a given number of CMS-HCC 
conditions, within a given age bracket, and with dual eligibility or 
non-dual eligibility status. We used an exponential model to account 
for the fact that LEJR episode costs are not normally distributed. A 
detailed description of the regression model begins at 86 FR 23524.
    At reconciliation, after applying the high-cost episode cap to 
remove outliers, the risk adjustment coefficients for the three risk 
adjustment variables were applied to the episode-level target price 
based on the applicable episode region and MS-DRG. However, since age, 
CJR HCC count, and dual eligibility status are inherently included in 
the regional target price, since regions with beneficiaries who are 
older, more medically complex, and socioeconomically disadvantaged tend 
to have higher average episode costs, we applied a normalization factor 
to remove the overall impact of adjusting for age, CJR HCC count, and 
dual eligibility on the national average target price, as described at 
86 FR 23527.
    By contrast, BPCI Advanced used a more complex risk adjustment 
model that included many more risk adjustment coefficients, including 
both patient and provider characteristics. Categories of patient 
characteristics included (but were not limited to): HCCs (individual 
flags, interactions, and counts), recent resource use, and 
demographics. Provider characteristics, which were used to group 
hospitals into peer groups, included bed size, rural vs. urban, safety 
net vs. non-safety net, and whether or not the participant was a major 
teaching hospital. The first stage of the BPCI Advanced risk adjustment 
methodology used a compound log-normal model in order to account for 
the substantial right skew of the distribution of episode costs. This 
means that it combined two log-normal distributions in order to capture 
costs associated with both low-cost episodes (which were the majority 
of episodes) and very high-cost episodes (which were fewer in number 
but exerted a strong influence on spending averages). However, 
participants found this risk adjustment model difficult to interpret, 
particularly since it was not widely used in other research or 
healthcare models.
    For TEAM, in an effort to simplify the risk adjustment methodology 
and allow participants to more easily calculate an episode-level 
estimated target price, we based our methodology on the CJR Extension 
methodology, with a few key differences. Rather than calculating one 
national set of risk adjusters across all MS-DRGs for a given episode 
category, we calculate risk adjustment coefficients at the MS-DRG/HCPCS 
episode type level. We considered calculating risk adjustment at the 
MS-DRG/HCPCS episode type/region level, but we believed that, when 
further subdivided into regions, the low volume of episodes for certain 
MS-DRG/HCPCS episode types would be insufficient to create accurate and 
reliable risk adjustment multipliers.
    In the TEAM proposed rule, we initially proposed to use three 
beneficiary-level risk adjustment variables that were similar to the 
CJR Extension methodology, with two key differences. First, instead of 
using the annual HCC file to calculate the HCC count variable, we 
proposed to conduct a 90-day lookback of FFS Medicare claims for each 
beneficiary, beginning with the day prior to the anchor hospitalization 
or anchor procedure, and count the number of HCC flags assigned. We 
subsequently revised this to a 180-day lookback in the final rule (90 
FR 37105). Second, instead of a dual-eligibility risk adjustment 
variable, we proposed a more comprehensive approach which accounted for 
dual eligibility status, as well as Low Income Part D Subsidy 
qualification and area-level socioeconomic deprivation. As discussed in 
the TEAM final rule (90 FR 37103), this beneficiary economic risk 
adjustment functions as a binary (yes=1, no=0) variable, with a value 
of 1 being assigned to episodes where the beneficiary meets at least 
one of the following three criteria as of the first day of the episode: 
(1) resides in an area that exceeds the 80th percentile threshold for 
National Community Deprivation Index; (2) eligible for Medicare Part D 
Low Income Subsidy; and (3) eligible for full Medicaid benefits.
    In addition to the three initially proposed risk adjustment 
variables, several additional beneficiary and participant-level risk 
adjustments were added to the TEAM target price methodology in response 
to public comments. This includes hospital-level adjustments for bed 
size (250 beds or fewer, 251-500 beds, 501-850 beds, or 851+ beds) and 
safety net status, as

[[Page 19698]]

defined in 42 CFR 512.505. Additionally, TEAM applies several episode 
category-specific beneficiary risk adjustment factors to target prices 
that were not used in the CJR Extension. These episode category-
specific risk adjustment factors reflected the presence or absence of 
certain conditions or services during the 180-day lookback period. For 
the LEJR episode category, this includes binary risk adjustments 
(yes=1, no=0) for prior post-acute care use, disability as the original 
reason for Medicare enrollment, LEJR procedure, and 21 HCC flags, as 
detailed in 42 CFR 512.545(a)(6)(ii), including, but not limited to, 
morbid obesity [HCC 48] and diabetes with severe acute [HCC 36] or 
chronic [HCC 37] complications. The decision to risk adjust based on 
individual HCCs, in addition to the aggregate HCC count adjustment, was 
intended to reflect the differential effects that individual chronic 
conditions like diabetes or chronic kidney disease can have on total 
episode spending, allowing us to provide more accurate and nuanced 
target prices.
    Another key difference between the TEAM and CJR Extension risk 
adjustment methodologies is that, in TEAM, we provide a prospective 
normalization factor with preliminary target prices. This prospective 
normalization factor is subject to a limited adjustment at 
reconciliation based on the observed case mix, up to +/-5 percent. This 
allows participants to better estimate their target prices, as it 
incorporates the normalization factor prospectively, rather than only 
introducing the normalization factor at reconciliation. We believe that 
this approach strikes a balance between predictability and protecting 
TEAM participants and CMS from significant shifts in patient case mix 
between the final baseline year and the performance year.
    For CJR-X, we are proposing at Sec.  512.645 to use the same risk 
adjustment methodology and variables, as defined at proposed Sec.  
512.605, that are used in TEAM. Specifically, we propose the following:
     To risk adjust target prices at the hospital level using a 
hospital bed size risk adjustment factor and a safety net risk 
adjustment factor.
     To risk adjust target prices at the beneficiary level 
using a 180-day lookback period to construct a ``CJR-X HCC count risk 
adjustment factor'', an ``age bracket risk adjustment factor'', a 
``beneficiary economic risk adjustment factor'', and based on certain 
conditions or HCCs in the 180-day lookback period including--
    ++ Ankle procedure or reattachment, partial hip procedure, partial 
knee arthroplasty, total hip arthroplasty or hip resurfacing procedure, 
and total knee arthroplasty;
    ++ Disability as the original reason for Medicare enrollment;
    ++ Prior post-acute care use;
    ++ HCC 17: Cancer Metastatic to Lung, Liver, Brain, and Other 
Organs; Acute Myeloid Leukemia Except Promyelocytic;
    ++ HCC 36: Diabetes with Severe Acute Complications;
    ++ HCC 37: Diabetes with Chronic Complications;
    ++ HCC 48: Morbid Obesity;
    ++ HCC 125: Dementia, Severe;
    ++ HCC 126: Dementia, Moderate;
    ++ HCC 127: Dementia, Mild or Unspecified;
    ++ HCC 151: Schizophrenia;
    ++ HCC 155: Major Depression, Moderate or Severe, without 
Psychosis;
    ++ HCC 199: Parkinson and Other Degenerative Disease of Basal 
Ganglia;
    ++ HCC 224: Acute on Chronic Heart Failure;
    ++ HCC 225: Acute Heart Failure (Excludes Acute on Chronic);
    ++ HCC 226: Heart Failure, Except End-Stage and Acute;
    ++ HCC 238: Specified Heart Arrhythmias;
    ++ HCC 253: Hemiplegia/Hemiparesis[
    ++ HCC 267: Deep Vein Thrombosis and Pulmonary Embolism;
    ++ HCC 280: Chronic Obstructive Pulmonary Disease, Interstitial 
Lung Disorders, and Other Chronic Lung Disorders;
    ++ HCC 326: Chronic Kidney Disease, Stage 5;
    ++ HCC 327: Chronic Kidney Disease, Severe (Stage 4);
    ++ HCC 383: Chronic Ulcer of Skin, Except Pressure, Not Specified 
as Through to Bone or Muscle;
    ++ HCC402: Hip Fracture/Dislocation.
     Include a ``prospective normalization factor'' that would 
be subject to a limited adjustment at reconciliation based on the 
observed case mix, up to +/-5 percent to construct the ``final 
normalization factor''. This is inclusive of TEAM's proposal to include 
the full baseline period in the construction of the prospective 
normalization factor, as discussed in section X.A.2.c.(3) of this 
proposed rule.
    As described in section X.C.2.f.(1)(c) of this proposed rule, TEAM 
was designed to blend and improve upon policies from both BPCI Advanced 
and the CJR Model based on the cumulative evidence from both model 
tests. For CJR-X, we propose adopting the TEAM risk adjustment 
methodology as it represents a balanced evolution from prior models. 
The original CJR approach, while straightforward, was deficient in 
accounting for key patient and provider complexities. In contrast, the 
BPCI Advanced model offered precision but proved too complex for 
participants to interpret. The TEAM methodology synthesizes the best of 
both, integrating more precise adjustments for specific conditions and 
socioeconomic factors--thus improving upon CJR's simplicity--without 
sacrificing the transparency that was lost in BPCI Advanced. This 
balanced approach makes TEAM the superior foundation for CJR-X, 
ensuring target prices are both equitable and actionable.
    We considered, but are not proposing, a more nuanced approach to 
the safety net hospital risk adjustment that segmented hospitals into 3 
or more groups based on the share of FFS inpatient episodes provided to 
dual-eligible beneficiaries. We recognize that a binary risk adjustment 
for safety net hospitals may not accurately reflect the financial 
challenges for participants with a high percentage of dual-eligible 
episodes that do not meet the threshold for being classified as a 
safety net hospital, as defined in proposed Sec.  512.605. For example, 
the financial challenges faced by hospitals that fall just below the 
threshold are likely similar to those for hospitals that fall just 
above it. Furthermore, we recognize that for participants on the 
margin, their status as a safety net hospital may change from year to 
year due to random variance and that this may not reflect the more 
persistent nature of the underlying challenges that the risk adjustment 
is attempting to address. However, we are concerned that the further 
segmentation of hospitals into smaller groups may result in sample size 
and accuracy problems. We propose that a safety net hospital in CJR-X 
is a hospital in the top 25th percentile in their region for percentage 
of FFS LEJR inpatient episodes provided to dually eligible 
beneficiaries during the applicable baseline period. We seek comment on 
the proposal Sec.  512.605 to use a binary safety net hospital risk 
adjustment.
    To summarize, for CJR-X we propose a risk adjustment methodology 
based on the TEAM methodology. As in both TEAM and the CJR Extension, 
we propose to use baseline data to calculate risk adjustment 
multipliers and hold them constant at reconciliation. We propose that 
participants would be provided with these risk adjustment multipliers 
prior to the start of the performance year and would be able to

[[Page 19699]]

use them to estimate their episode-level target prices. We propose 
that, as in TEAM, these risk adjustment multipliers would be calculated 
at the MS-DRG level, resulting in a separate set of risk adjustment 
multipliers for each MS-DRG episode type. We also propose to 
incorporate a prospective normalization factor into preliminary target 
prices, which would be subject to a limited adjustment at 
reconciliation.
    We seek comment on our proposals at Sec.  [thinsp]512.645(a-d) for 
risk adjusting episodes and at Sec.  512.605 for the definitions of 
``age bracket risk adjustment factor'', ``beneficiary economic risk 
adjustment factor'', ``CJR-X HCC count risk adjustment factor'', 
``final normalization factor'', ``prospective normalization factor'', 
and ``safety net hospital''.
(5) Proposed Process for Reconciliation
    In the CJR Model, we performed an annual reconciliation calculation 
to compare CJR Model PY spending for a CJR participant to a 
reconciliation target price in order to determine if CMS owed the CJR 
participant a reconciliation payment, or if the CJR participant owed 
CMS a repayment. This section outlines our proposals for conducting an 
annual reconciliation process in CJR-X. As was the case in the CJR 
Model, we propose to incorporate the participant's quality performance 
into the reconciliation calculation by adjusting the reconciliation 
target price for quality based on the CJR-X participant's CQS, which 
would be constructed from their performance on the proposed quality 
measures discussed in section X.C.2.e. of this proposed rule. The 
proposed quality adjustment is discussed in more detail in section 
X.C.2.f.(5)(f). of this proposed rule. We propose to update the trend 
factor as discussed in section X.C.2.f.(3)(f). of this proposed rule, 
and apply episode-level risk adjustment and update the normalization 
factor as discussed in X.C.2.f.(4). of this proposed rule. We propose 
to calculate the difference between the participant's aggregated 
reconciliation target price across all episodes and their episode 
spending to create the raw NPRA. We propose to apply stop-loss/stop-
gain limits to the raw NPRA to determine the CJR-X participant's NPRA. 
Finally, we propose to subtract the post-episode spending amount from 
the NPRA, when applicable, to determine the reconciliation payment or 
repayment amount.
    We refer readers to section X.C.2.d.(3). of this proposed rule for 
our definition of related services for our episodes, to section X.C.2.a 
of this proposed rule for our definition of performance years, and to 
section X.C.2.f.(3) of this proposed rule for our approach to establish 
preliminary target prices.
(a) Annual Reconciliation
    As we did in the CJR Model, we propose to conduct an annual 
reconciliation calculation that would compare performance year spending 
on episodes with a date of discharge from the anchor hospitalization or 
a date of discharge from the anchor procedure during that PY with 
reconciliation target prices for those episodes to calculate a 
reconciliation amount for each CJR-X participant. We would reconcile, 
on an annual basis, all episodes attributed to a CJR-X participant that 
end in a given fiscal year during the performance period. As we stated 
in the 2015 CJR final rule that finalized the CJR Model (80 FR 73385) 
and reiterated in the FY 2025 IPPS/LTCH PPS final rule that finalized 
TEAM (89 FR 69773), we believe that one annual reconciliation 
accommodates the need for regular performance feedback while minimizing 
the administrative burden of more frequent reconciliations.
    We seek comment on this proposal at Sec.  512.650 to conduct one 
reconciliation for each performance year.
(b) Timing
    We propose to conduct the annual reconciliation of each CJR-X 
participant's actual episode payments against the target price(s) 
roughly 6 months after the end of the performance year, consistent with 
the 6 months of claims runout we allowed for the reconciliation in the 
CJR Extension for CJR Model PYs 6 through 8. As we stated in the 2021 
CJR 3-Year Extension final rule that finalized the CJR Extension (85 FR 
23519) and reiterated in the FY 2025 IPPS final rule that finalized 
TEAM (89 FR 69773), we believe that 6 months is sufficient time for 
claims runout given that an internal review of Medicare claims data 
found that 98.71 percent of IP claims had been received, and 89.96 
percent were considered final, by 6 months after the date of 
service.\482\ For HOPD claims, those rates were 98.10 percent and 95.78 
percent, respectively. Similar rates were found for all other types of 
claims, including Carrier, SNF, HH, and DME, indicating that we would 
have a nearly complete picture of performance year spending by 6 months 
after the end of the performance year. Since we are proposing that CJR-
X performance years will align with the fiscal year (October to 
September) rather than the calendar year, we propose to capture claims 
submitted by April 1st following the end of the performance year and 
carry out the NPRA calculation as described previously to make a 
reconciliation payment or hold CJR-X participants responsible for 
repayment.
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    \482\ Chronic Conditions Data Warehouse: Medicare Claims 
Maturity White Paper https://www2.ccwdata.org/documents/10280/19002256/medicare-claims-maturity.pdf.
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    We seek comment on our proposal at Sec.  [thinsp]512.560(b) to 
perform reconciliation 6 months after the end of the performance year.
(c) Participants That Experience a Reorganization Event
    In the CJR Model, we recognized that there could be CJR 
participants that experience a reorganization event during a given 
performance year. We are proposing to align CJR-X policies for 
reorganization events with those of the CJR Model. At proposed Sec.  
512.605, we propose to define a ``reorganization event'' as a merger, 
consolidation, spin-off or other restructuring that results in a new 
hospital entity under a given CCN. As a result of such an event, the 
CJR-X participant may begin billing under a different CCN, or an 
additional entity could be incorporated into the CJR-X participant's 
existing CCN, resulting in a new hospital entity. For instance, CJR-X 
participant A may merge with, or be purchased by, CJR-X participant B 
and begin billing under CJR-X participant B's CCN. In this case, we 
propose to perform separate reconciliation calculations for CJR-X 
participant A and CJR-X participant B for those episodes where the 
anchor hospitalization admission or the anchor procedure occurred 
before the effective date of the merger or purchase. We propose to 
reconcile episodes where the anchor hospitalization admission or the 
anchor procedure occurred on or after the effective date of the merger 
or purchase under the new or surviving CCN that applies to the blended 
entity. We are proposing this policy in recognition that the blended 
entity may have different spending patterns, or a different overall 
patient case mix, than the two separate entities prior to the merger. 
In a different instance, if a CJR-X participant merges into or is 
purchased by a hospital that is excluded from CJR-X participation as 
specified in proposed Sec.  512.610(b) and begins billing under the CCN 
of the non-CJR-X participant, we propose to reconcile episodes for the 
CJR-X participant where the anchor hospitalization admission or the 
anchor procedure occurred before the effective date of the merger or 
purchase. This policy would allow for the CJR-X participant to earn a 
reconciliation payment or owe a repayment for the episodes that

[[Page 19700]]

occurred during the portion of the performance year that they were in 
the model. However, once the CJR-X participant begins to bill under the 
non-CJR-X participant's CCN, the blended entity would not be considered 
a CJR-X participant and we would not reconcile episodes where the 
anchor hospitalization admission or the anchor procedure occurred on or 
after the effective date of the merger or purchase under the new or 
surviving CCN that applies to the blended entity.
    We seek comment on our proposal at Sec.  [thinsp]512.650(b)(2) for 
conducting reconciliations for CJR-X participants that experience a 
reorganization event during a given performance year.
(d) Updating Preliminary Target Prices To Create Reconciliation Target 
Prices
    As discussed in sections X.C.2.f.(3)(f). and X.C.2.f.(4). of this 
proposed rule, we are proposing to apply beneficiary-level risk 
adjustment and a limited adjustment to the prospective trend factor and 
normalization factor, as applicable, to increase the accuracy of our 
reconciliation calculations. At the time of reconciliation, we would 
apply these adjustments, if applicable, to the preliminary target 
prices we calculated and communicated to CJR-X participants prior to 
the applicable performance year, as described in Section 
X.C.2.f.(5)(d). of this proposed rule. Additionally, preliminary target 
prices would be adjusted for geographic wage factor updates, similar to 
the CJR Model, to convert target prices, which were previously 
expressed in standardized dollars, into ``real'' or unstandardized 
amounts. Application of these adjustments to the preliminary target 
price, in addition to the Composite Quality Score adjustment described 
in section X.C.2.f.(5)(e). of this proposed rule, will result in the 
reconciliation target price. We note that in some cases, the final 
target price applied to an episode in a given performance year at 
reconciliation will not change. In addition, in some cases the 
reconciliation target price will increase from the preliminary target 
price provided prior to the performance year, potentially benefiting 
CJR-X participants. For instance, if the prospective trend was 0.98 and 
the prospective normalization factor were calculated as 0.85, but the 
realized spending trends and beneficiary case mix during the 
performance year differed from the values constructed for preliminary 
target prices, such that the capped retrospective trend adjustment 
factor was 1.10 and the capped final normalization factor were 
calculated as 0.87, the reconciliation target price would incorporate 
these updated factors and therefore be higher than the preliminary 
target price.
    Furthermore, we recognize that due to the availability of data and 
the timing of when preliminary target prices would be shared with CJR-X 
participants, the most up-to-date payment data from CMS payment rules, 
including the Calendar Year OPPS/ASC rule and the Fiscal Year IPPS/LTCH 
PPS rule would not be captured in the prices. Typically, CMS proposes 
and finalizes coding or rate changes, as applicable, through 
established annual payment rules. While we recognize the retrospective 
trend factor adjustment will take into account realized spending trends 
during the performance year, given the proposed 3 percent cap, we are 
concerned the retrospective trend factor adjustment may not capture 
payment rate changes or other changes, such as ambulatory payment 
classification (APC) or MS-DRG changes that arise from these payment 
rules. Therefore, we propose at Sec.  512.645(g) during reconciliation 
target price construction to update the preliminary target price to 
account for updated payment rule changes to reflect episode spending 
during the performance year. We recognize that accounting for payment 
rule changes during reconciliation target price construction rather 
than sharing updated preliminary target prices during the performance 
year may result in CJR-X participants not having the most updated 
information during the performance year. We note this methodology 
differs from TEAM's proposal in section X.A.2.c.(2). of this proposed 
rule. We believe this approach is appropriate for CJR-X given the 
single episode category tested in CJR-X and anticipate fewer coding 
changes affecting the LEJR episode. We considered but are not proposing 
to update and deliver preliminary target prices to CJR-X participants 
for each calendar and fiscal year final rule. We believe managing three 
different preliminary target prices in a given performance year will 
increase participant burden and pricing methodology complexity. Lastly, 
we also considered but are not proposing removing the 3 percent capping 
of the retrospective trend factor adjustment. Applying a full 
retrospective trend factor to reconciliation target prices, rather than 
capping at 3 percent would account for actual performance year spending 
and would incorporate payment rule changes not captured in preliminary 
target prices. However, we recognize that removing the 3 percent cap 
may introduce target price instability making it more difficult for 
CJR-X participants to predict reconciliation target prices and assess 
spending performance in the model.
    We seek comment on our proposal at Sec.  512.645(g) to account for 
payment system changes during the construction of reconciliation target 
prices.
(e) Applying Composite Quality Score to Reconciliation Target Prices
(i) Overview
    Similar to the CJR Model, we proposed in section X.C.2.f.(3)(g). of 
this proposed rule to include a discount factor for all CJR-X 
participants that would be incorporated into preliminary target prices. 
While the CJR Model included a 3.0 percent discount factor (80 FR 
73353), we are proposing a 2.0 percent discount factor for CJR- X that 
takes into consideration the opportunity for CJR-X participants to find 
savings and acknowledges the reductions in LEJR spending since the CJR 
Model was implemented. CJR-X participants that provide high-quality 
episode care would have the opportunity to reduce the effective 
discount factor used to calculate their reconciliation target price. As 
in the CJR Model, we are proposing to adjust the discount factor based 
on the CJR-X participant's composite quality score by categorizing them 
into one of four categories, specifically ``Excellent,'' ``Good,'' 
``Acceptable,'' and ``Below Acceptable,'' for each performance year. 
Based on where the CJR-X participant is categorized, then they may 
receive a reduction to their discount factor, no reduction to their 
discount factor, or no reduction and ineligibility to receive a 
reconciliation payment.
(ii) Adjusting the Discount Factor
    We propose to incorporate the composite quality score, as described 
in section X.C.2.e.(6) in this proposed rule, in the CJR-X pricing 
methodology by (1) requiring a minimum composite quality score for 
reconciliation payment eligibility if the CJR-X participant's actual 
episode payments are less than the reconciliation target price and (2) 
determining the effective discount factor included in the 
reconciliation target price experienced by the CJR-X participant in the 
reconciliation process.
    Under this methodology, we propose CJR-X participants must achieve 
a minimum composite quality score of >=6.1 to be eligible for a 
reconciliation payment if actual episode spending were less than the 
reconciliation target price based on the 2.0 percent maximum discount 
factor. We propose at Sec.  512.645(h)(4) that CJR-X

[[Page 19701]]

participants with ``below acceptable'' quality performance reflected in 
a composite quality score less than or equal to 6.0 would not be 
eligible for discount factor reduction nor would they be eligible for a 
reconciliation payment if actual episode spending were less than the 
reconciliation target price. A level of quality performance that is 
below acceptable would not affect CJR-X participants' repayment 
responsibility if actual episode spending exceeded the reconciliation 
target price. We believe that excessive reductions in utilization that 
lead to low actual episode spending and that could result from the 
financial incentives of the model would be limited by a requirement 
that this minimum level of quality be achieved for reconciliation 
payments to be made. This policy would encourage CJR-X participants to 
focus on appropriate reductions or changes in utilization to achieve 
high quality care in a more efficient manner. Therefore, these CJR-X 
participants would be ineligible to receive a reconciliation payment if 
actual episode spending were less than the reconciliation target price.
    We propose at Sec.  512.645(h)(3) that CJR-X participants with an 
``acceptable'' composite quality score of greater than or equal to 6.1 
and less than or equal to 12.0 would be eligible for a reconciliation 
payment if actual episode spending were less than the reconciliation 
target price but would not be eligible for a discount factor reduction. 
Therefore, acceptable performance would be based on a 2.0 percent 
discount factor because their quality performance was at the acceptable 
level established for the model. These CJR-X participants would be 
eligible to receive a reconciliation payment if actual episode spending 
were less than the reconciliation target price.
    We propose at Sec.  512.645(h)(2) that CJR-X participants with a 
``good'' composite quality score of greater than or equal to 12.1 and 
less than or equal to 17.0 would be eligible for a reconciliation 
payment if actual episode spending were less than the reconciliation 
target price and would be eligible for a 1.0 percent discount factor 
that reflects their good quality performance. Thus, participants 
achieving this level of quality would either have less repayment 
responsibility (that is, the reduced discount factor would offset a 
portion of their repayment responsibility) or receive a higher 
reconciliation payment (that is, the reduced discount factor would 
increase the reconciliation payment) at reconciliation than they would 
have otherwise if the 2.0 discount factor were maintained.
    Finally, we propose at Sec.  512.645(h)(1) CJR-X participants with 
an ``excellent'' composite score quality score of greater than or equal 
to 17.1 would be eligible to receive a reconciliation payment if actual 
episode spending was less than the reconciliation target price and 
would be eligible for a 0.0 percent discount factor that reflects their 
excellent performance. Thus, participants achieving this level of 
quality would either have less repayment responsibility (that is, the 
reduced discount factor would offset a portion of their repayment 
responsibility) or receive a higher reconciliation payment (that is, 
the reduced discount factor would increase the reconciliation payment) 
at reconciliation than they would have otherwise if the 2.0 discount 
factor were maintained.
    Under this methodology, the proposed stop-loss and stop-gain limits 
discussed in section X.C.2.f.(5)(g) of this proposed rule would not 
change. We believe this approach to quality incentive payments based on 
the composite quality score could have the effect of increasing the 
alignment of the financial and quality performance incentives under 
CJR-X to the potential benefit of CJR-X participants and their 
collaborators as well as CMS and would be consistent with the original 
CJR model methodology linking quality and payment.
    The proposed CJR-X composite quality score ranges are displayed in 
Table X.C.-05.
[GRAPHIC] [TIFF OMITTED] TP14AP26.215

    We seek comment on our proposal at Sec.  512.650(g) to link quality 
to payment by adjusting the discount factor for reconciliation target 
prices.
(f) Calculating the Raw Net Payment Reconciliation Amount (NPRA)
    Consistent with the original CJR model, after the completion of a 
performance year, we propose to retrospectively calculate a CJR-X 
participant's actual episode performance based on the episode 
definition. We note that episode spending would be subject to proration 
for services that extend beyond the episode (as described in section 
X.C.2.f.(3)(c). of this proposed rule). We propose to cap performance 
year spending at the high-cost outlier cap as described in section 
X.C.2.f.(3)(e). of this proposed rule. We propose to apply the high-
cost outlier cap to episodes in the performance year similarly to how 
we propose to apply it to baseline episodes, using the 99th percentile 
for each MS-DRG/HCPCS episode type and region as the maximum. Any 
performance year episode spending amount above the high-cost outlier 
cap would be set to the amount of the high-cost outlier cap. Similar to 
the CJR Model, we would apply geographic wage factors to total capped 
episode spending to convert the amount from standardized dollars into 
``real'' or unstandardized amounts. We then propose to compare each 
CJR-X participant's performance year spending to its reconciliation 
target prices, calculated as discussed in X.C.2.f.(5)(d). of this 
proposed rule. We note that, as discussed in section X.C.2.f.(3)(i). of 
this proposed rule, a CJR-X participant would have multiple target 
prices for episodes ending in a given performance year, based on the 
MS-DRG/HCPCS episode type and the performance year

[[Page 19702]]

when the episode was initiated. We propose to determine the applicable 
reconciliation target price for each episode using the aforementioned 
criteria, and then determine the raw NPRA by calculating the difference 
between each CJR-X participant's aggregated performance year spending 
and its aggregated reconciliation target price for all episodes in the 
performance year.
    We seek comment on our proposal at Sec.  [thinsp]512.650(c)(1) 
through (c)(5) for calculating the raw NPRA.
(g) Limitations on NPRA
    As we did in the CJR Model, we propose to include both stop-loss 
and stop-gain limits on the total amount that a CJR-X participant could 
owe to CMS as a repayment or receive from CMS as a reconciliation 
payment. As we stated in the 2015 CJR final rule (80 FR 73398), we 
acknowledge that CJR-X participants vary with respect to their 
readiness to function under an episode payment model with regard to 
their organizational and systems capacity and structure, as well as 
their beneficiary population served. Conversely, we also note that CJR-
X participants may be incentivized to excessively reduce or shift 
utilization outside of the CJR-X episode, even with the proposed 
quality requirements discussed in section X.C.2.e. of this proposed 
rule. In order to ensure that CJR-X participants would neither be 
subject to an unmanageable level of risk nor be incentivized to stint 
on care to achieve savings, we propose limiting a CJR-X participant's 
NPRA through the application of symmetrical stop-loss and stop-gain 
limits, calculated as a percentage of the hospital's aggregate 
reconciliation target price. We note that the stop-loss limit would not 
apply to any post-episode spending amount as discussed in section 
X.C.2.f.(5)(h). of this proposed rule.
    Consistent with the CJR Model, we propose a stop-loss and stop-gain 
limit of 20 percent for most CJR-X participants. We believe maintaining 
consistency with the CJR Model's 20 percent stop-loss and stop-gain 
limits for most CJR-X participants provides an appropriate balance of 
financial risk and reward to promote spending reductions with 
reasonable risk thresholds. However, we also acknowledge that certain 
groups of CJR-X participants may have lower risk tolerance and less 
infrastructure and support to achieve efficiencies for high-cost 
episodes, as we stated in the 2015 CJR final rule (80 FR 73403). 
Therefore, we propose to provide additional safeguards to certain 
categories of CJR-X participants, largely consistent with the CJR 
Model. We propose to apply a 5 percent stop-loss for CJR-X participants 
that are rural hospitals as defined at proposed Sec.  512.605, 
Medicare-dependent, small rural hospitals (MDH), and sole community 
hospitals (SCH). We also propose to apply a 5 percent stop-loss for 
CJR-X participants that meet the proposed definition of safety net 
hospitals, as defined at proposed Sec.  512.605. Although we did not 
apply this additional stop-loss protection to safety net hospitals in 
the CJR Model, evaluation results indicated that this category of 
hospital was disproportionately likely to owe repayments to Medicare, 
as we discuss in section X.C.2.f.(4). of this proposed rule.
    We seek comment on our proposal at Sec.  512.650(c)(6)(i) and (ii) 
to apply 20 percent stop-loss and stop-gain limits to most CJR-X 
participants, and our proposal at Sec.  512.650(c)(6)(iii) to apply a 5 
percent stop-loss limit to certain categories of CJR-X participants.
(h) CJR-X Participant Responsibility for Increased Post-Episode 
Payments
    As we noted in the 2015 CJR final rule that finalized the post-
episode spending policy for the CJR Model (80 FR 73398), while the CJR 
episode extended 90-days post-discharge from the anchor 
hospitalization, some hospitals may have had an incentive to withhold 
or delay medically necessary care until after an episode ended to 
reduce their actual episode payments. We did not believe this would be 
likely in the CJR Model, especially given the relatively long episode 
duration, and we continue to believe that this will not be likely in 
CJR-X. However, in order to identify and address such inappropriate 
shifting of care, we are proposing to maintain the CJR Model post-
episode spending policy in CJR-X. Specifically, we propose to calculate 
the total Medicare Parts A and B expenditures in the 30-day period 
following completion of each episode for all services covered under 
Medicare Parts A and B for each performance year, regardless of whether 
the services are included in the episode definition proposed in this 
proposed rule (as discussed in section X.C.2.d.(2). and (3). of this 
proposed rule). Because we based the episode definition on exclusions, 
identified by MS-DRGs for readmissions and ICD-10-CM diagnosis codes 
for Part B services as discussed in section X.C.2.d.(3)(c). of this 
proposed rule, and Medicare beneficiaries may typically receive a wide 
variety of related (and unrelated) services during episodes, there is 
some potential for CJR-X participants to inappropriately withhold or 
delay a variety of types of services until the episode concludes 
regardless of whether the service is included in the episode 
definition, especially for Part B services where diagnosis coding on 
claims may be less reliable. This inappropriate shifting could include 
both those services that are related to the episode (for which the CJR-
X participant would bear financial responsibility as they would be 
included in the actual episode spending calculation) and those that are 
unrelated (which would not be included in the actual episode spending 
calculation), because a CJR-X participant engaged in shifting of 
medically necessary services outside the episode for potential 
financial benefit may be unlikely to clearly distinguish whether the 
services were related to the episode or not.
    This calculation would include prorated payments for services that 
extend beyond the episode as discussed in section X.C.2.f.(3)(c). of 
this proposed rule. Specifically, we would identify whether the average 
30-day post-episode spending for a CJR-X participant in any given 
performance year is greater than three standard deviations above the 
regional average 30-day post-episode spending, based on the 30-day 
post-episode spending for episodes attributed to all CJR-X participants 
in the same region. Similar to the CJR Model, post-episode spending 
would be adjusted for geographic wage factors to express spending in 
``real'' or unstandardized amounts. We propose that if the CJR-X 
participant's average post-episode spending exceeds this threshold, the 
CJR-X participant would repay Medicare for the amount that exceeds such 
threshold. Consistent with the CJR Model, this amount would not be 
subject to the proposed stop-loss limits discussed in section 
X.C.2.f.5.(g). of this proposed rule.
    We seek comment on our proposal at Sec.  512.650(c)(7) to make CJR-
X participants responsible for making repayments to Medicare based on 
high spending in the 30 days after the end of the episode and for our 
proposed methodology to calculate the threshold for high post-episode 
spend.
(i) Reconciliation Payments and Repayments
    Consistent with the CJR Model, we propose that after subtracting a 
CJR-X participant's post-episode spending amount from their NPRA as 
applicable, as described previously in this section, if the resulting 
amount is positive, the CJR-X participant would receive the amount as a 
one-time lump sum reconciliation payment from Medicare. If the amount 
is negative, Medicare

[[Page 19703]]

would hold the CJR-X participant responsible for a one-time lump sum 
repayment. CMS would collect the one-time lump sum repayment in a 
manner that is consistent with all relevant federal debt collection 
laws and regulations.
    We seek comment on our proposal at Sec.  512.650(d) to make 
reconciliation payments to, and collect repayment amounts from, CJR-X 
participants as a one-time, lump sum payment.
g. Proposed Appeals Process
(1) Notice of Calculation Error and Reconsideration Request
    We believe that it is necessary to have a process by which CJR-X 
participants may appeal the reconciliation report. Therefore, we 
propose at Sec.  [thinsp]512.660(a) to permit CJR-X participants to 
submit a notice of calculation error regarding the calculations 
contained within the CJR-X reconciliation report if the CJR-X 
participant believes an error occurred in calculations due to data 
quality or other issues, or if the CJR-X participant believes an error 
occurred in calculations due to misapplication of methodology. We note 
that the CJR-X participant would still be subject to the same 
limitations on review as stipulated at Sec.  512.170. We also propose 
at Sec.  [thinsp]512.660(b)(1) that if a CJR-X participant believes the 
CJR-X reconciliation report contains a calculation error, then the CJR-
X participant would be required to submit a timely error notice in 
writing documenting the suspected calculation error within 30 calendar 
days of issuance of the CJR-X performance report. We also propose that 
CMS may specify different requirements for the form, manner, or 
deadline for submission of the error notice. If the CJR-X participant 
does not provide such timely error notice in accordance with the 
timelines and processes specified by CMS, then we propose at Sec.  
[thinsp]512.660(b)(2) that the CJR-X reconciliation report would be 
deemed final and the CJR-X participant would be precluded from later 
contesting those elements of the CJR-X reconciliation report for that 
performance year. Additionally, we propose that only an CJR-X 
participant may submit a timely error notice according to the 
provisions at proposed Sec.  [thinsp]512.660(b)(3).
    The proposed 30-day window to review and appeal CMS calculations 
aligns with the length of time we have finalized for submitting appeals 
in other mandatory Innovation Center models, such as TEAM, the 
Ambulatory Specialty Model, and the Increasing Organ Transplant Access 
Model.
    We propose at Sec.  [thinsp]512.660(c) that if CMS receives a 
timely notice of a calculation error, we would issue an initial 
determination in writing within 30 calendar days to either confirm that 
there was an error in the calculation or verify that the calculation is 
correct. We note that CMS would reserve the right to an extension of 
the time for providing its initial determination upon written notice to 
the CJR-X participant.
    If a CJR-X participant disagrees with and wishes to dispute the 
results of the initial determination, under proposed Sec.  
[thinsp]512.660(d), the CJR-X participant or CMS may request a 
reconsideration of the initial determination by following the 
reconsideration review process described in the standard provisions at 
Sec.  [thinsp]512.190.
    We seek comment on our proposed appeals process for CJR-X at Sec.  
[thinsp]512.660.
h. Concurrent Participation in Other CMS Models and Initiatives
(1) Background
    When determining the best strategy for addressing concurrent 
participation in multiple CMS models or initiatives, we recognize we 
need to consider how to promote meaningful collaboration between 
providers and CJR-X participants as the model expands. Historically, 
the overlap policies of CMS Innovation Center models, including the 
original CJR (80 FR 73274), were intended to avoid duplicative 
incentive payments or giving precedence to a single accountable entity. 
However, what resulted were confusing methodologies or misaligned 
incentives which were difficult to navigate. Participants from prior 
models have also cited confusion with identifying all of the model(s) 
to which a beneficiary may be aligned or attributed.
    Earlier episode-based payment models, such as the original CJR 
Model (80 FR 73274) in certain circumstances, and BPCI, are examples of 
this well-meaning but potentially confusing overlap policy. In these 
models, CMS addressed overlap by implementing a complex calculation and 
recouping a portion of the pricing discount for providers also 
participating in certain ACO initiatives. The recoupment was intended 
to prevent duplicate incentive payments for the same beneficiary's 
care; however, some participants perceived the resulting recoupment as 
a financial loss, discouraging providers from participating in both 
initiatives. We believe it is important to learn from previous episode-
based payment model policies, as discussed in the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69786), so that CJR-X can implement a sustainable 
long-term policy to account for interactions with other CMS models and 
initiatives.
(2) Beneficiary Participation in Multiple CMS Models or Initiatives
    We propose that a beneficiary could be in an episode in CJR-X, as 
described in section X.C.2.d. of this proposed rule, by undergoing a 
procedure at an acute care hospital participating in CJR-X, and be 
attributed to a provider participating in a total cost of care or 
shared savings model or program. For example, a beneficiary may be 
attributed to a provider participating in the Shared Savings Program 
for an entire performance year, as well as having initiated an episode 
in CJR-X during the ACO's performance year. Each model or program 
incorporates a reconciliation process, where total included spending 
during the performance period or episode are calculated, as well as any 
potential savings achieved by the model or program. We propose to allow 
any savings generated on an episode in CJR-X and any contribution to 
savings in the total cost of care model be retained by each respective 
participant. This would mean the episode spending in CJR-X would be 
accounted for in the total cost of care model's total expenditures, but 
CJR-X's reconciliation payment amount or repayment amount would not be 
included in the total cost of care model's total expenditures. 
Likewise, the total cost of care model's savings payments or losses 
would not be included in the episode spending in CJR-X.
    This approach deviates slightly from the latter years of the CJR 
Model, where concurrent participation in total cost of care models was 
permitted, except for the ENHANCED track of the Medicare Shared Savings 
Program because the ENHANCED track offered greater financial 
accountability as compared to the BASIC track or predecessor tracks. As 
we discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69787), by 
allowing a beneficiary aligned to a total cost of care model 
participant, such as the Medicare Shared Savings Program or other ACO 
initiatives, to also initiate a CJR-X episode, we would be eliminating 
complexities experienced in prior models where it was difficult for 
participants to know when a beneficiary would trigger an episode and 
when the episode would be excluded. Furthermore, this would match the 
procedure used in newer models such as TEAM, increasing policy design 
similarity between models. We hope that this uniform decision will 
increase simplicity. We also believe that allowing concurrent 
participation for

[[Page 19704]]

beneficiaries aligned to a total cost of care model who also initiate 
an episode in CJR-X and allowing both participants to retain savings 
will have a positive impact on beneficiaries by fostering a cooperative 
relationship between accountable care and CJR-X participants where all 
parties have interest in providing coordinated, longitudinal care.
    In addition, there are other potential benefits to allowing overlap 
between a beneficiary who is aligned to a total cost of care model and 
who initiates an episode in CJR-X, such as strengthening the volume of 
episodes a CJR-X participant is responsible for. We know from prior 
experience that low episode volume creates challenges for participants 
to generate meaningful savings and manage outlier cases with unusually 
high episode expenditures. Allowing CJR-X episodes to trigger despite 
the beneficiary being aligned to a total cost of care model will 
increase CJR-X episode volume to mitigate these low volume challenges.
    We also acknowledge that certain ACOs may prefer that their aligned 
beneficiary population not be included in CJR-X. Since ACOs are 
accountable for total cost of care, they may prefer to manage their 
beneficiaries and have full control over all expenditures and 
beneficiary care instead of sharing that responsibility with a CJR-X 
participant. However, we believe the benefits of episode-based payment 
models in combination with ACO models will ultimately improve Medicare 
beneficiary care, and episode-based payment models will not be 
disruptive to ACO practices.
    However, we are proposing that CJR-X would not allow for concurrent 
participation with TEAM. We proposed in section X.C.2.b.(2)(i). of this 
proposed rule not to allow TEAM participants to be CJR-X participants 
because TEAM and CJR-X both test bundled payments for LEJRs and are 
running concurrently. If an LEJR episode occurs at an acute care 
hospital participating in TEAM, we discussed in section X.C.2.b.(i). of 
this proposed rule, that TEAM participants would be excluded from CJR-X 
participation which means that TEAM supersedes the CJR-X model and 
those LEJR procedures will trigger a TEAM episode rather than a CJR-X 
episode. Further, we propose at Sec.  512.630(e) that if a beneficiary 
in a TEAM episode has a LEJR procedure performed at a CJR-X hospital 
during TEAM's 30-day post-discharge period, then the LEJR procedure 
will not initiate a CJR-X LEJR episode and the spending from the LEJR 
procedure will be included in the TEAM episode. We note that while this 
instance would result in the CJR-X participant not being attributed the 
episode, the episode that would have been triggered in CJR-X in the 
absence of the overlapping TEAM episode would still remain in the 
national set of episodes used in the calculation of various CJR-X 
target price components. This is because the national set of LEJR 
episodes in CJR-X includes all MS-DRG/HCPCS region combinations and 
therefore all LEJR episodes would need to be retained in the national 
set. We anticipate this occurrence to be rare given TEAM's shorter 
post-discharge period and the reduced likelihood that a beneficiary 
would have another procedure performed within such a short time period 
if not clinically appropriate. Additionally, in section X.A.2.a.(3). of 
this proposed rule, we propose that if a beneficiary in a CJR-X episode 
has a procedure performed at a TEAM hospital that would initiate a TEAM 
episode during the CJR-X 90-day post-discharge period, then that 
procedure would not initiate a TEAM episode and the spending from that 
procedure would be included in the CJR-X episode. We considered giving 
TEAM precedence in this situation and dropping the CJR-X episode to 
initiate a TEAM episode to support episode volume in TEAM, but we 
believe it is important to hold the anchoring provider of the initial 
procedure accountable for spending and care coordination, especially 
given the investments that hospitals employ to manage a beneficiary's 
care. We believe this policy would avoid duplicative calculations for 
the same procedure in a model that is similar in overall design. We 
also considered allowing a CJR-X and a non-LEJR TEAM episode to run 
concurrently. For example, if a beneficiary in a CJR-X episode has a 
procedure performed at a TEAM hospital during the CJR-X 90-day post-
discharge period, then that procedure would initiate a TEAM episode. 
While we believe this situation would be very rare, we are concerned 
there could be double payment of savings and may make it difficult to 
determine which model and hospital were the driver to any realized 
savings or losses. We are also concerned this situation could make it 
challenging for the beneficiary to have two accountable episode-based 
entities potentially providing different guidance on who is managing 
their care.
    We acknowledge there may be new models or programs that could have 
overlap with CJR-X. This could occur because a beneficiary may trigger 
an episode in CJR-X while being aligned to a new CMS model or program 
or because a CJR-X participant also participates in another CMS model 
or program. We would plan to assess each new model to determine if the 
structure of payment and savings calculation would need any additional 
overlap requirements to account for the new model and would propose a 
policy in future notice and comment rulemaking, as necessary.
i. Financial Arrangements
(1) Background
    We believe certain financial and beneficiary incentives could help 
a CJR-X participant reach their quality and efficiency goals under the 
model and benefit both beneficiaries and the Medicare Trust Fund 
through reductions in hospital readmissions, complications, days in 
acute care, and mortality. We also believe there is value in offering 
flexibilities to CJR-X participants that could support their 
performance in CJR-X and enable them to meet the needs of 
beneficiaries. The flexibilities outlined in this section include 
allowing CJR-X participants to share all or some of their 
reconciliation payment amount or repayment amount with non-model 
participants and offer beneficiary incentives to encourage engagement 
and adherence to recommended treatment throughout recovery.
(2) Overview of CJR-X Financial Arrangements
    CJR-X participants may wish to enter into financial arrangements 
with certain providers and suppliers that support CJR-X activities to 
share their reconciliation payment amount or repayment amount resulting 
from participation in CJR-X. We believe allowing such arrangements to 
align financial incentives would support high quality care, improve 
health outcomes, and reduce Medicare spending through improved 
beneficiary care transitions and reduced fragmentation following 
surgery. We expect that CJR-X participants would identify key providers 
and suppliers caring for beneficiaries in the surrounding communities 
with whom to establish partnerships to promote accountability for the 
quality, cost, and overall care for beneficiaries, including managing 
and coordinating care; encouraging investment in infrastructure, 
enabling technologies, and redesigning care processes for high quality 
and efficient service delivery; and carrying out other obligations or 
duties under CJR-X.
    These providers and suppliers may invest substantial time and other 
resources in these activities, yet they

[[Page 19705]]

would not be the direct recipients of any reconciliation payment 
amounts or repayment amounts, as they are not the risk bearing entity 
and do not directly participate in CJR-X. Therefore, we believe it is 
possible that a CJR-X participant that may receive a reconciliation 
payment amount or repayment amount may want to enter into financial 
arrangements with other providers or suppliers to share this 
reconciliation payment amount or repayment amount with the CJR-X 
participant. We expect that all financial relationships established 
between CJR-X participants and providers or suppliers for purposes of 
CJR-X would be those permitted only under applicable law and 
regulations, including the applicable fraud and abuse laws and all 
applicable payment and coverage requirements. As discussed in section 
X.C.2.i.(9) of this proposed rule, CMS expects, if the proposed 
arrangements are finalized, to make a determination that the anti-
kickback statute safe harbor for CMS-sponsored model arrangements (42 
CFR 1001.952(ii)) is available to protect certain remuneration proposed 
in this section when arrangements with eligible providers and suppliers 
are in compliance with the requirements established in the final rule 
and the conditions of the safe harbor for CMS-sponsored model 
arrangements established at 42 CFR 1001.952(ii).
    We recognize that there are numerous arrangements that CJR-X 
participants may wish to enter other than the financial arrangements 
described in the proposed regulations for which safe harbor protection 
may be extended that could be beneficial to the CJR-X participants. For 
example, CJR-X participants may choose to engage with organizations 
that are neither providers nor suppliers to assist with matters such as 
data analysis; local provider and supplier engagement; care redesign 
planning and implementation; beneficiary outreach; beneficiary care 
coordination and management; monitoring CJR-X participants' compliance 
with the model's terms and conditions; or other model-related 
activities. Such organizations may play important roles in a CJR-X 
participant's plans to implement the model based on the experience 
these organizations may bring, such as prior experience with episode-
based payment models, care coordination expertise, familiarity with a 
particular local, or knowledge of bundled data. We expect that all 
relationships established between CJR-X participants and these 
organizations for purposes of the model would be those permitted only 
under existing law and regulation, including any relationships that 
would include the CJR-X participant's sharing of the reconciliation 
payment amount or repayment amount. We would expect these relationships 
to be solely based on the level of engagement of the organization's 
resources to directly support the CJR-X participants' model 
implementation.
(3) CJR-X Collaborators
    As proposed, CJR-X is a two-sided financial risk model and the CJR-
X participant would bear sole financial risk for any repayment amount 
to CMS in the absence of financial arrangements. However, given the 
incentive to reduce episode spending to earn a reconciliation payment 
amount, as described in section X.C.2.f.(5) of this proposed rule, a 
CJR-X participant may want to engage in financial arrangements with 
providers and suppliers or participants in Medicare ACO initiatives who 
are making contributions to the CJR-X participant's performance in the 
model. Such arrangements would allow the CJR-X participant to share 
reconciliation payment amounts or repayment amounts with individuals 
and entities that have a role in the CJR-X participant's performance in 
the model. We propose to use the term ``CJR-X collaborator'' to refer 
to these individuals and entities.
    Because CJR-X participants would be accountable for spending and 
quality during the anchor hospitalization or anchor procedure and the 
90-day post discharge period, as described in section X.C.2.d.(3)(b) of 
this proposed rule, providers and suppliers other than the CJR-X 
participant may furnish services to the beneficiary during the model. 
As such, for purposes of the Federal anti-kickback statute safe harbor 
for CMS-sponsored model arrangements (42 CFR 1001.952(ii)), we propose 
at Sec.  512.605 to define ``CJR-X collaborator'' as any of the 
following types of providers and suppliers that is Medicare-enrolled 
and eligible to participate in Medicare or entities that are 
participating in a Medicare ACO initiative may be CJR-X collaborators:
     SNF.
     HHA.
     LTCH.
     IRF.
     Physician.
     Nonphysician practitioner.
     Therapist in a private practice.
     Comprehensive Outpatient Rehabilitation Facility (CORF).
     Provider or supplier of outpatient therapy services.
     Physician Group Practice (PGP).
     Hospital.
     Critical Access Hospital (CAH).
     Non-physician provider group practice (NPPGP).
     Therapy group practice (TGP).
     Medicare ACO.
    We seek comment on the proposed definition of ``CJR-X 
collaborator'' and any additional Medicare-enrolled providers or 
suppliers, that should be included in this definition. For example, we 
considered rural emergency hospitals (REHs), rural clinics, and 
Federally Qualified Health Centers (FQHCs) because CJR-X would hold 
CJR-X participants accountable for cost and quality of care during a 
90-day episode, and this would include rural beneficiaries that may 
receive a LEJR procedure. We anticipate rural beneficiaries would 
receive pre- and post-operative care locally through these sites and 
allowing these providers to participate in financial arrangements would 
align incentives across all entities influencing episode outcomes and 
would encourage better care transitions and follow-up.
(4) Sharing Arrangements
(a) General
    Similar to the original CJR Model (42 CFR 510.500), we propose that 
certain financial arrangements between a CJR-X participant and a CJR-X 
collaborator be termed ``sharing arrangements.'' For purposes of the 
Federal anti-kickback statute safe harbor for CMS-sponsored model 
arrangements (42 CFR 1001.952(ii)), we propose that a sharing 
arrangement would be to share reconciliation payment amounts or 
repayment amounts. We propose at to define ``sharing arrangement'' as a 
financial arrangement between a CJR-X participant and a CJR-X 
collaborator for the sole purpose of making gainsharing payments or 
alignment payments under CJR-X. Where a payment from a CJR-X 
participant to a CJR-X collaborator is made pursuant to a sharing 
arrangement, we propose to define that payment as a ``gainsharing 
payment,'' which is discussed in section X.C.2.i.(4)(c) of this 
proposed rule. Where a payment from a CJR-X collaborator to a CJR-X 
participant is made pursuant to a sharing arrangement, we propose to 
define that payment as an ``alignment payment,'' which is discussed in 
section X.C.2.i.(4)(c) of this proposed rule. A CJR-X participant must 
not make a gainsharing payment or receive an alignment payment except 
in accordance with a sharing arrangement. We propose that a sharing 
arrangement

[[Page 19706]]

must comply with the provisions of section X.C.2.i.(4)(b) of this 
proposed rule and all other applicable laws and regulations, including 
the applicable fraud and abuse laws and all applicable payment and 
coverage requirements. We propose that the CJR-X participant and CJR-X 
collaborator must document this agreement in writing and, per 
monitoring and compliance guidelines (Sec.  512.670(b)), the written 
agreement must be made available to CMS upon request.
    We propose that the CJR-X participant must develop, maintain, and 
use a set of written policies for selecting individuals and entities to 
be CJR-X collaborators. To safeguard against potentially fraudulent or 
abusive practices, we propose that the selection criteria determined by 
the CJR-X participant must include the quality of care delivered by the 
potential CJR-X collaborator. Moreover, the selection criteria cannot 
be based directly or indirectly on the volume or value of referrals or 
business otherwise generated by, between or among the CJR-X 
participant, any CJR-X collaborator, any collaboration agent, or any 
individual or affiliated with a CJR-X participant, CJR-X collaborator, 
or collaboration agent. In addition to including quality of care in 
their selection criteria, CJR-X participants must also consider 
selection of CJR-X collaborators based on criteria that include the 
anticipated contribution to the performance of the CJR-X participant in 
the model by the potential CJR-X collaborator to ensure that the 
selection of CJR-X collaborators takes into consideration the 
likelihood of their future performance.
    Finally, we propose that if a CJR-X participant enters a sharing 
arrangement, its compliance program must include oversight of sharing 
arrangements and compliance with the applicable requirements of the 
model. Requiring oversight of sharing arrangements to be included in 
the compliance program provides a program integrity safeguard. We note 
CMS would monitor CJR-X participants for compliance, as permitted under 
Sec.  512.150, especially if we believe the requirement is not being 
met as indicated through monitoring activities such as documentation 
requests, interviews, and site visits.
    We seek comment on the proposed ``sharing arrangement'' definition 
at Sec.  512.605, the sharing arrangement proposals at Sec.  
512.670(a), and whether additional or different safeguards are needed 
to ensure program integrity, protect against abuse, and ensure that the 
goals of the model are met.
 (b) Requirements
    We propose several requirements for sharing arrangements to help 
ensure that their sole purpose is to create financial alignment between 
CJR-X participants and CJR-X collaborators toward the goals of the 
model while maintaining adequate program integrity safeguards. We 
propose that the sharing arrangement must be in writing, signed by the 
parties, and entered into before care is furnished to CJR-X 
beneficiaries under the sharing arrangement. In addition, participation 
in a sharing arrangement must be voluntary and without penalty for 
nonparticipation. It is important that providers and suppliers 
rendering items and services to beneficiaries during the model have the 
freedom to provide medically necessary items and services to 
beneficiaries without any requirement that they participate in a 
sharing arrangement to safeguard beneficiary freedom of choice, access 
to care, and quality of care. The sharing arrangement must set out the 
mutually agreeable terms for the financial arrangement between the 
parties to guide and reward model care redesign for future performance 
toward model goals, rather than reflect the results of model 
performance years that have already occurred and where the financial 
outcome of the sharing arrangement terms would be known before signing.
    We propose that the sharing arrangement must require the CJR-X 
collaborator and its employees, contractors, and subcontractors to 
comply with certain requirements that are important for program 
integrity under the arrangement. We note that the terms contractors and 
subcontractors include collaboration agents as defined later in this 
section. The sharing arrangement must require all of the individuals 
and entities party to the arrangement to comply with the applicable 
provisions of this proposed rule, including proposed requirements 
regarding beneficiary notifications, at proposed Sec.  512.622(b), and 
access to records and record retention and participation in any 
evaluation, monitoring, compliance, and enforcement activities 
performed by CMS or its designees, in accordance with the standard 
provisions for Innovation Center models at Sec.  512.135, because these 
individuals and entities all would play a role in model care redesign 
and be part of financial arrangements under the model as proposed. The 
sharing arrangement must also require all individuals and entities 
party to the arrangement who are providers or suppliers to comply with 
the applicable Medicare provider enrollment requirement at Sec.  
424.500, including having a valid and active TIN or NPI, during the 
term of the sharing arrangement. This proposed requirement is to ensure 
that the individuals and entities have the required enrollment 
relationship with CMS under the Medicare program, although we note that 
they are not responsible for complying with requirements that do not 
apply to them. Finally, the sharing arrangement must require 
individuals and entities to comply with all other applicable laws and 
regulations.
    We propose that the sharing arrangement must not pose a risk to 
beneficiary access, beneficiary freedom of choice, or quality of care 
so that financial relationships between CJR-X participants and CJR-X 
collaborators do not negatively impact beneficiary protections under 
the model. The sharing arrangement as proposed must require the CJR-X 
collaborator to have a compliance program that includes oversight of 
the sharing arrangement and compliance with the requirements of the 
model, just as we require CJR-X participants to have a compliance 
program that covers oversight of the sharing arrangement for this 
purpose as a program integrity safeguard. We seek comment on the 
anticipated effect of the proposed compliance program requirement for 
CJR-X collaborators, particularly with regard to individual physicians 
and nonphysician practitioners, small PGPs, NPPGPs, and TGPs and 
whether alternative compliance program requirements for all or a subset 
of CJR-X collaborators should be adopted to mitigate any effect of the 
proposal that could make participation as a CJR-X collaborator 
infeasible for any provider, supplier, or other entity on the proposed 
list of types of CJR-X collaborators.
    It is necessary that CJR-X participants have adequate oversight 
over sharing arrangements to ensure that all arrangements meet the 
requirements of this section and provide program integrity protections. 
Therefore, we propose that the board or other governing body of the 
CJR-X participant have responsibility for overseeing the CJR-X 
participant's' participation in the model, its arrangements with CJR-X 
collaborators, its payment of gainsharing payments, its receipt of 
alignment payments, and its use of beneficiary incentives in the model. 
Additionally, we propose that the CJR-X participant and CJR-X 
collaborator must document this agreement in writing and, as part of 
the model's monitoring and compliance activities as proposed in

[[Page 19707]]

(Sec.  512.670(b)(7)), we propose that this agreement must be made 
available to CMS upon request.
    For purposes of sharing arrangements under the model, we propose at 
Sec.  512.605 to define ``CJR-X activities'' as activities related to 
promoting accountability for the quality, cost, and overall care for 
CJR-X beneficiaries and performance in the model, including managing 
and coordinating care; encouraging investment in infrastructure and 
redesigned care processes for high quality and efficient service 
delivery; or carrying out any other obligation or duty under the model. 
In addition to the quality of care provided during episodes, we believe 
the activities that would fall under this proposed definition encompass 
the totality of activities upon which it would be appropriate for 
sharing arrangements under the model to be based in order to value the 
contributions of providers, suppliers, and other entities toward 
meeting the performance goals of the model. We seek comment on the 
proposed definition of ``CJR-X activities'' as an inclusive and 
comprehensive framework for capturing direct care and care redesign 
that contribute to performance toward model goals.
    We propose that the written agreement memorializing a sharing 
arrangement must specify the following parameters of the arrangement:
     The purpose and scope of the sharing arrangement.
     The identities and obligations of the parties, including 
specified CJR-X activities and other services to be performed by the 
parties under the sharing arrangement.
     The date of the sharing arrangement.
     Management and staffing information, including type of 
personnel or contractors that will be primarily responsible for 
carrying out CJR-X activities.
     The financial or economic terms for payment, including the 
following:
    ++ Eligibility criteria for a gainsharing payment.
    ++ Eligibility criteria for an alignment payment.
    ++ Frequency of gainsharing or alignment payment.
    ++ Methodology and accounting formula for determining the amount of 
a gainsharing payment that is solely based on quality of care and the 
provision of CJR-X activities.
    ++ Methodology and accounting formula for determining the amount of 
an alignment payment.
    Finally, we propose to require that the terms of the sharing 
arrangement must not induce the CJR-X participant, CJR-X collaborator, 
or any employees, contractors, or subcontractors of the CJR-X 
participant or CJR-X collaborator to reduce or limit medically 
necessary services to any beneficiary or restrict the ability of a CJR-
X collaborator to make decisions in the best interests of CJR-X 
beneficiaries, including the selection of devices, supplies, and 
treatments. These requirements are to ensure that the quality of care 
for beneficiaries is not negatively affected by sharing arrangements 
under the model.
    We seek comment on the ``CJR activities'' definition and the 
sharing arrangement requirements at Sec.  512.670.
(c) Gainsharing Payment and Alignment Payment Conditions and 
Limitations
    We propose several conditions and limitations for gainsharing 
payments and alignment payments as program integrity protections for 
the payments to and from CJR-X collaborators. We propose to require 
that gainsharing payments be derived solely from a CJR-X participant's 
reconciliation payment amounts, internal costs savings, or both; that 
they be distributed on an annual basis, not more than once per calendar 
year; that they not be a loan, advance payment, or payment for 
referrals or other business; and that they be clearly identified as a 
gainsharing payment at the time they are paid.
    We believe that gainsharing payment eligibility for collaborators 
should be conditioned on two requirements--(1) quality of care 
criteria; and (2) the provision of CJR-X activities. With respect to 
the first requirement, we propose that to be eligible to receive a 
gainsharing payment, the collaborator must meet quality of care 
criteria during the performance year for which the participant earned a 
reconciliation payment amount that comprises the gainsharing payment. 
We propose that these quality of care criteria will be included in the 
sharing arrangement and mutually agreed upon by the CJR-X participant 
and CJR-X collaborator. With regard to the second requirement, to be 
eligible to receive a gainsharing payment, or to be required to make an 
alignment payment, a collaborator other than a PGP, NPPGP, or TGP must 
have directly furnished a billable item or service to a beneficiary 
during the same performance year for which the participant earned a 
reconciliation payment amount or repayment amount. For purposes of this 
requirement, we consider a hospital, CAH or post-acute care provider to 
have ``directly furnished'' a billable service if one of these entities 
billed for an item or service for a CJR-X beneficiary in the 
performance year for which the CJR-X participant earned a 
reconciliation payment amount or repayment amount. The phrase 
``episode'' refers to all Part A and B items and services described in 
section X.C.2.d.(3)(b) of this proposed rule (excluding the items and 
services described in section X.C.2.d.(3)(c)) of this proposed rule 
that are furnished to a beneficiary described in section X.C.2.c of 
this proposed rule. During the time period that begins with the 
beneficiary's admission to an anchor hospitalization or the date of the 
anchor procedure, as applicable, and ends on the 90th day of either the 
date of discharge from the anchor hospitalization or the date of 
service for the anchor procedure. These requirements ensure that there 
is a required relationship between eligibility for a gainsharing 
payment and the direct care for CJR-X beneficiaries during an episode 
for these CJR-X collaborators. We believe the provision of direct care 
is essential to the implementation of effective care redesign, and the 
requirement provides a safeguard against payments to CJR-X 
collaborators other than a PGP, NPPGP, or TGP that are unrelated to 
direct care for CJR-X beneficiaries during the model's performance 
year.
    We propose to establish similar requirements for PGPs, NPPGPs and 
TGPs that vary because these entities do not themselves directly 
furnish billable services. To be eligible to receive a gainsharing 
payment or required to make an alignment payment for a given 
performance year, a PGP, NPPGP or TGP must have billed for an item or 
service that was rendered by one or more members of the PGP, NPPGP or 
TGP to a CJR-X beneficiary during the episode that is attributed to the 
same performance year for which the CJR-X participant earned a 
reconciliation payment amount or repayment amount. Like the proposal 
for CJR-X collaborators that are not PGPs, these proposals also require 
a link between the CJR-X collaborator that is the PGP, NPPGP or TGP and 
the provision of items and services to beneficiaries during the episode 
by PGP, NPPGP or TGP members.
    Moreover, we further propose that, because PGPs, NPPGPs and TGPs do 
not directly furnish items and services to beneficiaries, in order to 
be eligible to receive a gainsharing payment or be required to make an 
alignment payment, for a given performance year the PGP, NPPGP or TGP 
must have contributed to CJR-X activities and been clinically involved 
in the care of beneficiaries during an episode that is attributed to 
the same performance year for which

[[Page 19708]]

the CJR-X participant earned a reconciliation payment amount or 
repayment amount that comprises the gainsharing payment.
    We propose that the amount of any gainsharing payments must be 
determined in accordance with a methodology that is solely based on 
quality of care and the provision of CJR-X activities. We considered 
whether this methodology could substantially, rather than solely, be 
based on quality of care and the provision of CJR-X but ultimately 
determined that basing the methodology solely on these two elements 
creates a model safeguard where gainsharing aligns directly with the 
model goal of quality of care and with CJR-X activities. The 
gainsharing methodology may take into account the amount of such CJR-X 
activities provided by a CJR-X collaborator relative to other CJR-X 
collaborators. While we emphasize that financial arrangements may not 
be conditioned directly or indirectly on the volume or value of 
referrals or business otherwise generated by, between or among CJR-X 
participants, any CJR-X collaborator, any collaboration agent, or any 
individual or entity affiliated with a CJR-X participant, CJR-X 
collaborator, or collaboration agent so that their sole purpose is to 
align the financial incentives of the CJR-X participant and CJR-X 
collaborators toward the model, we believe that accounting for the 
relative amount of CJR-X activities by CJR-X collaborators in the 
determination of gainsharing payments does not undermine this 
objective. Rather, the proposed requirement allows flexibility in the 
determination of gainsharing payments where the amount of a CJR-X 
collaborator's provision of CJR-X activities (including direct care) to 
CJR-X beneficiaries during a performance year may contribute to the 
CJR-X participant's reconciliation payment amount that may be available 
for making a gainsharing payment. Greater contributions of CJR-X 
activities by one CJR-X collaborator versus another CJR-X collaborator 
that result in greater differences in the funds available for 
gainsharing payments may be appropriately valued in the methodology 
used to make gainsharing payments to those CJR-X collaborators in order 
to reflect these differences in CJR-X activities among CJR-X 
collaborators.
    However, we do not believe it would be appropriate to allow the 
selection of CJR-X collaborators or the opportunity to make or receive 
a gainsharing payment or an alignment payment to take into account the 
amount of CJR-X activities provided by a potential or actual CJR-X 
collaborator relative to other potential or actual CJR-X collaborators 
because these financial relationships are not to be based directly or 
indirectly on the volume or value of referrals or business otherwise 
generated by, between or among the CJR-X participant, any CJR-X 
collaborator, any collaboration agent, or any individual or entity 
affiliated with a CJR-X participant, CJR-X collaborator, or 
collaboration agent. Specifically, with respect to the selection of 
CJR-X collaborators or the opportunity to make or receive a gainsharing 
payment or an alignment payment, we do not believe that the amount of 
model activities provided by a potential or actual CJR-X collaborator 
relative to other potential or actual CJR-X collaborators could be 
taken into consideration by the CJR-X participant without a significant 
risk that the financial arrangement in those instances could be based 
directly or indirectly on the volume or value of referrals or business 
generated by, between or among the parties. Similarly, if the 
methodology for determining alignment payments was allowed to take into 
account the amount of CJR-X activities provided by a CJR-X collaborator 
relative to other CJR-X collaborators there would be a significant risk 
that the financial arrangement could directly account for the volume or 
value of referrals or business generated by, between or among the 
parties and, therefore, we propose that the methodology for determining 
alignment payments may not directly take into account the volume or 
value of referrals or business generated by, between or among the 
parties.
    We also considered whether the methodology for gainsharing payments 
should be based substantially on quality of care and the provision of 
CJR-X activities, rather than solely on these two elements and whether 
the methodology could take into account the amount of CJR-X activities 
provided by a CJR-X collaborator relative to other CJR-X collaborators. 
We were particularly interested in whether this standard would provide 
sufficient additional flexibility in the gainsharing payment 
methodology to allow the financial reward of CJR-X collaborators 
commensurate with their level of effort that achieves model goals 
Ultimately, we are proposing to follow the CJR Model and TEAM 
gainsharing methodologies.
    We propose that for each performance year, the aggregate amount of 
all gainsharing payments that are derived from a reconciliation payment 
amount by the CJR-X participant must not exceed the amount of the 
reconciliation payment amount. In accordance with the prior discussion, 
no entity or individual, whether a party to a sharing arrangement or 
not, may condition the opportunity to make or receive gainsharing 
payments or to make or receive alignment payments on the volume or 
value of referrals or business otherwise generated by, between or among 
the CJR-X participant, any CJR-X collaborator, any collaboration agent, 
or any individual or entity affiliated with a CJR-X participant, CJR-X 
collaborator, or collaboration agent. We propose that a CJR-X 
participant must not make a gainsharing payment to a CJR-X collaborator 
that is subject to any action for noncompliance by CMS or any other 
federal or state entity or subject to noncompliance with any other 
federal or state laws or regulations, or for the provision of 
substandard care to beneficiaries or other integrity problems. Finally, 
the sharing arrangement must require the CJR-X participant to recover 
any gainsharing payment that contained funds derived from a CMS 
overpayment on a reconciliation payment amount or was based on the 
submission of false or fraudulent data. These requirements provide 
program integrity safeguards for gainsharing under sharing 
arrangements.
    With respect to alignment payments, we propose that alignment 
payments from a CJR-X collaborator to a CJR-X participant may be made 
at any interval that is agreed upon by both parties. Alignment payments 
must not be issued, distributed, or paid prior to the calculation by 
CMS of the repayment amount, and cannot be assessed in the absence of a 
repayment amount. The CJR-X participant must not receive any amounts 
under a sharing arrangement from a CJR-X collaborator that are not 
alignment payments.
    We also propose certain limitations on alignment payments that are 
consistent with the CJR Model. For a performance year, the aggregate 
amount of all alignment payments received by the CJR-X participant from 
all of the CJR-X participant's CJR-X collaborators must not exceed 50 
percent of the repayment amount. Given that the CJR-X participant would 
be responsible for developing and coordinating care redesign strategies 
in response to its CJR-X participation, we believe it is important that 
the CJR-X participant retain a significant portion of its 
responsibility for repayment amounts. In addition, the aggregate amount 
of all alignment payments from a CJR-X collaborator to the CJR-X 
participant for a CJR-X collaborator other than an ACO

[[Page 19709]]

may not be greater than 25 percent of the CJR-X participant's repayment 
amount. The aggregate amount of all alignment payments from a CJR-X 
collaborator to the CJR-X participant for a CJR-X collaborator that is 
an ACO may not be greater than 50 percent of the CJR-X participant's 
repayment amount.
    We propose that all gainsharing payments and any alignment payments 
must be administered by the CJR-X participant in accordance with GAAP 
and Government Auditing Standards (The Yellow Book). Additionally, we 
propose that all gainsharing payments and alignment payments must be 
made by check, electronic funds transfer, or another traceable cash 
transaction. We make this proposal to mitigate the administrative 
burden that the electronic fund transfer (EFT) requirement would place 
on the financial arrangements between certain CJR-X participants and 
CJR-X collaborators, especially individual physicians and nonphysician 
practitioners and small PGPs, NPPGPs or TGPs which could discourage 
participation of those suppliers as CJR-X collaborators.
    We seek comment on our proposals at Sec.  512.670(c) on the 
conditions and restrictions on gainsharing payments, alignment 
payments, and internal cost savings under the model.
(d) Documentation Requirements
    To ensure the integrity of the sharing arrangements, we propose 
that CJR-X participants must meet a variety of documentation 
requirements for these arrangements. Specifically, the CJR-X 
participant must--
     Document the sharing arrangement contemporaneously with 
the establishment of the arrangement;
     Maintain accurate current and historical lists of all CJR-
X collaborators, including CJR-X collaborator names and addresses; 
update such lists on at least a quarterly basis; and publicly report 
the current and historical lists of CJR-X collaborators on the CJR-X 
participant's website; and
     Maintain and require each CJR-X collaborator to maintain 
contemporaneous documentation with respect to the payment or receipt of 
any gainsharing payment or alignment payment that includes at a minimum 
the--
    ++ Nature of the payment (gainsharing payment or alignment 
payment);
    ++ Identity of the parties making and receiving the payment;
    ++ Date of the payment;
    ++ Amount of the payment;
    ++ Date and amount of any recoupment of all or a portion of a CJR-X 
collaborator's gainsharing payment; and
    ++ Explanation for each recoupment, such as whether the CJR-X 
collaborator received a gainsharing payment that contained funds 
derived from a CMS overpayment of a reconciliation payment amount, or 
was based on the submission of false or fraudulent data.
    In addition, we propose that the CJR-X participant must keep 
records for all of the following:
     A process for determining and verifying potential and 
current CJR-X collaborators' eligibility to participate in Medicare if 
the CJR-X collaborator is a Medicare-enrolled provider or supplier.
     A plan to track internal cost savings.
     Information on the accounting systems used to track 
internal cost savings.
     A description of current health information technology, 
including systems to track reconciliation payment amounts, repayment 
amounts, and internal cost savings.
     A plan to track gainsharing payments and alignment 
payments.
    Finally, we propose that the CJR-X participant must retain and 
provide access to, and must require each CJR-X collaborator to retain 
and provide access to, the required documentation in accordance with 
Sec.  512.135 and 42 CFR 1001.952(ii).
    We seek comment on our proposals on the documentation requirements 
for sharing arrangements at Sec.  512.670(d). We seek comment about all 
of the requirements set out in the preceding discussion, including 
whether additional or different safeguards would be needed to ensure 
program integrity, protect against abuse, and ensure that the goals of 
the model are met.
(5) Distribution Arrangements
(a) General
    Similar to the CJR Model (80 FR 73541), we propose that certain 
financial arrangements between CJR-X collaborators and other 
individuals or entities called ``collaboration agents'' be termed 
``distribution arrangements.'' In the January 2017 CJR final rule (82 
FR 180), we finalized a full replacement of the prior CJR Model 
regulations to allow for--(1) participant hospitals to enter into 
sharing arrangements with additional categories of CJR collaborators, 
including certain ACOs, hospitals, CAHs, NPPGPs and therapy group 
practices (TGPs); (2) ACOs, PGPs, NPPCGs and TGPs that are CJR 
collaborators to enter into distribution arrangements with certain 
entities and individuals; and (3) PGPs, NPPGPs and TGPs that received 
distribution payments from ACOs to enter into downstream distribution 
arrangements to share distribution payments with certain of their 
members. Similarly in CJR-X, a ``collaboration agent'' would be defined 
as an individual or entity that is not a CJR-X collaborator and that is 
a PGP, NPPGP, or TGP member that has entered into a distribution 
arrangement with the same PGP, NPPGP, or TGP in which he or she is an 
owner or employee. For purposes of the Federal anti-kickback statute 
safe harbor for CMS-sponsored model arrangements (42 CFR 1001.952(ii)), 
we propose that a ``distribution arrangement'' would be defined as a 
financial arrangement between a CJR-X collaborator that is a PGP, NPPGP 
or TGP and a collaboration agent for the sole purpose of sharing a 
gainsharing payment received by the PGP, NPPGP or TGP. Where a payment 
from a CJR-X collaborator to a collaboration agent is made pursuant to 
a CJR-X distribution arrangement, we define that payment as a 
``distribution payment.'' A collaboration agent may only make a 
distribution payment in accordance with a distribution arrangement 
which complies with the provisions of this proposed model and all other 
applicable laws and regulations, including the fraud and abuse laws.
    Like our proposal for gainsharing payments, we propose that the 
amount of any distribution arrangements must be determined in 
accordance with a methodology that is solely based on quality of care 
and the provision of CJR-X activities. We considered whether this 
methodology could substantially, rather than solely, be based on 
quality of care and the provision of CJR-X activities, but ultimately 
determined that basing the methodology solely on these two elements 
creates a model safeguard where gainsharing aligns directly with the 
model goal of quality of care and with CJR-X activities.
    We seek comment on our definitions for ``collaboration agent,'' 
``distribution arrangements,'' and ``distribution payment'' at Sec.  
512.605. We also seek comment on our distribution arrangements 
proposals at Sec.  512.675(a).
(b) Requirements
    We propose several requirements to help ensure that the sole 
purpose of distribution arrangements is to create financial and CJR-X 
performance alignment between CJR-X collaborators and collaboration 
agents . These requirements largely parallel those

[[Page 19710]]

proposed in section X.C.2.i.(4)(b) of this proposed rule for sharing 
arrangements and gainsharing payments. We propose that all distribution 
arrangements must be in writing and signed by the parties, contain the 
effective date of the agreement, and be entered into before care is 
furnished to CJR-X beneficiaries under the distribution arrangement. 
Furthermore, we propose that participation must be voluntary and 
without penalty for nonparticipation, and the distribution arrangement 
must require the collaboration agent to comply with all applicable laws 
and regulations.
    We propose that any distribution payments must be determined in 
accordance with a methodology that is solely based on quality of care 
and the provision of CJR-X activities. We propose that the opportunity 
to make or receive a distribution payment must not be conditioned 
directly or indirectly on the volume or value of referrals or business 
otherwise generated by, between or among the CJR-X participant, any 
CJR-X collaborator, any collaboration agent, or any individual or 
entity affiliated with a CJR-X participant, CJR-X collaborator, or 
collaboration agent. We propose more flexible standards for the 
determination of the amount of distribution payments from PGPs, NPPGPs 
and TGPs allowing CJR-X collaborators and collaboration agents to 
create tailored distribution payments that supports the individual 
structure of their arrangement.
    We note that for distribution payments made by a PGP to PGP 
members, by NPPGPs to NPPGP members, or TGPs to TGP members, the 
requirement that the amount of any distribution payments must be 
determined in accordance with a methodology that is solely based on 
quality of care and the provision of CJR-X activities may be more 
limiting in how a PGP, NPPGP or TGP pays its members than is allowed 
under existing law. However, we believe quality of care is an important 
facet of episode-based payment models and making this a requirement for 
distribution payment supports greater emphasis on quality of care 
improvement in CJR-X. Further this is consistent with the BPCI Advanced 
model that required their NPRA Shared Payments and Partner Distribution 
Payments to achieve quality performance targets to receive these 
payments.
    We seek comment on this proposal and specifically whether there are 
additional safeguards or a different standard is needed to allow for 
greater flexibility in calculating the amount of distribution payments 
that would avoid program integrity risks and whether additional or 
different safeguards are reasonable, necessary, or appropriate for the 
amount of distribution payments from a PGP to its members, a NPPGP to 
its members or a TGP to its members.
    Similar to our proposed requirements for sharing arrangements for 
those CJR-X collaborators that furnish or bill for items and services, 
we propose that a collaboration agent is eligible to receive a 
distribution payment only if the collaboration agent furnished or 
billed for an item or service rendered to a beneficiary during an 
episode that occurred during the same performance year for which the 
CJR-X participant accrued the internal cost savings or earned a 
reconciliation payment amount that comprises the gainsharing payment 
being distributed. We note that all individuals and entities that fall 
within our proposed definition of collaboration agent may either 
directly furnish or bill for items and services rendered to 
beneficiaries. This proposal ensures that there is the same required 
relationship between direct care for CJR-X beneficiaries during a 
performance year and distribution payment eligibility that we require 
for gainsharing payment eligibility. We believe this requirement 
provides a safeguard against payments to collaboration agents that are 
unrelated to direct care for CJR-X beneficiaries during the performance 
year.
    We further propose that with respect to the distribution of any 
gainsharing payment received by an ACO, PGP, NPPGP or TGP, the total 
amount of all distribution payments in a performance year must not 
exceed the amount of the gainsharing payment received by the CJR-X 
collaborator from the CJR-X participant for that performance year. Like 
gainsharing and alignment payments, we propose that all distribution 
payments must be made by check, electronic funds transfer, or another 
traceable cash transaction. The collaboration agent must retain the 
ability to make decisions in the best interests of the CJR-X 
beneficiary, including the selection of devices, supplies, and 
treatments. Finally, the distribution arrangement must not induce the 
collaboration agent to reduce or limit medically necessary items and 
services to any Medicare beneficiary or reward the provision of items 
and services that are medically unnecessary.
    We propose that the CJR-X collaborator must maintain 
contemporaneous documentation regarding distribution arrangements in 
accordance with Sec.  512.675(b), including--
     The relevant written agreements;
     The date and amount of any distribution payment(s);
     The identity of each collaboration agent that received a 
distribution payment; and
     A description of the methodology and accounting formula 
for determining the amount of any distribution payment.
    We propose that the CJR-X collaborator may not enter into a 
distribution arrangement with any individual or entity that has a 
sharing arrangement with the same CJR-X participant, which is 
continuation of the CJR Model policy in the 2015 final rule (80 FR 
73427). This proposal ensures that the proposed separate limitations on 
the total amount of gainsharing payment and distribution payment to 
PGPs, NPPGPs, TGPs, physicians, and nonphysician practitioners that are 
solely based on quality of care and the provision of CJR-X activities 
are not exceeded in absolute dollars by a PGP, NPPGP, TGP, physician, 
or nonphysician practitioner's participation in both a sharing 
arrangement and distribution arrangement for the care of the same CJR-X 
beneficiaries during the performance year. Allowing both types of 
arrangements for the same individual or entity for care of the same 
beneficiary during the performance year could also allow for duplicate 
counting of the individual or entity's same contribution toward model 
goals and provision of CJR-X activities in the methodologies for both 
gainsharing and distribution payments, leading to financial gain for 
the individual or entity that is disproportionate to the contribution 
toward model goals and provision of CJR-X activities by that individual 
or entity. However, we recognize there could be instances where an 
individual or entity could have distribution arrangements with multiple 
CJR-X collaborators. For example, a physician may practice with and 
have reassigned their Medicare billing rights to multiple PGPs, and 
those PGPs may each be CJR-X collaborators. We seek comment on allowing 
an individual or entity to have distribution arrangements with multiple 
CJR-X collaborators and whether there are additional program integrity 
safeguards that should be established in those scenarios. Finally, we 
propose that the CJR-X collaborator must retain and provide access to, 
and must require collaboration agents to retain and provide access to, 
the required documentation.
    We seek comment on the requirements for distribution arrangements 
under CJR-X at Sec.  512.675(b)

[[Page 19711]]

(6) Downstream Distribution Arrangements
(a) General
    We propose that CJR-X allow for certain financial arrangements 
within an ACO between a PGP and its members. Specifically, we propose 
that certain financial arrangements between a collaboration agent that 
is both a PGP, NPPGP, or TGP and an ACO participant and another 
individual termed ``downstream collaboration agent'' be termed a 
``downstream distribution arrangement.'' We propose to define a 
``downstream distribution arrangement'' as a financial arrangement 
between a collaboration agent that is both a PGP, NPPGP, or TGP and an 
ACO participant and a downstream collaboration agent for the sole 
purpose of sharing a distribution payment received by the PGP, NPPGP, 
or TGP. We propose to define a ``downstream collaboration agent'' as an 
individual who is not a CJR-X collaborator or a collaboration agent and 
who is a PGP member, a NPPGP member, or a TGP member that has entered 
into a downstream distribution arrangement with the same PGP, NPPGP, or 
TGP in which he or she is an owner or employee, and where the PGP, 
NPPGP, or TGP is a collaboration agent. Where a payment from a 
collaboration agent to a downstream collaboration agent is made 
pursuant to a downstream distribution arrangement, we define that 
payment as a ``downstream distribution payment.'' A collaboration agent 
may only make a downstream distribution payment in accordance with a 
downstream distribution arrangement which complies with the 
requirements of this section and all other applicable laws and 
regulations, including the fraud and abuse laws.
    We seek comment on the definitions at Sec.  512.605 for 
``downstream collaboration agent,'' ``downstream distribution 
arrangement,'' and ``downstream distribution payment.''
(b) Requirements
    To help ensure that the sole purpose of downstream distribution 
arrangements is to create financial alignment between collaboration 
agents that are PGPs, NPPGPs, or TGPs which are also ACO participants 
and downstream collaboration agents and to meet the quality and 
efficiency goals of CJR-X We propose that all downstream distribution 
arrangements must be in writing and signed by the parties, contain the 
effective date of the agreement, and entered into before care is 
furnished to CJR-X beneficiaries under the downstream distribution 
arrangement. Furthermore, we propose that participation must be 
voluntary and without penalty for nonparticipation, and the downstream 
distribution arrangement must require the downstream collaboration 
agent to comply with all applicable laws and regulations.
    Like our proposals for gainsharing and distribution payments, we 
propose that the opportunity to make or receive a downstream 
distribution payment must not be conditioned directly or indirectly on 
the volume or value of referrals or business otherwise generated by, 
between or among the CJR-X participant, any CJR-X collaborator, any 
collaboration agent, any downstream collaboration agent, or any 
individual or entity affiliated with a CJR-X participant, CJR-X 
collaborator, collaboration agent, or downstream collaboration agent. 
We propose the amount of any downstream distribution payments from an 
NPPGP to an NPPGP member or from a TGP to a TGP member must be 
determined in accordance with a methodology that is solely based on 
quality of care and the provision of CJR-X activities and that may take 
into account the amount of such CJR-X activities provided by a 
downstream collaboration agent relative to other downstream 
collaboration agents. We believe that the amount of a downstream 
collaboration agent's provision of CJR-X activities (including direct 
care) to CJR-X beneficiaries during episodes may contribute to the CJR-
X participant's internal cost savings and reconciliation payment amount 
that may be available for making a gainsharing payment to the CJR-X 
collaborator that is then shared through a distribution payment to the 
collaboration agent with which the downstream collaboration agent has a 
downstream distribution arrangement. Greater contributions of CJR-X 
activities by one downstream collaboration agent versus another 
downstream collaboration agent that result in different contributions 
to the distribution payment made to the collaboration agent with which 
the downstream collaboration agents both have a downstream distribution 
arrangement may be appropriately valued in the methodology used to make 
downstream distribution payments to those downstream collaboration 
agents.
    Similar to our proposed requirements for distribution arrangements 
for those CJR-X collaborators that are PGPs, we propose that a 
downstream collaboration agent is eligible to receive a downstream 
distribution payment only if the PGP billed for an item or service 
furnished by the downstream collaboration agent to a CJR-X beneficiary 
during an episode that was attributed to the same performance year for 
which the CJR-X participant accrued the internal cost savings or earned 
the reconciliation payment amount that comprise the gainsharing payment 
from which the ACO made the distribution payment to the PGP that is an 
ACO participant. This proposal ensures that there is the same required 
relationship between direct care for CJR-X beneficiaries during 
episodes and downstream distribution payment eligibility that we 
require for gainsharing and distribution payment eligibility. We 
believe this requirement provides a safeguard against payments to 
downstream collaboration agents that are unrelated to direct care for 
CJR-X beneficiaries during episodes.
    Further, we propose that the total amount of all downstream 
distribution payments made to downstream collaboration agents must not 
exceed the amount of the distribution payment received by the 
collaboration agent (that is, the PGP, NPPGP, or TGP that is an ACO 
participant) from the ACO that is a CJR-X collaborator. Like 
gainsharing, alignment, and distribution payments, we propose that all 
downstream distribution payments must be made by check, electronic 
funds transfer, or another traceable cash transaction. The downstream 
collaboration agent must retain the ability to make decisions in the 
best interests of the patient, including the selection of devices, 
supplies, and treatments. The distribution arrangement must not induce 
a downstream collaboration agent to reduce or limit medically necessary 
items and services to any Medicare beneficiary or reward the provision 
of items and services that are medically unnecessary.
    We propose that the PGP, NPPGP, or TGP must maintain 
contemporaneous documentation regarding downstream distribution 
arrangements in accordance with Sec.  512.680(b)(12), including all of 
the following:
     The relevant written agreements.
     The date and amount of any downstream distribution 
payment(s).
     The identity of each downstream collaboration agent that 
received a downstream distribution payment.
     A description of the methodology and accounting formula 
for determining the amount of any downstream distribution payment.
    We propose that the PGP, NPPGP, or TGP may not enter into a 
downstream distribution arrangement with any PGP, NPPGP, or TGP member 
who has a sharing arrangement with a CJR-X participant or distribution 
arrangement

[[Page 19712]]

with the ACO the PGP, NPPGP, or TGP is a participant in. This proposal 
ensures that the proposed separate limitations on the total amount of 
gainsharing payment, distribution payment, and downstream distribution 
payment to PGP, NPPGP, or TGP members that are solely based on quality 
of care and the provision of CJR-X activities are not exceeded in 
absolute dollars by a PGP, NPPGP, or TGP member's participation in more 
than one type of arrangement for the care of the same CJR-X 
beneficiaries during episodes. Allowing more than one arrangement for 
the same PGP, NPPGP, or TGP member for the care of the same CJR-X 
beneficiaries during episodes could also allow for duplicate counting 
of the PGP, NPPGP, or TGP member's effort in CJR-X activities in the 
methodologies for the different payments. Finally, we propose that the 
PGP, NPPGP, or TGP must retain and provide access to, and must require 
downstream collaboration agents to retain and provide access to, the 
required documentation in accordance with Sec.  512.680(b)(14).
    We seek comment on the requirements for downstream distribution 
arrangements at Sec.  512.680.
(7) Beneficiary Incentives
    We believe it is necessary and appropriate to provide additional 
flexibilities to CJR-X participants to increase access to tools that 
could improve CJR-X beneficiaries' quality of care and meet other goals 
of the model. CJR-X participants may choose to provide in-kind patient 
engagement incentives to CJR-X beneficiaries in an episode, which may 
include, but would not be limited to, items of technology, subject to 
the following conditions consistent with 42 CFR 510.515.
    As discussed in section X.C.2.i.(9) of this proposed rule, if the 
proposed beneficiary incentives are finalized, we would expect to make 
a determination that the anti-kickback statute safe harbor for CMS-
sponsored model patient incentives (42 CFR 1001.952(ii)) is available 
to protect the beneficiary incentives proposed in this section when the 
incentives are offered in compliance with the requirements established 
in the final rule and the conditions for use of the anti-kickback 
statute safe harbor set out at 42 CFR 1001.952(ii).
    As stated previously, CJR-X participants may choose to provide in-
kind engagement incentives, which may include but not be limited to 
items of technology, to CJR-X beneficiaries in an episode, subject to 
the following proposed conditions. We propose that the incentive must 
be provided directly by the CJR-X participant or by an agent of the 
CJR-X participant under their direction and control to the CJR-X 
beneficiary during an episode. Additionally, we propose that the item 
or service provided must be reasonably connected to the CJR-X 
beneficiary's medical care, and be a preventive care item or service or 
an item of service that advances a clinical goal, as described in 
section X.C.2.i.(7)(b) of this proposed rule, by engaging the CJR-X 
beneficiary in better managing their own health.
    We seek comment on the proposed conditions for CJR-X beneficiary 
incentives, as outlined in Sec.  512.685. Specifically, we seek comment 
on whether these proposed conditions are reasonable, and whether 
additional conditions are appropriate to further engage CJR-X 
beneficiaries in their own healthcare management while preventing fraud 
or abuse.
(a) Technology Provided to a CJR-X Beneficiary
    In some cases, items or services involving technology may be useful 
as beneficiary engagement incentives that can advance a clinical goal 
of CJR-X by engaging a CJR-X beneficiary in managing their health 
during the 90 days following discharge from the anchor hospitalization 
or anchor procedure. However, we believe specific enhanced safeguards 
are necessary for these items and services to prevent abuse, and our 
proposals are consistent with the CJR Model policies (80 FR 73437). 
Specifically, we propose that items or services involving technology 
provided to a beneficiary may not exceed $1,000 in retail value for any 
CJR-X beneficiary in any episode (per episode), and that items or 
services involving technology provided to a CJR-X beneficiary must be 
the minimum necessary to advance a clinical goal as discussed in this 
section for a CJR-X beneficiary in an episode. We propose additional 
enhanced requirements for items of technology exceeding $75 in retail 
value as an additional safeguard against misuse of these items as 
beneficiary engagement incentives. Specifically, we propose that these 
items of technology that exceed $75 in retail value remain the property 
of the CJR-X participant and be retrieved from the CJR-X beneficiary at 
the end of the episode. The CJR-X participant must document all 
retrieval attempts, including the ultimate date of retrieval. We 
understand that CJR-X participants may not always be able to retrieve 
these items after the episode ends, such as when a CJR-X beneficiary 
dies or moves to another geographic area. Therefore, in cases when the 
item of technology is not able to be retrieved, the CJR-X participant 
must determine why the item was not retrievable and if it was 
determined that the item was used inappropriately (if it were sold, for 
example) preventing future beneficiary incentives for that CJR-X 
beneficiary. Following this process, the documentation of diligent, 
good faith attempts to retrieve items of technology will be deemed to 
meet the retrieval requirement. We recognize this requirement may 
increase CJR-X participant burden to document attempts at retrieval and 
seek comment if the value threshold should be raised or if there are 
other ways to demonstrate attempts at retrieval that may be less 
burdensome for the CJR-X participant.
    We seek comment on our proposed CJR-X requirements at Sec.  512.685 
for beneficiary engagement incentives that involve technology. We 
welcome comment on additional or alternative program integrity 
safeguards for this type of beneficiary engagement incentive, including 
whether the financial thresholds proposed in this section are 
reasonable, necessary, and appropriate.
(b) Clinical Goals of CJR-X
    As discussed in section X.C.2.d. of this proposed rule, the 
proposed ``episodes'' are broadly defined to include most Part A and 
Part B items and services furnished during episodes of care that extend 
90 days following discharge from the anchor hospitalization or anchor 
procedure that begins the episode. Therefore, we believe that in-kind 
beneficiary engagement incentives may appropriately be provided for 
managing acute conditions arising from episodes, as well as chronic 
conditions if the condition is likely to have been affected by care 
during the episode or when substantial services are likely to be 
provided for the chronic condition during the episode. We are proposing 
to allow CJR-X participants to offer in-kind beneficiary engagement 
incentives, where such incentives must be closely related to the 
provision of high-quality care and advance a clinical goal for a CJR-X 
beneficiary and should not serve as inducements for CJR-X beneficiaries 
to seek care from the CJR-X participants or other specific suppliers 
and providers. This outline is similar to the beneficiary incentive 
guidelines outlined previously in the CJR Model (80 FR 73553). We 
propose that beneficiary incentives must advance one of the following 
clinical goals of CJR-X:
     Beneficiary adherence to drug regimens.

[[Page 19713]]

     Beneficiary adherence to a care plan.
     Reduction of readmissions and complications resulting from 
treatment during the episode.
     Management of chronic diseases and conditions that may be 
affected by treatment for the CJR-X clinical condition.
    We seek comment on our proposals for beneficiary engagement 
incentives at Sec.  512.685.
(c) Documentation of Beneficiary Engagement Incentives
    As a program safeguard against misuse of beneficiary engagement 
incentives under CJR-X, we propose that CJR-X participants must 
maintain documentation of items and services furnished as beneficiary 
engagement incentives that exceed $25 in retail value including items 
of technology. In addition, we propose to require that the 
documentation established contemporaneously with the provision of the 
items and services must include at least the following:
     The date the incentive is provided.
     The incentive and estimated value of the item or service.
     The identity of the beneficiary to whom the item or 
service was provided.
    We further propose that the documentation regarding items of 
technology exceeding $75 in retail that are required to be retrieved 
from the beneficiary at the end of an episode must also include 
contemporaneous documentation of any attempt to retrieve technology. In 
instances where the item of technology is not able to be retrieved, the 
CJR-X participant must determine why it is not retrievable, and if the 
item were misappropriated (if it were sold, for example), then further 
steps must be taken to ensure that CJR-X beneficiary does not receive 
further beneficiary incentives. Following this process, documented, 
diligent, good faith attempts to retrieve items of technology will be 
deemed to meet the retrieval requirement. This outline is similar to 
the beneficiary incentive guidelines outlined previously in the CJR 
Model (80 FR 73553).
    Finally, we propose that the CJR-X participant must retain and 
provide access to the required documentation in accordance with Sec.  
512.135.
    We seek comment on our proposed documentation requirements for 
beneficiary engagement incentives under CJR-X at Sec.  512.685(d).
(8) Enforcement Authority
    OIG authority is not limited or restricted by the provisions of the 
model, including the authority to audit, evaluate, investigate, or 
inspect the CJR-X participant, CJR-X collaborators, collaboration 
agents, downstream collaboration agents, or any other person or entity 
or their records, data, or information, without limitations. 
Additionally, no model provisions limit or restrict the authority of 
any other Government Agency to do the same.
    The propose that the enforcement authority for CJR-X would be in 
accordance with the standard provisions applicable to all Innovation 
Center models at Sec.  512.160.
(9) Fraud and Abuse Waiver and OIG Safe Harbor Authority
    Under section 1115A(d)(1) of the Act, the Secretary may waive such 
requirements of Titles XI and XVIII and of sections 1902(a)(1), 
1902(a)(13), 1903(m)(2)(A)(iii) of the Act, and certain provisions of 
section 1934 of the Act as may be necessary solely for purposes of 
carrying out section 1115A of the Act with respect to testing models 
described in section 1115A(b) of the Act.
    In the CJR 2015 final rule (80 FR 73325) the model was delayed by 3 
months to allow for adequate time to prepare for hospital 
participation. Under the authority in the previous paragraph, OIG and 
CMS jointly issued Notice of Waivers of Certain Fraud and Abuse Laws in 
Connection with the Comprehensive Care for Joint Replacement Model 
(hereinafter ``CJR 2017 notice'') effective January 1, 2018.\483\ The 
CJR 2017 notice set forth the specific conditions that must be met by 
CJR Model participants to qualify for a waiver. The waivers in the CJR 
2017 Notice protected specific financial arrangements that were entered 
into pursuant only to the CJR Model and described in the regulations 
governing the CJR Model at 42 CFR part 510, as amended from time to 
time.\484\ The waivers in the CJR 2017 notice did not apply to other 
arrangements that may be entered into by participant hospitals and 
other entities or individuals and were not applicable outside of the 
CJR Model. These notices waived section 1128A(a)(5) of the Act 
(relating to the beneficiary inducements civil monetary penalty (CMP) 
law) and sections 1128B(b)(l) and (2) of the Act (relating to the 
Federal anti-kickback statute) under section 1115A(d)(1) of the Act 
with respect to specified arrangements permitted under the CJR Model.
---------------------------------------------------------------------------

    \483\ The CJR 2017 Notice is available at: https://www.cms.gov/medicare/fraud-and-abuse/physicianselfreferral/downloads/2017-cjr-model-waivers.pdf.
    \484\ See 80 FR 73274 (November 24, 2015), as amended by 82 
FR180 (January 3, 2017) and 82 FR 57066 (December 1, 2017).
---------------------------------------------------------------------------

    For this model and consistent with the authority under section 
1115A(d)(1) of the Act, the Secretary may consider issuing waivers of 
certain fraud and abuse provisions in sections 1128A, 1128B, and 1877 
of the Act. No fraud or abuse waivers are being issued in this 
document; fraud and abuse waivers, if any, would be set forth in 
separately issued documentation. Any such waiver would apply solely to 
CJR-X, as done under the CJR Model, and could differ in scope or design 
from waivers granted for other programs or models. Thus, 
notwithstanding any provision of this proposed rule, CJR-X 
participants, CJR-X collaborators, collaboration agents, and downstream 
collaboration agents must comply with all applicable laws and 
regulations, except as explicitly provided in any such separately 
documented waiver issued pursuant to section 1115A(d)(1) of the Act 
specifically for CJR-X.
    In addition to or in lieu of a waiver of certain fraud and abuse 
provisions in sections 1128A and 1128B of the Act, CMS expects to make 
a determination that the anti-kickback statute safe harbor for CMS-
sponsored model arrangements and CMS-sponsored model patient incentives 
(42 CFR 1001.952(ii)(1) and 42 CFR 1001.952(ii)(2)) is available to 
protect remuneration exchanged pursuant to certain financial 
arrangements and patient incentives that may be permitted under the 
final rule, if issued. Specifically, if the proposed rule is finalized, 
we expect to determine that the CMS-sponsored models safe harbor will 
be available to protect the following financial arrangements and 
incentives: the CJR-X sharing arrangement's gainsharing payments and 
alignment payments, the distribution arrangement's distribution 
payments with CJR-X collaborators and collaboration agents, the 
downstream distribution arrangements and downstream distribution 
payments with collaboration agents and downstream collaboration agents, 
and CJR-X beneficiary incentives. At proposed Sec.  512.690(a), we 
propose to make the Federal anti-kickback statute safe harbor for CMS-
sponsored model arrangements available to protect remuneration 
furnished in the CJR-X in the form of the sharing arrangement's 
gainsharing payments and alignment payments that meet all safe harbor 
requirements set forth in 42 CFR 1001.952(ii) and proposed Sec.  
512.670, in the form of the distribution arrangement's distribution 
payments that meet all safe harbor requirements set forth in 42 CFR 
1001.952(ii) and proposed Sec.  512.675,

[[Page 19714]]

and in the form of the downstream distribution arrangement's 
distribution payments provided that all of the financial arrangements 
associated with such payment meet all safe harbor requirements set 
forth in 42 CFR 1001.952(ii) and proposed Sec.  512.680.
    Additionally, at proposed Sec.  512.690(b), we propose to make the 
Federal anti-kickback statute safe harbor for CMS-sponsored model 
patient incentives (42 CFR 1001.952(ii)(2)) available to protect CJR-X 
beneficiary incentives that meet all safe harbor requirements set forth 
in 42 CFR 1001.952(ii) and 512.685.
    We seek comment on our proposals at Sec.  512.690 that the anti-
kickback safe harbor for CMS-sponsored model arrangements (42 CFR 
1001.952(ii)(1)) and CMS-sponsored model patient incentives (42 CFR 
1001.952(ii)(2)) be available to CJR-X participants and CJR-X 
collaborators, collaboration agents, and downstream collaboration 
agents.
j. Proposed Waivers of Medicare Program Requirements
(1) Overview
    We believe it may be necessary and appropriate to provide 
flexibilities to hospitals participating in CJR-X, as well as other 
providers and suppliers that furnish services to beneficiaries in 
episodes. The purpose of such flexibilities would be to increase 
episode quality, decrease episode spending or internal costs, or both 
of providers and suppliers, resulting in better, more coordinated care 
for beneficiaries and improved financial efficiencies for Medicare, 
providers, and beneficiaries. These waivers were conducted in the CJR 
Model, and the easing of rules around the 3-Day SNF Rule and Telehealth 
allowed for easier discharges to less intensive settings and to avoid 
any resulting drops in quality of care via unplanned readmissions. 
These possible additional flexibilities could include use of our waiver 
authority under section 1115A of the Act, which provides authority for 
the Secretary to waive such requirements of title XVIII of the Act as 
may be necessary solely for purposes of carrying out section 1115A of 
the Act with respect to testing models described in section 1115A(b) of 
the Act. This provision affords broad authority for the Secretary to 
waive statutory Medicare program requirements as necessary to carry out 
the provisions of section 1115A of the Act.
    As we have stated elsewhere in section X.C.1.c. of this proposed 
rule, our previous and current efforts in testing episode-based-payment 
models have led us to believe that models where entities bear financial 
responsibility for total Medicare spending for episodes of care hold 
the potential to incentivize the most substantial improvements in 
episode quality and efficiency. We believe that where CJR-X 
participants bear financial accountability for excess episode spending 
beyond the reconciliation target price while high quality care is 
valued, they will have an increased incentive to coordinate care 
furnished by the hospital and other providers and suppliers throughout 
the episode to improve the quality and efficiency of care. With these 
incentives present, there may be a reduced likelihood of over-
utilization of services that could otherwise result from waivers of 
Medicare program rules. Given these circumstances, waivers of certain 
program rules for providers and suppliers furnishing services to CJR-X 
beneficiaries may be appropriate to offer more flexibility than under 
existing Medicare rules for such providers and suppliers, so that they 
may provide appropriate, efficient care for beneficiaries. An example 
of such a program rule that could be waived to potentially allow more 
efficient inpatient episodes would be the 3-day inpatient hospital stay 
requirement prior to a covered skilled nursing facility (SNF) stay for 
beneficiaries who could appropriately be discharged to a SNF or swing 
bed after less than a 3-day inpatient hospital stay. This type of 
waiver was implemented in a range of previous and existing CMS 
initiatives, including various episode-based payment models and 
accountable care initiatives such as the CJR Model and its successor 
model, TEAM. Keeping these waivers in the expansion of CJR-X will build 
on past successes.
    We welcome comments on possible waivers under section 1115A of the 
Act of certain Medicare program rules beyond those specifically 
discussed in this proposed rule that might be necessary to test this 
model. We will consider the comments that are received during the 
public comment period and may make future proposals regarding program 
rule waivers during the course of the model test. We are especially 
interested in comments explaining how such waivers could provide 
providers and suppliers with additional flexibilities that are not 
permitted under existing Medicare rules to increase quality of care and 
reduce unnecessary episode spending, but that could be appropriately 
used in the context of CJR-X where CJR-X participants bear full 
responsibility for total episode spending.
    Specific program rules for which we propose waivers under CJR-X to 
support provider and supplier efforts to increase quality and decrease 
episode spending and for which we invite comments are included in the 
sections that follow. We propose that these waivers of program rules 
would apply to the care of CJR-X beneficiaries who are in episodes at 
the time when the waiver is used to bill for a service that is 
furnished to the beneficiary, even if the episode is later cancelled as 
described in section X.C.2.d.(3)(e) of this proposed rule. Finally, we 
propose that if a service is found to have been billed and paid by 
Medicare under circumstances only allowed by a CJR-X program rule 
waiver for a beneficiary not in CJR-X at the time the service was 
furnished, CMS would recover payment for that service from the provider 
or supplier who was paid, and require that provider and supplier to 
repay the beneficiary for any coinsurance previously collected.
(2) Post-Discharge Home Visits
    The CJR Model permitted certain post-discharge home visits during 
the episode of care to encourage CJR participant hospitals to closely 
examine the most appropriate PAC settings for beneficiaries, taking 
into consideration beneficiary choice and location of beneficiary home 
or place of residence, so that the clinically appropriate setting of 
the lowest acuity was recommended following discharge from the anchor 
hospitalization or anchor procedure. Consistent with the CJR Model and 
CJR-X's goals of improving quality and reducing unnecessary Medicare 
expenditures, we believe continuing such regulatory flexibilities would 
support clinically appropriate home-based follow-up care may further 
advance effective episode management.
    Early post-discharge periods represent a time of heightened 
clinical vulnerability for beneficiaries undergoing joint replacement. 
Complications such as infection, medication-related issues, and 
mobility limitations frequently arise within the first weeks following 
discharge and may result in avoidable emergency department visits, 
readmissions, or use of institutional post-acute care services. We 
believe that timely, in-person home visits furnished by qualified 
clinicians may help identify emerging complications, reinforce 
discharge instructions, support medication reconciliation, and 
facilitate adherence to rehabilitation plans in the beneficiary's home 
environment.

[[Page 19715]]

    We also anticipate that permitting targeted post-discharge home 
visits would promote safe discharge to home when clinically 
appropriate, potentially reducing reliance on higher-cost institutional 
post-acute care settings. Post-acute care spending represents a 
significant portion of episode spending, therefore enabling home-based 
clinical monitoring and care coordination, may support CJR-X 
participants' efforts to redesign care pathways in ways that improve 
outcomes while lowering total episode expenditures.
    In the BPCI Advanced and CJR Models (80 FR 73444), we provided a 
waiver of the ``incident to'' rule to allow a physician or nonphysician 
practitioner participating in care redesign under a participating 
provider to bill for services furnished to a beneficiary who does not 
qualify for Medicare coverage of home health services as set forth 
under Sec.  409.42 where the services are furnished in the 
beneficiary's home during the episode after the beneficiary's discharge 
from an acute care hospital. The ``incident to'' rules are set forth in 
Sec.  410.26(b)(5), which requires services and supplies furnished 
incident to the service of a physician or other practitioner must be 
provided under the ``direct supervision'' (as defined at Sec.  
410.32(b)(3)(ii)) of a physician or other practitioner.
    In the BPCI Advanced and CJR Models, the waiver is available only 
for services that are furnished by licensed clinical staff under the 
``general supervision'' (as defined at Sec.  410.32(b)(3)(i)) of a 
physician (or other practitioner), or other qualified health care 
professional, and who are allowed by law, regulation, and facility 
policy to perform or assist in the performance of a specific 
professional service, but do not individually report that professional 
service. While the services may be furnished by licensed clinical 
staff, they must be billed by the physician (or other practitioner) or 
participant to which the supervising physician has reassigned their 
billing rights in accordance with CMS instructions using a Healthcare 
Common Procedures Coding System (HCPCS) G-code created by CMS 
specifically for the BPCI Advanced or CJR Models. In the case of the 
incident to waiver under BPCI Advanced, the waiver allows physician and 
nonphysician practitioners to furnish the services up to 13 home visits 
during each 90-day clinical episode. In the case of the incident to 
waiver under the original CJR Model, the waiver allows physician and 
nonphysician practitioners to furnish the services up to 9 home visits 
during each 90-day clinical episode. This waiver was later modified to 
apply to anchor procedures in the CJR Extension (86 FR 23552). All 
other Medicare coverage and payment criteria must be met for both BPCI 
Advanced and CJR Models.
    We recognize TEAM did not waive the ``incident to'' rule set forth 
in Sec.  410.26(b)(5) given the low waiver utilization in other CMS 
models and initiatives. However, we have determined to keep continuity 
between CJR-X and the CJR Extension to preserve the policies tested as 
it pertains to model waivers. However, we can monitor utilization and 
reassess the necessity of this waiver at a later date. We believe this 
will ensure the integrity of model policies between the CJR Model and 
CJR-X as it expands nationally. Therefore, we propose to waive the 
``incident to'' rule set forth in Sec.  410.26(b)(5), to allow a CJR-X 
beneficiary who does not qualify for home health services to receive 
post-discharge visits in his or her home or place of residence any time 
during the episode. The waiver would not apply to beneficiaries who 
would qualify for home health services under the Medicare program, as 
set forth under Sec.  409.42. Therefore, these visits would not be 
billed for such beneficiaries. Under the proposed waiver, we would 
allow licensed clinical staff, such as nurses, either employed by a 
hospital or not, to furnish the service under the general supervision 
of a physician, who may be either an employee or a contractor of the 
hospital. We would allow services furnished under the waiver to be 
billed under the physician fees schedule by the physician or 
nonphysician practitioner or by the hospital to which the supervising 
physician has reassigned his or her benefits. In the latter scenario, 
we note that the post-discharge home visit services will not be 
``hospital services,'' even when furnished by clinical staff of the 
hospital. We plan to monitor patterns of utilization of home health 
services using this waiver under CJR-X to monitor for overutilization 
or reductions in medically necessary care, and significant reductions. 
By using this waiver now and monitoring use, we can evaluate 
effectiveness and redetermine its necessity if deemed superfluous.
    Under the CJR Model, we allowed up to 9 post-discharge home visits 
to be billed and paid during each 90-day post-anchor hospitalization or 
anchor procedure. This limit on the number of visits is based on the 
average post-acute care LOS of approximately 30 to 45 days for original 
CJR episodes and the incentives under original CJR to improve 
efficiency, which may shorten post-acute care stays. Thus, 9 visits 
represent a home visit on average of once per week for two-thirds of 
the 90-day episode duration, the period of time when the typical 
beneficiary may have concluded post-acute care in an efficient episode. 
We propose to adopt the same number of post-discharge home visits in 
CJR-X. Specifically, we propose to allow up to 9 post-discharge home 
visits to be billed and paid during each 90-day post-anchor 
hospitalization or anchor procedure. We also propose that the service 
be billed with a HCPCS code G-code. The G-code would be created before 
the start of CJR-X and would be specific to CJR-X to allow for a home 
visit for patient assessment performed by clinical staff for an 
individual not considered homebound, including, but not necessarily 
limited to patient assessment of clinical status, safety/fall 
prevention, functional status/ambulation, medication reconciliation/
management, compliance with orders/plan of care, performance of 
activities of daily living, and ensuring CJR-X beneficiary connections 
to community and other services; for use only in CJR-X; may not be 
billed for a 30-day period covered by a transitional care management 
code. We propose the G-code would be paid at approximately $50 under 
the physician fee schedule. The standard physician fee schedule rate 
setting methodologies establish relative value units (RVUs) based on 
the resources required to furnish the typical service. In addition, we 
propose to update the values each year to correspond to final values 
established under the physician fee schedule.
    The waiver would not apply with respect to a CJR-X beneficiary who 
has qualified, or would qualify, for home health services when the 
visit was furnished. We expect that the visits by licensed clinical 
staff could include patient assessment, monitoring, assessment of 
functional status and fall risk, review of medications, assessment of 
adherence with treatment recommendations, patient education, 
communication and coordination with other treating clinicians, care 
management to improve beneficiary connections to community and other 
services, etc. These post-discharge home visits would remove barriers 
to follow-up care outside of the home with providers and suppliers and 
allow the CJR-X beneficiary to be treated in his or her home 
environment or place of residence, where potential safety concerns, 
such as tripping hazards, could quickly be identified and remediated. 
Given these occasions for further patient assessment and intervention, 
we believe that where

[[Page 19716]]

such post-discharge home visits are furnished, there are opportunities 
to increase patient-centered care coordination and decrease episode 
spending, potentially resulting in higher-quality care for 
beneficiaries and increased episode efficiency which may benefit the 
beneficiaries, the Medicare Trust Fund, and CJR-X participants.
    We also propose to waive current Medicare billing rules in order to 
allow the separate reporting of these post-discharge home visits during 
surgical global periods. The physician fee schedule payment for the 
surgical procedure includes 90 days of post-operative care furnished by 
the surgeon. Post-operative follow-up care is not separately billable 
by the surgeon or, unless there is a transfer of care, by another 
practitioner. The current construction of the global packages included 
in physician fee schedule payments reflects a narrow view of surgical 
follow-up care that does not encompass broader, more comprehensive 
models of post-operative care, such as an episode payment model CJR-X. 
We do not believe that the CJR-X post-discharge home visits, which can 
include nursing assessments for chronic conditions for which care may 
be affected by the surgery, would replace or substantially duplicate 
the kind of post-operative visits involved in furnishing post-operative 
follow-up care for the global surgery procedure under the physician fee 
schedule. Instead, we anticipate that the work of these post-discharge 
visits will be similar to the work furnished by the physician 
coordinating the patient's overall episode care. Therefore, we propose 
to waive the global surgery billing rules to allow the surgeon or other 
practitioners to furnish and bill for the post-discharge home visits 
during surgical global periods.
    We seek comments at Sec.  512.695(c) on the proposed waiver of the 
``incident to'' rule to pay for a maximum number of nine post-discharge 
home visits to beneficiaries who do not qualify for home health 
services by licensed clinical staff under the general supervision of a 
physician.
(3) Telehealth
    The CJR Model waived certain telehealth service requirements to 
allow providers and suppliers furnishing services to model 
beneficiaries to utilize telemedicine for beneficiaries that are not 
classified as rural and allowed the greatest degree of efficiency and 
communication between providers and suppliers and beneficiaries by 
allowing beneficiaries to receive telehealth services at their home or 
place of residence. We believe similar telehealth waivers would be 
essential to maximize the opportunity to improve the quality of care 
and efficiency for episodes of care in CJR-X.
    Under section 1834(m) of the Act, Medicare pays for telehealth 
services furnished by a physician or practitioner under certain 
conditions even though the physician or practitioner is not in the same 
location as the beneficiary. The telehealth services must be furnished 
to a beneficiary located in one of the ten types of originating sites 
specified in section 1834(m)(4)(C)(ii) of the Act and the site must 
satisfy at least one of the requirements of section 1834(m)(4)(C)(i)(I) 
through (III) of the Act. Generally, for Medicare payment to be made 
for telehealth services under the Medicare Physician Fee Schedule 
several conditions must be met, as set forth under Sec.  410.78(b). 
Specifically, the service must be on the Medicare list of telehealth 
services and meet all of the following other requirements for payment:
     The service must be furnished via an interactive 
telecommunications system.
     The service must be furnished to an eligible telehealth 
individual.
     The individual receiving the services must be in an 
eligible originating site.
    When all of these conditions are met, Medicare pays a facility fee 
to the originating site and provides separate payment to the distant 
site practitioner for the service. Section 1834(m)(4)(F)(i) of the Act 
defines ``Medicare telehealth services'' to include professional 
consultations, office visits, office psychiatry services, and any 
additional service specified by the Secretary, when furnished via a 
telecommunications system. For the list of approved Medicare telehealth 
services, see the CMS website at https://www.cms.gov/medicare/coverage/telehealth/list-services. Under section 1834(m)(4)(F)(ii) of the Act, 
CMS has an annual process to consider additions to and deletions from 
the list of telehealth services. We do not include any services as 
telehealth services when Medicare does not otherwise make a separate 
payment for them.
    In the CJR Model (80 FR 73274) as well as the national COVID-19 
public health emergency (PHE) telehealth waiver,\485\ and in the most 
recent Consolidated Appropriations Act, 2026, hospitals were permitted 
to use telehealth waivers that applied to two provisions:
---------------------------------------------------------------------------

    \485\ Coronavirus Preparedness and Response Supplemental 
Appropriations Act, 2020, P.L. 116-123 Sec.  101 (Mar. 6, 2020 
https://www.govinfo.gov/content/pkg/BILLS-;116hr748enr/pdf/BILLS-
116hr748enr.pdf.
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     CMS waived the geographic site requirements under 
1834(m)(4)(C)(i)(I) through (III) of the Act which allowed telehealth 
services to be furnished to eligible telehealth individuals when they 
are located at one of the eight originating sites at the time the 
service is furnished via a telecommunications system but without regard 
to the site meeting one of the geographic site requirements.
     CMS waived the originating site requirements under section 
1834(m)(4)(C)(ii)(I) through (X) of the Act which allowed the eligible 
telehealth individual to not be in an originating site when the 
otherwise eligible individual is receiving telehealth services in their 
home or place of residence.
    Specifically, like the telehealth waivers in the CJR Model (80 FR 
73448), we propose to waive the geographic site requirements of section 
1834(m)(4)(C)(i)(I) through (III) of the Act that limit telehealth 
payment to services furnished within specific types of geographic areas 
or in an entity participating in a federal telemedicine demonstration 
project approved as of December 31, 2000. Waiver of this requirement 
would allow beneficiaries located in any region to receive services 
related to the episode to be furnished via telehealth, as long as all 
other Medicare requirements for telehealth services are met. Any 
service on the list of Medicare approved telehealth services and 
reported on a claim that is not excluded from the proposed episode 
definition (see section X.C.2.d.(3). of this proposed rule) could be 
furnished to a CJR-X beneficiary, regardless of the CJR-X beneficiary's 
geographic location. Under CJR-X, this waiver would support care 
coordination and increasing timely access to high quality care for all 
CJR-X beneficiaries, regardless of geography. Additionally, we propose 
for CJR-X waiving the originating site requirements of 
section1834(m)(4)(C)(ii)(I) through (X) of the Act that specify the 
particular sites at which the eligible telehealth individual must be 
located at the time the service is furnished via a telecommunications 
system. Specifically, we propose to waive the requirement only when 
telehealth services are being furnished in the CJR-X beneficiary's home 
or place of residence during the episode. Any service on the list of 
Medicare approved telehealth services that is not excluded from the 
proposed episode definition (see section X.C.2.d.(3)(b). of this 
proposed rule) could be furnished to a

[[Page 19717]]

CJR-X beneficiary in their home or place of residence, unless the 
service's HCPCS code descriptor precludes delivering the service in the 
home or place of residence. For example, subsequent hospital care 
services could not be furnished to beneficiaries in their home since 
those beneficiaries would not be inpatients of the hospital. Though 
these activities are allowed via broad Medicare telehealth waivers, as 
recently extended under the Consolidated Appropriations Act, 2026, 
these waivers are not permanent and has been subject to 
reconsiderations and extensions by Congress. A CJR-X telehealth waiver 
would guarantee telehealth services mentioned in this waiver could 
continue for CJR-X participants even if the broad Medicare telehealth 
waivers expire.
    The existing set of codes used to report evaluation and management 
(E/M) visits are extensively categorized and defined by the setting of 
the service, and the codes describe the services furnished when both 
the patient and the practitioner are located in that setting. Section 
1834(m) of the Act provides for particular conditions under which 
Medicare can make payment for office visits when a patient is located 
in a health care setting (the originating sites authorized by statute) 
and the eligible practitioner is located elsewhere. However, we do not 
believe that the kinds of E/M services furnished to patients outside of 
health care settings via real-time, interactive communication 
technology are accurately described by any existing E/M codes. This 
would include circumstances when the patient is located in his or her 
home and the location of the practitioner is unspecified. In order to 
create a mechanism to report E/M services accurately, the BPCI Advanced 
and CJR Models (80 FR 73450) created specific sets of HCPCS G-codes to 
describe the E/M services furnished to the model beneficiaries in their 
homes via telehealth. Similarly for CJR-X, we propose to create a 
specific set of 4 HCPCS G-codes to describe the E/M services furnished 
to CJR-X beneficiaries in their homes via telehealth. If the proposed 
CJR-X is finalized, we would specify the precise G-code created for 
CJR-X and share them to CJR-X participants prior to the first 
performance year.
    Among the existing E/M visit services, we envision these services 
would be most similar to those described by the office and other 
outpatient E/M codes. Therefore, we propose to structure the new codes 
similarly to the office/outpatient E/M codes but adjusted to reflect 
the location as the CJR-X beneficiary's residence and the virtual 
presence of the practitioner. Specifically, we propose to create a 
parallel structure and set of descriptors currently used to report 
office or other outpatient E/M services, see Table X.C-06, for CPT 
codes CPT codes 99212 through 99215 for established patient visits. For 
example, the proposed G- code for a level 3 E/M visit for an 
established patient would be a telehealth visit for the evaluation and 
management of an established patient in the patient's home, which 
requires at least 2 of the following 3 key components:
     An expanded problem focused history;
     An expanded problem focused examination;
     Medical decision making of low complexity.
    Counseling and coordination of care with other physicians, other 
qualified health care professionals or agencies are provided consistent 
with the nature of the problem(s) and the patient's or family's needs 
or both. Usually, the presenting problem(s) are of low to moderate 
severity. Typically, 20 minutes are spent with the patient or family or 
both via real-time, audio and video intercommunications technology.
[GRAPHIC] [TIFF OMITTED] TP14AP26.216

    We note that we are not proposing a G-code to parallel the level 1 
office/outpatient visit for an established patient, since that service 
does not require the presence of the physician or other qualified 
health professional.
    We propose to develop payment rates for these new telehealth G-
codes for E/M services in the patient's home that are similar to the 
payment rates for the office/outpatient E/M services, since the codes 
will describe the work involved in furnishing similar services. 
Therefore, we propose to include the resource costs typically incurred 
when services are furnished via telehealth. In terms of the relative 
resource costs involved in furnishing these services, we believe that 
the efficiencies of virtual presentation generally limit resource costs 
other than those related to the professional time, intensity, and 
malpractice risk to marginal levels. Therefore, we propose to adopt 
work and malpractice (MP) RVUs associated with the corresponding level 
of office/outpatient codes as the typical service because the 
practitioner's time and intensity and malpractice liabilities when 
conducting a visit via telehealth are comparable to the office visit. 
We would include final RVUs under the CY 2027 Medicare Physician Fee 
Schedule for PY 1. Additionally, we propose to update these values each 
performance year to correspond to final values established under the 
Medicare Physician Fee Schedule.
    We considered whether each level of visit typically would warrant 
support by auxiliary licensed clinical staff within the context of CJR-
X. The cost of such staff and any associated supplies, for example, 
would be incorporated in the practice expense (PE) RVUs under the PFS. 
For the lower level visits, levels 2 and 3 for established visits, we 
did not believe that the visit would necessarily require auxiliary 
medical staff to be available in the patient's home. We anticipate 
these lower level visits would be the most commonly furnished and would 
serve as a mechanism for the patient to consult quickly with a 
practitioner for concerns that can be easily described and explained by 
the patient. We do not propose to include PE RVUs for these services, 
since we do not believe that virtual visits envisioned for this model 
typically incur the kinds of costs included in the PE RVUs under the 
Medicare Physician Fee Schedule. For higher level visits, we typically 
would anticipate some amount of support from auxiliary clinical staff. 
For example, wound examination and

[[Page 19718]]

minor wound debridement would be considered included in an E/M visit 
and would require licensed clinical staff to be present in the CJR-X 
beneficiary's home during the telehealth visit in order for the 
complete service to be furnished. We believe it would be rare for a 
practitioner to conduct as complex and detailed a service as a level 4 
or 5 E/M home visit via telehealth for CJR-X beneficiaries in episodes 
without licensed clinical staff support in the home.
    We have considered support by auxiliary clinical staff to be 
typical for level 4 or 5 E/M visits furnished to CJR-X beneficiaries in 
the home via telehealth, however, we do not propose to incorporate 
these costs through PE RVUs. Given the anticipated complexity of these 
visits, we would expect to observe level 4 and 5 E/M visits to be 
reported on the same claim with the same date of service as a home 
visit or during a period of authorized home health care. If neither of 
these occurs, we propose to require the physician to document in the 
medical record that auxiliary licensed clinical staff were available on 
site in the patient's home during the visit and if they were not, to 
document the reason that such a high- level visit would not require 
such personnel.
    We note that because the services described by the proposed G-
codes, by definition, are furnished remotely using telecommunications 
technology, they therefore are paid under the same conditions as in-
person physicians' services and they do not require a waiver to the 
requirements of section 1834(m) of the Act. We also note that because 
these home telehealth services are E/M services, all other coverage and 
payment rules regarding E/M services would continue to apply.
    Under CJR-X, this proposal to waive the originating site 
requirements and create new home visit telehealth HCPCS codes would 
support the greatest efficiency and timely communication between 
providers and beneficiaries by allowing beneficiaries to receive 
telehealth services at their places of residence.
    With respect to home health services paid under the home health 
prospective payment system (HH PPS), we emphasize that telehealth 
visits under this model cannot substitute for in- person home health 
visits per section 1895(e)(1)(A) of the Act. Furthermore, telehealth 
services by social workers cannot be furnished for CJR-X beneficiaries 
who are in a home health episode because medical social services are 
included as home health services per section 1861(m) of the Act and 
paid for under the Medicare HH PPS. However, telehealth services 
permitted under section 1834 of the Act and furnished by physicians or 
other practitioners, specifically physician assistants, nurse 
practitioners, clinical nurse specialists, certified nurse midwives, 
nurse anesthetists, psychologists, and dieticians, can be furnished for 
CJR-X beneficiaries who are in a home health episode. Finally, sections 
1835(a) and 1814(a) of the Act require that the patient has a face-to-
face encounter with the certifying physician or an allowed nonphysician 
practitioner (NPP) working in collaboration with or under the 
supervision of the certifying physician before the certifying physician 
certifies that the patient is eligible for home health services. Under 
Sec.  424.22(a)(1)(v), the face-to-face encounter can be performed up 
to 90 days prior to the start of home health care or within 30 days 
after the start of home health care. Section Sec.  424.22(a)(1)(v)(A) 
also allows a physician, with privileges, who cared for the patient in 
an acute or PAC setting (from which the patient was directly admitted 
to home health) or an allowed NPP working in collaboration with or 
under the supervision of the acute or PAC physician to conduct the 
face-to-face encounter.
    Although sections 1835(a) and 1814(a) of the Act allow the face-to-
face encounter to be performed via telehealth, we are not proposing 
that the waiver of the telehealth geographic site requirement for 
telehealth services and the originating site requirement for telehealth 
services furnished in the CJR-X beneficiary's home or place of 
residence would apply to the face-to-face encounter required as part of 
the home health certification when that encounter is furnished via 
telehealth. In other words, when a face-to-face encounter furnished via 
telehealth is used to meet the requirement for home health 
certification, the usual Medicare telehealth rules apply with respect 
to geography and eligibility of the originating site. We expect that 
this policy would not limit CJR-X beneficiaries' access to medically 
necessary home health services because beneficiaries receiving home 
health services during an episode will have had a face-to- face 
encounter with either the physician or an allowed NPP during their 
anchor hospitalization or a physician or allowed NPP during a post-
acute facility stay prior to discharge directly to home health 
services.
    Under the proposed waiver of the geographic site requirement and 
originating site requirement, all telehealth services would be required 
to be furnished in accordance with all Medicare coverage and payment 
criteria, and no additional payment would be made to cover set-up 
costs, technology purchases, training and education, or other related 
costs. The facility fee paid by Medicare to an originating site for a 
telehealth service would be waived if there is no facility as an 
originating site (that is, the service was originated in the CJR-X 
beneficiary's home). Finally, providers and suppliers furnishing a 
telehealth service to a CJR-X beneficiary in his or her home or place 
of residence during the episode would not be permitted to bill for 
telehealth services that were not fully furnished when an inability to 
provide the intended telehealth service is due to technical issues with 
telecommunications equipment required for that service. CJR-X 
beneficiaries would be able to receive services furnished pursuant to 
the telehealth waivers only during the episode.
    We plan to monitor patterns of utilization of telehealth services 
under CJR-X to monitor for overutilization or reductions in medically 
necessary care, and significant reductions in face-to- face visits with 
physicians and NPPs. Though this waiver existed in the CJR Model, the 
broader Medicare telehealth waivers also covered much of the CJR Model. 
By including a telehealth waiver specific to CJR-X now and monitoring 
use, we could gauge effectiveness and guarantee its access even if the 
broad Medicare telehealth waiver, that were recently extended under the 
Consolidated Appropriations Act, 2026, expires. We plan to specifically 
monitor the distribution of new telehealth home visits that we are 
proposing, as we anticipate greater use of lower level visits. Given 
our concern that auxiliary licensed clinical staff be present for level 
4 and 5 visits, we will monitor our proposed requirement that these 
visits be billed on the same claim with the same date of service as a 
home nursing visit, during a period authorized home health care, or 
that the physician document the presence of auxiliary licensed clinical 
staff in the home or an explanation as to the specific circumstances 
precluding the need for auxiliary staff for the specific visit.
    We seek comment on the proposed waivers with respect to telehealth 
services and the proposed creation of the home visit telehealth codes 
at Sec.  512.695(a).
(4) 3-Day SNF Rule
    Pursuant to section 1861(i) of the Act, a beneficiary must have a 
prior inpatient hospital stays of no fewer than 3 consecutive days to 
be eligible for

[[Page 19719]]

Medicare coverage of inpatient SNF care. We refer to this as the SNF 3-
day rule. We note that the SNF 3-day rule has been waived for Medicare 
SNF coverage under many Innovation Center initiatives, including other 
episode payment models such as the BPCI Advanced and CJR Models (80 FR 
73460), as well as the Medicare Shared Savings Program. Model and 
program participants that elect to use the waiver can discharge model 
beneficiaries in fewer than 3 days from an anchor hospital stay or 
anchor procedure (in the case of the CJR Model) to a SNF, or swing bed, 
where services are covered under Medicare Part A if all other coverage 
requirements for such services are satisfied.
    Because of the potential benefits we see for CJR-X participants, 
their provider partners, and beneficiaries, we propose to waive the SNF 
3-day rule for coverage of a SNF stay following the anchor 
hospitalization or anchor procedure under CJR-X. We propose to use our 
authority under section 1115A of the Act with respect to certain SNFs 
that furnish Medicare Part A post- hospital extended care services to 
beneficiaries included in an episode in CJR-X. We believe this waiver 
is necessary to the model test so that CJR-X participants can redesign 
care throughout the episode continuum of care extending to 90 days 
post-discharge from the anchor hospital stay or anchor procedure to 
maximize quality and hospital financial efficiency, as well as reduce 
episode spending under Medicare. All other Medicare rules for coverage 
and payment of Part A-covered SNF services would continue to apply to 
CJR-X beneficiaries in all performance years of the model. Further, to 
ensure protection to CJR-X beneficiary safety and optimize health 
outcomes, we propose to require that CJR-X participants may only 
discharge a CJR-X beneficiary under this proposed waiver of the SNF 3-
day rule to a SNF rated an overall of three stars or better by CMS 
based on information publicly available at the time of hospital 
discharge from an anchor hospital stay or anchor procedure. However, 
providers furnishing SNF services under swing bed agreements will not 
be subject to the star ratings requirement as described later in this 
section. Problem areas due to early hospital discharge may not be 
discovered through model monitoring and evaluation activities until 
well after the episode has concluded, and the potential for later 
negative findings alone may not afford sufficient CJR-X beneficiary 
protections. CMS created a Five-Star Quality Rating System for SNFs to 
allow SNFs to be compared more easily and to help identify areas of 
concerning SNF performance. The Nursing Home Compare website gives each 
SNF an overall rating of between 1 and 5 stars.\486\ Those SNFs with 5 
stars are considered to have much above average quality, and SNFs with 
1 star are considered to have quality much below average. Published SNF 
ratings include distinct ratings of health inspection, staffing, and 
quality measures, with ratings for each of the three sources combined 
to calculate an overall rating. These areas of assessment are all 
relevant to the quality of SNF care following discharge from the anchor 
hospitalization or anchor procedure initiating an episode, especially 
if that discharge occurs after fewer than 3 days in the hospital. 
Because of the potential greater risks following early inpatient 
hospital discharge, we believe it is appropriate that all CJR-X 
beneficiaries discharged from the CJR-X participant to a SNF, or swing 
bed, in fewer than 3 days be admitted to a SNF that has demonstrated 
that it can provide quality care to patients with significant 
unresolved post- surgical symptoms and problems. We believe such a SNF 
would need to provide care of at least average overall quality, which 
would be represented by an overall SNF 3-star or better rating.
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    \486\ Find & Compare Providers near you. Medicare.gov. https://www.medicare.gov/care-compare/?redirect=true&providerType=NursingHome.
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    Thus, the CJR-X participant must discharge the CJR-X beneficiary to 
a SNF that is qualified under the SNF 3-day rule waiver. We are 
proposing that to be qualified under the SNF 3-day rule waiver a SNF 
must be included in the most recent calendar year quarter Five- Star 
Quality Rating System listing for SNFs on the Nursing Home Compare 
website for the date of the CJR-X beneficiary's admission to the SNF. 
The qualified SNF must be rated an overall 3 stars or better for at 
least 7 of the 12 months based on a review of the most recent rolling 
12 months of overall star ratings, unless providers furnishing SNF 
services are doing so under swing bed agreements We propose to post on 
the CMS website the list of qualified SNFs in advance of the calendar 
quarter.
    We recognize that there may be instances where a CJR-X participant 
would like to use the 3-day SNF rule waiver, but the CJR-X beneficiary 
receives inpatient PAC through swing bed arrangements in a hospital or 
Critical Access Hospital (CAH), as designated in Sec.  485.606 of this 
chapter, which is not subject to the Five-Star Quality Rating System. 
For example, a CJR-X beneficiary located in a rural area may wish to 
receive PAC care closer to their home but there are no qualified SNFs 
in their area. The CJR Model (80 FR 73459) did not allow for exceptions 
to the star-rating requirements in the 3-day SNF waiver out of a 
concern for balancing the needs of participant flexibilities and 
beneficiary protections. However, in TEAM we finalized a policy 
allowing hospitals with swing beds arrangements to make use of the 3-
day SNF waiver (90 FR 37130). Similar to TEAM, we propose allowing CJR-
X participants to use the 3-day SNF rule waiver for hospitals and CAHs 
operating under swing bed agreements to support CJR-X beneficiary 
freedom of choice and provide greater flexibility to CJR-X participants 
for their care coordination efforts. We also propose for purposes of 
determining SNF qualification for the SNF 3-day rule waiver, that SNFs 
include providers furnishing SNF services under swing bed arrangements. 
Lastly, we propose that the minimum 3-star rating requirement for at 
least 7 of the past 12 months applies only if the provider furnishing 
SNF services is eligible to be included in the CMS Five-Star Quality 
Rating System. This approach is also consistent with the Shared Savings 
Program, which offers a similar 3-day SNF rule waiver and allows their 
ACOs to partner with hospitals and CAHs to with swing bed arrangements 
to utilize the waiver.
    We plan to monitor patterns of SNF utilization under the CJR-X, 
particularly with respect to hospital discharge in fewer than 3 days to 
a SNF, to ensure that CJR-X beneficiaries are not being discharged 
prematurely to SNFs and that they are able to exercise their freedom of 
choice without patient steering.
    We seek comment on our proposal at Sec.  512.695(b)(1) through (4) 
to waive the SNF 3-day stay rule following discharge from the anchor 
hospitalization or anchor procedures for episodes in CJR-X.
(a) Additional Beneficiary Protections Under the SNF 3-Day Stay Rule 
Waiver
    We believe that it will be necessary to propose beneficiary 
protections against financial liability in addition to the beneficiary 
protections discussed elsewhere in this proposed rule. Specifically, we 
believe it is important to discern whether a waiver applies to SNF 
services furnished to a particular beneficiary to ensure compliance 
with the conditions of the waiver and improve our ability to monitor 
waivers for misuse.

[[Page 19720]]

    In considering additional beneficiary protections that may be 
necessary to ensure proper use of SNF 3-day rule waiver under the CJR-
X, we note that there are existing, well-established payment and 
coverage policies for SNF services based on sections 1861(i), 
1862(a)(1), and 1879 of the Act that include protections for 
beneficiaries from liability for certain non-covered SNF charges. These 
existing payment and coverage policies for SNF services continue to 
apply under the CJR-X, including SNF services furnished pursuant to the 
SNF 3-day waiver. (For example, see section 70 in the Medicare Claims 
Processing Manual, Chapter 30--Financial Liability Protections on the 
CMS website at https://www.cms.gov/regulations-and-guidance/guidance/manuals/downloads/clm104c30.pdf; and Medicare Coverage of Skilled 
Nursing Facility Care https://www.medicare.gov/coverage/skilled-nursing-facility-snf-care; Medicare Benefit Policy Manual, Chapter 8--
Coverage of Extended Care (SNF) Services Under Hospital Insurance at 
https://www.cms.gov/regulations-and-guidance/guidance/manuals/downloads/bp102c08pdf.pdf). In general, CMS requires that the SNF 
inform a beneficiary in writing about services and fees before the 
beneficiary is discharged to the SNF (Sec.  483.10(b)(6)-); the 
beneficiary cannot be charged by the SNF for items or services that 
were not requested (Sec.  483.10.(c)(8)(iii)(A)); a beneficiary cannot 
be required to request extra services as a condition of continued stay 
(Sec.  483.10.(c)(8)(iii)(B)); and the SNF must inform a beneficiary 
that requests an item or service for which a charge will be made that 
there will be a charge for the item or service and what the charge will 
be (Sec.  483.10.(c)(8)(iii)(C)). (See also section 6 of Medicare 
Coverage of Skilled Nursing Facility Care at https://www.cms.gov/regulations-and-guidance/guidance/manuals/downloads/bp102c06.pdf.)
    As we discussed in the 2015 CJR final rule (80 FR 73454 through 
73460), commenters expressed concern regarding the lag between a CJR 
beneficiary's Medicare coverage or eligibility status change and a CJR-
X participant's awareness of that change. There may be cases in which a 
SNF waiver is used by a CJR-X participant because the CJR-X participant 
believes that the beneficiary meets the inclusion criteria, based on 
the information available to the hospital and SNF at the time of the 
beneficiary's admission to the SNF, but in fact the beneficiary's 
Medicare coverage has changed and the hospital was unaware of it based 
on available information. We recognize that despite good faith efforts 
by CJR-X participants and SNFs to determine a beneficiary's Medicare 
status for the model, it may occur that a beneficiary is not eligible 
to be included in the CJR-X at the time the SNF waiver is used. In 
these cases, we will cover services furnished under the waiver when the 
information available to the provider at the time the services under 
the waiver were furnished indicated that the beneficiary was included 
in the model.
    Based on our experience with SNF 3-day rule waiver, including in 
the CJR Model, we believe there are situations where it would be 
appropriate to require additional beneficiary financial protections 
under the SNF 3-day waiver for the CJR-X. Specifically, we are 
concerned about potential beneficiary financial liability for non-
covered Part A SNF services that might be directly related to use of 
the SNF 3-day waiver under the CJR-X. We are concerned that there could 
be scenarios where a CJR-X beneficiary could be charged for non-covered 
SNF services that were a result of a CJR-X participant's inappropriate 
use of the SNF waiver. Specifically, we are concerned that a CJR-X 
beneficiary could be charged for non-covered SNF services if a CJR-X 
participant discharges a CJR-X beneficiary to a SNF that does not meet 
the quality requirement (3 stars or higher in 7 of the last 12 months), 
and payment for SNF services is denied for lack of a qualifying 
inpatient hospital stay. We recognize that requiring a discharge 
planning notice would help mitigate concerns about CJR-X beneficiaries' 
potential financial liability for non-covered services. Nevertheless, 
we are concerned that in this scenario, once the claim is rejected, the 
CJR-X beneficiary may not be protected from financial liability under 
existing Medicare rules because the waiver would not be available, and 
the CJR-X beneficiary would not have had a qualifying inpatient 
hospital stay. Thus, the CJR-X beneficiary could be charged by the SNF 
for non-covered SNF services that were a result of an inappropriate 
attempt to use the waiver. In this scenario, Medicare would deny 
payment of the SNF claim, and the CJR-X beneficiary could potentially 
be charged by the SNF for these non-covered SNF services, potentially 
subjecting such CJR-X beneficiaries to significant financial liability. 
In this circumstance, we assume the CJR-X participant's intent was to 
rely upon the SNF 3-day waiver, but the waiver requirements were not 
met. We believe that in this scenario, the rejection of the claim could 
easily have been avoided if the hospital had confirmed that the 
requirements for use of the SNF 3-day waiver were satisfied or if the 
CJR-X beneficiary had been provided the discharge planning notice and 
elected to go to a SNF that met the quality requirement.
    The CJR Model modifications in the 2016 EPM rule (82 FR 180) 
addressed beneficiary liability financial concerns for non-covered SNF 
services related to the waiver by generally placing the risk on the 
participant hospital and we believe it is appropriate to propose a 
similar policy for CJR-X. Original CJR participant hospitals were 
generally held financially responsible for misusing the waiver in 
situations where waiver requirements are not met, because participant 
hospitals were required to be aware of the 3-day waiver requirements. 
Participant hospitals were the entities financially responsible for 
episode spending under the model and made the decision as to whether it 
is appropriate to discharge a beneficiary without a 3-day stay. In 
addition, the requirements for use of the SNF waiver were clearly laid 
out in the 2015 CJR Final Rule (80 FR 73460). CMS posted on the public 
website a list of qualifying SNFs (those with a 3-star or higher rating 
for 7 of the last 12 months). Original CJR participant hospitals were 
required to consult the published list of SNFs prior to utilizing the 
SNF 3-day rule waiver.
    For participant hospitals that provide a beneficiary with the 
discharge planning notice, the hospital would not have financial 
liability for non-covered SNF services that result from inapplicability 
of the waiver. In other words, when the participant hospital has 
discharged a beneficiary to a SNF that does not qualify under the 
conditions of the waiver, and has not provided the required discharge 
planning notice so that the beneficiary is aware that he or she is 
accepting financial liability for non-covered SNF services as a result 
of not having a qualifying inpatient stay, the ultimate responsibility 
and financial liability for the non-covered SNF stay rests with the 
participant hospital. For this reason, we are proposing to align with 
the CJR Model policy and require CJR-X participants to keep a record of 
discharge planning notice distribution to CJR-X beneficiaries. We will 
monitor CJR-X participants' use of discharge planning notices to assess 
the potential for their misuse.
    To protect CJR-X beneficiaries from being charged for non-covered 
SNF charges in instances when the waiver

[[Page 19721]]

was used inappropriately, and similar to the CJR Model (82 FR 558), we 
are proposing to add certain beneficiary protection requirements that 
would apply for SNF services that would otherwise have been covered 
except for lack of a qualifying hospital stay. Specifically, we propose 
that if a CJR-X participant discharges a CJR-X beneficiary without a 
qualifying 3-day inpatient stay to a SNF that is not on the published 
list of SNFs that meet the CJR-X SNF 3-Day Rule waiver quality 
requirements as of the date of admission to the SNF, the CJR-X 
participant will be financially liable for the SNF stay if no discharge 
planning notice is provided to the CJR-X beneficiary, alerting them of 
potential financial liability. If the CJR-X participant provides a 
discharge planning notice then the CJR-X participant will not be 
financially liable for the cost of the SNF stay and the normal Medicare 
FFS rules for coverage of SNF services will apply. In cases where the 
CJR-X participant provides a discharge planning notice and the CJR-X 
beneficiary chooses to obtain care from a non-qualified SNF without a 
qualifying inpatient stay, the CJR-X beneficiary assumes financial 
liability for services furnished (except those that are covered by 
Medicare Part B during a non-covered inpatient SNF stay).
    In the event a CJR-X beneficiary is discharged to a SNF without a 
qualifying 3-day inpatient stay, but the SNF is not on the qualified 
list as of the date of admission to the SNF, and the CJR-X participant 
has failed to provide a discharge planning notice, we propose that CMS 
apply the following rules:
     CMS does not make payment to the SNF for such services.
     The SNF must not charge the CJR-X beneficiary for the 
expenses incurred for such services; and the SNF must return to the 
CJR-X beneficiary any monies collected for such services.
     The hospital must be responsible for the cost of the 
uncovered SNF stay.
    We seek comment on these proposals at Sec.  512.695(b)(5) to hold 
the CJR-X participant financially responsible when the waiver of the 
SNF 3-day rule is used inappropriately.
k. Data Sharing
(1) Overview
    In this proposed rule, we aim to incentivize CJR-X participants to 
engage in care redesign efforts to improve quality of care and reduce 
Medicare FFS spending for beneficiaries included in the model during 
the anchor hospitalization or anchor procedure and the 90 days post-
discharge from the hospital or hospital outpatient department. These 
care redesign efforts would require CJR-X participants to work with and 
coordinate care with other health care providers and suppliers to 
improve the quality and efficiency of care for Medicare beneficiaries.
    We have experience with a range of efforts designed to improve care 
coordination for Medicare beneficiaries, including the BPCI Advanced 
and CJR Models (80 FR 73274), both of which make certain Medicare data 
available to participants to better enable them to achieve their goals. 
For example, both the BPCI Advanced and CJR Model (80 FR 73515) 
participants may request to receive beneficiary-identifiable claims 
data and financial performance data from the baseline period and 
throughout their tenure in the model to help them better understand the 
FFS beneficiaries that are receiving services from their providers and 
help them improve quality of care and conduct care coordination and 
other care redesign activities to improve patient outcomes or reduce 
health care for beneficiaries that could have initiated an episode in 
the model.
    Based on our experience with these efforts, as set forth later in 
this section, we propose to make certain beneficiary-identifiable 
claims data and regional aggregate data available to participants in 
CJR-X regarding Medicare FFS beneficiaries who may initiate an episode 
and be attributed to them in the model. However, we also expect that 
CJR-X participants are able to, or will work toward, independently 
identifying and producing their own data, through electronic health 
records, health information exchanges, or other means that they believe 
are necessary to best evaluate the health needs of their patients, 
improve health outcomes, and produce efficiencies in the provision and 
use of services.
(2) Beneficiary-Identifiable Claims Data
(a) Legal Authority To Share Beneficiary-Identifiable Data
    We believe that CJR-X participants may need access to certain 
Medicare beneficiary-identifiable data for the purposes of evaluating 
their performance, conducting quality assessment and improvement 
activities, conducting population-based activities relating to 
improving health or reducing health care costs, or conducting other 
health care operations listed in the first or second paragraph of the 
definition of ``health care operations'' under the HIPAA Privacy Rule, 
45 CFR 164.501. We recognize that there are issues and sensitivities 
surrounding the disclosure of beneficiary-identifiable health 
information, and that several laws place constraints on sharing 
individually identifiable health information. For example, section 1106 
of the Act generally bars the disclosure of information collected under 
the Act without consent unless a law (statute or regulation) permits 
the disclosure. Here, the HIPAA Privacy Rule would allow for the 
proposed disclosure of beneficiary-identifiable health information by 
CMS because it permits the use and disclosure of such data to carry out 
treatment, payment, and health care operations, as discussed under 45 
CFR 164.506. In this proposed rule, we propose to make CJR-X 
participants accountable for quality and cost outcomes for CJR-X 
beneficiaries during an anchor hospitalization or anchor procedure and 
during the 30-day post-discharge period. We believe that it is 
necessary for the purposes of this model to offer CJR-X participants 
the ability to request and receive summary or raw beneficiary-
identifiable claims data for a 3-year baseline period as well as on a 
monthly basis during the performance year to help CJR-X participants 
engage in care coordination and quality improvement activities for CJR-
X beneficiaries in an episode. For the 3-year baseline period, CJR-X 
participants would only receive beneficiary-identifiable claims data 
for beneficiaries that initiated an episode in their hospital or 
hospital outpatient department in the 3-year baseline period, and the 
beneficiary-identifiable claims data shared with the CJR-X participant 
would be limited to the items and services included in the episode. In 
other words, the CJR-X participant would not receive beneficiary-
identifiable claims data for beneficiaries that were admitted to their 
hospital or hospital outpatient department and did not initiate an 
episode in the baseline period. Nor would the CJR-X participant receive 
beneficiary-identifiable claims data, for beneficiaries who did 
initiate an episode in their hospital or hospital outpatient department 
during the baseline period, for items and services that are not 
included in an episode, such as a primary care visit five days before 
the episode or a hospital readmission one day after the episode ends. 
We propose applying a similar approach for the beneficiary-identifiable 
claims data sharing during the performance year. We believe that these 
data would constitute the minimum information necessary to enable the 
CJR-X participant to understand

[[Page 19722]]

spending patterns during the episode, appropriately coordinate care, 
and target care strategies toward individual beneficiaries furnished 
care by the CJR-X participant and other providers and suppliers.
    Under the HIPAA Privacy Rule, covered entities (means a health 
plan, a health care clearinghouse, and a health care provider who 
transmits any health information in electronic form in connection with 
a transaction covered in 45 CFR Subtitle A, Subchapter C) are barred 
from using or disclosing individually identifiable health information 
that is ``protected health information'' or PHI in a manner that is not 
permitted or required under the HIPAA Privacy Rule, without the 
individual's authorization. The Medicare FFS program, a ``health plan'' 
function of the Department, is subject to the HIPAA Privacy Rule 
limitations on the disclosure of PHI. Hospitals, which would be CJR-X 
participants, are also covered entities, provided they are ``health 
care providers'' as defined by 45 CFR 160.103, such as for claims 
transactions. Since CJR-X participants are hospitals who are covered 
entities and are the only entity able to request the beneficiary-
identifiable data and with whom CMS would share the beneficiary-
identifiable data, we believe that the proposed disclosure of the 
beneficiary claims data for an anchor hospitalization or an anchor 
procedure plus 30-day post-discharge for episodes included under the 
CJR-X model would be permitted by the HIPAA Privacy Rule under the 
provisions that permit disclosures of PHI for ``health care 
operations'' purposes. Under those provisions, a covered entity is 
permitted to disclose PHI to another covered entity for the recipient's 
health care operations purposes if both covered entities have or had a 
relationship with the subject of the PHI to be disclosed, the PHI 
pertains to that relationship, and the recipient will use the PHI for a 
``health care operations'' function that falls within the first two 
paragraphs of the definition of ``health care operations'' in the HIPAA 
Privacy Rule (45 CFR 164.506(c)(4)).
    The first paragraph of the definition of health care operations 
includes ``conducting quality assessment and improvement activities, 
including outcomes evaluation and development of clinical guidelines'' 
and ``population-based activities relating to improving health or 
reducing health costs, protocol development, case management and care 
coordination'' (45 CFR 164.501).
    Under our proposal, CJR-X participants would be using the data on 
their patients to evaluate the performance of the CJR-X participant and 
other providers and suppliers that furnished services to the patient, 
conduct quality assessment and improvement activities, and conduct 
population-based activities relating to improved health for their 
patients. When done by or on behalf of a covered entity, these are 
covered functions and activities that would qualify as ``health care 
operations'' under the first and second paragraphs of the definition of 
health care operations at 45 CFR 164.501. Hence, as previously 
discussed, we believe that this provision is extensive enough to cover 
the uses we would expect a CJR-X participant to make of the 
beneficiary-identifiable data and would be permissible under the HIPAA 
Privacy Rule. Moreover, our proposed disclosures would be made only to 
HIPAA covered entities, specifically hospitals that are CJR-X 
participants that have (or had) a relationship with the subject of the 
information, the information we would disclose would pertain to such 
relationship, and those disclosures would be for purposes listed in the 
first two paragraphs of the definition of ``health care operations.''
    When using or disclosing PHI, or when requesting this information 
from another covered entity, covered entities must make ``reasonable 
efforts to limit'' the information that is used, disclosed, or 
requested to a ``minimum necessary'' to accomplish the intended purpose 
of the use, disclosure, or request (45 CFR 164.502(b)). We believe that 
the provision of the proposed data elements, as described in section 
X.C.2.k.(2)(c). of this proposed rule, would constitute the minimum 
data necessary to accomplish the CJR-X's model goals of the CJR-X 
participant.
    The Privacy Act of 1974 also places limits on agency data 
disclosures. The Privacy Act applies when the federal government 
maintains a system of records by which information about individuals is 
retrieved by use of the individual's personal identifiers (names, 
Social Security numbers, or any other codes or identifiers that are 
assigned to the individual). The Privacy Act prohibits disclosure of 
information from a system of records to any third party without the 
prior written consent of the individual to whom the records apply (5 
U.S.C. 552a(b)).
    ``Routine uses'' are an exception to this general principle. A 
routine use is a disclosure outside of the agency that is compatible 
with the purpose for which the data was collected. Routine uses are 
established by means of a publication in the Federal Register about the 
applicable system of records describing to whom the disclosure will be 
made and the purpose for the disclosure. For the proposed CJR-X, the 
system of records would be covered in Master Demonstration, Evaluation, 
and Research Studies (DERS) for the Office of Research, Development and 
Information (ORDI) system of record (72 FR 19705). We believe that the 
proposed data disclosures are consistent with the purpose for which the 
data discussed in the proposed rule was collected and may be disclosed 
in accordance with the routine uses applicable to those records.
    We note that, as was the case with the CJR Model, in this proposed 
rule, we propose to disclose beneficiary-identifiable data to only the 
hospitals that are bearing risk for episodes and not with their 
collaborators. As stated in the 2015 CJR final rule (80 FR 73515), we 
believed that the hospitals that are specifically held financially 
responsible for an episode should make the determination as to which 
data are needed to manage care and care processes with their 
collaborators as well as which data they might want to re-disclose, if 
any, to their collaborators provided they are in compliance with the 
HIPAA Privacy Rule.
    We believe our data sharing proposals are permitted by and are 
consistent with the authorities and protections available under the 
aforementioned statutes and regulations. We seek comments on our 
proposals regarding the authority to share beneficiary-identifiable 
data with CJR-X participants.
(b) Summary and Raw Beneficiary-Identifiable Claims Data Reports
    Based on our experience with BPCI Advanced and CJR Model 
participants, we recognize that TEAM participants could vary with 
respect to the kinds of beneficiary-identifiable claims information 
that would best meet their needs. For example, while many CJR-X 
participants might have the ability to analyze raw claims data, other 
CJR-X participants could find it more useful to have a summary of these 
data. Given this, we propose to make beneficiary-identifiable claims 
data for episodes in CJR-X available through two formats, summary and 
raw, both for the baseline period and on an ongoing monthly basis 
during their participation in the model as we do for BPCI Advanced and 
the CJR Model (80 FR 73308). Summary beneficiary-identifiable claims 
data summarizes the claims data by combining and categorizing claims 
data to provide a broad view of the CJR-X participant's health care 
expenditures and utilization. For example, a CJR-X participant may use 
summary beneficiary-identifiable data to identify

[[Page 19723]]

total episode spending across all of a CJR-X participant's episodes in 
a given performance year. Raw beneficiary-identifiable claims data is 
unrefined and has not been grouped or combined and includes the 
specific claims fields, as described in the minimum necessary data 
section X.C.2.k.(2)(c). of this proposed rule, at the episode level. 
For example, a CJR-X participant may use raw beneficiary-identifiable 
data to look at a particular episode to identify the diagnosis code(s) 
that were associated with a hospital readmission for a CJR-X 
beneficiary.
    First, for CJR-X participants who wish to receive summary Medicare 
Parts A and B claims data, we propose offering CJR-X participants that 
enter into a CJR-X data sharing agreement with CMS, as specified in 
section X.C.2.k.(6). of this proposed rule, the option to submit a 
formal data request for summary beneficiary-identifiable claims data 
that have been aggregated to provide summary-level spending and 
utilization data on CJR-X beneficiaries who would be in an episode 
during the baseline period and performance years in accordance with 
applicable privacy and security laws and established privacy and 
security protections. Such summary beneficiary-identifiable claims data 
would provide tools to monitor, understand, and manage utilization and 
expenditure patterns as well as to develop, target, and implement 
quality improvement programs and initiatives. For example, if the data 
provided by CMS to a particular CJR-X participant reflects that, 
relative to their peers, a certain provider is associated with 
significantly higher rates of inpatient readmissions than the rates 
experienced by other beneficiaries with similar care needs, that may be 
evidence that the CJR-X participant could consider, among other things, 
the appropriateness of that provider, whether other alternatives might 
be more appropriate, and whether there exist certain care interventions 
that could be incorporated post- discharge to lower readmission rates.
    Secondly, for CJR-X participants who wish to receive raw Medicare 
Parts A and B claims data, we propose to offer CJR-X participants that 
enter into a CJR-X data sharing agreement with CMS the opportunity to 
submit a formal data request for raw beneficiary-identifiable claims 
data for CJR-X beneficiaries who would be in an episode during the 
baseline period and performance years in accordance with applicable 
privacy and security laws and established privacy and security 
protections. These raw beneficiary-identifiable claims data would be 
much more detailed compared to the summary beneficiary-identifiable 
claims data and include all beneficiary-identifiable claims for all 
episodes in CJR-X. In addition, they would include episode summaries, 
indicators for excluded episodes, diagnosis and procedure codes, and 
enrollment and dual eligibility information for beneficiaries that 
initiate episodes in CJR-X. Through analysis, these raw beneficiary-
identifiable claims data would provide CJR-X participants with 
information to improve their ability to coordinate and target care 
strategies as well as to monitor, understand, and manage utilization 
and expenditure patterns. Such data would also aid them in developing, 
targeting, and implementing quality improvement programs and 
initiatives.
    The summary and raw beneficiary-identifiable data would allow CJR-X 
participants to assess summary and raw data on their relevant CJR-X 
beneficiary population, giving them the flexibility to utilize the data 
based on their analytic capacity. Therefore, for both the baseline 
period and as frequently as a monthly basis during an CJR-X 
participant's performance year, we propose to provide CJR-X 
participants with an opportunity to request summary beneficiary-
identifiable claims data and raw beneficiary-identifiable claims data 
that would meet minimum necessary requirements in 45 CFR 164.502(b) and 
164.514(d) and include Medicare Parts A and B beneficiary-identifiable 
claims data for CJR-X beneficiaries in an episode during the 3-year 
baseline period and performance year. This means the summary and raw 
beneficiary-identifiable claims data would encompass the total 
expenditures and claims for the proposed episodes, including the anchor 
hospitalization or anchor procedure, and all non-excluded items and 
services in an episode covered under Medicare Parts A and B within the 
30 days after discharge, including hospital care, post- acute care, and 
physician services for the CJR-X participant's beneficiaries.
    We propose that if a CJR-X participant wishes to receive 
beneficiary-identifiable claims data, they must submit a formal request 
for data on an annual basis in a manner form and by a date specified by 
CMS, indicating if they want summary beneficiary-identifiable data, raw 
beneficiary-identifiable data, or both, and sign a CJR-X data sharing 
agreement. To comply with applicable laws and safeguards, we propose 
the CJR-X participant must attest that--
     The CJR-X participant is requesting claims data of CJR-X 
beneficiaries who would be in an episode during the baseline period or 
performance year as a HIPAA covered entity;
     The CJR-X participant's request reflects the minimum data 
necessary for the CJR-X participant to conduct health care operations 
work that falls within the first or second paragraph of the definition 
of health care operations at 45 CFR 164.501; and
     The CJR-X participant's use of claims data will be limited 
to developing processes and engaging in appropriate activities related 
to coordinating care and improving the quality and efficiency of care 
and conducting population-based activities relating to improving health 
or reducing health care costs that are applied uniformly to all CJR-X 
beneficiaries, in an episode during the baseline period or performance 
year, and that these data will not be used to reduce, limit or restrict 
care for specific Medicare beneficiaries.
    We propose that the summary and raw beneficiary-identifiable data 
would be packaged and sent to a data portal (to which the CJR-X 
participants must request and be granted access) in a ``flat'' or 
binary format for the CJR-X participant to retrieve. We also note that, 
for both the summary and raw beneficiary-identifiable claims data, we 
would exclude information that is subject to the regulations governing 
the confidentiality of substance use disorder patient records (42 CFR 
part 2) from the data shared with a CJR-X participant. We believe our 
proposal to make data available to CJR-X participants, through the most 
appropriate means, may be useful to CJR-X participants to determine 
appropriate ways to increase the coordination of care, improve quality, 
enhance efficiencies in the delivery system, and otherwise achieve the 
goals of the proposed model. CJR-X beneficiaries would be informed of 
CJR-X and the potential sharing of Medicare beneficiary-identifiable 
claims data through the beneficiary notification, as discussed in 
section X.C.2.c.(1). of this proposed rule. Further, CMS would make 
beneficiary-identifiable claims data available to a CJR-X participant 
for beneficiaries who may be included in episodes, in accordance with 
applicable privacy and security laws and only in response to the CJR-X 
participant's request for such data, through the use of an executed 
CJR-X data sharing agreement with CMS.
    We request comments on this proposal to share beneficiary-
identifiable claims data with CJR-X participants at Sec.  512.665(b).

[[Page 19724]]

(c) Minimum Necessary Data
    We propose CJR-X participants must limit their beneficiary-
identifiable data requests, for CJR-X beneficiaries who are in an 
episode during the baseline period or performance year, to the minimum 
necessary to accomplish a permitted use of the data. We propose the 
minimum necessary Parts A and B data elements may include but are not 
limited to the following data elements:
     Medicare beneficiary identifier (ID).
     Procedure code.
     Sex.
     Diagnosis code.
     Claim ID.
     The from and through dates of service.
     The provider or supplier ID.
     The claim payment type.
     Date of birth and death, if applicable.
     Tax identification number.
     National provider identifier.
    We seek comment on the minimum data necessary beneficiary-
identifiable information for CJR-X participants to request beneficiary-
identifiable information for purposes of conducting permissible health 
care operations purposes under this model at Sec.  512.665(c).
(3) Regional Aggregate Data
    As discussed in section X.C.2.f.(3). of this proposed rule, we 
propose to incorporate regional pricing data when establishing target 
prices for CJR-X participants, similar to the CJR Model's target prices 
that are constructed at the regional level. As indicated in the 2015 
CJR Final Rule (80 FR 73510), we finalized our proposal to share 
regional pricing data with original CJR participants because it was a 
factor affecting target prices. Given some of the similar features 
between the CJR Model and CJR-X proposed in this proposed rule, 
particularly our proposal to incorporate regional pricing data when 
establishing target prices under the model, we propose to provide 
regional aggregate expenditure data available for all Parts A and B 
claims associated with episodes in CJR-X for the U.S. Census Division 
in which the CJR-X participant is located, as we similarly provide to 
hospitals participating in the CJR Model. Specifically, we propose to 
provide CJR-X participants with regional aggregate data on the total 
expenditures during an anchor hospitalization or anchor procedure and 
the 90-day post-discharge period for all Medicare FFS beneficiaries who 
would have initiated an episode under our proposed episode definitions 
in section X.C.2.d. of this proposed rule during the baseline period 
and performance years. This data would be provided at the regional 
level; that is, we propose to share regional aggregate data with a CJR-
X participant for episodes initiated in the U.S. Census Division where 
the CJR-X participant is located. These regional aggregate data would 
be in a format similar to the proposed summary beneficiary-identifiable 
claims data and would provide summary information on the average 
episode spending for episodes in CJR-X in the U.S. Census Division in 
which the CJR-X participant is located. However, the regional aggregate 
data would not be beneficiary-identifiable and would be de-identified 
in accordance with HIPAA Privacy Rule, 45 CFR 164.514(b). Further, the 
regional aggregate data would also comply with CMS data sharing 
requirements, including the CMS cell suppression policy which 
stipulates that no cell (for example, admissions, discharges, patients, 
services, etc.) containing a value of 1 to 10 can be reported directly. 
Given the regional aggregate data is de-identified, we propose CJR-X 
participants would not have to submit a request to receive this data 
and the data would not be subject to the terms and conditions of the 
CJR-X data sharing agreement.
    We seek comments on our proposal at Sec.  512.665(d) to provide 
these data to CJR-X participants.
(4) Timing and Period of Baseline Period Data
    We recognize that providing the ability for CJR-X participants to 
request the summary and raw beneficiary-identifiable claims baseline 
data and receive regional aggregate baseline data would be important 
for CJR-X participants to be able to detect unnecessary episode 
spending, coordinate care, and identify areas for practice 
transformation, and that early provision of this data, specifically 
before the ``model start date,'' as defined in Sec.  512.605, could 
facilitate their efforts to do so. Also, as discussed in section 
X.C.2.f.(3)(a). of this proposed rule, target prices would be 
calculated using a CJR-X participant's historical episode spending 
during their baseline period. Further, we believe that CJR-X 
participants would view the episode payment model effort as one 
involving continuous improvement. As a result, changes initially 
contemplated by a CJR-X participant could be subsequently revised based 
on updated information and experiences.
    Therefore, as with the BPCI Advanced and CJR Models (80 FR 73511), 
we propose to make 3-years of baseline period data available to CJR-X 
participants, who enter into a CJR-X data sharing agreement with CMS, 
for beneficiaries who would have been included in an episode had the 
model been implemented during the baseline period, and intend to make 
these data available upon request prior to the start of each 
performance year and in accordance with applicable privacy and security 
laws and established privacy and security protections. We would provide 
the 3 years of baseline period data for the summary and raw 
beneficiary-identifiable data and for the regional aggregate data. We 
believe that 3 years of baseline period data is sufficient to support a 
CJR-X participant's ability to detect unnecessary episode spending, 
coordinate care, and identify areas for practice transformation. We 
believe that if a CJR-X participant has access to baseline period data 
for the 3-year period for each performance year used to set target 
prices, then it would be better able to assess its practice patterns, 
identify cost drivers, and ultimately redesign its care practices to 
improve efficiency and quality. We considered proposing to make 
available 4 years of baseline period data, or offering 1 year of 
baseline period data, but we believe offering 4 years of baseline 
period data would not be necessary since target prices in CJR-X are 
constructed from a 3-year baseline period and 1 year of data may not 
sufficiently help CJR-X participants identify areas to improve 
beneficiary health and care coordination or reducing health costs.
    Therefore, we propose that the 3-year period utilized for the 
baseline period match the baseline data used to create CJR-X 
participants target prices every performance year, and roll forward one 
year every performance year, as discussed in section X.C.2.f.(3)(a) of 
this proposed rule. Specifically, we propose that the baseline period 
data for the summary and raw beneficiary-identifiable data reports and 
regional aggregate data report would be shared annually at least 1 
month prior to the start of a performance year and available for 
episodes initiated in the baseline period, as discussed in section 
X.C.2.f.(3)(a). in this proposed rule.
    We request comments on these proposals at proposed Sec.  
512.665(b)(6)(i) and (d)(1)(i) to share beneficiary-identifiable data 
and regional aggregate data for a 3-year baseline period at least 1 
month prior to the start of a performance year.
(5) Timing and Period of Performance Year Data
    The availability of periodically updated raw and summary 
beneficiary-

[[Page 19725]]

identifiable claims data and regional aggregate data would assist CJR-X 
participants to identify areas where they might wish to change their 
care practice patterns, as well as monitor the effects of any such 
changes. With respect to these purposes, we have considered what would 
be the most appropriate period for making updated raw and summary 
beneficiary-identifiable claims data and regional aggregate data 
available to CJR-X participants, while complying with the HIPAA Privacy 
Rule's ``minimum necessary'' provisions, described in 45 CFR 164.502(b) 
and 164.514(d). We believe that monthly data updates would align with a 
90-day post-discharge episode window given the episode's duration and 
the need to share data in a timely manner and identify areas for care 
improvement. Accordingly, we are proposing to make updated raw and 
summary beneficiary-identifiable claims data and regional aggregate 
data available for a given performance year to CJR-X participants upon 
receipt of a request for such information and execution of a CJR-X data 
sharing agreement with CMS, that meets CMS's requirements to ensure the 
applicable HIPAA Privacy Rule conditions for disclosure have been met, 
as frequently as on a monthly basis during the performance year and 
continue sharing the claims data for up to 6 months beyond the end of 
that performance year to capture claims run out. We believe 6 months of 
claims run out is sufficient given that an internal review of Medicare 
claims data found that the majority of Medicare claims had been 
received, and were considered final, by 6 months after the date of 
service and is also consistent with how we are proposing claims run out 
for the reconciliation process, as described in section X.C.2.f.(5). of 
this proposed rule.\487\
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    \487\ Medicare Claims Maturity: CCW White Paper accessed at 
https://www2.ccwdata.org/web/guest/white-papers?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Dmedicare%2Bclaims%2Bmaturity on Jan, 26, 2024.
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    To accomplish this for the first performance year of CJR-X, we 
would propose to provide, upon request and execution of a CJR-X data 
sharing agreement with CMS, and in accordance with the HIPAA Privacy 
Rule, beneficiary-identifiable claims data and aggregate regional data 
from October 1, 2027 to September 30, 2028 on as frequently as a 
running monthly basis, as claims are available. We would continue 
sharing beneficiary-identifiable claims data and regional aggregate 
data for episodes in performance year 1 for an additional 6 months, so 
until March 31, 2029, to capture claims run out for items and services 
billed during this time period. These datasets would represent all 
potential episodes that were initiated in 2026 and capture sufficient 
amount of time, up to 6 months, for relevant claims to have been 
processed. We would limit the content of this data set to the minimum 
data necessary for the CJR-X participant to conduct quality assessment 
and improvement activities and effectively coordinate care of its 
patient population. This data sharing process would continue each 
performance year of CJR-X. We considered proposing extending this 
period to capture more than 30 days of data or updating on a quarterly 
frequency. However, we do not believe this would benefit the CJR-X 
participant since it may create challenges to timely identify potential 
CJR-X beneficiaries for care coordination efforts. We seek comment on 
whether we should consider extending the period to capture more than 30 
days of data or updating the data on a frequency other than as 
frequently as monthly.
    We seek comments on this proposal at Sec.  512.665(b)(6)(ii) and 
(d)(1)(ii) to make beneficiary-identifiable data and regional aggregate 
data available as frequently as a monthly basis and for up to 6 months 
after a performance year.
(6) CJR-X Data Sharing Agreement
    We propose that if a CJR-X participant wishes to retrieve the 
beneficiary-identifiable data, the CJR-X participant would be required 
to first complete, sign, and submit--and thereby agree to the terms 
of--a data sharing agreement with CMS, which we would call the CJR-X 
data sharing agreement. We propose to define the ``CJR-X data sharing 
agreement'' as an agreement between the CJR-X participant and CMS that 
includes the terms and conditions for any beneficiary-identifiable data 
being shared with the CJR-X participant under Sec.  512.665. Further, 
we propose to require CJR-X participants to comply with all applicable 
laws and the terms of the CJR-X data sharing agreement as a condition 
of retrieving the beneficiary-identifiable data. We also propose that 
the CJR-X data sharing agreement would include certain protections and 
limitations on the CJR-X participant's use and further disclosure of 
the beneficiary-identifiable data and would be provided in a form and 
manner specified by CMS. Additionally, we propose that a TEAM 
Participant that wishes to retrieve the beneficiary-identifiable data 
would be required to complete, sign, and submit a signed CJR-X data 
sharing agreement at least annually. We believe that it is important 
for the CJR-X Participant to complete and submit a signed CJR-X data 
sharing agreement at least annually so that CMS has up-to-date 
information that the CJR-X participant wishes to retrieve the 
beneficiary-identifiable data and information on the designated data 
custodian(s). As described in greater detail later in this section, we 
propose that a designated data custodian would be the individual(s) 
that a CJR-X participant would identify as responsible for ensuring 
compliance with all privacy and security requirements and for notifying 
CMS of any incidents relating to unauthorized disclosures of 
beneficiary-identifiable data.
    We believe it is important for the CJR-X participant to first 
complete and submit a signed CJR-X data sharing agreement before it 
retrieves any beneficiary-identifiable data to help protect the privacy 
and security of any beneficiary-identifiable data shared by CMS with 
the CJR-X participant. There are important sensitivities surrounding 
the sharing of this type of individually identifiable health 
information, and CMS must ensure to the best of its ability that any 
beneficiary-identifiable data that it shares with CJR-X participants 
would be further protected in an appropriate fashion.
    We considered an alternative proposal under which CJR-X 
participants would not need to complete and submit a signed CJR-X data 
sharing agreement, but we concluded that, if we proceeded with this 
option, we would not have adequate assurances that the CJR-X 
participants would appropriately protect the privacy and security of 
the beneficiary-identifiable data that we are proposing to share with 
them. We also considered an alternative proposal under which the CJR-X 
participant would need to complete and submit a signed TEAM data 
sharing agreement only once for the duration of the CJR-X. However, we 
concluded that this similarly would not give CMS adequate assurances 
that the CJR-X participant would protect the privacy and security of 
the beneficiary-identifiable data from CMS. We concluded that it is 
critical that we have up-to-date information and designated data 
custodians, and that requiring the CJR-X participant to submit an CJR-X 
data sharing agreement at least annually would represent the best means 
of achieving this goal.
    We solicit public comment on our proposal to define ``CJR-X data 
sharing agreement'' at Sec.  512.605. We also seek comment on our 
proposal to require, in

[[Page 19726]]

Sec.  512.665(e)(2), that the CJR-X participant agree to comply with 
all applicable laws and the terms of the CJR-X data sharing agreement 
as a condition of retrieving the beneficiary-identifiable data, and on 
our proposal in Sec.  512.665(e)(1) that the CJR-X participant would 
need to submit the signed CJR-X data sharing agreement at least 
annually if the CJR-X participant wishes to retrieve the beneficiary- 
identifiable data.
(a) Content of CJR-X Data Sharing Agreement
    We are proposing that, under the CJR-X data sharing agreement, CJR-
X participants would agree to certain terms, namely: (1) to comply with 
the requirements for use and disclosure of this beneficiary-
identifiable data that are imposed on covered entities by the HIPAA 
Privacy Rule and the requirements of the proposed CJR-X; (2) to comply 
with additional privacy, security, and breach notification requirements 
to be specified by CMS in the CJR-X data sharing agreement; (3) to 
contractually bind each downstream recipient of the beneficiary-
identifiable data that is a business associate of the CJR-X participant 
or performs a similar function for the CJR-X participant, to the same 
terms and conditions to which the CJR-X participant is itself bound in 
its data sharing agreement with CMS as a condition of the downstream 
recipient's receipt of the beneficiary-identifiable data retrieved by 
the CJR-X participant under the CJR-X; and (4) that if the CJR-X 
participant misuses or discloses the beneficiary-identifiable data in a 
manner that violates any applicable statutory or regulatory 
requirements or that is otherwise non-compliant with the provisions of 
the CJR-X data sharing agreement, the CJR-X participant would no longer 
be eligible to retrieve the beneficiary-identifiable data and may be 
subject to additional sanctions and penalties available under the law. 
We believe that these terms for sharing beneficiary-identifiable data 
with CJR-X participants are appropriate and important, as CMS must 
ensure to the best of its ability that any beneficiary- identifiable 
data that it shares with CJR-X participants would be further protected 
by the CJR-X participant, and any business associates of the CJR-X 
participant, in an appropriate fashion. We believe that these proposals 
would allow CMS to accomplish that.
    We seek public comment on the additional privacy, security, breach 
notification, and other requirements that we would include in the CJR-X 
data sharing agreement. CMS has these types of agreements in place as 
part of the governing documents of other models tested under section 
1115A of the Act and in the Medicare Shared Savings Program. In these 
agreements, CMS typically requires the identification of data 
custodian(s) and imposes certain requirements related to 
administrative, physical, and technical safeguards relating to data 
storage and transmission; limitations on further use and disclosure of 
the data; procedures for responding to data incidents and breaches; and 
data destruction and retention. These provisions would be imposed in 
addition to any restrictions required by law, such as those provided in 
the HIPAA Privacy, Security and Breach Notification Rules (45 CFR parts 
160 and 164). These provisions would not prohibit the CJR-X participant 
from making any disclosure of the data otherwise required by law.
    We also seek public comment on what disclosures of the beneficiary-
identifiable data might be appropriate to permit or prohibit under the 
CJR-X data sharing agreement. For example, we are considering 
prohibiting, in the CJR-X data sharing agreement, any further 
disclosure, not otherwise required by law, of the beneficiary-
identifiable data to anyone who is not a ``HIPAA covered entity or 
business associate'', as defined in 45 CFR 160.103, or to an individual 
practitioner in a treatment relationship with the CJR-X beneficiary, or 
that practitioner's business associates. Such a prohibition would be 
similar to that imposed by CMS in other models tested under section 
1115A of the Act in which CMS shares beneficiary-identifiable data with 
model participants.
    We are considering these possibilities because there exist 
important legal and policy limitations on the sharing of the 
beneficiary- identifiable data and CMS must carefully consider the ways 
in which and reasons for which we would provide access to this data for 
purposes of the CJR-X. We believe that some CJR-X participants may 
require the assistance of business associates, such as contractors, to 
perform data analytics or other functions using this beneficiary-
identifiable data to support the CJR-X participant's review of their 
care management and coordination, quality improvement activities, or 
clinical treatment of CJR-X beneficiaries. We also believe that this 
beneficiary-identifiable data may be helpful for any HIPAA covered 
entities who are in a treatment relationship with the CJR-X 
beneficiary.
    We seek public comment on how a CJR-X participant might need to, 
and want to, disclose the beneficiary-identifiable data to other 
individuals and entities to accomplish the goals of the CJR-X, in 
accordance with applicable law.
    Under our proposal, the CJR-X data sharing agreement would include 
other provisions, including requirements regarding data security, 
retention, destruction, and breach notification. For example, we are 
considering including, in the CJR-X data sharing agreement, a 
requirement that the CJR-X participant designate one or more data 
custodians who would be responsible for ensuring compliance with the 
privacy, security and breach notification requirements for the data set 
forth in the CJR-X data sharing agreement; various security 
requirements like those found in other models tested under section 
1115A of the Act, but no less restrictive than those provided in the 
relevant Privacy Act system of records notices; how and when 
beneficiary-identifiable data could be retained by the CJR-X-
participant or its downstream participants of the beneficiary 
identifiable data; procedures for notifying CMS of any breach or other 
incident relating to the unauthorized disclosure of beneficiary-
identifiable data; and provisions relating to destruction of the data. 
These are only examples and are not the only terms CMS would 
potentially include in the CJR-X data sharing agreement.
    We solicit public comment on this proposal that CMS, by adding 
Sec.  512.665(e)(1)(ii), would impose certain requirements in the CJR-X 
data sharing agreement related to privacy, security, data retention, 
breach notification, and data destruction.
    Finally, we proposes, at Sec.  512.665(e)(1)(iv), that the CJR-X 
data sharing agreement would include a term providing that if the CJR-X 
participant misuses or discloses the beneficiary-identifiable data in a 
manner that violates any applicable statutory or regulatory 
requirements or that is otherwise non-compliant with the provisions of 
the CJR-X data sharing agreement, the CJR-X participant would no longer 
be eligible to retrieve beneficiary-identifiable data under proposed 
Sec.  512.665(b) and may be subject to additional sanctions and 
penalties available under law. We also propose that if CMS determines 
that one or more grounds for remedial action specified in Sec.  
512.665(e)(iv) has taken place, CMS may discontinue the provision of 
data sharing and reports to the model participant. We propose that CMS 
may take remedial action if the model participant misuses or discloses 
the beneficiary-identifiable data in a manner that violates any 
applicable statutory or regulatory requirements or

[[Page 19727]]

that is otherwise non-compliant with the provisions of the applicable 
data sharing agreement.
    We solicit public comment on this proposal, to prohibit the CJR-X 
participant from obtaining beneficiary-identifiable data pertaining to 
the CJR-X if the CJR-X participant fails to comply with applicable laws 
and regulations, the terms of the CJR-X, or the CJR-X data sharing 
agreement.
l. Alternative Payment Model Options
(1) Background
    As specified in the Quality Payment Program regulations (42 CFR 
414.1415), in order to be considered an Advanced APM, an Alternative 
Payment Model (APM) must--
     Require use of Certified Electronic Health Record 
Technology (CEHRT);
     Be subject to payment based on quality measures; and
     Require entities to bear financial risk.
    We seek to align the design of CJR-X with the Advanced APM criteria 
in the Quality Payment Program and enable CMS to have the necessary 
information on eligible clinicians to make the requisite Qualifying APM 
Participant (QP) determinations. Eligible clinicians, as defined at 42 
CFR 414.1305, that are captured on a CMS-maintained list constituting 
an affiliated practitioner list, as defined at 42 CFR 414.1305, may be 
eligible to receive benefits for participating in an Advanced APM, 
including burden reduction and financial incentives. We propose that 
the CJR-X participant would be considered the APM entity, as defined at 
42 CFR 414.1305, and that the CJR-X participant's affiliated 
practitioners, as defined at 42 CFR 414.1305, may be assessed for QP 
determinations depending on whether the CEHRT criteria are met, as 
established at 42 CFR 414.1425(b)(2). Additionally, we seek to ensure 
the design of CJR-X meets the Merit-based Incentive Payment System 
(MIPS) APM criteria and that CMS has the necessary information on MIPS 
eligible clinicians, as defined in 42 CFR 414.1305, so that they may be 
eligible for certain scoring benefits under MIPS. We therefore propose 
to adopt two different APM options for CJR-X--an ``AAPM option'' would 
be defined as an option in which CJR-X participants would attest to 
meeting the CEHRT requirement and in which the CJR-X participant's 
eligible clinicians may be assessed for QP determinations (to the 
extent CJR-X is determined to be an Advanced APM), and a ``non-AAPM 
option'' would be defined as an option in which CJR-X participants 
would not meet CEHRT and in which the CJR-X participant's MIPS eligible 
clinicians may be assessed for reporting and scoring through the APM 
Performance Pathway (APP) (to the extent the CJR-X is determined to be 
a MIPS APM).
(2) APM Options
    As previously stated, an Advanced APM must require participants to 
use CEHRT (42 CFR 414.1415(a)), make payment based on quality measures 
(42 CFR 414.1415(b)) and meet financial risk standards (42 CFR 
414.1415(c)). We propose two APM options in CJR-X: a non-Advanced APM 
(non-AAPM) option and an Advanced APM (AAPM) option. The non-AAPM 
option would be for CJR-X participants that do not meet the CEHRT. 
However, these CJR-X participants may still be considered APM entities 
in a MIPS APM. The AAPM option would be for CJR-X participants that 
meet the CEHRT requirement. These CJR-X participants would be 
considered APM entities in an Advanced APM.
    We propose to require CJR-X participants who wish to participate in 
the AAPM option to attest to meeting the CEHRT use requirement that 
meets the CEHRT definition in our regulations at 42 CFR 414.1305 on an 
annual basis prior to the start of each performance year in a form and 
manner and by a date specified by CMS. We propose that the CJR-X 
participant would be required to retain and provide CMS access to the 
attestation upon request. We further propose that meeting and attesting 
to the CEHRT use criteria would be voluntary, and that CMS would assign 
CJR-X participants who choose not to do so to the non-AAPM option. 
Lastly, we propose to require CJR-X participants who wish to 
participate in the AAPM option to provide their CMS Electronic Health 
Record (EHR) Certification IDs on an annual basis prior to the end of 
each performance year in a form and manner and by a date specified by 
CMS.
    We believe that a CJR-X participant's decision to meet and attest 
to the CEHRT use criteria would not create significant additional 
administrative burden for the CJR-X participant. Moreover, the choice 
of whether to meet and attest to the CEHRT use criteria would not 
otherwise affect the CJR-X participant's requirements or opportunities 
under the model. However, a CJR-X participant's decision to attest to 
CEHRT use may affect the ability of its clinicians to qualify as a QP. 
In other words, if a CJR-X participant chose not to attest to CEHRT 
use, its clinicians would not be assessed for QPs status.
    We seek comment on our proposals for the CJR-X Advanced APM options 
and the associated requirements at Sec.  [thinsp]512.615. We also seek 
comment on our proposed definitions for the ``AAPM option'' and ``non-
AAPM option'' at Sec.  [thinsp]512.605.
(3) Financial Arrangements List and Clinician Engagement List
    We propose that each CJR-X participant would be required to submit 
information about the eligible clinicians or MIPS eligible clinicians 
who enter into financial arrangements with the CJR-X participant for 
purposes of supporting the CJRL-X participants' cost or quality goals 
as discussed in section X.C.2.i. of this proposed rule. This 
information would enable CMS to make determinations as to eligible 
clinicians who could be considered for QP determinations based on the 
services furnished under CJR-X (to the extent the model is determined 
to be an AAPM) and would be necessary for APP reporting and scoring for 
MIPS eligible clinicians (to the extent the model is determined to be a 
MIPS APM), We are proposing that for purposes of CJR-X, the eligible 
clinicians or MIPS eligible clinicians could be: (1) CJR-X 
collaborators, as described in section X.C.2.i.(3). of this proposed 
rule, engaged in sharing arrangements with a CJR-X participant; (2) 
PGP, NPPGP, or TGP members who are collaboration agents engaged in 
distribution arrangements with a PGP, NPPGP, or TGP that is a CJR-X 
collaborator, as described in section X.C.3.i.(5) of this proposed 
rule; or (3) PGP, NPPGP, or TGP members who are downstream 
collaboration agents engaged in downstream distribution arrangements 
with a PGP, NPPGP, or TGP that is also an ACO participant in an ACO 
that is a CJR-X collaborator, as described in section X.C.3.i.(6). of 
this proposed rule. The list of physicians and nonphysician 
practitioners in these three groups that we are proposing to require 
CJR-X participants to submit to CMS would satisfy the criteria to be 
considered an Affiliated Practitioner List, as defined in 42 
CFR[thinsp]414.1305. We propose to use the list submitted by CJR-X 
participants to make determinations regarding which physicians and 
nonphysician practitioners should receive QP determinations or be 
reported for the APP based on the services they furnish under CJR-X.
    We propose for the reasons detailed previously that each CJR-X 
participant with eligible clinicians or MIPS eligible clinicians must 
submit to CMS a

[[Page 19728]]

financial arrangements list in a form and manner and by the date 
specified by CMS on a quarterly basis during each performance year or 
attest that there are no individuals to report on the financial 
arrangements list. We believe submission of the financial arrangements 
list on a quarterly basis would align with the Quality Payment 
Program's QP determination dates, as described in 42 
CFR[thinsp]414.1425. We are proposing to define the ``financial 
arrangements list'' at Sec.  512.605 as the list of eligible clinicians 
or MIPS eligible clinicians that have a financial arrangement with the 
CJR-X participant, CJR-X collaborator, collaboration agent, or 
downstream collaboration agent. We propose the CJR-X participant would 
be required to retain and provide CMS access to the financial 
arrangements list upon request. The proposed list must include the 
following information:
     For each CJR-X collaborator who is a physician, 
nonphysician practitioner, or therapist during the performance year--
    ++ The name, tax identification number (TIN), and national provider 
identifier (NPI) of the CJR-X collaborator; and
    ++ The start date and, if applicable, end date, for the sharing 
arrangement between the CJR-X participant and the CJR-X collaborator.
     For each collaboration agent who is a physician, 
nonphysician practitioner, or therapist during the performance year--
    ++ The name, TIN, and NPI of the collaboration agent and the name 
and TIN of the CJR-X collaborator with which the collaboration agent 
has entered into a distribution arrangement; and
    ++ The start date and, if applicable, end date, for the 
distribution arrangement between the CJR-X collaborator and the 
collaboration agent.
     For each downstream collaboration agent who is a physician 
or nonphysician practitioner, or therapist during the performance 
year--
    ++ The name, TIN, and NPI of the downstream collaboration agent and 
the name and TIN of the collaboration agent; and
    ++ The start date and, if applicable, end date, for the downstream 
distribution arrangement between the collaboration agent and the 
downstream collaboration agent.
     If there are no individuals that meet the reporting 
criteria listed previously for CJR-X collaborators, collaboration 
agents, or downstream collaboration agents, then the CJR-X participant 
must attest on a quarterly basis in a form and manner and by a date 
specified by CMS that there are no individuals to report on the 
financial arrangements list. While the proposed submission of the 
financial arrangements list may create some additional administrative 
burdens for certain CJR-X participants, we expect that CJR-X 
Participants could modify their contractual relationships with their 
CJR-X collaborators and, correspondingly, require those CJR-X 
collaborators to include similar requirements in their contracts with 
collaboration agents and in the contracts of collaboration agents with 
downstream collaboration agents.
    We also recognize there may be physicians and nonphysician 
practitioners who would not be listed on the financial arrangements 
list because they have not entered into a financial arrangement as a 
CJR-X collaborator, collaboration agent, or downstream collaboration 
agent, but who may nevertheless participate in CJR activities, as 
defined at proposed Sec.  512.605, and may be eligible for QP 
determinations or eligible for APP reporting because they are 
affiliated with and support the APM Entity. We propose that, in order 
to capture these physicians and nonphysician practitioners who are not 
listed on the CJR-X participant's financial arrangements list for QP 
determinations or APP reporting, CJR-X participants must also submit to 
CMS a clinician engagement list in a form and manner and by a date 
specified by CMS on a quarterly basis every performance year. We 
propose to use the clinician engagement list for assessing QP 
determinations and for APP reporting. The submission of the clinician 
engagement lists may create some additional administrative burdens for 
CJR-X participants, but we expect the effort to be worthwhile since 
some of these QP determinations may result in eligible clinicians 
receiving burden reduction benefits and financial incentives, and some 
MIPS eligible clinicians may receive MIPS APM scoring benefits.
    We propose to define the ``clinician engagement list'' at Sec.  
512.605 as the list of eligible clinicians or MIPS eligible clinicians 
that participate in CJR-X activities, have a contractual relationship 
with the CJR-X participant, and who are not listed on the financial 
arrangements list. We propose that the CJR-X participant must submit 
the list to CMS on a quarterly basis during each performance year in a 
form and manner and by a date specified by CMS or attest that there are 
no individuals to report on the clinician engagement list. We believe 
submission of the clinician engagement list on a quarterly basis would 
align with the Quality Payment Program's QP determination dates, as 
described in 42 CFR[thinsp]414.1425. We propose the CJR-X participant 
would be required to retain and provide CMS access to the clinician 
engagement list upon request. We propose that the clinician engagement 
list must include the following information:
     For each physician, nonphysician practitioner, or 
therapist who is not listed on the CJR-X participant's financial 
arrangements list during the performance year, but who does have a 
contractual relationship with the CJR-X participant and participates in 
CJR-X activities during the performance year--
    ++ The name, TIN, and NPI of the physician, nonphysician 
practitioner, or therapist; and
    ++ The start date and, if applicable, end date, for the contractual 
relationship between the physician, nonphysician practitioner, or 
therapist and the CJR-X participant.
     We are proposing that if there are no individuals that 
meet the requirements to be reported on the clinician engagement list, 
then the CJR-X participant must attest on a quarterly basis in a form 
and manner and by a date specified by CMS that there are no individuals 
to report on the clinician engagement list.
    We seek comments on the proposal to require CJR-X participants to 
submit a financial arrangements list and clinician engagement list on a 
quarterly basis or attest that there are no individuals to report. We 
are especially interested in comments about approaches to information 
submission, including the content of the lists, and periodicity and 
method of submission to CMS that would minimize the reporting burden on 
CJR-X participants while providing CMS with sufficient information 
about eligible clinicians to facilitate QP determinations and APP 
reporting to the extent that CJR-X is considered to be an Advanced APM 
and a MIPS APM.
m. Standard Provisions
    CJR-X meets the criteria for application of the Standard Provisions 
for Mandatory Innovation Center Models (42 CFR part 512, subpart A). 
Unless otherwise specified, all CJR-X participants and CJR-X 
beneficiaries would be subject to the provisions at Sec. Sec.  
[thinsp]512.100 through 512.190, which address the following areas:
     Beneficiary Protections.
     Cooperation in Model Evaluation and Monitoring.
     Audits and Record Retention.
     Rights in Data and Intellectual Property.
     Monitoring and Compliance.

[[Page 19729]]

     Remedial Action.
     Innovation Center Model Termination by CMS.
     Limitations on Review.
     Miscellaneous Provisions on Bankruptcy and Other 
Notifications.
     Reconsideration Review Process.
    We recognize the standard provisions were not intended to encompass 
all the terms and conditions that would apply to each Innovation Center 
model, because each model embodies unique design features and 
implementation plans that may require additional, more tailored 
provisions, including with respect to payment methodology, care 
delivery and quality measurement, that would continue to be included in 
each model's governing documentation. Thus, we seek public comment on 
whether CJR-X should set forth model-specific provisions related to any 
of the provisions identified previously.
n. Termination of CJR-X
    The general provisions relating to termination of the model by CMS 
in Sec.  512.165 would apply to CJR-X. Consistent with termination 
provisions of other Innovation Center models, in the event we terminate 
CJR-X, we would provide written notice to CJR-X participants specifying 
the grounds for termination and the effective date of such termination 
or ending. As provided by section 1115A(d)(2) of the Act, termination 
of the model under section 1115A(b)(3)(B) of the Act would not be 
subject to administrative or judicial review.

D. Organ Acquisition and Reasonable Cost Payment Policies, and 
Reimbursement Appeals for Independent Organ Procurement Organizations 
and Histocompatibility Laboratories

1. Reconciliation of Organ Acquisition Costs for Non-Renal Organs for 
IOPOs and HCLs
a. Background
(1) Overview
    Organ procurement organizations (OPOs) \488\ perform or coordinate 
the procurement, preservation, and transportation of organs from 
deceased donors, and maintain a system for locating prospective 
recipients for organ transplantation. To participate in the Medicare 
program, OPOs must be members of the Organ Procurement and 
Transplantation Network (OPTN) and must have agreements with hospitals 
or critical access hospitals in their service areas, to identify 
potential organ donors. OPOs provide both administrative and medical 
services that include, but are not limited to, arranging for tissue 
typing of donated organs; removal of the deceased donor organs (where 
the physicians are employed by the OPO or are under contract or 
agreement with the OPO); and perfusion, preservation, and 
transportation of the procured organs. OPOs may be independent or 
hospital-based. Hospital-based OPOs (HOPOs) are considered departments 
of their hospital and report costs for services on their transplant 
hospital's (TH's) Medicare cost report (MCR). Independent OPOs (IOPOs) 
file a separate cost report (see 42 CFR 413.420(c)(i)).
---------------------------------------------------------------------------

    \488\ We refer to organ procurement organizations generally as 
``OPOs'' throughout, unless differentiation of IOPO is required for 
cost reporting purposes, for OPOs that file a cost report on the 
CMS-216-94 (OMB No. 0938-0102).
---------------------------------------------------------------------------

    Histocompatibility laboratories (HCLs) are specialized clinical 
laboratories that perform tissue typing and compatibility testing on 
potential organ donors and recipients. These labs primarily conduct HLA 
(Human Leukocyte Antigen) typing--identifying tissue markers for organ 
and tissue transplantation. They perform crossmatching tests to 
determine compatibility between organ donors and recipients, antibody 
screening to detect antibodies that could cause transplant rejection, 
and disease association testing--HLA typing for certain autoimmune and 
genetic conditions. HCLs play a critical role in organ transplantation 
programs, ensuring that donated organs are matched appropriately with 
recipients to minimize rejection risk. HCLs may also be independent or 
hospital-based. Hospital-based HCLs are considered departments of their 
hospital and report costs for services on their TH's MCR. Independent 
HCLs, hereinafter referred to as HCLs, file a separate cost report (see 
42 CFR 413.420(c)(i)).
    Under section 1861(v)(1)(A), reasonable cost is the necessary cost 
actually incurred in the efficient delivery of needed health care 
services to Medicare beneficiaries. Section 413.1(a)(2)(v) identifies 
OPOs and HCLs as provider types to which part 413 of the regulations 
apply, making them expressly subject to Medicare's reasonable cost 
principles, including 42 CFR 413.9 regarding costs related to patient 
care. Currently, the Medicare program reimburses the reasonable costs 
related to patient care of allowable kidney acquisition services 
furnished by IOPOs and HCLs, provided that they have an agreement with 
the Secretary in accordance with 42 CFR 413.420. Kidney acquisition 
costs are not paid directly by Medicare to an IOPO or HCL. IOPOs and 
HCLs are reimbursed for their kidney acquisition services by the THs, 
subject to later adjustment by Medicare (see 42 CFR 413.420). Medicare 
currently authorizes reimbursement to designated IOPOs for kidney 
acquisition costs, under reasonable cost principles \489\ in accordance 
with section 1861(v) of the Act, based on the IOPO's ratio of Medicare 
usable kidneys to total usable kidneys (see section 1881(b)(2)(A) of 
the Act). Additionally, Medicare currently authorizes reimbursement to 
HCLs for the reasonable costs of pre-transplant kidney 
histocompatibility testing, based on the HCL's ratio of pre-transplant 
kidney histocompatibility charges to the total of HCL charges for all 
tests the lab performs, in accordance with section 1861(v) of the Act 
and 42 CFR 413.420. In accordance with 42 CFR 413.24(f), Medicare 
requires THs, IOPOs, and HCLs to complete an MCR \490\ on an annual 
basis.
---------------------------------------------------------------------------

    \489\ Id. Section 1138(b)(1)(F) of the Act; 42 CFR 
413.1(a)(1)(ii)(A); 413.420(a).
    \490\ THs complete the hospital cost report, form CMS-2552-10 
(OMB No. 0938-0050) and IOPOs and HCLs complete cost report form 
CMS-216-94 (OMB No. 0938-0102).
---------------------------------------------------------------------------

    In the FY 2022 IPPS/LTCH PPS final rule with comment period, 
published in the Federal Register (FR) (86 FR 73468 through 73505) 
December 27, 2021, we clarified and codified certain Medicare organ 
acquisition payment policies in new subpart L of 42 CFR part 413. In 
the CY 2023 OPPS proposed rule (87 FR 44769 through 44773), published 
July 26, 2022, we included a request for information (RFI) and 
solicited comments that would help to inform potential changes to 
Medicare's organ acquisition payment policies. In the CY 2023 OPPS 
final rule (87 FR 72150 through 72159), published November 23, 2022, we 
clarified and codified certain other Medicare organ acquisition payment 
policies.
(2) Reimbursement of Organ Acquisition Costs
    Medicare's current organ acquisition policy is modeled after the 
kidney acquisition policy that was implemented for kidney transplants 
following the Social Security Amendments of 1972 (Public Law 92-603) 
that extended Medicare coverage to individuals with end stage renal 
disease (ESRD) who required dialysis or transplantation. In July 1973 
and July 1974, CMS (then the Bureau of Health Insurance \491\ (BHI)) 
issued Intermediary

[[Page 19730]]

Letters (ILs) which set forth procedures and policies for Medicare 
reimbursement for kidney transplants.\492\ The IL 73-25 (July 1, 1973) 
set forth policies for the reimbursement of kidney transplants and 
dialysis, including policies for hospital reimbursement for the 
acquisition of a kidney from deceased and living donors for transplant 
into a Medicare beneficiary. The IL 74-23 (July 1974) addressed 
questions related to proper treatment for Medicare reimbursement 
purposes of various costs associated with kidney acquisition and 
transplant and kidney dialysis services. The IL 74-23 noted that the 
hospital is expected to acquire the kidney at a reasonably cost-related 
charge, which the hospital would pay to the organ procurement agency 
(now called organ procurement organization) and include as a cost to 
the TH.\493\
---------------------------------------------------------------------------

    \491\ To implement the Medicare statute, the Social Security 
Administration was reorganized and the Bureau of Health Insurance 
(BHI) was established on July 30, 1965. The BHI then became 
responsible for the development of health insurance policy before 
the creation of the Health Care Financing Administration (HCFA), 
later renamed the Centers for Medicare & Medicaid (CMS). CMS 
Milestones 1937-2015 (July 2015).
    \492\ https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/fy-2022-ipps-proposed-rule-home-page.
    \493\ https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/fy-2022-ipps-proposed-rule-home-page; 
see page 10 of IL 74-23.
---------------------------------------------------------------------------

    The Medicare reimbursement policies for IOPO and HCL kidney 
acquisition costs were implemented in a final rule (43 FR 58370 through 
58372), published December 14, 1978. In that final rule, we noted that 
HOPOs or hospital-based HCLs included their services in their hospital 
cost report, and they were reimbursed based upon reasonable cost 
principles. However, THs had no authority or basis for determining the 
reasonableness of charges from IOPOs and independent HCLs, and the 
charges billed by IOPOs and these HCLs were not reviewed by the 
Medicare contractor (hereafter, ``the contractor'') to determine 
reasonableness. As such, the potential existed for Medicare to pay more 
than reasonable costs for organ acquisition services. In June 1978, 
Congress passed Public Law 95-292 (the End Stage Renal Disease (ESRD) 
Program Amendment), which amended section 1881(b)(2)(A) of the Act, and 
required that reimbursement made under title XVIII for the services of 
OPOs and HCLs in procuring and furnishing organs for transplantation 
must not exceed the cost actually incurred by that OPO or HCL, and must 
be determined in accordance with section 1861(v) of the Act. Section 
1861(v) of the Act requires that payments be based upon reasonable 
costs.\494\
---------------------------------------------------------------------------

    \494\ See sections 1882(b)(2)(A) and 1861(v) of the Act.
---------------------------------------------------------------------------

    We note that Public Law 95-292 refers to the costs of procuring 
organs, thus including both kidneys and non-renal organs when requiring 
payments to be made at reasonable cost for the actual costs incurred. 
The legislative history of Public Law 95-292 indicates that Congress 
intended for the Secretary to apply already established principles of 
cost reimbursement, obtain periodic cost reports, and provide for an 
intermediary hearing for an IOPO or HCL which disagrees with a cost 
determination.\495\ We believe that the legislative history also 
indicates that the cost of IOPO or HCL services would continue to be 
paid by the TH, but that the Secretary would be authorized to institute 
a system whereby IOPOs and HCLs could be reimbursed directly if such a 
system seems appropriate.\496\
---------------------------------------------------------------------------

    \495\ 43 FR 58370 and 58371. See also S. Rep. No. 95-714, 95th 
Cong., 2d Sess. 12-13 (1978); H. Rep. No. 95-549, 95th Cong., 1st 
Sess., 14 (1977).
    \496\ 43 FR 58371.
---------------------------------------------------------------------------

    We implemented section 1881(b)(2)(A) of the Act and this 
legislative intent by requiring that the Medicare program reimburse 
only the reasonable cost of IOPO and HCL services for kidney 
acquisitions.\497\ We also required that the contractor establish 
IOPOs' Standard Acquisition Charge (SAC) and HCL testing rates for 
kidney acquisitions. In addition, we required the contractor to review 
IOPOs' and HCLs' kidney acquisition costs and reconcile and settle 
those costs through the MCR. These measures were implemented to ensure 
that kidney acquisition costs would be paid on a reasonable cost basis, 
in accordance with the statute at sections 1881(b)(2)(A) and 1861(v) of 
the Act. We note that Medicare currently reconciles the organ 
acquisition costs incurred by HOPOs for all organs they procure, renal 
and non-renal, as part of the hospital cost report reconciliation.\498\ 
Therefore, our discussion of reasonable cost for organ acquisition and 
cost reconciliation is focused on IOPOs and HCLs, but not HOPOs.
---------------------------------------------------------------------------

    \497\ Ibid. Note that in 1978, the only organs Medicare covered 
for transplant were kidneys. As such, we did not address non-renal 
organ acquisition costs.
    \498\ PRM-2, chapter 40, section 4028.
---------------------------------------------------------------------------

    Over the years, through various rulings and national coverage 
determinations (NCDs), Medicare added coverage for transplantation of 
non-renal organs such as heart, liver, lungs, and pancreas. Non-renal 
organs were covered for transplantation through a CMS Ruling (for heart 
transplants) and through NCDs (for other non-renal organs),\499\ and 
payment policies were subsequently implemented through notice-and-
comment rulemaking.\500\ While we modeled our reimbursement for non-
renal organ acquisition costs based on existing kidney acquisition 
policies, we did not address reasonable cost reimbursement and 
reconciliation of the non-renal organs to IOPOs and HCLs. Non-renal 
organ acquisition charges are billed to THs, and THs have no basis for 
determining the reasonableness of the charges from the IOPOs and HCLs, 
as previously noted, creating opportunity for Medicare to pay more than 
reasonable costs for these services (43 FR 58370).
---------------------------------------------------------------------------

    \499\ See CMS Ruling 87-1, April 1987; National Coverage 
Determinations Manual, IOM 100-03, chapter 1, Part 4, section 260 
(available at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/ncd103c1_Part4.pdf).
    \500\ 52 FR 33034, September 1, 1987 (heart); 55 FR 8545, March 
8, 1990, and 56 FR 15013, April 12, 1991 (liver); 60 FR 6537, 
February 2, 1995 (lung); 64 FR 41497, July 30, 1999 (pancreas); 66 
FR 39828, August 1, 2001 (intestine, with reasonable cost coverage 
of acquisition costs beginning October 1, 2001).''
---------------------------------------------------------------------------

    Currently IOPOs determine their charges for non-renal organ 
acquisition costs and those amounts are billed to and paid by THs. THs 
subsequently include those charges in their organ acquisition costs 
without the ability for determining reasonableness. We are concerned 
about reports from our Medicare contractor and from the OIG \501\ that 
IOPOs inflate their non-renal charges and exceed their reasonable costs 
for procurement services. IOPO cost report data for annual cost 
reporting periods ending in 2024 \502\ showed that non-renal organ 
revenue exceeded non-renal organ acquisition costs by $100 million. 
OPOs are required to operate as non-profit organizations \503\ under 
Federal regulations and to only recover their reasonable costs 
associated with organ procurement activities. The fundamental principle 
is that human organs are donated gifts, not commodities for sale. While 
OPOs can recover their reasonable and necessary

[[Page 19731]]

operational costs, they cannot profit from the organs themselves.\504\
---------------------------------------------------------------------------

    \501\ https://oig.hhs.gov/documents/audit/9634/A-09-21-03020-Complete%20Report.pdf, page 14.
    \502\ 42 CFR 413.20(b) requires that cost reporting periods are 
based on the provider's accounting year. In this analysis, 77 
percent of IOPOs have a January 1-December 31 accounting year; 11 
percent have a July 1-June 30 accounting year; 9 percent have an 
October 1 to September 30 accounting year; and the remaining 3 
percent have a June 1-May 31 accounting year.
    \503\ 42 U.S.C. 273(b)(1)(A).
    \504\ Pub. Law 98-507, National Organ Transplant Act, Section 
301.
---------------------------------------------------------------------------

    In accordance with our current requirements at Sec.  413.404(c)(1), 
for each non-renal organ type, an IOPO is supposed to establish its 
organ-specific non-renal acquisition charges by estimating the 
reasonable and necessary organ acquisition costs it expects to incur, 
divided by the projected number of organs it expects to procure, in its 
cost reporting period. The existing cost report data enables the MAC to 
determine if those acquisition charges the IOPO establishes are higher 
than what the acquisition charges should have been based on costs 
actually incurred. When an IOPO establishes a non-renal acquisition 
charge that is higher than its reasonable costs actually incurred, and 
the IOPO bills that inflated charge to a TH (or other OPO), that 
inflated charge is reported by the TH (or other OPO) as an organ 
acquisition cost on its cost report, Medicare then shares in those 
inflated costs. To correct this situation and ensure IOPOs and HCLs are 
held to reasonable costs, similar to HOPOs and hospital-based HCLs, we 
are proposing to reconcile IOPO and HCL costs for non-renal organs 
similar to how we reconcile IOPO and HCL kidney costs. We are proposing 
to require that IOPO and HCL non-renal organ acquisition costs be 
reviewed and analyzed by the Medicare contractor to ensure those costs 
are reasonable, necessary, related to patient care, and reconciled to 
payments made by or payable by THs and other OPOs. Without 
reconciliation, reasonable costs cannot be determined for non-renal 
organs leading to inflated organ acquisition costs to the THs and 
inflated costs throughout the transplant ecosystem.
b. Proposal To Reconcile Non-Renal Organ Acquisition Costs for IOPOs 
and HCLs
    Section 413.420(a)(1) explains that covered services furnished by 
IOPOs and HCLs in connection with kidney acquisition and 
transplantation are reimbursed under the principles for determining 
reasonable cost. As noted previously, section 1881(b)(2)(A) of the Act 
was amended in 1978 to require that reimbursement for the services of 
OPOs and HCLs in procuring and furnishing organs for transplantation 
must not exceed the cost actually incurred by that OPO or HCL. We also 
noted that HOPOs and hospital-based HCLs are reimbursed under 
reasonable cost principles for their services through the hospital cost 
report. Lastly, we noted that over the years, through various rulings 
and NCDs, Medicare added coverage for transplantation of non-renal 
organs such as heart, liver, lungs, and pancreas and payment policies 
were subsequently implemented through notice-and-comment rulemaking. 
While we modeled our reimbursement for non-renal organ acquisition 
costs based on existing kidney acquisition policies, we did not address 
reasonable cost reimbursement and reconciliation of the non-renal 
organs for IOPOs and HCLs.
    In this proposed rule, we are proposing to hold IOPOs and HCLs to 
reasonable cost reimbursement for organ acquisition and transplantation 
services in accordance with section 1861(v) of the Act. We are 
proposing to revise the title of Sec.  413.420 to change ``kidney'' to 
``organ'' and to define the acronym IOPOs after independent organ 
procurement organizations and the acronym HCLs after histocompatibility 
laboratories. Throughout Sec.  413.420, we also propose to use the 
acronym HCL and its permutations in every title, paragraph, or 
subparagraph where a histocompatibility laboratory or laboratory, and 
their various permutations, are mentioned. This would revise the 
regulation text at Sec.  413.420(a)(1), (a)(2), (c) paragraph heading, 
(c)(1), (c)(1)(ii), (c)(1)(iv), (c)(2), (d)(1) through (d)(4), (e)(1), 
(e)(1)(i), (e)(2), (e)(2)(ii), and (g).
    In addition, we are proposing to revise 42 CFR 413.420(a)(1) and to 
add paragraphs (a)(1)(i) and (ii). Specifically, we are proposing to 
revise Sec.  413.420(a)(1) to specify that covered services furnished 
by IOPOs and HCLs in connection with organ acquisition and 
transplantation are reimbursed under the principles for determining 
reasonable cost as specified in paragraphs (a)(1)(i) and (ii). We are 
also proposing to add Sec.  413.420(a)(1)(i) to specify that kidney 
acquisition and transplantation services furnished by IOPOs and HCLs 
are reimbursed under the principles for determining reasonable cost. 
For non-renal organs, we are proposing to add Sec.  413.420(a)(1)(ii) 
to specify that for non-renal organ acquisition and transplantation 
services furnished for cost reporting periods beginning on or after 
October 1, 2027,\505\ IOPOs and HCLs are reimbursed under the 
principles for determining reasonable cost. This includes a proposed 
delay in implementation which would allow us time to update the IOPO 
and HCL cost reporting form CMS-216-94, OMB control number 0938-0102. 
The delay would also allow IOPOs and HCLs time to prepare to implement 
the changes from the new policy.
---------------------------------------------------------------------------

    \505\ We realize reconciliation for non-renal organs will 
require changes to the MCR form CMS-216-94, as well as procedural 
changes for IOPOs, HCLs and the Medicare contractor. Therefore, we 
are proposing a one-year delay.
---------------------------------------------------------------------------

    We are proposing to revise Sec.  413.420(a)(2) to include OPOs as 
payors of IOPOs and HCLs and to specify that services furnished by 
IOPOs and HCLs that have an agreement with the Secretary, in accordance 
with Sec.  413.420(c), are paid directly by the TH or OPO using a 
kidney SAC (for an IOPO) or contractor-established rates (for an HCL). 
Under this proposal, we would also specify that the reasonable costs of 
services furnished by IOPOs or HCLs are reimbursed in accordance with 
the principles contained in Sec. Sec.  413.60 and 413.64.
    Section 413.420(c), (which concerns agreements with IOPOs and HCLs, 
currently specifies that any IOPO or HCL that wishes to have the cost 
of its pre-transplant services reimbursed under the Medicare program 
must file an agreement with CMS under which the IOPO or HCL agrees to 
the following:
     To file a cost report in accordance with Sec.  413.24(f) 
within 5 months following the close of the period covered by the 
report.
     To permit CMS to designate a contractor to determine the 
interim reimbursement rate, payable by the THs for services provided by 
the IOPO or HCL, and to determine Medicare's reasonable cost based upon 
the cost report filed by the IOPO or HCL.
     To provide such budget or cost projection information as 
may be required to establish an initial interim reimbursement rate.
     To pay to CMS amounts that have been paid by CMS to THs 
and that are determined to be in excess of the reasonable cost of the 
services provided by the IOPO or HCL.
     Not to charge any individual for items or services for 
which that individual is entitled to have payment made under section 
1881 of the Act.
    Because of the proposed change to the title of Sec.  413.420, 
paragraph (c) would apply to both kidney and non-renal organs. We 
propose to revise Sec.  413.420(c)(1)(ii) to include OPOs as entities 
that pay IOPOs and HCLs. We also propose to revise Sec.  
413.420(c)(1)(iv) to specify that the IOPO or HCL agrees to pay to CMS 
amounts that have been received or are receivable by IOPOs or HCLs from 
THs and OPOs, and that are in excess of the reasonable costs of the 
services provided by the IOPO or HCL. This rephrasing to use ``have 
been received or are receivable'' reflects the

[[Page 19732]]

accrual basis of accounting required at Sec.  413.24(a) and reflects 
that the payments are made to IOPOs and HCLs by THs and OPOs.
    Section 413.420(d)(1) currently specifies that THs with approved 
kidney transplant programs pay the IOPO or HCL for their pre-
transplantation services on the basis of interim rates established by 
the contractor for that IOPO or HCL. The authority to allow the 
contractor to establish the interim rate is described in Sec.  
413.420(c)(ii). The interim rate currently described in Sec.  
413.420(d)(2) is a kidney SAC or contractor established rates, based on 
costs associated with procuring a kidney for transplantation, incurred 
by an IOPO or HCL respectively, during its previous fiscal year. If 
there is not adequate cost data to determine the initial interim rate, 
the contractor determines it according to the IOPO's or HCL's estimate 
of its projected costs for the fiscal year. Section 413.420(d)(3) goes 
on to specify that payments made by THs on the basis of interim rates 
are reconciled directly with the IOPO or HCL after the close of its 
fiscal year, in accordance with Sec.  413.420(e). Lastly, Sec.  
413.420(d)(4) currently specifies that information on the interim rate 
for all IOPOs and HCLs must be disseminated to all THs and contractors.
    In accordance with Sec.  413.420(c)(ii), and to ensure that non-
renal SACs and non-renal testing rates are an accurate estimate of 
actual costs, and to increase transparency around non-renal SACs and 
non-renal testing rates, we further propose to require the contractor 
to establish (and adjust if necessary) non-renal SACs. This proposed 
change also requires conforming changes to Sec.  413.420(d)(1). As 
noted previously, Sec.  413.420(d)(1) specifies that THs with approved 
kidney transplant programs pay the IOPO or HCL for their pre-
transplantation services on the basis of an interim rate established by 
the contractor for that IOPO or HCL. However, we propose to revise 
Sec.  413.420(d)(1) to specify that THs with approved transplant 
programs and OPOs pay the IOPO or HCL for their pre-transplantation 
services based on interim rates established by the contractor for that 
IOPO or HCL as described under proposed paragraphs (d)(1)(i) and 
(d)(1)(ii). OPOs are also entities that pay IOPOs and HCLs for their 
pre-transplant services using the interim rates.
    We propose to add Sec.  413.420(d)(1)(i) to specify that THs with 
approved kidney transplant programs and OPOs pay the IOPO or HCL for 
their kidney pre-transplantation services, based on interim rates 
established by the contractor for that IOPO or HCL. In addition, we 
propose to add Sec.  413.420(d)(1)(ii) to specify that THs with 
approved non-renal transplant programs and OPOs pay the IOPO or HCL for 
their non-renal organ pre-transplantation services furnished for cost 
reporting periods beginning on or after October 1, 2027, based on 
interim rates established by the contractor for that IOPO or HCL. The 
establishment of these interim rates is the first step in preparing for 
the reconciliation for non-renal organ acquisition costs.
    Section 413.420(d)(2) currently provides that the interim rate 
established by the contractor for an IOPO is a kidney SAC, and the 
interim rates established for an HCL are contractor established rates, 
based on costs associated with procuring a kidney for transplantation, 
and incurred by an IOPO or HCL during its previous fiscal year. If 
there is not adequate cost data to determine the initial interim rate, 
the contractor determines it according to the IOPO's or HCL's estimate 
of its projected costs for the fiscal year. We propose that the 
contractor follow the same procedures for establishing, adjusting, and 
publishing non-renal SACs that are used for establishing, adjusting, 
and publishing kidney SACs. To implement this proposed change, we are 
proposing to revise Sec.  413.420(d)(2) and to add paragraphs (d)(2)(i) 
and (ii).
    We are proposing to revise Sec.  413.420(d)(2) to specify that 
interim rates are contractor established rates, based on costs 
associated with procuring an organ for transplantation, incurred by an 
IOPO or HCL during its previous fiscal year as described under proposed 
Sec.  413.420(d)(2)(i) and (ii). We are also proposing to move language 
specific to kidney from the existing Sec.  413.420(d)(2) to proposed 
Sec.  413.420(d)(2)(i) and to specify that the interim rates for 
kidneys are a contractor established kidney SAC or contractor 
established rates, associated with procuring kidneys for 
transplantation, incurred by an IOPO or HCL, respectively, during its 
previous fiscal year. Under our proposal, if there is not adequate cost 
data to determine the initial interim rate, the contractor would 
determine it according to the IOPO's or HCL's estimate of its projected 
costs for the fiscal year.
    Rates for non-renal organs are currently established by the IOPOs 
and HCLs in accordance with Sec.  413.404(c)(1) and billed to THs or 
other OPOs. THs and OPOs pay the rates established by these entities; 
however, there is no ability for the THs or other OPOs to determine the 
reasonableness of these rates. We propose that the contractor 
establish, adjust (if necessary), and publish the non-renal organ 
interim rates for IOPOs and HCLs. Our proposal would ensure compliance 
with reasonable cost principles, result in lower costs throughout the 
transplant ecosystem, enhance payment accuracy, provide financial 
protection to OPOs and HCLs for their reasonable costs, increase 
transparency surrounding costs, and provide robust oversight in 
response to Congressional and OIG concerns. Therefore, we are proposing 
to add Sec.  413.420(d)(2)(ii) to specify that for services furnished 
for cost reporting periods beginning on or after October 1, 2027, the 
interim rates for non-renal organs are contractor established non-renal 
organ-specific SACs or contractor established rates, based on costs 
associated with procuring each specific type of non-renal organ for 
transplantation, incurred by an IOPO or HCL, respectively, during its 
previous fiscal year. Under our proposal, if there is not adequate cost 
data to determine the initial interim rates, the contractor would 
determine them according to the IOPO's or HCL's estimate of its 
projected costs for the fiscal year.
    Section 413.420(d)(3) currently specifies that payments made by THs 
based on interim rates are reconciled directly with the IOPO or HCL 
after the close of its fiscal year, in accordance with Sec.  
413.420(e). We are proposing to revise Sec.  413.420(d)(3) to specify 
that payments or amounts payable from THs and OPOs based on interim 
rates as proposed in Sec.  413.420(d)(2)(i), are reconciled directly 
with the IOPO or HCL after the close of its fiscal year in accordance 
with Sec.  413.420(e). Additionally under Sec.  413.420(d)(3), we are 
proposing to specify that for cost reporting periods beginning on or 
after October 1, 2027, payments or amounts payable from THs and OPOs 
based on interim rates as proposed in Sec.  413.420(d)(2)(ii), are 
reconciled directly with the IOPO or HCL after the close of its fiscal 
year in accordance with Sec.  413.420(e).
    We propose to revise Sec.  413.420(d)(4) to change ``interim rate'' 
to ``interim rates'' and to specify that when a contractor establishes 
interim rates for IOPOs and HCLs, it must disseminate those interim 
rates to all THs, OPOs, and contractors. Our proposed language adds 
OPOs to the list of entities that would receive the interim rate 
information since OPOs also pay IOPOs for organs.
    We did not propose changes to Sec.  413.420(e)(1) except to use the 
acronym HCLs instead of ``histocompatibility laboratories'' because the 
existing language specifies

[[Page 19733]]

cost reporting requirements that are unchanged, and which apply to 
IOPOs and HCLs currently and would continue to apply once our proposed 
changes would be effective.
    We did not propose to revise Sec.  413.420(e)(2) except to use the 
acronym HCL instead of ``histocompatibility laboratory'' as this 
paragraph applies to the current policy. We propose to revise Sec.  
413.420(e)(2)(i) to add the word ``kidney'' before ``interim rate'' to 
be clearer that this regulation applies to the existing policy. We also 
propose to revise the sentence to reflect the accrual basis of 
accounting required at Sec.  413.24(a) by specifying that a retroactive 
adjustment of the amounts received or receivable by the IOPO or HCL 
under the kidney interim rate is made in accordance with Sec.  
413.64(f).
    We propose to revise Sec.  413.420(e)(2)(ii) to add the word 
``kidney'' before ``interim reimbursement rate'' to be clearer that 
this regulation applies to the existing policy. We also propose to 
revise the sentence to reflect the accrual basis of accounting required 
at Sec.  413.24(a), and to include OPOs as entities that pay IOPOs and 
HCLs. Therefore, we propose to specify that if the determination of 
reasonable cost reveals an overpayment or underpayment resulting from 
the kidney interim reimbursement rates received or receivable by the 
IOPO or HCL from THs and OPOs, a lump sum adjustment is made directly 
between the contractor and the IOPO or HCL.
    We propose to add Sec.  413.420(e)(3) to specify that for cost 
reporting periods beginning on or after October 1, 2027, a cost report 
submitted by an IOPO or HCL is reviewed by the contractor and new 
interim reimbursement rates for non-renal organ acquisition costs for 
the subsequent fiscal year are established by the contractor based upon 
this review. This proposed language is similar to the existing language 
at Sec.  413.420(e)(2) except it includes the effective date of the 
proposed new policy and refers to non-renal organ acquisition costs 
rather than kidney acquisition costs.
    We propose to add Sec.  413.420(e)(3)(i) to specify that a 
retroactive adjustment of the amounts received or receivable by the 
IOPO or HCL under the non-renal organ-specific interim rates is made in 
accordance with Sec.  413.64(f). This proposed language is similar to 
the existing language at Sec.  413.420(e)(2)(i) except it refers to the 
``non-renal organ-specific interim rates'' rather than the ``interim 
rate'' to reflect our proposed policy and also refers to amounts 
``received or receivable'' to reflect the accrual basis of accounting 
required at Sec.  413.24(a).
    We propose to add Sec.  413.420(e)(3)(ii) to state that if the 
determination of reasonable cost reveals an overpayment or underpayment 
resulting from the non-renal organ-specific interim reimbursement rates 
received or receivable by the IOPO or HCL from THs and OPOs, a lump sum 
adjustment is made directly between the contractor and the IOPO or HCL. 
This proposed language refers to non-renal organ-specific interim 
reimbursement rates rather than kidney interim reimbursement rates to 
reflect the proposed policy. It also indicates that payments are 
received or receivable by IOPOs or HCLs from THs and OPOs to reflect 
our reconciliation process, which is in accordance with the accrual 
basis of accounting required at Sec.  413.24(a), and it identifies both 
THs and OPOs as the entities paying IOPOs and HCLs.
    We are also proposing changes to Sec.  413.404 to conform to the 
changes proposed to Sec.  413.420(d), which require the contractor to 
establish the non-renal organ-specific interim rates, which are the 
same as the non-renal organ-specific SACs, following the same 
procedures used for establishing kidney SACs. We also propose that only 
the contractor adjust the non-renal SACs if necessary, and that the 
contractor disseminate the interim rates to all THs, OPOs, and 
contractors.
    As noted previously, we are proposing a 1-year delay in 
implementing our proposed changes. Therefore, we need to indicate when 
these regulations would be effective. As such, we are proposing to 
change the title of Sec.  413.404(c) to specify that it is for cost 
reporting periods beginning before October 1, 2027. This proposed 
change would clarify for readers that all the existing regulatory text 
under Sec.  413.404(c) is effective for cost reporting periods 
beginning before October 1, 2027. We also propose to add new Sec.  
413.404(d) with a title that specifies that it is for Independent OPO 
organ SACs, for cost reporting periods beginning on or after October 1, 
2027, and which would incorporate our proposed changes. This new 
paragraph (d) is for all organs, renal and non-renal.
    We propose to add new Sec.  413.404(d)(1), to state that for each 
organ type, the contractor establishes the organ-specific SAC based on 
an estimate of, initial year projected or subsequent years' actual, 
reasonable and necessary costs that the IOPO expects to incur to 
procure deceased donor organs during the IOPO's cost reporting period, 
divided by the initial year projected or subsequent years' actual, 
number of usable deceased donor organs the IOPO expects to procure. 
This is modeled after the existing kidney SAC regulations at Sec.  
413.404(c)(2)(i), except we propose to add ``For each organ type,'' at 
the start of the paragraph, and we replaced kidney SAC with organ-
specific SAC and replaced deceased donor kidneys with deceased donor 
organs.
    We also propose to add Sec.  413.404(d)(1)(i) to specify how the 
non-renal and kidney SACs would be calculated in their initial year, by 
modelling after the existing regulation text at Sec.  
413.404(c)(2)(ii). The proposed text added at new Sec.  
413.404(d)(1)(i) would specify that for each organ type, the contractor 
develops the IOPO's initial organ-specific SAC based on the IOPO's 
budget information.
    We also propose to add Sec.  413.404(d)(1)(ii) to specify how the 
non-renal and kidney SACs would be calculated in subsequent years, by 
modelling after the existing regulation text at Sec.  
413.404(c)(2)(iii). The proposed Sec.  413.404(d)(1)(ii) would state 
that for each organ type, the contractor computes the organ-specific 
SAC for subsequent years using the IOPO's costs related to organ 
acquisition that were incurred in the prior cost reporting period and 
dividing those costs by the number of usable deceased donor organs 
procured during that cost reporting period.
    We propose to add Sec.  413.404(d)(1)(iii), to state that each 
organ-specific SAC amount is the organ-specific interim payment the TH 
or other OPO pays to the IOPO, as set forth in Sec.  413.420(d)(2)(i) 
and (ii). This language would make clear that the organ-specific SAC is 
the same as the organ-specific interim payment.
    We also propose to add Sec.  413.404(d)(1)(iv) to provide a listing 
of allowable organ acquisition costs for the contractor to use when 
establishing IOPO organ-specific SACs. In the FY 2022 IPPS/LTCH PPS 
final rule with comment period, we wrote that an IOPO establishes its 
non-renal SACs based on its costs of procuring organs, similar to 
procedures followed by transplant hospitals (86 FR 73478). However, the 
listing of organ acquisition costs IOPOs should use when developing 
their deceased donor SACs was omitted when we codified the regulations 
related to IOPO SACs in the FY 2022 IPPS/LTCH PPS final rule with 
comment period (86 FR 73478 through 73480). Therefore, we are proposing 
to use the same listing given in Sec.  413.404(b)(3)(ii)(C) for 
transplant hospital deceased donor SACs, except to exclude registry 
fees, which are costs incurred by THs not OPOs. We are proposing to add 
Sec.  413.404(d)(1)(iv) to specify that costs

[[Page 19734]]

that may be used to develop the IOPO deceased donor SACs include, but 
are not limited to the following:
     Costs of organs acquired from other THs or OPOs.
     Costs of transportation as specified in Sec.  
413.402(b)(8).
     Surgeons' fees for excising deceased donor organs (limited 
to $1,250 for kidneys).
     Costs of tissue typing services, including those furnished 
by independent laboratories.
     Organ preservation and perfusion costs.
     General routine and special care service costs (for 
example, intensive care unit or critical care unit services related to 
the donor).
     Operating room and other inpatient ancillary service 
costs.
    We propose to add Sec.  413.404(d)(1)(v) to require that only the 
contractor may adjust the organ SACs. This is a proposed change from 
the existing policy, where the IOPO currently can adjust its non-renal 
SACs as needed and use that adjusted SAC without contractor approval; 
we also included the word ``only'' to make it clear that only the 
contractor may adjust organ SACs. We also propose to state that IOPOs 
may request that the contractor make an adjustment in accordance with 
Sec.  413.64(e), or the contractor may initiate an adjustment, in 
accordance with Sec.  413.64(d)(2) or Sec.  413.64(e) as applicable.
    While we modelled our proposed regulation text after the existing 
regulations for IOPO kidney SACs, we did not propose to add a 
subparagraph (vi), similar to the existing regulation at Sec.  
413.404(c)(2)(vi), which currently states that the IOPO cannot use or 
change its kidney SAC without the contractor's approval. That language 
is not necessary because proposed subparagraph (v) already makes it 
clear that only the contractor can adjust the organ SACs, and any SAC 
the contractor establishes would already be contractor approved.
    Finally, we are proposing to add Sec.  413.404(d)(2) to state that 
when an IOPO obtains an organ from another IOPO, the receiving IOPO is 
responsible for paying the procuring IOPO's SAC. The receiving IOPO 
uses its SAC for each organ type, and not the procuring IOPO's SAC, 
when billing the TH receiving the organ. This is the same as the 
existing requirement at Sec.  413.404(c)(3), and we are continuing this 
policy without change.
    To reconcile Medicare's share of non-renal organ acquisition costs, 
the contractor would review the MCR to determine if the costs are 
reasonable. This would entail the contractor's review of all IOPO and 
HCL organ acquisition costs that IOPOs and HCLs report annually on 
their MCRs and would ensure that IOPOs' and HCLs' organ acquisition 
costs are allowable and are reasonable and necessary, in accordance 
with section 1861(v) of the Act, the regulations, and Provider 
Reimbursement Manual (PRM), CMS Pub. 15-1 (herein referred to as PRM-
1).\506\
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    \506\ CMS Pub. 15-1 can be found at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Paper-Based-Manuals-Items/CMS021929).
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    In determining Medicare's share of non-renal organ acquisition 
costs, we propose that IOPOs and HCLs would follow the same procedures 
used for kidney reconciliation, which assumes that all usable organs or 
tests for usable organs intended for transplant are for Medicare 
beneficiaries, except for usable organs, or tests for usable organs, 
sent to military hospitals, U.S. Department of Veterans Affairs 
hospitals, or foreign countries. We believe that even with this 
limitation, our proposal would rein in excess costs; provide more 
robust oversight of IOPO and HCL costs; increase payment accuracy, in 
accordance with reasonable cost principles; and be responsive to 
Congressional and OIG concerns. Should this proposal be finalized, we 
would also update the IOPO and HCL cost report form CMS-216-94 to 
enable reconciliation of costs and revenues for each organ type.
c. Discussion of OPO Comments in Response to the July 2022 RFI on Non-
renal Organ Acquisition Cost Reconciliation
    In the CY 2023 OPPS/ASC proposed rule (87 FR 44769 through 44773), 
we issued an RFI (hereafter referred to as the ``July 2022 RFI'') and 
inquired about reconciling non-renal organ acquisition costs, mirroring 
our current approach for determining Medicare's reimbursement of IOPOs' 
kidney acquisition costs. We received several comments related to non-
renal organ reconciliation and have carefully reviewed each one.
(1) Supportive Comments
    We received a few comments to the July 2022 RFI from a TH, a 
patient advocacy group, and a provider of high-cost perfusion services 
supporting Medicare's non-renal SAC reconciliation. A commenter fully 
supported Medicare's non-renal reconciliation and wrote that the data 
show that many OPOs are failing in their organ recovery efforts; this 
commenter wrote that the current reimbursement policies are 
insufficient to incentivize productive resource allocation. Several 
commenters supported additional oversight of IOPO non-renal organ 
acquisition costs, saying it would strengthen fiscal integrity. One 
commenter noted that the distinction between how we account for renal 
versus non-renal organ acquisition costs creates powerful incentives 
for cost shifting to kidney acquisition cost centers on the MCR. We 
agree with these commenters and thank them for their support.
(2) Effects on Organ Procurement
    Other comments we received in response to the July 2022 RFI were 
from OPOs, OPO industry groups, or OPO consultants that expressed 
opposition to Medicare's reconciling non-renal organ acquisition costs. 
These commenters believed that reconciling non-renal organ acquisition 
costs would undercut their ability to procure marginal organs, leading 
to fewer organs and therefore fewer transplants. Specifically, some OPO 
commenters wrote that the costs of procuring, or attempting to procure, 
marginal organs that are subsequently found not suitable for transplant 
would create losses, as there would be no revenue from those organs. As 
such, these commenters wrote that they may have to scale back efforts 
to procure marginal organs. However, these commenters seemed to 
misunderstand Medicare's organ acquisition payment policy, which allows 
reasonable costs of procuring or attempting to procure an organ 
intended for transplant, even if it is subsequently found not suitable 
for transplant (see our regulations at Sec.  413.412(a)(2) and (d)(2)). 
Medicare's reconciliation of organ acquisition costs for renal and non-
renal organs would make IOPOs whole when total organ acquisition costs 
exceed total revenue, but this currently only occurs for kidneys.
    In contrast to these OPO commenters, multiple other OPO commenters 
who also opposed Medicare's reconciling non-renal organ acquisition 
costs (because they were concerned about potential financial swings and 
the need to have large cash reserves) wrote that their procurement of 
organs would not be affected by such a policy, as they try to procure 
every organ, every time. Furthermore, several commenters stated that 
OPOs are incentivized to procure as many organs as possible through 
their organ performance metrics, which affect their tier rating. A 
perfusion provider commented that reconciling non-renal organs would 
increase organ procurement by removing the financial

[[Page 19735]]

risk if an organ is procured but subsequently not transplanted. We 
agree and further assert that Medicare's reconciliation of non-renal 
organs could encourage the pursuit of marginal organs by protecting 
OPOs from financial losses on marginal non-renal organs that are later 
found unsuitable for transplant, thus reinforcing our goal to support 
organ procurement and organ transplantation.
(3) Costs for Organ Perfusion
    Several commenters were concerned about situations where OPOs 
expend resources procuring organs that undergo costly interventions 
(for example, perfusion) but are later declined by THs and determined 
to be unsuitable for transplantation. One commenter wrote that if 
Medicare reconciles non-renal organ acquisition costs for IOPOs, those 
costly interventions would be considered unallowable, and the OPO would 
bear the cost. We disagree as our regulations at Sec.  413.402(b)(5) 
allow perfusion costs; as noted previously, costs incurred for organs 
intended for transplant are allowable even if the organ is subsequently 
not transplanted (see Sec. Sec.  413.412(a)(2) and 413.412(d)(2)). 
Therefore, if an IOPO authorized the perfusion of a non-renal organ 
intended for transplant that was subsequently not transplanted, those 
costs would be allowable (if a transplant hospital authorized the 
perfusion, the perfusion costs would belong to that transplant hospital 
and should be directly billed to that hospital). If Medicare reconciled 
IOPOs' costs for procuring all organs, it could reimburse more since it 
would cover acquisition costs for all organ types, not just kidneys as 
under the current policy.
(4) ``Losses'' Due to Nonallowable Costs
    Several commenters wrote that they have ``losses'' when procuring 
kidneys, because in reconciling, the contractor finds some costs that 
OPOs report on their MCRs to be unallowable. While OPOs can recover 
their allowable and reasonable operational costs, we cannot reimburse 
costs that are statutorily or regulatorily prohibited, or specified in 
the PRM-1 as non-allowable or unreasonable. In sections X.D.2. and 
X.D.3. of the preamble of this proposed rule, we are clarifying 
existing policy and proposing to codify certain longstanding reasonable 
cost policies, as well as revising certain other Medicare reasonable 
cost reimbursement policies, to assist all providers, including OPOs, 
in understanding what is not allowable under Medicare's reasonable cost 
principles.
    Some commenters wrote that they make up for these monetary 
``losses'' they experience when procuring kidneys through the revenue 
they receive for procuring non-renal organs. A few OPOs and industry 
groups acknowledged that their non-renal organ SACs result in 
``excess'' revenue which they are using to fund non-allowable or 
unreasonable costs. That excess revenue is a result of inflated non-
renal SACs, which are billed to transplant hospitals or other OPOs, 
inflating costs throughout the transplant ecosystem. Medicare ends up 
reimbursing its share of those inflated costs when it reimburses the 
TH, which violates our reasonable cost principles. We are committed to 
carefully and responsibly stewarding the tax dollars in the Medicare 
Trust Fund, and we believe that Medicare's reconciliation of OPOs' non-
renal organ acquisition costs would result in Medicare more accurately 
reimbursing organ acquisition costs.
(5) Burden
    IOPOs indicated in comments submitted in response to the July 2022 
RFI that they had concerns about the burden for IOPOs if Medicare 
reconciled IOPOs' costs for non-renal organs. We do not believe 
Medicare's reconciliation of IOPOs' costs for non-renal organs would 
impose additional data collection burden to IOPOs, as they already 
collect the data needed for reconciliation. However, we recognize there 
may be additional reporting burden to enable the contractor to 
reconcile non-renal organ acquisition costs.
    A few OPOs also commented that there would be additional burden on 
the contractor if reconciliation of non-renal organs were to become 
policy. We do not agree that there would be additional burden on the 
contractor. Burden implies a cost that is not reimbursed. Our 
contractor would have increased administrative costs if we were to 
finalize our proposals that the contractor establish, adjust if 
necessary, and publish non-renal SACs and HCL testing rates, and 
reconcile IOPO and HCL non-renal organ acquisition costs. However, 
those administrative costs would be included in their contract. These 
increased administrative costs would be offset by the estimated savings 
of $100 million beginning in FY 2028, the first year that the policies 
would be effective, if the proposal is finalized. See section I.G.13. 
of Appendix A of this proposed rule for a discussion of the impacts 
including burden effects of our proposals.
(6) Financial Concerns
    A few commenters to the July 2022 RFI wrote that if non-renal organ 
acquisition costs are reconciled, they would have to build large 
financial reserves in case they may have to repay Medicare a share of 
those excess funds. We believe that if IOPOs' SACs more accurately 
estimate actual, reasonable costs, then reconciliation would not result 
in large payments back to Medicare, therefore limiting the need for 
large financial reserves. We also note that SACs can be adjusted during 
the year if IOPOs believe they are too high or too low. This can help 
IOPOs avoid owing large sums to Medicare after the year-end 
reconciliation takes place in cases where the SAC is overestimating 
costs. If an IOPO's SACs were underestimated, and costs are exceeding 
revenue, the contractor can also provide a lump sum adjustment during 
the accounting period; currently this only occurs with the kidney SAC 
(see 42 CFR 413.420(e)(2)(ii)) but our proposal would also allow it for 
non-renal organ SACs. Any lump sum adjustment would be accounted for 
when making a retroactive adjustment at cost report settlement.
    Other commenters wrote that Medicare's reconciliation of non-renal 
organs would have a detrimental effect on the financial viability of 
IOPOs and cited section 371(b) of the Public Health Service Act (PHSA), 
which requires OPOs to have accounting and other fiscal procedures (as 
specified by the Secretary) necessary to assure the fiscal stability of 
the organization. These IOPOs were concerned about losing ``excess'' 
revenue. However, we believe that reconciliation is an accounting 
procedure that helps to ensure the financial integrity and stability of 
the IOPO or HCL and would be in accord with the requirements of section 
371(b) of the PHSA by providing fiscal stability to the OPO. The 
reconciliation process for all non-renal organs would also entail the 
contractor's disseminating the non-renal SACs for each IOPO to THs, 
OPOs, and other contractors, thereby increasing transparency of organ 
procurement costs within the transplant community.
    Commenters cited high-cost perfusion and transportation expenses 
that can make accurately estimating a non-renal SAC more difficult, 
leaving them vulnerable to financial losses. We conducted an analysis 
of 2024 IOPO MCR data and found that 20 percent of IOPOs had non-renal 
organ acquisition costs that exceeded their non-renal revenue; these 
IOPOs would have been made whole by Medicare had

[[Page 19736]]

reconciliation for non-renal organ acquisition costs been Medicare's 
policy at that time. We believe that reconciliation would provide a 
measure of financial security to IOPOs, because it would protect them 
from losses if their non-renal SACs underestimate non-renal organ 
acquisition costs. Furthermore, we believe that if Medicare were to 
reconcile OPOs' costs for non-renal organs, the Medicare Trust Fund's 
tax dollars would be protected from inappropriate spending on 
unreasonable or non-allowable costs.
    We appreciate the input we received from July 2022 RFI commenters. 
For the reasons given in this section, we do not find the interested 
parties' concerns against reconciling IOPOs' non-renal organ 
acquisition costs to be compelling. We believe that reconciling IOPOs' 
non-renal organ acquisition costs would ensure that Medicare is paying 
organ acquisition costs on a reasonable cost basis, without hindering 
organ procurement. We also believe there is a need for the contractor 
to provide more robust oversight of IOPOs' non-renal organ acquisition 
costs and non-renal SACs to ensure that reasonable cost principles are 
followed, to be responsive to OIG and Congressional concerns, to 
protect the transplant ecosystem, and to protect the Medicare Trust 
Fund.
d. Concerns Related to HCLs
    Like IOPOs, HCLs are compensated on a reasonable cost basis, and 
currently Medicare only reconciles their pre-transplant kidney 
histocompatibility testing costs. Based on our review of HCL MCR data, 
we have concerns that some HCLs may be over-allocating overhead costs 
to kidney acquisition cost centers, which increases Medicare's 
reimbursement. Additionally, a 2018 OIG report identified questionable 
accounting procedures at a large HCL. This HCL made numerous errors in 
reporting cost report data, such as reporting some non-reimbursable 
costs as reimbursable and including costs that were incurred outside of 
the cost reporting timeframe.\507\ A recent internal review of 2022 and 
2023 MCR data for HCLs revealed missing data and a lack of transparency 
in reporting costs. For example, 29 percent of HCLs did not complete 
worksheet A-1 (``Administrative and General (A&G) Expenses'') of the 
HCL cost report for their fiscal year ending in 2023; 36 percent had 
significant unexplained costs reported and labeled as ``Other'' or 
``Miscellaneous'' on their worksheet A-3 (``Tissue Typing Laboratory 
Costs''). Of those providers with significant unexplained costs 
reported, 30 percent had unexplained amounts that ranged from 19 
percent to 33 percent of their total worksheet A-3 costs. Because we 
pay HCLs based on their reasonable costs, this lack of transparency is 
concerning and raises many questions about Medicare's payment accuracy 
on a reasonable cost basis.
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    \507\ https://oig.hhs.gov/reports/all/2018/national-institute-of-transplantation-an-independent-histocompatibility-laboratory-did-not-fully-comply-with-medicares-cost-reporting-requirements/.
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    In summary, in this proposed rule, we are proposing to reconcile 
IOPOs' and HCLs' organ acquisition costs for non-renal organs, 
following the same process we currently use to reconcile kidney 
acquisition costs, and to require the contractor to establish, adjust, 
if necessary, and disseminate the non-renal interim rates, using the 
same process followed for kidney interim rates. We are proposing a 1-
year delay to provide time for us to update the IOPO and HCL cost 
report, and to provide time for IOPOs and HCLs to prepare for increased 
reporting of non-renal costs and revenue on their MCRs and greater 
contractor oversight of their non-renal SACs and HCL testing rates, 
with an effective date for cost reporting periods beginning on or after 
October 1, 2027. We believe these proposals, if finalized, will protect 
the Medicare Trust fund, reduce inappropriate spending, increase 
compliance with our reasonable cost principles, and protect IOPOs and 
HCLs from certain financial losses while continuing to support the 
transplant ecosystem.
2. Reasonable Cost Payment Policies
a. Background
    Medicare is often required, under section 1814(b) of the Act (for 
services covered under Part A) and under section 1833(a)(2) of the Act 
(for services covered under Part B), to pay for services furnished by 
providers on the basis of reasonable costs as defined in section 
1861(v) of the Act, or the provider's customary charges for those 
services, if lower. Medicare reasonable costs are determined based on 
the provisions of section 1861(v) of the Act, and existing regulations 
under 42 CFR part 413. Medicare payments to providers of services must 
be based on the reasonable cost of services covered under Medicare and 
related to the care of beneficiaries.\508\ Medicare's reasonable cost 
principles are also set forth in the CMS Pub. 15-1 (herein referred to 
as PRM-1). \509\
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    \508\ Section 1861(v)(1)(A) of the Act; 42 CFR 413.9
    \509\ PRM-1, chapters 21 and 23. CMS Pub. 15-1 can be found at 
https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Paper-Based-Manuals-Items/CMS021929).
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    Under Medicare's reasonable cost reimbursement principles, Medicare 
reimburses providers for actual costs incurred for Medicare-related 
items and services, excluding unnecessary costs, in the efficient 
delivery of needed health services. The Medicare ``reasonable cost'' 
statute at section 1861(v) of the Act allows the Secretary to develop 
methods for measuring reimbursable costs such that the necessary costs 
of efficiently delivering covered services to Medicare beneficiaries 
will not be borne by non-Medicare beneficiaries, and the costs with 
respect to individuals who are not Medicare beneficiaries will not be 
borne by Medicare.
    Some providers are reimbursed for all or some of their services on 
a reasonable cost basis such as critical access hospitals (CAHs) 
reimbursed at 101 percent of their reasonable costs; CAH swing-bed 
skilled nursing facilities (SNFs) reimbursed at 101 percent of their 
reasonable costs; rural health clinics (RHCs) reimbursed under the all-
inclusive rate up to their payment limit; OPOs and HCLs reimbursed 
based on their reasonable cost for organ acquisition and tissue typing 
services; TEFRA hospitals (that is, children's hospitals, cancer 
hospitals, long term care hospitals classified as extended neoplastic 
disease care hospitals, and hospitals located in the U.S. Virgin 
Islands, Guam, the Northern Mariana Islands, and American Samoa) 
reimbursed for their reasonable costs up to the TEFRA limit.
    In general, Medicare makes interim payments to providers through 
claims processing and additionally, for any pass-through costs such as 
organ acquisition or nursing and allied health cost, based on estimated 
costs or predetermined rates. These payments are typically made on a 
biweekly basis throughout the year, ensuring a steady cash flow to 
providers until final cost determinations are made. After the cost 
reporting period ends, providers submit an MCR documenting their actual 
allowable costs. The contractor reviews the provider's cost report and 
calculates a settlement by comparing total interim payments made to the 
provider during the year with the provider's actual allowable 
reasonable costs as determined from the provider's cost report. It is 
this process by which Medicare determines a provider's reasonable 
costs. If interim payments exceed the provider's actual allowable 
reasonable costs, the provider must pay Medicare for the overpayment. 
If actual

[[Page 19737]]

allowable costs exceeded interim payments, Medicare pays the provider 
the additional amount owed.
b. Reasonable Cost Proposals
    Section 1102 of the Act authorizes the Secretary to publish rules 
and regulations necessary for the efficient administration of the 
functions with which the Secretary is charged under the Act. Section 
1871(a) of the Act also authorizes the Secretary to prescribe such 
regulations as may be necessary to carry out the administration of the 
Medicare Program. Additionally, under section 1861(v)(1)(A) of the Act, 
the Secretary has authority to determine reasonable costs of providing 
patient care to Medicare beneficiaries. In this proposed rule, we 
clarify existing policy and propose to codify certain longstanding 
Medicare reasonable cost reimbursement policies as well as to change 
certain other Medicare reasonable cost reimbursement policies.
    In addition to the Medicare ``reasonable cost'' statute at section 
1861(v) of the Act, part 413 of the regulations establishes Medicare's 
principles of reasonable cost reimbursement. Under 42 CFR 413.1(a)(2), 
these regulations in part 413 govern Medicare payment for services 
provided to beneficiaries by the following provider types: hospitals, 
CAHs, rural emergency hospitals (REHs), skilled nursing facilities 
(SNFs), home health agencies (HHAs), ESRD facilities, OPOs, and HCLs.
    Section 413.1(a)(2)(v) identifies OPOs as a provider type to which 
part 413 of the regulations apply, making them expressly subject to 
Medicare's reasonable cost principles, including 42 CFR 413.9 regarding 
costs related to patient care. We find it necessary to restate this 
because OPOs have asserted in certain administrative appeals that 
reasonable cost principles and rules do not apply to them because they 
do not provide direct patient care. OPOs provide services directly 
related to patient care by procuring, perfusing, and transporting 
organs for transplantation into all organ recipients, including 
Medicare beneficiaries. An OPO must enter into an agreement with CMS, 
if it seeks payment under Medicare for organ procurement costs. An OPO 
incurs organ procurement costs for providing THs with organs for 
transplantation and for which the TH pays the OPO. When a Medicare 
beneficiary receives an organ transplant, the TH bills Medicare for the 
transplant and organ acquisition costs. As such, an OPO's organ 
acquisition costs that are paid by the TH and passed on to Medicare 
clearly arise under the Medicare statute under section 1861(v) and are 
governed by the statutory requirements and implementing regulations. As 
previously stated in section X.D.2. of this proposed rule, Public Law 
95-292 required that the amounts of payments to OPOs and HCLs made 
under title XVIII for procuring organs must not exceed the costs 
incurred by OPOs and HCLs and must be determined in accordance with 
section 1861(v) of the Act. Accordingly, OPOs are subject to Medicare's 
reasonable cost principles, the regulations in part 413, and the 
reasonable cost payment proposals in this proposed rule.
    The Office of Inspector General (OIG) has conducted audits 
identifying instances in which providers including CAHs, transplant 
hospitals, and OPOs have claimed unallowable costs on their MCRs.\510\ 
In these audits, the OIG has attributed the costs not meeting Medicare 
requirements to several factors including, the costs were not related 
to patient care, were not reasonable and necessary, were not adequately 
documented, and in some cases were unallowable entertainment costs. In 
its 2023 audit report, the OIG found that certain OPOs claimed 
unallowable costs because they misunderstood Medicare's reasonable cost 
principles and provisions and recommended CMS update applicable 
Medicare requirements to clarify the allowability of certain overhead 
costs.\511\ We believe the proposed provisions that follow will address 
key issues identified by the OIG regarding Medicare's reasonable cost 
principles and provide clarity for all providers who seek reimbursement 
for services under Medicare's reasonable cost provisions.
---------------------------------------------------------------------------

    \510\ https://oig.hhs.gov/oas/reports/region9/90800033.pdf; 
https://oig.hhs.gov/oas/reports/region9/90900087.pdf; https://oig.hhs.gov/oas/reports/region9/90500034A.pdf; https://oig.hhs.gov/reports/all/2011/review-of-select-medicare-conditions-of-participation-and-costs-claimed-at-richards-memorial-hospital-from-october-1-2004-through-september-30-2007/; https://oig.hhs.gov/oas/reports/region9/91102039.pdf ; https://oig.hhs.gov/reports/all/2023/medicare-paid-independent-organ-procurement-organizations-over-half-a-million-dollars-for-professional-and-public-education-overhead-costs-that-did-not-meet-medicare-requirements/.
    \511\ https://oig.hhs.gov/documents/audit/9634/A-09-21-03020-Complete%20Report.pdf.
---------------------------------------------------------------------------

(1) Prudent Buyer Principles
    Medicare's longstanding prudent buyer principles are set forth in 
the PRM-1, chapter 21, section 2103, issued in 1975. Medicare's prudent 
buyer principles also coincide with the principles set forth in the 
regulations at 42 CFR 413.9, Cost related to patient care. Implicit in 
the policy that payment is determined based on costs that are 
reasonable is the expectation that the provider will seek to minimize 
its costs and that its actual costs will not exceed what a prudent and 
cost-conscious buyer would pay for a given item or service. The prudent 
and cost-conscious buyer not only refuses to pay more than the going 
price for an item or service but also seeks to economize by minimizing 
cost. This is especially so when the buyer is an institution or 
organization which makes bulk purchases and can, therefore, often gain 
discounts because of the size of its purchases. In addition, bulk 
purchase of items or services often gives the buyer leverage in 
bargaining with suppliers for other items or services. Another way to 
minimize cost is to obtain free replacements or reduced charges under 
warranties for medical devices. Any alert and cost-conscious buyer 
seeks such advantages, and it is expected that Medicare providers of 
services will also seek them. If costs are determined to exceed the 
level that prudent buyers incur, the excess costs are not allowable and 
not reimbursable under Medicare in the absence of clear evidence that 
the higher costs were unavoidable.
    The PRM-1, chapter 21, section 2103 sets forth the following 
examples of the application of the prudent buyer principle where costs 
are not reimbursable because the prudent buyer principle has not been 
applied by the provider:
     Provider A consistently purchases supplies from supplier R 
and makes no effort to obtain the most advantageous price for its 
supplies. Supplier W sells identical or equivalent supplies at a lower 
cost and is also convenient to A. Unless the provider can clearly 
justify its practice of purchasing supplies from R rather than W, any 
excess of R's charges over W's charges is excluded from the provider's 
costs.
     Supplier L supplies drugs to skilled nursing facility B 
and rents space from B to store the drugs to be used there. The rental 
paid by L to B for the space would generally constitute an indirect 
discount on the cost of drugs and must be reflected as a reduction of 
the cost of drugs supplied.
     Dr. C, a hospital-based radiologist, purchases radiology 
equipment which he then leases to the provider where he is a staff 
member. Costs to the provider in this case are higher than if the 
equipment had been leased through competitive bidding from an outside 
source. The Medicare contractor reimburses the provider only for those 
costs which a prudent and cost-conscious buyer would pay. Therefore, 
those costs which the provider pays for

[[Page 19738]]

the equipment leased from the staff radiologist which are in excess of 
costs for equivalent equipment obtained through competitive bidding are 
denied.
     Provider B purchases cardiac pacemakers or their 
components for use in replacing malfunctioning or obsolete equipment, 
without asking the supplier/manufacturer for full or partial credits or 
payments available under the terms of the warranty covering the 
replaced equipment. The credits or payments that could have been 
obtained must be reflected as a reduction of the cost of the equipment 
supplied.
    Providers may incur costs that are not allowable under Medicare 
when they fail to apply the prudent buyer principle. Other examples 
where the prudent buyer principle has not been applied by the provider 
include, but are not limited to, fees paid to consultants, attorneys, 
or other professionals that are excessive compared to market rates or 
for services not directly related to patient care; equipment purchases 
that are more expensive or sophisticated than necessary for the 
provider's patient population; and costs for items that are not 
necessary for patient care or that represent luxury items may be 
disallowed.
    The application of the prudent buyer principle is set forth in PRM 
15-1, chapter 21, section 2103 and includes the following examples of 
methods that contractors \512\ may employ for detecting and 
investigating situations in which costs seem excessive: comparing the 
prices paid by providers to the prices paid for similar items or 
services by comparable purchasers, spot-checking, and querying 
providers about indirect, as well as direct, discounts. We note that in 
addition to these examples contractors may employ other methods for 
determining which costs seem excessive, including but not limited to: 
use of IRS Form 990 in comparing reasonableness of executive and 
employee compensation with those at comparable institutions, use of 
federal per diem rates in determining the reasonableness of 
accommodations or meeting spaces for conferences and seminars for 
patient-care related activities and use of the provider's own records 
in determining whether costs of certain activities are reasonable and 
necessary. The geographic location of the provider should also be 
considered as rates may vary across regions.
---------------------------------------------------------------------------

    \512\ (79 FR 49854 at 50199 on August 22, 2014).
---------------------------------------------------------------------------

    We believe the use of IRS Form 990 is appropriate to compare 
compensation because the information provided is widely recognized in 
the industry, standardized and publicly available. Additionally, we 
believe the use of Federal per diem rates are an appropriate method of 
comparison because they reflect industry norms and are established 
based on extensive data collection and analysis, account for geographic 
variations and are transparent. We also note these methods align with 
Medicare's reasonable cost regulation under 42 CFR 413.9(c) which 
provides that actual costs may vary among providers, however, costs 
must not be substantially out of line with similar institutions in the 
same area and of comparable size, scope, utilization and other relevant 
factors. Amounts not related to patient care, or flowing from the 
provision of luxury items or services are not reimbursable under the 
program and are not allowable costs.
    The PRM-1, chapter 21, section 2103 also provides where a group of 
institutions has a joint purchasing arrangement which seems to result 
in participating members getting lower prices because of the advantages 
gained from bulk purchasing, any potentially eligible providers in the 
area which do not participate in the group may be called upon to 
justify any higher prices paid. Also, the manual provides that when 
most of the costs of a service are reimbursed by Medicare (for example, 
for a home health agency which treats only Medicare beneficiaries), 
examine the costs with particular care. In those cases where a 
contractor notes that a provider pays more than the going price for a 
supply or service or does not try to realize savings available under 
warranties for medical devices or other items, in the absence of clear 
justification for the premium, the contractor excludes excess costs in 
determining allowable costs under Medicare.
    In this proposed rule, we are proposing to codify a definition of 
the prudent buyer in accordance with the principle set forth in PRM-1, 
section 2103 and that reflects similar terminology used across 
financial, legal, and insurance fields as well as propose to codify the 
application of the prudent buyer principle currently set forth in PRM-
1, section 2103. Specifically, in this proposed rule, we are proposing 
to revise Sec.  413.9(b) to add paragraph (b)(3) to specify that the 
prudent buyer is a person, provider type or entity that purchases items 
or property with caution, good judgment, and a sensible approach, 
aiming to make a sound, informed decision that minimizes risk and 
avoids unnecessary financial loss. This person, provider type or entity 
thoughtfully evaluates the condition, legal, and financial aspects of a 
purchase, much like a reasonably prudent person would in a similar 
situation.
    In this proposed rule, we are also proposing to revise Sec.  
413.9(c) to add paragraph (c)(4) to codify the application of the 
prudent buyer principle to providers to specify that providers are 
expected to economize by not paying more than the going price for an 
item or service and seeking to minimize their costs, so that their 
actual costs will not exceed what a prudent and cost-conscious buyer 
would pay for a given item or service. If costs are determined to 
exceed the level that prudent buyers incur, the excess costs are not 
reimbursable in the absence of clear evidence that the higher costs 
were unavoidable.
(2) Entertainment and OPOs Public Education and Outreach for Organ 
Donation Awareness
    Under section 1861(v)(8) of the Act, costs for entertainment, 
including tickets to sporting and other entertainment events, must not 
be included in a provider's costs for Medicare reimbursement purposes 
because they are not reasonable costs related to patient care. The PRM-
1, chapter 21, section 2105.8 sets forth that ``Costs incurred by 
providers for entertainment, including tickets to sporting or other 
events, alcoholic beverages, golf outings, ski trips, cruises, 
professional musicians or other entertainers, are not allowable.'' 
Additionally, PRM-1, chapter 21, section 2102.3 provides that, ``Costs 
not related to patient care are costs which are not appropriate or 
necessary and proper in developing and maintaining the operation of 
patient care facilities and activities. Costs which are not necessary 
include costs which usually are not common or accepted occurrences in 
the field of the provider's activity. Such costs are not allowable in 
computing reimbursable costs and include, for example: cost of meals 
sold to visitors; cost of drugs sold to other than patients; cost of 
operation of a gift shop; cost of alcoholic beverages furnished to 
employees or to others regardless of how or where furnished, such as 
cost of alcoholic beverages furnished at a provider picnic or furnished 
as a fringe benefit; cost of gifts or donations; cost of entertainment, 
including tickets to sporting and other entertainment events; cost of 
personal use of motor vehicles; cost of fines or penalties resulting 
from violations of Federal, State, or local laws; cost of educational 
expenses for spouses or other dependents of providers of services, 
their employees or contractors, if they are not active employees of the

[[Page 19739]]

provider or contractor; cost of meals served to executives that exceed 
the cost of meals served to ordinary employees due to the use of 
separate executive dining facilities (capital and capital-related 
costs), duplicative or additional food service staff (chef, waiters/
waitresses, etc.), upgraded or gourmet menus, etc.; and cost of travel 
incurred in connection with non-patient care related purposes.''
    Despite this instruction, some providers continue to include 
inappropriate expenses for entertainment and sporting activities on 
their MCRs and CMS's disallowance of these costs often results in 
appeals. For example, some OPOs are reporting costs on their OPO/HCL 
MCR, Form CMS-216-94, (OMB control number 0938-0102), (hereinafter 
referred to as OPO/HCL MCR), for items such as the sponsorship of 
professional sports teams, sponsorship of race car drivers at 
nationally viewed racing events, sponsorship of floats at nationally 
viewed parades, and costs for musical entertainment and performers at 
these events. Some of these sponsorships have included items such as, 
full season tickets to professional basketball games, autographed 
items, tickets to racing events, entrance to hospitality suites, 
sponsorship of Indy Car teams and dirt track race cars, rides in an 
Indy Car, pit lane and garage tours and driver appearances at off-track 
events. These types of costs are not reasonable costs related to 
patient care and therefore, are unallowable under Medicare's reasonable 
cost principles.
    Under section 371(b)(3)(B) of the PHSA, OPOs are responsible to 
``conduct and participate in systematic efforts, including professional 
education, to acquire all useable organs from potential donors,'' and 
``assist hospitals in establishing and implementing protocols for 
making routine inquiries about organ donations by potential donors.'' 
We have recognized the importance of OPOs implementing public education 
activities to increase organ donation awareness and increase the donor 
registration. (In the context of OPOs' public education activities, we 
note that the terms public education, public outreach, or public 
awareness have the same meaning and may be used interchangeably.) We 
have historically afforded OPOs the flexibility to allocate educational 
resources based on their individual donation service area (DSA) 
needs.\513\ Medicare currently recognizes the costs incurred by OPOs 
for public education regarding organ donation awareness as allowable 
costs if they are reasonable and necessary and related to patient care. 
The current OPO/HCL MCR instructions set forth that public education 
costs are expenses associated with organizing awareness programs 
designed to inform the ``general public'' of the need for organs and 
organ transplant services.\514\ OPOs include professional and public 
education costs as OPO overhead costs on their OPO/HCL MCR, and 
Medicare shares in these costs.
---------------------------------------------------------------------------

    \513\ 71 FR 31027, May 31, 2006. CMS defines DSA to mean a 
geographical area of sufficient size to ensure maximum effectiveness 
in the procurement and equitable distribution of organs and that 
either includes an entire metropolitan statistical area or does not 
include any part of such an area and that meets the standards of 42 
CFR 486.302 subpart G. Once an OPO is certified and assigned a 
geographic service area, organ procurement costs of the OPO are 
eligible for Medicare and Medicaid payment under section 
1138(b)(1)(F) of the Act. (42 CFR 486.302).
    \514\ PRM-2, chapter 33, section 3304, Worksheet A, line 11.
---------------------------------------------------------------------------

    Some OPOs have asserted that their engagement in entertainment and 
sporting events, such as sponsoring parade floats, purchasing tickets 
to sporting events, engaging or purchasing tickets for musical 
entertainers and performers, lodging, food and beverages, and 
sponsoring professional race car driving events, are types of public 
education costs that serve to reach large audiences to educate 
potential donors regarding the benefits of organ donation, and thus 
recruit candidates for organ donor registries. OPOs' sponsorship costs 
for these entertainment and sporting events, declared by OPOs to be 
public education events, vary depending upon the event type and 
additional items the OPO can select for the sponsorship level that may 
increase the cost to the OPO.
    One report indicated that costs to build a float in the Rose Bowl 
Parade may be in the vicinity of $125,000 to $500,000 per parade 
event.\515\ In one audit, the OIG found that an OPO incurred $327,278 
of costs related to the 2006 Rose Parade and Rose Bowl, and reported 
$153,513 costs as public education overhead costs on its OPO/HCL MCR 
related to the Rose Parade and Rose Bowl.\516\ The OIG categorized 
these costs as unallowable because they were incurred for entertainment 
and sporting events, in accordance with PRM-1, chapter 21, sections 
2102.3 and 2105.8.\517\ The unallowable costs identified by OIG 
included costs for: float design, lodging, receptions, banquets and use 
of hotel ballroom, chartered buses, shuttles and limousines for parade 
day, media expenses, such as audiovisual equipment, photography and 
television coverage, musical performances, and other costs such as food 
and beverage, public storage and flowers.\518\ We have also seen some 
OPOs reporting sponsorship costs for a race car driver, at an Indy Car 
event in the hundreds of thousands of dollars per sponsorship. These 
types of OPO-sponsored entertainment and sporting events far exceed 
what a cost-conscious buyer, in this case an OPO, should spend for 
providing targeted public education regarding organ donation within its 
DSA. The result is OPOs including costs on their OPO/HCL MCR that are 
in excess than those generally considered necessary for the provision 
of needed health services, and therefore, unallowable under Medicare's 
reasonable cost principles and Sec.  413.9, Cost related to patient 
care. While these entertainment and sporting events may attract wide 
viewership and occur within the OPO's DSA, such factors do not 
constitute targeted public education initiatives, measure attendees or 
focused educational conversations, or demonstrate measurable successes 
and increases in donor registration.
---------------------------------------------------------------------------

    \515\ https://spectrumnews1.com/ca/southern-california/news/
2021/07/09/parade-float-builder-faces-steep-costs-as-rose-parade-
preparations-
begin#:~:text=Estes%20said%20each%20float%20takes,ranges%20from%20%24
125%2C000%20to%20%24500%2C000.
    \516\ https://oig.hhs.gov/oas/reports/region9/90800033.pdf.
    \517\ Id.
    \518\ Id.
---------------------------------------------------------------------------

    We are aware of several OPOs conducting successful, cost-effective 
public education events within their DSAs while observing Medicare's 
reasonable cost principles and fulfilling their objectives of 
increasing donor registrations. These public education events have 
successfully increased the number of registered donors and effectively 
reached underrepresented groups within their DSA. For example, some 
OPOs have engaged with local high schools and colleges, Health 
Occupational Student Associations, and participated in local 
multicultural outreach events and set up booths at minor league 
baseball games and events within their communities and demonstrated 
successful organ donor registration at these engagements.
    We believe for OPOs' public education costs to be allowable under 
Medicare, the costs incurred must be for direct engagement in public 
outreach and education events for efforts that are more direct and 
systematic to target populations within their DSAs and where one-on-one 
activity and conversations can take place to educate and register 
individuals for organ

[[Page 19740]]

donation. Specifically, we believe allowable OPO public education costs 
are for an OPO's community-based and locally focused efforts and 
effects, that include opportunities to register donors and track the 
number of registrations obtained during each effort. The OPO staff 
should be available to answer questions directly about the organ 
donation process and may provide modest token items and educational 
materials to individuals to support organ donation awareness (for 
example, pens, awareness bracelets, buttons, stickers, cups, or 
electronic and print materials that include the OPO's website address, 
QR codes linking to donor registration platforms, or information on 
upcoming community-based organ donation awareness events).
    We believe that allowable costs under Medicare for OPO public 
education initiatives include costs that directly support organ 
donation and align with Medicare's reasonable cost principles. Examples 
would include OPOs' participation and engagement in settings that can 
facilitate direct conversations with individuals regarding organ 
donation such as, setting up booths at local farmer's markets, health 
fairs, high school or local college sporting events, partnering with 
community organizations, faith-based groups, schools and health care 
facilities, participating in local multicultural festivals, providing 
education at driver's education programs and at local Department of 
Motor Vehicles (DMV) and Department of Natural Resources so that 
individuals can register to become an organ donor while obtaining a 
driver's license or fishing license.
    The 2025 National Survey of Organ Donation Attitudes and Practices: 
Report of Findings \519\ reported that 89.3 percent of people who 
registered to be organ donors did so at a state DMV or similar State 
motor vehicle administration office. According to the report, other 
methods of donor registration include 12.4 percent who had registered 
through donor drives, 10.3 percent through mobile apps, 11.6 percent 
through a website, 9.6 percent through the U.S. military and 11.8 
percent through some other way. The report also noted that those under 
age 50 as well as Black, Asian, Hispanic, and other/multiple races were 
more likely to register through a donor drive, mobile app, or website. 
Although most organ donors are registered via the DMV, there remain 
underrepresented groups within OPOs' DSAs whose registration rates 
could benefit from targeted community-based outreach.\520\
---------------------------------------------------------------------------

    \519\ 2025 National Survey of Organ Donation Attitudes and 
Practices Report of Findings..
    \520\ https://optn.transplant.hrsa.gov/data/view-data-reports/national-data/#.
---------------------------------------------------------------------------

    We do not believe that OPOs should incur costs and seek 
reimbursement from Medicare for engaging in national organ donor 
awareness campaigns. Health Resources and Services Administration 
(HRSA) is authorized, on behalf of the Secretary of Health and Human 
Services, to develop a public awareness program that partners with 
existing national campaigns to inform the public about organ 
donation.\521\ In the past, HRSA received Federal funding for public 
awareness of organ donation programs.\522\ Additionally, some of HRSA's 
past public outreach activities have consisted of developing and 
disseminating consumer-focused materials, including downloadable 
posters; fact sheets and brochures; radio, print, and television Public 
Service Announcements; educational videos; paid media advertisements; 
radio media tours; billboards, wall graphics at major airports, and 
social media messages.\523\ HRSA currently manages ongoing resources 
such as Organdonor.gov, the U.S. government's central resource for 
comprehensive, trusted information on organ, eye, and tissue donation 
and uses this website to educate the public, encourage donor 
registration, and provide access to a library of outreach and 
educational materials.\524\ OPOs are permitted to use HRSA's outreach 
materials library to access free educational resources for organ 
donation awareness activities. We believe utilizing these materials may 
represent more cost-effective methods of increasing awareness than 
sponsoring national entertainment-oriented events that incur 
substantial expenditures. Considering the past Federal expenditures and 
ongoing efforts from HRSA for national public awareness, it seems that 
an individual OPO's request for reimbursement from Medicare for 
national-level outreach activities of a similar nature may be 
duplicative of HRSA's efforts for national awareness purposes.
---------------------------------------------------------------------------

    \521\ 42 U.S.C. 274f-1(a).
    \522\ https://www.congress.gov/bill/108th-congress/house-bill/3926/text/statute?format=txt.
    \523\ https://www.govinfo.gov/content/pkg/CMR-HE20_9000-00192981/pdf/CMR-HE20_9000-00192981.pdf.
    \524\ https://www.organdonor.gov/professionals/outreach-materials.
---------------------------------------------------------------------------

    We are committed to carefully and responsibly stewarding the tax 
dollars in the Medicare Trust Fund, and do not believe that providers 
should be claiming unreasonable, non-allowable, or non-reimbursable 
costs for reimbursement under Medicare on the Medicare cost report. 
Therefore, in this proposed rule, we are proposing to codify existing 
policy set forth in PRM-1, chapter 21, sections 2102.3 and 2105.8, 
while also providing greater specificity regarding unallowable 
entertainment costs for providers, including to specify that such 
unallowable costs include sponsorship of sporting events, teams or 
athletes, including race car drivers or motorsports activities, 
retreats held at spas or luxury resorts, spa services or treatments, 
and recreational excursions. In this proposed rule, we are also 
proposing to codify the current policy set forth in the OPO/HCL MCR; 
\525\ in doing so, we also propose to provide greater specificity 
regarding allowable public education costs for OPOs.
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    \525\ PRM-2, chapter 33, section 3304, Worksheet A, line 11.
---------------------------------------------------------------------------

    Specifically, we are proposing to add Sec.  413.5(c)(10) to specify 
that costs incurred by providers for entertainment, including costs 
associated with entertainment activities, or that are entertainment in 
nature, are not allowable costs. We are proposing to add Sec.  
413.5(c)(10)(i) to specify that--(1) paragraph (c)(10) includes costs 
that OPOs incur to engage in public education to increase awareness of 
organ donation and increase donor registration; and (2) non-allowable 
entertainment costs include, but are not limited to the following:
     Tickets, admission fees, or entry to sporting or other 
events, including national or professional sporting events.
     Sponsorship of sporting events, teams or athletes, 
including race car drivers or motorsports activities.
     Sponsorship of floats in national parades.
     Concert, theater, or performing arts events, professional 
musicians or other entertainers.
     Wine tours or alcoholic beverages.
     Retreats held at spas or luxury resorts, spa services or 
treatments.
     Golf outings, ski trips, cruises and similar recreational 
excursions.
    In this proposed rule, we are also proposing to add Sec.  
413.5(c)(11) to specify that costs incurred by OPOs to engage in public 
education within its donation service area to increase awareness of 
organ donation and increase donor registration are allowable if they 
are reasonable and do not violate Sec.  413.5(c)(10). We are also 
proposing to amend Sec.  413.402(a) and (d)(2)(v) to cross-reference 
the policy set forth in Sec.  413.5(c)(11) regarding OPOs' public 
education costs. Additionally, in this proposed rule, we are proposing 
to

[[Page 19741]]

codify our longstanding policy in PRM-1 chapter 21, section 2102.3 
regarding certain unallowable costs incurred by providers for drugs 
sold to other than patients, fines and penalties, and expenses 
associated with operating a gift shop. Specifically, we are proposing 
to add Sec.  413.5(c)(17) to specify that costs incurred by providers 
for drugs sold to other than patients are not related to patient care 
and are not allowable costs. We are proposing to add Sec.  413.5(c)(18) 
to specify that costs incurred by providers for fines or penalties 
resulting from Federal, State or local laws are not allowable costs. 
Lastly, we are proposing to add Sec.  413.5(c)(19) to specify that 
costs incurred by providers for operation of a gift shop are not 
allowable costs.
(3) Activities for Employees and Non-employees of the Provider
    The PRM-1, chapter 21, section 2105.8 sets forth that ``Costs 
incurred by providers for entertainment, including tickets to sporting 
or other events, alcoholic beverages, golf outings, ski trips, cruises, 
professional musicians or other entertainers, are not allowable.'' We 
continue to believe that these costs are appropriately excluded from 
allowable costs. However, PRM-1, chapter 21, section 2105.8 also states 
that ``Costs incurred by providers for purposes of employee morale, 
specifically, for an annual employee picnic, an annual Christmas or 
holiday party, an annual employee award ceremony or for sponsorship of 
employee athletic programs (for example, bowling, softball, basketball 
teams, etc.), are allowable to the extent that they are reasonable.'' 
After further consideration, we believe that costs incurred by 
providers for events for their employees and non-employees such as 
employee picnics, parties, award ceremonies or for the sponsorship of 
employee athletic programs should not be allowable costs under 
Medicare, as they are not costs a provider incurs to provide patient 
care. While we understand the significance of employee events provided 
by providers for their employees' morale, we believe that costs 
associated with employee and non-employee entertainment do not coincide 
with Medicare's reasonable cost principles and are not costs related to 
patient care as required under 42 CFR 413.9.
    There are many cost-effective methods for improving employee morale 
that do not require entertainment expenses. Flexible work schedules, 
wellness programs, recognition for achievements, and creating a 
positive workplace culture are just a few examples of ways to support 
employees without impacting healthcare resources. (These items are 
separate from a provider's cost of fringe benefits provided to 
employees under the PRM-1, chapter 21, section 2144.4 that may be 
recognized as a provider's costs for Medicare reimbursement purposes. 
Employee fringe benefits that are part of a formal written policy and 
considered reasonable compensation (for example, health insurance, 
retirement plans) are generally allowable costs under Medicare.)
    Therefore, in this proposed rule we are proposing to change the 
current policy provided in PRM-1, chapter 21, section 2105.8 to 
disallow costs incurred by providers for employees or non-employees or 
anyone for entertainment expenses for employee entertainment activities 
and employee morale, including but not limited to those set forth in 
PRM-1, chapter 21, section 2105.8, because they are not related to 
providing patient care. Specifically, we are proposing to add 42 CFR 
413.5(c)(12) to specify that costs incurred by providers for anyone for 
purposes of employee and non-employee entertainment activities and 
employee morale, which include, but are not limited to, picnics, 
parties, performers, entertainment, award ceremonies, or the 
sponsorship of scholarships or athletic programs are not allowable 
costs.
(4) Alcoholic Beverages
    The PRM-1, chapter 21, section 2105.8 sets forth that costs 
incurred by providers for alcoholic beverages are not allowable. 
Additionally, PRM-1, chapter 21, section 2102.3 sets forth that a 
provider's ``cost of alcoholic beverages furnished to employees or to 
others regardless of how or where furnished, such as cost of alcoholic 
beverages furnished at a provider picnic or furnished as a fringe 
benefit, are not allowable in computing reimbursable costs.'' OIG 
audits have found, and we have seen instances where some providers have 
included costs for furnishing alcohol in their MCRs, despite these 
prohibitions outlined in the PRM-1.\526\ A provider's costs to furnish 
alcohol to anyone are not related to patient care and are not 
appropriate, necessary, or proper in developing and maintaining the 
operation of patient care facilities and activities. Therefore, in this 
proposed rule, we are proposing to codify these longstanding provisions 
into the regulations by adding Sec.  413.5(c)(13) to specify that costs 
incurred by providers to furnish alcoholic beverages to anyone are not 
allowable costs.
---------------------------------------------------------------------------

    \526\ https://oig.hhs.gov/oas/reports/region9/90800033.pdf; 
https://oig.hhs.gov/oas/reports/region9/90900087.pdf; https://oig.hhs.gov/documents/audit/9634/A-09-21-03020-Complete%20Report.pdf.
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(5) Professional Education and Travel
(a) Costs for OPO Professional Education
    Regarding allowable professional education costs for OPOs, under 
section 371(b)(3)(B) of the PHSA, OPOs are responsible to ``conduct and 
participate in systematic efforts, including professional education, to 
acquire all useable organs from potential donors,'' and ``assist 
hospitals in establishing and implementing protocols for making routine 
inquiries about organ donations by potential donors.'' Medicare has 
recognized the costs incurred by OPOs' for providing professional 
education for increasing organ donation awareness and acquiring organs 
for transplantation as allowable costs, if such costs are reasonable, 
necessary and related to patient care. OPOs include professional 
education costs as OPO overhead costs on the OPO/HCL MCR, and Medicare 
shares in these costs. The current guidance regarding allowable 
professional education costs is set forth in the OPO/HCL MCR and 
includes, ``costs associated with the education of donor hospital 
personnel and physicians, including the expenses of meetings, seminars, 
slide shows, and presentations.'' \527\
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    \527\ PRM-2, chapter 33, section 3304, Worksheet A, line 10.
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    In 2023, the OIG reviewed OPOs' expenses and found that Medicare 
paid for costs incurred for professional and public education 
activities that did not meet Medicare requirements.\528\ The OIG 
recommended CMS update the applicable requirements to clarify what 
types of professional and public education costs are unallowable.\529\ 
We note that we discuss public education costs in section X.D.2.b.(2) 
of the preamble of this proposed rule. In this proposed rule, we are 
establishing in regulation that the types of professional education 
provided by OPOs to the clinical staff of hospitals should be focused 
on organ donation to acquire all usable organs from potential donors in 
accordance with section 371(b)(3)(B) of the PHSA.
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    \528\ https://oig.hhs.gov/reports/all/2023/medicare-paid-independent-organ-procurement-organizations-over-half-a-million-dollars-for-professional-and-public-education-overhead-costs-that-did-not-meet-medicare-requirements/.
    \529\ Id.
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    In response to comment in the FY 2022 IPPS/LTCH PPS final rule with 
comment period, we stated that costs of

[[Page 19742]]

an OPO-sponsored seminar that does not provide continuing education 
credits, regardless of whether the seminar is provided to the OPO 
staff, may be an allowable cost if it relates to patient care and meets 
the requirements at 42 CFR 413.9. (see 86 FR 73476). In this proposed 
rule we are providing additional specificity regarding both the nature 
of the education offered at OPO-sponsored seminars and the intended 
audience for such seminars as referenced in our previous statement. The 
OPO-sponsored seminars may include meetings, presentations, and other 
professional education activities that do not offer continuing 
education credits, provided to clinical staff such as OPO personnel, 
donor hospital staff, and physicians and the content is directly 
related to organ donation and the acquisition of all available organs 
for transplantation. These costs must meet Medicare's reasonable cost 
principles and be related to patient care as set forth at Sec.  413.9. 
Therefore, in accordance with OIG's recommendations regarding 
clarification of allowable professional education costs, in this 
proposed rule, we are proposing to codify existing policy, with certain 
modifications to provide greater specificity, set forth in OPO/HCL MCR 
instructions and requirements under section 371(b)(3)(B) of the PHSA 
regarding OPO professional education costs.
    In this proposed rule, we are proposing to add new paragraph 
(c)(14)(i) to specify that the costs incurred by OPOs for professional 
education such as meetings, seminars, and presentations on organ 
donation to acquire all useable organs from potential donors, where 
continuing education credits are not given and where the attendee is 
clinical staff such as OPO staff, donor hospital staff, and physicians, 
are allowable costs.
    Additionally, in response to a comment in the FY 2022 IPPS Final 
Rule with comment period, (86 FR 73476), we stated, the reasonable cost 
of an OPO-sponsored seminar that provides continuing education credits, 
may be an allowable administrative and general cost limited to the OPO 
staff (as described at Sec.  486.326(b)) if the seminar is related to 
patient care and meets the requirements at Sec.  413.9. In this 
proposed rule, we are proposing to codify the existing policy regarding 
allowable costs of OPO-sponsored seminars where continuing education 
credits are given to the OPO staff. Specifically, we are proposing to 
add new paragraph (c)(14)(ii) to specify, the costs for OPO-sponsored 
seminars where continuing education credits are given and where the 
attendee is on the OPO staff are allowable costs to the extent that 
they are patient care related, reasonable and necessary and we are also 
proposing to add new paragraph (c)(14)(iii) in accordance with existing 
requirements under Sec.  413.402(d)(2)(v) that costs incurred by OPOs 
for OPO-sponsored seminars where continuing education credits are given 
and where the attendee is not on the OPO staff are not allowable costs. 
Lastly, we are proposing to amend sections 413.402(a) and (d)(2)(v) to 
cross-reference the policy set forth in Sec.  413.5(c)(14)(iii) 
regarding OPOs professional education costs.
(b) Costs for Education and Travel
    The PRM-1, chapter 21 sets forth that the costs of staff training 
and education are allowable, provided they are reasonable and related 
to patient care. Specifically, the PRM-1, chapter 21 section 2128 
states that orientation and on-the-job training costs are recognized as 
normal operating expenses and are therefore allowable. Such training is 
typically conducted within the provider's own setting; however, if 
outside instruction is required, those costs are also considered 
allowable. Additionally, the PRM-1, chapter 21, section 2144.6 provides 
that the cost of items provided to the employee for the convenience of 
the provider, such as the cost of provider-paid educational courses, 
uniforms, and operating day care centers for the children of employees 
are not classified as fringe benefits and may be included in a 
provider's allowable cost to the extent they are reasonable and related 
to patient care. The PRM-1, chapter 21, section 2162.7 D. also 
specifies that providers are required to maintain continuous safety 
initiatives and professional and employee training programs aimed at 
reducing the severity of incidents related to malpractice, 
comprehensive general liability, and workers' compensation incidents.
    Regarding travel costs, the PRM-1, chapter 21, section 2105.6 sets 
forth that costs incurred by providers in conjunction with employee 
travel are generally allowable to the extent that they are patient care 
related and reasonable. However, travel costs incurred in conjunction 
with non-patient care related employee travel are not allowable. 
Foreign travel costs are allowable only where the provider can clearly 
substantiate the reasonableness and patient care relatedness of the 
travel costs to the satisfaction of the Medicare contractor.
    When providers incur costs for their employees or staff to travel 
to professional education activities, these costs must be for 
activities related to patient care, reasonable and necessary in 
accordance with Medicare's reasonable cost principles. In this proposed 
rule, we are clarifying that overnight travel costs incurred by a 
provider on behalf of its employees or staff for activities related to 
patient care to attend a professional education course, meeting, or 
similar event should be considered allowable when the event is located 
more than 50 miles away from the employee's workplace and requires more 
than 8 hours of attendance. We believe this clarification reflects 
standard business practices. An 8-hour workday is widely recognized 
across industries, and many federal agencies define local travel as 
occurring within a 50-mile radius of an employee's official 
worksite.\530\ Additionally, we believe providers are expected to 
minimize travel-related costs to professional education activities by 
selecting economy or coach class accommodations.
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    \530\ https://www.irs.gov/irm/part1/irm_01-032-
001#:~:text=(11)%201.32.,local%20long%2Dterm%20taxable%20travel; 
https://www.gsa.gov/directives/files?file=2025-07%2FCC050151%20OAS%205770.1B%20Local%20Travel%20Policy%20%28Clearance%29%20%281%29.pdf https://www.transportation.gov/media/
1751#:~:text=Local%20Travel:%20DOT%20defines%20local%20travel%20as%20
travel%20for%20official%20government%20business%20within%20a.
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    Additionally, section 1861(v)(8)(iii) of the Act and PRM-1, chapter 
21, section 2105.9 also provides that the costs incurred by providers 
related to employee personal use of provider vehicles are not allowable 
costs. In one OIG audit, the OIG found that a provider reported costs 
for chartered buses, shuttles, and limousines for Rose Bowl float 
judging and parade day on its Medicare cost report that were 
unallowable because they were entertainment focused and not related to 
patient care.\531\
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    \531\ https://oig.hhs.gov/oas/reports/region9/90800033.pdf.
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    Under section 1861(v)(8)(v) of the Act, education expenses for 
spouses or other dependents of providers of services, their employees 
or contractors are unrelated to patient care and not allowable. We note 
a 1998 PRRB decision permitted the provider's cost of an educational 
seminar that took place on a cruise ship as an allowable educational 
activity, McCurry's Home

[[Page 19743]]

Health, Inc. v. Blue Cross & Blue Shield Ass'n/Blue Cross & Blue Shield 
of Iowa, (Decision 98-D38, 1998 WL 598425 (H.C.F.A. June 5, 
1998)).\532\ In McCurry's Home Health, Inc., the Administrator reviewed 
and overturned the PRRB decision and declared that Medicare, as a 
prudent purchaser of health care services, was correct to question the 
reasonableness of the costs. The Administrator also declared that costs 
incurred by providers for cruises are not costs that are ``common and 
accepted occurrences in the field of the provider's activity'' within 
the definition of necessary and proper costs under 42 CFR 413.9. 
Additionally, the Administrator said that the provider's contention 
that there were no other seminars in its area or nearby that offered 
comparable educational information was not sufficient to make costs 
associated with a 7-day cruise to Alaska for employees based in Kansas 
City reimbursable, despite the 32 continuing education credits provided 
by the seminar. The Administrator declared that costs associated with 
the cruise other than the $350 per attendee in actual costs of the 
seminar were unreasonable.
---------------------------------------------------------------------------

    \532\ https://www.cms.gov/Regulations-and-Guidance/Review-
Boards/PRRBReview/Downloads/
1998D038.pdf#:~:text=The%20Provider%20contends%20that%20the,administr
ative%20functions%20of%20the%20job.
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    We agree that the costs of a cruise, regardless of whether 
continuing education credits are provided, are not common and accepted 
occurrences in the field of the provider's activity, are not reasonable 
and necessary and are not patient care related. We believe that 
entertainment, travel and vacation type of expenses, are not related to 
patient care and are not appropriate or allowable as professional 
educational expenses. Such expenses are not necessary or proper in 
developing and maintaining the operation of patient care facilities and 
activities.
    In this proposed rule, we are proposing to codify the existing 
policy in PRM-1, chapter 21, sections 2105.6, 2105.9, 2128, 2144.6, and 
2162.7 D. with certain modifications to provide greater specificity 
regarding education and travel costs. Specifically, in this proposed 
rule we are proposing to add new 42 CFR 413.5(c)(15) to specify that 
costs incurred by providers:
     For employee travel are generally allowable to the extent 
that they are patient care related, reasonable and necessary. Costs for 
travel not related to patient care are not allowable costs.
     To conduct, or send its employees or staff to, patient 
care related professional education refresher programs, seminars and 
workshops that increase the quality of patient care or operating 
efficiency of the provider, are generally allowable costs to the extent 
that they are patient care related, reasonable and necessary.
     For entertainment and vacation travel expenses such as 
travel on cruises or to resorts or spas, or transportation to 
entertainment or sporting events, are not allowable costs regardless of 
whether they are or are not incurred in connection with professional 
educational seminars or continuing education.
     Related to the personal use of provider vehicles are not 
allowable costs.
(6) Meals Provided to Employees and Non-Personnel
    Medicare's longstanding manual provisions regarding the 
allowability of a provider's costs for meals for its employees/
personnel and meals provided to those other than the personnel of the 
provider are provided in PRM-1, chapter 21, sections 2105.2, 2105.5, 
and 2145, and meals sold to visitors are provided in section 2102.3. 
These policies were established decades ago and we believe they require 
updating to ensure costs are reasonable and necessary and are incurred 
for patient care activities, in accordance with Medicare's reasonable 
cost principles.
    Section 2105.2 of PRM-1, chapter 21 states that the cost of meals 
for other than provider personnel is unallowable because it is not 
related to patient care. We have seen some OPOs assert in reimbursement 
appeals that meals provided to hospital staff during organ donation and 
management meetings constituted professional education overhead costs 
related to patient care and were therefore allowable. In 2023, the OIG 
reviewed certain OPOs' overhead costs and found some costs for meals 
were attributable to non-OPO employees. In its review, the OIG sampled 
20 professional and public education overhead costs (reported by eight 
OPOs), totaling $4,637, and found instances where meals were provided 
to non-OPO employees, with Medicare payments of $1,797.\533\ OIG 
recommended that we clarify whether costs of meals provided to non-OPO 
employees were allowable.
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    \533\ https://oig.hhs.gov/reports/all/2023/medicare-paid-independent-organ-procurement-organizations-over-half-a-million-dollars-for-professional-and-public-education-overhead-costs-that-did-not-meet-medicare-requirements/).
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    Additionally, in response to comment in the FY 2022 IPPS/LTCH final 
rule with comment period (86 FR 73416), we said that meals (excluding 
alcohol) provided to attendees of OPO-sponsored seminars (without 
continuing education credits) could be allowable administrative and 
general costs, provided the seminar related to patient care and met 
requirements under Sec.  413.9 (86 FR 73476). However, upon further 
review, we believe the cost of meals at OPO-sponsored seminars is a 
benefit to the seminar attendees, rather than a direct cost necessary 
for patient care. In this proposed rule, we are proposing to change our 
previous position to better align with Medicare's reasonable cost 
principles, 42 CFR 413.9 and section 2105.2 of PRM-1, which provides 
that the costs for meals provided to non-employees of the provider are 
unallowable costs.
    In a PRRB decision, the Board allowed a portion of costs incurred 
by a provider for refreshments at a community health education event, 
McCurry's Home Health, Inc. v. Blue Cross & Blue Shield Ass'n/Blue 
Cross & Blue Shield of Iowa (Decision 98-D38, 1998 WL 598425 (H.C.F.A. 
June 5, 1998)).\534\ Upon Administrator review of the PRRB decision, 
the Administrator declared that the provider's costs for refreshments 
at the educational event were not reasonable costs related to the care 
of the provider's own patients, citing the provisions of Sec.  413.9. 
We believe that meals provided to anyone, regardless of whether they 
are or are not employees or staff of the provider, would represent 
personal expenses and therefore should not be considered allowable 
costs directly related to patient care services.
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    \534\ https://www.cms.gov/Regulations-and-Guidance/Review-Boards/PRRBReview/Downloads/1998D038.pdf.
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    PRM-1, chapter 21, section 2105.5 provides that excess costs for 
executive or management employee meals--such as separate dining 
facilities, additional staff, or upgraded menus--are not allowable. 
However, PRM-1, chapter 21, section 2105.5 sets forth that unrecovered 
costs for executive or management meals served from common menus in 
shared employee dining facilities are allowable if otherwise 
reasonable. Under PRM-1, chapter 21, section 2145, providers may claim 
reasonable unrecovered costs for employee meals in two circumstances 
when meals: (1) qualify as a fringe benefit (see PRM-1, chapter 21, 
section 2144.4E) related to patient care; and (2) are provided solely 
for the provider's benefit and related to patient care, as outlined in 
PRM-1, chapter 21, section 2102.2. For example, this includes meals 
served to personnel who must

[[Page 19744]]

remain on-call on the premises during mealtime to provide patient care, 
where the meal cost is not classified as a fringe benefit.
    We believe the existing manual provisions under PRM-1, chapter 21, 
sections 2105.2, 2105.5 and 2145 should be revised to better align with 
Medicare's reasonable cost principles, including Sec.  413.9. As noted, 
we believe that meals provided to employees or staff of the provider 
would generally be considered a personal benefit to staff rather than a 
direct cost necessary for patient care under Medicare and therefore 
should not be considered allowable costs. For the foregoing reasons, in 
this proposed rule, we are proposing to codify certain longstanding 
policy in PRM-1, chapter 21, section 2102.3 and revise the existing 
policy in sections PRM-1, chapter 21, sections 2105.2, 2105.5, and 
2145.
    Specifically, we are proposing to add Sec.  413.5(c)(16) to specify 
that costs incurred by providers for meals sold to visitors and meals 
for their employees or staff (including executives and management) and 
non-personnel (including attending physicians) are not allowable costs. 
We are also proposing to specify that the costs of meals and 
refreshments provided to attendees at educational events, including 
attendees of OPO-sponsored seminars (with or without continuing 
education credits) are not allowable costs.
3. Clarification and Codification of Cost Allocation Principles
    Medicare's reasonable cost reimbursement principles require correct 
allocation of such costs to arrive at equitable and proper payment for 
services to Medicare beneficiaries. Medicare regulations at 42 CFR 
413.24 require that providers receiving payment on the basis of 
reimbursable cost provide adequate cost data based on their financial 
and statistical records which must be capable of verification by 
qualified auditors, and the cost data must be based on an approved 
method of cost finding.
    Medicare's reasonable cost principles take into account both direct 
and indirect costs of providers of services. Direct costs are costs 
that are specifically identifiable and attributable to an individual 
patient, a particular cost center, or a department.\535\ Examples of 
direct costs are salaries and wages of staff working exclusively in a 
specific department (for example, a nurse in the ICU), medical supplies 
used directly in patient care, medications administered to patients, 
supplies used in specific departments (for example, the operating room 
or radiology department), CAR-T cell biologics administered to 
patients, and organs purchased from organ procurement organizations and 
transplant hospitals for transplant into patients. Indirect costs, on 
the other hand, are costs that are not chargeable based on actual usage 
and must be allocated on a basis of a statistical surrogate (for 
example, square feet, dollar value, FTEs, gross salaries, accumulated 
cost, and costed requisition). Examples of indirect costs are 
administration, rent, depreciation, utilities, housekeeping, 
maintenance, medical records, and employee benefits. Cost finding is 
the process of recasting the data derived from the accounts ordinarily 
kept by a provider to ascertain costs of the various types of services 
furnished to patients by the allocation of direct costs and proration 
of indirect, or overhead, costs.
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    \535\ PRM-1, chapter 23, section 2302.10.
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    Departments within a provider are usually divided into two types: 
(1) those that produce patient care revenue (for example, routine 
services and radiology); and (2) those that do not directly generate 
patient care revenue but are utilized as a service by other departments 
(for example, administration, laundry and linen, housekeeping and 
dietary).\536\ The two types of departments are commonly referred to as 
``revenue-producing cost centers'' and ``nonrevenue-producing cost 
centers.'' \537\ Cost finding employs the computation needed in 
determining the full costs of departments.
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    \536\ PRM-1, chapter 23, section 2306.
    \537\ Id.
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    The Step-Down method of cost finding used by providers for cost 
reporting periods after December 31, 1971, recognizes that services 
rendered by certain nonrevenue-producing departments or centers are 
utilized by certain other nonrevenue-producing centers, as well as by 
the revenue-producing centers.\538\ A provider's general service costs 
(that is, overhead costs) must be properly allocated to all centers 
which they serve, regardless of whether these centers produce revenue, 
to ensure costs for services to Medicare beneficiaries are correctly 
calculated.\539\ This allocation process for Medicare cost reporting 
purposes is made through cost finding using a statistical basis that 
measures the benefit received by each cost center. The statistical 
basis must reflect the cause-and-effect relationship between the cost 
and the activities or services receiving the allocation, that is, the 
benefit received by each cost center.\540\ The statistical measure must 
demonstrate how costs incurred relate to the consumption of 
resources.\541\
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    \538\ 42 CFR 413.24(d) and PRM-1, chapter 23, section 2306.1.
    \539\ PRM-1, chapter 23, section 2307.
    \540\ PRM-1, chapter 23, section 2307.
    \541\ PRM-1, chapter 23, section 2306.
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    The Medicare cost report's (MCR's) recommended statistical bases 
include square footage for facility costs, gross salaries for employee 
benefits, accumulated costs for administrative and general (A&G) costs, 
meals served for dietary, and other bases that distribute costs in 
proportion to the relative benefits received, or resources consumed, by 
each cost center.\542\ When a statistical basis, such as accumulated 
cost improperly includes costs that receive no benefit or resources, 
those costs included in the accumulated cost statistic must not be used 
to allocate cost to a department or cost center.\543\ The MCR provides 
instruction for providers to adjust the accumulated cost statistics 
accordingly.\544\
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    \542\ PRM-2, chapter 40, section 4020.
    \543\ PRM-2, chapter 40, section 4095, Table 3, ECR 
specifications for Worksheet B-1.
    \544\ Id.
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    Including a statistical cost that does not have a beneficial 
relationship to A&G expenses being allocated causes an improper 
distribution of overhead. Section 413.24(b)(1) explains that cost 
finding is the process of recasting the data derived from the accounts 
ordinarily kept by a provider to ascertain costs of the various types 
of services furnished. It is the determination of these costs by the 
allocation of direct costs and proration of indirect costs. Section 
413.24(c) sets forth that adequate cost information must be obtained 
from the provider's records to support payments made for services 
furnished to beneficiaries, and that the provider's cost information 
must be accurate and in sufficient detail to accomplish the purposes 
for which it is intended. Additionally, Sec.  413.24(d)(6) provides 
specific requirements for certain purchased services and how including 
these costs in the accumulated cost statistic when the costs do not 
relate to services or resource provided by the A&G department may cause 
an improper distribution of overhead and could result in improper 
Medicare payment.
    Upon review of cost report data of various provider types, we have 
found that providers are not utilizing the Medicare cost report 
instructions regarding cost allocation,\545\ resulting in providers 
allocating overhead costs imprecisely which could cause inflated

[[Page 19745]]

and improper reimbursement from Medicare. A&G costs can be improperly 
allocated when the statistic, ``accumulated cost,'' is used, resulting 
in an overinflation of the actual benefit or resources provided to 
various departments of the provider. As an example, when services are 
purchased under arrangement, the provider is paying for the complete 
service from an external entity. The provider's A&G cost center does 
not support or benefit these external purchases and there is no 
relationship between the hospital's overhead and the purchased 
services. Some providers are reporting the amounts paid for purchased 
services or products and including them in the accumulated cost 
statistic on their cost report. However, this is not correct. Purchased 
services are already fully costed by the external entity and directly 
assigned to the benefiting department. Including them in the 
accumulated cost statistic improperly allocates the provider's overhead 
to a cost center that already contains the full purchase price of the 
service as well as the entity's overhead costs and profit. For example, 
transplant hospitals that purchase organs from OPOs, and other 
transplant hospitals for transplantation, place the ``purchase cost'' 
for organs in the appropriate organ acquisition cost center. If these 
purchase costs are also included in the accumulated cost statistic used 
to allocate A&G costs, the overhead A&G are improperly shifted, that is 
allocated, to the cost center as well. The amounts paid by the 
transplant hospitals to OPOs or other transplant hospitals for 
purchased organs has increased significantly over the years. This 
increases improper allocation of overhead costs. Another example of 
this is when hospitals purchase CAR T-cell biologicals. The purchase 
price includes costs for the complete process of extracting and 
preparing the biological for infusion. Including these direct costs in 
the accumulated cost statistic would improperly and disproportionately 
allocate overhead to the CAR T-cell cost center without any 
relationship between the hospital's overhead and the purchased 
biological. Including these purchased services, or supplies, in the 
accumulated cost statistic causes overhead A&G costs to shift and be 
allocated from the hospital's cost centers that benefit from A&G to the 
cost reimbursed areas of the hospital without any causal or beneficial 
relationship. In this regard, including in the accumulated cost 
statistic the purchased services, supplies, or products that are 
directly assigned to a department, and that include in the purchase 
price the full cost from the external entity, including overhead and 
profit, results in an improper and excessive allocation of overhead to 
the cost center.
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    \545\ For example, PRM-2, chapter 40, section 4020 for 
hospitals.
---------------------------------------------------------------------------

    When a provider purchases services or supplies and the amount of 
direct costs reported and paid to external entities includes the 
entities' overhead and profit, including these costs in the accumulated 
cost statistic overinflates the allocation and results in improper 
Medicare payment to the provider. In accordance with the MCR 
instructions,\546\ if costs in a cost center or department include 
direct assignment of purchased products, organs, or services, the 
provider must remove the directly assigned costs (purchased costs) from 
its allocation statistic to assure a proper allocation of overhead. 
Purchased services are reported as direct costs and must bypass the 
step-down allocation process. This process ensures appropriate Medicare 
payment and ensures that the provider's cost centers do not receive an 
improper distribution of overhead costs without the overhead cost 
center providing support or a benefit. These longstanding Medicare cost 
finding principles are in accordance with Sec.  413.24(c) and (d) and 
previously have been set forth in the MCR instructions.\547\
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    \546\ PRM 15-2, chapter 40, section 4020.
    \547\ PRM 15-2, chapter 40, section 4020; and section 4095 for 
Worksheet B-1.
---------------------------------------------------------------------------

    Similar issues with overhead allocations may exist for CAHs and 
some CAHs have requested that CMS clarify the cost allocation rules 
with more explicit cost reporting instructions. Because CAHs are 
reimbursed by Medicare at 101 percent of their reasonable costs, they 
may face undesirable financial consequences if their overhead A&G costs 
are improperly allocated on their cost reports. This can occur when 
CAHs improperly allocate their costs to all cost centers or departments 
of the CAH based on the accumulated cost statistic without any causal 
or beneficial relationship. A CAH's costs can be shifted if they 
improperly allocate their costs without a causal relationship, such as 
to areas that do not benefit or are not serviced by overhead cost 
centers. This can impact the CAH's reimbursement if an improper 
allocation of A&G costs reduces the calculation of the CAH's 
operational costs and overall reimbursement.
    We believe that the proper allocation of indirect costs by all 
providers is important in facilitating appropriate Medicare payment. 
Inflated administrative and general costs may inaccurately increase 
provider payment rates resulting in increased Medicare spending.
    As an example, for hospitals, there are longstanding MCR 
instructions in PRM-2, chapter 40, section 4020 when providers use 
accumulated costs as a statistic for allocation. These longstanding 
instructions provide two methods that a provider can use to allocate 
its costs when adjustments are necessary. In this regard, a provider 
can use either method or both methods.
    The first method to adjust the allocation statistic uses a negative 
adjustment of either (a) a negative one (-1) in the accumulated cost 
column to identify the cost center which should be excluded from 
receiving any allocation of A&G costs; or (b) if some of the costs from 
that cost center are to receive A&G costs, by removing in the 
reconciliation column the amount of accumulated costs that are not to 
receive A&G costs to assure that only those costs to receive overhead 
receive the proper allocation. We refer to this method as the Negative 
Adjustment Method in this section. When direct costs are reported in a 
cost center or department that includes purchased services or supplies, 
costs other than the purchased service costs may receive an allocation 
of A&G costs, and the purchased service costs that are not to receive 
A&G must be identified and removed from the allocation statistic using 
the reconciliation column on Worksheet B-1. Including a statistical 
cost which does not relate to the allocation of A&G expenses causes an 
improper distribution of overhead.
    If there are some costs in A&G that may have a causal relationship 
to the purchased service cost, a second method to correct improper 
allocation of overhead is set forth in the MCR instructions and PRM-1, 
chapter 23, section 2307.B., ``Direct Assignment of Costs to Provider 
Components.'' Under this method, to accommodate additional general 
service cost centers, the provider must add additional columns (also 
known as ``components,'' ``fragments,'' or ``subscripts'') to the 
allocation worksheets, to document the step-down of a broad A&G cost 
center into more than one cost center and use a more accurate statistic 
to allocate the costs. We refer to this method as the `Componentizing' 
of the A&G costs. In this regard, the provider establishes multiple A&G 
cost centers to allow for a more granular, accurate allocation to 
ensure that overhead costs are properly assigned to reimbursable 
departments. By establishing multiple A&G cost centers, providers can 
more precisely track and allocate overhead costs based on actual 
resource consumption. For

[[Page 19746]]

example, different administrative functions, such as human resources, 
IT, and facilities management, can be separated and allocated using 
different statistical bases that better reflect their utilization. 
Additionally, detailed cost center structures provide clearer 
documentation of how overhead costs are distributed, ensuring a more 
granular review for providers, auditors, and industry-interested 
parties.
    For providers that desire to change their cost finding methods, 
PRM-1, chapter 23, section 2312 instructs providers to request this 
change from their Medicare contractor. This request must be submitted 
in writing to their contractor 90 days prior to the end of the cost 
reporting period to which the request for change applies. Under section 
2312, the contractor's determination of a provider's request to change 
methods will be furnished to the provider in writing and will be 
considered binding on the provider as of the date of the contractor's 
written notice. Additionally, under section 2312, where the contractor 
approves the provider's request to change methods, the provider must 
use this method for the cost reporting period to which the request 
applies and for all subsequent cost reporting periods, unless the 
contractor approves a subsequent request by the provider to change its 
cost finding methods.
    In this proposed rule, we are proposing to codify these overhead 
cost allocation requirements that are set forth generally in existing 
cost reporting instructions, to ensure that providers' costs of 
providing services to Medicare beneficiaries are correctly calculated. 
We believe this will provide additional clarity to providers so that 
they will correctly allocate overhead costs by ensuring that cost 
statistics are not used to disproportionately allocate costs resulting 
in inappropriate maximizing or minimizing reimbursement to providers.
    Specifically, in this proposed rule we are proposing to add 
413.24(d)(8) to specify that providers must not include a statistical 
cost which does not relate to the allocation of A&G expenses when it 
causes an improper distribution of overhead. For example, when a 
hospital performs organ transplants, it may purchase organs (kidneys, 
hearts, livers) from outside sources such as OPOs. These purchased 
organs carry a very high dollar value but have no causal relationship 
to administrative overhead compared to other hospital services, and 
these purchased organs include all the OPOs overhead in their cost. 
During the step-down cost allocation process on the Medicare Cost 
Report, when purchased organ costs are included in the accumulated cost 
statistic used to allocate Administrative & General (A&G) costs the 
allocation disproportionately allocates cost as seen in this Table 
X.D.-01.
[GRAPHIC] [TIFF OMITTED] TP14AP26.217

    When the purchased organ costs are removed from the accumulated 
cost statistic (as CMS guidelines instruct), the remaining base is 
$8,000,000 and the accumulated cost statistic properly reflects the 
allocation of A&G costs as shown in this Table X.D.-02.
[GRAPHIC] [TIFF OMITTED] TP14AP26.218

    We are also proposing to add 413.24(d)(8)(i) to specify that 
providers must employ either a Negative Adjustment Method, or a 
Fragmenting (Componentizing) A&G Method, or both, to adjust the 
allocation statistic as it relates to accumulated costs to prevent an 
improper allocation of overhead on the MCR.
    We are proposing to add 413.24(d)(8)(ii) to set forth the Negative 
Adjustment Method for accumulated costs to specify that when direct 
costs are reported in a cost center or department that includes 
purchased services or supplies, costs other than the purchased service 
costs may receive an allocation of A&G costs, and the purchased service 
costs that are not to receive A&G must be identified and removed. We 
are also proposing to add

[[Page 19747]]

413.24(d)(8)(ii)(A) to instruct that, on the MCR, in any column using 
accumulated costs as the statistical basis for allocating costs 
providers must identify any cost center that is not to receive an 
allocation by entering a negative 1 (-1) on the appropriate line in the 
accumulated cost column, or by entering the total accumulated cost as a 
negative amount on the appropriate line in the reconciliation column. 
For those cost centers using accumulated costs that are to receive 
partial allocation of costs, we are proposing to instruct providers to 
enter a negative amount for the costs that are to be excluded from the 
statistic on the appropriate line in the reconciliation column.
    We are also proposing to add 413.24(d)(8)(ii)(B) to instruct 
providers that cost centers that are not to receive an allocation must 
not have entries in both the reconciliation and accumulated cost 
columns when the accumulated cost statistic is offset to zero. We are 
also proposing to add 413.24(d)(8)(ii)(C) to instruct providers that, 
for those cost centers that are to receive partial allocation of costs 
for costs other than purchased services, the cost to be excluded from 
the statistic must be reported as a negative amount on the appropriate 
line in the reconciliation column. This will result in entries in both 
the reconciliation column and accumulated cost column simultaneously on 
the same line where a partial accumulated cost statistic is offset.
    In this proposed rule, we are proposing to add 413.24(d)(8)(iii) to 
set forth the Fragmenting (Componentizing) A&G Method, to specify that 
when a provider chooses to fragment, or componentize A&G costs, the 
provider must fragment (that is, subscript), the A&G cost center into 
two or more cost centers using accurate statistics to allocate its 
costs and ensure that overhead costs are accurately assigned to 
departments benefiting from the services provided. When creating 
multiple A&G cost centers, a provider must track and allocate overhead 
expenses based on actual resource consumption.
    In this proposed rule, we are also proposing to add 
413.24(d)(8)(iv) to specify procedures for a provider to request to 
change its cost finding method. We are proposing to add 
413.24(d)(8)(iv)(A) to specify that a provider that wishes to change 
its cost finding method must submit a request to its contractor, in 
writing, 90 days prior to the end of the cost reporting period to which 
the provider's request for change applies. We are also proposing to add 
413.24(d)(8)(iv)(B) to specify that the contractor's determination of a 
provider's request to change methods will be furnished to the provider 
in writing and will be binding on the provider as of the date of the 
contractor's written notice. Finally, we are proposing to add 
413.24(d)(8)(iv)(C) to specify that when the contractor approves the 
provider's request to change methods, the provider must use this method 
for the cost reporting period to which the request applies and for all 
subsequent cost reporting periods, unless the contractor approves a 
subsequent request by the provider to change its cost finding methods.
4. Discretionary CMS Administrator Review of CMS Reviewing Official 
Determination With Respect to Appeals Under 42 CFR 413.420(g) for 
Independent Organ Procurement Organizations and Histocompatibility 
Laboratories
a. Background
    Upon receipt of a provider's cost report, the Medicare contractor 
reviews or audits the cost report, makes any necessary adjustments to 
the provider's Medicare reimbursement for the cost reporting period, 
and finally determines the total amount of reimbursement due the 
provider. This year-end reconciliation of Medicare payment for the 
provider's cost reporting period constitutes a contractor 
determination, as defined in 405.1801(a). Under 42 CFR 405.1801(a)(1) 
and (2), and 405.1803, the contractor must give the provider written 
notice of the contractor determination for the cost period in a notice 
of the total amount of program reimbursement (NPR). The NPR is an 
appealable determination, subject to the jurisdictional and other 
requirements of the statute and regulations.
    Currently, the regulations at 413.420(g) provide that an 
Independent Organ Procurement Organization (IOPO) or a 
Histocompatibility Laboratory (HCL) that is dissatisfied with a 
Medicare contractor's cost report determination may request a hearing 
before a contractor hearing officer if the amount in controversy is 
$1,000 or more, in accordance with the procedures and requirements set 
forth in 42 CFR 405.1811 through 405.1833. Once the contractor hearing 
officer decision is issued, an IOPO, HCL is entitled to obtain review 
by a CMS reviewing official (see 42 CFR 405.1801(b), 405.1833, 
405.1834(b) and (c)). Section 405.1834 currently specifies that the 
designated CMS reviewing official reviews a final decision by the 
contractor hearing officer and then issues a decision on behalf of the 
Administrator (405.1834(a)). The CMS reviewing official, on behalf of 
the Administrator, currently has discretion to take own-motion review 
(that is, review that is not at a request of a party) of a contractor 
hearing officer decision (405.1834(a), (b)(1)(ii), and (d)). The CMS 
reviewing official decision may be reopened and revised by a CMS 
reviewing official in accordance with 405.1885 through 405.1889 (see 
405.1834(f)(1)).
    On May 2, 2023, the CMS Administrator issued Standing Order 2023-1, 
to allow IOPOs and HCLs to request that the Administrator review a CMS 
reviewing official decision and to confirm that the Administrator can 
review a CMS reviewing official decision on his or her own motion. We 
propose these regulatory changes to confirm, clarify, and explicitly 
provide that the Administrator has discretionary authority to review 
CMS reviewing official decisions and contractor hearing officer 
decisions for reimbursement appeals for IOPOs and HCLs. We are doing so 
for several reasons. Among other things, we are proposing these changes 
to provide consistency with other Agency administrative review 
processes, provide clearer notice of this aspect of the administrative 
review procedures applicable to IOPOs and HCLs, ensure that interested 
parties can comment, improve the quality of agency decision making, so 
that the agency may ultimately have clear and publicly available 
regulations regarding administrative review for IOPOs and HCLs on the 
books. These proposals are in many respects similar to the CMS proposal 
to codify the process by which the Administrator may exercise 
discretionary review when CMS de-certifies an OPO or otherwise takes 
action that would be subject to appeal under 42 CFR 486.314.\548\ We 
are also proposing conforming changes to certain appeals regulations, 
as well as proposing certain changes to certain other appeals 
regulations for clarity.
---------------------------------------------------------------------------

    \548\ 91 FR 4190, January 30, 2026.
---------------------------------------------------------------------------

b. Proposals
(1) Proposal for Appeals Available to IOPOs and HCLs
    In this proposed rule, we are proposing to make changes to various 
regulatory provisions to confirm, clarify, and explicitly provide that 
a party to a CMS reviewing official decision may request that the 
Administrator review a CMS reviewing official decision, and that the 
Administrator may review a CMS reviewing official decision on his or 
her own motion, consistent with the

[[Page 19748]]

intent of the Standing Order 2023-01. The proposed changes in this 
proposed rule will afford an opportunity to IOPOs and HCLs that desire 
to have CMS reviewing official decisions further reviewed by the 
Administrator. These proposed changes will also ensure that a principal 
officer of the United States (the CMS Administrator) will have 
discretionary authority to issue a final decision binding the U.S. 
Department of Health and Human Services. These proposed changes will 
also bring the Sec.  413.420(g) appeals process into greater conformity 
with other CMS appeals processes that provide for discretionary 
Administrator review of administrative decisions rendered by agency 
tribunals, agency officials or other individuals. Our proposed changes 
are within the Secretary's general rulemaking authority under sections 
1102 and 1871 of the Act.
    Specifically, in this proposed rule we are proposing to revise 
405.1801(a) so that it states that Administrator review means review 
provided for in section 1878(f) of the Act (42 U.S.C. 1395oo(f)) and 42 
CFR 405.1875 and 405.1834. This proposed change reflects the changes 
that would be made to 405.1834 if this proposed rule is finalized.
    In this proposed rule, we are also proposing to revise 
405.1803(d)(1)(ii) so that it reflects the fact that a final agency 
decision by the Administrator is not just ``as described in Sec.  
405.1875(e)(4),'' but also is as described in 405.1834. This proposed 
change reflects the changes that would be made to 405.1834 if this 
proposed rule is finalized.
    With respect to the required amount in controversy for the right to 
a contractor hearing for IOPOs and HCLs, in this proposed rule, we are 
proposing to revise Sec.  405.1811(a)(2) and Sec.  405.1811(c)(3) to 
specify that IOPOs and HCLs are subject to an amount in controversy as 
set forth in 42 CFR 413.420(g), which is $1,000 or more.
    In this proposed rule, we are also proposing to revise 42 CFR 
405.1813(e)(1) and adding new (e)(1)(i), (e)(1)(ii), and (e)(1)(iii) to 
reflect that a contractor hearing decision denying an extension request 
under this section and dismissing the appeal is final and binding on 
the provider, unless the dismissal decision is reviewed by a CMS 
reviewing official in accordance with 405.1834(b)(2)(i), or the 
Administrator, or is reopened and revised by the contractor hearing 
officer(s) in accordance with 405.1885 through 405.1889. We are also 
proposing to revise 405.1813(e)(2) to specify that the contractor 
hearing officer(s) promptly sends the decision to the appropriate 
component of CMS (currently the Center for Medicare). We are also 
proposing to add new 405.1813(e)(3), (e)(3)(i), and (e)(3)(ii) to 
reflect that a contractor hearing officer's decision granting an 
extension request is not subject to immediate review by a CMS reviewing 
official (as described in 405.1834(b)(3)), and any decision granting an 
extension request may be examined during the course of a CMS reviewing 
official's review of a final jurisdictional dismissal decision or a 
final hearing decision by the contractor hearing officer(s) (as 
described in 405.1834(b)(2)(i) and (ii)) or during the Administrator's 
review of a CMS reviewing official decision.
    In this proposed rule, we are also proposing to revise 
405.1814(a)(5) to reflect that final jurisdictional findings and 
jurisdictional dismissal decisions by the contractor hearing officer(s) 
are subject to the CMS reviewing official procedure in accordance with 
405.1814(d) and 405.1834(b)(2)(i), and (ii), as well as the possibility 
of review by the Administrator. We are also proposing to revise 
405.1814(c)(3) by adding paragraphs (i), (ii) and (iii) to reflect that 
a jurisdictional dismissal decision by the contractor hearing officer 
under 405.1814(c)(2) is final and binding on the parties, unless the 
decision is reviewed by a CMS reviewing official in accordance with 
405.1834, or is subsequently reviewed by the Administrator in 
accordance with 405.1834, or is reopened and revised by the contractor 
hearing officer in accordance with 405.1885 through 405.1889.
    In this proposed rule we are also proposing to revise the title of 
405.1814(d) so that it would refer to jurisdictional decisions and 
include the possibility of Administrator review. We are proposing to 
revise 405.1814(d) so that it states that any finding by the contractor 
hearing officer as to whether he or she has jurisdiction to grant a 
hearing on a specific matter at issue in an appeal is not subject to 
further administrative review, except as provided in 405.1814(d). The 
revised subsection will also explain that a contractor hearing 
officer's jurisdictional findings as to specific matters at issue in an 
appeal may be reviewed solely during the course of the CMS reviewing 
official review of one of the contractor hearing officer decisions 
specified in 405.1834(b)(2), or during the course of the 
Administrator's review of a CMS reviewing official decision.
    Regarding the reviewability of a contractor hearing officer's 
discovery or disclosure rulings, in this proposed rule we are also 
proposing to revise 405.1821(d)(2) to specify that to the extent a 
ruling authorizes discovery or disclosure of a matter for which an 
objection based on privilege or other protection from disclosure such 
as case preparation, confidentiality, or undue burden, was made before 
the contractor hearing officer(s), that portion of the discovery or 
disclosure ruling may immediately be reviewed by a CMS reviewing 
official or the Administrator in accordance with 405.1834. We are also 
proposing to revise 405.1821(d)(2)(i) to remove the phrase ``the 
Administrator through'' so it reflects that upon notice to the 
contractor hearing officer that the provider intends to seek immediate 
review of a ruling, or that the contractor or other affected nonparty 
intends to suggest that the CMS reviewing official or the 
Administrator, take own motion review of the ruling, the contractor 
hearing officer stays all proceedings affected by the ruling. To 
conform with this proposal, we are also proposing to revise the 
introductory text of 405.1821(d)(2)(iii) to delete the words 
``Administrator through the,'' so that the first line states ``If the 
CMS reviewing official or the Administrator . . .''
    Regarding the effect of a contractor hearing officer's decision, in 
this proposed rule we are also proposing to amend 405.1833 by adding 
paragraphs (a), (a)(1), (a)(2) so that they reflect that a contractor 
hearing officer's decision issued in accordance with 405.1831 is final 
and binding on all parties to the contractor hearing and on the 
contractor, unless the contractor hearing officer's decision is 
reviewed by a CMS reviewing official, or is reviewed by a CMS reviewing 
official and then is in turn reviewed by the Administrator in 
accordance with 405.1834, or is reopened and revised by the contractor 
hearing officer(s) in accordance with 405.1885 through 405.1889. We are 
also proposing to amend 405.1833 by adding paragraph (b) to specify 
that final contractor hearing decisions are subject to the provisions 
of 405.1803(d).
    In this proposed rule, we are also proposing to revise the section 
heading of 405.1834 so that it references the possibilities of and 
procedures for review by the CMS reviewing official and Administrator 
review of a reviewing official decision. We are also proposing to 
revise 405.1834(a) so that it no longer states that a review of a 
contractor hearing officer is conducted ``on behalf of the 
Administrator'' by a designated CMS reviewing official, and no longer 
indicates that the CMS reviewing official issues a decision ``on behalf 
of the Administrator.'' We are proposing that 405.1834(a) states that 
CMS or a provider that is a party to, and

[[Page 19749]]

dissatisfied with, a final decision by the contractor hearing 
officer(s), upon submitting a request that meets the requirements of 
405.1834(c), is entitled to further administrative review of the 
decision by a CMS reviewing official, and that the decision may be 
reviewed at the discretion of first a designated CMS reviewing official 
and discretionary review by the Administrator. Additionally, we are 
proposing to revise 405.1834(a) so that it states that the review of a 
contractor hearing officer's decision is conducted first by a 
designated CMS reviewing official who considers whether the decision of 
the contractor hearing officer(s) is consistent with the controlling 
legal authority (as described in 405.1834(e)(1)) and the evidence in 
the record, and that the CMS reviewing official's decision may then be 
subject to further discretionary review by the Administrator.
    We are also proposing to revise the general rules in 
405.1834(b)(1)(ii) to specify that the CMS reviewing official exercises 
this review authority in response to a request from a provider party to 
the appeal that meets the requirements of 405.1834(c), or in response 
to a request from CMS, or may exercise his or her discretion to take 
own motion review. Additionally, we are proposing to revise the general 
rules in 405.1834(b)(4) to require the contractor hearing officer(s) to 
promptly send copies of any decision specified in 405.1834(b)(2) or 
(3), or in 405.1821(d)(2) and the underlying contractor hearing 
officer's administrative record to the appropriate component of CMS 
(currently the Center for Medicare). We are also proposing to revise 
Sec.  405.1834(b)(4)(ii) to specify that the appropriate CMS component 
examines each contractor hearing officer decision that is reviewable 
under 405.1834(b)(2) or (3), or 405.1821(d)(2), along with any review 
requests and any other submissions made by a party or CMS in accordance 
with 405.1834, in order to assist the CMS reviewing official's and the 
Administrator's exercise of this review authority.
    To correct a typographical error in 405.1834(c) regarding the 
granting of a provider's request for review by a CMS reviewing 
official, we are proposing to revise 405.1834(c)(1)(i) to change the 
word from ``or'' to ``and'' at the end of 405.1834(c)(1)(i). This 
proposed revision would reflect that a provider's request for review by 
a CMS reviewing official is granted if 405.1834(c)(1)(i) and 
405.1834(c)(1)(ii) are met by requiring that the date of receipt by the 
appropriate CMS component of the review request is no later than 60 
days after the date of receipt by the provider of the contractor 
hearing officer decision; and the request seeks review of a decision 
listed in 405.1834(b)(2), and the provider complies with the 
requirements of 405.1834(c)(2).
    Regarding a request for immediate review of a contractor hearing 
officer ruling authorizing discovery or disclosure, we are proposing to 
revise 405.1834(c)(3) and (c)(3)(i) to specify that a request from a 
party or CMS for immediate review of a contractor hearing officer 
ruling authorizing discovery or disclosure in accordance with 
405.1834(b)(3) must be made as soon as practicable after the ruling is 
made, but in no event later than 5 business days after the date the 
requesting party or CMS received notice of the ruling.
    To reorganize and house the provisions together in 405.1834(d) for 
the own motion review of a CMS reviewing official, in this proposed 
rule, we are proposing to revise the paragraph title of 405.1834(d) so 
that it states ``Own motion review of a CMS reviewing official.'' We 
are also proposing to revise 405.1834(d)(1) to reflect that the CMS 
reviewing official has discretion to take own motion review of a 
contractor hearing decision (regardless of whether the decision was 
favorable or unfavorable to the provider) or other reviewable action. 
We are also proposing to add new 405.1834(d)(4) to specify that if the 
CMS reviewing official does not notify the parties and the contractor 
that he or she intends to review the contractor hearing officer 
decision or other reviewable action within 90 days after the date of 
the contractor hearing officer's decision, then the Administrator may 
issue a notice instructing the CMS reviewing official to review the 
contractor hearing officer decision and issue a decision if the CMS 
reviewing official fails to do so. Additionally, we are proposing to 
add new 405.1834(d)(4)(i) to specify that the Administrator shall 
promptly provide copies of the notice instructing the CMS reviewing 
official to review the contractor hearing officer decision to the 
parties, the contractor, and to the appropriate component of CMS. We 
are proposing to add new 405.1834(d)(4)(ii) to specify that after the 
CMS reviewing official's receipt of the Administrator's notice 
(instructing the CMS reviewing official to review the contractor 
hearing officer decision and issue a decision), the CMS reviewing 
official must allow the parties a reasonable period to comment on the 
issues identified by the Administrator for review. Finally, we are 
proposing to add new 405.1834(d)(5) to specify that if no party 
requests review of the contractor hearing decision and the CMS 
reviewing official does not take review on its own motion or at the 
direction of the Administrator within the time periods specified in 
405.1834(d), the contractor hearing officer decision is final in 
accordance with 405.1833.
    Regarding the reviewing official's review procedures for contractor 
hearing officer's decisions, in this proposed rule, we are proposing to 
revise the introductory text in 405.1834(e)(1) to state ``In reviewing 
a contractor hearing officer decision specified in paragraph (b)(2) or 
(b)(3) of this section, the CMS reviewing official must--.'' We are 
also proposing to revise 405.1834(e)(3) to specify that upon completion 
of the review of a contractor hearing decision in 405.1834(b)(2) or 
405.1834(b)(3), the CMS reviewing official issues a written decision 
that includes findings of fact and conclusions of law on jurisdictional 
issues and on the merits of each issue under review over which the CMS 
reviewing official has jurisdiction and affirms, reverses, or modifies 
the contractor hearing decision or remands the contractor hearing 
decision to the contractor hearing officer for further proceedings. A 
copy of the decision must be sent promptly to each party, to the 
contractor, and to the appropriate component of CMS (currently the 
Center for Medicare).
    To reflect the possibility of Administrator review of a reviewing 
official's decision, in this proposed rule, we are proposing to revise 
405.1834(f) from ``Effect of a decision: Remand'' to ``Effect of a 
reviewing official's decision, remand, and the possibility of 
Administrator review.'' We are also proposing to revise 405.1834(f)(1) 
to specify that a decision of affirmation, reversal, or modification by 
the CMS reviewing official is final and binding on each party and the 
contractor except as set forth in 405.1834(g). The CMS reviewing 
official's decision may be reopened and revised by the CMS reviewing 
official in accordance with 405.1885 through 405.1889. Decisions of a 
CMS reviewing official are subject to the provisions of 405.1803(d). A 
decision by a CMS reviewing official remanding an appeal to the 
contractor hearing officer(s) for further proceedings under 
405.1834(f)(2) is not a final decision.
    We are also proposing to revise the introductory text of 
405.1834(f)(2) to state ``A remand to the contractor hearing officer(s) 
by the CMS reviewing official must do all of the following:''
    In this proposed rule, we are also proposing to add 405.1834(f)(3) 
to

[[Page 19750]]

specify that the CMS reviewing official must promptly send copies of 
the CMS reviewing official decision, along with any other submissions 
made by a party or CMS in accordance with the provisions of this 
section, to the appropriate component of CMS (currently the Center for 
Medicare) and to the Administrator c/o the CMS Office of the Attorney 
Advisor.
    In this proposed rule, we are also proposing to add new paragraph 
(g) entitled ``Administrator review of a CMS reviewing official's 
decision'' to 405.1834 to further specify and elaborate on the 
procedures for the Administrator's review of a CMS reviewing official's 
decision. Specifically, we are proposing to add 405.1834(g)(1) to 
specify that CMS or any party to a CMS reviewing official decision may 
request Administrator review of a CMS reviewing official decision in 
accordance with 405.1834. No other provider, individual, or entity may 
request review. The Administrator may grant or deny review of a CMS 
reviewing official decision at his or her discretion. The Administrator 
may also review any decision of the CMS reviewing official on his or 
her own motion (regardless of whether the decision was favorable or 
unfavorable to the provider). In this proposed rule, we are also 
proposing to add 405.1834(g)(2) to specify that a party, or CMS may 
request that the Administrator review a CMS reviewing official decision 
within 15 days of their receipt of a final CMS reviewing official 
decision. See 42 CFR 405.1801 (defining the term ``date of receipt.''). 
We are also proposing to add 405.1834(g)(2)(i) to specify that all 
requests for Administrator review and any other submissions to the 
Administrator under 405.1834(g)(2) must be sent to the Office of the 
Attorney Advisor. The request for review must be in writing, attach a 
copy of the CMS reviewing official decision for which it seeks review, 
and include a brief description of all of the following: those aspects 
of the CMS reviewing official decision with which the requestor is 
dissatisfied; the reasons for the requestor's dissatisfaction; any 
argument or record evidence the requestor believes supports its 
position; and any additional, extra-record evidence relied on by the 
provider, along with a demonstration that such evidence was improperly 
excluded in proceedings (as described in Sec.  405.1823).
    In this proposed rule, we are also proposing to add 
405.1834(g)(2)(ii) to specify that the Administrator must issue a 
Notice advising the parties of his or her intent to review or to 
decline to review within 30 days of the Administrator's receipt of a 
request for review from CMS or any party to the CMS reviewing 
official's decision. That Notice must be promptly sent to the parties, 
the contractor, and the appropriate component of CMS. A Notice advising 
the parties of the Administrator's intent to review must contain a 
brief statement of the issues under ``review and solicit comments from 
the parties, the contractor, and CMS. A Notice that the Administrator 
is declining to review need not set forth the basis for the 
Administrator's decision to decline review the CMS reviewing official's 
decision. We are also proposing to add 405.1834(g)(2)(iii) to specify 
that if the Administrator declines to review the reviewing official 
decision or the Administrator does not issue a determination regarding 
review of the reviewing official decision within 30 days of the 
Administrator's receipt of a request to review, the decision of the CMS 
reviewing official is final. We are also proposing that 
405.1834(g)(2)(iii) specify that upon issuance of a Notice, within 30 
days of a request for Administrator review of a CMS reviewing official 
decision, that the Administrator is declining to review the reviewing 
official's decision, the CMS reviewing official's decision becomes 
final in accordance with 405.1834(f)(1).
    In this proposed rule, we are also proposing to add 405.1834(g)(3) 
to specify that within 45 days of Administrator's receipt of a CMS 
reviewing official's decision, the Administrator may issue a Notice of 
Review on his or her own motion. The Notice of Review must be sent to 
the parties, the contractor, and the appropriate component of CMS. The 
Notice of Review must contain a brief statement of the issues under 
review and solicit comments from the parties, contractor, and CMS. If 
the Administrator does not issue a determination regarding his or her 
own motion review within 45 days of the Administrator's receipt of a 
CMS reviewing official's decision, the decision of the CMS reviewing 
official is final.
    In this proposed rule, we are also proposing to add 405.1834(g)(4), 
(g)(4)(i) and (g)(4)(ii) to set forth that if the Administrator elects 
to review the CMS reviewing official's decision, the Administrator will 
set deadlines for the parties and affected nonparties to submit 
comments; and the Administrator's decision affirming, reversing, or 
modifying the CMS reviewing official's decision is final and binding on 
each party and the contractor. A decision remanding an appeal to the 
CMS reviewing official, contractor hearing officer(s) is not a final 
decision. Decisions of the Administrator are subject to the provisions 
of 405.1803(d).
    In this proposed rule, we are also proposing to add 405.1834(g)(5) 
to specify that if the Administrator does not issue a written decision 
that affirms, reverses, modifies or remands the CMS reviewing 
official's decision within 60 days of the date of issuance of the 
Notice of Review, the CMS reviewing official's decision becomes final 
in accordance with 405.1834(f)(1). We are also proposing to add 
405.1834(g)(6) to specify that the Administrator may remand the CMS 
reviewing official's decision to the CMS reviewing official, to the 
contractor hearing officer, or to the contractor. A remand by the 
Administrator must do all of the following: vacate the CMS reviewing 
official's and/or the contractor hearing officer decisions as to the 
specific issues remanded; be governed by the same criteria that apply 
to remands by the Administrator to the Board under 405.1875(f)(2), and 
require the entity to which the matter is remanded to take specific 
actions on remand; and result in the CMS reviewing official, contractor 
hearing officer(s), or contractor taking the actions required on remand 
and issuing a new decision.
(2) Technical and Conforming Changes at 413.420(g)
    Consistent with the proposals in section X.D.4.b.(1). of the 
preamble of this proposed rule, we are proposing conforming revisions 
to the current regulations at 413.420(g) for appeals pertaining to 
IOPOs and HCLs. Specifically, we are proposing to revise 413.420(g) to 
reflect that if the amount in controversy is $1,000 or more, any IOPO 
or histocompatibility laboratory that disagrees with a contractor's 
cost determination is entitled to a contractor hearing, review of the 
contractor hearing by a CMS reviewing official, and discretionary 
Administrator Review of a CMS reviewing official decision, in 
accordance with the procedures set forth in 405.1801(b)(2) and 405.1811 
through 405.1834.
(3) Effective Dates
    In this proposed rule, we are proposing that these proposed 
provisions will apply to administrative appeals that were timely filed 
with a contractor hearing officer on or after the effective date of 
this rule, under 405.1811 and 405.1834, and/or that are pending before 
a contractor hearing officer or a CMS reviewing official on the 
effective date of the rule. With

[[Page 19751]]

respect to requests for good cause extensions under 405.1813 (for 
contractor hearing officer hearings), IOPOs and HCLs that have not 
filed a timely request for a contractor hearing and that wish to seek 
an extension of the time limit for filing an appeal based on good 
cause, have an additional 60 days after the effective date of this rule 
to seek an extension without meeting the ``reasonable time'' 
requirements of 405.1813 (but must meet all other requirements of that 
section).
5. Technical Corrections and Clarifications of 412.116(c) and 
413.404(b)(3)(ii)(A) and (C)
    In this proposed rule, we are proposing to make several technical 
corrections or clarifications to the regulatory text, which are 
unrelated to any of the other proposals in section X.D. of the preamble 
of this proposed rule.
    We propose to make a technical correction to 412.116(c), to change 
``kidney'' to ``organ.'' This correction should have been made in our 
FY 2022 IPPS/LTCH PPS final rule, with comment period (86 FR 73468 
through 73505), but was overlooked.
    We propose to make a technical correction to 413.404(b)(3)(ii)(A) 
to clarify in the definition of a deceased donor SAC that the deceased 
donor SAC is an average organ acquisition cost that a TH incurs to 
procure an organ from a deceased donor. The existing regulation omits 
the phrase ``organ acquisition.'' This proposed language also mirrors 
the language that defines the living donor SAC.
    We propose to make a technical correction to 413.404(b)(3)(ii)(C), 
which inadvertently omitted registry fees from the costs that 
transplant hospital may use to develop the deceased donor SAC. In the 
FY 2022 IPPS/LTCH PPS final rule (86 FR73477 and 73478), we included 
registry fees in the allowable organ acquisition costs used in 
developing transplant hospital living donor SACs, but inadvertently 
omitted registry fees from the allowable acquisition costs used to 
develop the transplant hospital deceased donor SACs. Registry fees 
would be incurred by transplant hospitals for every potential 
transplant recipient on their waitlist. Therefore, we propose to add 
413.404(b)(3)(ii)(C)(8), to the allowable costs used to develop the 
deceased donor TH SAC, to include registry fees as specified at 
413.402(b)(6).

XI. MedPAC Recommendations and Publicly Available Files

A. MedPAC Recommendations

    Under section 1886(e)(4)(B) of the Act, the Secretary must consider 
MedPAC's recommendations regarding hospital inpatient payments. Under 
section 1886(e)(5) of the Act, the Secretary must publish in the annual 
proposed and final IPPS rules the Secretary's recommendations regarding 
MedPAC's recommendations. We have reviewed MedPAC's March 2026 ``Report 
to the Congress: Medicare Payment Policy'' and have given the 
recommendations in the report consideration in conjunction with the 
policies set forth in this proposed rule. MedPAC recommendations for 
the IPPS for FY 2027 are addressed in Appendix B to this proposed rule.
    For further information relating specifically to the MedPAC reports 
or to obtain a copy of the reports, contact MedPAC at (202) 653-7226, 
or visit MedPAC's website at https://www.medpac.gov.

B. Publicly Available Files

    IPPS-related data are available on the internet for public use. The 
data can be found on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index. Following is 
a listing of the IPPS-related data files that are available.
    Commenters interested in discussing any data files used in 
construction of this proposed rule should contact Michael Treitel at 
(410) 786-4552.
1. CMS Wage Data Public Use File
    This file contains the hospital hours and salaries from Worksheet 
S-3, parts II and III from FY 2023 Medicare cost reports used to create 
the proposed FY 2027 IPPS wage index. Multiple versions of this file 
are created each year. For a discussion of the release of different 
versions of this file, we refer readers to section III.C.4. of the 
preamble of this proposed rule.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Wage-Index-Files.html.
    Periods Available: FY 2007 through FY 2027 IPPS Update.
2. CMS Occupational Mix Data Public Use File
    This file contains the CY 2022 occupational mix survey data to be 
used to compute the occupational mix adjusted wage indexes. Multiple 
versions of this file are created each year. For a discussion of the 
release of different versions of this file, we refer readers to section 
III.C.4 of the preamble of this proposed rule.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Wage-Index-Files.html.
    Period Available: FY 2027 IPPS Update.
3. Provider Occupational Mix Adjustment Factors for Each Occupational 
Category Public Use File
    This file contains each hospital's occupational mix adjustment 
factors by occupational category. Two versions of these files are 
created each year to support the rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Wage-Index-Files.html.
    Period Available: FY 2027 IPPS Update.
4. Other Wage Index Files
    CMS releases other wage index analysis files after each proposed 
and final rule.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Wage-Index-Files.html.
    Periods Available: FY 2005 through FY 2027.
5. FY 2027 IPPS FIPS CBSA State and County Crosswalk
    This file contains a crosswalk of State and county codes used by 
the Federal Information Processing Standards (FIPS), county name, and a 
list of Core Based Statistical Areas (CBSAs).
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the FY 2027 proposed rule home 
page or the FY 2027 final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Period Available: FY 2027 IPPS Update.
6. HCRIS Cost Report Data
    The data included in this file contain cost reports with fiscal 
years ending on or after September 30, 1996. These data files contain 
the highest level of cost report status.
    Media: internet at https://www.cms.gov/Research-Statistics-Data-

[[Page 19752]]

and-Systems/Downloadable-Public-Use-Files/Cost-Reports/Cost-Reports-by-
Fiscal-Year.
    (We note that data are no longer offered on a CD. All of the data 
collected are now available free for download from the cited website.)
7. Provider-Specific File
    This file is a component of the PRICER program used in the MAC's 
system to compute DRG/MS-DRG payments for individual bills. The file 
contains records for all prospective payment system eligible hospitals, 
including hospitals in waiver States, and data elements used in the 
prospective payment system recalibration processes and related 
activities. Beginning with December 1988, the individual records were 
enlarged to include pass-through per diems and other elements.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ProspMedicareFeeSvcPmtGen/psf_text.
    Period Available: Quarterly Update.
8. CMS Medicare Case-Mix Index File
    This file contains the Medicare case- mix index by provider number 
based on the MS-DRGs assigned to the hospital's discharges using the 
GROUPER version in effect on the date of the discharge. The case-mix 
index is a measure of the costliness of cases treated by a hospital 
relative to the cost of the national average of all Medicare hospital 
cases, using DRG/MS-DRG weights as a measure of relative costliness of 
cases. Two versions of this file are created each year to support the 
rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html, or for the more recent data files, https://www.cms.gov/
Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Index.html 
(on the navigation panel on the left side of page, click on the 
specific fiscal year proposed rule home page or fiscal year final rule 
home page desired).
    Periods Available: FY 1985 through FY 2027.
9. MS-DRG Relative Weights (Also Table 5--MS-DRGs)
    This file contains a listing of MS-DRGs, MS-DRG narrative 
descriptions, relative weights, and geometric and arithmetic mean 
lengths of stay for each fiscal year. Two versions of this file are 
created each year to support the rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html, or for the more recent data files, https://www.cms.gov/
Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Index.html 
(on the navigation panel on the left side of page, click on the 
specific fiscal year proposed rule home page or the fiscal year final 
rule home page desired).
    Periods Available: FY 2005 through FY 2027 IPPS Update.
10. IPPS Payment Impact File
    This file contains data used to estimate payments under Medicare's 
hospital inpatient prospective payment systems for operating and 
capital-related costs. The data are taken from various sources, 
including the Provider-Specific File, HCRIS Cost Report Data, MedPAR 
Limited Data Sets, and prior impact files. The data set is abstracted 
from an internal file used for the impact analysis of the changes to 
the prospective payment systems published in the Federal Register. Two 
versions of this file are created each year to support the rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Historical-Impact-Files-for-FY-1994-through-Present, or for the more recent data files, https://
www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/
AcuteInpatientPPS/Index.html (on the navigation panel on the left side 
of page, click on the specific fiscal year proposed rule home page or 
fiscal year final rule home page desired).
    Periods Available: FY 1994 through FY 2027 IPPS Update.
11. AOR/BOR File
    This file contains data used to develop the MS-DRG relative 
weights. It contains mean, maximum, minimum, standard deviation, and 
coefficient of variation statistics by MS-DRG for length of stay and 
standardized charges. The BOR file are ``Before Outliers Removed'' and 
the AOR file is ``After Outliers Removed.'' (Outliers refer to 
statistical outliers, not payment outliers.) Two versions of this file 
are created each year to support the rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html, or for the more recent data files, https://www.cms.gov/
Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Index.html 
(on the navigation panel on the left side of page, click on the 
specific fiscal year proposed rule home page or fiscal year final rule 
home page desired).
    Periods Available: FY 2005 through FY 2027 IPPS Update.
12. Prospective Payment System (PPS) Standardizing File
    This file contains information that standardizes the charges used 
to calculate relative weights to determine payments under the hospital 
inpatient operating and capital prospective payment systems. Variables 
include wage index, cost-of-living adjustment (COLA), case-mix index, 
indirect medical education (IME) adjustment, disproportionate share, 
and the Core- Based Statistical Area (CBSA). The file supports the 
rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the FY 2027 proposed rule home 
page or the FY 2027 final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Period Available: FY 2027 IPPS Update.
13. MS-DRG Relative Weights Cost Centers File
    This file provides the lines on the cost report and the 
corresponding revenue codes that we used to create the 19 national cost 
center cost-to-charge ratios (CCRs) that we used in the relative weight 
calculation.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the FY 2027 proposed rule home 
page or the FY 2027 final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Period Available: FY 2027 IPPS Update.
14. Hospital Readmissions Reduction Program Supplemental File
    The Hospital Readmissions Reduction Program Supplemental File is 
only available and updated for the final rule, when the most recent 
data is available. Therefore, we refer readers to the FY 2026 IPPS/LTCH 
PPS final rule supplemental file, which has the most recent finalized 
payment adjustment factor components and is the same data as would have 
been used to create the FY 2027 IPPS/LTCH PPS proposed rule 
supplemental file.

[[Page 19753]]

    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the FY 2027 proposed rule home 
page or the FY 2027 final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Period Available: FY 2027 IPPS Update.
15. Medicare Disproportionate Share Hospital (DSH) Supplemental File
    This file contains information on the calculation of the 
uncompensated care payments for DSH-eligible hospitals as well as the 
supplemental payments for eligible IHS and Tribal hospitals and 
hospitals located in Puerto Rico for FY 2027. Variables include the 
data used to determine a hospital's share of uncompensated care 
payments, total uncompensated care payments, estimated per-claim 
uncompensated care payment amounts, and if applicable, supplemental 
payment amounts. The file supports the rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the FY 2027 proposed rule home 
page or the FY 2027 final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Period Available: FY 2027 IPPS Update.
16. New Technology Thresholds File
    This file contains the cost thresholds by MS-DRG that are generally 
used to evaluate applications for new technology add-on payments for 
the fiscal year that follows the fiscal year that is otherwise the 
subject of the rulemaking. (As discussed in section II.G. of this 
proposed rule, we use the proposed threshold values associated with the 
proposed rule for that fiscal year to evaluate the cost criterion for 
applications for new technology add-on payments and previously approved 
technologies that may continue to receive new technology add-on 
payments, if those technologies would be assigned to a proposed new MS-
DRG for that same fiscal year.) Two versions of this file are created 
each year to support rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the applicable fiscal year's 
proposed rule or final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Periods Available: FY 2025 through FY 2028 applications.

XII. Collection of Information Requirements

A. Statutory Requirement for Solicitation of Comments

    Under the Paperwork Reduction Act of 1995 (PRA), 44 U.S.C. 3501-
3520, we are required to provide notice in the Federal Register and 
solicit public comment before a collection of information requirement 
is submitted to the Office of Management and Budget (OMB) for review 
and approval. To fairly evaluate whether an information collection 
should be approved by OMB, 44 U.S.C. 3506(c)(2)(A) requires that we 
solicit comment on the following issues:
     The need for information collection and its usefulness in 
carrying out the proper functions of our agency.
     The accuracy of our estimate of the information collection 
burden.
     The quality, utility, and clarity of the information to be 
collected.
     Recommendations to minimize the information collection 
burden on the affected public, including automated collection 
techniques.
    In this proposed rule, we are soliciting public comment on each of 
these issues for the following sections of this document that contain 
information collection requirements (ICRs). The following ICRs are 
listed in the order of appearance within the preamble (see sections II. 
through XI. of the preamble of this proposed rule).

B. Collection of Information Requirements

1. ICRs for the Hospital Readmissions Reduction Program
    In section V.I. of the preamble of this proposed rule, we discuss 
our proposed updates to the Hospital Readmissions Reduction Program. 
Specifically, in this proposed rule, we propose to adopt the Hospital 
30-Day, All-Cause, Risk-Standardized Readmission Rate Following Sepsis 
Hospitalization measure beginning with the FY 2029 program year. 
Because this measure is calculated using Medicare administrative data 
(Medicare Fee-for-Service Part A and Part B claims, hospital-submitted 
Medicare Advantage (MA) claims and MA encounter data) that are already 
reported to the Medicare program for payment purposes under OMB control 
number 0938-1197 (expiration date October 31, 2027), and MA 
Organization-submitted encounter data already collected by CMS under 
OMB control number 0938-1152 (expiration date July 31, 2027), adopting 
this measure would not result in any change in information collection 
burden.
2. ICRs for the Hospital Value-Based Purchasing Program
    In section V.J. of the preamble of this proposed rule, we discuss 
our proposed updates to the Hospital Value-Based Purchasing Program. 
Specifically, we propose to modify the Hospital 30-Day, All-Cause, 
Risk-Standardized Mortality Rate Following Acute Myocardial Infarction 
Hospitalization, Hospital 30-Day, All-Cause, Risk-Standardized 
Mortality Rate Following Heart Failure Hospitalization, Hospital 30-
Day, All-Cause, Risk-Standardized Mortality Rate Following Pneumonia 
Hospitalization, Hospital 30-Day, All-Cause, Risk-Standardized 
Mortality Rate Following Chronic Obstructive Pulmonary Disease 
Hospitalization, and Hospital 30-Day, All-Cause, Risk-Standardized 
Mortality Rate Following Coronary Artery Bypass Graft Surgery measures 
beginning with the July 1, 2028-June 30, 2030 performance period, 
associated with the FY 2032 payment determination. The proposed 
modifications would include adding Medicare Advantage (MA) 
beneficiaries into the patient cohorts and modifying the applicable 
performance period from a 3-year period to a 2-year period.
    The five measures we are proposing to modify currently use data 
that are collected using Medicare Fee-for-Service claims that hospitals 
are already submitting to the Medicare program for payment purposes 
under OMB control number 0938-1197 (expiration date October 31, 2027); 
therefore, there is no additional information collection burden 
regarding the modification of the applicable performance period. We 
also do not anticipate any change in burden associated with the 
proposed modification to add MA beneficiaries into the measure cohorts. 
As proposed, the measure would use MA encounter data already collected 
by CMS under OMB control number 0938-1152 (expiration date July 31, 
2027) to determine cohort inclusion criteria, complications outcomes, 
and present on admission comorbidities. We discuss the burden 
associated with the proposals to adopt these measures under the 
Hospital Inpatient Quality Reporting Program in section XII.B.4.c. of 
the preamble of this proposed rule.

[[Page 19754]]

3. ICRs for the Hospital-Acquired Condition Reduction Program
    OMB has currently approved 28,840 hours of burden and approximately 
$1.5 million under OMB control number 0938-1352 (expiration date 
November 30, 2027), accounting for information collection burden 
experienced by 400 subsection (d) hospitals selected for validation 
each year in the Hospital-Acquired Condition Reduction Program. We are 
not making any proposals or updates for the Hospital-Acquired Condition 
Reduction Program in this proposed rule.
4. ICRs for the Hospital Inpatient Quality Reporting Program
a. Background
    Data collection for the Hospital Inpatient Quality Reporting 
Program is associated with OMB control number 0938-1022 (expiration 
date December 31, 2028), under which OMB has currently approved 
1,351,632 hours of burden at a cost of approximately $73.7 million, 
accounting for information collection burden experienced by 
approximately 3,050 IPPS hospitals and 1,500 non-IPPS hospitals for the 
FY 2028 payment determination. In this proposed rule, we describe the 
burden changes regarding collection of information, under OMB control 
number 0938-1022.
    For more detailed information on our proposals for the Hospital 
Inpatient Quality Reporting Program, we refer readers to sections IX.B. 
and IX.C. of the preamble of this proposed rule. We are proposing to 
adopt three new measures: (1) the Advance Care Planning electronic 
clinical quality measures (eCQM) beginning with the CY 2028 reporting 
period/FY 2030 payment determination; (2) the Hospital Harm-
Postoperative Venous Thromboembolism (VTE) eCQM beginning with the CY 
2028 reporting period/FY 2030 payment determination; and (3) the Excess 
Days in Acute Care After Hospitalization for Diabetes measure beginning 
with the July 1, 2025 through June 30, 2027 performance period, 
associated with the FY 2029 payment determination. We are also 
proposing to adopt five mortality measures for the July 1, 2024 through 
June 30, 2026 performance period, associated with the FY 2028 payment 
determination, through the July 1, 2027 through June 30, 2029 
performance period, associated with the FY 2031 payment determination: 
(1) the Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate 
Following Acute Myocardial Infarction (AMI) Hospitalization measure; 
(2) the Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate 
Following Heart Failure (HF) Hospitalization measure beginning; (3) the 
Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate Following 
Pneumonia Hospitalization measure; (4) the Hospital 30-Day, All-Cause, 
Risk-Standardized Mortality Rate Following Chronic Obstructive 
Pulmonary Disease (COPD) Hospitalization measure; and (5) the Hospital 
30-Day, All-Cause, Risk-Standardized Mortality Rate Following Coronary 
Artery Bypass Graft (CABG) Surgery measure. We are also proposing to 
modify three measures beginning with the July 1, 2024 through June 30, 
2026 performance period, associated with the FY 2028 payment 
determination: (1) the Excess Days in Acute Care after Hospitalization 
for AMI measure; (2) the Excess Days in Acute Care after 
Hospitalization for HF measure; and (3) the Excess Days in Acute Care 
after Hospitalization for Pneumonia measure. We are additionally 
proposing to remove three self-selected eCQMs beginning with the CY 
2028 reporting period/FY 2030 payment determination: (1) the VTE 
Prophylaxis eCQM; (2) the Intensive Care Unit VTE Prophylaxis eCQM; and 
(3) Discharged on Antithrombotic Therapy eCQM. Lastly, we are proposing 
an update to the reporting and submission requirements for the Maternal 
Morbidity Structural measure beginning with the CY 2026 reporting 
period/FY 2028 payment determination. We do not anticipate any of these 
proposals will affect information collection burden.
    We are proposing to modify the reporting and submission 
requirements for eCQMs to require mandatory reporting of the 
Malnutrition Care Score eCQM beginning with the CY 2028 reporting 
period/FY 2030 payment determination, and to require mandatory 
reporting of Hospital Harm eCQMs after two years of self-selected 
reporting beginning with the CY 2028 reporting period/FY 2030 payment 
determination. We discuss the impacts on information collection burden 
associated with these proposals later in this section.
    Using the most recent data from the BLS for medical records 
specialists (SOC 29-2072), entitled, the May 2024 Occupational 
Employment and Wage Estimates, we propose to use the median hourly wage 
for medical records specialists for the industry, ``general medical and 
surgical hospitals,'' which is $27.53.\549\ We believe the industry of 
``general medical and surgical hospitals'' is more specific to this 
program compared to other industries under medical records specialists, 
such as ``office of physicians'' or ``nursing care facilities.'' We 
calculated the cost of overhead, including fringe benefits, at 100 
percent of the median hourly wage, consistent with previous years. This 
is necessarily a rough adjustment, both because fringe benefits and 
overhead costs vary significantly by employer and methods of estimating 
these costs vary widely in the literature. Nonetheless, we believe that 
doubling the hourly wage rate ($27.53 x 2 = $55.06) to estimate total 
cost is a reasonably accurate estimation method. Unless otherwise 
specified, we will calculate cost burden to hospitals using a wage plus 
benefits estimate of $55.06 per hour throughout the discussion in this 
section of this rule for the Hospital Inpatient Quality Reporting 
Program. If BLS releases updated wage rates after this proposed rule 
appears in the Federal Register and before the final rule appears in 
the Federal Register, we will maintain the wage rates used in this 
proposed rule.
---------------------------------------------------------------------------

    \549\ U.S. Bureau of Labor Statistics. Occupational Employment 
and Wage Statistics: General Medical and Surgical Hospitals, Medical 
Records Specialists. Accessed December 29, 2025. Available at: 
https://data.bls.gov/oes/#/industry/622100.
---------------------------------------------------------------------------

    In the FY 2026 IPPS/LTCH PPS final rule (90 FR 37192), our burden 
estimates were based on an assumption of approximately 3,050 IPPS 
hospitals. For this proposed rule, based on data from the FY 2026 
Hospital Inpatient Quality Reporting Program payment determination, we 
are maintaining that assumption and estimate that approximately 3,050 
IPPS hospitals will report data to the Hospital Inpatient Quality 
Reporting Program for the CY 2027 reporting period.
b. Information Collection Burden Estimate for the Proposed Adoption of 
Two eCQMs
    In sections IX.B.1. and IX.C.3.b. of the preamble of this proposed 
rule, we discuss the proposals to adopt the Advance Care Planning eCQM 
and Hospital Harm-Postoperative VTE eCQM beginning with the CY 2028 
reporting period/FY 2030 payment determination, respectively, to add to 
the set of eCQMs from which hospitals may self-select to meet their 
eCQM reporting requirements. The proposed adoption of these two eCQMs 
would not affect the information collection burden of submitting eCQMs 
under the Hospital Inpatient Quality Reporting Program as current 
policy under OMB control number 0938-1022 requires hospitals to submit 
data for three self-selected and eight mandatory eCQMs from the eCQM

[[Page 19755]]

measure set, for a total of 11 eCQMs, for the CY 2028 reporting period/
FY 2030 payment determination and subsequent years. In other words, 
although these new eCQMs would be added to the eCQM measure set, 
hospitals would not be required to report more than a total of 11 eCQMs 
for the FY 2030 payment determination and subsequent years. However, in 
section IX.C.8.c.(3). of the preamble of this proposed rule, we discuss 
the burden associated with the proposal to modify eCQM reporting and 
submission requirements to require mandatory reporting of Hospital Harm 
eCQMs after two years of self-selected reporting beginning with the CY 
2028 reporting period/FY 2030 payment determination.
c. Information Collection Burden Estimate for the Proposed Adoption of 
Six Claims-Based Measures
    In sections IX.B.2. and IX.C.3.a. of the preamble of this proposed 
rule, we discuss the proposed adoption of six claims-based measures. In 
section IX.C.3.a. of the preamble of this proposed rule, we discuss the 
proposed adoption of one new claims-based measure: (1) Excess Days in 
Acute Care After Hospitalization for Diabetes measure beginning with 
the July 1, 2025 through June 30, 2027 performance period, associated 
with the FY 2029 payment determination. In section IX.B.2. of the 
preamble of this proposed rule, we discuss the adoption of five 
mortality measures beginning with the July 1, 2024 through June 30, 
2026 performance period, associated with the FY 2028 payment 
determination, through the July 1, 2027 through June 30, 2029 
performance period, associated with the FY 2031 payment determination: 
(1) Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate 
Following AMI Hospitalization measure; (2) Hospital 30-Day, All-Cause, 
Risk-Standardized Mortality Rate Following HF Hospitalization measure; 
(3) Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate 
Following Pneumonia Hospitalization measure; (4) Hospital 30-Day, All-
Cause, Risk-Standardized Mortality Rate Following COPD Hospitalization 
measure; and (5) Hospital 30-Day, All-Cause, Risk-Standardized 
Mortality Rate Following CABG Surgery measure.
    Because these measures are calculated using Medicare FFS claims 
that are already reported to the Medicare program for payment purposes 
under OMB control number 0938-1197 (expiration date October 31, 2027) 
and MA encounter data already collected by CMS under OMB control number 
0938-1152 (expiration date July 31, 2027) to determine cohort inclusion 
criteria, complications outcomes, and present on admission 
comorbidities, adoption of these measures would not result in a change 
in burden associated with OMB control number 0938-1022.
d. Information Collection Burden Estimate for the Proposed Modification 
of Three Excess Days in Acute Care After Hospitalization Measures
    In section IX.C.5. of the preamble of this proposed rule, we are 
proposing to modify three measures beginning with the July 1, 2024 
through June 30, 2026 performance period, associated with the FY 2028 
payment determination: (1) the Excess Days in Acute Care after 
Hospitalization for AMI measure; (2) the Excess Days in Acute Care 
after Hospitalization for HF measure; and (3) the Excess Days in Acute 
Care after Hospitalization for Pneumonia measure.
    This proposed modification would include adding MA beneficiaries to 
the current cohort of patients and shortening the performance period 
from 3 years to 2 years. Because these measures would be calculated 
using Medicare FFS claims that are already reported to the Medicare 
program for payment purposes under OMB control number 0938-1197 and MA 
encounter data already collected by CMS under OMB control number 0938-
1152 to determine cohort inclusion criteria, complications outcomes, 
and present on admission comorbidities, modifying these measures would 
not result in a change in burden associated with OMB control number 
0938-1022.
e. Information Collection Burden Estimate for the Proposed Removal of 
Three eCQMs
    In section IX.C.4. of the preamble of this proposed rule, we are 
proposing the removal of three eCQMs beginning with the CY 2028 
reporting period/FY 2030 payment determination: (1) the VTE Prophylaxis 
eCQM; (2) the Intensive Care Unit VTE eCQM; and (3) Discharged on 
Antithrombotic Therapy eCQM. Because reporting these eCQMs is not 
mandatory, but they are instead available in the Hospital Inpatient 
Quality Reporting Program eCQM measure set for hospitals to self-select 
to report, removing these eCQMs would not result in a change in burden 
associated with OMB control number 0938-1022.
f. Information Collection Burden Estimate for the Proposed Modification 
to the Reporting and Submission Requirements for the Maternal Morbidity 
Structural Measure
    In section IX.C.8.d.(1). of the preamble of this proposed rule, we 
discuss the proposal to modify the reporting and submission 
requirements for the Maternal Morbidity Structural measure beginning 
with the CY 2027 reporting period/FY 2029 payment determination. In the 
FY 2022 IPPS/LTCH PPS final rule (86 FR 45361 through 45365), we 
adopted the Maternal Morbidity Structural measure, requiring hospitals 
to attest ``yes'', ``no'', or ``not applicable'' to one two-part 
question. The currently approved information collection burden for the 
Maternal Morbidity Structural measure under OMB control number 0938-
1022 is five minutes (0.083 hours) per IPPS hospital annually. We are 
proposing to add a sub-question to collect the name of the Statewide 
and/or National Perinatal Quality Improvement Collaborative Program in 
which the hospital participates. We believe that the currently approved 
burden of five minutes is adequate for hospitals to both attest to the 
current two-part question and answer the proposed sub-question and 
therefore are not proposing any changes to the currently approved 
burden estimate.
g. Information Collection Burden Estimate for the Proposed Changes to 
eCQM Reporting and Submission Requirements
    In section IX.C.8.c.(2). of the preamble of this proposed rule, we 
discuss the proposal to modify the reporting and submission 
requirements for the Malnutrition Care Score eCQM to require mandatory 
reporting beginning with the CY 2028 reporting period/FY 2030 payment 
determination. The Malnutrition Care Score eCQM (previously known as 
Global Malnutrition Composite Score eCQM) was initially adopted in the 
FY 2023 IPPS/LTCH PPS final rule into the Hospital Inpatient Quality 
Reporting Program measure set from which a hospital could self-select 
beginning with the CY 2024 reporting period/FY 2026 payment 
determination (87 FR 49239 through 49246).
    In section IX.C.8.c.(3). of the preamble of this proposed rule, we 
discuss the proposal to modify the reporting and submission 
requirements for Hospital Harm eCQMs to require mandatory reporting 
after two years of self-selected reporting, beginning with the CY 2028 
reporting period/FY 2030 payment

[[Page 19756]]

determination. In the currently approved eCQM measure set, there are 
two Hospital Harm eCQMs in the Hospital Inpatient Quality Reporting 
Program measure set from which a hospital could self-select: Hospital 
Harm-Falls with Injury and Hospital Harm-Postoperative Respiratory 
Failure. Under this proposal, these two measures would begin mandatory 
reporting with the FY 2030 payment determination, given they were 
adopted in the FY 2025 IPPS/LTCH PPS final rule for self-selection 
eCQMs beginning with the FY 2028 payment determination (89 FR 69534 
through 69545). Additionally, as discussed in section IX.C.3.b. of the 
preamble of this proposed rule, we are proposing to adopt the Hospital 
Harm-Postoperative VTE eCQM as a self-selected eCQM beginning with the 
CY 2028 reporting period/FY 2030 payment determination. If finalized, 
this measure would begin mandatory reporting with the FY 2032 payment 
determination.
    Current Hospital Inpatient Quality Reporting Program policy under 
OMB control number 0938-1022 requires hospitals to submit data for 
three self-selected and eight mandatory eCQMs, for a total of 11 eCQMs, 
for the CY 2028 reporting period/FY 2030 payment determination and 
subsequent years. The currently approved information collection burden 
per reported eCQM under OMB control number 0938-1022 is 10 minutes 
(0.167 hours) per hospital per quarter or 40 minutes (0.67 hours) per 
hospital annually. For the CY 2028 reporting period/FY 2030 payment 
determination and CY 2029 reporting period/FY 2031 payment 
determination, we estimate the proposed modifications to the 
Malnutrition Care Score and two Hospital Harm eCQMs would result in a 
total increase of 120 minutes (2 hours) per hospital annually (10 
minutes/eCQM x 3 eCQMs x 4 quarters) or a total annual burden increase 
across all 3,050 IPPS hospitals of 6,100 hours (2 hours x 3,050 IPPS 
hospitals) at a cost of $335,866 (6,100 hours x $55.06). Beginning with 
the CY 2030 reporting period/FY 2032 payment determination, when the 
Hospital Harm-Postoperative VTE eCQM would become a mandatory eCQM to 
report if this policy is finalized, we estimate the proposed 
modifications would result in a total increase of 160 minutes (2.67 
hours) per hospital annually (10 minutes/eCQM x 4 eCQMs x 4 quarters) 
or a total annual burden increase across all 3,050 IPPS hospitals of 
8,133 hours (2.67 hours x 3,050 IPPS hospitals) at a cost of $447,803 
(8,133 hours x $55.06).
h. Summary of Information Collection Burden Estimates for the Hospital 
Inpatient Quality Reporting Program
    In summary, under OMB control number 0938-1022 (expiration date 
December 31, 2028), we estimate that the policies promulgated in this 
proposed rule would result in an increase in information collection 
burden of 8,133 hours at a cost of $447,803. We will submit the revised 
information collection estimates to OMB for approval under OMB control 
number 0938-1022. With respect to any costs/burdens unrelated to data 
submission, we refer readers to the Regulatory Impact Analysis (section 
I.K. of Appendix A of this proposed rule).
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[[Page 19757]]


BILLING CODE 4120-01-C
5. ICRs for the PPS-Exempt Cancer Hospital (PCH) Quality Reporting 
Program
    OMB has currently approved a total of 2 hours of burden at a cost 
of $111 under OMB control number 0938-1175 (expiration date January 31, 
2029), accounting for the annual information collection requirements 
for 11 PCHs for the PCH Quality Reporting Program. In this proposed 
rule, we describe the burden changes regarding collection of 
information under OMB control number 0938-1175 for PCHs.
    For more detailed information on our proposals for the PCH Quality 
Reporting Program, we refer readers to sections IX.B. and IX.D. of the 
preamble of this proposed rule. We are proposing to adopt two measures 
beginning with the CY 2028 reporting period/FY 2030 program year: (1) 
the Advance Care Planning electronic clinical quality measure (eCQM); 
and (2) the Malnutrition Care Score eCQM. We are also proposing to 
remove the COVID-19 Vaccination Coverage among Healthcare Personnel 
(HCP) measure beginning with the CY 2026 reporting period/FY 2028 
program year. We discuss the impacts on information collection burden 
associated with these proposals later in this section.
    Using the most recent data from the BLS for medical records 
specialists (SOC 29-2072), entitled, the May 2024 Occupational 
Employment and Wage Estimates, we propose to use the median hourly wage 
for medical records specialists for the industry, ``general medical and 
surgical hospitals,'' which is $27.53.\550\ Because we are estimating 
the burden specific to PCHs, as previously assumed in the FY 2026 IPPS/
LTCH PPS final rule, we believe the industry of ``general medical and 
surgical hospitals'' is more specific to this program compared to other 
industries under medical records specialists, such as ``office of 
physicians'' or ``nursing care facilities'' (90 FR 37194). We 
calculated the cost of overhead, including fringe benefits, at 100 
percent of the median hourly wage, consistent with the FY 2026 IPPS/
LTCH PPS final rule and previous years (90 FR 37194). This is 
necessarily a rough adjustment, both because fringe benefits and 
overhead costs vary significantly by employer and methods of estimating 
these costs vary widely in the literature. Nonetheless, we believe that 
doubling the hourly wage rate ($27.53 x 2 = $55.06) to estimate total 
cost is a reasonably accurate estimation method. Unless otherwise 
specified, we will calculate cost burden to PCHs using a wage plus 
benefits estimate of $55.06 per hour throughout the discussion in this 
section of this rule for the PCH Quality Reporting Program. In order to 
maintain consistency to the extent possible between proposed and final 
rules, if BLS releases updated wage rates after this proposed rule 
appears in the Federal Register and before the final rule appears in 
the Federal Register, we will maintain the wage rates used in this 
proposed rule.
---------------------------------------------------------------------------

    \550\ U.S. Bureau of Labor Statistics. Occupational Employment 
and Wage Statistics: General Medical and Surgical Hospitals, Medical 
Records Specialists. Available at: https://data.bls.gov/oes/#/industry/622100.
---------------------------------------------------------------------------

b. Information Collection Burden Estimate for the Proposed Adoption of 
Two eCQMs
    In sections IX.B.1. and IX.D.2.a. of the preamble of this proposed 
rule, we discuss the proposals to adopt the Advance Care Planning and 
Malnutrition Care Score eCQMs, respectively, beginning with the CY 2028 
reporting period/FY 2030 program year. Similar to the currently 
approved information collection burden estimates for submission of 
eCQMs for the Hospital Inpatient Quality Reporting Program under OMB 
control number 0938-1022, we assume a Medical Records Specialist would 
require 10 minutes (0.167 hours) per eCQM to submit the data required 
per quarter for each PCH, or 40 minutes (0.67 hours) annually. For both 
eCQMs, we estimate a total of 80 minutes (1.33 hours) annually per PCH, 
or 15 hours across all PCHs (1.33 hours x 11 PCHs) at a cost of $826 
(15 hours x $55.06).
c. Information Collection Burden Estimate for the Proposed Removal of 
the COVID-19 Vaccination Coverage Among HCP Measure
    In section IX.D.3.a. of the preamble of this proposed rule, we 
propose to remove the COVID-19 Vaccination Coverage among HCP measure 
beginning with the CY 2026 reporting period/FY 2028 program year. This 
measure was previously finalized in the FY 2022 IPPS/LTCH PPS final 
rule (86 FR 45428 through 45434), and the associated information 
collection is approved under OMB control number 0920-1317 \551\ 
(expiration date January 31, 2028).
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    \551\ Available at https://www.reginfo.gov/public/do/PRAViewICR?ref_nbr=202509-0920-004.
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    PCHs have the option to manually enter data directly into the 
Centers for Disease Control and Prevention (CDC) National Healthcare 
Safety Network web-based application or by uploading a CSV file. CDC 
estimates that each PCH requires between 40 minutes (0.67 hours) to 
upload a CSV file and 45 minutes (0.75 hours) monthly to enter the data 
manually. CDC assumes that manual data entry would be completed by a 
Microbiologist with a wage rate of $58.60/hour and uploading of a CSV 
file would be completed by an Information Technologist with a wage rate 
of $56.50/hour. Therefore, we estimate that this proposal would result 
in a decrease in burden of between 88 hours (0.67 hours x 12 months x 
11 PCHs) at a cost of $4,972 (88 hours x$56.50/hour) and 99 hours (0.75 
hours x 12 months x 11 PCHs) at a cost of $5,801 (99 hours x $58.60/
hour) annually across all 11 PCHs under OMB control number 0920-1317.
d. Summary of Information Collection Burden Estimates for the PCH 
Quality Reporting Program
    In summary, under OMB control number 0938-1175 (expiration November 
30, 2027), we estimate that the policies promulgated in this proposed 
rule for the PCH Quality Reporting Program would result in an increase 
in information collection burden of 15 hours and $826. We also estimate 
that the policies promulgated in this proposed rule for the PCH Quality 
Reporting Program would result in a decrease in information collection 
burden between 88 hours at a savings of $4,972 and 99 hours at a 
savings of $5,801 under OMB control number 0920-1317. We will submit 
the revised information collection estimates to OMB for approval under 
OMB control number 0938-1175. With respect to any costs/burdens 
unrelated to data submission, we refer readers to the Regulatory Impact 
Analysis (section I.L. of Appendix A of this proposed rule).

[[Page 19758]]

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6. ICRs for the Long-Term Care Hospital Quality Reporting Program (LTCH 
QRP)
    As required by section 1886(m)(5)(A)(i) of the Act, an LTCH that 
does not meet the requirements of the LTCH QRP for a fiscal year will 
receive a 2-percentage point reduction to its otherwise applicable 
annual update for that fiscal year. We estimated that the burden 
associated with the LTCH QRP is the time and effort associated with 
complying with the requirements of the LTCH QRP.
    In section IX.E.3. of the preamble of the proposed rule, we are 
proposing to remove the COVID-19 Vaccination Coverage among Healthcare 
Personnel (HCP) (HCP COVID-19 Vaccine) measure. We are also proposing, 
in section IX.E.4 of the preamble of the proposed rule, to remove the 
COVID-19 Vaccine: Percent of Patients/Residents Who Are Up to Date 
(Patient/Resident COVID-19 Vaccine) measure. If these proposals are 
finalized, both measure removals will be effective beginning with the 
FY 2028 LTCH QRP.
a. ICRs for Proposed Removal of the COVID-19 Vaccination Coverage Among 
Healthcare Personnel (HCP) Measure Beginning With the FY 2028 LTCH QRP
    In section IX.E.3. of the preamble of this proposed rule, we are 
proposing to remove the COVID-19 Vaccination Coverage among Healthcare 
Personnel (HCP) Measure (HCP COVID-19 Vaccine measure), beginning with 
the FY 2028 LTCH QRP. We note that the CDC would account for the burden 
associated with the HCP COVID-19 Vaccine measure collection under OMB 
control

[[Page 19759]]

number 0920-1317 (expiration 01/31/2028). Currently, the CDC does not 
estimate burden for COVID-19 vaccination reporting under PRA package 
OMB control number 0920-1317 due to a waiver under section 321 of the 
National Childhood Vaccine Injury Act of 1986 (Pub. L. 99-660, enacted 
on November 14, 1986 (NCVIA)).\552\ However, CMS is providing an 
estimate of reduction in burden and cost for LTCHs here. Consistent 
with the CDC's experience of collecting data using the NHSN, we 
estimate the removal of this measure will result in a reduction of 1 
hour(s) per month to collect data for the HCP COVID-19 Vaccine measure 
and enter it into NHSN. We believe that this data would be entered by 
an administrative assistant. However, LTCHs determine the staffing 
resources necessary.
---------------------------------------------------------------------------

    \552\ Section 321 of the NCVIA provides the PRA waiver for 
activities that come under the NCVIA, including those in the NCVIA 
at section 2102 of the Public Health Service Act (https://www.govinfo.gov/content/pkg/USCODE-2023-title42/pdf/USCODE-2023-title42-chap6A-subchapXIX-part1-sec300aa-2.pdf). Section 321 is not 
codified in the U.S. Code but can be found in a note (https://www.govinfo.gov/content/pkg/USCODE-2023-title42/pdf/USCODE-2023-title42-chap6A-subchapXIX-part1-sec300aa-1.pdf).
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    For the purposes of calculating the costs associated with the 
collection of information requirements, we obtained median hourly wages 
from the BLS May 2024 National Occupational Employment and Wage 
Estimates.\553\ To account for overhead and fringe benefits, we have 
doubled the hourly wage. These amounts are detailed in table XII.B-06.
---------------------------------------------------------------------------

    \553\ U.S. Bureau of Labor Statistics' (BLS) May 2024 National 
Occupational Employment and Wage Estimates. https://www.bls.gov/oes/current/oes_nat.htm.
---------------------------------------------------------------------------

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    We estimate that the removal of the HCP COVID-19 measure from the 
LTCH QRP will result in a reduction of 12 hours per LTCH per year. 
Using FY 2025 data, we estimate a total of 318 LTCHS annually for a 
decrease of 3,816 hours (12 hours x 318 LTCHS) for all LTCHs. Given an 
estimated $43.82 hourly wage for administrative assistants, we estimate 
a decrease of $525.84 per LTCH (12 hours x $43.82), or a decrease of 
$167,217.12 for all LTCHs annually ($525.84 x 318 LTCH). The total 
revised annual cost increase beginning with the FY 2028 LTCH QRP 
related to this information collection is summarized in Table XII.B-06.
[GRAPHIC] [TIFF OMITTED] TP14AP26.224

b. ICRs for Proposed Removal of the COVID-19 Vaccine: Percent of 
Patients/Residents Who Are Up to Date Measure Beginning With the FY 
2028 LTCH QRP
    In section IX.E.4. of the preamble of this proposed rule, we are 
proposing to remove COVID-19 Vaccine: Percent of Patients/Residents Who 
Are Up to Date Measure (Patient/Resident COVID-19 Vaccine measure), 
beginning with the FY 2028 LTCH QRP. We believe that data collection 
would be completed equally by a Registered Nurse (RN) and a Licensed 
Practical and Licensed Vocational Nurse (LPN/LVN). However, LTCHs 
determine the staffing resources necessary. In section IX.E.4 of the 
proposed rule we also propose to remove the item (O0350) from the LCDS, 
currently approved under OMB control number 0938-1163 (Expiration date: 
10/31/2027). The following is a discussion of this information 
collection.
    The net result of removing the related Patient/Resident COVID-19 
Vaccine Status measure and the LCDS item used to collect the measure 
data (O0350. Patient COVID-19 vaccination is up to date) is a decrease 
of 0.3 minutes or 0.005 hour of clinical staff time. We estimate that 
the burden and cost for LTCHs for complying with requirements of the FY 
2028 LTCH QRP would decrease under this proposal.
    For the purposes of calculating the costs associated with the 
collection of information requirements, we obtained median hourly wages 
for these staff from the U.S. Bureau of Labor Statistics' (BLS) May 
2024 National Occupational Employment and Wage Estimates.\554\ To 
account for other indirect costs and fringe benefits, we doubled the 
hourly wage. These amounts are detailed in Table G3. We established a 
composite cost estimate using our adjusted wage estimates. The 
composite estimate of $78.16/hr was calculated by weighting each 
adjusted hourly wage equally (that is, 50 percent) [($61.68/hr x 0.5) 
plus ($94.64/hr x 0.5) = $78.16].
---------------------------------------------------------------------------

    \554\ U.S. Bureau of Labor Statistics. Occupational Employment 
and Wage Statistics. May 2024. https://www.bls.gov/oes/current/oes_stru.htm.

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[[Page 19760]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.225

    Using FY 2025 data, we estimate an annual total of 102,590 
discharges from 318 LTCHs for an annual decrease of 512.95 hours 
(102,590 x 0.005 hour) for all LTCHs. Given 0.005 hours at $78.16 per 
hour, we estimate the total cost will decrease annually by $40,092.17 
for all LTCHs ($78.16 x 512.95 hours). For each LTCH, we estimate an 
annual burden decrease of 1.61 hours (512.95 hours/318 LTCHs) and an 
annual decreased cost of $126.08. The total estimated annual burden 
decrease associated with the removal of the Patient/Resident COVID-19 
Vaccine Status item (O0350) on discharge beginning with the FY LTCH QRP 
is summarized in Table XII.B-08.
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BILLING CODE 4120-01-C
    We invite public comments on the proposed modification to 
information collection requirements for LTCH QRP beginning with the FY 
2028 LTCH QRP.
7. ICRs for the Medicare Promoting Interoperability Program
a. Background
    OMB has currently approved 30,151 hours of burden at a cost of 
$1,669,707 under OMB control number 0938-1278 (expiration date March 
31, 2029), accounting for information collection burden experienced by 
approximately 3,150 eligible hospitals and 1,400 Critical Access 
Hospitals (CAHs) for the electronic health record (EHR) reporting 
period in CY 2026. The collection of information burden analysis in 
this proposed rule focuses on all eligible hospitals and CAHs that 
could participate in the Medicare Promoting Interoperability Program 
and report the objectives and measures, and report electronic clinical 
quality measures (eCQMs), under the Medicare Promoting Interoperability 
Program for the EHR reporting periods in CY 2026 and CY 2027.
    For more detailed information on our proposals for the Medicare 
Promoting Interoperability Program, we refer readers to section IX.B. 
and IX.F. of the preamble of this proposed rule. For the Medicare 
Promoting Interoperability Program, we are proposing to adopt three new 
measures: (1) the Advance Care Planning eCQM beginning with the CY 2028 
reporting period; (2) the Hospital Harm-Postoperative Venous 
Thromboembolism (VTE) eCQM beginning with the CY 2028 reporting period; 
and (3) the Unique Device Identifiers for Implantable Medical Devices 
measure beginning with the EHR reporting period in CY 2027. 
Additionally, we are proposing to remove two attestations and five 
measures: (1) the Office of the National Coordinator for Health 
Information Technology (ONC) Direct Review Attestation beginning with 
the EHR reporting period in CY 2026; (2) the optional ONC-Authorized 
Certification Body (ONC-ACB) Surveillance Attestation beginning with 
the EHR reporting period in CY 2026; (3) the Support Electronic 
Referral Loops by Sending Health Information measure beginning with the 
EHR reporting period in CY 2028; (4) the Support Electronic Referral 
Loops by Receiving and Reconciling Health Information measure beginning 
with the EHR reporting period in CY 2028; (5) the VTE Prophylaxis eCQM 
beginning with the CY 2028 reporting period; (6) the Intensive Care 
Unit VTE Prophylaxis eCQM beginning with the CY 2028 reporting period; 
and (7) the Discharged on Antithrombotic Therapy eCQM beginning with 
the CY 2028 reporting period. We are also proposing to update the 
Electronic Prior Authorization measure by modifying the measure text, 
modifying the ONC certification criteria eligible hospitals and CAHs 
must use to attest ``Yes'' beginning with the EHR reporting period in 
CY 2027, as well as proposing to make the measure optional for the EHR 
reporting period in CY 2027 and required beginning with the EHR 
reporting period in CY 2028.
    We are proposing to modify the Malnutrition Care Score eCQM to 
require mandatory reporting beginning with the CY 2028 reporting 
period. For those Hospital Harm eCQMs that are not already required to 
be reported (including any we may propose to adopt in the future), we 
are also proposing to modify the eCQM reporting and submission 
requirements for Hospital Harm eCQMs to require mandatory reporting 
after 2 years of self-selected reporting beginning with the CY 2028 
reporting period. We will discuss the impacts on information collection 
burden associated with these proposals later in this section.
    We are also proposing to revise the definition of CEHRT at 42 CFR 
495.4 for the Medicare Promoting Interoperability Program so the 
definition would be consistent with the proposed modification to health 
IT certification criteria in the HTI-5 proposed rule. There is no 
information collection burden associated with this proposal.
    Using the most recent data from the BLS for medical records 
specialists (SOC 29-2072), entitled, the May 2024 Occupational 
Employment and Wage Estimates, we propose to use the median hourly wage 
for medical records specialists for the industry, ``general medical and 
surgical hospitals,'' which is $27.53.\555\ We believe the industry of 
``general medical and surgical hospitals'' is more specific to this

[[Page 19761]]

program compared to other industries under medical records specialists, 
such as ``office of physicians'' or ``nursing care facilities.'' We 
calculated the cost of overhead, including fringe benefits, at 100 
percent of the median hourly wage, consistent with previous years. This 
is necessarily a rough adjustment, both because fringe benefits and 
overhead costs vary significantly by employer and methods of estimating 
these costs vary widely in the literature. Nonetheless, we believe that 
doubling the hourly wage rate ($27.53 x 2 = $55.06) to estimate total 
cost is a reasonably accurate estimation method. Unless otherwise 
specified, we will calculate cost burden to hospitals using a wage plus 
benefits estimate of $55.06 per hour throughout the discussion in this 
section of this rule for the Medicare Promoting Interoperability 
Program. If BLS releases updated wage rates after this proposed rule 
appears in the Federal Register and before the final rule appears in 
the Federal Register, we will maintain the wage rates used in this 
proposed rule.
---------------------------------------------------------------------------

    \555\ U.S. Bureau of Labor Statistics. Occupational Employment 
and Wage Statistics: General Medical and Surgical Hospitals, Medical 
Records Specialists. Accessed December 29, 2025. Available at: 
https://data.bls.gov/oes/#/industry/622100.
---------------------------------------------------------------------------

    In the FY 2026 IPPS/LTCH PPS final rule (90 FR 37199), our burden 
estimates were based on an assumption of 4,550 eligible hospitals and 
CAHs. For this FY 2027 proposed rule, based on data from the EHR 
reporting period in CY 2024, we continue to estimate approximately 
3,150 eligible hospitals and 1,400 CAHs will be eligible to report data 
to the Medicare Promoting Interoperability Program for the EHR 
reporting period in CY 2027, for a total number of 4,550 respondents.
b. Information Collection Burden for the Proposed Adoption of Two eCQMs
    In sections IX.B.1. and IX.F.9.b. of the preamble of this proposed 
rule, we are proposing to adopt two new eCQMs beginning with the CY 
2028 reporting period, respectively: (1) the Advance Care Planning eCQM 
and (2) the Hospital Harm-Postoperative VTE eCQM, to add to the set of 
eCQMs from which CAHs may self-select to meet their eCQM reporting 
requirements. The proposed adoption of these two eCQMs would not affect 
the information collection burden of submitting eCQMs under the 
Medicare Promoting Interoperability Program as currently estimated 
under OMB control number 0938-1022, which accounts for eligible 
hospitals and CAHs submitting data for three self-selected and eight 
mandatory eCQMs, for a total of 11 eCQMs, from the eCQM measure set for 
the CY 2028 reporting period and subsequent years. In other words, 
although these two eCQMs would be added to the eCQM measure set, 
eligible hospitals and CAHs are not currently required to report more 
than a total of 11 eCQMs for the CY 2028 reporting period and 
subsequent years. However, we note that if the proposals to modify eCQM 
reporting and submission requirements for the Malnutrition Care Score 
eCQM and all Hospital Harm eCQMs discussed in section IX.F.9.c. of this 
proposed rule are finalized, eligible hospitals and CAHs would be 
required to report a total of 14 eCQMs for the CY 2028 and CY 2029 
reporting periods, and 15 eCQMs beginning with the CY 2030 reporting 
period. In section XII.B.7.h, we discuss the burden associated with the 
proposals to modify eCQM reporting and submission requirements to 
require mandatory reporting for the Malnutrition Care Score and all 
Hospital Harm eCQMs after two years of self-selected reporting 
beginning with the CY 2028 reporting period.
c. Information Collection Burden Estimate for the Proposed Adoption of 
the Unique Device Identifiers for Implantable Medical Devices Measure
    In section IX.F.6. of the preamble of this proposed rule, we 
discuss the proposal to adopt the Unique Device Identifiers for 
Implantable Medical Devices measure under the Public Health and 
Clinical Data Exchange objective beginning with the EHR reporting 
period in CY 2027. For this attestation-based measure, eligible 
hospitals and CAHs would be required to report a ``Yes'' response, a 
``No'' response, or claim an applicable exclusion for which they are 
eligible. Like other attestations approved for the Public Health and 
Clinical Data Exchange objective under OMB control number 0938-1278, we 
assume eligible hospitals and CAHs require 30 seconds (0.5 minutes) to 
attest to this measure. Therefore, we estimate a total annual burden 
increase across all 4,550 eligible hospitals and CAHs of 38 hours 
(0.0083 hours x 4,550 eligible hospitals and CAHs) at a cost of $2,092 
(38 hours x $55.06). As stated in section IX.F.6.b. of the preamble of 
this proposed rule, we note that the ONC certification criterion at 45 
CFR 170.315(g)(10) can support fulfillment of the measure. Eligible 
hospitals and CAHs are also already required to record and maintain 
patient-linked implantable device information in their records under 21 
CFR 821.30. Additionally, as approved by OMB under control number 0938-
1022 for the Hospital Inpatient Quality Reporting Program, in which we 
account for the information collection burden associated with eCQM 
reporting and submission for eligible hospitals and CAHs, only the time 
associated with electronically submitting data to CMS is accounted for 
in our burden estimates because patient data are already entered into 
EHRs and health information technology systems as part of clinical 
practice. Therefore, we assume no additional information collection 
burden under OMB control number 0938-1270 associated with entry of 
Unique Device Identifier information into EHRs by eligible hospitals 
and CAHs.
d. Information Collection Burden Estimate for the Proposed Removal of 
the ONC Direct Review and Optional ONC-ACB Surveillance Attestations
    In section IX.F.3. of the preamble of this proposed rule, we 
discuss the proposals to remove the ONC Direct Review and optional ONC-
ACB Surveillance attestations beginning with the EHR reporting period 
in CY 2026. The information collection burden associated with the ONC 
Direct Review attestation is currently approved under OMB control 
number 0938-1278 and assumes each eligible hospital and CAH requires 1 
minute (0.0167 hours) at a cost of $1 (0.0167 hours x $55.06) annually 
to attest ``Yes'' or ``No.'' We therefore estimate a total annual 
burden decrease across all 4,550 eligible hospitals and CAHs of 76 
hours (0.0167 hours x 4,550 eligible hospitals and CAHs) at a savings 
of $4,185 (76 hours x $55.06). Similarly, we estimate each eligible 
hospital and CAH that currently elects to submit the optional ONC-ACB 
Surveillance attestation will experience a decrease in burden of 1 
minute (0.0167 hours) at a savings of $1 (0.0167 hours x $55.06) 
annually. We therefore estimate a total annual burden decrease across 
all 4,550 eligible hospitals and CAHs of 76 hours (0.0167 hours x 4,550 
eligible hospitals and CAHs) at a savings of $4,185 (76 hours x 
$55.06). We note that although the ONC-ACB Surveillance attestation was 
finalized in the CY 2017 Quality Payment Program final rule with 
comment period (81 FR 77019 through 77028), the associated information 
collection burden has not been accounted for under OMB control number 
0938-1278. We will submit a revised Information Collection Request 
under this OMB control number reflecting the inclusion of this 
attestation as well as its proposed removal.

[[Page 19762]]

e. Information Collection Burden Estimate for the Proposed Removal of 
the Support Electronic Referral Loops by Sending Health Information and 
Support Electronic Referral Loops by Receiving and Reconciling Health 
Information Measures
    In section IX.F.4. of the preamble of this proposed rule, we 
discuss the proposals to remove the Support Electronic Referral Loops 
by Sending Health Information and Support Electronic Referral Loops by 
Receiving and Reconciling Health Information measures beginning with 
the EHR reporting period in CY 2028. Under OMB control number 0938-
1278, eligible hospitals and CAHs are currently required to report one 
of three alternatives under the Health Information Exchange objective: 
(1) the Support Electronic Referral Loops by Sending Health Information 
and Support Electronic Referral Loops by Receiving and Reconciling 
Health Information measures; (2) the Health Information Exchange (HIE) 
Bi-Directional Exchange measure; or (3) the Enabling Exchange Under the 
Trusted Exchange Framework and Common Agreement (TEFCA) measure. 
Because eligible hospitals and CAHs would still be required to report 
either the HIE Bi-Directional Exchange or Enabling Exchange Under the 
TEFCA measure, we are not proposing any change to information 
collection burden associated with this proposal.
f. Information Collection Burden Estimate for the Proposed Removal of 
Three eCQMs
    In section IX.F.9.b. of the preamble of this proposed rule, we are 
proposing the removal of three eCQMs beginning with the CY 2028 
reporting period: (1) the VTE Prophylaxis eCQM; (2) the Intensive Care 
Unit VTE Prophylaxis eCQM; and (3) the Discharged on Antithrombotic 
Therapy eCQM.
    The burden associated with eligible hospitals and CAHs submitting 
eCQMs is currently approved under OMB control number 0938-1022. Because 
reporting these eCQMs is not mandatory, but they are instead available 
in the Medicare Promoting Interoperability Program eCQM measure set for 
eligible hospitals and CAHs to self-select to report, removing these 
eCQMs would not result in a change in burden associated with OMB 
control number 0938-1022.
g. Information Collection Burden Estimate for the Proposed Updates to 
the Electronic Prior Authorization Measure
    In section IX.F.5. of the preamble of this proposed rule, we 
discuss the proposed updates to the Electronic Prior Authorization 
measure beginning with the EHR reporting period in CY 2027. 
Specifically, we are proposing that eligible hospitals and CAHs must 
use technology certified to the criteria at 45 CFR 170.315(g)(31), 
(32), and (33) to report on the Electronic Prior Authorization measure 
beginning with the EHR reporting period in CY 2027. We are also 
proposing to modify the Electronic Prior Authorization measure 
description such that for at least one medical item or service 
(excluding drugs) ordered during a hospital encounter that occurs 
within the EHR reporting period, the prior authorization is requested 
electronically through a Prior Authorization API using CEHRT. Because 
the Electronic Prior Authorization measure is currently approved under 
OMB control number 0938-1278 and we are only proposing to update the 
criteria which eligible hospitals and CAHs would have to meet to attest 
``Yes'', we are not proposing any changes to information collection 
burden associated with this proposal.
    In section IX.F.5.d. of the preamble of this proposed rule, we are 
proposing to make the Electronic Prior Authorization measure optional 
for the EHR reporting period in CY 2027 and eligible for 10 bonus 
points. We are also proposing to make the Electronic Prior 
Authorization measure required beginning with the EHR reporting period 
in CY 2028. Under OMB control number 0938-1278, the currently approved 
burden estimate for this measure is 0.5 minutes per eligible hospital 
and CAH. Because we are unable to estimate the number of eligible 
hospitals and CAHs which may elect not to attest to this measure for 
the EHR reporting period in CY 2027 as a result of this proposal, for 
burden purposes, we propose not to make any changes to the currently 
approved burden estimates.
h. Information Collection Burden Estimate for the Proposed Changes to 
eCQM Reporting and Submission Requirements for CAHs
    In section IX.F.9.c. of the preamble of this proposed rule, we 
discuss the proposal to modify the reporting and submission 
requirements for the Malnutrition Care Score eCQM to require mandatory 
reporting beginning with the CY 2028 reporting period. The Malnutrition 
Care Score eCQM (previously known as Global Malnutrition Composite 
Score eCQM) was initially adopted in the FY 2023 IPPS/LTCH PPS final 
rule into the Medicare Promoting Interoperability Program measure set 
from which an eligible hospital or CAH could self-select to report 
beginning with the CY 2024 reporting period (87 FR 49361 through 
49364).
    In section IX.F.9.c. of the preamble of this proposed rule, we 
discuss the proposal to modify the eCQM reporting and submission 
requirements for all Hospital Harm eCQMs to begin mandatory reporting 
after two years of self-selected reporting beginning with the CY 2028 
reporting period. This proposal would apply only to Hospital Harm eCQMs 
that are not already required to be reported, including any Hospital 
Harm eCQMs we may adopt in future rules. In the currently approved eCQM 
measure set, there are two Hospital Harm eCQMs in the Medicare 
Promoting Interoperability Program measure set from which an eligible 
hospital or CAH could self-select: Hospital Harm-Falls with Injury and 
Hospital Harm-Postoperative Respiratory Failure. Under this proposal, 
these two measures would begin mandatory reporting with the CY 2028 
reporting period, given they were adopted in the FY 2025 IPPS/LTCH PPS 
final rule for self-selection eCQMs beginning with the CY 2026 
reporting period (89 FR 69621 and 69622). Additionally, as discussed in 
section IX.F.9.b. of the preamble of this proposed rule, we are 
proposing to adopt the Hospital Harm-Postoperative VTE eCQM as a self-
selected eCQM beginning with the CY 2028 reporting period. If 
finalized, this measure would begin mandatory reporting with the CY 
2030 reporting period.
    Currently for the Medicare Promoting Interoperability Program's 
eCQM reporting requirements, the information collection burden is 
estimated under OMB control number 0938-1022 and the policy requires 
eligible hospitals and CAHs to submit data for three self-selected and 
eight mandatory eCQMs, for a total of 11 eCQMs, for the CY 2028 
reporting period and subsequent years. The currently approved 
information collection burden per reported eCQM under OMB control 
number 0938-1022 is 10 minutes (0.167 hours) per eligible hospital or 
CAH per quarter or 40 minutes (0.67 hours) annually. For the CY 2028 
and CY 2029 reporting periods, we estimate the proposed modifications 
to the Malnutrition Care Score and two Hospital Harm eCQMs would result 
in a total increase of 120 minutes (2 hours) per CAH annually (10 
minutes/eCQM x

[[Page 19763]]

3 eCQMs x 4 quarters) or a total annual burden increase across all 
1,500 CAHs of 3,000 hours (2 hours x 1,500 CAHs) at a cost of $165,180 
(3,000 hours x $55.06). Beginning with the CY 2030 reporting period, 
when the Hospital Harm-Postoperative VTE eCQM will become a mandatory 
to report, we estimate the proposed modifications would result in a 
total increase of 160 minutes (2.67 hours) per CAH annually (10 
minutes/eCQM x 4 eCQMs x 4 quarters) or a total annual burden increase 
across all 1,500 CAHs of 4,000 hours (2.67 hours x 1,500 CAHs) at a 
cost of $220,240). We refer readers to section XII.B.4.g. of this 
proposed rule for discussion of the burden estimates associated with 
the similar proposals impacting hospitals participating in the Hospital 
Inpatient Quality Reporting Program. With aligned eCQM reporting 
requirements between the Medicare Promoting Interoperability Program 
and the Hospital Inpatient Quality Reporting Program, hospitals need 
only report eCQMs once for credit in both programs.
i. Summary of Estimates Used to Calculate the Collection of Information 
Burden
    In summary, under OMB control number 0938-1278 (expiration date 
April 30, 2027), we estimate that the policies in this proposed rule 
would result in a decrease in information collection burden of 114 
hours at a savings of $6,258. We also estimate that the policies 
promulgated in this proposed rule would result in an increase in 
information collection burden of 4,000 hours at a cost of $220,240 
under OMB control number 0938-1022. We will submit the revised 
information collection estimates to OMB for approval under OMB control 
number 0938-1278. With respect to any costs/burdens unrelated to data 
submission, we refer readers to the Regulatory Impact Analysis (section 
I.N. of Appendix A of this proposed rule).
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8. ICRs for the Transforming Episode Accountability Model
    In section X.A. of the preamble of this final rule, we discuss 
testing the Transforming Episode Accountability Model (TEAM), proposed 
in the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986), and proposed 
updates to the model under the authority of the CMS Innovation Center. 
Section 1115A of the Act authorizes the CMS Innovation Center to test 
innovative payment and service delivery models to reduce program 
expenditures while preserving or enhancing the quality of care 
furnished to Medicare, Medicaid, and Children's Health Insurance 
Program beneficiaries. As stated in section 1115A(d)(3) of the Act, 
chapter 35 of title 44, United States Code, shall not apply to the 
testing and evaluation of models under section 1115A of the Act. As a 
result, the information collection requirements contained in this 
proposed rule for TEAM need not be reviewed by the Office of Management 
and Budget.
9. ICRs for the Comprehensive Care for Joint Replacement Expanded (CJR-
X) Model
    In section X.C. of the preamble of this proposed rule, we discuss 
testing the proposed Comprehensive Care for Joint Replacement Expanded 
(CJR-X) Model, under the authority of the CMS Innovation Center. 
Section 1115A of the Act authorizes the CMS Innovation Center to test 
innovative payment and service delivery models to reduce program 
expenditures while preserving or enhancing the quality of care 
furnished to Medicare, Medicaid, and Children's Health Insurance 
Program beneficiaries. As stated in section 1115A(d)(3) of the Act, 
chapter 35 of title 44, United States Code, shall not apply to the 
testing and evaluation of models under section 1115A of the Act. As a 
result, the information collection requirements contained in this 
proposed rule for CJR-X need not be reviewed by the Office of 
Management and Budget.
10. ICRs for Proposals Regarding Acquisition Costs, Reasonable Costs, 
and Other Cost-Related Policies
    In section X.D.2. and in section X.D.3. of the preamble of this 
proposed rule, we propose to revise and codify Medicare's reasonable 
cost policies and cost allocation policies, and in section X.D.4. of 
the preamble of this proposed rule to codify the discretionary 
Administrator review of CMS reviewing official determinations for IOPOs 
and HCLs. In section X.D.5 of the preamble of this proposed rule, we 
propose clarifications and technical corrections to regulation text. In 
addition, we propose in section X.D.1. of the preamble of this proposed 
rule to reconcile non-renal organ acquisition costs for IOPOs and HCLs 
and to require the contractor to establish, adjust if necessary, and 
publish interim rates for IOPOs and HCLs, with a 1-year delay, 
effective for cost reporting periods beginning on or after October 1, 
2027.
    Our proposal in section X.D.1. of the preamble of this proposed 
rule to reconcile non-renal organ acquisition costs for IOPOs and HCLs 
has a 1-year delay to allow time to update the IOPO and HCL Medicare 
cost report should this proposal be finalized. There would be no 
additional data collection requirements for IOPOs and HCLs as a result 
of our proposals, because IOPOs and HCLs already collect the data 
needed for the contractor to establish, adjust (if necessary), and 
publish non-renal SACs or testing rates, and to reconcile non-renal 
organ acquisition costs for IOPOs and HCLs, in accordance with 
Sec. Sec.  413.20 and 413.24. However, we recognize there may be 
additional reporting requirements if our proposals are finalized.
    The methods of determining costs payable under Medicare involve 
making use of data available from the

[[Page 19765]]

institution's basis accounts, as usually maintained, to arrive at 
equitable and proper payment for services. Burden hours for each OPO/
HCL are the estimated time required (number of hours) to complete 
ongoing data gathering and recordkeeping tasks, search existing data 
resources, review instructions, and complete the OMB number 0938-0102, 
Form CMS-216-94. Currently there are 94 Medicare certified OPOs/HCLs 
that file Form CMS-216-94 annually. The current estimated average 
burden per OPO/HCL is 45 hours (30 hours for recordkeeping and 15 hours 
for reporting). For this proposal, we do not estimate additional 
recordkeeping burden but estimate an average additional reporting 
burden of 10 hours per OPO/HCL and an estimated additional cost of 
$785.40 per OPO/HCL. The most recent median hourly wage data is 
available from the Bureau of Labor Statistics using their national 
table (available at https://www.bls.gov/oes/tables.htm). The median 
hourly wage for Category 13-2011 (accounting and audit professionals) 
is $39.27. We added 100% of the median wage to account for fringe 
benefits and overhead costs, which calculates to $78.54 ($39.27+ 
$39.27) and multiplied it by 10 hours, to determine the additional 
annual reporting costs per OPO/HCL to be $785.40 ($78.54 x 10 hours). 
We recognize this average reporting burden varies depending on the OPO/
HCL's size and complexity. Because there are 94 IOPOs and HCLs, the 
total reporting burden cost for all IOPOs and HCLs would be $73,828 (94 
x $785.40). We invite public comment on the hours estimate as well as 
the staffing requirements utilized to compile and complete the Medicare 
cost report. Because we proposed a 1-year delay, if our proposals were 
to be finalized, these estimated reporting burden would not occur until 
FY 2028.
    CMS currently collects data on OMB control number 0938-0102, Form 
CMS-216-94, and if this proposal is finalized, revisions to OMB control 
number 0938-0102 would be included in a future PRA package notice as 
required under the Paperwork Reduction Act of 1995 (PRA) (44 U.S.C. 
3501 et seq.). There are no new collection of information requirements 
resulting from any of our proposals in sections X.D.2., X.D.3., X.D.4., 
and X.D.5 of the preamble of this proposed rule.

XIV. Response to Comments

    Because of the large number of public comments we normally receive 
on Federal Register documents, we are not able to acknowledge or 
respond to them individually. We will consider all comments we receive 
by the date and time specified in the DATES section of this preamble, 
and, when we proceed with a subsequent document, we will respond to the 
comments in the preamble to that document.
    Mehmet Oz, Administrator of the Centers for Medicare & Medicaid 
Services, approved this document on April 1, 2026.

List of Subjects

42 CFR Part 405

    Administrative practice and procedure, Diseases, Health facilities, 
Health professions, Medical devices, Medicare Reporting and 
recordkeeping requirements, Rural areas, X-rays.

42 CFR Part 412

    Administrative practice and procedure, Health facilities, Medicare, 
Puerto Rico, and Reporting and recordkeeping requirements.

42 CFR Part 413

    Diseases, Health facilities, Medicare, Puerto Rico, and Reporting 
and recordkeeping requirements.

42 CFR Part 415

    Health facilities, Health professions, Medicare, Reporting and 
recordkeeping requirements.

42 CFR Part 419

    Hospitals, Medicare, and Reporting and recordkeeping requirements.

42 CFR Part 495

    Administrative practice and procedure, Health facilities, Health 
maintenance organizations (HMO), Health professions, Health records, 
Medicaid, Medicare, Penalties, Privacy, and Reporting and recordkeeping 
requirements.

42 CFR Part 512

    Administrative practice and procedure, Health care, Health 
facilities, Health insurance, Intergovernmental relations, Medicare, 
Penalties, Reporting and recordkeeping requirements.
    For the reasons set forth in the preamble, the Centers for Medicare 
and Medicaid Services is proposing to amend 42 CFR Chapter IV as set 
forth below:

PART 405--FEDERAL HEALTH INSURANCE FOR THE AGED AND DISABLED

0
1. The authority citation for part 405 continues to read as follows:

    Authority: 42 U.S.C. 263a, 405(a), 1302, 1320b-12, 1395x, 
1395y(a), 1395ff, 1395hh, 1395kk, 1395rr, and 1395ww(k).


Sec.  405.1801  [Amended]

0
2. In Sec.  405.1801 paragraph (a) is amended in the definition of 
Administrator review by removing the reference ``Sec.  405.1875'' and 
adding in its place the reference ``Sec. Sec.  405.1834 and 405.1875''.
0
3. Section 405.1803 is amended by revising paragraph (d)(1)(ii) to read 
as follows:


Sec.  405.1803  Contractor determination and notice of amount of 
program reimbursement.

* * * * *
    (d) * * *
    (1) * * *
    (ii) A final decision by a CMS reviewing official (as described in 
Sec.  405.1834(f)(1) of this subpart) or the Administrator (as 
described in Sec. Sec.  405.1834 and 405.1875(e)(4) of this subpart) 
following review of a hearing decision by the contractor, the Board or 
the CMS reviewing official, as the case may be.
* * * * *
0
4. Section 405.1811 is amended by revising paragraphs (a)(2) and (c)(3) 
to read as follows:


Sec.  405.1811  Right to contractor hearing; contents of, and adding 
issues to, hearing request.

    (a) * * *
    (2) With the exception of an IOPO or histocompatibility laboratory, 
the amount in controversy (as determined in accordance with Sec.  
405.1839) must be at least $1,000 but less than $10,000. An IOPO or 
histocompatibility laboratory is subject to the amount in controversy 
requirement specified in Sec.  413.420(g).
* * * * *
    (c) * * *
    (3) Unless the provider qualifies for a good cause extension under 
Sec.  405.1813, the date of receipt by the contractor of the provider's 
hearing request must be no later than 180 days after the date of 
receipt by the provider of the final contractor or Secretary 
determination. An IOPO or histocompatibility laboratory is subject to 
the amount in controversy requirement specified in Sec.  413.420(g).
* * * * *
0
5. Section 405.1813 is amended by revising paragraphs (e)(1) and (2) 
and adding paragraph (e)(3) to read as follows:


Sec.  405.1813  Good cause extension of time limit for requesting a 
contractor hearing.

* * * * *
    (e) * * *
    (1) A decision denying an extension request under this section and 
dismissing the appeal is final and

[[Page 19766]]

binding on the provider, unless the dismissal decision is--
    (i) Reviewed by a CMS reviewing official in accordance with Sec.  
405.1834(b)(2)(i) of this subpart;
    (ii) Reviewed by the Administrator; or
    (iii) Reopened and revised by the contractor hearing officer(s) in 
accordance with Sec. Sec.  405.1885 through 405.1889 of this subpart.
    (2) The contractor hearing officer(s) promptly sends the decision 
to the appropriate component of CMS (currently the Center for Medicare) 
(as specified in Sec.  405.1834(b)(4) of this subpart).
    (3) A decision granting an extension request under this section is 
not subject to immediate review by a CMS reviewing official (as 
described in Sec.  405.1834(b)(3) of this subpart). Any decision may be 
examined during--
    (i) The course of a CMS reviewing official's review of a final 
jurisdictional dismissal decision or a final hearing decision by the 
contractor hearing officer(s) (as described in Sec.  405.1834(b)(2)(i) 
and (ii) of this subpart); or
    (ii) The Administrator's review of a CMS reviewing official 
decision.
0
6. Section 405.1814 is amended by revising paragraphs (a)(5), (c)(3), 
and (d) to read as follows:


Sec.  405.1814  Contractor hearing officer jurisdiction.

    (a) * * *
    (5) Final jurisdictional findings and jurisdictional dismissal 
decisions by the contractor hearing officer(s) are subject to the CMS 
reviewing official procedure in accordance with paragraph (d) of this 
section and Sec.  405.1834(b)(2)(i) and (b)(2)(ii) of this subpart, as 
well as the possibility of review by the Administrator as described in 
Sec.  405.1834(g).
* * * * *
    (c) * * *
    (3) A jurisdictional dismissal decision by the contractor hearing 
officer(s) under paragraph (c)(2) of this section is final and binding 
on the parties, unless the decision is--
    (i) Reviewed by a CMS reviewing official in accordance with Sec.  
405.1834 of this subpart;
    (ii) Is subsequently reviewed by the Administrator in accordance 
with Sec.  405.1834 of this subpart; or
    (iii) Reopened and revised by the contractor hearing officer(s) in 
accordance with Sec. Sec.  405.1885 through 405.1889 of this subpart.
    (d) CMS reviewing official and Administrator review of 
jurisdictional decisions. Any finding by the contractor hearing officer 
as to whether it has jurisdiction to grant a hearing on a specific 
matter at issue in an appeal is not subject to further administrative 
review, except as provided in this paragraph. The contractor hearing 
officer's jurisdictional findings as to specific matters at issue in an 
appeal may be reviewed solely during the course of the CMS reviewing 
official's review of one of the contractor hearing officer decisions 
specified in Sec.  405.1834(b)(2) of this subpart or during the course 
of the Administrator's review of a CMS reviewing official's decision.
0
7. Section 405.1821 is amended by revising paragraphs (d)(2) 
introductory text, (d)(2)(i), and (d)(2)(iii) introductory text to read 
as follows:


Sec.  405.1821  Prehearing discovery and other proceedings prior to the 
contractor hearing.

* * * * *
    (d) * * *
    (2) Exception. To the extent a ruling authorizes discovery or 
disclosure of a matter for which an objection based on privilege or 
other protection from disclosure such as case preparation, 
confidentiality, or undue burden, was made before the contractor 
hearing officer(s), that portion of the discovery or disclosure ruling 
may immediately be reviewed by a CMS reviewing official or the 
Administrator in accordance with Sec.  405.1834.
    (i) Upon notice to the contractor hearing officer that the provider 
intends to seek immediate review of a ruling, or that the contractor or 
other affected nonparty intends to suggest that the CMS reviewing 
official or the Administrator, take own motion review of the ruling, 
the contractor hearing officer stays all proceedings affected by the 
ruling.
    (iii) If the CMS reviewing official or the Administrator--
* * * * *
0
 8. Section 405.1833 is revised to read as follows:


Sec.  405.1833  Effect of contractor hearing decision.

    (a) A contractor hearing decision issued in accordance with Sec.  
405.1831 of this subpart is final and binding on all parties to the 
contractor hearing and on the contractor, unless the contractor hearing 
decision is--
    (1) Reviewed by a CMS reviewing official or by a CMS reviewing 
official and then is in turn reviewed by the Administrator in 
accordance with Sec.  405.1834 of this subpart; or
    (2) Reopened and revised by the contractor hearing officer(s) in 
accordance with Sec. Sec.  405.1885 through 405.1889 of this subpart.
    (b) Final contractor hearing decisions are subject to the 
provisions of Sec.  405.1803(d) of this subpart.
0
9. Section 405.1834 is amended by--
0
a. Revising the section heading and paragraphs (a), (b)(1)(ii), (b)(4) 
introductory text, (b)(4)(ii), (c), (c)(1)(i), (c)(3), (c)(3)(i), (d), 
(d)(1);
0
b. Adding paragraphs (d)(4) and (d)(5);
0
a. Revising paragraphs (e)(1), (e)(3), (f) introductory text, (f)(1) 
and (f)(2) introductory text;
0
c. Adding paragraphs (f)(3) and (g).
    The revisions and additions read as follows:


Sec.  405.1834  CMS reviewing official procedure and Administrator 
review.

    (a) Scope. CMS or a provider that is a party to, and dissatisfied 
with, a final decision by the contractor hearing officer(s), upon 
submitting a request that meets the requirements of paragraph (c) of 
this section, is entitled to further administrative review of the 
decision by a CMS reviewing official, and the decision may be reviewed 
at the discretion of first a designated CMS reviewing official and 
discretionary review by the Administrator. No other individual, entity, 
or party has the right to the review. The review is conducted first by 
a designated CMS reviewing official who considers whether the decision 
of the contractor hearing officer(s) is consistent with the controlling 
legal authority (as described in Sec.  405.1834(e)(1) of this subpart) 
and the evidence in the record, and the CMS reviewing official's 
decision may then be subject to further discretionary review by the 
Administrator.
    (b) * * *
    (1) * * *
    (ii) The CMS reviewing official exercises this review authority in 
response to a request from a provider party to the appeal that meets 
the requirements of paragraph (c) of this section, or in response to a 
request from CMS, or may exercise his or her discretion to take own 
motion review.
* * * * *
    (4) The contractor hearing officer(s) must promptly send copies of 
any decision specified in paragraph (b)(2) or (b)(3) of this section or 
in Sec.  405.1821(d)(2) of this subpart and the underlying contractor 
hearing officer's administrative record to the appropriate component of 
CMS (currently the Center for Medicare).
    (i) * * *
    (ii) The appropriate CMS component examines each contractor hearing 
officer decision that is reviewable under paragraph (b)(2) or (b)(3) of 
this section or Sec.  405.1821(d)(2) of this subpart, along with any 
review requests and any other

[[Page 19767]]

submissions made by a party or CMS in accordance with the provisions of 
this section, in order to assist the CMS reviewing official's and the 
Administrator's exercise of this review authority.
    (c) Request for review by a CMS reviewing official.
    (1) * * *
    (i) The date of receipt by the appropriate CMS component of the 
review request is no later than 60 days after the date of receipt by 
the provider of the contractor hearing officer decision; and
* * * * *
    (3) A request from a party or CMS for immediate review of a 
contractor hearing officer ruling authorizing discovery or disclosure 
in accordance with paragraph (b)(3) of this section must--
    (i) Be made as soon as practicable after the ruling is made, but in 
no event later than 5 business days after the date the requesting party 
or CMS received notice of the ruling; and
* * * * *
    (d) Own motion review of a CMS reviewing official.
    (1) The CMS reviewing official has discretion to take own motion 
review of a contractor hearing officer decision (regardless in either 
case of whether the decision was favorable or unfavorable to the 
provider) or other reviewable action.
* * * * *
    (4) If the CMS reviewing official does not notify the parties and 
the contractor that he or she intends to review the contractor hearing 
officer decision or other reviewable action within 90 days after the 
date of the contractor hearing officer's decision, then the 
Administrator may issue a notice instructing the CMS reviewing official 
to review the contractor hearing officer decision and issue a decision 
if the CMS reviewing official fails to do so.
    (i) The Administrator promptly provides copies of the notice 
instructing the CMS reviewing official to review the contractor hearing 
officer decision to the parties, the contractor, and to the appropriate 
component of CMS.
    (ii) After the CMS reviewing official's receipt of the 
Administrator's notice (instructing the CMS reviewing official to 
review the contractor hearing officer decision and issue a decision), 
the CMS reviewing official must allow the parties a reasonable period 
to comment on the issues identified by the Administrator for review.
    (5) If no party requests review of the contractor hearing decision 
and the CMS reviewing official does not take review on his or her own 
motion or at the direction of the Administrator within the time periods 
specified in this paragraph, the contractor hearing officer decision is 
final in accordance with Sec.  405.1833 of this subpart.
    (e) * * *
    (1) In reviewing a contractor hearing officer decision specified in 
paragraph (b)(2) or (b)(3) of this section, the CMS reviewing official 
must--
* * * * *
    (3) Upon completion of the review of a contractor hearing decision 
specified in paragraph (b)(2) or (b)(3) of this section, the CMS 
reviewing official issues a written decision that includes findings of 
fact and conclusions of law on jurisdictional issues and on the merits 
of each issue under review over which the CMS reviewing official has 
jurisdiction and affirms, reverses, or modifies the contractor hearing 
decision or remands the contractor hearing decision to the contractor 
hearing officer for further proceedings. A copy of the decision must be 
sent promptly to each party, to the contractor, and to the appropriate 
component of CMS (currently the Center for Medicare).
    (f) Effect of a reviewing official's decision, remand, and the 
possibility of Administrator review.
    (1) A decision of affirmation, reversal, or modification by the CMS 
reviewing official is final and binding on each party and the 
contractor, except as set forth in paragraph (g) of this section. The 
CMS reviewing official's decision may be reopened and revised by the 
CMS reviewing official in accordance with Sec. Sec.  405.1885 through 
405.1889 of this subpart. Decisions of a CMS reviewing official are 
subject to the provisions of Sec.  405.1803(d) of this subpart. A 
decision by a CMS reviewing official remanding an appeal to the 
contractor hearing officer(s) for further proceedings under paragraph 
(f)(2) of this section is not a final decision.
    (2) A remand to the contractor hearing officer(s) by the CMS 
reviewing official must do all of the following:
* * * * *
    (3) The CMS reviewing official must promptly send copies of the CMS 
reviewing official decision, along with any other submissions made by a 
party or CMS in accordance with the provisions of this section, to the 
appropriate component of CMS (currently the Center for Medicare) and to 
the Administrator c/o the CMS Office of the Attorney Advisor.
    (g) Administrator review of a CMS reviewing official's decision.
    (1) CMS or any party to a CMS reviewing official decision may 
request Administrator review of a CMS reviewing official decision in 
accordance with this section. No other provider, individual, or entity 
may request review. The Administrator may grant or deny review of a CMS 
reviewing official decision at his or her discretion. The Administrator 
may also review any decision of the CMS reviewing official on his or 
her own motion (regardless of whether the decision was favorable or 
unfavorable to the provider).
    (2) A party or CMS may request that the Administrator review a CMS 
reviewing official decision within 15 days of their receipt of a final 
CMS reviewing official decision.
    (i) All requests for Administrator review and any other submissions 
to the Administrator under this paragraph must be sent to the Office of 
the Attorney Advisor. The request for review must be in writing, attach 
a copy of the CMS reviewing official decision for which it seeks 
review, and include a brief description of all of the following:
    (A) Those aspects of the CMS reviewing official decision with which 
the requestor is dissatisfied.
    (B) The reasons for the requestor's dissatisfaction.
    (C) Any argument or record evidence the requestor believes supports 
its position.
    (D) Any additional, extra-record evidence relied on by the 
provider, along with a demonstration that such evidence was improperly 
excluded in proceedings below (as described in Sec.  405.1823 of this 
subpart).
    (ii) The Administrator must issue a Notice advising the parties of 
his or her intent to review or to decline to review within 30 days of 
the Administrator's receipt of a request for review from CMS or any 
party to the CMS reviewing official's decision. That Notice must be 
promptly sent to the parties, the contractor, and the appropriate 
component of CMS. A Notice advising the parties of the Administrator's 
intent to review must contain a brief statement of the issues under 
``review and solicit comments from the parties, the contractor, and 
CMS. A Notice that the Administrator is declining to review need not 
set forth the basis for the Administrator's decision to decline review 
the CMS reviewing official's decision.
    (iii) If the Administrator declines to review the reviewing 
official decision or the Administrator does not issue a determination 
regarding review of the reviewing official decision within 30 days of 
the Administrator's receipt of a request to review, the decision of the 
CMS reviewing official is final. Upon

[[Page 19768]]

issuance of a Notice, within 30 days of a request for Administrator 
review of a CMS reviewing official decision, that the Administrator is 
declining to review the reviewing official's decision, the CMS 
reviewing official's decision becomes final in accordance with 
paragraph (f)(1) of this section.
    (3) Within 45 days of the Administrator's receipt of a CMS 
reviewing official's decision, the Administrator may issue a Notice of 
Review on his or her own motion. The Notice of Review must be sent to 
the parties, the contractor, and the appropriate component of CMS. The 
Notice of Review must contain a brief statement of the issues under 
review and solicit comments from the parties, contractor, and CMS. If 
the Administrator does not issue a determination regarding his or her 
own motion review within 45 days of the Administrator's receipt of a 
CMS reviewing official's decision, the decision of the CMS reviewing 
official is final.
    (4) If the Administrator elects to review the CMS reviewing 
official's decision--
    (i) The Administrator will set deadlines for the parties and 
affected nonparties to submit comments; and
    (ii) The Administrator's decision affirming, reversing, or 
modifying the CMS reviewing official's decision is final and binding on 
each party and the contractor. A decision remanding an appeal to the 
CMS reviewing official, contractor hearing officer(s) is not a final 
decision. Decisions of the Administrator are subject to the provisions 
of Sec.  405.1803(d) of this subpart.
    (5) If the Administrator does not issue a written decision that 
affirms, reverses, modifies or remands the CMS reviewing official's 
decision within 60 days of the date of issuance of the Notice of 
Review, the CMS reviewing official's decision becomes final in 
accordance with paragraph (f)(1) of this section.
    (6) The Administrator may remand the CMS reviewing official's 
decision to the CMS reviewing official, to the contractor hearing 
officer, or to the contractor. A remand by the Administrator must do 
all of the following:
    (i) Vacate the CMS reviewing official's and/or the contractor 
hearing officer decisions as to the specific issues remanded.
    (ii) Be governed by the same criteria that apply to remands by the 
Administrator to the Board under Sec.  405.1875(f)(2) of this subpart, 
and require the entity to which the matter is remanded to take specific 
actions on remand.
    (iii) Result in the CMS reviewing official, contractor hearing 
officer(s), or contractor taking the actions required on remand and 
issuing a new decision.

PART 412--PROSPECTIVE PAYMENT SYSTEMS FOR INPATIENT HOSPITAL 
SERVICES

0
9. The authority citation for part 412 continues to read as follows:

    Authority: 42 U.S.C. 1302 and 1395hh.

0
10. Section 412.24 is amended by adding paragraph (g) to read as 
follows:


Sec.  412.24   Requirements under the PPS-Exempt Cancer Hospital 
Quality Reporting (PCHQR) Program.

* * * * *
    (g) Requirements for submission of electronic clinical quality 
measures (eCQMs) under the PCHQR Program.
    When reporting eCQMs under the PCHQR Program, PCHs must use all of 
the following:
    (1) Health information technology (IT) certified to the ONC Health 
IT Certification Program certification criteria necessary for eCQM 
reporting, as adopted and updated at 45 CFR 170.315(c).
    (2) Certified health IT described in paragraph (g)(1) to calculate, 
export, and submit results for the eCQMs available to report under the 
PCHQR Program.
    (3) The eCQM electronic measure specifications for the applicable 
reporting period available on the Electronic Clinical Quality 
Improvement Resource Center website at https://ecqi.healthit.gov/ or 
another website as designated by CMS.
0
11. Section 412.87 is amended by revising paragraphs (c) introductory 
text, (d), and (f) to read as follows:


Sec.  412.87  Additional payment for new medical services and 
technologies: General provisions.

* * * * *
    (c) Eligibility criteria for alternative pathway for certain 
transformative new devices. For applications submitted for new 
technology add-on payments for FYs 2021 through 2027, inclusive, CMS 
provides for additional payments (as specified in Sec.  412.88) beyond 
the standard DRG payments and outlier payments to a hospital for 
discharges involving covered inpatient hospital services that are new 
medical devices, if the following conditions are met:
* * * * *
    (d) Eligibility criteria for alternative pathway for certain 
antimicrobial products. For applications submitted for new technology 
add-on payments for FYs 2021 through 2027, inclusive, CMS provides for 
additional payments (as specified in Sec.  412.88) beyond the standard 
DRG payments and outlier payments to a hospital for discharges 
involving covered inpatient hospital services that are new medical 
products, if the following conditions are met:
    (1)(i) For applications submitted for new technology add-on 
payments for FYs 2021 through 2027, inclusive, a new medical product is 
designated by FDA as a Qualified Infectious Disease Product and has 
received marketing authorization for the indication covered by the 
Qualified Infectious Disease Product designation; or
    (ii) For applications submitted for new technology add-on payments 
for FYs 2022 through 2027, inclusive, a new medical product is approved 
under FDA's Limited Population Pathway for Antibacterial and Antifungal 
Drugs (LPAD) and used for the indication approved under the LPAD 
pathway.
* * * * *
    (f) Announcement of determinations and deadline for consideration 
of new medical service or technology applications.
    (1)(i) CMS considers whether a new medical service or technology 
meets the eligibility criteria specified in paragraph (b) of this 
section and announces the results in the Federal Register as part of 
its annual updates and changes to the IPPS.
    (ii) CMS only considers any particular new medical service or 
technology for add-on payments under paragraph (b) of this section.
    (2) CMS only considers, for add-on payments for a particular fiscal 
year, an application for which the new medical service or technology 
has received FDA marketing authorization by May 1 prior to the 
particular fiscal year.


Sec.  412.88  [Amended]

0
12. Section 412.88 is amended in paragraph (a)(2)(ii)(A) introductory 
text by removing the phrase ``paragraph (a)(2)(ii)(B) of'' and adding 
in its place the phrase ``paragraphs (a)(2)(ii)(B) and (C) of''.


Sec.  412.90  [Amended]

0
13. Section 412.90 paragraph (j) is amended by removing the date 
``October 1, 2025'' and adding in its place the date ``January 1, 
2027''.


Sec.  412.101  [Amended]

0
14. Section 412.101 is amended by--
0
a. In paragraph (b)(2)(i), removing the phrase ``FY 2010 and FY 2026 
and subsequent years,'' and adding in its place the phrase ``FY 2010 
and the portion of FY 2027 beginning January 1, 2027, and subsequent 
fiscal years,'';

[[Page 19769]]

0
b. In paragraph (b)(2)(iii), removing the phrase ``FY 2025,'' and 
adding in its place the phrase ``the portion of FY 2027 ending December 
31, 2026,'';
0
c. In paragraph (c)(1), removing the phrase ``FY 2010 and FY 2026 and 
subsequent years,'' and adding in its place the phrase ``FY 2010 and 
the portion of FY 2027 beginning January 1, 2027, and subsequent fiscal 
years,''; and
0
d. In paragraph (c)(3) introductory text, removing the phrase ``FY 2019 
through FY 2025,'' and adding in its place ``FY 2019 through the 
portion of FY 2027 ending December 31, 2026,''.
0
15. Section 412.105 is amended by revising paragraph (f)(1)(i) to read 
as follows:


Sec.  412.105  Special treatment: Hospitals that incur indirect costs 
for graduate medical education programs.

* * * * *
    (f) * * *
    (1) * * *
    (i) The resident must be enrolled in an approved teaching program. 
An approved teaching program is one that meets one of the following 
requirements, subject to the requirements in Sec.  413.84 of this 
chapter:
    (A) Is approved by one of the national organizations listed in 
Sec.  415.152 of this chapter.
    (B) May count towards certification of the participant in a 
specialty or subspecialty listed in the current edition of either of 
the following publications:
    (1) The Directory of Graduate Medical Education Programs published 
by the American Medical Association.
    (2) The Annual Report and Reference Handbook published by the 
American Board of Medical Specialties.
    (C) Is approved by the Accreditation Council for Graduate Medical 
Education (ACGME), or other organization designated by the Secretary, 
as a fellowship program in geriatric medicine.


Sec.  412.108  [Amended]

0
16. Section 412.108 is amended by--
0
a. In paragraph (a)(1) introductory text, removing the date ``October 
1, 2025'' and adding in its place the date ``January 1, 2027''; and
0
b. In paragraph (c)(2)(iii) introductory text, removing the date 
``October 1, 2025'' and adding in its place the date ``January 1, 
2027''.


Sec.  412.116  [Amended]

0
17. Section 412.116 is amended in paragraph (c) by removing the phrase 
``for kidney acquisition costs in hospitals with approved kidney 
transplant programs)'' and adding in its place the phrase ``for organ 
acquisition costs in hospitals with approved organ transplant 
programs)''.
0
18. Section 412.230 is amended by--
0
a. In paragraph (a)(5)(i) removing the phrase ``purposes of the wage 
index if the pre-reclassified'' and adding in its place the phrase 
``purposes of the wage index if, using data described in paragraph 
(d)(2) of this section, the pre-reclassified'';
0
b. Revising paragraph (c)(1); and
0
c. Adding paragraph (d)(6).
    The revision and addition read as follows:


Sec.  412.230  Criteria for an individual hospital seeking 
redesignation to another rural area or an urban area.

* * * * *
    (c) * * *
    (1) To demonstrate proximity to the area, the hospital must submit 
evidence from a nationally recognized electronic mapping service of the 
shortest route from the front entrance of the hospital over improved 
roads or waterways traveled by ferry boats to the county line of the 
requested area and the distance of that route.
* * * * *
    (d) * * *
    (6) Home area reclassification exception. The requirements of 
paragraph (d)(1)(iv) of this section do not apply to a hospital that 
has been granted redesignation as rural under Sec.  412.103 and seeks 
redesignation under this section to its geographic urban area.

PART 413--PRINCIPLES OF REASONABLE COST REIMBURSEMENT; PAYMENT FOR 
END-STAGE RENAL DISEASE SERVICES; OPTIONAL PROSPECTIVELY DETERMINED 
PAYMENT RATES FOR SKILLED NURSING FACILITIES

0
19. The authority citation for part 413 continues to read as follows:

    Authority: 42 U.S.C. 1302, 1395d(d), 1395f(b), 1395g, 1395l(a), 
(i), and (n), 1395x(v), 1395hh, 1395rr, 1395tt, and 1395ww.

0
20. Section 413.5 is amended by adding paragraphs (c)(10) through 
(c)(19) to read as follows:


Sec.  413.5  Cost reimbursement: General.

* * * * *
    (c) * * *
    (10) Costs incurred by providers for entertainment, including costs 
associated with entertainment activities, or that are entertainment in 
nature, are not allowable costs.
    (i) This paragraph (c)(10) includes costs that OPOs incur to engage 
in public education to increase awareness of organ donation and 
increase donor registration.
    (ii) Non-allowable entertainment costs include, but are not limited 
to the following:
    (A) Tickets, admission fees, or entry to sporting or other events, 
including national or professional sporting events.
    (B) Sponsorship of sporting events, teams or athletes, including 
race car drivers or motorsports activities.
    (C) Sponsorship of floats in national parades.
    (D) Concert, theater, or performing arts events, professional 
musicians or other entertainers.
    (E) Wine tours or alcoholic beverages.
    (F) Retreats held at spas or luxury resorts, spa services or 
treatments.
    (G) Golf outings, ski trips, cruises, and similar recreational 
excursions.
    (11) Costs incurred by OPOs to engage in public education within 
its donation service area to increase awareness of organ donation and 
increase donor registration are allowable if they are reasonable and do 
not violate paragraph (c)(10) of this section.
    (12) Costs incurred by providers for anyone for purposes of 
employee and non-employee entertainment activities and employee morale 
which include, but are not limited to, picnics, parties, performers, 
entertainment, award ceremonies or the sponsorship of scholarships or 
athletic programs are not allowable costs.
    (13) Costs incurred by providers to furnish alcoholic beverages to 
anyone are not allowable costs.
    (14) Costs incurred by OPOs--
    (14) Costs incurred by OPOs--
    (i) For professional education such as meetings, seminars, and 
presentations on organ donation to acquire all useable organs from 
potential donors where continuing education credits are not given and 
where the attendee is clinical staff such as OPO staff, donor hospital 
staff, and physicians are allowable costs; and
    (ii) For OPO-sponsored seminars where continuing education credits 
are given and where the attendee is on the OPO staff are allowable 
costs to the extent that they are patient care related, reasonable and 
necessary; and
    (iii) For OPO-sponsored seminars where continuing education credits 
are given and where the attendee is not on the OPO staff, in accordance 
with Sec.  413.402(d)(2)(v) are not allowable costs.
    (15) Costs incurred by providers--
    (i) For employee travel are generally allowable to the extent that 
they are patient care related, reasonable and necessary. Costs for 
travel not related to patient care are not allowable costs;

[[Page 19770]]

    (ii) To conduct, or send its employees or staff to, patient care 
related professional education refresher programs, seminars and 
workshops that increase the quality of patient care or operating 
efficiency of the provider, are generally allowable costs to the extent 
that they are patient care related, reasonable and necessary;
    (iii) For entertainment and vacation travel expenses such as travel 
on cruises or to resorts or spas, or transportation to entertainment or 
sporting events, are not allowable costs regardless of whether they are 
or are not incurred in connection with professional educational 
seminars or continuing education; and
    (iv) Related to the personal use of provider vehicles are not 
allowable costs.
    (16) Costs incurred by providers--
    (i) For meals sold to visitors, meals for their employees and staff 
(including executives and management) and non-personnel (including 
attending physicians) are not allowable costs.
    (ii) For meals and refreshments provided to attendees at 
educational events, including attendees of OPO-sponsored seminars (with 
or without continuing education credits) are not allowable costs.
    (17) Costs incurred by providers for drugs sold to other than 
patients are not related to patient care and are not allowable costs.
    (18) Costs incurred by providers for cost of fines or penalties 
resulting from Federal, State or local laws are not allowable costs.
    (19) Costs incurred by providers for operation of a gift shop are 
not allowable costs.
* * * * *
0
21. Section 413.9 is amended by adding paragraphs (b)(3) and (c)(4) to 
read as follows:


Sec.  413.9  Cost related to patient care.

* * * * *
    (b) * * *
    (3) Prudent buyer. The prudent buyer is a person, provider type or 
entity that purchases items or property with caution, good judgment, 
and a sensible approach, aiming to make a sound, informed decision that 
minimizes risk and avoids unnecessary financial loss. This person, 
provider type or entity thoughtfully evaluates the condition, legal, 
and financial aspects of a purchase, much like a reasonably prudent 
person would in a similar situation.
    (c) * * *
    (4) Providers are expected to economize by not paying more than the 
going price for an item or service and seeking to minimize their costs, 
so that their actual costs will not exceed what a prudent and cost-
conscious buyer would pay for a given item or service. If costs are 
determined to exceed the level that prudent buyers incur, the excess 
costs are not reimbursable in the absence of clear evidence that the 
higher costs were unavoidable.
0
22. Section 413.24 is amended by adding paragraph (d)(8) to read as 
follows:


Sec.  413.24  Adequate cost data and cost finding.

* * * * *
    (d) * * *
    (8) Improper allocation of overhead prohibited. Providers must not 
include a statistical cost which does not relate to the allocation of 
administrative and general expenses when it causes an improper 
distribution of overhead.
    (i) Providers must employ either or both methods described in 
paragraphs (d)(8)(ii) or (iii) of this section, if needed, to prevent 
the improper allocation of overhead on the Medicare cost report.
    (ii) Negative Adjustment Method for accumulated cost. When direct 
costs are reported in a cost center or department that includes 
purchased services or supplies, costs other than the purchased service 
costs may receive an allocation of administrative and general costs, 
and the purchased service costs that are not to receive administrative 
and general must be identified and removed.
    (A) On the Medicare cost report, in any column using accumulated 
costs as the statistical basis for allocating costs, providers must 
identify any cost center that is not to receive an allocation by 
entering a negative 1 (-1) on the appropriate line in the accumulated 
cost column, or by entering the total accumulated cost as a negative 
amount on the appropriate line in the reconciliation column. For those 
cost centers using accumulated costs that are to receive partial 
allocation of costs, providers must enter a negative amount for the 
costs that are to be excluded from the statistic on the appropriate 
line in the reconciliation column.
    (B) Cost centers that are not to receive an allocation must not 
have entries in both the reconciliation and accumulated cost columns 
when the accumulated cost statistic is offset to zero.
    (C) For those cost centers that are to receive partial allocation 
of costs for costs other than purchased services, the cost to be 
excluded from the accumulated cost statistic must be reported as a 
negative amount on the effected cost center in the reconciliation 
column. This results in entries in both the reconciliation column and 
accumulated cost statistic column simultaneously for the same line 
(cost center).
    (iii) Fragmenting (componentizing): Administrative and General 
Method. When a provider chooses to fragment, or componentize 
administrative and general costs, the provider must fragment (that is, 
subscript), the administrative and general cost center into 2 or more 
cost centers using accurate statistics to allocate its costs and ensure 
that overhead costs are accurately assigned to departments benefiting 
from the services provided. When creating multiple administrative and 
general cost centers, a provider must track and allocate overhead 
expenses based on actual resource consumption.
    (iv) Provider request to change its cost finding method.
    (A) A provider that wishes to change its cost finding method must 
submit a request to its contractor, in writing, 90 days prior to the 
end of the cost reporting period to which the provider's request for 
change applies.
    (B) The contractor's determination of a provider's request to 
change methods will be furnished to the provider in writing and will be 
binding on the provider as of the date of the contractor's written 
notice.
    (C) When the contractor approves the provider's request to change 
methods, the provider must use this method for the cost reporting 
period to which the request applies and for all subsequent cost 
reporting periods, unless the contractor approves a subsequent request 
by the provider to change its cost finding methods.
* * * * *


Sec.  413.65  [Amended]

0
23. Section 413.65 is amended by:
0
a. In paragraph (e)(3)(iii)(A) removing the phrase ``the facility or 
organization'' and adding in its place the phrase ``an inpatient or 
outpatient facility or organization''; and
0
b. In paragraph (e)(3)(iii)(B) removing the phrase ``the facility or 
organization'' and adding in its place the phrase ``an outpatient 
facility or organization''.
0
24. Section 413.75 is amended in paragraph (b) by revising the 
definitions for ``Approved geriatric program'' and ``Approved medical 
residency program'' to read as follows:


Sec.  413.75  Direct GME payments: General requirements.

* * * * *
    (b) * * *
* * * * *

[[Page 19771]]

    Approved geriatric program means, subject to the requirements in 
Sec.  413.84 of this chapter, a fellowship program of one or more years 
in length that is approved by one of the national organizations listed 
in Sec.  415.152 of this chapter under that respective organization's 
criteria for geriatric fellowship programs.
    Approved medical residency program means, subject to the 
requirements in Sec.  413.84 of this chapter, a program that meets one 
of the following criteria:
    (i) Is approved by one of the national organizations listed in 
Sec.  415.152 of this chapter.
    (ii) May count towards certification of the participant in a 
specialty or subspecialty listed in the current edition of either of 
the following publications:
    (A) The Directory of Graduate Medical Education Programs published 
by the American Medical Association, and available from American 
Medical Association, Department of Directories and Publications, 515 
North State Street, Chicago, Illinois 60610.
    (B) The Annual Report and Reference Handbook published by the 
American Board of Medical Specialties, and available from American 
Board of Medical Specialties, One Rotary Center, Suite 805, Evanston, 
Illinois 60201.
    (iii) Is approved by the Accreditation Council for Graduate Medical 
Education (ACGME), or other organization designated by the Secretary, 
as a fellowship program in geriatric medicine.
* * * * *
0
25. Section 413.79 is amended by revising paragraph (l) to read as 
follows:


Sec.  413.79  Direct GME payments: Determination of the weighted number 
of FTE residents.

* * * * *
    (l) For purposes of this section, a new medical residency training 
program means a program that receives initial accreditation by the 
appropriate accrediting body or begins training residents on or after 
January 1, 1995, and that meets the following conditions:
    (1) Subject to the provisions of paragraphs (l)(2) and (l)(3) of 
this section, effective for programs started on or after October 1, 
2026, at least 90 percent of the individual residents that participate 
in the program during the 5-year cap building period (that is, for new 
urban teaching hospitals, during the first 5 program years of the first 
new program's existence under paragraph (e)(1) of this section; and for 
rural hospitals, during the first 5 program years of each new program 
under paragraph (e)(3) of this section) must not have previous 
experience training in another program in the same specialty.
    (2) For purposes of determining whether a program satisfies the 
requirement under paragraph (l)(1) of this section, the count of 
individual residents excludes an individual--
    (i) With previous experience training in another program in the 
same specialty who enters the program as a first-year resident through 
the National Resident Matching Program or another binding third-party 
resident matching program; or
    (ii) Who meets the definition of a ``displaced resident'' under 
paragraph (h)(1)(iii) of this section.
    (3) The requirement under paragraph (l)(1) of this section does not 
apply to a program accredited for 16 or fewer resident positions.
* * * * *
0
26. Section 413.84 is added to read as follows:


Sec.  413.84  Prohibition against unlawful discrimination.

    (a) An approved medical residency training program, as defined in 
Sec. Sec.  412.105(f)(1)(i), 413.75(b), and 415.152 of this chapter, or 
an approved nursing and allied health education program, as defined in 
Sec.  413.85 of this chapter, must not discriminate, or promote or 
encourage discrimination, on the basis of race, color, national origin, 
sex, age, disability, or religion, including the use of those 
characteristics or intentional proxies for those characteristics as a 
selection criterion for employment, program participation, resource 
allocation, or similar activities, opportunities, or benefits.
    (b) An accrediting organization of approved medical residency 
training programs under Sec. Sec.  412.105(f)(1)(i), 413.75(b), and 
415.152 of this chapter, or of approved nursing and allied health 
education programs under Sec.  413.85 of this chapter, and any 
publications cited in the regulations that list specialties or 
subspecialties of such programs, must not use criteria that 
discriminate, or promote or encourage discrimination, on the basis of 
race, color, national origin, sex, age, disability, or religion, 
including the use of those characteristics or intentional proxies for 
those characteristics as a selection criterion for employment, program 
participation, resource allocation, or similar activities, 
opportunities, or benefits.
    (c) Approved medical residency training programs and approved 
nursing and allied health education programs include programs that 
would be accredited except for the accrediting agency's reliance upon 
an accreditation standard that requires an entity to--
    (1) Discriminate, or promote or encourage discrimination, on the 
basis of race, color, age, disability, or religion, including the use 
of those characteristics or intentional proxies for those 
characteristics as a selection criterion for employment, program 
participation, resource allocation, or similar activities, 
opportunities, or benefits; or
    (2) Perform an induced abortion or require, provide, or refer for 
training in the performance of induced abortions, or make arrangements 
for such training, regardless of whether the standard provides 
exceptions or exemptions.
0
 27. Section 413.85 is amended by--
0
a. In paragraph (c), revising the definition of ``Approved educational 
activities'' introductory text; and
0
b. Revising paragraphs (d)(2) and (e).
    The revisions read as follows:


Sec.  413.85  Cost of approved nursing and allied health education 
activities.

* * * * *
    (c) * * *
    Approved educational activities means, subject to the requirements 
in Sec.  413.84 of this chapter, formally organized or planned programs 
of study of the type that--
* * * * *
    (d) * * *
    (2) * * *
    (i) Subject to the provisions of paragraphs (d)(2)(ii) and (iii) of 
this section, the net cost of approved educational activities is 
determined as follows:
    (A) Determine allowable direct costs incurred by the provider for 
trainee stipends and compensation of faculty employed by the provider.
    (B) Subtract from those direct costs the revenues the provider 
receives from students or on behalf of students enrolled in the 
program, such as, but not limited to, tuition, student fees, or 
textbooks purchased for resale.
    (C) Allocate indirect costs of the activities as determined under 
the Medicare cost-finding principles in Sec.  413.24, limited to those 
costs that the provider itself incurs as a consequence of operating the 
approved educational activities.
    (ii) The direct and indirect allowable costs of educational 
activities do not include patient care costs, costs incurred by a 
related organization, or costs that constitute a redistribution of 
costs from an educational institution to a provider or costs that have 
been or are currently being provided through community support.
* * * * *

[[Page 19772]]

    (e) Approved nursing and allied health education programs. Subject 
to the requirements in Sec.  413.84 of this chapter, CMS will consider 
an activity an approved nursing and allied health education program if 
the program is a planned program of study that is licensed by State 
law, or if licensing is not required, is accredited by the recognized 
national professional organization for the particular activity.
* * * * *
0
28. Section 413.402 is amended by revising paragraph (a) and (d)(2)(v) 
to read as follows:


Sec.  413.402  Organ acquisition costs.

    (a) Costs related to organ acquisition. Costs recognized in 
paragraph (b) of this section are allowable costs incurred in the 
acquisition of organs intended for transplant, including those organs 
that are subsequently determined unsuitable for transplant and 
furnished for research from a living donor or a deceased donor by the 
hospital, or from a deceased donor by an OPO. Additionally, there are 
administrative and general costs that may be allowable and included on 
the cost report for an OPO or a TH. Costs incurred by OPOs for public 
education within its donation service area in accordance with Sec.  
413.5(c)(11) and professional education in accordance with Sec.  
413.5(c)(14)(iii) are allowable overhead costs and are included on the 
cost report for an OPO.
* * * * *
    (d) * * *
    (2) * * *
    (v) Costs associated with and incurred for OPO-sponsored seminars 
where continuing education credits are given and where the attendee is 
not on the OPO's staff (as described at Sec.  486.326(b)). Costs 
incurred by OPOs for public education within their donation service 
area in accordance with Sec.  413.5(c)(11) and professional education 
in accordance with Sec.  413.5(c)(14)(iii) are allowable overhead 
costs.
* * * * *
0
29. Section 413.404 is amended by--
0
a. In paragraph (b)(3)(ii)(A) removing the phrase ``average cost'' and 
adding in its place the phrase ``average organ acquisition cost'';
0
b. Adding paragraph (b)(3)(ii)(C)(8);
0
c. Revising paragraph (c) introductory text; and
0
d. Adding paragraph (d);
    The additions and revision read as follows:


Sec.  413.404  Standard acquisition charge.

* * * * *
    (b) * * *
    (3) * * *
    (ii)* * *
    (C) * * *
    (8) Registry fees as specified in Sec.  413.402(b)(6) of this 
subpart.
    (c) Independent OPO SACs, for cost reporting periods beginning 
before October 1, 2027--
* * * * *
    (d) Independent OPO organ SACs, for cost reporting periods 
beginning on or after October 1, 2027--
    (1) General. For each organ type, the contractor establishes the 
organ-specific SAC based on an estimate of initial year projected or 
subsequent years' actual, reasonable and necessary costs that the IOPO 
expects to incur to procure deceased donor organs during the IOPO's 
cost reporting period, divided by the initial year projected or 
subsequent years' actual, number of usable deceased donor organs the 
IOPO expects to procure.
    (i) Initial year. For each organ type, the contractor develops the 
IOPO's initial organ-specific SAC, based on the IOPO's budget 
information.
    (ii) Subsequent years. For each organ type, the contractor computes 
the organ-specific SAC for subsequent years using the IOPO's costs 
related to organ acquisition that were incurred in the prior cost 
reporting period and dividing those costs by the number of usable 
deceased donor organs procured during that cost reporting period.
    (iii) Relationship to interim payments. Each organ-specific SAC 
amount is the organ-specific interim payment the TH or other OPO pays 
to the IOPO, as set forth in Sec.  413.420(d)(2)(i) and (ii).
    (iv) Costs to develop the IOPO deceased donor SACs. Costs that may 
be used to develop the IOPO deceased donor SACs include, but are not 
limited to the following:
    (A) Costs of organs acquired from other THs or OPOs.
    (B) Costs of transportation as specified in Sec.  413.402(b)(8).
    (C) Surgeons' fees for excising deceased donor organs (limited to 
$1,250 for kidneys).
    (D) Costs of tissue typing services, including those furnished by 
independent laboratories.
    (E) Organ preservation and perfusion costs.
    (F) General routine and special care service costs (for example, 
intensive care unit or critical care unit services related to the 
donor).
    (G) Operating room and other inpatient ancillary service costs.
    (v) SAC adjustments. Only the contractor may adjust the organ SACs. 
IOPOs may request that the contractor make an adjustment in accordance 
with Sec.  413.64(e), or the contractor may initiate an adjustment, in 
accordance with Sec.  413.64(d)(2) or Sec.  413.64(e), as applicable.
    (2) Billing SACs for organs generally. When an IOPO obtains an 
organ from another IOPO, the receiving IOPO is responsible for paying 
the procuring IOPO's SAC. The receiving IOPO uses its SAC for each 
organ type, and not the procuring IOPO's SAC, when billing the TH 
receiving the organ.
0
30. Section 413.420 is amended by--
0
a. Revising the section heading and paragraphs (a), (c) introductory 
text, (c)(1) introductory text, (c)(1)(ii) and (iv);
0
b. In paragraph (c)(2), removing the phrase ``IOPO or laboratory'' and 
adding in its place the phrase ``IOPO or HCL'';
0
c. Revising paragraph (d);
0
d. In paragraph (e)(1) introductory text removing the phrase ``IOPOs 
and histocompatibility laboratories'' and adding in its place the 
phrase ``IOPOs and HCLs'';
0
e. In paragraph (e)(1)(i) removing the phrase ``IOPO or laboratory'' 
and adding in its place the phrase ``IOPO or HCL'';
0
f. In paragraph (e)(2) introductory text removing the phrase ``IOPO or 
histocompatibility laboratory'' and adding in its place the phrase 
``IOPO or HCL'';
0
g. Revising paragraphs (e)(2)(i) and (ii);
0
h. Adding paragraph (e)(3); and
0
i. Revising paragraph (g).
    The revisions and additions read as follows:


Sec.  413.420  Payment to independent organ procurement organizations 
(IOPOs) and histocompatibility laboratories (HCLs) for organ 
acquisition costs.

    (a) * * *
    (1) Covered services furnished by IOPOs and HCLs in connection with 
organ acquisition and transplantation are reimbursed under the 
principles for determining reasonable cost contained in this part as 
follows:
    (i) For kidney acquisition and transplantation services, IOPOs and 
HCLs are reimbursed under the principles for determining reasonable 
cost.
    (ii) For non-renal organ acquisition and transplantation services 
furnished for cost reporting periods beginning on or after October 1, 
2027, IOPOs and HCLs are reimbursed under the principles for 
determining reasonable cost.
    (2) Services furnished by IOPOs and HCLs, that have an agreement 
with the Secretary in accordance with paragraph (c) of this section, 
are paid directly by

[[Page 19773]]

the TH or OPO using a kidney SAC (for an IOPO) or contractor-
established rates (for an HCL). (The reasonable costs of services 
furnished by IOPOs or HCLs are reimbursed in accordance with the 
principles contained in Sec. Sec.  413.60 and 413.64.)
* * * * *
    (c) Agreements with IOPOs and HCLs.
    (1) Any IOPO or HCL that wishes to have the cost of its pre-
transplant services reimbursed under the Medicare program must file an 
agreement with CMS under which the IOPO or HCL agrees to do all of the 
following:
* * * * *
    (ii) To permit CMS to designate a contractor to determine the 
interim reimbursement rate, payable by the THs or OPOs for services 
provided by the IOPO or HCL, and to determine Medicare's reasonable 
cost based upon the cost report filed by the IOPO or HCL.
* * * * *
    (iv) To pay to CMS amounts that have been received or are 
receivable by IOPOs or HCLs from THs and OPOs, and that are determined 
to be in excess of the reasonable cost of the services provided by the 
IOPO or HCL.
* * * * *
    (d) * * *
    (1) THs with approved transplant programs and OPOs pay the IOPO or 
HCL for their pre-transplantation services on the basis of interim 
rates established by the contractor for that IOPO or HCL, as follows:
    (i) THs with approved kidney transplant programs and OPOs pay the 
IOPO or HCL for their kidney pre-transplantation services, based on 
interim rates established by the contractor for that IOPO or HCL.
    (ii) THs with approved non-renal transplant programs and OPOs pay 
the IOPO or HCL for their non-renal organ pre-transplantation services 
furnished for cost reporting periods beginning on or after October 1, 
2027, based on interim rates established by the contractor for that 
IOPO or HCL.
    (2) The interim rates are contractor established rates, based on 
costs associated with procuring an organ for transplantation incurred 
by an IOPO or HCL, respectively, during its previous fiscal year, as 
follows:
    (i) The interim rates for kidneys are a contractor established 
kidney SAC or contractor established rates, based on costs associated 
with procuring kidneys for transplantation, incurred by an IOPO or HCL, 
respectively, during its previous fiscal year. If there is not adequate 
cost data to determine the initial interim rate, the contractor 
determines it according to the IOPO's or HCL's estimate of its 
projected costs for the fiscal year.
    (ii) For services furnished for cost reporting periods beginning on 
or after October 1, 2027, the interim rates for non-renal organs are 
contractor established non-renal organ-specific SACs or contractor 
established rates, based on costs associated with procuring each 
specific type of non-renal organ for transplantation incurred by an 
IOPO or HCL, respectively, during its previous fiscal year. If there is 
not adequate cost data to determine the initial interim rates, the 
contractor determines them according to the IOPO's or HCL's estimate of 
its projected costs for the fiscal year.
    (3) Payments or amounts payable from THs and OPOs based on interim 
rates specified in paragraph (d)(2)(i) of this section are reconciled 
directly with the IOPO or HCL after the close of the IOPO's or HCL's 
fiscal year in accordance with Sec.  413.420(e). For cost reporting 
periods beginning on or after October 1, 2027, payments or amounts 
payable from THs and OPOs based on interim rates specified in paragraph 
(d)(2)(ii) of this section are reconciled directly with the IOPO or HCL 
after the close of the IOPO's or HCL's fiscal year in accordance with 
Sec.  413.420(e).
    (4) When a contractor establishes interim rates for IOPOs and HCLs, 
it must disseminate those interim rates to all THs, OPOs, and 
contractors.
    (e) * * *
    (2) * * *
    (i) Retroactive adjustment. A retroactive adjustment of the amounts 
received or receivable by the IOPO or HCL under the kidney interim rate 
is made in accordance with Sec.  413.64(f).
    (ii) Lump sum adjustment. If the determination of reasonable cost 
reveals an overpayment or underpayment resulting from the kidney 
interim reimbursement rate received or receivable by the IOPO or HCL 
from THs and OPOs, a lump sum adjustment is made directly between the 
contractor and the IOPO or HCL.
    (3) Audit and adjustment for cost reporting periods beginning on or 
after October 1, 2027. A cost report submitted by an IOPO or HCL is 
reviewed by the contractor and new interim reimbursement rates for non-
renal organ acquisition costs for the subsequent fiscal year are 
established by the contractor based upon this review.
    (i) Retroactive adjustment. A retroactive adjustment of the amounts 
received or receivable by the IOPO or HCL under the non-renal organ-
specific interim rates is made in accordance with Sec.  413.64(f).
    (ii) Lump sum adjustment. If the determination of reasonable cost 
reveals an overpayment or underpayment resulting from the non-renal 
organ-specific interim reimbursement rates received or receivable by 
the IOPO or HCL from THs and OPOs, a lump sum adjustment is made 
directly between the contractor and the IOPO or HCL.
* * * * *
    (g) Appeals. If the amount in controversy is $1,000 or more, any 
IOPO or HCL that disagrees with a contractor's cost determination under 
this section is entitled to a contractor hearing, review of the 
contractor hearing officer's decision by a CMS reviewing official, and 
Administrator Review of a CMS reviewing official's decision, in 
accordance with the procedures set forth in Sec. Sec.  405.1801(b)(2) 
and 405.1811 through 405.1834 of this chapter.

PART 415--SERVICES FURNISHED BY PHYSICIANS IN PROVIDERS, 
SUPERVISING PHYSICIANS IN TEACHING SETTINGS, AND RESIDENTS IN 
CERTAIN SETTINGS

0
31. The authority citation for part 415 continues to read as follows:

    Authority: 42 U.S.C. 1302 and 1395h(h).
0
32. Section 415.152 is amended in the definition of ``Approved graduate 
medical education (GME) program'' by revising the introductory text and 
paragraph (1) to read as follows:


Sec.  415.152  Definitions.

* * * * *
    Approved graduate medical education (GME) program means, subject to 
the requirements in Sec.  413.84 of this chapter, one of the following:
    (1) A residency program approved by the Accreditation Council for 
Graduate Medical Education, by the American Osteopathic Association, by 
the Commission on Dental Accreditation of the American Dental 
Association, or by the Council on Podiatric Medical Education of the 
American Podiatric Medical Association, or other organization 
determined by the Secretary.
* * * * *

PART 419--PROSPECTIVE PAYMENT SYSTEMS FOR HOSPITAL OUTPATIENT 
DEPARTMENT SERVICES

0
33. The authority citation for part 419 continues to read as follows:

    Authority: 42 U.S.C. 1302, 1395l(t), and 1395hh.
0
34. Section 419.66 is amended by revising paragraph (c)(2)(ii) to read 
as follows:

[[Page 19774]]

Sec.  419.66  Transitional pass-through payments: Medical devices.

* * * * *
    (c) * * *
    (2) * * *
    (ii) For devices for which pass-through payment status began on or 
after January 1, 2020, and on or before January 1, 2028 for 
applications received through September 30, 2026, as an alternative 
pathway to paragraph (c)(2)(i) of this section, a new device is part of 
the Food and Drug Administration's (FDA's) Breakthrough Devices Program 
and has received marketing authorization for the indication covered by 
the Breakthrough Device designation.

PART 495--STANDARDS FOR THE ELECTRONIC HEALTH RECORD TECHNOLOGY 
INCENTIVE PROGRAM

0
34. The authority citation for part 495 continues to read as follows:

    Authority: 42 U.S.C. 1302 and 1395hh.
0
35. Section 495.4 is amended in the definition of ``Certified 
electronic health record technology (CEHRT)'' by revising paragraphs 
(2)(i) and (2)(ii)(A) in introductory text to read as follows:


Sec.  495.4   Definitions.

    Certified electronic health record technology (CEHRT) * * *
    (2) * * *
    (i) For 2019 through 2026, at 45 CFR 170.315(a)(12) (family health 
history) and 45 CFR 170.315(e)(3) (patient health information capture); 
and
    (ii) * * *
    (A) For 2019 through 2026, the applicable measure calculation 
certification criterion at 45 CFR 170.315(g)(1) or (2) for all 
certification criteria that support a meaningful use objective with a 
percentage-based measure.
* * * * *


Sec.  495.40  [Amended]

0
36. Section 495.40 is amended in paragraph (b)(2)(i)(I) introductory 
text by removing the phrase '' To engage'' and adding in its place the 
phrase ``Through CY 2026, to engage''.

PART 512--STANDARD PROVISIONS FOR MANDATORY INNOVATION CENTER 
MODELS AND SPECIFIC PROVISIONS FOR CERTAIN MODELS

0
37. The authority citation for part 512 continues to read as follows:

    Authority:  42 U.S.C. 1302, 1315a, and 1395hh.
0
38. Section 512.505 is amended by --
0
a. Adding definitions for ``APC update factor'' and ``MS-DRG update 
factor'' in alphabetical order;
0
b. Revising definition for ``Spinal fusion''; and
0
c. Adding definition for ``Updated prospective trend factor'' in 
alphabetical order.
    The additions and revision read as follows:


Sec.  512.505  Definitions.

* * * * *
    APC update factor refers to a component applied to the prospective 
trend factor to ensure that the APC weights corresponding to the 
performance year are incorporated into the target price calculations, 
as set forth in Sec.  512.540(b)(7).
* * * * *
    MS-DRG update factor refers to a component applied to the 
prospective trend factor for episodes with anchor hospitalization or 
anchor procedure end dates in the fourth quarter of the performance 
year to account for changes in MS-DRG definitions and weights between 
the first and second fiscal years in the performance year, as set forth 
in Sec.  512.540(b)(7).
* * * * *
    Spinal fusion means any cervical, thoracic, or lumbar spinal fusion 
procedure paid through either of the following:
    (1) The IPPS under--
    (i) MS-DRG 402, 426, 427, 428, 429, 430, 447, 448, 450, 451, 471, 
472, 473; and
    (ii) On or after October 1, 2026 MS-DRG 523, 524, 525.
    (2) The OPPS under HCPCS codes 22551, 22554, 22612, 22630, or 
22633.
* * * * *
    Updated prospective trend factor refers to the multiplier 
incorporated into the preliminary target price to estimate changes in 
spending patterns between the baseline period and the corresponding 
calendar year and fiscal year in the performance year, calculated as 
set forth in Sec.  512.540(b)(7).
* * * * *
0
X. Section 512.525 is amended by revising paragraph (d)(4)(i) to read 
as follows:


Sec.  512.525  Episodes.

    (d) * * *
    (4) * * *
    (i) IPPS discharge under--
    (A) MS-DRG 402, 426, 427, 428, 429, 430, 447, 448, 450, 451, 471, 
472, 473; and
    (B) On or after October 1, 2026 MS-DRG 523, 524, 525; or
* * * * *
0
39. Section 512.537 is amended by adding paragraph (b)(4) to read as 
follows:


Sec.  512.537  Determination of the episode.

    (b) * * *
    (4) The beneficiary is in a CJR-X episode and has a procedure 
performed at a TEAM participant during the 90-day post-discharge period 
after a CJR-X anchor hospitalization or CJR-X anchor procedure.
* * * * *
0
40. Section 512.540 is amended by--
0
a. In paragraph (a)(1)(i) by removing the phrase ``the 24 MS-DRGs'' and 
adding in its place the phrase ``the MS-DRGs''; and
0
b. Revising paragraphs (b)(6) through (8).
    The revisions read as follows:


Sec.  512.540  Determination of preliminary target prices.

    (b) * * *
    (6) Prospective normalization factor. Based on the episodes in the 
most recent calendar year of the baseline period for performance year 1 
and for the entire baseline period starting in performance year 2, CMS 
calculates a prospective normalization factor at the MS-DRG/HCPCS 
region level, which is a multiplier that ensures that the average of 
the total risk-adjusted benchmark price does not exceed the average of 
the total non-risk adjusted benchmark price, by doing the following:
    (i) CMS applies risk adjustment multipliers, as specified in Sec.  
512.545(a)(1) through (3), to the most recent baseline year episodes 
for performance year 1 and to the entire baseline period episodes 
starting in performance year 2, to calculate the estimated risk-
adjusted target price for all performance year episodes.
    (ii) CMS divides the mean of the benchmark price for each episode 
across all hospitals and regions by the mean of the estimated risk-
adjusted benchmark price calculated in Sec.  512.540(b)(6)(i) for the 
same episode types across all hospitals and regions.
    (7) Prospective and updated trend factors.
    (i) Prospective trend factor. The prospective trend factor for each 
MS-DRG/HCPCS episode type and region is the average (arithmetic mean) 
of the multiplier, as calculated in paragraph (b)(7)(i) of this 
section, for that MS-DRG/HCPCS episode type and region and the national 
average for that MS-DRG/HCPCS episode type.
    (A) CMS calculates a multiplier for each MS-DRG/HCPCS episode type 
and region which is applied to the most recent calendar year of the 
applicable baseline period.
    (B) The multiplier is calculated using linear regression on the 
logarithmically

[[Page 19775]]

transformed average regional spending for each MS-DRG/HCPCS episode 
type in the baseline years and trend years at both the regional and 
national level.
    (C) CMS exponentiates the coefficient from this regression to 
calculate the estimated annual change (where an exponentiated 
coefficient of 1 signifies no change) in average regional spending for 
each MS-DRG/HCPCS episode type from year to year.
    (D) CMS squares the value in paragraph (C) to calculate the 2-year 
prospective trend factor.
    (ii) Updated prospective trend factor. CMS calculates the updated 
prospective trend factor as the product of all the following factors:
    (A) The prospective trend factor specified in paragraph (b)(7)(i) 
of this section.
    (B) The APC update factor as specified in this paragraph (B). CMS 
calculates an APC update factor, after the corresponding calendar year 
inputs are published in the CY OPPS/ASC final rule, as the ratio of 
benchmark prices calculated with APC weights corresponding to the 
calendar year of the performance year to benchmark prices calculated 
with APC weights corresponding to the calendar year prior to the 
performance year.
    (C) The MS-DRG update factor as specified in this paragraph (C). 
CMS calculates an MS-DRG update factor, after the corresponding fiscal 
year inputs are published in the FY IPPS/LTCH PPS final rule, for 
episodes with anchor hospitalization or anchor procedure end dates in 
the fourth quarter of a performance year as the ratio of benchmark 
prices calculated with the second fiscal year inputs to benchmark 
prices calculated with the first fiscal year inputs.
    (8) Communication of preliminary target prices. CMS communicates 
the preliminary target prices for each MS-DRG/HCPCS episode type for 
each region, and the preliminary target prices for each MS-DRG/HCPCS 
episode type specific to the TEAM participant before the performance 
year in which they apply. CMS communicates the APC and MS-DRG update 
factors after the corresponding calendar year and second fiscal year 
inputs are published with the corresponding calendar year and fiscal 
year final payment rules.
* * * * *
0
41. Section 512.545 is amended by--
0
a. Revising paragraphs (d)(1) and(e)(1)(ii);
0
b. Adding paragraph (e)(1)(iii);
0
c. Redesignating paragraph (e) as paragraph (e)(2)(i);
0
d. Adding paragraph (e)(2)(ii); and
0
e. Revising paragraph (f).
    The revisions and additions read as follows:


Sec.  512.545  Determination of reconciliation target prices.

* * * * *
    (d)(1) At the time of reconciliation, the preliminary target prices 
computed under Sec.  512.540 are risk adjusted by applying the 
applicable beneficiary level and hospital-level risk adjustment factors 
specific to the beneficiary in the episode, as set forth in paragraphs 
(a)(1) through (6) of this section.
    (2) CMS applies the coefficients estimated with the assigned first 
fiscal year MS-DRG/HCPCS inputs, as determined in Sec.  512.550(c)(1), 
for episodes with anchor hospitalizations or anchor procedure end date 
in the fourth quarter of a performance year.
    (e) * * *
    (1) * * *
    (ii) Episodes with anchor hospitalization or anchor procedure end 
dates in the fourth quarter of a performance year are calculated 
specific to the assigned first and second fiscal year MS-DRG/HCPCS 
episode type and region combination, as determined in Sec.  
512.550(c)(1). The benchmark prices and risk adjustment coefficients 
are calculated with the assigned first fiscal year MS-DRG/HCPCS inputs 
and applied to the realized case mix of the second fiscal year MS-DRG/
HCPCS.
    (iii) As applied, cannot exceed 5 percent of the 
prospective normalization factor (as specified in Sec.  512.540(b)(6)).
    (2) * * *
    (ii) For episodes with anchor hospitalization or anchor procedure 
end dates in the fourth quarter of a performance year, the final 
normalization factor is applied to each assigned first and second 
fiscal year MS-DRG/HCPCS episode type and region combination.
    (f) CMS calculates a multiplier, referred to as the capped 
retrospective trend factor, for each MS-DRG/HCPCS episode type and 
region, which is applied during reconciliation to the most recent 
calendar year of the applicable baseline period.
    (1)(i) The retrospective trend factor is calculated as the average 
regional capped performance year episode spending for each MS-DRG/HCPCS 
episode type divided by the average regional capped baseline period 
episode spending for each MS-DRG/HCPCS episode type.
    (ii) For episodes with anchor hospitalization or anchor procedure 
end dates in the fourth quarter of a performance year, CMS calculates 
the retrospective trend factor as the average regional capped 
performance year episode spending specific to the second fiscal year 
MS-DRG/HCPCS episode type divided by the average regional capped 
baseline period episode spending calculated with the assigned first 
fiscal year MS-DRG/HCPCS inputs.
    (2) The retrospective trend factor is capped so that the maximum 
difference cannot exceed 3 percent of the updated 
prospective trend factor (as specified in Sec.  512.540(b)(7)).
    (3)(i) CMS applies the capped retrospective trend factor to the 
previously calculated normalized, risk adjusted target prices specific 
to each region and MS-DRG/HCPCS episode type, as specified in paragraph 
(e)(2) of this section, to calculate the reconciliation target prices, 
which are compared to performance year spending at reconciliation, as 
specified in Sec.  512.550(c).
    (ii) For episodes with anchor hospitalization or anchor procedure 
end dates in the fourth quarter of a performance year, the capped 
retrospective trend factor is applied specific to each assigned first 
and second fiscal year MS-DRG/HCPCS episode type and region 
combination.
0
42. Section 512.547 is amended by --
0
a. In paragraph (a)(1)(i), removing the phrase ``CY 2025'' and adding 
in its place the phrase ``July 1, 2024 through June 30, 2025'';
0
b. In paragraph (a)(1)(ii), removing the phrase ``CY 2025'' and adding 
in its place the phrase ``July 1, 2023 through June 30, 2025'';
0
c. In paragraph (a)(1)(iii), removing the phrase ``CY 2025'' and adding 
in its place ``the phrase July 1, 2024 through June 30, 2025'';
0
d. In paragraph (a)(2)(i), removing the phrase ``CY 2025'' and adding 
in its place the phrase ``July 1, 2025 through June 30, 2026'';
0
e. In paragraph (a)(2)(iv), removing the phrase ``CY 2026'' and adding 
in its place the phrase ``July 1, 2023 through June 30, 2025'';
0
f. In paragraph (a)(2)(v), removing the phrase ``CY 2025'' and adding 
in its place the phrase ``July 1, 2024 through June 30, 2025'';
0
g. In paragraph (a)(3) introductory text, removing the phrase ``years 3 
through 5:'' and adding in its place the phrase ``year 3:'';
0
h. In paragraph (a)(3)(i), removing the phrase ``CY 2025'' and adding 
in its place the phrase ``July 1, 2025 through June 30, 2026'';
0
i. In paragraph (a)(3)(ii), removing the phrase ``2026'' and adding in 
its place the phrase ``2027'';

[[Page 19776]]

0
j. In paragraph (a)(3)(iii), removing the phrase ``2026'' and adding in 
its place the phrase ``2027'';
0
k. In paragraph (a)(3)(iv), removing the phrase ``CY 2026'' and adding 
in its place the phrase ``July 1, 2024 through June 30, 2026'';
0
l. In paragraph (a)(3)(v), removing the phrase ``CY 2025'' and adding 
in its place the phrase ``July 1, 2025 through June 30, 2026'';
0
m. Adding paragraphs (a)(4) and (5).
    The additions read as follows:


Sec.  512.547  Quality measures, composite quality score, and display 
of quality measures.

    (a) * * *
    (4) For performance year 4:
    (i) For all episode categories: Hybrid Hospital-Wide All-Cause 
Readmission Measure with Claims and Electronic Health Record Data (CMIT 
ID #356) with a July 1, 2026 through June 30, 2027 CQS baseline period.
    (ii) For all episode categories: Hospital Harm--Falls with Injury 
(CMIT ID #1518) with a CY 2028 CQS baseline period.
    (iii) For all episode categories: Hospital Harm--Postoperative 
Respiratory Failure (CMIT ID #1788) with a CY 2028 CQS baseline period.
    (iv) For all episode categories: Thirty-day Risk-Standardized Death 
Rate among Surgical Inpatients with Complications (ISCMR) (CMIT ID 
#134) with a July 1, 2025 through June 30, 2027 CQS baseline period.
    (v) For LEJR episodes: Hospital-Level Total Hip and/or Total Knee 
Arthroplasty (THA/TKA) Patient-Reported Outcome-Based Performance 
Measure (PRO-PM) (CMIT ID #1618) with a July 1, 2026 through July 30, 
2027 CQS baseline period.
    (vi) For LEJR and Spinal Fusion episodes: Information Transfer PRO-
PM (CMIT ID #1797) with a CY 2028 CQS baseline period.
    (5) For performance year 5:
    (i) For all episode categories: Hybrid Hospital-Wide All-Cause 
Readmission Measure with Claims and Electronic Health Record Data (CMIT 
ID #356) with a July 1, 2027 through June 30, 2028 CQS baseline period.
    (ii) For all episode categories: Hospital Harm--Falls with Injury 
(CMIT ID #1518) with a CY 2029 CQS baseline period.
    (iii) For all episode categories: Hospital Harm--Postoperative 
Respiratory Failure (CMIT ID #1788) with a CY 2029 CQS baseline period.
    (iv) For all episode categories: Thirty-day Risk-Standardized Death 
Rate among Surgical Inpatients with Complications (ISCMR) (CMIT ID 
#134) with a July 1, 2026 through June 30, 2028 CQS baseline period.
    (v) For LEJR episodes: Hospital-Level Total Hip and/or Total Knee 
Arthroplasty (THA/TKA) Patient-Reported Outcome-Based Performance 
Measure (PRO-PM) (CMIT ID #1618) with a July 1, 2027 through July 30, 
2028 CQS baseline period.
    (vi) For LEJR and Spinal Fusion episodes: Information Transfer PRO-
PM (CMIT ID #1797) with a CY 2029 CQS baseline period.
0
43. Section 512.550 is amended by revising paragraph (c) to read as 
follows:


Sec.  512.550  Reconciliation process and determination of the 
reconciliation payment or repayment amount.

* * * * *
    (c) * * *
    (1) CMS assigns a first fiscal year MS-DRG by identifying diagnosis 
or procedure codes that change between the first and second fiscal year 
of the performance year per the fiscal year final payment rule MS-DRG 
definitions, for each episode with an anchor hospitalization or anchor 
procedure end date in the fourth quarter of a performance year. The 
first fiscal year MS-DRG will match the second fiscal year MS-DRG if 
there are no mapping changes for an initiating MS-DRG.
    (i) CMS does not assign mapping changs for episodes with anchor 
hospitalization or anchor procedure end dates in the first three 
quarters of a performance year.
    (2) CMS cancels an episode with an anchor hospitalization or anchor 
procedure end date in the fourth quarter of a performance year, in 
accordance with Sec.  512.537(b), if the assigned first fiscal year MS-
DRG is not specified in Sec.  512.525(d).
    (3) CMS determines the performance year spending for each episode 
included in the performance year (other than episodes that have been 
canceled in accordance with Sec.  512.537(b)) for each MS-DRG/HCPCS 
episode type using claims data that is available 6 months after the end 
of the performance year.
    (4) CMS calculates and applies the high-cost outlier cap for 
performance year episode spending by applying the calculation described 
in Sec.  512.540(b)(4) to performance year episode spending for each 
MS-DRG/HCPCS episode type.
    (5)(i) CMS applies the adjustments specified in Sec.  512.545 to 
the preliminary target prices computed in accordance with Sec.  512.540 
to calculate the reconciliation target prices for each MS-DRG/HCPCS 
episode type.
    (ii) CMS calculates the reconciliation target prices for each 
assigned first and second fiscal year MS-DRG/HCPCS episode type for 
episodes with anchor hospitalization or anchor procedure end dates in 
the fourth quarter of a performance year.
    (6)(i) CMS aggregates the reconciliation target prices computed in 
accordance with paragraph (c)(3) of this section for all episodes 
included in the performance year (other than episodes that have been 
canceled in accordance with Sec.  512.537(b)) for each MS-DRG/HCPCS 
episode type.
    (ii) CMS aggregates the reconciliation target prices for each 
assigned first and second fiscal year MS-DRG/HCPCS episode type for 
episodes with anchor hospitalization or anchor procedure end dates in 
the fourth quarter of a performance year.
    (7)(i) CMS subtracts the performance year spending amount 
determined under paragraphs (c)(1) and (2) of this section from the 
reconciliation target price amount determined under paragraph (c)(4) of 
this section for each MS-DRG/HCPCS episode type.
    (i) CMS first subtracts the performance year spending amount from 
the reconciliation target amount for each assigned first and second 
fiscal year MS-DRG/HCPCS episode type, then sums values for each MS-
DRG/HCPCS episode type for episodes with anchor hospitalization or 
anchor procedure end dates in the fourth quarter of a performance year.
    (8) CMS sums the values calculated under paragraph (c)(5) of this 
section across all MS-DRG/HCPCS episode types to determine the 
reconciliation amount.
    (9)(i) CMS caps the performance year spending amount for each MS-
DRG/HCPCS episode type determined under paragraphs (c)(3) and (4) of 
this section to equal the reconciliation target price computed in 
accordance with paragraph (c)(5) of this section for episode categories 
where the TEAM participant did not meet the low volume threshold of at 
least 31 episodes during the 3-year baseline period.
    (ii) Low volume hospital episodes, including episode categories 
where CMS caps performance year spending, are included in the CQS, as 
calculated in Sec.  512.547(b), and stop-loss/stop-gain thresholds, as 
applied at paragraph (e) of this section.
0
44. Part 512 is amended by adding subpart F to read as follows:

Subpart F--Comprehensive Care For Joint Replacement Expansion (CJR-
X) Model

Sec

General

512.600 Basis and scope of subpart.

[[Page 19777]]

512.605 Definitions.

CJR-X Participation

512.610 Mandatory participation.
512.615 APM options.

Beneficiary Population

512.620 Beneficiary inclusion criteria.
512.622 Beneficiary notification.

Episode of Care

512.625 Scope of episode.
512.630 Determination of the episode.

Quality Measures and Composite Quality Score

512.635 Quality measures, composite quality score, and display of 
quality measures.

Pricing Methodology

512.640 Determination of preliminary target prices.
512.645 Determination of reconciliation target prices.
512.650 Reconciliation process and determination of the 
reconciliation payment or repayment amount.
512.652 Treatment of incentive programs or add-on payments under 
existing Medicare payment systems.
512.655 Proration of payments for services that extend beyond an 
episode.
512.660 Appeals process.

Data Sharing

512.665 Data sharing with CJR-X participants.

Financial Arrangements and Beneficiary Incentives

512.670 Sharing arrangements.
512.675 Distribution arrangements.
512.680 Downstream distribution arrangements.
512.685 CJR-X beneficiary incentives.
512.690 Application of the CMS-sponsored Model Arrangements and 
Patient Incentives Safe Harbor.

Medicare Program Waivers

512.695 CJR-X Medicare Program Waivers

Subpart F--Comprehensive Care For Joint Replacement Expansion (CJR-
X) Model

General


Sec.  512.600  Basis and scope of subpart.

    (a) Basis. This subpart implements the expansion of the 
Comprehensive Care for Joint Replacement (CJR) Model under section 
1115A(c) of the Act. Except as specifically noted in this subpart, the 
regulations under this subpart do not affect the applicability of other 
provisions affecting providers and suppliers under Medicare FFS, 
including the applicability of provisions regarding payment, coverage, 
and program integrity.
    (b) Scope. This subpart sets forth the following:
    (i) Participation in CJR-X.
    (ii) Scope of episodes.
    (iii) Pricing methodology.
    (iv) Quality measures and quality reporting requirements.
    (v) Reconciliation and review processes.
    (vi) Data Sharing and other requirements.
    (vii) Financial arrangements and beneficiary incentives.
    (viii) Medicare program waivers.
    (c) Applicability. Except as otherwise specified in this subpart, 
CJR-X participants are subject to the standard provisions for 
Innovation Center models specified in subpart A of this part 512 and in 
subpart K of part 403 of this chapter.


Sec.  512.605  Definitions.

    For the purposes of this subpart, the following definitions are 
applicable unless otherwise stated:
    AAPM stands for Advanced Alternative Payment Model.
    AAPM option means the advanced alternative payment model option of 
CJR-X for CJR-X participants that provide their CMS EHR Certification 
ID and attest to their use of CEHRT in accordance with Sec.  512.615.
    ACO means an accountable care organization, as defined at Sec.  
425.20 of this chapter.
    ACO participant has the meaning set forth in Sec.  425.20 of this 
chapter.
    ACO provider/supplier has the meaning set forth in Sec.  425.20 of 
this chapter.
    Acute care hospital means a provider subject to the prospective 
payment system specified in Sec.  412.1(a)(1) of this chapter.
    Age bracket risk adjustment factor means the coefficient of risk 
associated with a patient's age bracket, calculated as described in 
Sec.  512.645(a)(1).
    Aggregated reconciliation target price refers to the sum of the 
reconciliation target prices for all episodes attributed to a given 
CJR-X participant for a given performance year.
    Alignment payment means a payment from a CJR-X collaborator to a 
CJR-X participant under a sharing arrangement, for the sole purpose of 
sharing the CJR-X participant's responsibility for making repayments to 
Medicare.
    Anchor hospitalization means the initial hospital stay upon 
admission for a lower extremity joint replacement included in CJR-X, as 
described in Sec.  512.625(a), for which the institutional claim is 
billed through the inpatient prospective payment system (IPPS). Anchor 
hospitalization also includes an inpatient hospital admission within 3 
days after an outpatient Total Knee Arthroplasty (TKA) or Total Hip 
Arthroplasty (THA).
    Anchor procedure means a TKA or THA procedure related to an 
episode, as described in Sec.  512.625(a), included in CJR-X that is 
permitted and paid for by Medicare when performed in a hospital 
outpatient department (HOPD) and billed through the Hospital Outpatient 
Prospective Payment System (OPPS), except when the beneficiary is 
admitted to an inpatient hospital stay within 3 days after the TKA or 
THA.
    APM stands for Alternative Payment Model.
    Baseline episode spending refers to total episode spending by all 
providers and suppliers associated with a given MS-DRG/HCPCS episode 
type for all hospitals in a given region during the baseline period.
    Baseline period means the 3-year historical period used to 
construct the preliminary target price and reconciliation target price 
for a given performance year.
    Baseline year means any one of the three years included in the 
baseline period.
    Benchmark price means average standardized episode spending by all 
providers and suppliers associated with a given MS-DRG/HCPCS episode 
type for all hospitals in a given region during the applicable baseline 
period.
    Beneficiary economic risk adjustment factor means the coefficient 
of risk associated with a patient's economic status, calculated as 
described in Sec.  512.645(a)(3).
    CCN stands for CMS certification number.
    CDI stands for Community Deprivation Index.
    CEHRT means certified electronic health record technology that 
meets the requirements set forth in Sec.  414.1305 of this chapter.
    CJR stands for the Comprehensive Care for Joint Replacement Model, 
which was an episode-based payment model tested by the Innovation 
Center from April 2016 to December 2024.
    CJR-X stands for the Comprehensive Care for Joint Replacement 
Expanded Model.
    CJR-X activities mean any activity related to promoting 
accountability for the quality, cost, and overall care for CJR-X 
beneficiaries and performance in the model, including managing and 
coordinating care; encouraging investment in infrastructure and 
redesigned care processes for high quality and efficient service 
delivery; or carrying out any other obligation or duty under the model.

[[Page 19778]]

    CJR-X beneficiary means a beneficiary who meets the beneficiary 
inclusion criteria in Sec.  512.620.
    CJR-X collaborator means an ACO or one of the following Medicare-
enrolled individuals or entities that enters into a sharing 
arrangement:
    (1) Skilled Nursing Facility (SNF).
    (2) Home Health Agency (HHA).
    (3) Long-Term Care Hospital (LTCH).
    (4) Inpatient Rehabilitation Facility (IRF).
    (5) Physician.
    (6) Nonphysician practitioner.
    (7) Therapist in private practice.
    (8) Comprehensive Outpatient Rehabilitation Facility (CORF).
    (9) Provider of outpatient therapy services.
    (10) Physician Group Practice (PGP).
    (11) Hospital.
    (12) Critical Access Hospital (CAH).
    (13) Non-Physician Provider Group Practice (NPPGP).
    (14) Therapy Group Practice (TGP).
    CJR-X data sharing agreement means an agreement between the CJR-X 
participant and CMS that includes the terms and conditions for any 
beneficiary-identifiable data shared with the CJR-X participant under 
Sec.  512.665.
    CJR-X HCC count risk adjustment factor refers to the CJR-X 
Hierarchical Condition Category count, which is a categorical risk 
adjustment variable designed to reflect a beneficiary's overall health 
status during a 180-day lookback period by grouping similar diagnoses 
into one related category and counting the total number of diagnostic 
categories that apply to the beneficiary.
    CJR-X participant means an acute care hospital with a CCN primary 
address located in the 50 United States, District of Columbia, or U.S. 
Territory that initiates LEJR episodes and is paid under both the IPPS 
and OPPS, unless it meets an exception in Sec.  512.610(b).
    CJR-X payment means a payment made by CMS only to CJR-X 
participants, or a payment adjustment made only to payments made to 
CJR-X participants, under the terms of CJR-X that is not applicable to 
any other providers or suppliers.
    CJR-X reconciliation report means the report prepared after each 
reconciliation that CMS provides to the CJR-X participant notifying the 
CJR-X participant of the outcome of the reconciliation.
    Clinician engagement list means the list of eligible clinicians or 
MIPS eligible clinicians that participate in CJR-X activities and have 
a contractual relationship with the CJR-X participant, and who are not 
listed on the financial arrangements list, as described in Sec.  
512.615(c).
    CMS Electronic Health Record (EHR) Certification ID means the 
identification number that represents the combination of Certified 
Health Information Technology that is owned and used by providers and 
hospitals to provide care to their patients and is generated by the 
Certified Health Information Technology Product List.
    Collaboration agent means an individual or entity that is not a 
CJR-X collaborator and that is either of the following:
    (1) A member of a PGP, NPPGP, or TGP that has entered into a 
distribution arrangement with the same PGP, NPPGP, or TGP in which he 
or she is an owner or employee, and where the PGP, NPPGP, or TGP is a 
CJR-X collaborator.
    (2) An ACO participant or ACO provider/supplier that has entered 
into a distribution arrangement with the same ACO in which it is 
participating, and where the ACO is a CJR-X collaborator.
    Composite quality score (CQS) means a score computed for each CJR-X 
participant to summarize the CJR-X participant's level of quality 
performance on specified quality measures as described in Sec.  
512.635.
    CORF stands for comprehensive outpatient rehabilitation facility.
    Critical access hospital (CAH) means a hospital designated under 
subpart F of part 485 of this chapter.
    Discount factor means a set percentage included in the preliminary 
target price and adjusted for quality at reconciliation as described at 
Sec.  512.645(g), which is intended to reflect Medicare's potential 
savings from CJR-X.
    Distribution arrangement means a financial arrangement between a 
CJR-X collaborator that is an ACO, PGP, NPPGP, or TGP and a 
collaboration agent for the sole purpose of distributing some or all of 
a gainsharing payment received by the ACO, PGP, NPPGP, or TGP.
    Distribution payment means a payment from a CJR-X collaborator that 
is an ACO, PGP, NPPGP, or TGP to a collaboration agent, under a 
distribution arrangement, composed only of gainsharing payments.
    DME stands for durable medical equipment.
    Downstream collaboration agent means an individual who is not a 
CJR-X collaborator or a collaboration agent and who is a member of a 
PGP, NPPGP, or TGP that has entered into a downstream distribution 
arrangement with the same PGP, NPPGP, or TGP in which he or she is an 
owner or employee, and where the PGP, NPPGP, or TGP is a collaboration 
agent.
    Downstream distribution arrangement means a financial arrangement 
between a collaboration agent that is both a PGP, NPPGP, or TGP and an 
ACO participant and a downstream collaboration agent for the sole 
purpose of sharing a distribution payment received by the PGP, NPPGP, 
or TGP.
    Downstream participant means an individual or entity that has 
entered into a written arrangement with a CJR-X participant, CJR-X 
collaborator, collaboration agent, or downstream collaboration agent 
under which the downstream participant engages in one or more CJR-X 
activities.
    Dually eligible beneficiary means a beneficiary enrolled in both 
Medicare and full Medicaid benefits.
    EHR stands for electronic health record.
    Eligible clinician means a clinician as defined in Sec.  414.1305 
of this chapter.
    Episode means all Medicare Part A and B items and services 
described in Sec.  512.625(b) (and excluding the items and services 
described in Sec.  512.625(c)) that are furnished to a beneficiary 
described in Sec.  512.620 during the time period that begins on the 
date of the beneficiary's admission to an anchor hospitalization or the 
date of the anchor procedure, as described at Sec.  512.630(c), and 
ends on the 90th day following the date of discharge from the anchor 
hospitalization or anchor procedure, with the date of discharge or date 
of the anchor procedure itself being counted as the first day in the 
90-day post-discharge period, as described at Sec.  512.630(d). In the 
case that an anchor hospitalization for the same episode type occurs 
within 3 days of an anchor procedure, the anchor procedure episode is 
canceled, and the episode start date for the anchor hospitalization is 
the same as the outpatient procedure.
    Episode type refers to the subset of episodes that are associated 
with a given MS-DRG/HCPCS, as set forth at Sec.  512.640(a)(1).
    Final normalization factor refers to the mean of the benchmark 
price for each MS-DRG/HCPCS episode type and region divided by the mean 
of the risk-adjusted benchmark price for the same MS-DRG/HCPCS episode 
type and region.
    Financial arrangements list means the list of eligible clinicians 
or MIPS eligible clinicians that have a financial arrangement with the 
CJR-X participant, CJR-X collaborator, collaboration agent, and 
downstream collaboration agent, as described in Sec.  512.615(b).
    Gainsharing payment means a payment from a CJR-X participant to a

[[Page 19779]]

CJR-X collaborator, under a sharing arrangement, composed of only 
reconciliation payments, internal cost savings, or both.
    HCPCS stands for Healthcare Common Procedure Coding System, which 
is used to bill for items and services.
    HHA means a Medicare-enrolled home health agency.
    High-cost outlier cap refers to the 99th percentile of regional 
spending for a given MS DRG/HCPCS episode type, region, and baseline 
year, which is the amount at which episode spending would be capped for 
purposes of determining baseline and performance year episode spending.
    Hospital means a hospital as defined in section 1886(d)(1)(B) of 
the Act.
    Hospital discharge planning means the standards set forth in Sec.  
482.43 of this chapter.
    ICD-CM stands for International Classification of Diseases, 
Clinical Modification.
    Inpatient measure composite quality score means the sum of 
inpatient quality measure point values capped at 20 points.
    Internal cost savings means the measurable, actual, and verifiable 
cost savings realized by the CJR-X participant resulting from care 
redesign undertaken by the CJR-X participant in connection with 
providing items and services to CJR-X beneficiaries within an episode. 
Internal cost savings does not include savings realized by any 
individual or entity that is not the CJR-X participant.
    IPF stands for inpatient psychiatric facility.
    IPPS stands for Inpatient Prospective Payment System, which is the 
payment system for subsection (d) hospitals as defined in section 
1886(d)(1)(B) of the Act.
    IRF stands for inpatient rehabilitation facility.
    LIS stands for Medicare Part D Low-Income Subsidy.
    Lower-extremity joint replacement (LEJR) means any hip, knee, or 
ankle replacement that is paid under MS-DRG 469, 470, 521, or 522 
through the IPPS or HCPCS code 27447 or 27130 through the OPPS.
    Low-volume hospital refers to a hospital with fewer than 31 FFS 
LEJR episodes during the applicable baseline period.
    LTCH stands for long-term care hospital as defined in section 
1861(ccc) of the Act.
    Medicare severity diagnosis-related group (MS-DRG) means, for the 
purposes of this model, the classification of inpatient hospital 
discharges updated in accordance with Sec.  412.10 of this chapter.
    Medicare-dependent, small rural hospital (MDH) means a specific 
type of hospital that meets the classification criteria specified under 
Sec.  412.108 of this chapter.
    Member of the NPPGP or NPPGP member means a nonphysician 
practitioner or therapist who is an owner or employee of an NPPGP and 
who has reassigned to the NPPGP his or her right to receive Medicare 
payment.
    Member of the PGP or PGP member means a physician, nonphysician 
practitioner, or therapist who is an owner or employee of the PGP and 
who has reassigned to the PGP his or her right to receive Medicare 
payment.
    Member of the TGP or TGP member means a therapist who is an owner 
or employee of a TGP and who has reassigned to the TGP his or her right 
to receive Medicare payment.
    MIPS stands for Merit-based Incentive Payment System
    MIPS eligible clinician means a clinician as defined in Sec.  
414.1305 of this chapter.
    Model-specific payment means a payment made by CMS only to CJR-X 
participants and includes, unless otherwise specified, the 
reconciliation payment.
    Model start date means the start of the model performance period on 
October 1, 2027.
    Non-AAPM option means the option of a CJR-X participant that does 
not attest to the use of CEHRT as described in Sec.  512.615.
    Nonphysician practitioner means one of the following:
    (1) A physician assistant who satisfies the qualifications set 
forth at Sec.  410.74(a)(2)(i) and (ii) of this chapter.
    (2) A nurse practitioner who satisfies the qualifications set forth 
at Sec.  410.75(b) of this chapter.
    (3) A clinical nurse specialist who satisfies the qualifications 
set forth at Sec.  410.76(b) of this chapter.
    (4) A certified registered nurse anesthetist (as defined at Sec.  
410.69(b)).
    (5) A clinical social worker (as defined at Sec.  410.73(a)).
    (6) A registered dietician or nutrition professional (as defined at 
Sec.  410.134).
    NPI stands for National Provider Identifier.
    NPPGP stands for non-physician provider group practice, which means 
an entity that is enrolled in Medicare as a group practice, includes at 
least one owner or employee who is a nonphysician practitioner, does 
not include a physician owner or employee, and has a valid and active 
TIN.
    Net payment reconciliation amount (NPRA) means the dollar amount 
calculated in accordance with Sec.  512.650(c).
    OIG stands for the Department of Health and Human Services' Office 
of the Inspector General.
    OP means an outpatient procedure for which the institutional claim 
is billed by the hospital through the OPPS.
    OPPS stands for the Outpatient Prospective Payment System.
    Outpatient composite quality score means the sum of outpatient 
quality measure points values, capped at 20 points
    Overall composite quality score means the sum of the weighted 
average of the inpatient measure composite quality score and the 
outpatient measure composite quality score, capped at 20 points.
    PAC stands for post-acute care.
    PAC provider is a home health agency (HHA), skilled nursing 
facility (SNF), inpatient rehabilitation facility (IRF), or long-term 
care hospital (LTCH), as defined in section 1899B(a)(2) of the Act.
    Performance year (PY) means a 12-month period beginning on October 
1 and ending on September 30 of the following year to align with the 
Inpatient Prospective Payment System Fiscal Year.
    Performance year spending means the sum of standardized Medicare 
claims payments during the performance year for the items and services 
that are included in the episode in accordance with Sec.  512.625(b), 
excluding the items and services described in Sec.  512.625(c).
    PGP stands for physician group practice.
    Physician has the meaning set forth in section 1861(r) of the Act.
    Preliminary target price refers to the target price provided to the 
CJR-X participant prior to the start of the performance year, which is 
subject to adjustment at reconciliation, as set forth at Sec.  512.640.
    Prospective normalization factor refers to the multiplier 
incorporated into the preliminary target price to ensure that the 
average of the total risk-adjusted benchmark price does not exceed the 
average of the total non-risk adjusted benchmark price, calculated as 
set forth in Sec.  512.640(b)(6).
    Prospective trend factor refers to the multiplier incorporated into 
the preliminary target price to estimate changes in spending patterns 
between the baseline period and the performance year, calculated as set 
forth in Sec.  512.640(b)(7).
    Provider of outpatient therapy services means an entity that is 
enrolled in Medicare as a provider of therapy

[[Page 19780]]

services and furnishes one or more of the following:
    (1) Outpatient physical therapy services as defined in Sec.  410.60 
of this chapter.
    (2) Outpatient occupational therapy services as defined in Sec.  
410.59 of this chapter.
    (3) Outpatient speech-language pathology services as defined in 
Sec.  410.62 of this chapter.
    Reconciliation payment amount means the amount that CMS may owe to 
a CJR-X participant after reconciliation as determined in accordance 
with Sec.  512.650(g).
    Reconciliation target price means the target price applied to an 
episode at reconciliation, as determined in accordance with Sec.  
512.645.
    Region means one of the nine U.S. census divisions, as defined by 
the U.S. Census Bureau, with the U.S. territories included in Census 
Division 9.
    Reorganization event refers to a merger, consolidation, spin off or 
other restructuring that results in a new hospital entity under a given 
CCN.
    Repayment amount means the amount that the CJR-X participant may 
owe to Medicare after reconciliation as determined in accordance with 
Sec.  512.650(g).
    Retrospective trend factor refers to the multiplier incorporated 
into the reconciliation target price to estimate realized changes in 
spending patterns during the performance year, calculated as set forth 
in Sec.  512.645(f).
    Rural hospital means an IPPS hospital that meets one of the 
following criteria:
    (1) Is located in a rural area as defined under Sec.  412.64 of 
this chapter.
    (2) Is located in a rural census tract defined under Sec.  
412.103(a)(1) of this chapter.
    Safety net hospital means a hospital in the top 25th percentile in 
their region for percentage of FFS LEJR inpatient episodes provided to 
dually eligible beneficiaries during the applicable baseline period.
    Sharing arrangement means a financial arrangement between a CJR-X 
participant and a CJR-X collaborator for the sole purpose of making 
gainsharing payments or alignment payments under CJR-X.
    SNF stands for skilled nursing facility as defined in section 
1819(a) of the Act.
    Sole community hospital (SCH) means a hospital that meets the 
classification criteria specified in Sec.  412.92 of this chapter.
    Swing-bed hospital means a hospital that meets the definition 
specified in Sec.  413.114 of this chapter.
    TAA stands for total ankle arthroplasty.
    TGP or therapy group practice means an entity that is enrolled in 
Medicare as a therapy group in private practice, includes at least one 
owner or employee who is a therapist in private practice, does not 
include an owner or employee who is a physician or nonphysician 
practitioner, and has a valid and active TIN.
    THA means total hip arthroplasty.
    Therapist means one of the following individuals as defined at 
Sec.  484.4 of this chapter:
    (1) Physical therapist.
    (2) Occupational therapist.
    (3) Speech-language pathologist.
    Therapist in private practice means a therapist that--
    (1) Complies with the special provisions for physical therapists in 
private practice in Sec.  410.60(c) of this chapter;
    (2) Complies with the special provisions for occupational 
therapists in private practice in Sec.  410.59(c) of this chapter; or
    (3) Complies with the special provisions for speech-language 
pathologists in private practice in Sec.  410.62(c) of this chapter.
    TIN stands for taxpayer identification number.
    TKA stands for total knee arthroplasty.

CJR-X Participation


Sec.  512.610  Mandatory participation.

    (a) General
    (1) CJR-X participants, as defined in Sec.  512.605, must 
participate in CJR-X, except as specified in paragraph (b) of this 
section.
    (2) CJR-X participants will remain CJR-X participants, unless they 
no longer meet the definition of CJR-X participant, CMS terminates CJR-
X, or the CJR-X participant receives notice of termination from CJR-X 
in accordance with Sec.  512.165.
    (b) Exceptions. CMS excludes from CJR-X hospitals that meet any of 
the following criteria:
    (1) Is a TEAM participant as defined at Sec.  512.505.
    (2) Is located in the State of Maryland.


Sec.  512.615  APM options.

    (a) CJR-X APM options. A CJR-X participant may choose either of the 
following options based on their CEHRT use:
    (1) AAPM option. A CJR-X participant may select the AAPM option by 
attesting in a form and manner and by a date specified by CMS to their 
use of CEHRT, as defined in Sec.  414.1305 of this chapter, on an 
annual basis prior to the start of each performance year.
    (i) A CJR-X participant that selects the AAPM option as provided 
for in paragraph (a)(1) must provide their CMS electronic health record 
certification ID in a form and manner and by a date specified by CMS on 
annual basis prior to the end of each performance year.
    (ii) A CJR-X participant that selects the AAPM option as provided 
for in paragraph (a)(1) must retain documentation of their attestation 
to CEHRT use and provide access to the documentation in accordance with 
Sec.  512.135.
    (2) Non-AAPM option. CMS assigns the CJR-X participant to the non-
AAPM option if the CJR-X participant does not attest in a form and 
manner and by a date specified by CMS to their use of CEHRT as defined 
in Sec.  414.1305 of this chapter.
    (b) Financial arrangements list. A CJR-X participant with CJR-X 
collaborators, collaboration agents, or downstream collaboration agents 
during a performance year must submit to CMS a financial arrangements 
list in a form and manner and by a date specified by CMS on a quarterly 
basis for each performance year. The financial arrangements list must 
include the following:
    (1) CJR-X collaborators. For each physician, nonphysician 
practitioner, or therapist who is a CJR-X collaborator during the 
performance year:
    (i) The name, TIN, and NPI of the CJR-X collaborator.
    (ii) The start date and, if applicable, end date of the sharing 
arrangement between the CJR-X participant and the CJR-X collaborator.
    (2) Collaboration agents. For each physician, nonphysician 
practitioner, or therapist who is a collaboration agent during the 
performance year:
    (i) The name, TIN, and NPI of the collaboration agent and the name 
and TIN of the CJR-X collaborator with which the collaboration agent 
has entered into a distribution arrangement.
    (ii) The start date and, if applicable, end date of the 
distribution arrangement between the CJR-X collaborator and the 
collaboration agent.
    (3) Downstream collaboration agents. For each physician, 
nonphysician practitioner, or therapist who is a downstream 
collaboration agent during the performance year:
    (i) The name, TIN, and NPI of the downstream collaboration agent 
and the name and TIN of the collaboration agent with which the 
downstream collaboration agent has entered into a downstream 
distribution arrangement.
    (ii) The start date and, if applicable, end date of the downstream 
distribution arrangement between the collaboration agent and the 
downstream collaboration agent.

[[Page 19781]]

    (c) Clinician engagement list. A CJR-X participant must submit to 
CMS a clinician engagement list in a form and manner and by a date 
specified by CMS on a quarterly basis during each performance year. The 
clinician engagement list must include the following:
    (1) For each physician, nonphysician practitioner, or therapist who 
is not on a CJR-X participant's financial arrangements list during the 
performance year but who does have a contractual relationship with the 
CJR-X participant and participates in CJR-X activities during the 
performance year:
    (i) The name, TIN, and NPI of the physician, nonphysician 
practitioner, or therapist.
    (ii) The start date and, if applicable, the end date of the 
contractual relationship between the physician, nonphysician 
practitioner, or therapist and the CJR-X participant.
    (d) Attestation to no individuals. A CJR-X participant with no 
individuals that meet the criteria specified in paragraphs (b)(1) 
through (3) of this section for the financial arrangements list or 
paragraph (c) of this section for the clinician engagement list must 
attest in a form and manner and by a date specified by CMS that there 
are no financial arrangements or clinician engagements to report.
    (e) Documentation requirements. A CJR-X participant that submits a 
financial arrangements list specified in paragraph (b) of this section 
or a clinician engagement list specified in paragraph (c) of this 
section must retain and provide access to the documentation in 
accordance with Sec.  512.135.

Beneficiary Population


Sec.  512.620  Beneficiary inclusion criteria.

    (a) An individual is a CJR-X beneficiary if, upon admission for an 
anchor procedure or anchor hospitalization, the individual:
    (1) Is enrolled in Medicare Parts A and B;
    (2) Has Medicare as their primary payer;
    (3) Is not eligible for Medicare on the basis of having end stage 
renal disease, as described at Sec.  406.13 of this chapter;
    (4) Is not enrolled in any managed care plan (for example, Medicare 
Advantage, health care prepayment plans, or cost-based health 
maintenance organizations);
    (5) Is not covered under a United Mine Workers of America health 
care plan; and
    (6) Is in an episode.
    (b) The episode is canceled in accordance with Sec.  512.630(e) if 
at any time during the episode a beneficiary no longer meets all of the 
criteria in paragraph (a) of this section.


Sec.  512.622  Beneficiary notification.

    (a) CJR-X participant beneficiary notification.
    (1) Notification to beneficiaries. Each CJR-X participant must 
provide written notification to each CJR-X beneficiary of his or her 
inclusion in the CJR-X model.
    (2) Timing of notification. Prior to discharge from either the 
anchor hospitalization or the anchor procedure, as applicable, the CJR-
X participant must provide the CJR-X beneficiary with a beneficiary 
notification as described in paragraph (a)(4) of this section.
    (3) List of CJR-X beneficiaries who have received a notification. 
The CJR-X participant must be able to generate a list of all CJR-X 
beneficiaries who have received such notification, including the date 
on which the notification was provided to the CJR-X beneficiary, and 
provide such list to CMS or its designee upon request.
    (4) Content of notification. The beneficiary notification must 
contain all of the following:
    (i) A detailed explanation of CJR-X and how it might be expected to 
affect the CJR-X beneficiary's care.
    (ii) That the CJR-X beneficiary retains freedom of choice to choose 
providers, suppliers, and services.
    (iii) Explanation of how the CJR-X beneficiary can access care 
records and claims data through an available patient portal, if 
applicable, and how to share access to Blue Button[supreg] electronic 
health information with caregivers.
    (iv) Explanation of the type of beneficiary-identifiable claims 
data the CJR-X participant may receive.
    (v) A statement that all existing Medicare beneficiary protections 
continue to be available to the CJR-X beneficiary. These include the 
ability to report concerns of substandard care to Quality Improvement 
Organizations or the 1-800-MEDICARE helpline.
    (vi) A list of the CJR-X collaborators with which the CJR-X 
participant has a sharing arrangement. This requirement may be 
fulfilled by the CJR-X participant including in the detailed 
notification a publicly available Web address where the CJR-X 
beneficiary may access the list.
    (b) CJR-X collaborator notice. The CJR-X participant must require 
every CJR-X collaborator that furnishes an item or service to a CJR-X 
beneficiary during an episode to provide written notice, to be 
developed by CMS, to the CJR-X beneficiary that describes general 
information on the quality and payment incentives under CJR-X, and the 
existence of the CJR-X collaborator's sharing arrangement.
    (1) The notice must be provided no later than the time at which the 
CJR-X beneficiary first receives an item or service from the CJR-X 
collaborator during an episode. In circumstances where, due to the CJR-
X beneficiary's condition, it is not feasible to provide notification 
at such time, the notification must be provided to the CJR-X 
beneficiary or his or her representative as soon as is reasonably 
practicable.
    (2) The CJR-X collaborator must provide to CMS upon request, a list 
of all CJR-X beneficiaries who received such a notice, including the 
date on which the notice was provided to the CJR-X beneficiary.
    (c) Discharge planning notice. The CJR-X participant must provide 
the CJR-X beneficiary with a written notice of any potential financial 
liability associated with non-covered services recommended or presented 
as an option as part of discharge planning, no later than the time that 
the CJR-X beneficiary discusses a particular post-acute care option or 
at the time the CJR-X beneficiary is discharged from an anchor 
procedure or anchor hospitalization, whichever occurs earlier.
    (1) If the CJR-X participant knows or should have known that the 
CJR-X beneficiary is considering or has decided to receive a non-
covered post-acute care service or other non-covered associated service 
or supply, the CJR-X participant must notify the CJR-X beneficiary in 
writing that the service would not be covered by Medicare.
    (2) If the CJR-X participant is discharging a CJR-X beneficiary to 
a SNF after an inpatient hospital stay, and the CJR-X beneficiary is 
being transferred to or is considering a SNF that would not qualify 
under the SNF 3-day waiver in Sec.  512.695(b), the CJR-X participant 
must notify the CJR-X beneficiary in accordance with paragraph (c)(1) 
of this section that the CJR-X beneficiary will be responsible for 
payment for the services furnished by the SNF during that stay, except 
those services that would be covered by Medicare Part B during a non-
covered inpatient SNF stay.
    (d) Access to records and retention. The CJR-X participant must 
provide access to the notifications and lists described in paragraphs 
(a), (b), and (c) of this section to CMS, or its designees, in 
accordance with Sec.  512.135.

[[Page 19782]]

Episode of Care


Sec.  512.625  Scope of episode.

    (a) Lower extremity joint replacement (LEJR) procedures. The MS-
DRGs and HCPCS codes included in the episodes are as follows:
    (1) IPPS discharge under MS-DRG 469, 470, 521, or 522.
    (2) OPPS claim for HCPCS codes 27130 or 27447.
    (b) Included services. All Medicare Part A and B items and services 
are included in the episode, except as specified in paragraph (c) of 
this section. These services include, but are not limited to, the 
following:
    (1) Physicians' services.
    (2) Inpatient hospital services (including hospital readmissions).
    (3) IPF services.
    (4) LTCH services.
    (5) IRF services.
    (6) SNF services.
    (7) HHA services.
    (8) Hospital outpatient services.
    (9) Outpatient therapy services.
    (10) Clinical laboratory services.
    (11) DME.
    (12) Part B drugs and biologic, except for those excluded under 
paragraph (c) of this section.
    (13) Hospice services.
    (14) Part B professional claims dated in the 3 days prior to an 
anchor hospitalization if a claim for the surgical procedure for the 
same episode type is not detected as part of the hospitalization 
because the procedure was performed by the CJR-X participant on an 
outpatient basis, but the patient was subsequently admitted as an 
inpatient.
    (c) Excluded services. The following items, services, and payments 
are excluded from the episode:
    (1) Select items and services considered unrelated to the anchor 
hospitalization or the anchor procedure for episodes in the baseline 
period and performance year, including, but not limited to, the 
following:
    (i) Inpatient hospital admissions for MS-DRGs that group to the 
following categories of diagnoses:
    (A) Oncology.
    (B) Trauma medical.
    (C) Organ transplant.
    (D) Ventricular shunt.
    (ii) Inpatient hospital admissions that fall into the following 
Major Diagnostic Categories (MDCs):
    (A) MDC 02 (Diseases and Disorders of the Eye).
    (B) MDC 14 (Pregnancy, Childbirth, and Puerperium).
    (C) MDC 15 (Newborns).
    (D) MDC 25 (Human Immunodeficiency Virus).
    (2) New technology add-on payments, as defined in part 412, subpart 
F of this chapter for episodes in the baseline period and performance 
year.
    (3) Transitional pass-through payments for medical devices as 
defined in Sec.  419.66 of this chapter for episodes initiated in the 
baseline period and performance year.
    (4) Hemophilia clotting factors provided in accordance with Sec.  
412.115 of this chapter for episodes in the baseline period and 
performance year.
    (5) Part B payments for low-volume drugs, high-cost drugs and 
biologics, and blood clotting factors for hemophilia for episodes in 
the baseline period and performance year, billed on outpatient, 
carrier, and DME claims, defined as--
    (i) Drug/biologic HCPCS codes that are billed in fewer than 31 
episodes in total across all episodes in CJR-X during the baseline 
period;
    (ii) Drug/biologic HCPCS codes that are billed in at least 31 
episodes in the baseline period and have a mean allowed cost of greater 
than $25,000 per episode in the baseline period; and
    (iii) HCPCS codes corresponding to clotting factors for hemophilia 
patients, identified in the quarterly average sales price file for 
certain Medicare Part B drugs and biologics as HCPCS codes with 
clotting factor equal to 1, HCPCS codes for new hemophilia clotting 
factors not included in the baseline period, and other HCPCS codes 
identified as hemophilia.
    (6) Part B payments for low-volume drugs, high-cost drugs and 
biologics, and blood clotting factors for hemophilia for episodes 
initiated in the performance year, billed on outpatient, carrier, and 
DME claims, defined as--
    (i) Drug/biologic HCPCS codes that were not captured in the 
baseline period and appear in 10 or fewer episodes in the relevant 
performance year;
    (ii) Drug/biologic HCPCS codes that were not included in the 
baseline period, appear in more than 10 episodes in the relevant 
performance year, and have a mean cost of greater than $25,000 per 
episode in the relevant performance year; and
    (iii) Drug/biologic HCPCS codes that were not included in the 
baseline period, appear in more than 10 episodes in the relevant 
performance year, have a mean cost of $25,000 or less per episode in 
the relevant performance year, and correspond to a drug/biologic that 
appears in the baseline period but was assigned a new HCPCS code 
between the baseline period and the relevant performance year.
    (iv) HCPCS codes for new hemophilia clotting factors not included 
in the baseline period.
    (d) CJR-X exclusions list. The list of excluded MS-DRGs, MDCs, and 
HCPCS codes is posted on the CMS website.
    (e) Updating the CJR-X exclusions list. The list of excluded 
services is updated through rulemaking to reflect any of the following:
    (1) Changes to the MS-DRGs under the IPPS.
    (2) Coding changes.
    (3) Other issues brought to CMS' attention.


Sec.  512.630  Determination of the episode.

    (a) Timing of episodes. Episodes initiated on or after October 1, 
2027.
    (b) Episode attribution. All items and services included in the 
episode are attributed to the CJR-X participant at which the anchor 
hospitalization or anchor procedure, as applicable, occurs.
    (c) Episode initiation. An episode is initiated by--
    (1) A beneficiary's admission to a CJR-X participant for an anchor 
hospitalization that is paid under a MS-DRG specified in Sec.  
512.625(a); or
    (2) A beneficiary's receipt of an anchor procedure billed under a 
HCPCS code specified in Sec.  512.625(a). If an anchor hospitalization 
is initiated on the same day as or within 3 days of an outpatient 
procedure for the same episode type, the episode start date will be 
that of the outpatient procedure rather than the admission date, and an 
anchor procedure will not be initiated.
    (d) Episode conclusion.
    (1) An episode ends on the 90th day following the date of the 
anchor procedure or the date of discharge from the anchor 
hospitalization, as applicable, with the date of the anchor procedure 
or the date of discharge from the anchor hospitalization being counted 
as the first day in the 90-day post-discharge period.
    (e) Cancellation of an episode. The episode is canceled and is not 
included in the reconciliation calculation as specified in Sec.  
512.650 if any of the following occur:
    (1) The beneficiary ceases to meet any criterion listed in Sec.  
512.620.
    (2) The beneficiary dies at any point during the episode.
    (3) The episode qualifies for cancellation due to extreme and 
uncontrollable circumstances. An extreme and uncontrollable 
circumstance occurs if both of the following criteria are met:
    (i) The CJR-X participant has a CCN primary address that--
    (A) Is located in an emergency area, as those terms are defined in 
section

[[Page 19783]]

1135(g) of the Act, for which the Secretary has issued a waiver under 
section 1135; and
    (B) Is located in a county, parish, or tribal government designated 
in a major disaster declaration under the Stafford Act.
    (ii) The date of admission to the anchor hospitalization or the 
date of the anchor procedure is during an emergency period (as defined 
in section 1135(g) of the Act) or in the 30 days before the date that 
the emergency period (as defined in section 1135(g) of the Act) begins.
    (4) The beneficiary is in a TEAM episode and receives a LEJR 
procedure at a CJR-X participant during the 30-day post-discharge 
period after a TEAM anchor hospitalization or TEAM anchor procedure.

Quality Measures and Composite Quality Score


Sec.  512.635  Quality measures, composite quality score, and display 
of quality measures.

    (a) Quality measures. CMS calculates the quality measures used to 
evaluate the CJR-X participant's performance using Medicare claims data 
or patient-reported outcomes data reported under existing CMS quality 
reporting programs, including but not limited to the Hospital Inpatient 
Quality Reporting Program and the Hospital Outpatient Quality Reporting 
Program. The following quality measures are used for public reporting 
and for determining the CJR-X participant's CQS as described in 
paragraph (b) of this section:
    (1) For all inpatient episodes: Hospital-level Risk-Standardized 
Complication Rate following elective primary Total Hip Arthroplasty 
and/or Total Knee Arthroplasty (CMIT ID #350).
    (2) For all outpatient episodes: Hospital Visits within 7 days of 
Hospital Outpatient Department Surgery (CMIT ID #344, OP-36).
    (3) For all inpatient episodes: Hospital Consumer Assessment of 
Healthcare Providers and Systems Survey (HCAHPS) (CMIT ID #338).
    (4) For all outpatient episodes: Outpatient and Ambulatory Surgery 
Consumer Assessment of Healthcare Providers and Survey (OAS CAHPS) 
(CMIT #162, OP-46).
    (5) For all inpatient episodes: Hospital-Level Total Hip and/or 
Total Knee Arthroplasty Patient-Reported Outcome-Based Performance 
Measure ((PRO-PM) CMIT ID #1618).
    (b) Calculation of the composite quality score (CQS). CMS 
calculates an overall composite quality score during reconciliation, 
capped at 20 points, for each CJR-X participant for the relevant 
performance year. The overall composite quality score equals the sum of 
the inpatient measure composite quality score, as described in 
paragraph (b)(1) of this section, and the outpatient measure composite 
quality score, as described in paragraph (b)(2) of this section:
    (1) CMS calculates the inpatient measure composite quality score by 
summing the following:
    (i) The CJR-X participant's quality performance points for the 
measure identified in paragraph (a)(1) of this section. This measure is 
weighted at 50 percent of the inpatient composite quality score.
    (ii) The CJR-X participant's quality performance points for the 
measure identified in paragraph (a)(3) of this section. This measure is 
weighted at 40 percent of the inpatient composite quality score.
    (iii) The CJR-X participant's quality performance points for the 
measure identified in paragraph (a)(5) of this section. This measure is 
weighted at 10 percent of the inpatient composite quality score.
    (2) CMS calculates the outpatient measure composite quality score 
by summing the following:
    (i) The CJR-X participant's quality performance points for the 
measure identified in paragraphs (a)(2) of this section. This measure 
is weighted at 50 percent of the outpatient composite quality score.
    (ii) The CJR-X participant's quality performance points for the 
measure identified in paragraphs (a)(4) of this section. This measure 
is weighted at 40 percent of the outpatient composite quality score.
    (iii) The CJR-X participant's quality performance points for the 
measure identified in paragraph (a)(5) of this section. This measure is 
weighted at 10 percent of the inpatient composite quality score.
    (c) Quality performance points. CMS calculates quality performance 
points for each quality measure based on the CJR-X participant's 
performance relative to the distribution of performance of all 
hospitals that are eligible for payment under IPPS and meet the minimum 
patient case or survey count for that measure.
    (1) For the measures described in paragraphs (a)(1) and (a)(2) of 
this section, CMS assigns the CJR-X participant measure value to a 
performance percentile and then quality performance points are assigned 
based on the following performance percentile scale:
    (i) 10.00 for >=90th.
    (ii) 9.25 for >=80th and <90th.
    (iii) 8.50 for >=70th and <80th.
    (iv) 7.75 for >=60th and <70th.
    (v) 7.00 for >=50th and <60th.
    (vi) 6.25 for >=40th and <50th.
    (vii) 5.50 for >=30th and <40th.
    (viii) 0.00 for <30th.
    (2) For the measure described in paragraphs (a)(3) and (4) of this 
section, CMS assigns the CJR-X participant measure value to a 
performance percentile and then quality performance points are assigned 
based on the following performance percentile scale:
    (i) 8.00 for >=90th.
    (ii) 7.40 for >=80th and <90th.
    (iii) 6.80 for >=70th and <80th.
    (iv) 6.20 for >=60th and <70th.
    (v) 5.60 for >=50th and <60th.
    (vi) 5.00 for >=40th and <50th.
    (vii) 5.40 for >=30th and <40th.
    (viii) 0.00 for <30th.
    (3) For the measure described in paragraph (a)(5) of this section, 
CMS assigns the CJR-X participant's measure value to a performance 
percentile and then CMS assigns quality performance points based on the 
following performance percentile scale:
    (i) 2.00 for >=90th.
    (ii) 1.85 for >=80th and <90th.
    (iii) 1.70 for >=70th and <80th.
    (iv) 1.55 for >=60th and <70th.
    (v) 1.40 for >=50th and <60th.
    (vi) 1.25 for >=40th and <50th.
    (vii) 1.10 for >=30th and <40th.
    (viii) 0.00 for <30th.
    (d) Exception for hospitals without a measure value.
    (1) If the CJR-X participant is without a measure value that would 
allow CMS to assign quality performance points for that quality 
measure, CMS assigns the 50th percentile quality performance points to 
the CJR-X participant for the individual measure.
    (2) A CJR-X participant will not have a measure value for--
    (i) The measure described in paragraph (a)(1) of this section, if 
the CJR-X participant does not meet the minimum 25 patient case count.
    (ii) The measure described in paragraph (a)(2) of this section, if 
the CJR-X participant does not meet the minimum 25 patient case count.
    (iii) The measure described in paragraph (a)(3) of this section, if 
the CJR-X participant does not meet the minimum 100 completed surveys.
    (iv) The measure described in paragraph (a)(4) of this section, if 
the CJR-X participant does not meet the minimum 100 completed surveys.
    (v) The measure described in paragraph (a)(5) of this section, if 
the CJR-X participant does not meet the minimum 25 patient case count.
    (e) Display of quality measures.

[[Page 19784]]

    (1) CMS displays quality measure results on the publicly available 
CMS website that is specific to CJR-X, in a form and manner consistent 
with other publicly reported measures.
    (2) CMS shares quality measures with the CJR-X participant prior to 
display on the CMS website. Quality measure performance in performance 
year 1 will be reported in Calendar Year 2029. Subsequent years will be 
reported in the year following the performance period.

Pricing Methodology


Sec.  512.640  Determination of preliminary target prices.

    (a) Preliminary target price application. CMS establishes 
preliminary target prices for CJR-X participants for each performance 
year of the model as follows:
    (1) MS-DRG/HCPCS episode type. CMS uses the MS-DRGs and, as 
applicable, HCPCS codes specified in Sec.  512.625(d) when calculating 
the preliminary target prices for each MS-DRG/HCPCS episode type.
    (i) CMS determines a separate preliminary target price for each of 
the MS-DRGs specified in Sec.  512.625(a)(1).
    (ii) Preliminary target prices for MS-DRG 470 include HCPCS 27130 
and 27447.
    (2) Applicable time period for preliminary target prices. CMS 
calculates preliminary target prices for each MS-DRG/HCPCS episode type 
and region for each performance year and applies the preliminary target 
price to each episode based on the episode's date of discharge from the 
anchor hospitalization or the episode's date of the anchor procedure, 
as applicable.
    (3) Episodes that begin in one performance year and end in the 
subsequent performance year. CMS applies the preliminary target price 
to the episode based on the date of discharge from the anchor 
hospitalization or the date of the anchor procedure, as applicable, and 
reconciles the episode based on the date of discharge from the anchor 
hospitalization or the date of the anchor procedure.
    (4) Exception for low-volume hospitals. CJR-X participants with 
fewer than 31 episodes in the applicable baseline period do not receive 
preliminary target prices for the upcoming performance year and are not 
eligible for reconciliation for that performance year.
    (b) Preliminary target price calculation.
    (1) CMS calculates preliminary target prices based on average 
baseline episode spending for the region where the CJR-X participant is 
located. The region used for calculating the preliminary target price 
corresponds to the U.S. Census Division associated with the primary 
address of the CCN of the CJR-X participant, and the regional episode 
spending amount is based on all hospitals in the region, except for 
those excluded from CJR-X as specified in Sec.  512.610(b).
    (2) CMS uses the following baseline periods to determine baseline 
episode spending:
    (i) Performance Year 1: Episodes with anchor hospitalization start 
dates or anchor procedure dates beginning on or after October 1, 2023 
and anchor hospitalization discharge dates or anchor procedure dates 
between October 1, 2023 and September 30, 2026.
    (ii) Performance Year 2 and future performance years: CMS uses the 
same cadence described in paragraph (i) of this section to roll the 
baseline period forward a year to construct the baseline period.
    (3) CMS calculates the benchmark price as the weighted average of 
baseline episode spending, applying the following weights:
    (i) Baseline episode spending from baseline year 1 is weighted at 
17 percent.
    (ii) Baseline episode spending from baseline year 2 is weighted at 
33 percent.
    (iii) Baseline episode spending from baseline year 3 is weighted at 
50 percent.
    (4) Exception for high episode spending. CMS applies a high-cost 
outlier cap to baseline episode spending at the 99th percentile of 
regional spending for each of the MS-DRG/HCPCS episode types specified 
in Sec.  512.640(a)(1) for each baseline year individually.
    (5) Exclusion of incentive programs and add-on payments under 
existing Medicare payment systems. Certain Medicare incentive programs 
and add-on payments are excluded from baseline episode spending by 
using, with certain modifications, the CMS Price (Payment) 
Standardization Detailed Methodology.
    (6) Prospective normalization factor. Based on the episodes in the 
baseline period, CMS calculates a prospective normalization factor, at 
the MS-DRG/HCPCS region level, so that the average of the total risk-
adjusted benchmark price does not exceed the average of the total non-
risk adjusted benchmark price, by:
    (i) Applying risk adjustment multipliers, as specified in Sec.  
512.645(a)(1) through (3), to baseline period episodes to calculate the 
estimated risk-adjusted target price for all performance year episodes; 
and
    (ii) Dividing the mean of the benchmark price for each episode 
across all hospitals and regions by the mean of the estimated risk-
adjusted benchmark price calculated in Sec.  512.640(b)(6)(i) for the 
same episode types across all hospitals and regions.
    (7) Prospective trend factor. The prospective trend factor for each 
MS-DRG/HCPCS episode type and region is the average (arithmetic mean) 
of the multiplier, as calculated in paragraph (i) of this section, for 
that MS-DRG/HCPCS episode type and region and the national average for 
that MS-DRG/HCPCS episode type.
    (i) CMS calculates a multiplier for each MS-DRG/HCPCS episode type 
and region and applies that multiplier to the most recent calendar year 
of the applicable baseline period. The multiplier is calculated using 
linear regression on the logarithmically transformed average regional 
spending for each MS-DRG/HCPCS episode type in the baseline years at 
both the regional and national level.
    (ii) CMS exponentiates the coefficient from this regression to 
calculate the estimated annual change (where an exponentiated 
coefficient of 1 signifies no change) in average regional spending for 
each MS-DRG/HCPCS episode type from year to year.
    (8) Discount factor. CMS incorporates a discount factor of 2 
percent to the CJR-X participant's preliminary episode target prices 
intended to reflect Medicare's potential savings from CJR-X.
    (9) Communication of preliminary target prices. CMS communicates, 
in a form and manner specified by CMS, the preliminary target prices 
for each MS-DRG/HCPCS episode type for each region to the CJR-X 
participant before the performance year in which they apply.


Sec.  512.645  Determination of reconciliation target prices.

    CMS calculates the reconciliation target price as follows:
    (a) Risk adjustment factors. CMS risk adjusts the preliminary 
episode target prices calculated under Sec.  512.640 at the beneficiary 
level using a CJR-X Hierarchical Condition Category (HCC) count risk 
adjustment factor, an age bracket risk adjustment factor, a beneficiary 
economic risk adjustment factor, and the additional factors specified 
in paragraph (a)(6) of this section, and at the hospital level using a 
hospital bed size risk adjustment factor and a safety net hospital risk 
adjustment factor.

[[Page 19785]]

    (1) The CJR-X HCC count risk adjustment factor uses five variables, 
representing beneficiaries with zero, one, two, three, or four or more 
CMS-HCC conditions based on a 180-day lookback period that begins 181 
days prior to the anchor hospitalization or anchor procedure and ends 
on the day prior to the anchor hospitalization or anchor procedure.
    (2) The age bracket risk adjustment factor uses four variables, 
representing beneficiaries in the following age groups as of the first 
day of the episode:
    (i) Less than 65 years.
    (ii) 65 to less than 75 years.
    (iii) 75 years to less than 85 years.
    (iv) 85 years or more.
    (3) The beneficiary economic risk adjustment factor uses two 
variables, representing beneficiaries that, as of the first day of the 
episode:
    (i) Meet one or more of the following economic measures:
    (A) National CDI above the 80th percentile.
    (B) Eligibility for the low-income subsidy.
    (C) Eligibility for full Medicaid benefits.
    (ii) Do not meet any of the three economic measures in paragraph 
(a)(3)(i) of this section.
    (4) The hospital bed size risk adjustment factor uses four 
variables based on the CJR-X participant's characteristics:
    (i) 250 beds or fewer.
    (ii) 251-500 beds.
    (iii) 501-850 beds.
    (iv) 850 beds or more.
    (5) The safety net hospital risk adjustment factor is based on the 
CJR-X participant meeting the safety net hospital definition in Sec.  
512.605.
    (6) Additional beneficiary level risk adjustment factors represent 
the presence or absence in beneficiaries, based on a 180-day lookback 
period that ends on the day prior to the anchor hospitalization or 
anchor procedure, of each of the following conditions:
    (i) Ankle procedure or reattachment, partial hip procedure, partial 
knee arthroplasty, total hip arthroplasty or hip resurfacing procedure, 
and total knee arthroplasty.
    (ii) Disability as the original reason for Medicare enrollment.
    (iii) Prior post-acute care use.
    (iv) HCC 17: Cancer Metastatic to Lung, Liver, Brain, and Other 
Organs; Acute Myeloid Leukemia Except Promyelocytic.
    (v) HCC 36: Diabetes with Severe Acute Complications.
    (vi) HCC 37: Diabetes with Chronic Complications.
    (vii) HCC 48: Morbid Obesity.
    (viii) HCC 125: Dementia, Severe.
    (ix) HCC 126: Dementia, Moderate.
    (x) HCC 127: Dementia, Mild or Unspecified.
    (xi) HCC 151: Schizophrenia.
    (xii) HCC 155: Major Depression, Moderate or Severe, without 
Psychosis.
    (xiii) HCC 199: Parkinson and Other Degenerative Disease of Basal 
Ganglia.
    (xiv) HCC 224: Acute on Chronic Heart Failure.
    (xv) HCC 225: Acute Heart Failure (Excludes Acute on Chronic).
    (xvi) HCC 226: Heart Failure, Except End-Stage and Acute.
    (xvii) HCC 238: Specified Heart Arrhythmias.
    (xviii) HCC 253: Hemiplegia/Hemiparesis.
    (xix) HCC 267: Deep Vein Thrombosis and Pulmonary Embolism.
    (xx) HCC 280: Chronic Obstructive Pulmonary Disease, Interstitial 
Lung Disorders, and Other Chronic Lung Disorders.
    (xxi) HCC 326: Chronic Kidney Disease, Stage 5.
    (xxii) HCC 327: Chronic Kidney Disease, Severe (Stage 4).
    (xxiii) HCC 383: Chronic Ulcer of Skin, Except Pressure, Not 
Specified as Through to Bone or Muscle.
    (xxiv) HCC 402: Hip Fracture/Dislocation.
    (b) Timing and data used for risk adjustment. CMS uses 3 years of 
baseline period data, as described under Sec.  512.640(b)(2)(i) and 
(ii), to compute all risk adjustment factors prior to the start of the 
performance year through a linear regression analysis.
    (c) Risk adjustment coefficients. CMS produces exponentiated 
coefficients through the annual linear regression analysis to determine 
the anticipated marginal effect of each risk adjustment factor on 
episode costs. CMS transforms, or exponentiates, these coefficients, 
and the resulting coefficients are the beneficiary and hospital-level 
risk adjustment factors, specified in paragraphs (a)(1) through (6) of 
this section, that would be used during reconciliation for the 
subsequent performance year.
    (d) Applying risk adjustment at reconciliation. At the time of 
reconciliation, CMS risk adjusts the preliminary target prices 
calculated under Sec.  512.640 by applying the applicable beneficiary 
level and hospital-level risk adjustment factors specific to the 
beneficiary in the episode, as set forth in paragraphs (a)(1) through 
(6) of this section.
    (e) Normalization factor update. CMS normalizes the risk-adjusted 
preliminary target prices at reconciliation so that the average of the 
total risk-adjusted preliminary target price does not exceed the 
average of the total non-risk adjusted preliminary target price.
    (1) The final normalization factor at reconciliation--
    (i) Is the mean benchmark price for each MS-DRG/HCPCS episode type 
and region divided by the mean risk-adjusted benchmark price for the 
same MS-DRG/HCPCS episode type and region.
    (ii) As applied, cannot exceed +/- 5 percent of the prospective 
normalization factor (as specified in Sec.  512.640(b)(6)).
    (2) CMS applies the final normalization factor to the previously 
calculated, beneficiary-level, risk-adjusted target prices specific to 
each region and MS-DRG/HCPCS episode type.
    (f) Trend factor update. CMS calculates a multiplier for each MS-
DRG/HCPCS episode type and region which is applied during 
reconciliation to the most recent calendar year of the applicable 
baseline period. The multiplier is calculated as the average regional 
capped performance year episode spending for each MS-DRG/HCPCS episode 
type divided by the average regional capped baseline period episode 
spending for each MS-DRG/HCPCS episode type.
    (1) The retrospective trend factor is capped so that the maximum 
difference cannot exceed 3 percent of the prospective trend 
factor (as specified in Sec.  512.640(b)(7)).
    (2) CMS applies the capped retrospective trend factor to the 
previously calculated normalized, risk adjusted target prices specific 
to each region and MS-DRG/HCPCS episode type, as specified in paragraph 
(e)(2) of this section.
    (g) Payment system changes. CMS updates preliminary target prices, 
as computed under Sec.  512.640, during the construction of 
reconciliation target prices to account for calendar year and fiscal 
year payment rule updates that occur after preliminary target prices 
are constructed.
    (h) Quality adjustment to discount factor. CMS calculates a 
composite quality score as specified at Sec.  512.635(b) and adjusts 
the discount factor specified at Sec.  512.640(b)(8) to calculate the 
reconciliation target prices, which are compared to performance year 
spending at reconciliation, as specified in Sec.  512.650(c) as 
follows:
    (1) A CJR-X participant with excellent composite quality scores, 
defined as composite quality scores greater than or equal to 17.1, 
receives a 0.0 discount factor.

[[Page 19786]]

    (2) A CJR-X participant with good composite quality scores, defined 
as composite quality scores greater than or equal to 12.1 and less than 
or equal to 17.0, receives a 1.0 discount factor.
    (3) A CJR-X participant with acceptable composite quality scores, 
defined as composite quality scores greater than or equal to 6.1 and 
less than or equal to 12.0, receives a 2.0 discount factor.
    (4) A CJR-X participant with below acceptable composite quality 
scores, defined as composite quality scores less than or equal to 6.0, 
receives a 2.0 discount factor and are ineligible to receive a 
reconciliation payment, as specified in Sec.  512.650(d).


Sec.  512.650  Reconciliation process and determination of the 
reconciliation payment or repayment amount.

    (a) General. Providers and suppliers furnishing items and services 
included in the episode bill for such items and services in accordance 
with existing Medicare rules.
    (b) Reconciliation process.
    (1) Six months after the end of each performance year, CMS performs 
a reconciliation calculation to establish a reconciliation payment or 
repayment amount for each CJR-X participant as described in paragraph 
(c) of this section.
    (2) For CJR-X participants that experience a reorganization event 
in which one or more hospitals reorganize under the CCN of a CJR-X 
participant, CMS performs both of the following:
    (i) Separate reconciliation calculations for each predecessor CJR-X 
participant for episodes where the anchor hospitalization admission or 
the anchor procedure occurred before the effective date of the 
reorganization event.
    (ii) Reconciliation calculations for each new or surviving CJR-X 
participant for episodes where the anchor hospitalization admission or 
anchor procedure occurred on or after the effective date of the 
reorganization event.
    (c) Calculation of the Net Payment Reconciliation Amount (NPRA). 
CMS compares the reconciliation target prices described in Sec.  
512.645 and the CJR-X participant's performance year spending to 
establish an NPRA for the CJR-X participant for each performance year 
as follows:
    (1) CMS determines the performance year spending for each episode 
included in the performance year (other than episodes that have been 
canceled in accordance with Sec.  512.630(b)) for each MS-DRG/HCPCS 
episode type using claims data that is available 6 months after the end 
of the performance year.
    (2) CMS calculates and applies the high-cost outlier cap for 
performance year episode spending by applying the calculation described 
in Sec.  512.640(b)(4) to performance year episode spending for each 
MS-DRG/HCPCS episode type.
    (3) CMS applies the adjustments specified in Sec.  512.645 to the 
preliminary target prices computed in accordance with Sec.  512.640 to 
calculate the reconciliation target prices for each MS-DRG/HCPCS 
episode type.
    (4) CMS aggregates the reconciliation target prices computed in 
accordance with paragraph (c)(3) of this section for all episodes 
included in the performance year (other than episodes that have been 
canceled in accordance with Sec.  512.630(b)).
    (5) CMS aggregates the adjusted performance year spending amounts 
determined under paragraph (c)(1) through (2) of this section and 
subtracts the resulting amount from the aggregated reconciliation 
target price amount determined under paragraph (c)(3) through (4) of 
this section.
    (6) CMS applies stop-loss and stop-gain limits to the amount 
computed in paragraph (c)(5) of this section as follows:
    (i) Limitation on loss. For CJR-X participants, except as provided 
in paragraph (d)(3) of this section, the repayment amount for a 
performance year cannot exceed 20 percent of the aggregated 
reconciliation target price amount calculated in paragraph (c)(4) of 
this section for the performance year. The post-episode spending 
calculation amount in paragraph (c)(7) of this section is not subject 
to the limitation on loss.
    (ii) Limitation on gain. For CJR-X participants, the reconciliation 
payment amount for a performance year cannot exceed 20 percent of the 
aggregated reconciliation target price amount calculated in accordance 
with paragraph (c)(4) of this section for the performance year. The 
post-episode spending amount calculated in accordance with paragraph 
(c)(7) of this section is not subject to the limitation on gain.
    (iii) Additional limitation on loss for certain hospitals. The 
repayment amount for the following types of CJR-X participants as 
defined at Sec.  512.605, cannot exceed 5 percent of the aggregated 
reconciliation target price amount calculated in accordance with 
paragraph (c)(4) of this section:
    (A) Medicare-dependent, small rural hospital (MDH).
    (B) Rural hospital.
    (C) Safety net hospital.
    (D) Sole community hospital (SCH).
    (7) CMS calculates the post-episode spending amount. If the average 
post-episode spending amount for a CJR-X participant in the performance 
year being reconciled is greater than 3 standard deviations above the 
regional average post-episode spending amount for the performance year, 
then the post-episode spending amount that exceeds 3 standard 
deviations above the regional average post-episode spending amount for 
the performance year is subtracted from the NPRA for that performance 
year.
    (d) Reconciliation payment or repayment amount.
    (1) Excluding CJR-X participants that receive a below acceptable 
composite quality score, as specified in Sec.  512.645(h), if the 
amount calculated in paragraph (c) of this section is positive, the 
CJR-X participant is owed a reconciliation payment in that amount, to 
be paid by CMS in one lump sum payment.
    (2) If the amount calculated in paragraph (c) of this section is 
negative, the CJR-X participant will owe that amount as a repayment to 
CMS.
    (e) CJR-X reconciliation report. CMS issues each CJR-X participant 
a CJR-X reconciliation report for the performance year. Each CJR-X 
reconciliation report contains the following:
    (1) The total performance year spending for the CJR-X participant.
    (2) The CJR-X participant's reconciliation target prices.
    (3) The CJR-X participant's reconciliation amount.
    (4) The CJR-X participant's composite quality score calculated in 
accordance with Sec.  512.635(b).
    (5) The CJR-X participant's quality-adjusted reconciliation amount.
    (6) The stop-loss and stop-gain limits that apply to the CJR-X 
participant.
    (7) The CJR-X participant's NPRA.
    (8) The CJR-X participant's post-episode spending amount, if 
applicable.
    (9) The amount of any reconciliation payment owed to the CJR-X 
participant or repayment owed by the CJR-X participant to CMS for the 
performance year, if applicable.


Sec.  512.652  Treatment of incentive programs or add-on payments under 
existing Medicare payment systems.

    The CJR-X does not replace any existing Medicare incentive programs 
or add-on payments. The CJR-X payments are independent of, and do not 
affect, any incentive programs or add-on payments under existing 
Medicare payment systems.

[[Page 19787]]

Sec.  512.655  Proration of payments for services that extend beyond an 
episode.

    (a) General. CMS prorates services included in the episode that 
extend beyond the episode so that only those portions of the services 
that were furnished during the episode are included in the calculation 
of the actual episode payments.
    (b) Proration of services. CMS prorates payments for services that 
extend beyond the episode for the purposes of calculating both baseline 
episode spending and performance year spending using the following 
methodology:
    (1) Non-IPPS inpatient services. Non-IPPS inpatient services that 
extend beyond the end of the episode are prorated according to the 
percentage of the actual length of stay (in days) that falls within the 
episode.
    (2) Home health agency services. Home health agency services paid 
under the Medicare prospective payment system in accordance with part 
484, subpart E of this chapter that extend beyond the episode are 
prorated according to the percentage of days, starting with the first 
billable service date and through and including the last billable 
service date, that occur during the episode.
    (3) IPPS services. IPPS services that extend beyond the end of the 
episode are prorated according to the MS-DRG geometric mean length of 
stay, using the following methodology:
    (i) The first day of the IPPS stay is counted as 2 days.
    (ii) If the actual length of stay that occurred during the episode 
is equal to or greater than the MS-DRG geometric mean, the full MS-DRG 
payment is allocated to the episode.
    (iii) If the actual length of stay that occurred during the episode 
is less than the MS-DRG geometric mean length of stay, the MS-DRG 
payment amount is allocated to the episode based on the number of 
inpatient days that fall within the episode.
    (4) If the full amount of the payment is not allocated to the 
episode, any remainder amount is allocated to the post-episode spending 
calculation (defined in Sec.  512.650(c)(7)).


Sec.  512.660  Appeals process.

    (a) General. Subject to the limitations on review in Sec.  512.170, 
the CJR-X participant may submit a notice of calculation error for one 
or more calculations involving a matter related to payment, 
reconciliation amounts, repayment amounts, the use of quality measure 
results in determining the composite quality score, or the application 
of the composite quality score during reconciliation.
    (b) Requirements.
    (1) If the CJR-X participant identifies a calculation error as 
described in paragraph (a) of this section, the CJR-X participant must 
submit written notice of the error, in a form and manner specified by 
CMS, within 30 days of the issuance of the reconciliation report.
    (2) If the CJR-X participant does not provide timely written notice 
of calculation error, CMS deems the CJR-X reconciliation report to be 
final 30 days after it is issued and proceeds with the payment or 
repayment processes as applicable.
    (3) Only CJR-X participants may use the calculation error process 
described in this part.
    (c) Process.
    (1) If CMS determines the timely error notice meets the 
requirements of this section and contains sufficient information to 
substantiate the request, CMS issues an initial determination in 
writing within 30 days of receipt to either confirm that there was an 
error in the calculation or verify that the calculation is correct.
    (2) CMS reserves the right to extend the time for providing its 
initial final determination upon written notice to the CJR-X 
participant.
    (3) If the request is not compliant with the requirements of this 
section or requires additional information--
    (i) CMS contacts the CJR-X participant to request additional 
information in a form and manner as specified by CMS;
    (ii) The CJR-X participant must respond within 10 days of CMS' 
request for additional information in a form and manner as specified by 
CMS; and
    (iii) If a CJR-X participant does not respond in accordance with 
paragraph (c)(3)(ii) of this section, then the reconciliation report is 
deemed final.
    (d) Reconsideration request. A CJR-X participant who wishes to 
dispute an initial determination made in accordance with paragraph (c) 
of this section may invoke the reconsideration review process under 
Sec.  512.190.

Data Sharing


Sec.  512.665  Data sharing with CJR-X participants.

    (a) General. CMS shares certain beneficiary-identifiable data as 
described in paragraphs (b), (c), and (e) of this section and certain 
regional aggregate data as described in paragraph (d) of this section 
with CJR-X participants regarding CJR-X beneficiaries and performance 
under the model.
    (b) Beneficiary-identifiable claims data. CMS shares beneficiary-
identifiable claims data with CJR-X participants as follows:
    (1) CMS makes available certain beneficiary-identifiable claims 
data described in paragraph (5) of this section for CJR-X participants 
to request for purposes of conducting health care operations work that 
falls within the first or second paragraph of the definition of health 
care operations at 45 CFR 164.501 regarding their CJR-X beneficiaries.
    (2) A CJR-X participant that wishes to receive beneficiary-
identifiable claims data for its CJR-X beneficiaries must:
    (i) Submit a formal request for the data on an annual basis in a 
manner and form and by a date specified by CMS, indicating their 
selection of summary beneficiary-identifiable data, raw beneficiary-
identifiable data, or both, and attest that--
    (A) The CJR-X participant is requesting claims data of CJR-X 
beneficiaries who would be in an episode during the baseline period or 
performance year, as a HIPAA covered entity.
    (B) The CJR-X participant's request reflects the minimum data 
necessary, as set forth in paragraph (c) of this section, for the CJR-X 
participant to conduct health care operations work that falls within 
the first or second paragraph of the definition of health care 
operations at 45 CFR 164.501.
    (C) The CJR-X participant's use of claims data will be limited to 
developing processes and engaging in appropriate activities related to 
coordinating care, improving the quality and efficiency of care, and 
conducting population-based activities relating to improving health or 
reducing health care costs that are applied uniformly to all CJR-X 
beneficiaries, in an episode during the baseline period or performance 
year, and that these data will not be used to reduce, limit or restrict 
care for specific Medicare beneficiaries.
    (ii) Sign and submit a CJR-X data sharing agreement, as defined in 
Sec.  512.605, with CMS as set forth in paragraph (e) of this section.
    (3) CMS shares this beneficiary-identifiable claims data with a 
CJR-X participant in accordance with applicable privacy and security 
laws and established privacy and security protections.
    (4) CMS omits from the beneficiary-identifiable claims data any 
information that is subject to the regulations in 42 CFR part 2 
governing the confidentiality of substance use disorder patient 
records.

[[Page 19788]]

    (5) The beneficiary-identifiable claims data will include, when 
available, the following:
    (i) Unrefined (raw) Medicare Parts A and B beneficiary-identifiable 
claims data for CJR-X beneficiaries in an episode during the 3-year 
baseline period and performance year.
    (ii) Summarized (summary) Medicare Parts A and B beneficiary-
identifiable claims data for CJR-X beneficiaries in an episode during 
the 3-year baseline period and applicable performance year.
    (6) CMS makes available the beneficiary-identifiable claims data 
for retrieval by CJR-X participants at the following frequency:
    (i) Annually, at least one month prior to every performance year 
for baseline period data, based on the baseline periods described in 
Sec.  512.640(b)(2).
    (ii) As frequently as monthly during the performance year and for 
up to 6 months after the performance year for performance year data.
    (c) Minimum necessary data. The CJR-X participant must limit its 
request for beneficiary-identifiable data under paragraph (b) of this 
section to the minimum necessary Parts A and B data elements which may 
include, but are not limited to the following:
    (1) Medicare beneficiary identifier (ID).
    (2) Procedure code.
    (3) Sex.
    (4) Diagnosis code.
    (5) Claim ID.
    (6) The from and through dates of service.
    (7) The provider or supplier ID.
    (8) The claim payment type.
    (9) Date of birth and death, if applicable.
    (10) Tax identification number.
    (11) National provider identifier.
    (d) Regional aggregate data.
    (1) CMS shares regional aggregate data for the 3-year baseline 
period and relevant performance year with CJR-X participants as 
follows.
    (i) CMS shares 3-year baseline period regional aggregate data 
annually at least 1 month before the relevant performance year, based 
on the baseline periods described in Sec.  512.640(b)(2).
    (ii) CMS shares performance year regional aggregate data as 
frequently as a monthly basis during the applicable performance year 
and for up to 6 months after the relevant performance year.
    (2) Regional aggregate data will--
    (i) Be aggregated based on all Parts A and B claims associated with 
episodes in CJR-X for the U.S. Census Division in which the CJR-X 
participant is located;
    (ii) Summarize average episode spending for episodes in CJR-X in 
the U.S. Census Division in which the CJR-X participant is located; and
    (iii) Be de-identified in accordance with 45 CFR 164.514(b).
    (e) CJR-X data sharing agreement.
    (1) A CJR-X participant who wishes to retrieve the beneficiary-
identifiable data specified in paragraph (b) of this section, must 
complete and submit, on at least an annual basis, a signed CJR-X data 
sharing agreement, as defined in Sec.  512.605, to be provided in a 
form and manner and by a date specified by CMS, under which the CJR-X 
Participant agrees:
    (i) To comply with the requirements for use and disclosure of this 
beneficiary-identifiable data that are imposed on covered entities by 
the HIPAA Privacy Rule (45 CFR part 160 and subparts A and E of part 
164) and the requirements of the CJR-X set forth in this part.
    (ii) To comply with additional privacy, security, breach 
notification, and data retention requirements specified by CMS in the 
CJR-X data sharing agreement.
    (iii) To contractually bind each downstream recipient of the 
beneficiary-identifiable data that is a business associate of the CJR-X 
participant to the same terms and conditions to which the CJR-X 
participant is itself bound in its CJR-X data sharing agreement with 
CMS as a condition of the business associate's receipt of the 
beneficiary-identifiable data retrieved by the CJR-X participant under 
the CJR-X.
    (iv) That if the CJR-X participant misuses or discloses the 
beneficiary-identifiable data in a manner that violates any applicable 
statutory or regulatory requirements or that is otherwise non-compliant 
with the provisions of the data sharing agreement, CMS may deem the 
CJR-X participant ineligible to retrieve beneficiary-identifiable data 
under paragraph (b) of this section for any amount of time, and the 
CJR-X participant may be subject to additional sanctions and penalties 
available under the law.
    (2) A CJR-X participant must comply with all applicable laws and 
the terms of the CJR-X data sharing agreement in order to retrieve the 
beneficiary-identifiable data.

Financial Arrangements and Beneficiary Incentives


Sec.  512.670  Sharing arrangements.

    (a) General.
    (1) A CJR-X participant may enter into a sharing arrangement with a 
CJR-X collaborator to make a gainsharing payment, or to receive an 
alignment payment, or both. A CJR-X participant must not make a 
gainsharing payment to a CJR-X collaborator or receive an alignment 
payment from a CJR-X collaborator except in accordance with a sharing 
arrangement.
    (2) A sharing arrangement must comply with the provisions of this 
section and all other applicable laws and regulations, including the 
applicable fraud and abuse laws and all applicable payment and coverage 
requirements.
    (3) CJR-X participants must develop, maintain, and use a set of 
written policies for selecting individuals and entities to be CJR-X 
collaborators.
    (i) These policies must contain criteria related to, and inclusive 
of, the quality of care delivered by the potential CJR-X collaborator 
and the provision of CJR-X activities.
    (ii) The selection criteria cannot be based directly or indirectly 
on the volume or value of past or anticipated referrals or business 
otherwise generated by, between or among the CJR-X participant, any 
CJR-X collaborator, any collaboration agent, any downstream 
collaboration agent, or any individual or entity affiliated with a CJR-
X participant, CJR-X collaborator, collaboration agent, or downstream 
collaboration agent.
    (iii) A selection criterion that considers whether a potential CJR-
X collaborator has performed a reasonable minimum number of services 
that would qualify as CJR-X activities, as determined by the CJR-X 
participant, will be deemed not to violate the volume or value standard 
if the purpose of the criterion is to ensure the quality of care 
furnished to CJR-X beneficiaries.
    (4) If a CJR-X participant enters into a sharing arrangement, its 
compliance program must include oversight of sharing arrangements and 
compliance with the applicable requirements of CJR-X.
    (b) Requirements.
    (1) A sharing arrangement must be in writing and signed by the 
parties, and entered into before care is furnished to CJR-X 
beneficiaries under the sharing arrangement.
    (2) Participation in a sharing arrangement must be voluntary and 
without penalty for nonparticipation.
    (3) The sharing arrangement must require the CJR-X collaborator and 
its employees, contractors (including collaboration agents), and 
subcontractors (including downstream collaboration agents) to comply 
with all of the following:
    (i) The applicable provisions of this part 512 (including 
requirements regarding beneficiary notifications in

[[Page 19789]]

Sec.  512.622, access to records in Sec.  512.135(b), record retention 
in Sec.  512.135(c), and participation in any evaluation, monitoring, 
compliance in Sec.  512.130, and enforcement activities performed by 
CMS or its designees in Sec.  512.160).
    (ii) All applicable Medicare provider enrollment requirements at 
Sec.  424.500 of this chapter, including having a valid and active TIN 
or NPI, during the term of the sharing arrangement.
    (iii) All other applicable laws and regulations.
    (4) The sharing arrangement must require the CJR-X collaborator to 
have or be covered by a compliance program that includes oversight of 
the sharing arrangement and compliance with the requirements of CJR-X 
that apply to its role as a CJR-X collaborator, including any 
distribution arrangements.
    (5) The sharing arrangement must not pose a risk to beneficiary 
access, beneficiary freedom of choice, or quality of care.
    (6) The board or other governing body of the CJR-X participant must 
have responsibility for overseeing the CJR-X participant's 
participation in CJR-X, its arrangements with CJR-X collaborators, its 
payment of gainsharing payments, its receipt of alignment payments, and 
its use of beneficiary incentives in the CJR-X model.
    (7) The specifics of the agreement must be documented in writing 
and must be made available to CMS upon request (as outlined in Sec.  
512.150).
    (8) The sharing arrangement must specify the following:
    (i) The purpose and scope of the sharing arrangement.
    (ii) The obligations of the parties, including specified CJR-X 
activities and other services to be performed by the parties under the 
sharing arrangement.
    (iii) The date range for which the sharing arrangement is 
effective.
    (iv) The financial or economic terms for payment, including the 
following:
    (A) Eligibility criteria for a gainsharing payment.
    (B) Eligibility criteria for an alignment payment.
    (C) Frequency of gainsharing or alignment payments.
    (D) Methodology and accounting formula for determining the amount 
of a gainsharing payment or alignment payment.
    (9) The sharing arrangement must not do either of the following:
    (i) Induce the CJR-X participant, CJR-X collaborator, or any 
employees, contractors, or subcontractors of the CJR-X participant or 
CJR-X collaborator to reduce or limit medically necessary services to 
any Medicare beneficiary.
    (ii) Restrict the ability of a CJR-X collaborator to make decisions 
in the best interests of its patients, including the selection of 
devices, supplies, and treatments.
    (c) Gainsharing payment, alignment payment, and internal cost 
savings conditions and restrictions.
    (1) Gainsharing payments, if any, must--
    (i) Be derived solely from reconciliation payment amounts, or 
internal cost savings, or both;
    (ii) Be distributed on an annual basis (not more than once per 
calendar year);
    (iii) Not be a loan, advance payment, or payment for referrals or 
other business; and
    (iv) Be clearly identified as a gainsharing payment at the time it 
is paid.
    (2) Gainsharing payment eligibility--
    (i) To be eligible to receive a gainsharing payment, a CJR-X 
collaborator must meet quality of care criteria for the performance 
year for which the CJR-X participant accrued the internal cost savings 
or earned the reconciliation payment that comprises the gainsharing 
payment. The quality-of-care criteria must be established by the CJR-X 
participant and directly relate to the episode.
    (ii) To be eligible to receive a gainsharing payment, or to be 
required to make an alignment payment, a CJR-X collaborator other than 
ACO, PGP, NPPGP, or TGP must have directly furnished a billable item or 
service to a CJR-X beneficiary during an episode that was attributed to 
the same performance year for which the CJR-X participant accrued the 
internal cost savings or earned the reconciliation payment amount or 
repayment amount that comprises the gainsharing payment or the 
alignment payment.
    (iii) To be eligible to receive a gainsharing payment, or to be 
required to make an alignment payment, a CJR-X collaborator that is a 
PGP, NPPGP, or TGP must meet the following criteria:
    (A) The PGP, NPPGP, or TGP must have billed for an item or service 
that was rendered by one or more PGP member, NPPGP member, or TGP 
member respectively to a CJR-X beneficiary during an episode that was 
attributed to the same performance year for which the CJR-X participant 
accrued the internal cost savings or earned the reconciliation payment 
amount or repayment amount that comprises the gainsharing payment or 
the alignment payment.
    (B) The PGP, NPPGP, or TGP must have contributed to CJR-X 
activities and been clinically involved in the care of CJR-X 
beneficiaries during the same performance year for which the CJR-X 
participant accrued the internal cost savings or earned the 
reconciliation payment amount or repayment amount that comprises the 
gainsharing payment or the alignment payment. A non-exhaustive list of 
examples where, a PGP, NPPGP, or TGP might have been clinically 
involved in the care of CJR-X beneficiaries includes--
    (1) Providing care coordination services to CJR-X beneficiaries 
during or after inpatient admission;
    (2) Engaging with a CJR-X participant in care redesign strategies, 
and performing a role in implementing such strategies, that are 
designed to improve the quality of care for episodes and reduce episode 
spending; or
    (3) In coordination with other providers and suppliers (such as PGP 
members, NPPGP members, or TGP members; the CJR-X participant; and 
post-acute care providers), implementing strategies designed to address 
and manage the comorbidities of CJR-X beneficiaries.
    (iv) To be eligible to receive a gainsharing payment, or to be 
required to make an alignment payment, a CJR-X collaborator that is an 
ACO must meet the following criteria:
    (A) The ACO must have had an ACO provider/supplier that directly 
furnished, or an ACO participant that billed for, an item or service 
that was rendered to a CJR-X beneficiary during an episode that was 
attributed to the same performance year for which the CJR-X participant 
accrued the internal cost savings or earned the reconciliation payment 
amount or repayment amount that comprises the gainsharing payment or 
the alignment payment; and
    (B) The ACO must have contributed to CJR-X activities and been 
clinically involved in the care of CJR-X beneficiaries during the 
performance year for which the CJR-X participant accrued the internal 
cost savings or earned the reconciliation payment amount or repayment 
amount that comprises the gainsharing payment or the alignment payment. 
A non-exhaustive list of ways in which an ACO might have been 
clinically involved in the care of CJR-X beneficiaries could include--
    (1) Providing care coordination services to CJR-X beneficiaries 
during and/or after inpatient admission;
    (2) Engaging with a CJR-X participant in care redesign strategies 
and performing a role in implementing such strategies that are designed 
to improve the quality of care and reduce spending for episodes; or
    (3) In coordination with providers and suppliers (such as ACO 
participants,

[[Page 19790]]

ACO providers/suppliers, the CJR-X participant, and post-acute care 
providers), implementing strategies designed to address and manage the 
comorbidities of CJR-X beneficiaries.
    (3) The methodology for accruing, calculating and verifying 
internal cost savings will be determined by the CJR-X participant. The 
methodology--
    (i) Must be transparent, measurable, and verifiable in accordance 
with generally accepted accounting principles (GAAP) and Government 
Auditing Standards (The Yellow Book).
    (ii) Used to calculate internal cost savings must reflect the 
actual, internal cost savings achieved by the CJR-X participant through 
the documented implementation of CJR-X activities identified by the 
CJR-X participant and must exclude--
    (A) Any savings realized by any individual or entity that is not 
the CJR-X participant; and
    (B) ``Paper'' savings from accounting conventions or past 
investment in fixed costs.
    (4) The amount of any gainsharing payments must be determined in 
accordance with a methodology that is based solely on quality of care 
and the provision of CJR-X activities. The methodology may take into 
account the amount of CJR-X activities provided by a CJR-X collaborator 
relative to other CJR-X collaborators.
    (5) For a performance year, the aggregate amount of all gainsharing 
payments that are derived from reconciliation payment amounts must not 
exceed the amount of that year's reconciliation payment amount.
    (6) No entity or individual, whether a party to a sharing 
arrangement or not, may condition the opportunity to make or receive 
gainsharing payments or to make or receive alignment payments directly 
or indirectly on the volume or value of past or anticipated referrals 
or business otherwise generated by, between or among the CJR-X 
participant, any CJR-X collaborator, any collaboration agent, any 
downstream collaboration agent, or any individual or entity affiliated 
with a CJR-X participant, CJR-X collaborator, collaboration agent, or 
downstream collaboration agent.
    (7) A CJR-X participant must not make a gainsharing payment to a 
CJR-X collaborator if CMS has notified the CJR-X participant that such 
CJR-X collaborator is subject to any action by CMS, HHS or any other 
governmental entity, or its designees, for noncompliance with this part 
or the fraud and abuse laws, for the provision of substandard care to 
CJR-X beneficiaries or other integrity problems, or for any other 
program integrity problems or noncompliance with any other laws or 
regulations.
    (8) The sharing arrangement must require the CJR-X participant to 
recoup any gainsharing payment that contained funds derived from a CMS 
overpayment on a reconciliation payment amount or was based on the 
submission of false or fraudulent data.
    (9) Alignment payments from a CJR-X collaborator to a CJR-X 
participant may be made at any interval that is agreed upon by both 
parties, and must not be--
    (i) Issued, distributed, or paid prior to the calculation by CMS of 
a repayment amount;
    (ii) Loans, advance payments, or payments for referrals or other 
business; or
    (iii) Assessed by a CJR-X participant in the absence of a repayment 
amount.
    (10) The CJR-X participant must not receive any amounts under a 
sharing arrangement from a CJR-X collaborator that are not alignment 
payments.
    (11) For a performance year, the aggregate amount of all alignment 
payments received by the CJR-X participant must not exceed 50 percent 
of the CJR-X participant's repayment amount.
    (12) The aggregate amount of all alignment payments from a CJR-X 
collaborator to the CJR-X participant may not be greater than with 
respect to a CJR-X collaborator--
    (i) Other than an ACO, 25 percent of the CJR-X participant's 
repayment amount; or
    (ii) That is an ACO, 50 percent of the CJR-X participant's 
repayment amount.
    (13) The amount of any alignment payments must be determined in 
accordance with a methodology that does not directly account for the 
volume or value of past or anticipated referrals or business otherwise 
generated by, between or among the CJR-X participant, any CJR-X 
collaborator, any collaboration agent, any downstream collaboration 
agent, or any individual or entity affiliated with a CJR-X participant, 
CJR-X collaborator, collaboration agent, or downstream collaboration 
agent.
    (14) All gainsharing payments and any alignment payments must be 
administered by the CJR-X participant in accordance with generally 
accepted accounting principles (GAAP) and Government Auditing Standards 
(The Yellow Book).
    (15) All gainsharing payments and alignment payments must be made 
by check, electronic funds transfer, or another traceable cash 
transaction.
    (d) Documentation requirements.
    (1) CJR-X participants must--
    (i) Document the sharing arrangement contemporaneously with the 
establishment of the arrangement;
    (ii) Post (and update on at least a quarterly basis) on a publicly 
available web page on the CJR-X participant's website the following:
    (A) Accurate lists of all current CJR-X collaborators, including 
the CJR-X collaborators' names and addresses as well as accurate 
historical lists of all CJR-X collaborators.
    (B) Written policies for selecting individuals and entities to be 
CJR-X collaborators as required by Sec.  512.670(a)(3).
    (iii) Maintain, and require each CJR-X collaborator to maintain, 
contemporaneous documentation with respect to the payment or receipt of 
any gainsharing payment or alignment payment that includes all of the 
following, at a minimum:
    (A) Nature of the payment (gainsharing payment or alignment 
payment).
    (B) Identity of the parties making and receiving the payment.
    (C) Date of the payment.
    (D) Amount of the payment.
    (E) Date and amount of any recoupment of all or a portion of a CJR-
X collaborator's gainsharing payment.
    (F) Explanation for each recoupment, such as whether the CJR-X 
collaborator received a gainsharing payment that contained funds 
derived from a CMS overpayment of a reconciliation payment or was based 
on the submission of false or fraudulent data.
    (2) The CJR-X participant must keep records of all of the 
following:
    (i) A process for determining and verifying its potential and 
current CJR-X collaborators' eligibility to participate in Medicare.
    (ii) A plan to track internal cost savings.
    (iii) Information on the accounting systems used to track internal 
cost savings.
    (iv) A description of current health information technology, 
including systems to track reconciliation payment amounts, repayment 
amounts, and internal cost savings.
    (v) A plan to track gainsharing payments and alignment payments.
    (3) The CJR-X participant must retain and provide access to, and 
require each CJR-X collaborator to retain and provide access to, the 
required documentation in accordance with Sec.  512.135.


Sec.  512.675  Distribution arrangements.

    (a) General.
    (1) An ACO, PGP, NPPGP, or TGP that is a CJR-X collaborator and has 
entered

[[Page 19791]]

into a sharing arrangement with a CJR-X participant may distribute all 
or a portion of any gainsharing payment it receives from the CJR-X 
participant only in accordance with a distribution arrangement.
    (2) All distribution arrangements must comply with the provisions 
of this section and all other applicable laws and regulations, 
including the fraud and abuse laws.
    (b) Requirements.
    (1) All distribution arrangements must be in writing and signed by 
the parties, contain the effective date of the agreement, and be 
entered into before care is furnished to CJR-X beneficiaries under the 
distribution arrangement.
    (2) Participation in a distribution arrangement must be voluntary 
and without penalty for nonparticipation.
    (3) The distribution arrangement must require the collaboration 
agent to comply with all applicable laws and regulations.
    (4) The opportunity to make or receive a distribution payment must 
not be conditioned directly or indirectly on the volume or value of 
past or anticipated referrals or business otherwise generated by, 
between or among the CJR-X participant, any CJR-X collaborator, any 
collaboration agent, any downstream collaboration agent, or any 
individual or entity affiliated with a CJR-X participant, CJR-X 
collaborator, collaboration agent, or downstream collaboration agent.
    (5) The amount of any distribution payments from an ACO, from an 
NPPGP to an NPPGP member, or from a TGP to a TGP member, must be 
determined in accordance with a methodology that is solely based on 
quality of care and the provision of CJR-X activities and that may take 
into account the amount of such CJR-X activities provided by a 
collaboration agent relative to other collaboration agents.
    (6) The amount of any distribution payments from a PGP must be 
determined in accordance with a methodology that is solely based on 
quality of care and the provision of CJR-X activities and that may take 
into account the amount of such CJR-X activities provided by a 
collaboration agent relative to other collaboration agents.
    (7) A collaboration agent is eligible to receive a distribution 
payment only if the collaboration agent furnished or billed for an item 
or service rendered to a CJR-X beneficiary during an episode that was 
attributed to the same performance year for which the CJR-X participant 
accrued the internal cost savings or earned the reconciliation payment 
amount that comprises the gainsharing payment being distributed.
    (8) With respect to the distribution of any gainsharing payment 
received by an ACO, PGP, NPPGP, or TGP, the total amount of all 
distribution payments for a performance year must not exceed the amount 
of the gainsharing payment received by the CJR-X collaborator from the 
CJR-X participant for the same performance year.
    (9) All distribution payments must be made by check, electronic 
funds transfer, or another traceable cash transaction.
    (10) The collaboration agent must retain the ability to make 
decisions in the best interests of the patient, including the selection 
of devices, supplies, and treatments.
    (11) The distribution arrangement must not do either of the 
following:
    (i) Induce the collaboration agent to reduce or limit medically 
necessary items and services to any Medicare beneficiary.
    (ii) Reward the provision of items and services that are medically 
unnecessary.
    (12) The CJR-X collaborator must maintain contemporaneous 
documentation regarding distribution arrangements in accordance with 
Sec.  512.135, including all of the following:
    (i) The relevant written agreements.
    (ii) The date and amount of any distribution payment(s).
    (iii) The identity of each collaboration agent that received a 
distribution payment.
    (iv) A description of the methodology and accounting formula for 
determining the amount of any distribution payment.
    (13) The CJR-X collaborator may not enter into a distribution 
arrangement with any individual or entity that has a sharing 
arrangement with the same CJR-X participant.
    (14) The CJR-X collaborator must retain and provide access to, and 
must require collaboration agents to retain and provide access to, the 
required documentation in accordance with Sec.  512.135.


Sec.  512.680  Downstream distribution arrangements.

    (a) General.
    (1) An ACO participant that is a PGP, NPPGP, or TGP and that has 
entered into a distribution arrangement with a CJR-X collaborator that 
is an ACO, may distribute all or a portion of any distribution payment 
it receives from the CJR-X collaborator only in accordance with a 
downstream distribution arrangement.
    (2) All downstream distribution arrangements must comply with the 
provisions of this section and all applicable laws and regulations, 
including the fraud and abuse laws.
    (b) Requirements.
    (1) All downstream distribution arrangements must be in writing and 
signed by the parties, contain the effective date of the agreement, and 
be entered into before care is furnished to CJR-X beneficiaries under 
the downstream distribution arrangement.
    (2) Participation in a downstream distribution arrangement must be 
voluntary and without penalty for nonparticipation.
    (3) The downstream distribution arrangement must require the 
downstream collaboration agent to comply with all applicable laws and 
regulations.
    (4) The opportunity to make or receive a downstream distribution 
payment must not be conditioned directly or indirectly on the volume or 
value of past or anticipated referrals or business otherwise generated 
by, between or among the CJR-X participant, any CJR-X collaborator, any 
collaboration agent, any downstream collaboration agent, or any 
individual or entity affiliated with a CJR-X participant, CJR-X 
collaborator, collaboration agent, or downstream collaboration agent.
    (5) The amount of any downstream distribution payments from an 
NPPGP to an NPPGP member or from a TGP to a TGP member must be 
determined in accordance with a methodology that is solely based on 
quality of care and the provision of CJR-X activities and that may take 
into account the amount of such CJR-X activities provided by a 
downstream collaboration agent relative to other downstream 
collaboration agents.
    (6) The amount of any downstream distribution payments from a PGP 
must be determined in accordance with a methodology that is solely 
based on quality of care and the provision of CJR-X activities and that 
may take into account the amount of such CJR-X activities provided by a 
downstream collaboration agent relative to other downstream 
collaboration agents.
    (7) A downstream collaboration agent is eligible to receive a 
downstream distribution payment only if the downstream collaboration 
agent furnished an item or service to a CJR-X beneficiary during an 
episode that is attributed to the same performance year for which the 
CJR-X participant accrued the internal cost savings or earned the 
reconciliation payment amount that comprises the gainsharing payment 
from which the ACO made the distribution payment to the PGP,

[[Page 19792]]

NPPGP, or TGP that is an ACO participant.
    (8) The total amount of all downstream distribution payments made 
to downstream collaboration agents must not exceed the amount of the 
distribution payment received by the PGP, NPPGP, or TGP from the ACO.
    (9) All downstream distribution payments must be made by check, 
electronic funds transfer, or another traceable cash transaction.
    (10) The downstream collaboration agent must retain his or her 
ability to make decisions in the best interests of the beneficiary, 
including the selection of devices, supplies, and treatments.
    (11) The downstream distribution arrangement must not do either of 
the following:
    (i) Induce the downstream collaboration agent to reduce or limit 
medically necessary services to any Medicare beneficiary.
    (ii) Reward the provision of items and services that are medically 
unnecessary.
    (12) The PGP, NPPGP, or TGP must maintain contemporaneous 
documentation regarding downstream distribution arrangements in 
accordance with Sec.  512.135, including the following:
    (i) The relevant written agreements.
    (ii) The date and amount of any downstream distribution payment.
    (iii) The identity of each downstream collaboration agent that 
received a downstream distribution payment.
    (iv) A description of the methodology and accounting formula for 
determining the amount of any downstream distribution payment.
    (13) The PGP, NPPGP, or TGP may not enter into a downstream 
distribution arrangement with any PGP member, NPPGP member, or TGP 
member who has--
    (i) A sharing arrangement with a CJR-X participant.
    (ii) A distribution arrangement with the ACO that the PGP, NPPGP, 
or TGP is a participant in.
    (14) The PGP, NPPGP, or TGP must retain and provide access to, and 
must require downstream collaboration agents to retain and provide 
access to, the required documentation in accordance with Sec.  512.135.


Sec.  512.685  CJR-X beneficiary incentives.

    (a) General. CJR-X participants may choose to provide in-kind 
patient engagement incentives including but not limited to items of 
technology to CJR-X beneficiaries in an episode, subject to the 
following conditions:
    (1) The incentive must be provided directly by the CJR-X 
participant or by an agent of the CJR-X participant under the CJR-X 
participant's direction and control to the CJR-X beneficiary during an 
episode.
    (2) The item or service provided must be reasonably connected to 
medical care provided to a CJR-X beneficiary during an episode.
    (3) The item or service must be a preventive care item or service 
or an item or service that advances a clinical goal, as listed in 
paragraph (c) of this section, for a CJR-X beneficiary in an episode by 
engaging the CJR-X beneficiary in better managing his or her own 
health.
    (4) The item or service must not be tied to the receipt of items or 
services outside the episode.
    (5) The item or service must not be tied to the receipt of items or 
services from a particular provider or supplier.
    (6) The availability of the items or services must not be 
advertised or promoted, except that a CJR-X beneficiary may be made 
aware of the availability of the items or services at the time the CJR-
X beneficiary could reasonably benefit from them.
    (7) The cost of the items or services must not be shifted to any 
federal health care program, as defined at section 1128B(f) of the Act.
    (b) Technology provided to a CJR-X beneficiary. CJR-X beneficiary 
engagement incentives involving technology are subject to the following 
additional conditions:
    (1) Items or services involving technology provided to a CJR-X 
beneficiary may not exceed $1,000 in retail value for any one CJR-X 
beneficiary during any one episode.
    (2) Items or services involving technology provided to a CJR-X 
beneficiary must be the minimum necessary to advance a clinical goal, 
as listed in paragraph (c) of this section, for a beneficiary in an 
episode.
    (3) Items of technology exceeding $75 in retail value must--
    (i) Remain the property of the CJR-X participant; and
    (ii) Be retrieved from the CJR-X beneficiary at the end of the 
episode, with documentation of the ultimate date of retrieval. The CJR-
X participant must document all retrieval attempts. In cases when the 
item of technology is not able to be retrieved, the CJR-X participant 
must determine why the item was not retrievable. If it was determined 
that the item was misappropriated (if it were sold, for example), the 
CJR-X participant must take steps to prevent future beneficiary 
incentives for that CJR-X beneficiary. Following this process, 
documented, diligent, good faith attempts to retrieve items of 
technology will be deemed to meet the retrieval requirement.
    (c) Clinical goals of CJR-X. The following are the clinical goals 
of CJR-X, which may be advanced through CJR-X beneficiary incentives:
    (1) Beneficiary adherence to drug regimens.
    (2) Beneficiary adherence to a care plan.
    (3) Reduction of readmissions and complications following an 
episode.
    (4) Management of chronic diseases and conditions that may be 
affected by the CJR-X procedure.
    (d) Documentation of CJR-X beneficiary incentives.
    (1) CJR-X participants must maintain documentation of items and 
services furnished as beneficiary incentives that exceed $25 in retail 
value.
    (2) The documentation must be established contemporaneously with 
the provision of the items and services with a record established and 
maintained to include at least the following:
    (i) The date the incentive is provided.
    (ii) The identity of the CJR-X beneficiary to whom the item or 
service was provided.
    (3) The documentation regarding items of technology exceeding $75 
in retail value must also include contemporaneous documentation of any 
attempt to retrieve technology at the end of an episode, or why the 
items were not retrievable, as described in paragraph (b)(3) of this 
section.
    (4) The CJR-X participant must retain and provide access to the 
required documentation in accordance with Sec.  512.135.


Sec.  512.690  Application of the CMS-sponsored Model Arrangements and 
Patient Incentives Safe Harbor.

    (a) Application of the CMS-sponsored model arrangements safe 
harbor. CMS has determined that the Federal anti-kickback statute safe 
harbor for CMS-sponsored model arrangements (42 CFR 1001.952(ii)(1)) is 
available to protect remuneration furnished in CJR-X in the form of the 
sharing arrangement's gainsharing payments and alignment payments that 
meet all safe harbor requirements set forth in 42 CFR 1001.952(ii) and 
Sec.  512.670, in the form of the distribution arrangement's 
distribution payments that meet all safe harbor requirements set forth 
in 42 CFR 1001.952(ii) and Sec.  512.675, and in the form of the 
downstream distribution arrangement's distribution payments that meet 
all safe harbor requirements set forth in 42 CFR 1001.952(ii) and Sec.  
512.680.
    (b) Application of the CMS-sponsored model patient incentives safe 
harbor. CMS has determined that the Federal anti-kickback statute safe 
harbor for

[[Page 19793]]

CMS-sponsored model patient incentives (42 CFR 1001.952(ii)(2)) is 
available to protect CJR-X beneficiary incentives that meet all safe 
harbor requirements set forth in 42 CFR 1001.952(ii) and 512.685

Medicare Program Waivers


Sec.  512.695  CJR-X Medicare Program Waivers.

    (a) Waiver of certain telehealth requirements.
    (1) Waiver of the geographic site requirements. Except for the 
geographic site requirements for a face-to-face encounter for home 
health certification, CMS waives the geographic site requirements of 
section 1834(m)(4)(C)(i)(I) through (III) of the Act for episodes being 
tested in CJR-X solely for services that--
    (i) May be furnished via telehealth under existing Medicare program 
requirements; and
    (ii) Are included in the episode in accordance with Sec.  
512.625(e).
    (2) Waiver of the originating site requirements. Except for the 
originating site requirements for a face-to-face encounter for home 
health certification, CMS waives the originating site requirements 
under section 1834(m)(4)(C)(ii)(I) through (X) of the Act for episodes 
to permit a telehealth visit to originate in the beneficiary's home or 
place of residence solely for services that--
    (i) May be furnished via telehealth under existing Medicare program 
requirements; and
    (ii) Are included in the episode in accordance with Sec.  
512.625(e).
    (3) Waiver of selected payment provisions.
    (i) CMS waives the payment requirements under section 1834(m)(2)(B) 
of the Act so that the facility fee normally paid by Medicare to an 
originating site for a telehealth service is not paid if the service is 
originated in the beneficiary's home or place of residence.
    (ii) CMS waives the payment requirements under section 
1834(m)(2)(A) of the Act to allow the distant site payment for 
telehealth home visit HCPCS codes unique to CJR-X.
    (4) Other requirements. All other requirements for Medicare 
coverage and payment of telehealth services continue to apply, 
including the list of specific services approved to be furnished by 
telehealth.
    (b) Waiver of the SNF 3-day rule.
    (1) Episodes initiated by an anchor hospitalization. CMS waives the 
SNF 3-day rule for coverage of a SNF stay within 90 days of the date of 
discharge from the anchor hospitalization for a beneficiary who is a 
CJR-X beneficiary on the date of discharge from the anchor 
hospitalization if the SNF is identified on the applicable calendar 
quarter list of qualified SNFs at the time of the CJR-X beneficiary's 
admission to the SNF.
    (2) Episodes initiated by an anchor procedure. CMS waives the SNF 
3-day rule for coverage of a SNF stay within 90 days of the date of 
service of the anchor procedure for a beneficiary who is a CJR-X 
beneficiary on the date of service of the anchor procedure if the SNF 
is identified on the applicable calendar quarter list of qualified SNFs 
at the time of the CJR-X beneficiary's admission to the SNF.
    (3) Determination of qualified SNFs. CMS determines the qualified 
SNFs for each calendar quarter based on a review of the most recent 
rolling 12 months of overall star ratings on the Five-Star Quality 
Rating System for SNFs on the Nursing Home Compare website.
    (i) Qualified SNFs are rated an overall of 3 stars or better for at 
least 7 of the 12 months.
    (ii) Qualified SNFs include providers furnishing SNF services under 
swing bed agreements, which will not be subject to the star ratings 
requirement.
    (4) Posting of qualified SNFs. CMS posts to the CMS website the 
list of qualified SNFs in advance of the calendar quarter.
    (5) Financial liability for non-covered SNF services. If CMS 
determines that the waiver requirements specified in paragraph (b) of 
this section were not met, the following apply:
    (i) CMS makes no payment to a SNF for SNF services if the SNF 
admits a CJR-X beneficiary who has not had a qualifying anchor 
hospitalization or anchor procedure.
    (ii) In the event that CMS makes no payment for SNF services 
furnished by a SNF as a result of paragraph (b)(5)(i) of this section, 
the beneficiary protections specified in paragraph (b)(5)(iii) of this 
section apply, unless the CJR-X participant has provided the 
beneficiary with a discharge planning notice in accordance with Sec.  
512.622(c).
    (iii) If the CJR-X participant does not provide the beneficiary 
with a discharge planning notice in accordance with Sec.  512.622(c)--
    (A) The SNF must not charge the beneficiary for the expenses 
incurred for such services;
    (B) The SNF must return to the beneficiary any monies collected for 
such services; and
    (C) The CJR-X participant is financially liable for the expenses 
incurred for such services.
    (4) If the CJR-X participant provided a discharge planning notice 
to the beneficiary in accordance with Sec.  512.622(c), then normal SNF 
coverage requirements apply and the beneficiary may be financially 
liable for non-covered SNF services.
    (6) Other requirements. All other Medicare rules for coverage and 
payment of Part A-covered services continue to apply except as 
otherwise waived in this part.
    (c) Waiver of direct supervision requirement for certain post-
discharge home visits.
    (1) General. CMS waives the requirement in Sec.  410.26(b)(5) of 
this chapter that services and supplies furnished incident to a 
physician's service must be furnished under the direct supervision of 
the physician (or other practitioner) to permit home visits as 
specified in this section. The services furnished under this waiver are 
not considered to be ``hospital services,'' even when furnished by the 
clinical staff of the hospital.
    (2) General supervision of qualified personnel. The waiver of the 
direct supervision requirement in Sec.  410.26(b)(5) of this chapter 
applies only in the following circumstances:
    (i) The home visit is furnished during the episode to a CJR-X 
beneficiary who has been discharged from an anchor hospitalization or 
anchor procedure.
    (ii) The home visit is furnished at the CJR-X beneficiary's home or 
place of residence.
    (iii) The CJR-X beneficiary does not qualify for home health 
services under sections 1835(a) and 1814(a) of the Act at the time of 
any such home visit.
    (iv) The visit is furnished by clinical staff under the general 
supervision of a physician or non-physician practitioner. Clinical 
staff are individuals who work under the supervision of a physician or 
other qualified health care professional, and who are allowed by law, 
regulation, and facility policy to perform or assist in the performance 
of a specific professional service, but do not individually report that 
professional service.
    (v) No more than 9 visits are furnished to the CJR-X beneficiary 
during the episode.
    (3) Payment. Up to 9 post-discharge home visits per CJR-X episode 
may be billed under Part B by the physician or nonphysician 
practitioner or by the CJR-X participant to which the supervising 
physician has reassigned his or her billing rights.
    (4) Other requirements. All other Medicare rules for coverage and

[[Page 19794]]

payment of services incident to a physician's service continue to 
apply.

Robert F. Kennedy, Jr.
Secretary, Department of Health and Human Services.

Addendum--Schedule of Standardized Amounts, Update Factors, Rate-of-
Increase Percentages Effective With Cost Reporting Periods Beginning on 
or After October 1, 2026, and Payment Rates for LTCHs Effective for 
Discharges Occurring on or After October 1, 2026

I. Summary and Background

    In this Addendum, we are setting forth a description of the methods 
and data we used to determine the prospective payment rates for 
Medicare hospital inpatient operating costs and Medicare hospital 
inpatient capital-related costs for FY 2027 for acute care hospitals. 
We also are setting forth the rate-of-increase percentage for updating 
the target amounts for certain hospitals excluded from the IPPS for FY 
2027. We note that, because certain hospitals excluded from the IPPS 
are paid on a reasonable cost basis subject to a rate-of-increase 
ceiling (and not by the IPPS), these hospitals are not affected by the 
figures for the standardized amounts, offsets, and budget neutrality 
factors. Therefore, in this proposed rule, we are setting forth the 
rate-of-increase percentage for updating the target amounts for certain 
hospitals excluded from the IPPS that would be effective for cost 
reporting periods beginning on or after October 1, 2026. In addition, 
we are setting forth a description of the methods and data we used to 
determine the LTCH PPS standard Federal payment rate that would be 
applicable to Medicare LTCHs for FY 2027.
    In general, except for SCHs and MDHs, for FY 2027, each hospital's 
payment per discharge under the IPPS is based on 100 percent of the 
Federal national rate, also known as the national adjusted standardized 
amount. This amount reflects the national average hospital cost per 
case from a base year, updated for inflation.
    SCHs are paid based on whichever of the following rates yields the 
greatest aggregate payment:
     The Federal national rate (including, as discussed in 
section IV.E. of the preamble of this final rule, uncompensated care 
payments under section 1886(r)(2) of the Act).
     The updated hospital-specific rate based on FY 1982 costs 
per discharge.
     The updated hospital-specific rate based on FY 1987 costs 
per discharge.
     The updated hospital-specific rate based on FY 1996 costs 
per discharge.
     The updated hospital-specific rate based on FY 2006 costs 
per discharge.
    Under section 1886(d)(5)(G) of the Act, MDHs historically were paid 
based on the Federal national rate or, if higher, the Federal national 
rate plus 50 percent of the difference between the Federal national 
rate and the updated hospital-specific rate based on FY 1982 or FY 1987 
costs per discharge, whichever was higher. However, section 5003(a)(1) 
of Public Law 109-171 extended and modified the MDH special payment 
provision that was previously set to expire on October 1, 2006, to 
include discharges occurring on or after October 1, 2006, but before 
October 1, 2011. Under section 5003(b) of Public Law 109-171, if the 
change results in an increase to an MDH's target amount, we must rebase 
an MDH's hospital specific rates based on its FY 2002 cost report. 
Section 5003(c) of Public Law 109-171 further required that MDHs be 
paid based on the Federal national rate or, if higher, the Federal 
national rate plus 75 percent of the difference between the Federal 
national rate and the updated hospital specific rate. Further, based on 
the provisions of section 5003(d) of Public Law 109-171, MDHs are no 
longer subject to the 12-percent cap on their DSH payment adjustment 
factor. Section 2202 of the Full-Year Continuing Appropriations and 
Extensions Act, 2025 extended the MDH program through FY 2025. As 
discussed in section V.F. of the preamble of this proposed rule, 
section 6202 of the Consolidated Appropriations Act, 2026 (Pub. L. 119-
75) extended the MDH program for FY 2027 discharges occurring before 
January 1, 2027. Therefore, under current law, the MDH program will 
expire for discharges on or after January 1, 2027. We refer readers to 
section V.F. of the preamble of this proposed rule for further 
discussion of the MDH program.
    As discussed in section V.B.2. of the preamble of this proposed 
rule, section 1886(n)(6)(B) of the Act was amended to specify that the 
adjustments to the applicable percentage increase under section 
1886(b)(3)(B)(ix) of the Act apply to subsection (d) Puerto Rico 
hospitals that are not meaningful EHR users, effective beginning FY 
2022. In general, Puerto Rico hospitals are paid 100 percent of the 
national standardized amount and are subject to the same national 
standardized amount as subsection (d) hospitals that receive the full 
update. Accordingly, our discussion later in this section does not 
include references to the Puerto Rico standardized amount or the Puerto 
Rico-specific wage index.
    As discussed in section II. of this Addendum, we are proposing to 
make changes in the determination of the prospective payment rates for 
Medicare inpatient operating costs for acute care hospitals for FY 
2027. In section III. of this Addendum, we discuss our proposed policy 
changes for determining the prospective payment rates for Medicare 
inpatient capital-related costs for FY 2027. In section IV. of this 
Addendum, we are setting forth the rate-of-increase percentage for 
determining the rate-of-increase limits for certain hospitals excluded 
from the IPPS for FY 2027. In section V. of this Addendum, we discuss 
proposed policy changes for determining the LTCH PPS standard Federal 
rate for LTCHs paid under the LTCH PPS for FY 2027. The tables to which 
we refer in the preamble of this proposed rule are listed in section 
VI. of this Addendum and are available via the internet on the CMS 
website.

II. Proposed Changes to Prospective Payment Rates for Hospital 
Inpatient Operating Costs for Acute Care Hospitals for FY 2027

    The basic methodology for determining prospective payment rates for 
hospital inpatient operating costs for acute care hospitals for FY 2005 
and subsequent fiscal years is set forth under Sec.  412.64. The basic 
methodology for determining the prospective payment rates for hospital 
inpatient operating costs for hospitals located in Puerto Rico for FY 
2005 and subsequent fiscal years is set forth under Sec. Sec.  412.211 
and 412.212. In this section, we discuss the factors we are proposing 
to use for determining the prospective payment rates for FY 2027.
    In summary, the proposed standardized amounts set forth in Tables 
1A, 1B, and 1C that are listed and published in section VI. of this 
Addendum (and available via the internet on the CMS website) reflect--
     Equalization of the standardized amounts for urban and 
other areas at the level computed for large urban hospitals during FY 
2004 and onward, as provided for under section 1886(d)(3)(A)(iv)(II) of 
the Act.
     The labor-related share that is applied to the 
standardized amounts to give the hospital the highest payment, as 
provided for under sections 1886(d)(3)(E) and 1886(d)(9)(C)(iv) of the 
Act. For FY 2027, depending on whether a hospital submits quality data 
under the rules established in accordance with section 
1886(b)(3)(B)(viii) of the Act (hereafter referred to as a hospital 
that submits quality data) and is a meaningful EHR

[[Page 19795]]

user under section 1886(b)(3)(B)(ix) of the Act (hereafter referred to 
as a hospital that is a meaningful EHR user), there are four possible 
applicable percentage increases that can be applied to the national 
standardized amount.
    We refer readers to section VI.B. of the preamble of this proposed 
rule for a complete discussion on the FY 2027 inpatient hospital 
update. The table that follows shows these four scenarios:
[GRAPHIC] [TIFF OMITTED] TP14AP26.231

    We note that section 1886(b)(3)(B)(viii) of the Act, which 
specifies the adjustment to the applicable percentage increase for 
``subsection (d)'' hospitals that do not submit quality data under the 
rules established by the Secretary, is not applicable to hospitals 
located in Puerto Rico. In addition, section 602 of Public Law 114-113 
amended section 1886(n)(6)(B) of the Act to specify that Puerto Rico 
hospitals are eligible for incentive payments for the meaningful use of 
certified EHR technology, effective beginning FY 2016, and also to 
apply the adjustments to the applicable percentage increase under 
section 1886(b)(3)(B)(ix) of the Act to subsection (d) Puerto Rico 
hospitals that are not meaningful EHR users, effective beginning FY 
2022. Accordingly, the applicable percentage increase for subsection 
(d) Puerto Rico hospitals that are not meaningful EHR users for FY 2027 
and subsequent fiscal years is adjusted by the proposed adjustment for 
failure to be a meaningful EHR user under section 1886(b)(3)(B)(ix) of 
the Act. The regulations at 42 CFR 412.64(d)(3)(ii) reflect the current 
law for the update for subsection (d) Puerto Rico hospitals for FY 2022 
and subsequent fiscal years.
     An adjustment to the standardized amount to ensure budget 
neutrality for DRG recalibration and reclassification, as provided for 
under section 1886(d)(4)(C)(iii) of the Act.
     An adjustment to the standardized amount to ensure budget 
neutrality for the permanent 10-percent cap on the reduction in a MS-
DRG's relative weight in a given fiscal year, as discussed in section 
II.D.2.c. of the preamble of this proposed rule, consistent with our 
current methodology for implementing DRG recalibration and 
reclassification budget neutrality under section 1886(d)(4)(C)(iii) of 
the Act.
     An adjustment to ensure the wage index and labor-related 
share changes (depending on the fiscal year) are budget neutral, as 
provided for under section 1886(d)(3)(E)(i) of the Act (as discussed in 
the FY 2006 IPPS final rule (70 FR 47395) and the FY 2010 IPPS final 
rule (74 FR 44005)). We note that section 1886(d)(3)(E)(i) of the Act 
requires that when we compute such budget neutrality, we assume that 
the provisions of section 1886(d)(3)(E)(ii) of the Act (requiring a 62-
percent labor-related share in certain circumstances) had not been 
enacted.
     An adjustment to ensure the effects of geographic 
reclassification are budget neutral, as provided for under section 
1886(d)(8)(D) of the Act, by removing the FY 2026 budget neutrality 
factor and applying a revised factor.
     An adjustment to the standardized amount to implement in a 
budget neutral manner the wage index cap policy (as described in 
section III.G.5 of the preamble of this proposed rule).
     Using our authority under section 1886(d)(5)(I)(i) of the 
Act, an adjustment to the standardized amount to implement in a budget 
neutral manner the transition for the discontinuation of the low wage 
index hospital policy (as described in section III.F.6 of the preamble 
of this proposed rule).
     An adjustment to remove the FY 2026 outlier offset and 
apply an offset for FY 2027, as provided for in section 1886(d)(3)(B) 
of the Act.
    We note, in section VI.N. of the preamble of this proposed rule, we 
discuss the Rural Community Hospital Demonstration (RCHD) program. In 
past years, we made an adjustment to ensure the effects of the RCHD 
program are budget neutral as required under section 410A(c)(2) of 
Public Law 108-173. As discussed in that section, as we are not yet 
able to finalize the FY 2027 estimated costs of the demonstration at 
this time, we are not proposing to apply a budget neutrality offset in 
this FY 2027 IPPS/LTCH PPS proposed rule. Rather, we are proposing to 
apply budget neutrality offsets for both FY 2027 and FY 2028 to the 
national IPPS rates in the FY 2028 IPPS/LTCH PPS rulemaking. We would 
also incorporate any statutory change that might affect the methodology 
for determining hospital costs either with or without the 
demonstration. We refer the reader to section VI.N. of the preamble of 
this proposed rule for complete details on this proposal.
    For FY 2027, consistent with current law, we are proposing to apply 
the rural floor budget neutrality adjustment to hospital wage indexes. 
Also, consistent with section 3141 of the Affordable Care Act, instead 
of applying a State-level rural floor budget neutrality adjustment to 
the wage index, we are proposing to apply a uniform, national budget 
neutrality adjustment to the FY 2027 wage index for the rural floor.

[[Page 19796]]

    For FY 2027, we are proposing to continue to not remove the Stem 
Cell Acquisition Budget Neutrality Factor from the prior year's 
standardized amount and to not apply a new factor. If we removed the 
prior year's adjustment, we would not satisfy budget neutrality. We 
believe this approach ensures the effects of the reasonable cost-based 
payment for allogeneic hematopoietic stem cell acquisition costs under 
section 108 of the Further Consolidated Appropriations Act, 2020 (Pub. 
L. 116-94) are budget neutral as required under section 108 of Public 
Law 116-94. For a discussion of Stem Cell Acquisition Budget Neutrality 
Factor, we refer the reader to the FY 2021 IPPS/LTCH PPS final rule (85 
FR 59032 and 59033).

A. Calculation of the Proposed Adjusted Standardized Amount

1. Standardization of Base-Year Costs or Target Amounts
    In general, the national standardized amount is based on per 
discharge averages of adjusted hospital costs from a base period 
(section 1886(d)(2)(A) of the Act), updated and otherwise adjusted in 
accordance with the provisions of section 1886(d) of the Act. The 
September 1, 1983, interim final rule (48 FR 39763) contained a 
detailed explanation of how base-year cost data (from cost reporting 
periods ending during FY 1981) were established for urban and rural 
hospitals in the initial development of standardized amounts for the 
IPPS.
    Sections 1886(d)(2)(B) and 1886(d)(2)(C) of the Act require us to 
update base-year per discharge costs for FY 1984 and then standardize 
the cost data in order to remove the effects of certain sources of cost 
variations among hospitals. These effects include case-mix, differences 
in area wage levels, cost-of-living adjustments for Alaska and Hawaii, 
IME costs, and costs to hospitals serving a disproportionate share of 
low-income patients.
    For FY 2027, we are proposing to continue to use the national 
labor-related and nonlabor-related shares (which are based on the 2023-
based hospital IPPS market basket) that were used in FY 2026. 
Specifically, under section 1886(d)(3)(E) of the Act, the Secretary 
estimates, from time to time, the proportion of payments that are 
labor-related and adjusts the proportion (as estimated by the Secretary 
from time to time) of hospitals' costs which are attributable to wages 
and wage-related costs of the DRG prospective payment rates. We refer 
to the proportion of hospitals' costs that are attributable to wages 
and wage-related costs as the ``labor-related share.'' For FY 2027, as 
discussed in section III.H. of the preamble of this proposed rule, we 
are proposing to use a labor-related share of 66.0 percent for the 
national standardized amounts for all IPPS hospitals (including 
hospitals in Puerto Rico) that have a wage index value that is greater 
than 1.0000. Consistent with section 1886(d)(3)(E) of the Act, we are 
proposing to apply the wage index to a labor-related share of 62 
percent of the national standardized amount for all IPPS hospitals 
(including hospitals in Puerto Rico) whose wage index values are less 
than or equal to 1.0000.
    The proposed standardized amounts for operating costs appear in 
Tables 1A, 1B, and 1C that are listed and published in section VI. of 
the Addendum to this proposed rule and are available via the internet 
on the CMS website.
2. Computing the National Average Standardized Amount
    Section 1886(d)(3)(A)(iv)(II) of the Act requires that, beginning 
with FY 2004 and thereafter, an equal standardized amount be computed 
for all hospitals at the level computed for large urban hospitals 
during FY 2003, updated by the applicable percentage increase. 
Accordingly, we are proposing to calculate the FY 2027 national average 
standardized amount irrespective of whether a hospital is located in an 
urban or rural location.
3. Updating the National Average Standardized Amount
    Section 1886(b)(3)(B) of the Act specifies the applicable 
percentage increase used to update the standardized amount for payment 
for inpatient hospital operating costs. We note that, in compliance 
with section 404 of the MMA, we are proposing to use the 2023-based 
IPPS operating and capital market baskets for FY 2027. As discussed in 
section VI.B. of the preamble of this proposed rule, in accordance with 
section 1886(b)(3)(B) of the Act, as amended by section 3401(a) of the 
Affordable Care Act, we are proposing to reduce the FY 2027 applicable 
percentage increase (which for this proposed rule is based on IGI's 
fourth quarter 2025 forecast of the 2023-based IPPS market basket) by 
the productivity adjustment, as discussed elsewhere in this proposed 
rule.
    Based on IGI's fourth quarter 2025 forecast of the IPPS hospital 
market basket percentage increase (as discussed in appendix B of this 
proposed rule), the forecast of the hospital market basket percentage 
increase for FY 2027 for this proposed rule is 3.2 percent and the 
forecast of the productivity adjustment for FY 2027 for this proposed 
rule is 0.8 percentage point. As discussed earlier, for FY 2027, 
depending on whether a hospital submits quality data under the rules 
established in accordance with section 1886(b)(3)(B)(viii) of the Act 
and is a meaningful EHR user under section 1886(b)(3)(B)(ix) of the 
Act, there are four possible applicable percentage increases that can 
be applied to the standardized amount. We refer readers to section 
VI.B. of the preamble of this proposed rule for a complete discussion 
on the proposed FY 2027 inpatient hospital update to the standardized 
amount. We also refer readers to the previous table for the four 
possible applicable percentage increases that would be applied to 
update the national standardized amounts. The proposed standardized 
amounts shown in Tables 1A through 1C that are published in section VI. 
of this Addendum and that are available via the internet on the CMS 
website reflect these differential amounts.
    Although the update factors for FY 2027 are set by law, we are 
required by section 1886(e)(4) of the Act to recommend, taking into 
account MedPAC's recommendations, appropriate update factors for FY 
2027 for both IPPS hospitals and hospitals and hospital units excluded 
from the IPPS. Section 1886(e)(5)(A) of the Act requires that we 
publish our recommendations in the Federal Register for public comment. 
Our recommendation on the proposed FY 2027 update factors is set forth 
in appendix B of this proposed rule.
4. Methodology for Calculation of the Average Standardized Amount
    The methodology we used to calculate the proposed FY 2027 
standardized amount is as follows:
     To ensure we are only including hospitals paid under the 
IPPS in the calculation of the standardized amount, we applied the 
following inclusion and exclusion criteria: include hospitals whose 
last four digits fall between 0001 and 0879 (section 2779A1 of Chapter 
2 of the State Operations Manual on the CMS website at: https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/som107c02.pdf); exclude CAHs and Rural Emergency Hospitals (REHs) at 
the time of this proposed rule (we finalized to remove REHs in the 
calculation of the standardized amount in the FY 2025 IPPS/LTCH final 
rule (89 FR 69941-69942); exclude hospitals in Maryland (because these 
hospitals are paid under an all payer model under section 1115A of the 
Act); and remove PPS excluded-

[[Page 19797]]

cancer hospitals that have a ``V'' in the fifth position of their 
provider number or a ``E'' or ``F'' in the sixth position.
     As in the past, we are proposing to adjust the FY 2027 
standardized amount to remove the effects of the FY 2027 geographic 
reclassifications and outlier payments before applying the FY 2027 
updates. We then applied budget neutrality offsets for outliers and 
geographic reclassifications to the standardized amount based on 
proposed FY 2027 payment policies.
     We do not remove the prior year's budget neutrality 
adjustments for reclassification and recalibration of the DRG relative 
weights and for updated wage data because, in accordance with sections 
1886(d)(4)(C)(iii) and 1886(d)(3)(E) of the Act, estimated aggregate 
payments after updates in the DRG relative weights and wage index 
should equal estimated aggregate payments prior to the changes. If we 
removed the prior year's adjustment, we would not satisfy these 
conditions.
    Budget neutrality is determined by comparing aggregate IPPS 
payments before and after making changes that are required to be budget 
neutral (for example, changes to MS-DRG classifications, recalibration 
of the MS-DRG relative weights, updates to the wage index, and 
different geographic reclassifications). We include outlier payments in 
the simulations because they may be affected by changes in these 
parameters.
     Consistent with our methodology established in the FY 2011 
IPPS/LTCH PPS final rule (75 FR 50422 through 50433), because IME 
Medicare Advantage payments are made to IPPS hospitals under section 
1886(d) of the Act, we believe these payments must be part of these 
budget neutrality calculations. However, we note that it is not 
necessary to include Medicare Advantage IME payments in the outlier 
threshold calculation or the outlier offset to the standardized amount 
because the statute requires that outlier payments be not less than 5 
percent nor more than 6 percent of total ``operating DRG payments,'' 
which does not include IME and DSH payments. We refer readers to the FY 
2011 IPPS/LTCH PPS final rule for a complete discussion on our 
methodology of identifying and adding the total Medicare Advantage IME 
payment amount to the budget neutrality adjustments.
     Consistent with the methodology in the FY 2012 IPPS/LTCH 
PPS final rule, in order to ensure that we capture only fee-for-service 
claims, we are only including claims with a ``Claim Type'' of 60 (which 
is a field on the MedPAR file that indicates a claim is an FFS claim).
     Consistent with our methodology established in the FY 2017 
IPPS/LTCH PPS final rule (81 FR 57277), in order to further ensure that 
we capture only FFS claims, we are excluding claims with a ``GHOPAID'' 
indicator of 1 (which is a field on the MedPAR file that indicates a 
claim is not an FFS claim and is paid by a Group Health Organization).
     Consistent with our methodology established in the FY 2011 
IPPS/LTCH PPS final rule (75 FR 50422 through 50423), we examine the 
MedPAR file and remove pharmacy charges for anti-hemophilic blood 
factor (which are paid separately under the IPPS) with an indicator of 
``3'' for blood clotting with a revenue code of ``0636'' from the 
covered charge field for the budget neutrality adjustments. We are 
removing organ acquisition charges, except for cases that group to MS-
DRG 018, from the covered charge field for the budget neutrality 
adjustments because organ acquisition is a pass-through payment not 
paid under the IPPS. Revenue centers 081X-089X are typically excluded 
from ratesetting, however, we are not removing revenue center 891 
charges from MS-DRG 018 claims during ratesetting because those revenue 
891 charges were included in the relative weight calculation for MS-DRG 
018, which is consistent with the policy finalized in the FY 2021 final 
rule (85 FR 58600). We note that a new MedPAR variable for revenue code 
891 charges was introduced in April 2020.
     For FY 2027, we are continuing to remove allogeneic 
hematopoietic stem cell acquisition charges from the covered charge 
field for budget neutrality adjustments. As discussed in the FY 2021 
IPPS/LTCH PPS final rule, payment for allogeneic hematopoietic stem 
cell acquisition costs is made on a reasonable cost basis for cost 
reporting periods beginning on or after October 1, 2020 (85 FR 58835 
through 58842).
     Consistent with our methodology established in the FY 2013 
IPPS/LTCH PPS final rule (77 FR 53687 through 53688), we believe that 
it is appropriate to include adjustments for the Hospital Readmissions 
Reduction Program and the Hospital VBP Program (established under the 
Affordable Care Act) within our budget neutrality calculations.
    Both the hospital readmissions payment adjustment (reduction) and 
the hospital VBP payment adjustment (redistribution) are applied on a 
claim-by-claim basis by adjusting, as applicable, the base-operating 
DRG payment amount for individual subsection (d) hospitals, which 
affects the overall sum of aggregate payments on each side of the 
comparison within the budget neutrality calculations.
    In order to properly determine aggregate payments on each side of 
the comparison, consistent with the approach we have taken in prior 
years, for FY 2027, we are proposing to continue to apply a proxy based 
on the prior fiscal year hospital readmissions payment adjustment and a 
proxy based on the prior fiscal year hospital VBP payment adjustment on 
each side of the comparison, consistent with the methodology that we 
adopted in the FY 2013 IPPS/LTCH PPS final rule (77 FR 53687 through 
53688). Under this proposed policy for FY 2027, we used the final FY 
2026 readmissions adjustment factors from Table 15 of the FY 2026 IPPS/
LTCH PPS final rule and the final FY 2026 hospital VBP adjustment 
factors from Table 16B of the FY 2026 IPPS/LTCH PPS final rule. These 
proxy factors are applied on both sides of our comparison of aggregate 
payments when determining all budget neutrality factors described in 
section II.A.4. of this Addendum. We refer the reader to section V.K. 
of the preamble of this proposed rule for a complete discussion on the 
Hospital Readmissions Reduction Program and section V.L. of the 
preamble of this proposed rule for a complete discussion on the 
Hospital VBP Program.
     The Affordable Care Act also established section 1886(r) 
of the Act, which modifies the methodology for computing the Medicare 
DSH payment adjustment beginning in FY 2014. Beginning in FY 2014, IPPS 
hospitals receiving Medicare DSH payment adjustments receive an 
empirically justified Medicare DSH payment equal to 25 percent of the 
amount that would previously have been received under the statutory 
formula set forth under section 1886(d)(5)(F) of the Act governing the 
Medicare DSH payment adjustment. In accordance with section 1886(r)(2) 
of the Act, the remaining amount, equal to an estimate of 75 percent of 
what otherwise would have been paid as Medicare DSH payments, reduced 
to reflect changes in the percentage of individuals who are uninsured 
and any additional statutory adjustment, is available to make 
additional payments to Medicare DSH hospitals based on their share of 
the total amount of uncompensated care reported by Medicare DSH 
hospitals for a given time period. In order to properly determine 
aggregate payments on each side of the comparison for budget 
neutrality, prior to FY 2014, we included estimated Medicare DSH 
payments on both sides of our comparison of aggregate

[[Page 19798]]

payments when determining all budget neutrality factors described in 
section II.A.4. of this Addendum.
    Consistent with prior fiscal years, we are proposing to include the 
estimated empirically justified Medicare DSH payments that would be 
paid in accordance with section 1886(r)(1) of the Act and estimates of 
the additional uncompensated care payments made to hospitals receiving 
Medicare DSH payment adjustments as described by section 1886(r)(2) of 
the Act. That is, we are proposing to consider estimated empirically 
justified Medicare DSH payments at 25 percent of what would otherwise 
have been paid, and also the estimated additional uncompensated care 
payments for hospitals receiving Medicare DSH payment adjustments on 
both sides of our comparison of aggregate payments when determining all 
budget neutrality factors described in section II.A.4. of this 
Addendum.
    We also are including the estimated supplemental payments for 
eligible IHS/Tribal hospitals and Puerto Rico hospitals on both sides 
of our comparison of aggregate payments when determining all budget 
neutrality factors described in section II.A.4. of this Addendum.
     When calculating total payments for budget neutrality, to 
determine total payments for SCHs, we model total hospital-specific 
rate payments and total Federal rate payments and then include 
whichever one of the total payments is greater. As discussed in section 
IV.G. of the preamble to this proposed rule and later in this section, 
we are proposing to continue to use the FY 2014 finalized methodology 
under which we take into consideration uncompensated care payments in 
the comparison of payments under the Federal rate and the hospital-
specific rate for SCHs. Therefore, we are proposing to include 
estimated uncompensated care payments in this comparison.
    As discussed elsewhere in this proposed rule, section 6202 of the 
Consolidated Appropriations Act, 2026 (Pub. L. 119-75) extended the MDH 
program for FY 2027 discharges occurring before January 1, 2027. 
Therefore, under current law, the MDH program will expire for 
discharges on or after January 1, 2027. For this proposed rule, 
approximately 80 hospitals would receive additional payments under the 
MDH program for the first quarter of FY 2027. Given the limited 
magnitude, we are proposing not to include this extension in the total 
payments for budget neutrality. Therefore, for purposes of this 
proposed rule's calculations, we computed payments under the Federal 
national rate (not including 75 percent of the difference between the 
payments under the Federal national rate and the payments under the 
updated hospital-specific rate as applicable) for the total payments 
for these hospitals in the budget neutrality calculations discussed in 
this section and we accounted for uncompensated care payments in the 
computation of total payments under the Federal rate.
     We are proposing to include an adjustment to the 
standardized amount for those hospitals that are not meaningful EHR 
users in our modeling of aggregate payments for budget neutrality for 
FY 2027. Similar to FY 2026, we are including this adjustment based on 
data on the prior year's performance. Payments for hospitals would be 
estimated based on the applicable standardized amount in Tables 1A and 
1B for discharges occurring in FY 2027.
     In our determination of all budget neutrality factors 
described in section II.A.4. of this Addendum, we used transfer-
adjusted discharges.
    We note, in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49414 
through 49415), we finalized a change to the ordering of the budget 
neutrality factors in the calculation so that the RCH Demonstration 
budget neutrality factor (if applicable to the fiscal year) is applied 
after all wage index and other budget neutrality factors. We refer the 
reader to the FY 2023 IPPS/LTCH PPS final rule for further discussion.
a. Proposed Reclassification and Recalibration of MS-DRG Relative 
Weights Before Cap
    Section 1886(d)(4)(C)(iii) of the Act specifies that, beginning in 
FY 1991, the annual DRG reclassification and recalibration of the 
relative weights must be made in a manner that ensures that aggregate 
payments to hospitals are not affected. As discussed in section II.D. 
of the preamble of this proposed rule, we normalized the recalibrated 
MS-DRG relative weights by an adjustment factor so that the average 
case relative weight after recalibration is equal to the average case 
relative weight prior to recalibration. However, equating the average 
case relative weight after recalibration to the average case relative 
weight before recalibration does not necessarily achieve budget 
neutrality with respect to aggregate payments to hospitals because 
payments to hospitals are affected by factors other than average case 
relative weight. Therefore, as we have done in past years, we are 
proposing to make a budget neutrality adjustment to ensure that the 
requirement of section 1886(d)(4)(C)(iii) of the Act is met.
    For this FY 2027 proposed rule, to comply with the requirement that 
MS-DRG reclassification and recalibration of the relative weights be 
budget neutral for the standardized amount and the hospital-specific 
rates, we used FY 2025 discharge data to simulate payments and compared 
the following:
     Aggregate payments using the FY 2026 labor-related share 
percentages, the FY 2026 relative weights, and the FY 2026 pre-
reclassified wage data, and applied the proxy hospital readmissions 
payment adjustments and proxy hospital VBP payment adjustments (as 
described previously); and
     Aggregate payments using the FY 2026 labor-related share 
percentages, the proposed FY 2027 relative weights before applying the 
10-percent cap, and the FY 2026 pre-reclassified wage data, and applied 
the same proxy hospital readmissions payment adjustments and proxy 
hospital VBP payment adjustments applied previously.
    Because this payment simulation uses the proposed FY 2027 relative 
weights (before applying the 10-percent cap), consistent with our 
policy in section V.I. of the preamble to this proposed rule, we are 
applying the adjustor for certain cases that group to MS-DRG 018 in our 
simulation of these payments. We note that because the simulations of 
payments for all of the budget neutrality factors discussed in this 
section also use the FY 2027 relative weights, we are proposing to 
apply the adjustor for certain MS-DRG 018 (Chimeric Antigen Receptor 
(CAR) T-cell and other immunotherapies) cases in all simulations of 
payments for the budget neutrality factors discussed later in this 
section. We refer the reader to section V.I. of the preamble of this 
proposed rule for a complete discussion on the proposed adjustor for 
certain cases that group to MS-DRG 018 and to section II.D.2.b. of the 
preamble of this proposed rule, for a complete discussion of the 
proposed adjustment to the FY 2027 relative weights to account for 
certain cases that group to MS-DRG 018.
    Based on this comparison, we computed a proposed budget neutrality 
adjustment factor and applied this factor to the standardized amount. 
As discussed in section IV. of this Addendum, we are proposing to apply 
the MS-DRG reclassification and recalibration budget neutrality factor 
to the hospital-specific rates that are effective for cost reporting 
periods beginning on or after October 1, 2026. Please see the table 
later in this section setting forth each of the proposed FY 2027 budget 
neutrality factors.

[[Page 19799]]

b. Proposed Budget Neutrality Adjustment for Reclassification and 
Recalibration of MS-DRG Relative Weights With Cap
    As discussed in section II.D.2.c. of the preamble of this proposed 
rule, in the FY 2023 IPPS/LTCH PPS final rule (87 FR 48897 through 
48900), we finalized a permanent 10-percent cap on the reduction in an 
MS-DRG's relative weight in a given fiscal year, beginning in FY 2023. 
As also discussed in section II.D.2.c. of the preamble of this proposed 
rule, and consistent with our current methodology for implementing 
budget neutrality for MS-DRG reclassification and recalibration of the 
relative weights under section 1886(d)(4)(C)(iii) of the Act, we apply 
a budget neutrality adjustment to the standardized amount for all 
hospitals so that this 10-percent cap on relative weight reductions 
does not increase estimated aggregate Medicare payments beyond the 
payments that would be made had we never applied this cap. We refer the 
reader to the FY 2023 IPPS/LTCH PPS final rule for further discussion.
    To calculate this proposed budget neutrality adjustment factor for 
FY 2027, we used FY 2025 discharge data to simulate payments and 
compared the following:
     Aggregate payments using the FY 2026 labor-related share 
percentages, the proposed FY 2027 relative weights before applying the 
10-percent cap, and the FY 2026 pre-reclassified wage data, and applied 
the proxy hospital readmissions payment adjustments and the proxy 
hospital VBP payment adjustments (as described previously); and
     Aggregate payments using the FY 2026 labor-related share 
percentages, the proposed FY 2027 relative weights after applying the 
10-percent cap, and the FY 2026 pre-reclassified wage data, and applied 
the same proxy FY 2027 hospital readmissions payment adjustments and 
proxy FY 2027 hospital VBP payment adjustments applied previously.
    Because this payment simulation uses the proposed FY 2027 relative 
weights, consistent with our proposal in section V.I. of the preamble 
to this proposed rule and our historical policy, and as discussed in 
the preceding section, we applied the proposed adjustor for certain 
cases that group to MS-DRG 018 in our simulation of these payments.
    In addition, we applied the proposed MS-DRG reclassification and 
recalibration budget neutrality adjustment factor before the cap 
(derived in the first step) to the payment rates that were used to 
simulate payments for this comparison of aggregate payments from FY 
2026 to FY 2027. Based on this comparison, we computed a proposed 
budget neutrality adjustment factor and applied this factor to the 
standardized amount. As discussed in section IV. of this Addendum, as 
we are proposing to apply this budget neutrality factor to the 
hospital-specific rates that are effective for cost reporting periods 
beginning on or after October 1, 2026. Please see the table later in 
this section setting forth each of the proposed FY 2027 budget 
neutrality factors.
c. Updated Wage Index--Proposed Budget Neutrality Adjustment
    Section 1886(d)(3)(E)(i) of the Act requires us to update the 
hospital wage index on an annual basis beginning October 1, 1993. This 
provision also requires us to make any updates or adjustments to the 
wage index in a manner that ensures that aggregate payments to 
hospitals are not affected by the change in the wage index, or budget 
neutral.
    Section 1886(d)(3)(E)(i) of the Act directs the Secretary to 
estimate from time to time the proportion of hospital costs that are 
labor-related and to adjust the proportion (as estimated by the 
Secretary from time to time) of hospitals' costs that are attributable 
to wages and wage-related costs of the diagnosis related group (DRG) 
prospective payment rates. We refer to the portion of hospital costs 
attributable to wages and wage-related costs as the labor-related 
share. In the FY 2026 IPPS/LTCH PPS final rule (90 FR 36869 through 
36873), we finalized a labor-related share of 66.0 percent for 
discharges occurring on or after October 1, 2025. For FY 2027, we are 
proposing to continue to use a labor-related share of 66.0 percent for 
discharges occurring on or after October 1, 2026. Section 
1886(d)(3)(E)(ii) of the Act provides that the Secretary must employ 62 
percent as the labor-related share unless this would result in lower 
payments to a hospital than would otherwise be made. Thus, hospitals 
receive payment based on either a 62-percent labor-related share, or 
the labor-related share estimated from time to time by the Secretary, 
depending on which labor-related share results in a higher payment. (We 
refer the reader to section III.H of the preamble of this proposed rule 
for a complete discussion about the labor-related share).
    As discussed in section III.H of the preamble of this proposed 
rule, for FY 2027, for all IPPS hospitals (including Puerto Rico 
hospitals) whose wage indexes are less than or equal to 1.0000, we are 
proposing to apply the wage index to a labor-related share of 62 
percent of the national standardized amount. For all IPPS hospitals 
(including Puerto Rico hospitals) whose wage indexes are greater than 
1.000, for FY 2027, we are proposing to apply the wage index to a 
labor-related share of 66.0 percent of the national standardized 
amount.
    Section 1886(d)(3)(E)(i) of the Act provides that the Secretary 
shall calculate the budget neutrality adjustment for the adjustments or 
updates made under that provision as if section 1886(d)(3)(E)(ii) of 
the Act (among other provisions) had not been enacted. In other words, 
this section of the statute requires that we implement the updates to 
the wage index in a budget neutral manner, but that our budget 
neutrality adjustment should not take into account the requirement that 
we set the labor-related share for hospitals with wage indexes less 
than or equal to 1.0000 at the more advantageous level of 62 percent. 
Therefore, for purposes of this budget neutrality adjustment, section 
1886(d)(3)(E)(i) of the Act prohibits us from taking into account the 
fact that hospitals with a wage index less than or equal to 1.0000 are 
paid using a labor-related share of 62 percent.
    Section 1886(d)(3)(E)(i) of the Act provides for the collection of 
data at least every 3 years on the occupational mix of employees for 
each short-term, acute care hospital participating in the Medicare 
program, to construct an occupational mix adjustment to the wage index. 
Consistent with current policy, for FY 2027, we are proposing to adjust 
100 percent of the wage index factor for occupational mix. We describe 
the occupational mix adjustment in section III.D of the preamble of 
this proposed rule.
    To compute a proposed budget neutrality adjustment factor for wage 
index and labor-related share percentage changes, we used FY 2025 
discharge data to simulate payments and compared the following:
     Aggregate payments using the proposed FY 2027 relative 
weights and the FY 2026 pre-reclassified wage indexes, applied the FY 
2026 labor-related share of 66.0 percent to all hospitals (regardless 
of whether the hospital's wage index was above or below 1.0000), and 
applied the proxy hospital readmissions payment adjustment and the 
proxy hospital VBP payment adjustment (as described previously).
     Aggregate payments using the proposed FY 2027 relative 
weights and

[[Page 19800]]

the proposed FY 2027 pre-reclassified wage indexes, applied the 
proposed labor-related share for FY 2027 of 66.0 percent to all 
hospitals (regardless of whether the hospital's wage index was above or 
below 1.0000), and applied the same proxy FY 2027 hospital readmissions 
payment adjustments and proxy FY 2027 hospital VBP payment adjustments 
applied previously.
    In addition, we applied the proposed MS-DRG reclassification and 
recalibration budget neutrality adjustment factor before the proposed 
cap (derived in the first step) and the 10-percent cap on relative 
weight reductions adjustment factor (derived from the second step) to 
the payment rates that were used to simulate payments for this 
comparison of aggregate payments from FY 2026 to FY 2027. Based on this 
comparison, we computed a proposed budget neutrality adjustment factor 
and applied this factor to the standardized amount for changes to the 
wage index. Please see the table later in this section for a summary of 
the proposed FY 2027 budget neutrality factors.
d. Reclassified Hospitals--Budget Neutrality Adjustment
    Section 1886(d)(8)(B) of the Act provides that certain rural 
hospitals are deemed urban. In addition, section 1886(d)(10) of the Act 
provides for the reclassification of hospitals based on determinations 
by the MGCRB. Under section 1886(d)(10) of the Act, a hospital may be 
reclassified for purposes of the wage index.
    Under section 1886(d)(8)(D) of the Act, the Secretary is required 
to adjust the standardized amount to ensure that aggregate payments 
under the IPPS after implementation of the provisions of sections 
1886(d)(8)(B) and (C) and 1886(d)(10) of the Act are equal to the 
aggregate prospective payments that would have been made absent these 
provisions. We note, in the FY 2024 IPPS/LTCH final rule (88 FR 58971 
through 58977), we finalized a policy beginning with FY 2025 to include 
hospitals with Sec.  412.103 reclassification along with geographically 
rural hospitals in all rural wage index calculations, and only exclude 
``dual reclass'' hospitals (hospitals with simultaneous Sec.  412.103 
and MGCRB reclassifications) in accordance with the hold harmless 
provision at section 1886(d)(8)(C)(ii) of the Act. Consistent with the 
previous policy, beginning with FY 2024, we include the data of all 
Sec.  412.103 hospitals (including those that have an MGCRB 
reclassification) in the calculation of ``the wage index for rural 
areas in the State in which the county is located'' as referred to in 
section 1886(d)(8)(C)(iii) of the Act.
    We refer the reader to the FY 2015 IPPS final rule (79 FR 50371 and 
50372) for a complete discussion regarding the requirement of section 
1886(d)(8)(C)(iii) of the Act. We further note that the wage index 
adjustments provided for under section 1886(d)(13) of the Act are not 
budget neutral. Section 1886(d)(13)(H) of the Act provides that any 
increase in a wage index under section 1886(d)(13) of the Act shall not 
be taken into account in applying any budget neutrality adjustment with 
respect to such index under section 1886(d)(8)(D) of the Act. To 
calculate the proposed budget neutrality adjustment factor for FY 2027, 
we used FY 2025 discharge data to simulate payments and compared the 
following:
     Aggregate payments using the proposed FY 2027 labor-
related share percentage, the proposed FY 2027 relative weights, and 
the proposed FY 2027 wage data prior to any reclassifications under 
sections 1886(d)(8)(B) and (C) and 1886(d)(10) of the Act, and applied 
the proxy hospital readmissions payment adjustments and the proxy 
hospital VBP payment adjustments (as described previously).
     Aggregate payments using the proposed FY 2027 labor-
related share percentage, the proposed FY 2027 relative weights, and 
the proposed FY 2027 wage data after such reclassifications, and 
applied the same proxy hospital readmissions payment adjustments and 
the proxy hospital VBP payment adjustments applied previously.
    We note that the reclassifications applied under the second 
simulation and comparison are those listed in Table 2 associated with 
this proposed rule, which is available via the internet on the CMS 
website. This table reflects reclassification crosswalks for FY 2027 
and applies the policies explained in section III of the preamble of 
this proposed rule. Based on this comparison, we computed a proposed 
budget neutrality adjustment factor and applied this proposed factor to 
the standardized amount to ensure that the effects of these provisions 
are budget neutral, consistent with the statute. Please see the table 
later in this section for a summary of the proposed FY 2027 budget 
neutrality factors.
    The proposed FY 2027 budget neutrality adjustment factor was 
applied to the standardized amount after removing the effects of the FY 
2026 budget neutrality adjustment factor. We note that the proposed FY 
2027 budget neutrality adjustment reflects FY 2027 wage index 
reclassifications approved by the MGCRB or the Administrator at the 
time of development of this proposed rule.
e. Proposed Rural Floor Budget Neutrality Adjustment
    Under Sec.  412.64(e)(4), we make an adjustment to the wage index 
to ensure that aggregate payments after implementation of the rural 
floor under section 4410 of the BBA (Pub. L. 105-33) are equal to the 
aggregate prospective payments that would have been made in the absence 
of this provision. Consistent with section 3141 of the Affordable Care 
Act and as discussed in section III.G of the preamble of this proposed 
rule and codified at Sec.  412.64(e)(4)(ii), the budget neutrality 
adjustment for the rural floor is a national adjustment to the wage 
index.
    In fiscal years in which there are no hospitals in rural Puerto 
Rico with wage data, similar to our calculation in the FY 2015 IPPS/
LTCH PPS final rule (79 FR 50369 through 50370), we calculate a 
national rural Puerto Rico wage index. In such years, our calculation 
of the national rural Puerto Rico wage index is based on the policy 
adopted in the FY 2008 IPPS final rule with comment period (72 FR 
47323). That is, we use the unweighted average of the wage indexes from 
all urban areas that are contiguous to (share a border with) the rural 
counties to compute the rural floor (72 FR 47323; 76 FR 51594). Based 
on the current labor market area delineations used for the wage index, 
all Puerto Rico urban areas are contiguous to a rural area. Therefore, 
the national rural Puerto Rico wage index is calculated based on the 
average of the proposed FY 2027 wage indexes for the following urban 
areas: Aguadilla, PR (CBSA 10380); Arecibo, PR (CBSA 11640), Guayama, 
PR (CBSA 25020); Mayaguez, PR (CBSA 32420); Ponce, PR (CBSA 38660); and 
San Juan-Bayamon-Caguas, PR (CBSA 41980).
    We note, in the FY 2024 IPPS/LTCH final rule (88 FR 58971-77), we 
finalized a policy beginning with FY 2025 to include hospitals with 
Sec.  412.103 reclassification along with geographically rural 
hospitals in all rural wage index calculations and to only exclude 
``dual reclass'' hospitals (hospitals with simultaneous Sec.  412.103 
and MGCRB reclassifications) in accordance with the hold harmless 
provision at section 1886(d)(8)(C)(ii) of the Act. Consistent with the 
previous policy, beginning with FY 2024, we include the data of all 
Sec.  412.103 hospitals (including those that have an MGCRB 
reclassification) in the calculation of the rural floor.

[[Page 19801]]

    To calculate the proposed national rural floor budget neutrality 
adjustment factor, we used FY 2025 discharge data to simulate payments, 
and the post-reclassified national wage indexes and compared the 
following:
     National simulated payments without the rural floor.
     National simulated payments with the rural floor.
    Based on this comparison, we determined a proposed national rural 
floor budget neutrality adjustment factor. The proposed national 
adjustment was applied to the national wage indexes to produce proposed 
rural floor budget neutral wage indexes. Please see the table later in 
this section for a summary of the proposed FY 2027 budget neutrality 
factors.
    As further discussed in section III.G.2 of this proposed rule, 
section 9831 of the American Rescue Plan Act of 2021 (Pub. L. 117-2), 
enacted on March 11, 2021, amended section 1886(d)(3)(E)(i) of the Act 
(42 U.S.C. 1395ww(d)(3)(E)(i)) and added section 1886(d)(3)(E)(iv) of 
the Act to establish a minimum area wage index (or imputed floor) for 
hospitals in all-urban States for discharges occurring on or after 
October 1, 2021. Unlike the imputed floor that was in effect from FY 
2005 through FY 2018, section 1886(d)(3)(E)(iv)(III) of the Act 
provides that the imputed floor wage index shall not be applied in a 
budget neutral manner. Specifically, section 9831(b) of Public Law 117-
2 amends section 1886(d)(3)(E)(i) of the Act to exclude the imputed 
floor from the budget neutrality requirement under section 
1886(d)(3)(E)(i) of the Act. In the past, we budget neutralized the 
estimated increase in payments each year resulting from the imputed 
floor that was in effect from FY 2005 through FY 2018. For FY 2022 and 
subsequent years, in applying the imputed floor required under section 
1886(d)(3)(E)(iv) of the Act, we are applying the imputed floor after 
the application of the rural floor and would apply no reductions to the 
standardized amount or to the wage index to fund the increase in 
payments to hospitals in all-urban States resulting from the 
application of the imputed floor. We refer the reader to section 
III.G.2 of the preamble of this proposed rule for a complete discussion 
regarding the imputed floor.
f. Permanent Cap Policy for Wage Index--Proposed Budget Neutrality 
Adjustment
    As noted previously, in section III.G.6 of the preamble to this 
proposed rule, in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49018 
through 49021) we finalized a policy to apply a 5-percent cap on any 
decrease to a hospital's wage index from its wage index in the prior 
FY, regardless of the circumstances causing the decline. That is, a 
hospital's wage index would not be less than 95 percent of its final 
wage index for the prior FY. We also finalized the application of this 
permanent cap policy in a budget neutral manner through an adjustment 
to the standardized amount to ensure that estimated aggregate payments 
under our wage index cap policy for hospitals that will have a decrease 
in their wage indexes for the upcoming fiscal year of more than 5 
percent will equal what estimated aggregate payments would have been 
without the permanent cap policy.
    To calculate a wage index cap budget neutrality adjustment factor 
for FY 2027, we used FY 2025 discharge data to simulate payments and 
compared the following:
     Aggregate payments without the 5-percent cap using the 
proposed FY 2027 labor-related share percentages and the proposed FY 
2027 relative weights, and applied the proxy hospital readmissions 
payment adjustments and the proxy hospital VBP payment adjustments (as 
described previously).
     Aggregate payments with the 5-percent cap using the 
proposed FY 2027 labor-related share percentages and the proposed FY 
2027 relative weights, and applied the same proxy hospital readmissions 
payment adjustments and the proxy hospital VBP payment adjustments 
applied previously.
g. Proposed Continued Transition for the Discontinuation of the Low 
Wage Index Hospital Policy Budget Neutrality Factor
    In the FY 2025 interim final action with comment period (IFC) (89 
FR 80405 through 80421), we recalculated the FY 2025 IPPS hospital wage 
index to remove the low wage index hospital policy for FY 2025. We also 
removed the low wage index budget neutrality factor from the FY 2025 
standardized amounts. For FY 2026 and subsequent fiscal years, 
consistent with the FY 2025 IFC, after considering the D.C. Circuit's 
decision in Bridgeport Hospital v. Becerra, we discontinued the low 
wage index hospital policy and the application of the low wage index 
budget neutrality factor to the standardized amounts.
    For FY 2025 and FY 2026, consistent with our past practice to 
establish temporary transition policies to mitigate short-term 
instability and payment fluctuations, we established transition 
policies for hospitals significantly impacted by the discontinuation of 
the low wage index hospital policy using our authority under section 
1886(d)(5)(I) of the Act. The transitional payment exception for FY 
2025 for those hospitals was equal to the additional FY 2025 amount a 
hospital would have been paid under the IPPS if its FY 2025 wage index 
were equal to 95 percent of its FY 2024 wage index. The transitional 
payment exception for FY 2026 was equal to the additional FY 2026 
amount the hospital would be paid under the IPPS if its FY 2026 wage 
index were equal to 90.25 percent of its FY 2024 wage index.\556\ For 
FY 2025, we opted not to budget neutralize the interim transition 
policy given the timing of the Bridgeport Hospital v. Becerra decision. 
However, for FY 2026, we finalized a payment transition with a budget 
neutrality adjustment through notice-and-comment rulemaking for 
hospitals facing significant reductions over two years that would not 
be sufficiently mitigated by the wage index cap policy at 42 CFR 
412.64(h)(7). We refer readers to the FY 2025 IFC (89 FR 80405 through 
80421) and to the FY 2026 IPPS/LTCH PPS Final Rule (90 FR 36855 through 
36857) for a full discussion of these transitional payment policies.
---------------------------------------------------------------------------

    \556\ 90.25 percent = 95 percent for FY 2025 * 95 percent for FY 
2026. This can also be expressed as .95[caret]2.
---------------------------------------------------------------------------

    Some hospitals that previously benefitted from the low wage index 
hospital policy would continue to experience decreases of approximately 
5 percent or more per year from their FY 2024 wage index (with the low 
wage index hospital policy applied). Therefore, we are proposing to 
extend the transitional exception to the calculation payments for FY 
2027 a for these hospitals in the same manner as we did for the FY 2026 
wage index. As noted previously, in section III.G.6 of the preamble to 
this proposed rule, for FY 2027 we are proposing to use our authority 
under section 1886(d)(5)(I)(i) of the Act twice. First, we are 
proposing to adopt a narrow transitional exception to the calculation 
of FY 2027 IPPS payments for low wage index hospitals significantly 
impacted by the discontinuation of the low wage index hospital policy. 
Second, we are proposing to exercise our authority again to do so in a 
budget neutral manner. To calculate the proposed transition wage index 
budget neutrality adjustment factor for FY 2027, we used FY 2025 
discharge data to simulate payments and compared the following:
     Aggregate payments without the transition for the 
discontinuation of the low wage index hospital policy, the 5-percent 
cap using the proposed FY 2027

[[Page 19802]]

labor-related share percentages, the proposed FY 2027 relative weights, 
and applied the proxy hospital readmissions payment adjustments and the 
proxy hospital VBP payment adjustments (as described previously).
     Aggregate payments with the proposed transition for the 
discontinuation of the low wage index hospital policy, the 5-percent 
cap using the proposed FY 2027 labor-related share percentages the 
proposed FY 2027 relative weights, and applied the same proxy hospital 
readmissions payment adjustments and the proxy hospital VBP payment 
adjustments applied previously. This proposed FY 2027 budget neutrality 
adjustment factor was applied to the standardized amount.
    We note, Table 2 associated with this proposed rule contains the 
wage index by provider before and after applying the 5 percent cap and 
the transition for the discontinuation of the low wage index hospital 
policy.
    The following table is a summary of the proposed FY 2027 budget 
neutrality factors, as discussed in the previous sections.
[GRAPHIC] [TIFF OMITTED] TP14AP26.232

i. Proposed Outlier Payments
    Section 1886(d)(5)(A) of the Act provides for payments in addition 
to the basic prospective payments for ``outlier'' cases involving 
extraordinarily high costs. To qualify for outlier payments, a case 
must have costs greater than the sum of the prospective payment rate 
for the MS-DRG, any IME and DSH payments, uncompensated care payments, 
supplemental payment for eligible IHS/Tribal hospitals and Puerto Rico 
hospitals, any new technology add-on payments, and the ``outlier 
threshold'' or ``fixed-loss'' amount (a dollar amount by which the 
costs of a case must exceed payments in order to qualify for an outlier 
payment). We refer to the sum of the prospective payment rate for the 
MS-DRG, any IME and DSH payments, uncompensated care payments, 
supplemental payment for eligible IHS/Tribal hospitals and Puerto Rico 
hospitals, any new technology add-on payments, and the outlier 
threshold as the outlier ``fixed-loss cost threshold.'' To determine 
whether the costs of a case exceed the fixed-loss cost threshold, a 
hospital's CCR is applied to the total covered charges for the case to 
convert the charges to estimated costs. Payments for eligible cases are 
then made based on a marginal cost factor, which is a percentage of the 
estimated costs above the fixed-loss cost threshold. The marginal cost 
factor for FY 2027 is 80 percent, or 90 percent for burn MS-DRGs 927, 
928, 929, 933, 934 and 935. We have used a marginal cost factor of 90 
percent since FY 1989 (54 FR 36479 through 36480) for designated burn 
DRGs as well as a marginal cost factor of 80 percent for all other DRGs 
since FY 1995 (59 FR 45367).
    In accordance with section 1886(d)(5)(A)(iv) of the Act, outlier 
payments for any year are projected to be not less than 5 percent nor 
more than 6 percent of total operating DRG payments (which does not 
include IME and DSH payments) plus outlier payments. When setting the 
outlier threshold, we compute the percent target by dividing the total 
projected operating outlier payments by the total projected operating 
DRG payments plus projected operating outlier payments. As discussed in 
the next section, for FY 2027, we are incorporating an estimate of the 
impact of outlier reconciliation when setting the outlier threshold. We 
do not include any other payments such as IME and DSH within the 
outlier target amount. Therefore, it is not necessary to include 
Medicare Advantage IME payments in the outlier threshold calculation. 
Section 1886(d)(3)(B) of the Act requires the Secretary to reduce the 
average standardized amount by a factor to account for the estimated 
total of outlier payments as a proportion of total DRG payments. More 
information on outlier payments may be found on the CMS website at: 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/outlier.html.
(1) Methodology To Incorporate a Proposed Estimate of the Impact of 
Outlier Reconciliation in the FY 2027 Outlier Fixed-Loss Cost Threshold
    The regulations in 42 CFR 412.84(i)(4) state that any outlier 
reconciliation at cost report settlement will be based on operating and 
capital cost-to-charge ratios (CCRs) calculated based on a ratio of 
costs to charges computed from the relevant cost report and charge data 
determined at the time the cost report coinciding with the discharge is 
settled. Instructions for outlier reconciliation are in section 
20.1.2.5 of chapter 3 of the Claims Processing Manual (available at 
https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/clm104c03.pdf). The original instructions issued in July 2003 
\557\ instruct MACs to identify for CMS any instances where: (1) a 
hospital's actual operating CCR for the cost reporting period 
fluctuates plus or minus 10 percentage points or more compared to the 
interim operating CCR used to calculate outlier payments when a bill is 
processed; and (2) the total operating and capital outlier payments for 
the hospital exceeded $500,000 for that cost reporting period. Cost 
reports that meet these criteria will have the hospital's outlier 
payments reconciled at the time of cost report final settlement if 
approved by the CMS Central Office. For the remainder of this 
discussion, we refer to these criteria as the original criteria for 
outlier reconciliation (or the original criteria).
---------------------------------------------------------------------------

    \557\ Change Request 2785 (Transmittal A-03-058; July 3, 2003) 
found at https://www.cms.gov/regulations-and-guidance/guidance/transmittals/downloads/a03058.pdf.
---------------------------------------------------------------------------

    On March 28, 2024, we issued Change Request (CR) 13566, which is 
available at https://www.cms.gov/medicare/regulations-guidance/transmittals/2024-transmittals/r12594cp. CR 13566

[[Page 19803]]

provided additional instructions to MACs for cost reports beginning on 
or after October 1, 2024 that expand the criteria for identifying cost 
reports MACs are to refer to CMS for approval of outlier 
reconciliation. On September 22, 2025, we issued Change Request (CR) 
14233, which is available at https://www.cms.gov/medicare/regulations-guidance/transmittals/2025-transmittals/r13428cp, which delayed the 
implementation of CR 13566 to cost reports beginning on or after 
October 1, 2025. As discussed in the FY 2025 IPPS/LTCH final rule, we 
anticipate that MACs will identify more cost reports to refer to CMS 
for outlier reconciliation approval. Specifically, CR 14233 instructs 
for cost reports beginning on or after October 1, 2025, MACs shall 
identify for CMS any instances where: (1) the actual operating CCR is 
found to be plus or minus 20 percent or more from the operating CCR 
used during that time period to make outlier payments, and (2) the 
total operating and capital outlier payments for the hospital exceeded 
$500,000 for that cost reporting period. For the remainder of this 
discussion, we refer to these criteria as the new criteria for outlier 
reconciliation (or the new criteria). These new criteria for 
identifying hospital cost reports that MACs identify for outlier 
reconciliation approval are in addition to the original criteria for 
reconciliation described previously. That is, under the new criteria, 
MACs identify hospitals for outlier reconciliation approval that would 
not have met the original criteria. In addition, CR 14233 instructs 
that for cost reporting periods that begin on or after October 1, 2025, 
a hospital in its first cost reporting period will be referred for 
reconciliation of outlier payments at the time of cost report final 
settlement. As such, new hospitals will be referred for outlier 
reconciliation approval regardless of the change to the operating CCR 
and no matter the amount of outlier payments during the cost reporting 
period. If we determine that a hospital's outlier payments should be 
reconciled, we reconcile both operating and capital outlier payments. 
We refer readers to section 20.1.2.5 of Chapter 3 of the Medicare 
Claims Processing Manual for complete instructions regarding outlier 
reconciliation, including the update to the outlier reconciliation 
criteria provided in CR 14233. (Refer to the FY 2025 IPPS/LTCH PS final 
rule for additional information (89 FR 69950).)
    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42623 through 
42635), we finalized a methodology to incorporate outlier 
reconciliation in the FY 2020 outlier fixed loss cost threshold. As 
discussed in the FY 2020 IPPS/LTCH PPS proposed rule (84 FR 19592), we 
stated that rather than trying to predict which claims and/or hospitals 
may be subject to outlier reconciliation, we believe a methodology that 
incorporates an estimate of outlier reconciliation dollars based on 
actual outlier reconciliation amounts reported in historical cost 
reports would be a more feasible approach and provide a better estimate 
and predictor of outlier reconciliation for the upcoming fiscal year. 
We also stated that we believe the methodology addresses stakeholder's 
concerns on the impact of outlier reconciliation on the modeling of the 
outlier threshold. (For a detailed discussion of additional background 
regarding outlier reconciliation, we refer the reader to the FY 2020 
IPPS/LTCH PPS final rule.)
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69949 
through 69955), we finalized changes to our methodology to incorporate 
an estimate of outlier reconciliation in the FY 2025 outlier fixed loss 
cost threshold to reflect the estimated reconciled outlier payments 
under the new criteria (described previously). (We note, when we 
finalized these changes to the methodology beginning with FY 2025, CR 
13566 was in place making the new criteria in effect for cost reports 
beginning on or after October 1, 2024.) In that final rule, we provided 
step by step details under our methodology to incorporate a projection 
of outlier payment reconciliations for the FY 2025 outlier threshold 
calculation. We refer the reader to the FY 2025 IPPS/LTCH final rule 
for complete details (89 FR 69950 through 69955).
(a) Incorporating a Proposed Projection of Outlier Reconciliations for 
the FY 2027 Outlier Threshold Calculation
    Under our methodology for incorporating a projection of outlier 
reconciliation for the outlier threshold calculation, for each year, we 
typically advance the historical data used by 1 year, using cost report 
data that is on a 6-year lag, which is typically the most recent and 
complete available data to project the estimate of outlier 
reconciliation. Accordingly, for FY 2025 we used FY 2019 cost report 
data. Because at that time, the new criteria were not effective until 
FY 2025 cost reports, to estimate outlier reconciliation dollars under 
the new criteria, we applied the new criteria to FY 2019 cost reports 
as if they had been in place at the time of final cost report 
settlement. (As noted previously, when we finalized these changes to 
the methodology beginning with FY 2025, CR 13566 was in place making 
the new criteria in effect for cost reports beginning on or after 
October 1, 2024.) In FY 2026, we evaluated the FY 2020 cost report data 
under our methodology as established in FY 2020 and modified in the FY 
2025 IPPS/LTCH PPS final rule. As discussed in the FY 2026 IPPS/LTCH 
PPS final rule, based on our evaluation of the data, for purposes of 
incorporating an estimate of outlier reconciliation in the outlier 
fixed-loss cost threshold calculation for FY 2026, we held the data 
constant and used the percentage of total operating outlier 
reconciliation dollars to total Federal operating payments from the FY 
2025 IPPS/LTCH PPS final rule, which was based on FY 2019 cost reports 
and PSF data.
    For FY 2027, we evaluated the use of the FY 2021 cost report data 
under our methodology as established in FY 2020 and modified in the FY 
2025 IPPS/LTCH PPS final rule, to incorporate a projection of operating 
outlier reconciliations for the FY 2027 outlier threshold calculation 
(that is, the FY 2020 methodology as modified in FY 2025 to reflect 
additional cost reports that would be identified for outlier 
reconciliation approval under the new criteria in CR 14233). 
Specifically, for FY 2027 we evaluated using the same steps finalized 
in the FY 2025 IPPS/LTCH PPS final rule.
    Specifically, we calculated a projection of outlier reconciliation 
using cost report data from FY 2021 hospital cost reports in the 
December 2025 HCRIS extract that were reconciled using the original 
criteria for referral for outlier reconciliation approval. In addition, 
in calculating this estimate, we used data from the Provider Specific 
File (PSF) and the cost report data to identify the FY 2021 cost 
reports that would have met the new criteria if those criteria had been 
in effect. This allows us to account for the additional hospital cost 
reports that would be referred for outlier reconciliation approval as a 
result of the new criteria under our methodology. For purposes of this 
estimate, we used the latest quarterly PSF update (December 2025 for 
the proposed rule).
    As explained previously, our 5-step methodology to incorporate a 
projection of outlier payment reconciliations for the outlier threshold 
calculation is described in detail in the FY 2025 IPPS/LTCH final rule 
(see 89 FR 69950 through 69952). The 5 steps can be summarized as 
follows:

[[Page 19804]]

    Step 1: Identify hospital cost reports that meet the original 
criteria (Step 1a) or the new criteria (Step 1b).
    Step 2: Determine the aggregate amount of operating outlier 
reconciliation dollars (under both the original criteria (Step 2a) and 
the new criteria (Steps 2b)).
    Step 3: Calculate the aggregate amount of total Federal operating 
payments across all applicable hospitals using the cost report data.
    Step 4: Determine the percentage of total operating outlier 
reconciliation dollars to total Federal operating payments for the cost 
report data year.
    Step 5: Adjust the outlier target using the percentage from Step 4.
    With regard to incorporating outlier reconciliation in the FY 2027 
outlier fixed-loss cost threshold, we evaluated the use of the most 
recent available data (as described previously) using the 5-step 
methodology as set forth in the FY 2025 IPPS/LTCH PPS final rule. As we 
explain in greater detail in the discussion that follows, similar to FY 
2026, we found that using the most recent available data under our 5-
step methodology appears to produce anomalous results that may not 
provide an appropriate estimate and predictor of outlier reconciliation 
for the upcoming fiscal year. (We note, for the hospitals identified in 
Step 1b (hospitals that would be referred for outlier reconciliation 
under the new criteria), for this proposed rule we posted a public use 
file that includes the operating CCR calculated from the FY 2021 cost 
report in the most recent publicly available quarterly HCRIS extract 
(the December 2025 HCRIS for the proposed rule), the weighted operating 
CCR used for claim payment during the FY 2021 cost reporting period 
from the latest quarterly PSF update (December 2025 for the proposed 
rule), and the supplemental data from the MACs and operating outlier 
payment reported on the FY 2021 cost report.)
    Step 4 of the methodology divides the aggregate amount from Step 2 
\558\ (operating outlier reconciliation dollars under both the original 
criteria and the new criteria or total reconciled dollars) by the 
amount from Step 3 \559\ (total Federal operating payments across all 
applicable hospitals using the cost report data) and multiplies the 
resulting amount by 100 to produce the percentage of total operating 
outlier reconciliation dollars to total Federal operating payments (89 
FR 69952). As discussed in previous proposed and final rules, when the 
percentage of total operating outlier reconciliation dollars to total 
Federal operating payments in Step 4 rounds to a negative value, the 
effect is a decrease to the outlier threshold compared to an outlier 
threshold that is calculated without including this estimate of 
operating outlier reconciliation dollars. When the percentage of total 
operating outlier reconciliation dollars to total Federal operating 
payments in Step 4 rounds to a positive value, the effect is an 
increase to the outlier threshold compared to an outlier threshold that 
is calculated without including this estimate of operating outlier 
reconciliation dollars.
---------------------------------------------------------------------------

    \558\ Step 2, the numerator of step 4, is the aggregate amount 
of operating outlier reconciliation dollars under both the original 
criteria and the new criteria which is the sum of the amounts from 
Steps 2a and 2b. (89 FR 69951 through 69952).
    \559\ Step 3, the denominator of step 4, is the aggregate amount 
of total Federal operating payments across all applicable hospitals 
using the cost report data (i.e., FY 2021 cost reports for FY 2027). 
The total Federal operating payments consist of the Federal payments 
(Worksheet E, Part A, Line 1.01 and Line 1.02, plus Line 1.03 and 
Line 1.04), outlier payments (Worksheet E, Part A, Lines 2.02, 2.03, 
and 2.04), and the outlier reconciliation amounts from Steps 2a and 
2b. (89 FR 69952).
---------------------------------------------------------------------------

    Using the most recent available data for this proposed rule (as 
described previously), the ratio calculated under Step 4 of the 
methodology would be 0.000000 percent (($457,535/$77,326,439,126) x 
100), which, when rounded to the second digit, is +0.0 percent. Under 
Step 5 of the methodology, this percentage amount would be used to 
adjust the outlier target for FY 2027. This would mean that for FY 
2027, we would incorporate a projection of outlier reconciliation 
dollars by targeting an outlier threshold at 5.1 percent [5.1 percent--
(0.0 percent)]. This 0.0 percentage is being driven by the numerator in 
Step 4 (that is, the total reconciled dollars or the aggregate 
operating outlier reconciliation dollars under both the original 
criteria and the new criteria).
    Typically, the total reconciled dollars in Step 2 (the numerator of 
Step 4) is a negative amount reflecting that overall, providers would 
owe the Medicare program money at the time of outlier reconciliation, 
which then produces a negative percentage of operating outlier 
reconciliation dollars to total Federal operating payments in Step 4. 
Using the most recent available data (described previously), the total 
reconciled dollars in Step 2 (the numerator of Step 4) which is the 
aggregate operating outlier reconciliation dollars under both the 
original criteria and the new criteria, is resulting in a small amount 
owed by CMS to providers ($457,535). When Step 2 is divided by the 
aggregate amount of total Federal operating payments across all 
applicable hospitals using the cost report data in Step 3 
($77,326,439,126; the denominator in Step 4), this results in no 
adjustment to the threshold (0.0 percent).
    As mentioned previously, since FY 2020 we have incorporated outlier 
reconciliation into the outlier fixed loss cost threshold calculation. 
For the outlier fixed loss cost threshold calculation for FYs 2020 
through 2025, the percentage of operating outlier reconciliation 
dollars to total Federal operating payments from Step 4 has resulted in 
a negative value (having the effect of a decrease to the outlier 
threshold). Similar to the evaluation of FY 2020 cost report data for 
FY 2026, using the FY 2021 cost report data and PSF values described 
previously under our methodology would result in a percentage of 
operating outlier reconciliation dollars to total Federal operating 
payments that is inconsistent with the prior historical data. Similar 
to the evaluation of the FY 2020 cost report data for FY 2026, compared 
to the historical data used to calculate the estimate of outlier 
reconciliation for FYs 2020-2025, we believe 0.0 percent may be an 
anomaly and may not be an accurate predictor of outlier reconciliations 
for FY 2027 to use as an estimate of outlier reconciliation dollars for 
incorporating the effect of outlier reconciliation in the FY 2027 
outlier fixed-loss cost threshold. Therefore, rather than use the 
percentage of total operating outlier reconciliation dollars to total 
Federal operating payments from Step 4 based on the latest available 
data (as described previously), for purposes of incorporating an 
estimate of outlier reconciliation into the outlier fixed-loss cost 
threshold calculation for FY 2027, we are proposing to hold the data 
constant and to use the percentage of total operating outlier 
reconciliation dollars to total Federal operating payments from Step 4 
from the FY 2025 IPPS/LTCH PPS final rule which is based on FY 2019 
cost reports and PSF data. As discussed in that final rule (89 FR 
69952), the ratio was a negative 0.041994 percent ((-$36,439,127/
$86,772,005,692) x 100), which, when rounded to the second digit, is -
0.04 percent. Given the anomaly in the most recent available data 
described earlier, we believe that this is the best available data to 
estimate and predict outlier reconciliations for FY 2027 to use to 
incorporate the effect of outlier reconciliation in the FY 2027 outlier 
fixed-loss cost threshold. This percentage amount would then be used to 
adjust the proposed outlier target for FY 2027 as determined in Step 5. 
(For

[[Page 19805]]

complete details on the calculation, refer to the FY 2025 IPPS/LTCH 
final rule (89 FR 69950 through 69952).)
    Under Step 5 of our methodology, because the outlier reconciliation 
dollars are only available on the cost reports, and not in the Medicare 
claims data in the MedPAR file used to model the outlier threshold, we 
are proposing to target 5.1 percent minus the percentage determined 
under Step 4 in determining the outlier threshold. Consistent with the 
FY 2025 IPPS/LTCH PPS final rule, to incorporate a projection of 
outlier reconciliation dollars, we are proposing to target an outlier 
threshold at an amount higher than 5.1 percent for outlier payments for 
FY 2027. Therefore, for FY 2027, we are proposing to incorporate a 
projection of outlier reconciliation dollars by targeting an outlier 
threshold at 5.14 percent [5.1 percent - (-0.04 percent)]. As explained 
earlier, when the aggregate amount of outlier reconciliation as a 
percent of total operating payments rounds to a negative percent, the 
effect is a decrease to the outlier threshold compared to an outlier 
threshold that is calculated without including this estimate of 
operating outlier reconciliation dollars. In section II.A.4.i.(2). of 
this Addendum, we provide the FY 2027 proposed outlier threshold as 
calculated for this proposed rule both with and without including this 
percentage estimate of operating outlier reconciliation.
    Consistent with the approach taken in the FY 2020 IPPS/LTCH PPS 
proposed rule (84 FR 19593), we would continue to use a 5.1 percent 
target (or an outlier offset factor of 0.949) in calculating the 
outlier offset to the standardized amount. Therefore, the proposed 
operating outlier offset to the standardized amount is 0.949 (1 - 
0.051).
    We note, for the FY 2027 final rule, consistent with our historical 
practice, we plan to evaluate the updated data available at the time of 
the development of that final rule (such as the March 2026 HCRIS 
extract of the FY 2021 cost report). We would evaluate the use of that 
updated data in the methodology to assess whether that data still shows 
an anomaly such that it would not be appropriate to use in calculating 
the projection of outlier reconciliation dollars for FY 2027 and, 
depending on the results of this evaluation, may consider use of that 
data for purposes of projecting an estimate of outlier reconciliation 
dollars and incorporating that estimate into the modeling for the fixed 
loss cost outlier threshold for FY 2027. We are inviting public comment 
on our proposed methodology for projecting an estimate of outlier 
reconciliation and incorporating that estimate into the modeling for 
the fixed loss cost outlier threshold for FY 2027.
(b) Proposed Adjustment To Account for Capital Outlier Reconciliation 
Payments in the Projected Proportion of Capital IPPS Payments Paid as 
Outliers in Determining the FY 2027 Capital Federal Rate
    We establish an outlier threshold that is applicable to both 
hospital inpatient operating costs and hospital inpatient capital 
related costs (58 FR 46348). Similar to the calculation of the 
adjustment to the standardized amount to account for the projected 
proportion of operating payments paid as outlier payments, as discussed 
in greater detail in section III.A.2. of this Addendum, we are 
proposing to reduce the FY 2027 capital standard Federal rate by an 
adjustment factor to account for the projected proportion of capital 
IPPS payments paid as outliers. The regulations in 42 CFR 412.84(i)(4) 
state that any outlier reconciliation at cost report settlement would 
be based on operating and capital CCRs calculated based on a ratio of 
costs to charges computed from the relevant cost report and charge data 
determined at the time the cost report coinciding with the discharge is 
settled. As such, any reconciliation also applies to capital outlier 
payments.
    Under our methodology for incorporating an adjustment to account 
for capital outlier reconciliation payments in the projected proportion 
of capital IPPS payments paid as outliers in determining the FY 2027 
capital Federal rate, each year, we typically advance the historical 
data used by 1 year and use cost report data that is on a six year lag, 
which is typically the most recent and complete available data to 
project the estimate of outlier reconciliation. Accordingly, for FY 
2025 we used FY 2019 cost report data. Because at that time, the new 
criteria were not effective until FY 2025 cost reports, to estimate 
outlier reconciliation dollars under the new criteria, we applied the 
new criteria to FY 2019 cost reports as if they had been in place at 
the time of final cost report settlement. (As noted previously, when we 
finalized these methodology changes beginning with FY 2025, CR 13566 
was in place making the new criteria in effect for cost reports 
beginning on or after October 1, 2024.) In FY 2026, we evaluated the FY 
2020 cost report data under our methodology as established in FY 2020 
and modified in the FY 2025 IPPS/LTCH PPS final rule. As discussed in 
the FY 2026 IPPS/LTCH PPS final rule, based on our evaluation of the 
data, for purposes of incorporating an adjustment to account for 
capital outlier reconciliation payments in the projected proportion of 
capital IPPS payments paid as outliers in determining the FY 2026 
capital Federal rate, we held the data constant and used the percentage 
of total capital outlier reconciliation dollars to total capital 
Federal payments from the FY 2025 IPPS/LTCH PPS final rule, which was 
based on FY 2019 cost reports and PSF data.
    For FY 2027, we evaluated the use of the FY 2021 cost report data 
under the methodology we used for FY 2025 to incorporate an adjustment 
to the FY 2027 capital standard Federal rate to account for the 
projected proportion of capital IPPS payments paid as outliers (that 
is, the FY 2020 methodology as modified in FY 2025 to reflect 
additional cost reports that would be identified for reconciliation 
under the new criteria in CR 14233). Specifically, we calculated an 
estimate of outlier reconciliation using cost report data from FY 2021 
hospital cost reports in the December 2025 HCRIS extract that were 
reconciled using the original criteria for referral for outlier 
reconciliation. Similarly, in calculating this estimate, we used data 
from the Provider Specific File (PSF) and the cost report data to 
identify the FY 2021 cost reports that would have met the new criteria 
if those criteria had been in effect. This allowed us to account for 
the additional hospital cost reports that would be referred for outlier 
reconciliation approval as a result of the new criteria under our 
methodology. For purposes of the estimate, we used the latest quarterly 
PSF update (December 2025) for the proposed rule.
    As previously explained, in the FY 2025 IPPS/LTCH PPS final rule 
(89 FR 699540 through 69955), we finalized changes to our methodology 
to incorporate an estimate of outlier reconciliation in the FY 2025 
outlier fixed loss cost threshold to reflect the estimated reconciled 
outlier payments under the new criteria in CR 13566 (described 
previously). In that final rule, we provided step by step details under 
our methodology to incorporate a projection of outlier payment 
reconciliations for the FY 2025 outlier threshold calculation. (For 
complete details on our 5-step methodology to incorporate an adjustment 
to the capital outlier adjustment factor, we refer readers to the FY 
2025 IPPS/LTCH final rule (89 FR 69953 through 69955).) The 5 steps can 
be summarized as follows:
    Step 1: Identify hospital cost reports that meet the original 
criteria (Step 1a) or the new criteria (Step 1b).

[[Page 19806]]

    Step 2: Determine the aggregate amount of capital outlier 
reconciliation dollars (under both the original criteria (Step 2a) and 
the new criteria (Steps 2b)).
    Step 3: Calculate the aggregate amount of total capital Federal 
payments across all applicable hospitals using the cost report data.
    Step 4: Determine the percentage of total capital outlier 
reconciliation dollars to total capital Federal payments for the cost 
report data year.
    Step 5: Adjust the capital outlier adjustment factor using the 
percentage from Step 4.
    Under this methodology, because the outlier reconciliation dollars 
are only available on the cost reports, and not in the specific 
Medicare claims data in the MedPAR file used to estimate outlier 
payments, in Step 5 the estimate of capital outlier payments are 
determined by adding the percentage determined in Step 4 to the 
estimated percentage of capital outlier payments otherwise determined 
using the shared outlier threshold that is applicable to both hospital 
inpatient operating costs and hospital inpatient capital-related costs. 
(We note that this percentage is added for capital outlier payments but 
subtracted in the analogous step for operating outlier payments. We 
have a unified outlier payment methodology that uses a shared threshold 
to identify outlier cases for both operating and capital payments. The 
difference stems from the fact that operating outlier payments are 
determined by first setting a ``target'' percentage of operating 
outlier payments relative to aggregate operating payments which 
produces the outlier threshold. Once the shared threshold is set, it is 
used to estimate the percentage of capital outlier payments to total 
capital payments based on that threshold. Because the threshold is 
already set based on the operating target, rather than adjusting the 
threshold (or operating target), we adjust the percentage of capital 
outlier to total capital payments to account for the estimated effect 
of capital outlier reconciliation payments. This percentage is adjusted 
by adding the capital outlier reconciliation percentage from Step 4 to 
the estimate of the percentage of capital outlier payments to total 
capital payments based on the shared threshold.)
    As discussed in previous proposed and final rules, when the 
aggregate capital outlier reconciliation dollars in Step 2 is negative, 
the estimate of capital outlier payments under our methodology would be 
lower than the percentage of capital outlier payments otherwise 
determined using the shared outlier threshold. Under Step 5 this would 
be a relatively smaller outlier budget neutrality adjustment factor 
which would have the effect of an increase to the capital Federal rate. 
When the aggregate capital outlier reconciliation dollars from Step 2 
are positive, the estimate of capital outlier payments under our 
methodology would be higher than the percentage of capital outlier 
payments otherwise determined using the shared outlier threshold. Under 
Step 5 this would be a relatively larger outlier budget neutrality 
adjustment factor which would have the effect of a decrease to the 
capital Federal rate.
    With regard to incorporating an adjustment to account for capital 
outlier reconciliation payments in the projected proportion of capital 
IPPS payments paid as outliers, we evaluated the use of the most recent 
available data (as described previously) using the 5-step methodology 
as set forth in the FY 2025 IPPS/LTCH PPS final rule. (We note, for the 
hospitals identified in Step 1b (hospitals that would be referred for 
outlier reconciliation approval under the new criteria), for this 
proposed rule we posted a public use file that includes the capital CCR 
calculated from the FY 2021 cost report in the most recent publicly 
available quarterly HCRIS extract (the December 2025 HCRIS for the 
proposed rule), the weighted capital CCR used for claim payment during 
the FY 2021 cost reporting period from the latest quarterly PSF update 
(December 2025 for the proposed rule), and the supplemental data from 
the MACs and capital outlier payment reported on the FY 2021 cost 
report.)
    Step 4 of the methodology divides the aggregate amount from Step 2 
\4\ (capital outlier reconciliation dollars under both the original 
criteria and the new criteria or total reconciled dollars) by the 
amount from Step 3 \5\ (total Federal capital payments across all 
applicable hospitals using the cost report data) and multiplies the 
resulting amount by 100 to produce the percentage of total capital 
outlier reconciliation dollars to total capital Federal payments (89 FR 
69955). Under the methodology, in Step 5 this amount is added to the 
estimated percentage of capital outlier payments otherwise determined 
using the shared outlier threshold (as explained previously).
---------------------------------------------------------------------------

    \4\ Step 2, the numerator of step 4, is the aggregate amount of 
capital outlier reconciliation dollars under both the original 
criteria and the new criteria which is the sum of the amounts from 
Steps 2a and 2b. (89 FR 69954 through 69955).
    \5\ Step 3, the denominator of step 4, is the aggregate amount 
of total capital Federal payments across all applicable hospitals 
using the cost report data. The total capital Federal payments 
consist of the capital DRG payments, capital outlier payments, 
capital indirect medical education (IME) Payments, capital 
disproportionate share hospital (DSH) payments (Worksheet E, Part A, 
Line 50, Column 1) and the capital outlier reconciliation amounts 
from Steps 2a and 2b. (89 FR 69955).
---------------------------------------------------------------------------

    For this proposed rule, the estimated percentage of FY 2027 capital 
outlier payments otherwise determined using the shared outlier 
threshold is 3.60 percent (estimated capital outlier payments of 
$264,774,667 divided by (estimated capital outlier payments of 
$264,774,667 plus the estimated total capital Federal payment of 
$7,080,040,076)). Using the most recent available data (described 
previously), the total in Step 2 is $4,597,730, which is a negative 
amount. The percentage calculated in Step 4 was a negative 0.065876 
percent (($4,597,730/$6,979,384,161) x 100), which, when rounded to the 
second digit, is -0.07 percent. Under Step 5 of the methodology, this 
percentage amount would be used to adjust the estimate of capital 
outlier payments for FY 2027. This would mean that for this FY 2027 
proposed rule we would decrease the estimated percentage of FY 2027 
aggregate capital outlier payments by 0.07 percent. This negative 0.07 
percentage point is being driven by the numerator in Step 4 (that is, 
the total reconciled dollars or the aggregate capital outlier 
reconciliation dollars under both the original criteria and the new 
criteria).
    The total reconciled dollars in Step 2 (the numerator of Step 4) is 
a negative amount reflecting that overall, providers would owe the 
Medicare program money at the time of outlier reconciliation, which 
then produces a negative percentage of capital outlier reconciliation 
dollars to total Federal capital payments in Step 4. This is consistent 
with the trends in the historical data.
    However, as discussed earlier, using the FY 2021 cost report data 
and PSF values under our methodology for incorporating a projection of 
operating outlier reconciliations for the outlier threshold calculation 
would result in a percentage of operating outlier reconciliation 
dollars to total Federal operating payments that is inconsistent with 
the historical data. As previously discussed, compared to the 
historical data used to calculate the estimate of outlier 
reconciliation for FYs 2020-2025, we believe that 0.0 percent may be an 
anomaly and may not be an accurate predictor of outlier reconciliations 
for FY 2027 to use as an estimate of outlier reconciliation dollars for 
incorporating the effect of outlier reconciliation in the FY 2027 
outlier fixed-loss cost

[[Page 19807]]

threshold. Therefore, for purposes of incorporating an estimate of 
outlier reconciliation into the outlier fixed-loss cost threshold 
calculation for FY 2027, we are proposing to hold the data constant and 
to use the percentage of total operating outlier reconciliation dollars 
to total Federal operating payments from Step 4 from the FY 2025 IPPS/
LTCH PPS final rule which is based on FY 2019 cost reports and PSF data 
rather than use the percentage of total operating outlier 
reconciliation dollars to total Federal operating payments from Step 4 
based on the latest available data. For this reason, to ensure the use 
of consistent data for incorporating a projection of operating and 
capital outlier reconciliations, for purposes of incorporating an 
adjustment to the capital standard Federal rate for FY 2027, we are 
proposing to also hold the data constant and to use the percentage of 
total capital outlier reconciliation dollars to total capital Federal 
payments from Step 4 from the FY 2025 IPPS/LTCH PPS final rule which is 
based on FY 2019 cost reports and PSF data rather than use the 
percentage of total capital outlier reconciliation dollars to total 
capital Federal payments from Step 4 based on the latest available 
data. We believe aligning the projection of operating and capital 
outlier reconciliations based on data from the same period (2019 cost 
reports) is a consistent and methodologically sound approach for 
ensuring comparability across calculations and minimizes possible 
distortions that could result from using data from different reporting 
periods.
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69955), 
based on FY 2019 cost reports and PSF data, the ratio was a negative 
0.028042 percent ((-$2,181,440/$7,779,306,800) x 100), which, when 
rounded to the second digit, is -0.03 percent. Accordingly, for this 
proposed rule, taking into account projected capital outlier 
reconciliation under our methodology would decrease the estimated 
percentage of FY 2027 aggregate capital outlier payments by 0.03 
percent. This percentage amount would be used to adjust the proposed 
estimated percentage of FY 2027 aggregate capital outlier payments 
under Step 5 of the methodology. (For complete details on the 
calculation, refer to the FY 2025 IPPS/LTCH final rule (89 FR 69953 
through 69955).)
    As discussed in section III.A.2. of this Addendum, we are 
incorporating the capital outlier reconciliation dollars from Step 5 
when applying the outlier adjustment factor in determining the proposed 
capital Federal rate based on the estimated percentage of capital 
outlier payments to total capital Federal rate payments for FY 2027.
    We note, for the FY 2027 final rule, consistent with our historical 
practice, we plan to evaluate the updated data available at the time of 
the development of that final rule (such as the March 2026 HCRIS 
extract of the FY 2021 cost report). We would evaluate the use of that 
updated data in the methodology to assess whether that data still shows 
an anomaly such that it would not be appropriate to use in calculating 
the projection of outlier reconciliation dollars for FY 2027 and, 
depending on the results of this evaluation, may consider use of that 
data for purposes of projecting an estimate of outlier reconciliation 
dollars and incorporating an adjustment to the FY 2027 capital standard 
Federal rate to account for the projected proportion of capital IPPS 
payments paid as outliers. We are inviting public comment on our 
proposed methodology for incorporating an adjustment to account for 
capital outlier reconciliation payments in the projected proportion of 
capital IPPS payments paid as outliers in determining the FY 2027 
capital Federal rate.
(2) Proposed FY 2027 Outlier Fixed-Loss Cost Threshold
    In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50977 through 
50983), in response to public comments on the FY 2013 IPPS/LTCH PPS 
proposed rule, we made changes to our methodology for projecting the 
outlier fixed-loss cost threshold for FY 2014. We refer readers to the 
FY 2014 IPPS/LTCH PPS final rule for a detailed discussion of the 
changes.
    As we have done in the past, to calculate the proposed FY 2027 
outlier threshold, we simulated payments by applying proposed FY 2027 
payment rates and policies using cases from the FY 2025 MedPAR file. As 
noted in section II.C. of this Addendum, we specify the formula used 
for actual claim payment which is also used by CMS to project the 
outlier threshold for the upcoming fiscal year. The difference is the 
source of some of the variables in the formula. For example, operating 
and capital CCRs for actual claim payment are from the Provider-
Specific File (PSF) while CMS uses an adjusted CCR (as described later 
in this section) to project the threshold for the upcoming fiscal year. 
In addition, charges for a claim payment are from the bill while 
charges to project the threshold are from the MedPAR data with an 
inflation factor applied to the charges (as described earlier).
    In order to determine the proposed FY 2027 outlier threshold, we 
inflated the charges on the MedPAR claims by 2 years, from FY 2025 to 
FY 2027. Consistent with the FY 2020 IPPS/LTCH PPS final rule (84 FR 
42626 and 42627), we are using the following methodology to calculate 
the charge inflation factor for FY 2027:
     Include hospitals whose last four digits fall between 0001 
and 0899 (section 2779A1 of Chapter 2 of the State Operations Manual on 
the CMS website at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/som107c02.pdf); include CAHs and REHs that 
were IPPS hospitals for the time period of the MedPAR data being used 
to calculate the charge inflation factor; include hospitals in 
Maryland; and remove PPS-excluded cancer hospitals that have a ``V'' in 
the fifth position of their provider number or a ``E'' or ``F'' in the 
sixth position.
     Include providers that are in both periods of charge data 
that are used to calculate the 1-year average annual rate of-change in 
charges per case. We note this is consistent with the methodology used 
since FY 2014.
     We excluded Medicare Advantage IME claims for the reasons 
described in section I.A.4. of this Addendum. We refer readers to the 
FY 2011 IPPS/LTCH PPS final rule for a complete discussion on our 
methodology of identifying and adding the total Medicare Advantage IME 
payment amount to the budget neutrality adjustments.
     In order to ensure that we capture only FFS claims, we 
included claims with a ``Claim Type'' of 60 (which is a field on the 
MedPAR file that indicates a claim is an FFS claim).
     In order to further ensure that we capture only FFS 
claims, we excluded claims with a ``GHOPAID'' indicator of 1 (which is 
a field on the MedPAR file that indicates a claim is not an FFS claim 
and is paid by a Group Health Organization).
     We examined the MedPAR file and removed pharmacy charges 
for anti-hemophilic blood factor (which are paid separately under the 
IPPS) with an indicator of ``3'' for blood clotting with a revenue code 
of ``0636'' from the covered charge field. We also removed organ 
acquisition charges from the covered charge field because organ 
acquisition is a pass-through payment not paid under the IPPS. As noted 
previously, we are proposing to remove allogeneic hematopoietic stem 
cell acquisition charges from the covered charge field for budget 
neutrality adjustments. As discussed in the FY 2021 IPPS/LTCH PPS final 
rule,

[[Page 19808]]

payment for allogeneic hematopoietic stem cell acquisition costs is 
made on a reasonable cost basis for cost reporting periods beginning on 
or after October 1, 2020 (85 FR 58835 through 58842).
     Because this payment simulation uses the proposed FY 2027 
relative weights, consistent with our proposal discussed in section 
IV.I. of the preamble to this proposed rule, we applied the proposed 
adjustor for certain cases that group to MS-DRG 018 in our simulation 
of these payments.
    Our general methodology to inflate the charges computes the 1-year 
average annual rate-of-change in charges per case which is then applied 
twice to inflate the charges on the MedPAR claims by 2 years since we 
typically use claims data for the fiscal year that is 2 years prior to 
the upcoming fiscal year.
    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42627), we modified 
our charge inflation methodology. We stated that we believe balancing 
our preference to use the latest available data from the MedPAR files 
and stakeholders' concerns about being able to use publicly available 
MedPAR files to review the charge inflation factor can be achieved by 
modifying our methodology to use the publicly available Federal fiscal 
year period (that is, for FY 2020, we used the charge data from Federal 
fiscal years 2017 and 2018), rather than the most recent data available 
to CMS which, under our prior methodology, was based on calendar year 
data. We refer the reader to the FY 2020 IPPS/LTCH PPS final rule for a 
complete discussion regarding this change.
    For the same reasons discussed in that rulemaking, for FY 2027, we 
are proposing to use the same methodology as FY 2020 to determine the 
charge inflation factor. That is, for FY 2027, we are proposing to use 
the MedPAR files for the two most recent available Federal fiscal year 
time periods to calculate the charge inflation factor, as we did for FY 
2020. Specifically, for this proposed rule we used the December 2024 
MedPAR file of FY 2024 (October 1, 2023, to September 30, 2024) charge 
data (released for the FY 2026 IPPS/LTCH PPS proposed rule) and the 
December 2025 MedPAR file of FY 2025 (October 1, 2024, to September 30, 
2025) charge data (released for this FY 2027 IPPS/LTCH PPS proposed 
rule) to compute the proposed charge inflation factor. We are proposing 
that for the FY 2027 final rule, we would use more recently updated 
data, that is the MedPAR files from March 2025 for the FY 2024 time 
period and March 2026 for the FY 2025 time period.
    For FY 2027, under this proposed methodology, to compute the 1-year 
average annual rate-of-change in charges per case, we compared the 
average covered charge per case of $90,776.90 ($623,467,062,919/
6,868,125) from October 1, 2023, through September 30, 2024, to the 
average covered charge per case of $97,412.36 ($677,169,023,175/
6,951,572) from October 1, 2024, through September 30, 2025. This rate-
of-change was 7.310 percent (1.07310) or 15.154 percent (1.15154) over 
2 years. The billed charges are obtained from the claims from the 
MedPAR file and inflated by the inflation factor specified previously.
    As we have done in the past, in this FY 2027 IPPS/LTCH PPS proposed 
rule, we are proposing to establish the FY 2027 outlier threshold using 
hospital CCRs from the December 2025 update to the Provider-Specific 
File (PSF), the most recent available data at the time of the 
development of the proposed rule. We are proposing to apply the 
following edits to providers' CCRs in the PSF. We believe these edits 
are appropriate to accurately model the outlier threshold. We first 
search for Indian Health Service providers and those providers assigned 
the statewide average CCR from the current fiscal year. We then replace 
these CCRs with the statewide average CCR for the upcoming fiscal year. 
We also assign the statewide average CCR (for the upcoming fiscal year) 
to those providers that have no value in the CCR field in the PSF or 
whose CCRs exceed the ceilings described later in this section (3.0 
standard deviations from the mean of the log distribution of CCRs for 
all hospitals). We do not apply the adjustment factors described later 
in this section to hospitals assigned the statewide average CCR. For FY 
2027, we are proposing to continue to apply an adjustment factor to the 
CCRs to account for cost and charge inflation (as explained later in 
this section). We are also proposing that, if more recent data become 
available, we would use that data to calculate the final FY 2027 
outlier threshold.
    In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50979), we adopted a 
new methodology to adjust the CCRs. Specifically, we finalized a policy 
to compare the national average case-weighted operating and capital CCR 
from the most recent update of the PSF to the national average case-
weighted operating and capital CCR from the same period of the prior 
year.
    Therefore, as we have done in the past, we are proposing to adjust 
the CCRs from the December 2025 update of the PSF by comparing the 
percentage change in the national average case weighted operating CCR 
and capital CCR from the December 2024 update of the PSF to the 
national average case weighted operating CCR and capital CCR from the 
December 2025 update of the PSF. We note that we used total transfer-
adjusted cases from FY 2025 to determine the national average case 
weighted CCRs for both sides of the comparison. As stated in the FY 
2014 IPPS/LTCH PPS final rule (78 FR 50979), we believe that it is 
appropriate to use the same case count on both sides of the comparison 
because this will produce the true percentage change in the average 
case-weighted operating and capital CCR from one year to the next 
without any effect from a change in case count on different sides of 
the comparison.
    Using the proposed methodology, for this proposed rule, we 
calculated a December 2024 operating national average case-weighted CCR 
of 0.24059 and a December 2025 operating national average case-weighted 
CCR of 0.235176.We then calculated the percentage change between the 
two national operating case-weighted CCRs by subtracting the December 
2024 operating national average case-weighted CCR from the December 
2025 operating national average case-weighted CCR and then dividing the 
result by the December 2024 national operating average case-weighted 
CCR. This resulted in a proposed one-year national operating CCR 
adjustment factor of 0.977497.
    We used this same proposed methodology to adjust the capital CCRs. 
Specifically, we calculated a December 2024 capital national average 
case-weighted CCR of 0.01644 and a December 2025 capital national 
average case-weighted CCR of 0.015639. We then calculated the 
percentage change between the two national capital case-weighted CCRs 
by subtracting the December 2024 capital national average case-weighted 
CCR from the December 2025 capital national average case-weighted CCR 
and then dividing the result by the December 2024 capital national 
average case-weighted CCR. This resulted in a proposed one-year 
national capital CCR adjustment factor of 0.951277.
    For purposes of estimating the proposed outlier threshold for FY 
2027, we used a wage index that reflects the policies discussed in the 
proposed rule. This includes the following:
     The proposed rural and imputed floor adjustments.
     The proposed State frontier floor adjustments in 
accordance with section 10324(a) of the Affordable Care Act, Public Law 
111-148.

[[Page 19809]]

     The proposed out-migration adjustment as added by section 
505 of Public Law 108-173.
     Our policy (described in section III.F.5 of the preamble 
of this proposed rule) to apply a 5-percent cap on any decrease to a 
hospital's wage index from its wage index in the prior FY, regardless 
of the circumstances causing the decline.
     The proposed continuation of the transition for the 
discontinuation of the low wage index hospital policy (as described in 
section III.F.6 of the preamble of this proposed rule).
    If we did not take the aforementioned into account, our estimate of 
total FY 2027 payments would be too low, and, as a result, the proposed 
outlier threshold would be too high, such that estimated outlier 
payments would be less than our projected 5.1 percent of total payments 
(which includes outlier reconciliation).
    As described in sections V.K. and V.L., respectively, of the 
preamble of this proposed rule, sections 1886(q) and 1886(o) of the Act 
establish the Hospital Readmissions Reduction Program and the Hospital 
VBP Program, respectively. We do not believe that it is appropriate to 
include the hospital VBP payment adjustments and the hospital 
readmissions payment adjustments in the proposed outlier threshold 
calculation or the proposed outlier offset to the standardized amount. 
Specifically, consistent with our definition of the base operating DRG 
payment amount for the Hospital Readmissions Reduction Program under 
Sec.  412.152 and the Hospital VBP Program under Sec.  412.160, outlier 
payments under section 1886(d)(5)(A) of the Act are not affected by 
these payment adjustments. Therefore, outlier payments would continue 
to be calculated based on the unadjusted base DRG payment amount (as 
opposed to using the base-operating DRG payment amount adjusted by the 
hospital readmissions payment adjustment and the hospital VBP payment 
adjustment). Consequently, we are proposing to exclude the estimated 
hospital VBP payment adjustments and the estimated hospital 
readmissions payment adjustments from the calculation of the proposed 
outlier fixed-loss cost threshold.
    We note that, to the extent section 1886(r) of the Act modifies the 
DSH payment methodology under section 1886(d)(5)(F) of the Act, the 
uncompensated care payment under section 1886(r)(2) of the Act, like 
the empirically justified Medicare DSH payment under section 1886(r)(1) 
of the Act, may be considered an amount payable under section 
1886(d)(5)(F) of the Act such that it would be reasonable to include 
the payment in the outlier determination under section 1886(d)(5)(A) of 
the Act. As we have done since the implementation of uncompensated care 
payments in FY 2014, for FY 2027, we are proposing to allocate an 
estimated per-discharge uncompensated care payment amount to all cases 
for the hospitals eligible to receive the uncompensated care payment 
amount in the calculation of the outlier fixed-loss cost threshold 
methodology. We continue to believe that allocating an eligible 
hospital's estimated uncompensated care payment to all cases equally in 
the calculation of the outlier fixed-loss cost threshold would best 
approximate the amount we would pay in uncompensated care payments 
during the year because, when we make claim payments to a hospital 
eligible for such payments, we would be making estimated per-discharge 
uncompensated care payments to all cases equally.
    Furthermore, we continue to believe that using the estimated per-
claim uncompensated care payment amount to determine outlier estimates 
provides predictability as to the amount of uncompensated care payments 
included in the calculation of outlier payments. Therefore, consistent 
with the methodology used since FY 2014 to calculate the outlier fixed-
loss cost threshold, for FY 2027, we are proposing to include estimated 
FY 2027 uncompensated care payments in the computation of the proposed 
outlier fixed-loss cost threshold. Specifically, we are proposing to 
use the estimated per-discharge uncompensated care payments to 
hospitals eligible for the uncompensated care payment for all cases in 
the calculation of the proposed outlier fixed-loss cost threshold 
methodology.
    In addition, consistent with the methodology finalized in the FY 
2023 final rule, we are proposing to include the estimated supplemental 
payments for eligible IHS/Tribal hospitals and Puerto Rico hospitals in 
the computation of the FY 2027 proposed outlier fixed-loss cost 
threshold. Specifically, we are proposing to use the estimated per-
discharge supplemental payments to hospitals eligible for the 
supplemental payment for all cases in the calculation of the proposed 
outlier fixed-loss cost threshold methodology.
    Using this methodology, we used the formula described in section 
I.C.1. of this Addendum to simulate and calculate the Federal payment 
rate and outlier payments for all claims. In addition, as described in 
the earlier section to this Addendum, we are proposing to incorporate 
an estimate of FY 2027 outlier reconciliation in the methodology for 
determining the outlier threshold. As noted previously, for the FY 2027 
proposed rule, we are proposing to hold the data constant and to use 
the FY 2025 final rule percentage of total operating outlier 
reconciliation dollars to total Federal operating payments from Step 4 
from the FY 2025 IPPS/LTCH PPS final rule which is based on FY 2019 
cost reports and PSF data. As discussed in the FY 2025 IPPS/LTCH PPS 
final rule, the ratio of outlier reconciliation dollars to total 
Federal Payments (Step 4) was a negative 0.041994 percent, which, when 
rounded to the second digit, is -0.04 percent. Therefore, for FY 2027, 
we are proposing to incorporate a projection of outlier reconciliation 
dollars by targeting an outlier threshold at 5.14 percent [5.1 percent-
(-.04 percent)]. Under this proposed approach, we determined a proposed 
threshold of $51,704 and calculated total outlier payments of 
$4,642,138,720 total operating Federal payments of $90,312,360,835. We 
then divided total outlier payments by total operating Federal payments 
plus total outlier payments and determined that this threshold matched 
with the 5.14 percent target, which reflected our proposal to 
incorporate an estimate of outlier reconciliation in the determination 
of the outlier threshold (as discussed in more detail in the previous 
section of this Addendum). We note that, if calculated without applying 
our proposed methodology for incorporating an estimate of outlier 
reconciliation in the determination of the outlier threshold, the 
proposed threshold would be $52,096. We are proposing an outlier fixed-
loss cost threshold for FY 2027 equal to the prospective payment rate 
for the MS-DRG, plus any IME, empirically justified Medicare DSH 
payments, estimated uncompensated care payment, estimated supplemental 
payment for eligible IHS/Tribal hospitals and Puerto Rico hospitals, 
and any add-on payments for new technology, plus $51,704.
(3) Other Changes Concerning Outliers
    As stated in the FY 1994 IPPS final rule (58 FR 46348), we 
establish an outlier threshold that is applicable to both hospital 
inpatient operating costs and hospital inpatient capital-related costs. 
When we modeled the combined operating and capital outlier payments, we 
found that using a common threshold resulted in a higher percentage of 
outlier payments for capital-related costs than for operating costs. We 
project that the threshold for

[[Page 19810]]

FY 2027 (which reflects our methodology to incorporate an estimate of 
operating outlier reconciliation) would result in outlier payments that 
would equal 5.1 percent of operating DRG payments and we estimate that 
capital outlier payments would equal 3.57 percent of capital payments 
based on the Federal rate (which reflects our methodology discussed 
previously to incorporate an estimate of capital outlier 
reconciliation).
    In accordance with section 1886(d)(3)(B) of the Act and as 
discussed previously, we are proposing to reduce the FY 2027 
standardized amount by 5.1 percent to account for the projected 
proportion of payments paid as outliers.
    The proposed outlier adjustment factors that would be applied to 
the operating standardized amount and capital Federal rate based on the 
FY 2027 outlier threshold are as follows:
[GRAPHIC] [TIFF OMITTED] TP14AP26.233

    We are proposing to apply the outlier adjustment factors to the FY 
2027 payment rates after removing the effects of the FY 2026 outlier 
adjustment factors on the standardized amount.
    To determine whether a case qualifies for outlier payments, we 
currently apply hospital-specific CCRs to the total covered charges for 
the case. Estimated operating and capital costs for the case are 
calculated separately by applying separate operating and capital CCRs. 
These costs are then combined and compared with the outlier fixed-loss 
cost threshold.
    Under our current policy at Sec.  412.84, we calculate operating 
and capital CCR ceilings and assign a statewide average CCR for 
hospitals whose CCRs exceed 3.0 standard deviations from the mean of 
the log distribution of CCRs for all hospitals. Based on this 
calculation, for hospitals for which the MAC computes operating CCRs 
greater than 1.278 or capital CCRs greater than 0.13 or hospitals for 
which the MAC is unable to calculate a CCR (as described under Sec.  
412.84(i)(3) of our regulations), statewide average CCRs are used to 
determine whether a hospital qualifies for outlier payments. Table 8A 
listed in section VI. of this Addendum (and available via the internet 
on the CMS website) contains the proposed statewide average operating 
CCRs for urban hospitals and for rural hospitals for which the MAC is 
unable to compute a hospital-specific CCR within the range previously 
specified. These statewide average ratios would be effective for 
discharges occurring on or after October 1, 2026, and would replace the 
statewide average ratios from the prior fiscal year. Table 8B listed in 
section VI. of this Addendum (and available via the internet on the CMS 
website) contains the proposed comparable statewide average capital 
CCRs. As previously stated, the proposed CCRs in Tables 8A and 8B would 
be used during FY 2027 when hospital-specific CCRs based on the latest 
settled cost report either are not available or are outside the range 
noted previously. Table 8C listed in section VI. of this Addendum (and 
available via the internet on the CMS website) contains the proposed 
statewide average total CCRs used under the LTCH PPS as discussed in 
section V. of this Addendum.
    We finally note that section 20.1.2 of chapter three of the 
Medicare Claims Processing Manual (on the internet at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/clm104c03.pdf) covers an array of topics, including CCRs, 
reconciliation, and the time value of money. We encourage hospitals 
that are assigned the statewide average operating and/or capital CCRs 
to work with their MAC on a possible alternative operating and/or 
capital CCR as explained in the manual. Use of an alternative CCR 
developed by the hospital in conjunction with the MAC can avoid 
possible overpayments or underpayments at cost report settlement, 
thereby ensuring better accuracy when making outlier payments and 
negating the need for outlier reconciliation. We also note that a 
hospital may request an alternative operating or capital CCR at any 
time as long as the guidelines of the manual are followed. In addition, 
the manual outlines the outlier reconciliation process for hospitals 
and Medicare contractors. We refer hospitals to the manual instructions 
for complete details on outlier reconciliation.
(4) FY 2025 Outlier Payments
    Our current estimate, using available FY 2025 claims data, is that 
actual outlier payments for FY 2025 were approximately 4.86 percent of 
actual total MS-DRG payments. Therefore, the data indicate that, for FY 
2025, the percentage of actual outlier payments relative to actual 
total payments is lower than we projected for FY 2025. Consistent with 
the policy and statutory interpretation we have maintained since the 
inception of the IPPS, we do not make retroactive adjustments to 
outlier payments to ensure that total outlier payments for FY 2025 are 
equal to 5.1 percent of total MS-DRG payments. As explained in the FY 
2003 Outlier final rule (68 FR 34502), if we were to make retroactive 
adjustments to all outlier payments to ensure total payments are 5.1 
percent of MS-DRG payments (by retroactively adjusting outlier 
payments), we would be removing the important aspect of the prospective 
nature of the IPPS. Because such an across-the-board adjustment would 
either lead to more or less outlier payments for all hospitals, 
hospitals would no longer be able to reliably approximate their payment 
for a patient while the patient is still hospitalized. We believe it 
would be neither necessary nor appropriate to make such an aggregate 
retroactive adjustment. Furthermore, we believe it is consistent with 
the statutory language at section 1886(d)(5)(A)(iv) of the Act not to 
make retroactive adjustments to outlier payments. This section states 
that outlier payments be equal to or greater than 5 percent and less 
than or equal to 6 percent of projected or estimated (not actual) MS-
DRG payments. We believe that an important goal of a PPS is 
predictability. Therefore, we believe that the fixed-loss outlier 
threshold should be projected based on the best available historical 
data and should not be adjusted retroactively. A retroactive change to 
the fixed-loss outlier threshold would affect all hospitals subject to 
the IPPS, thereby undercutting the predictability of the system as a 
whole.
    We note that, because the MedPAR claims data for the entire FY 2026 
period would not be available until after September 30, 2026, we are 
unable to provide an estimate of actual outlier payments for FY 2026 
based on FY 2026

[[Page 19811]]

claims data in this proposed rule. We will provide an estimate of 
actual FY 2026 outlier payments in the FY 2028 IPPS/LTCH PPS proposed 
rule.
5. Proposed FY 2027 Standardized Amount
    The adjusted standardized amount is divided into labor-related and 
nonlabor-related portions. Tables 1A and 1B listed and published in 
section VI. of this Addendum (and available via the internet on the CMS 
website) contain the national standardized amounts that we are 
proposing to apply to all hospitals, except hospitals located in Puerto 
Rico, for FY 2027. The proposed standardized amount for hospitals in 
Puerto Rico is shown in Table 1C listed and published in section VI. of 
this Addendum (and available via the internet on the CMS website). The 
proposed amounts shown in Tables 1A and 1B differ only in that the 
labor-related share applied to the standardized amounts in Table 1A is 
66.0 percent, and the labor-related share applied to the standardized 
amounts in Table 1B is 62 percent. In accordance with sections 
1886(d)(3)(E) and 1886(d)(9)(C)(iv) of the Act, we are proposing to 
apply a labor-related share of 62 percent, unless application of that 
percentage would result in lower payments to a hospital than would 
otherwise be made. In effect, the statutory provision means that we 
would apply a labor-related share of 62 percent for all hospitals whose 
wage indexes are less than or equal to 1.0000. In addition, Tables 1A 
and 1B include the proposed standardized amounts reflecting the 
proposed applicable percentage increases for FY 2027.
    The proposed labor-related and nonlabor-related portions of the 
national average standardized amounts for Puerto Rico hospitals for FY 
2027 are set forth in Table 1C listed and published in section VI. of 
this Addendum (and available via the internet on the CMS website). 
Similarly, section 1886(d)(9)(C)(iv) of the Act, as amended by section 
403(b) of Public Law 108-173, provides that the labor-related share for 
hospitals located in Puerto Rico be 62 percent, unless the application 
of that percentage would result in lower payments to the hospital.
    The following table illustrates the changes from the FY 2026 
national standardized amounts to the proposed FY 2027 national 
standardized amounts. The second through fifth columns display the 
changes from the FY 2026 standardized amounts for each proposed 
applicable FY 2027 standardized amount. The first row of the table 
shows the updated (through FY 2026) average standardized amount after 
restoring the FY 2026 offsets for outlier payments, geographic 
reclassification, rural demonstration, and wage index cap policy budget 
neutrality. The MS-DRG reclassification and recalibration wage index, 
and stem cell acquisition budget neutrality factors are cumulative 
(that is, we have not restored the offsets). Accordingly, those FY 2026 
adjustment factors have not been removed from the base rate in the 
following table.
BILLING CODE 4120-01-P

[[Page 19812]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.234

BILLING CODE 4120-01-C

B. Proposed Adjustments for Area Wage Levels and Cost-of-Living

    Tables 1A through 1C, as published in section VI. of this Addendum 
(and available via the internet on the CMS website), contain the labor-
related and nonlabor-related shares that we are using to calculate the 
prospective payment rates for hospitals located in the 50 States, the 
District of Columbia, and Puerto Rico for FY 2027. This section 
addresses two types of adjustments to the standardized amounts that are 
made in determining the prospective payment rates as described in this 
Addendum.
1. Proposed Adjustment for Area Wage Levels
    Sections 1886(d)(3)(E) and 1886(d)(9)(C)(iv) of the Act require 
that we make an adjustment to the labor-related portion of the national 
prospective payment rate to account for area differences in hospital 
wage levels. This adjustment is made by multiplying the labor-related 
portion of the adjusted standardized amounts by the appropriate wage 
index for the area in which the hospital is located. For FY 2027, as 
discussed in section IV.B.3. of the preamble of this proposed rule, we 
are proposing to apply a labor-related share of 66.0 percent for the 
national

[[Page 19813]]

standardized amounts for all IPPS hospitals (including hospitals in 
Puerto Rico) that have a wage index value that is greater than 1.0000. 
Consistent with section 1886(d)(3)(E) of the Act, we are proposing to 
apply the wage index to a labor-related share of 62 percent of the 
national standardized amount for all IPPS hospitals (including 
hospitals in Puerto Rico) whose wage index values are less than or 
equal to 1.0000. In section III. of the preamble of this proposed rule, 
we discuss the data and methodology for the FY 2027 wage index.
2. Adjustment for Cost-of-Living in Alaska and Hawaii
    Section 1886(d)(5)(H) of the Act provides discretionary authority 
to the Secretary to make adjustments as the Secretary deems appropriate 
to take into account the unique circumstances of hospitals located in 
Alaska and Hawaii. Higher labor-related costs for these two States are 
taken into account in the adjustment for area wages described above. To 
account for higher nonlabor-related costs for these two States, we 
multiply the nonlabor-related portion of the standardized amount for 
hospitals in Alaska and Hawaii by an adjustment factor. For FY 2011 and 
in prior fiscal years, we used the most recent cost-of-living 
adjustment (COLA) factors obtained from the U.S. Office of Personnel 
Management (OPM) website at https://www.opm.gov/policy-data-oversight/pay-leave/pay-systems/nonforeign-areas/#url=COLA-Rates to update this 
nonlabor portion.
    In the FY 2013 IPPS/LTCH PPS final rule, we established a 
methodology to update the COLA factors for Alaska and Hawaii that were 
published by the OPM every 4 years (coinciding with the update to the 
labor-related share of the IPPS market basket), beginning in FY 2014. 
We refer readers to the FY 2013 IPPS/LTCH PPS proposed and final rules 
for additional background and a detailed description of this 
methodology (77 FR 28145 through 28146 and 77 FR 53700 through 53701, 
respectively). In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45546 
through 45547), we updated the COLA factors published by OPM for 2009 
(as these are the last COLA factors OPM published prior to 
transitioning from COLAs to locality pay) using the methodology that we 
finalized in the FY 2013 IPPS/LTCH PPS final rule and Consumer Price 
Indices (CPIs) data through 2020. Based on the policy finalized in the 
FY 2013 IPPS/LTCH PPS final rule, we utilized these COLA factors for 
FYs 2022 through 2025 to adjust the nonlabor-related portion of the 
standardized amount for hospitals located in Alaska and Hawaii.
    In general, under our existing methodology, we update the 2009 OPM 
COLA factors by a comparison of the growth in the CPIs for the areas of 
Urban Alaska and Urban Hawaii, relative to the growth in the CPI for 
the average U.S. city as published by the Bureau of Labor Statistics 
(BLS). We use the comparison of the growth in the overall CPI relative 
to the growth in the CPI for those areas to update the COLA factors for 
all areas in Alaska and Hawaii, respectively, because BLS publishes CPI 
data for only Urban Alaska and Urban Hawaii. Using the respective CPI 
commodities index and CPI services index and using the approximate 
commodities/services shares obtained from the IPPS market basket, we 
create reweighted CPIs for each of the respective areas to reflect the 
underlying composition of the IPPS market basket nonlabor-related 
share. Lastly we exercised our discretionary authority to adjust 
payments to hospitals in Alaska and Hawaii by incorporating the 
statutorily mandated cap of 25 percent that was applied when 
determining OPM's COLA factors. (For additional information, refer to 
the FY 2022 IPPS/LTCH PPS final rule (86 FR 45546 through 45547).)
    We previously stated our intention to update the COLA factors at 
the same time as the update to the labor-related share of the IPPS 
market basket. In the FY 2026 IPPS/LTCH PPS proposed rule, we proposed 
to update the labor-related share of the IPPS market basket. We also 
stated that at that time, we believed it would be appropriate to 
maintain the current COLA factors for FY 2026 to allow us to consider 
whether it would be appropriate to incorporate additional data sources 
or other methodology changes in determining the COLA factors we apply 
to IPPS payments to account for the unique circumstances of hospitals 
located in Alaska and Hawaii (90 FR 18437 through `18438). Therefore, 
we proposed to continue to use the FY 2025 COLA factors to adjust the 
nonlabor-related portion of the standardized amount for hospitals 
located in Alaska and Hawaii for FY 2026. We solicited comments on any 
possible data sources that could be considered in the development of 
the COLA factors.
    As summarized in the FY 2026 IPPS/LTCH PPS final rule (90 FR 
37230), one commenter supported CMS' proposal to maintain the current 
COLA methodology temporarily while we evaluate alternative approaches. 
The commenter requested that CMS utilize a more sensitive adjustment to 
reflect cost variation across Alaska. The commenter stated that tying 
Alaska's COLA to a single urban index does not reflect higher costs in 
more remote areas. The commenter also requested that CMS reconsider the 
25-percent cap on the COLAs and engage with providers during the 
development of the new methodology. After consideration of the public 
comment we received, we finalized our proposal to continue to use the 
FY 2025 COLA factors to adjust the nonlabor related portion of the 
standardized amount for hospitals located in Alaska and Hawaii for FY 
2026.
    After further consideration, effective for FY 2027, we are 
proposing to adjust non-labor related costs for hospitals located in 
Alaska and Hawaii, using the Overseas Cost-of-Living Allowance (OCOLA) 
data \560\ published by the Department of Defense (DOD). These OCOLAs 
are received by Service members serving outside of the contiguous U.S. 
(OCONUS) and are designed to offset higher prices of non-housing goods 
and services in order to equalize purchasing power with members 
stationed in the contiguous U.S. (CONUS). To calculate the OCOLAs for 
each OCONUS area, DOD currently uses Living Pattern Survey (LPS) data 
on purchasing patterns of Service members (e.g. how and where they 
purchase certain goods and services including whether these are 
purchased from a commissary, retail store, or online) and price data 
for approximately 150 goods and services.\561\ The DOD compares the 
OCONUS LPS and price data with similar data obtained in CONUS.
---------------------------------------------------------------------------

    \560\ https://www.travel.dod.mil/Allowances/Overseas-Cost-of-Living-Allowance/.
    \561\ Previously, pricing data was collected by Country 
Allowance Coordinators in each OCONUS location using the Retail 
Price Schedule. Effective August 2025, the DOD has outsourced the 
pricing data collection process for OCONUS to a private contractor.
---------------------------------------------------------------------------

    We believe the DOD OCOLAs are an appropriate data source to capture 
the cost differences of hospital nonlabor-related inputs purchased in 
the areas of Hawaii and Alaska compared to the continental U.S. The DOD 
OCOLAs reflect the relative price differences in a basket of non-
housing goods and services that would be consistent with many of the 
nonlabor-related goods and services that hospitals purchase (such as 
pharmaceuticals, food, and cleaning supplies). In addition, unlike the 
prior approach that relied on CPI data for urban areas, these relative 
price differences would account for the additional shipping costs to 
remote areas. Specifically, the DOD OCOLAs are reflective of the 
specific areas of

[[Page 19814]]

Alaska and Hawaii where hospitals are located.
    For the proposed COLA factors for IPPS hospitals located in Alaska 
and Hawaii for FY 2027, we are proposing to use the OCOLAs published by 
DOD effective for January 1, 2026. The DOD OCOLAs are available for 26 
Alaska locality areas and 6 Hawaii locality areas. Similar to the COLAs 
used for Alaska and Hawaii for FY 2022 through FY 2026 that are based 
on the original OPM COLAs, we are proposing to continue to use the four 
Nonforeign COLA Areas designated by OPM for Alaska and the four 
Nonforeign COLA Areas designated by OPM for Hawaii as shown in Table 
II.B.2.
    For each of the designated OPM areas for cities in Alaska (City of 
Anchorage, City of Fairbanks, and City of Juneau), if there is more 
than one DOD OCOLA within a 50-mile radius of the city, we are 
proposing to average the DOD OCOLAs within the designated OPM area to 
calculate the proposed COLA. Specifically, for the COLA factor for the 
City of Anchorage, we are proposing to average the DOD OCOLAs for the 
Anchorage and Wasilla locality areas. For the COLA factor for the City 
of Fairbanks, we are proposing to average the DOD OCOLAs for the 
College, Eielson Air Force Base, and Fairbanks locality areas. For the 
Rest of Alaska COLA, given that there are IPPS hospitals located in two 
locality areas (Bethel and Kenai), we are proposing to average the DOD 
OCOLAs for these two locality areas to calculate the proposed COLA.
    For Hawaii, the OCOLAs published by DOD are generally consistent 
with the OPM designated areas. To obtain the COLA factor for the OPM 
designated area of County of Maui and County of Kalawao, we are 
proposing to average the DOD OCOLAs for the Maui and Molokai locality 
areas.
    Starting with the FY 2027 payment year, we are proposing to no 
longer cap the COLA factors at 25 percent. We note that OPM's COLA 
factors were calculated with a statutorily mandated cap of 25 percent 
\562\ and we had exercised our discretionary authority to adjust 
payments to hospitals in Alaska and Hawaii by incorporating this 25-
percent cap. Since we are no longer proposing to use the OPM COLA 
factors, as well as in consideration of the public comment we received, 
we are exercising our discretionary authority to no longer cap the COLA 
factors at 1.25. Lastly, for fiscal years after FY 2027, in order to 
facilitate stability in payment rates, we are proposing to continue to 
update the COLA factors at the same time the labor-related share of the 
IPPS market basket is updated.
---------------------------------------------------------------------------

    \562\ Section 5941 of title 5, United States Code, and Executive 
Order 10000 (as amended) authorize the payment of COLAs in 
nonforeign areas (https://www.opm.gov/policy-data-oversight/pay-leave/pay-systems/nonforeign-areas/). Section 5941 states that the 
allowance may not exceed 25 percent.
---------------------------------------------------------------------------

    Below is a table with the proposed COLA factors for FY 2027, as 
calculated using this proposed methodology, which indicates that 
changing the data source and eliminating the 25-percent cap has 
different impacts by area. We are soliciting comments on this proposed 
methodology and the use of the DOD OCOLAs, including any comments on 
how the use of survey data that are specific to Service members, 
including their access to discounted commissary prices that might be 
variable by geographic area, may result in differential impacts across 
the designated areas. We are also requesting comment on any potential 
modifications to this proposed methodology, including a potential 
phase-in of the use of these data or a transition period for 
implementation, which we may consider finalizing in the FY 2027 IPPS/
LTCH PPS final rule, after consideration of the comments received.
[GRAPHIC] [TIFF OMITTED] TP14AP26.235

C. Calculation of the Proposed Prospective Payment Rates

1. General Formula for Calculation of the Prospective Payment Rates for 
FY 2027
    In general, the operating prospective payment rate for all 
hospitals (including hospitals in Puerto Rico) paid under the IPPS, 
except SCHs and MDHs, for FY 2027 equals the Federal rate (which 
includes uncompensated care payments). As previously discussed, section 
6202 of the Consolidated Appropriations Act, 2026 (Pub. L. 119-75) 
extended the MDH program for FY 2027 discharges occurring before 
January 1, 2027. Therefore, under current law, the MDH program will 
expire for discharges on or after January 1, 2027.
    SCHs are paid based on whichever of the following rates yields the 
greatest aggregate payment:
     The Federal national rate (which, as discussed in section 
V.E. of the preamble of this proposed rule, includes uncompensated care 
payments).
     The updated hospital-specific rate based on FY 1982 costs 
per discharge.
     The updated hospital-specific rate based on FY 1987 costs 
per discharge.
     The updated hospital-specific rate based on FY 1996 costs 
per discharge.
     The updated hospital-specific rate based on FY 2006 costs 
per discharge to determine the rate that yields the greatest aggregate 
payment.

[[Page 19815]]

    The prospective payment rate for SCHs for FY 2027 equals the higher 
of the applicable Federal rate, or the hospital-specific rate as 
described later in this section. The prospective payment rate for MDHs 
for discharges occurring before January 1, 2027, equals the higher of 
the Federal rate, or the Federal rate plus 75 percent of the difference 
between the Federal rate and the hospital-specific rate as described in 
this section. For MDHs, the updated hospital-specific rate is based on 
FY 1982, FY 1987, or FY 2002 costs per discharge, whichever yields the 
greatest aggregate payment.
2. Operating and Capital Federal Payment Rate and Outlier Payment 
Calculation
    Note: The formula specified in this section is used for actual 
claim payment and is also used by CMS to project the outlier threshold 
for the upcoming fiscal year. The difference is the source of some of 
the variables in the formula. For example, operating and capital CCRs 
for actual claim payment are from the PSF while CMS uses an adjusted 
CCR (as described previously) to project the threshold for the upcoming 
fiscal year. In addition, charges for a claim payment are from the bill 
while charges to project the threshold are from the MedPAR data with an 
inflation factor applied to the charges (as described earlier).
    Step 1--Determine the MS-DRG and MS-DRG relative weight (from Table 
5) for each claim primarily based on the ICD-10-CM diagnosis and ICD-
10-PCS procedure codes on the claim.
    Step 2--Select the applicable average standardized amount depending 
on whether the hospital submitted qualifying quality data and is a 
meaningful EHR user, as described previously.
    Step 3--Compute the operating and capital Federal payment rate:
--Federal Payment Rate for Operating Costs = MS-DRG Relative Weight x 
[(Labor-Related Applicable Standardized Amount x Applicable CBSA Wage 
Index) + (Nonlabor-Related Applicable Standardized Amount x Cost-of-
Living Adjustment)] x (1 + IME + (DSH * 0.25))
--Federal Payment for Capital Costs = MS-DRG Relative Weight x Federal 
Capital Rate x Geographic Adjustment Fact x (l + IME + DSH)
    Step 4--Determine operating and capital costs:
--Operating Costs = (Billed Charges x Operating CCR)
--Capital Costs = (Billed Charges x Capital CCR).
    Step 5--Compute operating and capital outlier threshold (CMS 
applies a geographic adjustment to the operating and capital outlier 
threshold to account for local cost variation):
--Operating CCR to Total CCR = (Operating CCR)/(Operating CCR + Capital 
CCR)
--Operating Outlier Threshold = [Fixed Loss Threshold x ((Labor-Related 
Portion x CBSA Wage Index) + Nonlabor-Related portion)] x Operating CCR 
to Total CCR + Federal Payment with IME, DSH + Uncompensated Care 
Payment + supplemental payment for eligible IHS/Tribal hospitals and 
Puerto Rico hospitals + New Technology Add-On Payment Amount
--Capital CCR to Total CCR = (Capital CCR)/(Operating CCR + Capital 
CCR)
--Capital Outlier Threshold = (Fixed Loss Threshold x Geographic 
Adjustment Factor x Capital CCR to Total CCR) + Federal Payment with 
IME and DSH
    Step 6--Compute operating and capital outlier payments:
--Marginal Cost Factor = 0.80 or 0.90 (depending on the MS-DRG)
--Operating Outlier Payment = (Operating Costs-Operating Outlier 
Threshold) x Marginal Cost Factor
--Capital Outlier Payment = (Capital Costs-Capital Outlier Threshold) x 
Marginal Cost Factor
    The payment rate may then be further adjusted for hospitals that 
qualify for a low-volume payment adjustment under section 1886(d)(12) 
of the Act and 42 CFR 412.101(b). The base-operating DRG payment amount 
may be further adjusted by the hospital readmissions payment adjustment 
and the hospital VBP payment adjustment as described under sections 
1886(q) and 1886(o) of the Act, respectively. Payments also may be 
reduced by the 1-percent adjustment under the HAC Reduction Program as 
described in section 1886(p) of the Act. We also make new technology 
add-on payments in accordance with section 1886(d)(5)(K) and (L) of the 
Act. Finally, we add the uncompensated care payment and supplemental 
payment for eligible IHS/Tribal hospitals and Puerto Rico hospitals to 
the total claim payment amount. As noted in the previous formula, we 
take uncompensated care payments, supplemental payments for eligible 
IHS/Tribal hospitals and Puerto Rico hospitals, and new technology add-
on payments into consideration when calculating outlier payments.
3. Hospital-Specific Rate (Applicable Only to SCHs and MDHs)
a. Calculation of Hospital-Specific Rate
    Section 1886(b)(3)(C) of the Act provides that SCHs are paid based 
on whichever of the following rates yields the greatest aggregate 
payment: the Federal rate; the updated hospital-specific rate based on 
FY 1982 costs per discharge; the updated hospital-specific rate based 
on FY 1987 costs per discharge; the updated hospital-specific rate 
based on FY 1996 costs per discharge; or the updated hospital-specific 
rate based on FY 2006 costs per discharge to determine the rate that 
yields the greatest aggregate payment. As discussed previously, 
currently MDHs are paid based on the Federal national rate or, if 
higher, the Federal national rate plus 75 percent of the difference 
between the Federal national rate and the greater of the updated 
hospital-specific rates based on either FY 1982, FY 1987, or FY 2002 
costs per discharge. As noted, under current law, the MDH program is 
effective for FY 2027 discharges before January 1, 2027.
    For a more detailed discussion of the calculation of the hospital-
specific rates, we refer readers to the FY 1984 IPPS interim final rule 
(48 FR 39772); the April 20, 1990, final rule with comment period (55 
FR 15150); the FY 1991 IPPS final rule (55 FR 35994); and the FY 2001 
IPPS final rule (65 FR 47082).
b. Updating the FY 1982, FY 1987, FY 1996, FY 2002 and FY 2006 
Hospital-Specific Rate for FY 2027
    Section 1886(b)(3)(B)(iv) of the Act provides that the applicable 
percentage increase applicable to the hospital-specific rates for SCHs 
and MDHs equals the applicable percentage increase set forth in section 
1886(b)(3)(B)(i) of the Act (that is, the same update factor as for all 
other hospitals subject to the IPPS). Because the Act sets the update 
factor for SCHs and MDHs equal to the update factor for all other IPPS 
hospitals, the update to the hospital-specific rates for SCHs and MDHs 
is subject to the amendments to section 1886(b)(3)(B) of the Act made 
by sections 3401(a) and 10319(a) of the Affordable Care Act. As 
discussed in section V.F. of the preamble of this final rule, section 
6202 of the Consolidated Appropriations Act, 2026 (Pub. L. 119-75) 
extended the MDH program for FY 2027 discharges occurring before 
January 1, 2027. Therefore, under current law, the MDH program will 
expire for discharges on or after January 1, 2027.
    Accordingly, the proposed applicable percentage increases to the 
hospital-

[[Page 19816]]

specific rates applicable to SCHs and MDHs are the following:
[GRAPHIC] [TIFF OMITTED] TP14AP26.236

    For a complete discussion of the applicable percentage increase 
applied to the hospital-specific rates for SCHs and MDHs, we refer 
readers to section V.F. of the preamble of this proposed rule.
    In addition, because SCHs and MDHs use the same MS-DRGs as other 
hospitals when they are paid based in whole or in part on the hospital-
specific rate, the hospital-specific rate is adjusted by a budget 
neutrality factor to ensure that changes to the MS-DRG classifications 
and the recalibration of the MS-DRG relative weights are made in a 
manner so that aggregate IPPS payments are unaffected. Therefore, the 
hospital specific-rate for an SCH or MDH is adjusted by the MS-DRG 
reclassification and recalibration budget neutrality factor, as 
discussed in section III. of this Addendum and listed in the table in 
section II. of this Addendum. In addition, as discussed in section 
II.E.2.d. of the preamble this proposed rule and previously, we are 
applying a permanent 10-percent cap on the reduction in a MS-DRG's 
relative weight in a given fiscal year, as finalized in the FY 2023 
IPPS/LTCH PPS final rule. Because SCHs and MDHs use the same MS-DRGs as 
other hospitals when they are paid based in whole or in part on the 
hospital-specific rate, consistent with the policy adopted in the FY 
2023 IPPS/LTCH PPS final rule (87 FR 48897 through 48900 and 49432 
through 49433), the hospital specific-rate for an SCH or MDH would be 
adjusted by the proposed MS-DRG 10-percent cap budget neutrality 
factor. The resulting rate is used in determining the payment rate that 
an SCH or MDH would receive for its discharges beginning on or after 
October 1, 2026.

III. Proposed Changes to Payment Rates for Acute Care Hospital 
Inpatient Capital Related Costs for FY 2027

    The PPS for acute care hospital inpatient capital related costs was 
implemented for cost reporting periods beginning on or after October 1, 
1991. The basic methodology for determining Federal capital prospective 
rates is set forth in- the regulations at 42 CFR 412.308 through 
412.352. In this section of this Addendum, we discuss the factors that 
we are proposing to use to determine the capital Federal rate for FY 
2027, which would be effective for discharges occurring on or after 
October 1, 2026.
    All hospitals (except ``new'' hospitals under Sec.  412.304(c)(2)) 
are paid based on the capital Federal rate. We annually update the 
capital standard Federal rate, as provided in Sec.  412.308(c)(1), to 
account for capital input price increases and other factors. The 
regulations at Sec.  412.308(c)(2) also provide that the capital 
Federal rate be adjusted annually by a factor equal to the estimated 
proportion of outlier payments under the capital Federal rate to total 
capital payments under the capital Federal rate. In addition, Sec.  
412.308(c)(3) requires that the capital Federal rate be reduced by an 
adjustment factor equal to the estimated proportion of payments for 
exceptions under Sec.  412.348. (We note that, as discussed in the FY 
2013 IPPS/LTCH PPS final rule (77 FR 53705), there is generally no 
longer a need for an exceptions payment adjustment factor.) However, in 
limited circumstances, an additional payment exception for 
extraordinary circumstances is provided for under Sec.  412.348(f) for 
qualifying hospitals. Therefore, in accordance with Sec.  
412.308(c)(3), an exceptions payment adjustment factor may need to be 
applied if such payments are made. Section 412.308(c)(4)(ii) requires 
that the capital standard Federal rate be adjusted so that the effects 
of the annual DRG reclassification and the recalibration of DRG weights 
and changes in the geographic adjustment factor (GAF) are budget 
neutral.
    Section 412.374 provides for payments to hospitals located in 
Puerto Rico under the IPPS for acute care hospital inpatient capital 
related costs, which currently specifies capital IPPS payments to 
hospitals located in Puerto Rico are based on 100 percent of the 
Federal rate.

A. Determination of the Proposed Federal Hospital Inpatient Capital 
Related-Prospective Payment Rate Update for FY 2027

    In the discussion that follows, we explain the factors that we are 
proposing to use to determine the capital Federal rate for FY 2027. In 
particular, we explain why the proposed FY 2027 capital Federal rate 
would increase approximately 4.02 percent, compared to the FY 2026 
capital Federal rate. As discussed in the impact analysis in Appendix A 
to this proposed rule, we estimate that capital payments per discharge 
would increase approximately 2.3 percent during that same period. 
Because capital payments constitute approximately 10 percent of 
hospital payments, a 1-percent change in the capital Federal rate 
yields only approximately a 0.1 percent change in actual payments to 
hospitals.
1. Projected Capital Standard Federal Rate Update
    Under Sec.  412.308(c)(1), the capital standard Federal rate is 
updated on the basis of an analytical framework that takes into account 
changes in a capital input price index (CIPI) and several other policy 
adjustment factors. Specifically, we adjust the projected CIPI rate of 
change, as appropriate, each year for case-mix index-related changes, 
for intensity, and for errors in previous

[[Page 19817]]

CIPI forecasts. The proposed update factor for FY 2027 under that 
framework is 3.1 percent based on a projected 2.8 percent increase in 
the 2023-based CIPI, a proposed 0.0 percentage point adjustment for 
intensity, a proposed 0.0 percentage point adjustment for case-mix, a 
proposed 0.0 percentage point adjustment for the DRG reclassification 
and recalibration, and a proposed forecast error correction of 0.3 
percentage point. As discussed in section III.C. of this Addendum, we 
continue to believe that the CIPI is the most appropriate input price 
index for capital costs to measure capital price changes in a given 
year. We also explain the basis for the FY 2027 CIPI projection in that 
same section of this Addendum. In this proposed rule, we describe the 
policy adjustments that we are proposing to apply in the update 
framework for FY 2027.
    The case mix index is the measure of the average DRG weight for 
cases paid under the IPPS. Because the DRG weight determines the 
prospective payment for each case, any percentage increase in the case- 
mix- index corresponds to an equal percentage increase in hospital 
payments.
    The case mix- index can change for any of several reasons--
     The average resource use of Medicare patient changes 
(``real'' case mix- change);
     Changes in hospital documentation and coding of patient 
records result in higher weighted- DRG assignments (``coding 
effects''); or
     The annual DRG reclassification and recalibration changes 
may not be budget neutral (``reclassification effect'').
    We define real case mix change as actual changes in the mix (and 
resource requirements) of Medicare patients, as opposed to changes in 
documentation and coding behavior that result in assignment of cases to 
higher-weighted DRGs, but do not reflect higher resource requirements. 
The capital update framework includes the same case-mix index 
adjustment used in the former operating IPPS update framework (as 
discussed in the May 18, 2004, IPPS proposed rule for FY 2005 (69 FR 
28816)). (We no longer use an update framework to make a recommendation 
for updating the operating IPPS standardized amounts, as discussed in 
section II. of appendix B to the FY 2006 IPPS final rule (70 FR 
47707).)
    For FY 2027, we are projecting a 0.5 percent total increase in the 
case mix index. We estimated that the real case-mix increase would 
equal 0.5 percent for FY 2027. The net adjustment for change in case 
mix is the difference between the projected real increases in case mix 
and the projected total increase in case mix. Therefore, the proposed 
net adjustment for case-mix change in FY 2027 is 0.0 percentage point.
    The capital update framework also contains an adjustment for the 
effects of DRG reclassification and recalibration. This adjustment is 
intended to remove the effect on total payments of prior year's changes 
to the DRG classifications and relative weights, to retain budget 
neutrality for all case-mix index-related changes other than those due 
to patient severity of illness. Due to the lag time in the availability 
of data, there is a 2-year lag in data used to determine the adjustment 
for the effects of DRG reclassification and recalibration. For example, 
for this proposed rule, we have the FY 2025 MedPAR claims data 
available to evaluate the effects of the FY 2025 DRG reclassification 
and recalibration as part of our update for FY 2027. We assume for 
purposes of this adjustment, that the estimate of FY 2025 DRG 
reclassification and recalibration would result in no change in the 
case-mix when compared with the case mix index that would have resulted 
if we had not made the reclassification and recalibration changes to 
the DRGs. Therefore, we are proposing to make a 0.0 percentage point 
adjustment for reclassification and recalibration in the update 
framework for FY 2027.
    The capital update framework also contains an adjustment for 
forecast error. The input price index forecast is based on historical 
trends and relationships ascertainable at the time the update factor is 
established for the upcoming year. In any given year, there may be 
unanticipated price fluctuations that may result in differences between 
the actual increase in prices and the forecast used in calculating the 
update factors. In setting a prospective payment rate under the 
framework, we make an adjustment for forecast error only if the 
difference in the actual increase and projected increase of the capital 
input price index for any year is greater than 0.25 percentage point in 
absolute terms. There is a 2-year lag between the forecast and the 
availability of data to develop a measurement of the forecast error. 
Historically, when a forecast error of the CIPI is greater than 0.25 
percentage points in absolute terms, it is reflected in the update 
recommended under this framework. The forecast error in any given year 
can be derived as the actual CIPI increase less the forecasted CIPI 
increase. A forecast error of 0.3 percentage point was calculated for 
the FY 2025 update, for which there are historical data. That is, 
current historical data indicate that actual realized price increases 
(2.9 percent) were 0.3 percentage point higher than the forecasted FY 
2025 CIPI increase (2.6 percent) used in calculating the FY 2025 update 
factor. Since this exceeds the 0.25 percentage point threshold, we are 
proposing an adjustment for forecast error in the update for FY 2027.
    Under the capital IPPS update framework, we also make an adjustment 
for changes in intensity. Historically, we calculate this adjustment 
using the same methodology and data that were used in the past under 
the framework for operating IPPS. The intensity factor for the 
operating update framework reflects how hospital services are utilized 
to produce the final product, that is, the discharge. This component 
accounts for changes in the use of quality-enhancing services, for 
changes within DRG severity, and for expected modification of practice 
patterns to remove non cost-effective services. Our intensity measure 
is based on a 5-year average.
    We calculate case-mix constant intensity as the change in total 
cost per discharge, adjusted for price level changes (the Consumer 
Price Index for hospital and related services) and changes in real 
case-mix. Without reliable estimates of the proportions of the overall 
annual intensity changes that are due, respectively, to ineffective 
practice patterns and the combination of quality enhancing new 
technologies and complexity within the DRG system, we assume that one-
half of the annual change is due to each of these factors. Thus, the 
capital update framework provides an add-on to the input price index 
rate of increase of one-half of the estimated annual increase in 
intensity, to allow for increases within DRG severity and the adoption 
of quality-enhancing technology.
    In this proposed rule, we are proposing to continue to use a 
Medicare-specific intensity measure that is based on a 5-year adjusted 
average of cost per discharge for FY 2027 (we refer readers to the FY 
2011 IPPS/LTCH PPS final rule (75 FR 0436) for a full description of 
our Medicare-specific intensity measure). Specifically, for FY 2027, we 
are proposing to use an intensity measure that is based on an average 
of cost per-discharge data from the 5-year period beginning with FY 
2020 and extending through FY 2024. Based on these data, we estimated 
that case-mix constant intensity declined during FYs 2020 through 2024. 
In the past, when we found intensity to be declining, we believed a 
zero (rather than a negative) intensity adjustment was appropriate. 
Consistent with this approach, because we estimated that

[[Page 19818]]

intensity declined during that 5-year period, we believe it is 
appropriate to continue to apply a zero-intensity adjustment for FY 
2027. Therefore, we are proposing to make a 0.0 percentage point 
adjustment for intensity in the update for FY 2027.
    Earlier, we described the basis of the components we used to 
develop the proposed 3.1 percent capital update factor under the 
capital update framework for FY 2027, as shown in the following table.
[GRAPHIC] [TIFF OMITTED] TP14AP26.237

2. Outlier Payment Adjustment Factor
    Section 412.312(c) establishes a unified outlier payment 
methodology for inpatient operating and inpatient capital related 
costs. A shared threshold is used to identify outlier cases for both 
inpatient operating and inpatient capital-related payments. Section 
412.308(c)(2) provides that the standard Federal rate for inpatient 
capital-related costs be reduced by an adjustment factor equal to the 
estimated proportion of capital-related outlier payments to total 
inpatient capital-related PPS payments. The outlier threshold is set so 
that operating outlier payments are projected to be 5.1 percent of 
total operating IPPS DRG payments. For FY 2027, we are proposing to 
continue to incorporate the impact of estimated operating outlier 
reconciliation payment amounts into the outlier threshold model. (For 
more details on our methodology to incorporate an estimate of the 
impact of operating outlier reconciliation payment amounts into the 
outlier threshold model, see section II.A.4.i. of this Addendum to this 
proposed rule.)
    For FY 2026, we estimated that outlier payments for capital-related 
PPS payments would equal 3.84 percent of inpatient capital related-
payments based on the capital Federal rate. Based on the threshold 
discussed in section II.A. of this Addendum, we estimate that prior to 
taking into account projected capital outlier reconciliation payments, 
outlier payments for capital-related costs would equal 3.61 percent of 
inpatient capital-related payments based on the capital Federal rate in 
FY 2027. Using the methodology outlined in section II.A.4.i. of this 
Addendum, we estimate that taking into account projected capital 
outlier reconciliation payments would decrease the estimated percentage 
of FY 2027 capital outlier payments by 0.03 percent. Therefore, 
accounting for estimated capital outlier reconciliation, the estimated 
outlier payments for capital-related PPS payments would equal 3.58 
percent (3.61 percent--0.03 percent) of inpatient capital-related 
payments based on the capital Federal rate in FY 2027. Accordingly, we 
are proposing an outlier adjustment factor of 0.9642 in determining the 
capital Federal rate for FY 2027. Thus, we estimate that the percentage 
of capital outlier payments to total capital Federal rate payments for 
FY 2027 would be lower than the percentage we estimated for FY 2026.
    The outlier reduction factors are not built permanently into the 
capital rates; that is, they are not applied cumulatively in 
determining the capital Federal rate. The proposed FY 2027 outlier 
adjustment of 0.9642 is a 0.27 percent change from the FY 2026 outlier 
adjustment of 0.9616. Therefore, the proposed net change in the outlier 
adjustment to the capital Federal rate for FY 2027 is 1.0027 (0.9642/
0.9616) so that the proposed outlier adjustment would increase the FY 
2027 capital Federal rate by approximately 0.27 percent compared to the 
FY 2026 outlier adjustment.
3. Budget Neutrality Adjustment Factor for Changes in DRG 
Classifications and Weights and the GAF
    Section 412.308(c)(4)(ii) requires that the capital Federal rate be 
adjusted so that aggregate payments for the fiscal year based on the 
capital Federal rate, after any changes resulting from the annual DRG 
reclassification and recalibration and changes in the GAF, are 
projected to equal aggregate payments that would have been made on the 
basis of the capital Federal rate without such changes.
    As discussed in section III.F.6. of the preamble of this proposed 
rule, in the FY 2025 interim final action with comment period (IFC) (89 
FR 80405 through 80421), we recalculated the FY 2025 IPPS hospital wage 
index to remove the low wage index hospital policy for FY 2025. The 
recalculation of the FY 2025 hospital wage index impacted the FY 2025 
GAFs. We also removed the budget neutrality adjustment for changes to 
the GAF for the lowest quartile adjustment from the FY 2025 capital 
Federal rate. For FY 2026 and subsequent fiscal years, after 
considering the D.C. Circuit's decision in Bridgeport Hospital v. 
Becerra, we discontinued the low wage index hospital policy.
    For FY 2026, we established a payment transition with a budget 
neutrality adjustment for hospitals significantly impacted by the 
discontinuation of the low wage index hospital policy. The transitional 
payment exception for FY 2026 was equal to the additional FY 2026 
amount the hospital would be paid under the IPPS if its FY 2026 wage 
index were equal to 90.25 percent of its FY 2024 wage index. Under that 
transitional policy, we made a budget neutral equivalent exception 
under the capital IPPS for FY 2026. We refer readers to the FY 2026 
IPPS/LTCH PPS final rule (90 FR 37234 through 37235) for a full 
discussion on the FY 2026 transitional payment exception under the 
capital IPPS.

[[Page 19819]]

    As discussed in III.F.6 of this proposed rule, we recognize that 
some hospitals that previously benefitted from the low wage index 
hospital policy would experience decreases of 15 percent or more over 
the three years from their FY 2024 wage index (with the low wage index 
hospital policy applied) to their FY 2027 wage index. Therefore, in 
addition to our 5-percent wage index cap policy at 42 CFR 412.64(h)(7), 
we are proposing to extend the transitional exception to the 
calculation of payments for FY 2027 for hospitals significantly 
impacted by the discontinuation of the low wage index hospital policy 
in a budget neutral manner. The transitional payment exception will end 
when the impact of discontinuing the low wage index hospital policy is 
mitigated and the hospital's wage index decrease is less than 95 
percent for each year since 2024 (also expressed as 0.95-n, with n 
being the number of years since FY 2024). Specifically, for FY 2027, 
for hospitals that benefitted from the low wage index hospital policy 
in FY 2024 and whose FY 2027 wage index is decreasing by more than 
14.2625 percent from the hospital's FY 2024 wage index, we would 
continue a transitional payment exception for FY 2027 for that hospital 
that would be equal to the additional FY 2027 amount the hospital would 
be paid under the IPPS if its FY 2027 wage index were equal to 85.7375 
percent of its FY 2024 wage index. Under this proposed policy, we are 
making a budget neutral equivalent exception under the capital IPPS. In 
this section, we refer to this proposed policy as the transition for 
the discontinuation of the low wage index hospital policy.
    As referenced previously, beginning in FY 2023, we finalized at 42 
CFR 412.64(h)(7) a 5-percent cap on any decrease to a hospital's wage 
index from its wage index in the prior FY regardless of the 
circumstances causing the decline. That is, under this policy, a 
hospital's wage index value would not be less than 95 percent of its 
prior year value (87 FR 49018 through 49021). In this section, we refer 
to our policy to place a 5-percent cap on any decrease in a hospital's 
wage index from the hospital's final wage index in the prior fiscal 
year as the 5-percent cap on wage index decreases policy. We note that 
the proposed transitional payment exception for FY 2027 discussed 
previously would be applied after the application of the 5-percent cap 
on wage index decreases policy.
    For this proposed rule, we propose to use a 2-step methodology for 
computing the budget neutrality factor for changes in the GAFs in light 
of the effect of those proposed wage index changes on the GAFs. In the 
first step, we calculate a factor to ensure budget neutrality for 
changes to the GAFs due to the update to the wage data, wage index 
reclassifications and redesignations, and application of the rural 
floor policy, consistent with our historical GAF budget neutrality 
factor methodology. In the second step, we calculate a factor to ensure 
budget neutrality for changes to the GAFs due to the 5-percent cap on 
wage index decreases policy and the proposed transition for the 
discontinuation of the low wage index hospital policy.
    The budget neutrality factors applied for changes to the GAFs due 
to the update to the wage data, wage index reclassifications and 
redesignations, and application of the rural floor policy are built 
permanently into the capital Federal rate; that is, they are applied 
cumulatively in determining the capital Federal rate. However, the 
budget neutrality factor for the 5-percent cap on wage index decreases 
policy and the transition for the discontinuation of the low wage index 
hospital policy is not permanently built into the capital Federal rate. 
This is because the GAFs with 5-percent cap on wage index decreases 
policy and the transition for the discontinuation of the low wage index 
hospital policy applied from the previous year are not used in the 
budget neutrality factor calculations for the current year. 
Accordingly, and consistent with this approach, prior to calculating 
the proposed GAF budget neutrality factors for FY 2027, we removed from 
the capital Federal rate the budget neutrality factor applied in FY 
2026 for the 5-percent cap on wage index decreases policy and the 
transition for the discontinuation of the low wage index hospital 
policy. Specifically, we divided the capital Federal rate by the FY 
2026 budget neutrality factor of 0.9989 (90 FR 37235 through 37236). 
(We refer the reader to the FY 2022 IPPS/LTCH PPS final rule (86 FR 
45552) for additional discussion on our policy of removing from the 
capital Federal rate the prior year budget neutrality factor(s) that 
are not used in the budget neutrality factor calculations for the 
current year.)
    We discuss our 2-step calculation of the proposed GAF budget 
neutrality factors for FY 2027 as follows. To determine the GAF budget 
neutrality factors for FY 2027, we first compared estimated aggregate 
capital Federal rate payments based on the FY 2026 MS-DRG 
classifications and relative weights and the FY 2026 GAFs to estimated 
aggregate capital Federal rate payments based on the FY 2026 MS-DRG 
classifications and relative weights and the FY 2027 GAFs without 
incorporating the 5-percent cap on wage index decreases policy and the 
proposed transition for the discontinuation of the low wage index 
hospital policy. To achieve budget neutrality for these proposed 
changes in the GAFs, we calculated an incremental GAF budget neutrality 
adjustment factor of 1.0156 for FY 2027.
    Next, we compared estimated aggregate capital Federal rate payments 
based on the proposed FY 2027 GAFs with and without the 5-percent cap 
on wage index decreases policy and the proposed transition for the 
discontinuation of the low wage index hospital policy. For this 
calculation, estimated aggregate capital Federal rate payments were 
calculated using the proposed FY 2027 MS-DRG classifications and 
relative weights (after application of the 10-percent cap discussed 
later in this section) and the proposed FY 2027 GAFs (both with and 
without the 5-percent cap on wage index decreases policy and the 
proposed transition for the discontinuation of the low wage index 
hospital policy). (We note, for this calculation the GAFs included the 
imputed floor, out-migration, and Frontier State adjustments.) To 
achieve budget neutrality for the effects of the 5-percent cap on wage 
index decreases policy and the proposed transition for the 
discontinuation of the low wage index hospital policy on the FY 2027 
GAFs, we calculated an incremental GAF budget neutrality adjustment 
factor of 0.9913.
    The budget neutrality factor for the 5-percent cap on wage index 
decreases policy and the proposed transition for the discontinuation of 
the low wage index hospital policy is not permanently built into the 
capital Federal rate. Consistent with this, we present the budget 
neutrality factor for the 5-percent cap on wage index decreases policy 
and the proposed transition for the discontinuation of the low wage 
index hospital policy calculated under the second step of this 2-step 
methodology separately from the other budget neutrality factors in the 
discussion that follows, and this factor is not included in the 
calculation of the proposed combined GAF/DRG adjustment factor 
described later in this section.
    In the FY 2023 IPPS/LTCH PPS final rule, we finalized a permanent 
10-percent cap on the reduction in an MS-DRG's relative weight in a 
given fiscal year, beginning in FY 2023. Consistent with our historical 
methodology for adjusting the capital standard Federal

[[Page 19820]]

rate to ensure that the effects of the annual DRG reclassification and 
the recalibration of DRG weights are budget neutral under Sec.  
412.308(c)(4)(ii), we finalized to apply an additional budget 
neutrality factor to the capital standard Federal rate so that the 10-
percent cap on decreases in an MS-DRG's relative weight is implemented 
in a budget neutral manner (87 FR 49436). Specifically, we augmented 
our historical methodology for computing the budget neutrality factor 
for the annual DRG reclassification and recalibration by computing a 
budget neutrality adjustment for the annual DRG reclassification and 
recalibration in two steps. We first calculate a budget neutrality 
factor to account for the annual DRG reclassification and recalibration 
prior to the application of the 10-percent cap on MS-DRG relative 
weight decreases. Then we calculate an additional budget neutrality 
factor to account for the application of the 10-percent cap on MS-DRG 
relative weight decreases.
    To determine the proposed DRG budget neutrality factors for FY 
2027, we first compared estimated aggregate capital Federal rate 
payments based on the FY 2026 MS-DRG classifications and relative 
weights to estimated aggregate capital Federal rate payments based on 
the proposed FY 2027 MS-DRG classifications and relative weights prior 
to the application of the 10-percent cap. For these calculations, 
estimated aggregate capital Federal rate payments were calculated using 
the proposed FY 2027 GAFs without the 5-percent cap on wage index 
decreases policy and the proposed transition for the discontinuation of 
the low wage index hospital policy. The proposed incremental adjustment 
factor for DRG classifications and changes in relative weights prior to 
the application of the 10-percent cap is 0.9986. Next, we compared 
estimated aggregate capital Federal rate payments based on the proposed 
FY 2027 MS-DRG classifications and relative weights prior to the 
application of the 10-percent cap to estimated aggregate capital 
Federal rate payments based on the proposed FY 2027 MS-DRG 
classifications and relative weights after the application of the 10-
percent cap. For these calculations, estimated aggregate capital 
Federal rate payments were also calculated using the proposed FY 2027 
GAFs without the 5 percent cap on wage index decreases policy and the 
proposed transition for the discontinuation of the low wage index 
hospital policy. The proposed incremental adjustment factor for the 
application of the 10-percent cap on relative weight decreases is 
0.9998. Therefore, to achieve budget neutrality for the proposed FY 
2027 MS-DRG reclassification and recalibration (including the 10-
percent cap), based on the calculations described previously, we 
applied a proposed incremental budget neutrality adjustment factor of 
0.9983 (0.9986 x 0.9998) for FY 2027 to the capital Federal rate. We 
note that all the values are calculated with unrounded numbers.
    The proposed incremental adjustment factor for the proposed FY 2027 
MS-DRG reclassification and recalibration (0.9983) and for changes in 
the proposed FY 2027 GAFs due to the update to the wage data, wage 
index reclassifications and redesignations, and application of the 
rural floor policy (1.0156) is 1.0139 (0.9983 x 1.0156). This 
incremental adjustment factor is built permanently into the capital 
Federal rates.
    To achieve budget neutrality for the effects of the 5-percent cap 
on wage index decreases policy and the proposed transition for the 
discontinuation of the low wage index hospital policy on the FY 2027 
GAFs, as described previously, we calculated a proposed budget 
neutrality adjustment factor of 0.9913 for FY 2027. We refer to this 
proposed budget neutrality factor for the remainder of this section as 
the cap/transition adjustment factor.
    We applied the proposed budget neutrality adjustment factors 
described previously to the capital Federal rate. This follows the 
requirement under Sec.  412.308(c)(4)(ii) that estimated aggregate 
payments each year be no more or less than they would have been in the 
absence of the annual DRG reclassification and recalibration and 
changes in the GAFs.
    The methodology used to determine the recalibration and geographic 
adjustment factor (GAF/DRG) budget neutrality adjustment is similar to 
the methodology used in establishing budget neutrality adjustments 
under the IPPS for operating costs. One difference is that, under the 
operating IPPS, the budget neutrality adjustments for the effect of 
updates to the wage data, wage index reclassifications and 
redesignations, and application of the rural floor policy are 
determined separately. Under the capital IPPS, there is a single budget 
neutrality adjustment factor for changes in the GAF that result from 
updates to the wage data, wage index reclassifications and 
redesignations, and application of the rural floor policy. In addition, 
there is no adjustment for the effects that geographic 
reclassification, the 5-percent cap on wage index decreases policy, or 
the proposed transition for the discontinuation of the low wage index 
hospital policy described previously have on the other payment 
parameters, such as the payments for DSH or IME.
    The proposed incremental GAF/DRG adjustment factor of 1.0139 
accounts for the proposed MS-DRG reclassifications and recalibration 
(including application of the 10-percent cap on relative weight 
decreases) and for changes in the proposed GAFs that result from 
proposed updates to the wage data, the effects on the GAFs of FY 2027 
geographic reclassification decisions made by the MGCRB compared to FY 
2026 decisions, and the application of the rural floor policy. The 
proposed cap/transition adjustment factor of 0.9913 accounts for 
changes that result from the 5-percent cap on wage index decreases 
policy and the proposed transition for the discontinuation of the low 
wage index hospital policy. However, these factors do not account for 
changes in payments due to changes in the DSH and IME adjustment 
factors.
4. Capital Federal Rate for FY 2027
    For FY 2026, we established a capital Federal rate of $524.15 (90 
FR 37236). We are proposing to establish an update of 3.1 percent in 
determining the FY 2027 capital Federal rate for all hospitals. As a 
result of this proposed update and the budget neutrality factors 
discussed earlier, we are proposing to establish a national capital 
Federal rate of $545.22 for FY 2027. The proposed national capital 
Federal rate for FY 2027 was calculated as follows:
     The proposed FY 2027 update factor is 1.031; that is, the 
proposed update is 3.1 percent.
     The proposed FY 2027 GAF/DRG budget neutrality adjustment 
factor that is applied to the capital Federal rate for changes in the 
MS-DRG classifications and relative weights (including application of 
the 10-percent cap on relative weight decreases) and changes in the 
GAFs that result from updates to the wage data, wage index 
reclassifications and redesignations, and application of the rural 
floor policy is 1.0139.
     The proposed FY 2027 cap/transition budget neutrality 
adjustment factor that is applied to the capital Federal rate for 
changes due to the 5-percent cap on wage index decreases policy and the 
proposed transition for the discontinuation of the low wage index 
hospital policy is 0.9913.
     The proposed FY 2027 outlier adjustment factor is 0.9642.
    We are providing the following chart that shows how each of the 
proposed

[[Page 19821]]

factors and adjustments for FY 2027 affects the computation of the 
proposed FY 2027 national capital Federal rate in comparison to the FY 
2026 national capital Federal rate. The proposed FY 2027 update factor 
has the effect of increasing the capital Federal rate by 3.1 percent 
compared to the FY 2026 capital Federal rate. The proposed GAF/DRG 
budget neutrality adjustment factor has the effect of increasing the 
capital Federal rate by 1.39 percent. The proposed FY 2027 cap/
transition budget neutrality adjustment factor has the effect of 
decreasing the capital Federal rate by 0.77 percent compared to the FY 
2026 capital Federal rate. The proposed FY 2027 outlier adjustment 
factor has the effect of increasing the capital Federal rate by 0.27 
percent compared to the FY 2026 capital Federal rate. The combined 
effect of all the proposed changes would increase the national capital 
Federal rate by approximately 4.02 percent, compared to the FY 2026 
national capital Federal rate.
[GRAPHIC] [TIFF OMITTED] TP14AP26.238

B. Calculation of the Proposed Inpatient Capital Related-Prospective 
Payments for FY 2027
    For purposes of calculating payments for each discharge during FY 
2027, the capital Federal rate is adjusted as follows: (Standard 
Federal Rate) x (DRG weight) x (GAF) x (COLA for hospitals located in 
Alaska and Hawaii) x (1 + DSH Adjustment Factor + IME Adjustment 
Factor, if applicable). The result is the adjusted capital Federal 
rate.
    Hospitals also may receive outlier payments for those cases that 
qualify under the threshold established for each fiscal year. Section 
412.312(c) provides for a shared threshold to identify outlier cases 
for both inpatient operating and inpatient capital-related payments. 
The proposed outlier threshold for FY 2027 is in section II.A. of this 
Addendum. For FY 2027, a case will qualify as a cost outlier if the 
cost for the case is greater than the prospective payment rates for the 
MS-DRG plus IME and DSH payments (including the empirically justified 
Medicare DSH payment and the estimated uncompensated care payment), 
estimated supplemental payment for eligible IHS/Tribal hospitals and 
Puerto Rico hospitals, and any add-on payments for new technology, plus 
the proposed fixed-loss amount of $51,679.
    Currently, as provided under Sec.  412.304(c)(2), we pay a new 
hospital 85 percent of its reasonable costs during the first 2 years of 
operation, unless it elects to receive payment based on 100 percent of 
the capital Federal rate. Effective with the third year of operation, 
we pay the hospital based on 100 percent of the capital Federal rate 
(that is, the same methodology used to pay all other hospitals subject 
to the capital PPS).

C. Capital Input Price Index

1. Background
    Like the operating input price index, the capital input price index 
(CIPI) is a fixed weight price index that measures the price changes 
associated with capital costs during a given year. The CIPI differs 
from the operating input price index in one important aspect, the CIPI 
reflects the vintage nature of capital, which is the acquisition and 
use of capital over time. Capital expenses in any given year are 
determined by the stock of capital in that year (that is, capital that 
remains on hand from all current and prior capital acquisitions). An 
index measuring capital price changes needs to reflect this vintage 
nature of capital. Therefore, the CIPI was developed to capture the 
vintage nature of capital by using a weighted average of past capital 
purchase prices up to and including the current year.
    For this proposed rule, we are proposing to use the IPPS operating 
and capital market baskets that reflect a 2023 base year. For a 
complete discussion of the rebasing of the IPPS operating and capital 
market baskets, we refer readers to section IV. of the preamble of the 
FY 2026 IPPS/LTCH PPS final rule (90 FR 36859 through 36879).
2. Forecast of the CIPI for FY 2027
    Based on IHS Global Inc.'s fourth quarter 2025 forecast, for this 
proposed rule, we are forecasting the 2023-based CIPI to increase 2.8 
percent in FY 2027. This reflects a projected 3.3 percent increase in 
vintage-weighted depreciation prices (building and fixed equipment, and 
movable equipment), a projected 0.5 percent increase in vintage-
weighted interest expense prices and a projected 3.0 percent increase 
in other capital expense prices in FY 2027. The weighted average of 
these three factors produces the forecasted 2.8 percent increase for 
the 2023-based CIPI in FY 2027.
    We are also proposing that if more recent data become available 
(for example, a more recent estimate of the percentage increase in the 
2023-based CIPI), we would use such data, if appropriate, to determine 
the FY 2027 capital update factor for the final rule.

[[Page 19822]]

IV. Proposed Changes to Payment Rates for Excluded Hospitals: Rate-of-
Increase Percentages for FY 2027

    Payments for services furnished in children's hospitals, 11 cancer 
hospitals, and hospitals located outside the 50 States, the District of 
Columbia and Puerto Rico (that is, short-term acute care hospitals 
located in the U.S. Virgin Islands, Guam, the Northern Mariana Islands, 
and American Samoa) that are excluded from the IPPS are paid on the 
basis of reasonable costs based on the hospital's own historical cost 
experience, subject to a rate-of-increase ceiling. A per discharge 
limit (the target amount, as defined in Sec.  413.40(a) of the 
regulations) is set for each hospital, based on the hospital's own cost 
experience in its base year, and updated annually by a rate-of-increase 
percentage specified in Sec.  413.40(c)(3). In addition, as specified 
in the FY 2018 IPPS/LTCH PPS final rule (82 FR 38536), effective for 
cost reporting periods beginning during FY 2018, the annual update to 
the target amount for extended neoplastic disease care hospitals 
(hospitals described in Sec.  412.22(i) of the regulations) also is the 
rate-of-increase percentage specified in Sec.  413.40(c)(3). (We note 
that, in accordance with Sec.  403.752(a), religious nonmedical health 
care institutions (RNHCIs) are also subject to the rate-of-increase 
limits established under Sec.  413.40 of the regulations.)
    For this FY 2027 IPPS/LTCH PPS proposed rule, based on IGI's 2025 
fourth quarter forecast, we estimate that the 2023-based IPPS operating 
market basket percentage increase for FY 2027 is 3.2 percent (that is, 
the estimate of the market basket rate-of-increase). Based on this 
estimate, the proposed FY 2027 rate-of-increase percentage that will be 
applied to the FY 2026 target amounts in order to calculate the 
proposed FY 2027 target amounts for children's hospitals, the 11 cancer 
hospitals, RNCHIs, short-term acute care hospitals located in the U.S. 
Virgin Islands, Guam, the Northern Mariana Islands, and American Samoa, 
and extended neoplastic disease care hospitals is 3.2 percent, in 
accordance with the applicable regulations at 42 CFR 413.40. We are 
also proposing that if more recent data become available (for example a 
more recent estimate of the market basket rate-of-increase), we would 
use such data, if appropriate, to calculate the final IPPS operating 
market basket update for FY 2027.
    IRFs and rehabilitation distinct part units, IPFs and psychiatric 
units, and LTCHs are excluded from the IPPS and paid under their 
respective PPSs. The IRF PPS, the IPF PPS, and the LTCH PPS are updated 
annually. We refer readers to section IX. of the preamble and section 
V. of the Addendum of this proposed rule for the changes to the Federal 
payment rates for LTCHs under the LTCH PPS for FY 2027. The annual 
updates for the IRF PPS and the IPF PPS are issued by the agency in 
separate Federal Register documents.

V. Proposed Changes to the Payment Rates for the LTCH PPS for FY 2027

A. Proposed LTCH PPS Standard Federal Payment Rate for FY 2027

1. Overview
    In section VIII. of the preamble of this proposed rule, we discuss 
our annual updates to the payment rates, factors, and specific policies 
under the LTCH PPS for FY 2027.
    Under Sec.  412.523(c)(3) of the regulations, for FY 2012 and 
subsequent years, we updated the standard Federal payment rate by the 
most recent estimate of the LTCH PPS market basket at that time, 
including additional statutory adjustments required by sections 
1886(m)(3) (citing sections 1886(b)(3)(B)(xi)(II) and 1886(m)(4) of the 
Act as set forth in the regulations at Sec.  412.523(c)(3)(viii) 
through (xvii)). (For a summary of the payment rate development prior 
to FY 2012, we refer readers to the FY 2018 IPPS/LTCH PPS final rule 
(82 FR 38310 through 38312) and references therein.)
    Section 1886(m)(3)(A) of the Act specifies that, for rate year 2012 
and each subsequent rate year, any annual update to the standard 
Federal payment rate shall be reduced by the productivity adjustment 
described in section 1886(b)(3)(B)(xi)(II) of the Act as discussed in 
section IX.C.2. of the preamble of this proposed rule. This section of 
the Act further provides that the application of section 1886(m)(3)(B) 
of the Act may result in the annual update being less than zero for a 
rate year, and may result in payment rates for a rate year being less 
than such payment rates for the preceding rate year. (As noted in 
section VIII.C.2. of the preamble of this proposed rule, the annual 
update to the LTCH PPS occurs on October 1 and we have adopted the term 
``fiscal year'' (FY) rather than ``rate year'' (RY) under the LTCH PPS 
beginning October 1, 2010. Therefore, for purposes of clarity, when 
discussing the annual update for the LTCH PPS, including the provisions 
of the Affordable Care Act, we use the term ``fiscal year'' rather than 
``rate year'' for 2011 and subsequent years.)
    For LTCHs that fail to submit the required quality reporting data 
in accordance with the LTCH QRP, the annual update is reduced by 2.0 
percentage points as required by section 1886(m)(5) of the Act.
2. Development of the Proposed FY 2027 LTCH PPS Standard Federal 
Payment Rate
    Consistent with our historical practice and Sec.  
412.523(c)(3)(xvii), for FY 2027, we are proposing to apply the annual 
update to the LTCH PPS standard Federal payment rate from the previous 
year. Furthermore, in determining the proposed LTCH PPS standard 
Federal payment rate for FY 2027, we also are proposing to make certain 
regulatory adjustments, consistent with past practices. Specifically, 
in determining the proposed FY 2027 LTCH PPS standard Federal payment 
rate, we are proposing to apply a budget neutrality adjustment factor 
for the changes related to the area wage level adjustment (that is, 
changes to the wage data and labor-related share) as discussed in 
section V.B.6. of this Addendum.
    In this proposed rule, we are proposing to establish an annual 
update to the LTCH PPS standard Federal payment rate of 2.4 percent 
(that is, the most recent estimate of the 2022-based LTCH market basket 
increase of 3.2 percent less the proposed productivity adjustment of 
0.8 percentage point). Therefore, in accordance with Sec.  
412.523(c)(3)(xvii), we are proposing to apply an update factor of 
1.024 to the FY 2026 LTCH PPS standard Federal payment rate of 
$50,824.51 to determine the proposed FY 2027 LTCH PPS standard Federal 
payment rate. Also, in accordance with Sec.  412.523(c)(3)(xvii) and 
(c)(4), we are required to reduce the annual update to the LTCH PPS 
standard Federal payment rate by 2.0 percentage points for LTCHs that 
fail to submit the required quality reporting data for FY 2027 as 
required under the LTCH QRP. Therefore, for LTCHs that fail to submit 
quality reporting data under the LTCH QRP, we are proposing to 
establish an annual update to the LTCH PPS standard Federal payment 
rate of 0.4 percent (or an update factor of 1.004). This proposed 
update reflects the proposed annual market basket update of 3.2 percent 
reduced by the proposed 0.8 percentage point productivity adjustment, 
as required by section 1886(m)(3)(A)(i) of the Act, minus 2.0 
percentage points for LTCHs failing to submit quality data under the 
LTCH QRP, as required by section 1886(m)(5) of the Act. Consistent with 
Sec.  412.523(d)(4), we are proposing to apply an area wage level 
budget neutrality factor to the FY 2027 LTCH PPS standard Federal 
payment rate of

[[Page 19823]]

1.0025505, based on the best available data at this time, to ensure 
that any proposed changes to the area wage level adjustment (that is, 
the proposed annual update of the wage index (including application of 
the 5-percent cap on wage index decreases, discussed later in this 
section), and proposed labor-related share) would not result in any 
change (increase or decrease) in estimated aggregate LTCH PPS standard 
Federal payment rate payments. Accordingly, we are proposing to 
establish an LTCH PPS standard Federal payment rate of $52,177.04 
(calculated as $50,824.51 x 1.024 x 1.0025505) for FY 2027. For LTCHs 
that fail to submit quality reporting data for FY 2027, in accordance 
with the requirements of the LTCH QRP under section 1866(m)(5) of the 
Act, we are proposing to establish an LTCH PPS standard Federal payment 
rate of $51,157.95 (calculated as $50,824.51 x 1.004 x 1.0025505) for 
FY 2027.

B. Proposed Adjustment for Area Wage Levels Under the LTCH PPS for FY 
2027

1. Background
    Under the authority of section 123 of the BBRA, as amended by 
section 307(b) of the BIPA, we established an adjustment to the LTCH 
PPS standard Federal payment rate to account for differences in LTCH 
area wage levels under Sec.  412.525(c). The labor-related share of the 
LTCH PPS standard Federal payment rate is adjusted to account for 
geographic differences in area wage levels by applying the applicable 
LTCH PPS wage index. The applicable LTCH PPS wage index is computed 
using wage data from inpatient acute care hospitals without regard to 
reclassification under section 1886(d)(8) or section 1886(d)(10) of the 
Act.
    The proposed FY 2027 LTCH PPS standard Federal payment rate wage 
index values that would be applicable for LTCH PPS standard Federal 
payment rate discharges occurring on or after October 1, 2026, through 
September 30, 2027, are presented in Table 12A (for urban areas) and 
Table 12B (for rural areas), which are listed in section VI. of this 
Addendum and available via the internet on the CMS website.
2. Proposed Geographic Classifications (Labor Market Areas) under the 
LTCH PPS
    In adjusting for the differences in area wage levels under the LTCH 
PPS, the labor-related portion of an LTCH's Federal prospective payment 
is adjusted by using an appropriate area wage index based on the 
geographic classification (labor market area) in which the LTCH is 
located. Specifically, the application of the LTCH PPS area wage level 
adjustment under existing Sec.  412.525(c) is made based on the 
location of the LTCH--either in an ``urban area,'' or a ``rural area,'' 
as defined in Sec.  412.503. Under Sec.  412.503, an ``urban area'' is 
defined as a Metropolitan Statistical Area (MSA) (which includes a 
Metropolitan division, where applicable), as defined by OMB, and a 
``rural area'' is defined as any area outside of an urban area.
    The geographic classifications (labor market area definitions) 
currently used under the LTCH PPS are based on the Core Based 
Statistical Areas (CBSAs) established by OMB. In the July 16, 2021, 
Federal Register (86 FR 37777), OMB finalized a schedule for future 
updates based on results of the decennial Census updates to commuting 
patterns from the American Community Survey. In accordance with that 
schedule, on July 21, 2023, OMB released Bulletin No. 23-01. According 
to OMB, the delineations reflect the 2020 Standards for Delineating 
Core Based Statistical Areas (``the 2020 Standards''), which appeared 
in the Federal Register on July 16, 2021 (86 FR 37770 through 37778), 
and the application of those standards to Census Bureau population and 
journey-to-work data (that is, 2020 Decennial Census, American 
Community Survey, and Census Population Estimates Program data). A copy 
of OMB Bulletin No. 23-01 may be obtained at https://www.whitehouse.gov/wp-content/uploads/2023/07/OMB-Bulletin-23-01.pdf.
    In the FY 2025 IPPS/LTCH PPS final rule, we stated that we believe 
that adopting the CBSA-based labor market area delineations established 
in OMB Bulletin 23-01 will ensure that the LTCH PPS area wage level 
adjustment most appropriately accounts for and reflects the relative 
hospital wage levels in the geographic area of the hospital as compared 
to the national average hospital wage level based on the best available 
data that reflect the local economies and area wage levels of the 
hospitals that are currently located in these geographic areas (89 FR 
69974). We also noted that our adoption of the revised delineations 
announced in OMB Bulletin No. 23-01 is consistent with the changes 
under the IPPS for FY 2025. Therefore, in that same final rule, we 
adopted the updates set forth in OMB Bulletin No. 23-01, under the 
authority of section 123 of the BBRA, as amended by section 307(b) of 
the BIPA, for the LTCH PPS effective for FY 2025. We refer readers to 
the FY 2025 IPPS/LTCH PPS final rule (89 FR 69973 through 69975), for a 
full discussion of our implementation of the OMB delineations based on 
OMB Bulletin No. 23-01 for the LTCH PPS. For additional information on 
the CBSA-based labor market area (geographic classification) 
delineations used under the LTCH PPS and the history of the labor 
market area definitions used under the LTCH PPS, we refer readers to 
the FY 2015 IPPS/LTCH PPS final rule (79 FR 50180 through 50185).
    We continue to believe that the CBSA-based labor market area 
delineations, as established in OMB Bulletin 23-01, would ensure that 
the LTCH PPS area wage level adjustment most appropriately accounts for 
and reflects the relative hospital wage levels in the geographic area 
of the hospital as compared to the national average hospital wage level 
based on the best available data that reflect the local economies and 
area wage levels of the hospitals that are currently located in these 
geographic areas (89 FR 69974). Therefore, for FY 2027, we are 
proposing to continue to use the CBSA-based labor market area 
delineations as established in OMB Bulletin 23-01 and adopted in the FY 
2025 IPPS/LTCH final rule.
    CBSAs are made up of one or more constituent counties. For FY 2027, 
we are proposing to continue using the Federal Information Processing 
Standard (FIPS) county codes, maintained by the U.S. Census Bureau, for 
purposes of crosswalking counties to CBSAs. The current county-to-CBSA 
crosswalk was adopted under the LTCH PPS in the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69973 through 69975) and is located on the CMS 
website at https://www.cms.gov/medicare/payment/prospective-payment-systems/long-term-care-hospital/other-files-download.
3. Proposed Labor-Related Share for the LTCH PPS Standard Federal 
Payment Rate
    Under the payment adjustment for the differences in area wage 
levels under Sec.  412.525(c), the labor-related share of an LTCH's 
standard Federal payment rate is adjusted by the applicable wage index 
for the labor market area in which the LTCH is located. The LTCH PPS 
labor-related share currently represents the sum of the labor-related 
portion of operating costs and a labor-related portion of capital costs 
using the applicable LTCH market basket. Additional background 
information on the historical development of the labor-related share 
under the LTCH PPS can be found in the RY 2007 LTCH PPS final rule (71 
FR 27810 through 27817 and

[[Page 19824]]

27829 through 27830) and the FY 2012 IPPS/LTCH PPS final rule (76 FR 
51766 through 51769 and 51808).
    Effective FY 2025, we rebased and revised the 2017-based LTCH 
market basket to reflect a 2022 base year and determined the labor-
related share annually as the sum of the relative importance of each 
labor-related cost category in the 2022-based LTCH market basket using 
the most recent available data. (For more details, we refer readers to 
the FY 2025 IPPS/LTCH PPS final rule (89 FR 69435 through 69455).)
    In this proposed rule, consistent with our historical practice, we 
are proposing that the LTCH PPS labor-related share for FY 2027 would 
be the sum of the FY 2027 relative importance of each labor-related 
cost category in the LTCH market basket using the most recent available 
data. Specially, we are proposing that the labor-related share for FY 
2027 is the sum of the labor-related portion of operating costs from 
the 2022-based LTCH market basket (that is, the sum of the FY 2027 
relative importance shares of Wages and Salaries; Employee Benefits; 
Professional Fees: Labor-Related; Administrative and Facilities Support 
Services; Installation, Maintenance, and Repair Services; All Other: 
Labor-Related Services) and a portion of the relative importance of 
Capital-Related cost weight from the 2022-based LTCH market basket. The 
relative importance reflects the different rates of price change for 
these cost categories between the base year (2022) and FY 2027. Based 
on IHS Global Inc.'s fourth quarter 2025 forecast of the 2022-based 
LTCH market basket, the sum of the FY 2027 relative importance for 
Wages and Salaries; Employee Benefits; Professional Fees: Labor-
Related; Administrative and Facilities Support Services; Installation, 
Maintenance, and Repair Services; and All Other: Labor-Related Services 
was 69.1 percent. The portion of capital-related costs that is 
influenced by the local labor market was estimated to be 46 percent 
(that was, the same percentage applied to the 2009-based, 2013-based, 
and 2017-based LTCH market basket capital-related costs relative 
importance). Since the FY 2027 relative importance for capital-related 
costs was 8.4 percent based on IHS Global Inc.'s fourth quarter 2025 
forecast of the 2022-based LTCH market basket, we took 46 percent of 
8.4 percent to determine the labor-related share of capital-related 
costs for FY 2027 of 3.9 percent. Therefore, we are proposing a total 
labor-related share for FY 2027 of 73.0 percent (the sum of 69.1 
percent for the labor-related share of operating costs and 3.9 percent 
for the labor-related share of capital-related costs). Consistent with 
our historical practice, we are proposing that if more recent data 
become available after the publication of the proposed rule and before 
the publication of the final rule (for example, a more recent estimate 
of the relative importance of each labor-related cost category of the 
2022-based LTCH market basket), we would use such data, if appropriate, 
to determine the FY 2027 LTCH PPS labor-related share.
4. Proposed Wage Index for FY 2027 for the LTCH PPS Standard Federal 
Payment Rate
    Historically, we have established LTCH PPS area wage index values 
calculated from acute care IPPS hospital wage data without taking into 
account geographic reclassification under sections 1886(d)(8) and 
1886(d)(10) of the Act (67 FR 56019). The area wage level adjustment 
established under the LTCH PPS is based on an LTCH's actual location 
without regard to the ``urban'' or ``rural'' designation of any related 
or affiliated provider. As with the IPPS wage index, wage data for 
multicampus hospitals with campuses located in different labor market 
areas (CBSAs) are apportioned to each CBSA where the campus (or 
campuses) are located. We also employ a policy for determining area 
wage index values for areas where there are no IPPS wage data.
    Consistent with our historical methodology, to determine the 
applicable area wage index values for the FY 2027 LTCH PPS standard 
Federal payment rate, under the broad authority of section 123 of the 
BBRA, as amended by section 307(b) of the BIPA, we are proposing to 
continue to employ our historical practice of using the same data we 
used to compute the proposed FY 2027 acute care hospital inpatient wage 
index, as discussed in section III. of the preamble of this proposed 
rule (that is, wage data collected from cost reports submitted by IPPS 
hospitals for cost reporting periods beginning during FY 2023) because 
these data are the most recent complete data available.
    In addition, we are proposing to compute the FY 2027 LTCH PPS 
standard Federal payment rate area wage index values consistent with 
the ``urban'' and ``rural'' geographic classifications (that is, the 
proposed labor market area delineations as previously discussed in 
section V.B. of this Addendum) and our historical policy of not taking 
into account IPPS geographic reclassifications under sections 
1886(d)(8) and 1886(d)(10) of the Act in determining payments under the 
LTCH PPS. We are also proposing to continue to apportion the wage data 
for multicampus hospitals with campuses located in different labor 
market areas to each CBSA where the campus or campuses are located, 
consistent with the IPPS policy. Lastly, consistent with our existing 
methodology for determining the LTCH PPS wage index values, for FY 
2027, we are proposing to continue to use our existing policy for 
determining area wage index values for areas where there are no IPPS 
wage data. Under our existing methodology, the LTCH PPS wage index 
value for urban CBSAs with no IPPS wage data is determined by using an 
average of all of the urban areas within the State, and the LTCH PPS 
wage index value for rural areas with no IPPS wage data is determined 
by using the unweighted average of the wage indices from all of the 
CBSAs that are contiguous to the rural counties of the State.
    Based on the FY 2023 IPPS wage data that we are proposing to use to 
determine the FY 2027 LTCH PPS area wage index values in this proposed 
rule, there are no IPPS wage data for the urban area of Hinesville, GA 
(CBSA 25980). Consistent with our existing methodology, we calculated 
the proposed FY 2027 wage index value for CBSA 25980 as the average of 
the wage index values for all of the other urban areas within the State 
of Georgia (that is, proposed CBSAs 10500, 12020, 12054, 12260, 15260, 
16860, 17980, 19140, 23580, 31420, 31924, 40660, 42340, 46660, and 
47580), as shown in Table 12A, which is listed in section VI. of this 
Addendum.
    Based on the FY 2023 IPPS wage data that we are proposing to use to 
determine the FY 2027 LTCH PPS area wage index values in this proposed 
rule, there are no IPPS wage data for rural North Dakota (CBSA 35). 
Consistent with our existing methodology, we calculated the proposed FY 
2027 wage index value for CBSA 35 as the average of the wage index 
values for all proposed CBSAs that are contiguous to the rural counties 
of the State (that is, proposed CBSAs 13900, 22020, 24220, and 33500), 
as shown in Table 12B, which is listed in section VI. of this Addendum. 
We note that, as IPPS wage data are dynamic, it is possible that the 
number of urban and rural areas without IPPS wage data will vary in the 
future.
5. Cap on Wage Index Decreases
a. Cap on LTCH PPS Wage Index Decreases
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49440 through 
49442), we finalized a policy that applies a permanent 5-percent cap on 
any

[[Page 19825]]

decrease to an LTCH's wage index from its wage index in the prior year. 
Consistent with the requirement at Sec.  412.525(c)(2) that changes to 
area wage level adjustments are made in a budget neutral manner, we 
include the application of this policy in the determination of the area 
wage level budget neutrality factor that is applied to the standard 
Federal payment rate, as is discussed later in section V.B.6. of this 
Addendum.
    Under this policy, an LTCH's wage index will not be less than 95 
percent of its wage index for the prior fiscal year. An LTCH's wage 
index cap adjustment is determined based on the wage index value 
applicable to the LTCH on the last day of the prior Federal fiscal 
year. However, for newly opened LTCHs that become operational on or 
after the first day of the fiscal year, these LTCHs will not be subject 
to the LTCH PPS wage index cap since they were not paid under the LTCH 
PPS in the prior year. For example, newly opened LTCHs that become 
operational during FY 2027 would not be eligible for the LTCH PPS wage 
index cap in FY 2027. These LTCHs would receive the calculated wage 
index for the area in which they are geographically located, even if 
other LTCHs in the same geographic area are receiving a wage index cap. 
The cap on wage index decreases policy is reflected at Sec.  
412.525(c)(1).
    For each LTCH we identify in our rulemaking data, we are including 
in a supplemental data file the wage index values from both fiscal 
years used in determining its capped wage index. This includes the 
LTCH's final prior year wage index value, the LTCH's uncapped current 
year wage index value, and the LTCH's capped current year wage index 
value. Due to the lag in rulemaking data, a new LTCH may not be listed 
in this supplemental file for a few years. For this reason, a newly 
opened LTCH could contact their MAC to ensure that its wage index value 
is not less than 95 percent of the value paid to it for the prior 
Federal fiscal year. This supplemental data file for public use will be 
posted on the CMS website for this proposed rule at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html.
b. Cap on IPPS Comparable Wage Index Decreases
    Determining LTCH PPS payments for short-stay-outlier cases 
(reflected in Sec.  412.529) and site neutral payment rate cases 
(reflected in Sec.  412.522(c)) requires calculating an ``IPPS 
comparable amount.'' For information on this ``IPPS comparable amount'' 
calculation, we refer the reader to the FY 2016 IPPS/LTCH PPS final 
rule (80 FR 49608 through 49610). Determining LTCH PPS payments for 
LTCHs that do not meet the applicable discharge payment percentage 
(reflected in Sec.  412.522(d)) requires calculating an ``IPPS 
equivalent amount.'' For information on this ``IPPS equivalent amount'' 
calculation, we refer the reader to the FY 2020 IPPS/LTCH PPS final 
rule (84 FR 42439 through 42445).
    Calculating both the ``IPPS comparable amount'' and the ``IPPS 
equivalent amount'' requires adjusting the IPPS operating and capital 
standardized amounts by the applicable IPPS wage index for 
nonreclassified IPPS hospitals. That is, the standardized amounts are 
adjusted by the IPPS wage index for nonreclassified IPPS hospitals 
located in the same geographic area as the LTCH. In the FY 2023 IPPS/
LTCH PPS final rule (87 FR 49442 through 49443), we finalized a policy 
that applies a permanent 5-percent cap on decreases in an LTCH's 
applicable IPPS comparable wage index from its applicable IPPS 
comparable wage index in the prior year. Historically, we have not 
budget neutralized changes to LTCH PPS payments that result from the 
annual update of the IPPS wage index for nonreclassified IPPS 
hospitals. Consistent with this approach, the cap on decreases in an 
LTCH's applicable IPPS comparable wage index is not applied in a budget 
neutral manner.
    Under this policy, an LTCH's applicable IPPS comparable wage index 
will not be less than 95 percent of its applicable IPPS comparable wage 
index for the prior fiscal year. An LTCH's applicable IPPS comparable 
wage index cap adjustment is determined based on the wage index value 
applicable to the LTCH on the last day of the prior Federal fiscal 
year. However, for newly opened LTCHs that become operational on or 
after the first day of the fiscal year, these LTCHs will not be subject 
to the applicable IPPS comparable wage index cap since they were not 
paid under the LTCH PPS in the prior year. For example, newly opened 
LTCHs that become operational during FY 2027 would not be eligible for 
the applicable IPPS comparable wage index cap in FY 2027. This means 
that these LTCHs would receive the calculated applicable IPPS 
comparable wage index for the area in which they are geographically 
located, even if other LTCHs in the same geographic area are receiving 
a wage cap. The cap on IPPS comparable wage index decreases policy is 
reflected at Sec.  412.529(d)(4)(ii)(B) and (d)(4)(iii)(B).
    Similar to the information we are making available for the cap on 
the LTCH PPS wage index values (described previously), for each LTCH we 
identify in our rulemaking data, we are including in a supplemental 
data file the wage index values from both fiscal years used in 
determining its capped applicable IPPS comparable wage index. Due to 
the lag in rulemaking data, a new LTCH may not be listed in this 
supplemental file for a few years. For this reason, a newly opened LTCH 
could contact its MAC to ensure that its applicable IPPS comparable 
wage index value is not less than 95 percent of the value paid to them 
for the prior Federal fiscal year. This supplemental data file for 
public use will be posted on the CMS website for this proposed rule at: 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html.
6. Proposed Budget Neutrality Adjustments for Changes to the LTCH PPS 
Standard Federal Payment Rate Area Wage Level Adjustment
    Historically, the LTCH PPS wage index and labor-related share are 
updated annually based on the latest available data. Under Sec.  
412.525(c)(2), any changes to the area wage index values or labor-
related share are to be made in a budget neutral manner such that 
estimated aggregate LTCH PPS payments are unaffected; that is, will be 
neither greater than nor less than estimated aggregate LTCH PPS 
payments without such changes to the area wage level adjustment. Under 
this policy, we determine an area wage level adjustment budget 
neutrality factor that is applied to the standard Federal payment rate 
to ensure that any changes to the area wage level adjustments are 
budget neutral such that any changes to the area wage index values or 
labor-related share would not result in any change (increase or 
decrease) in estimated aggregate LTCH PPS payments. Accordingly, under 
Sec.  412.523(d)(4), we have applied an area wage level adjustment 
budget neutrality factor in determining the standard Federal payment 
rate, and we also established a methodology for calculating an area 
wage level adjustment budget neutrality factor. (For additional 
information on the establishment of our budget neutrality policy for 
changes to the area wage level adjustment, we refer readers to the FY 
2012 IPPS/LTCH PPS final rule (76 FR 51771 through 51773 and 51809).)
    For FY 2027, in accordance with Sec.  412.523(d)(4), we are 
proposing to apply an area wage level budget neutrality factor to 
adjust the LTCH PPS

[[Page 19826]]

standard Federal payment rate to account for the estimated effect of 
the adjustments or updates to the area wage level adjustment under 
Sec.  412.525(c)(1) on estimated aggregate LTCH PPS payments, 
consistent with the methodology we established in the FY 2012 IPPS/LTCH 
PPS final rule (76 FR 51773). As discussed in section V.B.5. of this 
Addendum, consistent with, Sec.  412.525(c)(2), we include the 
application of the 5-percent cap on wage index decreases in the 
determination of the proposed area wage level budget neutrality factor. 
Specifically, we are proposing to determine an area wage level 
adjustment budget neutrality factor that is applied to the LTCH PPS 
standard Federal payment rate under Sec.  412.523(d)(4) for FY 2027 
using the following methodology:
    Step 1--Simulate estimated aggregate LTCH PPS standard Federal 
payment rate payments using the FY 2026 wage index values and the FY 
2026 labor-related share of 72.9 percent.
    Step 2--Simulate estimated aggregate LTCH PPS standard Federal 
payment rate payments using the proposed FY 2027 wage index values 
(including the application of the 5-percent cap on wage index 
decreases) and the proposed FY 2027 labor-related share of 73.0 
percent. (As noted previously, the proposed changes to the wage index 
values based on updated hospital wage data are discussed in section 
V.B.4. of this Addendum and the proposed labor-related share is 
discussed in section V.B.3. of this Addendum.)
    Step 3--Calculate the ratio of these estimated total LTCH PPS 
standard Federal payment rate payments by dividing the estimated total 
LTCH PPS standard Federal payment rate payments using the FY 2026 area 
wage level adjustments (calculated in Step 1) by the estimated total 
LTCH PPS standard Federal payment rate payments using the proposed FY 
2027 updates to the area wage level adjustment (calculated in Step 2) 
to determine the proposed budget neutrality factor for updates to the 
area wage level adjustment for FY 2027 LTCH PPS standard Federal 
payment rate payments.
    Step 4--Apply the proposed FY 2027 updates to the area wage level 
adjustment budget neutrality factor from Step 3 to determine the 
proposed FY 2027 LTCH PPS standard Federal payment rate after the 
application of the proposed FY 2027 annual update.
    We are proposing to use the most recent data available, including 
claims from the FY 2025 MedPAR file, in calculating the FY 2027 LTCH 
PPS standard Federal payment rate area wage level adjustment budget 
neutrality factor. We note that, because the area wage level adjustment 
under Sec.  412.525(c) is an adjustment to the LTCH PPS standard 
Federal payment rate, consistent with historical practice, we only used 
data from claims that qualified for payment at the LTCH PPS standard 
Federal payment rate under the dual rate LTCH PPS to calculate the FY 
2027 LTCH PPS standard Federal payment rate area wage level adjustment 
budget neutrality factor.
    For this proposed rule, using the steps in the methodology 
previously described, we determined a proposed FY 2027 LTCH PPS 
standard Federal payment rate area wage level adjustment budget 
neutrality factor of 1.0025505. Accordingly, in section V.A. of this 
Addendum, we applied the proposed area wage level adjustment budget 
neutrality factor of 1.0025505 to determine the proposed FY 2027 LTCH 
PPS standard Federal payment rate, in accordance with Sec.  
412.523(d)(4).

C. Cost-of-Living Adjustment (COLA) for LTCHs Located in Alaska and 
Hawaii

    Under Sec.  412.525(b), a cost-of-living adjustment (COLA) is 
provided for LTCHs located in Alaska and Hawaii to account for the 
higher costs incurred in those States. Specifically, we apply a COLA to 
payments to LTCHs located in Alaska and Hawaii by multiplying the 
nonlabor-related portion of the standard Federal payment rate by the 
applicable COLA factors established annually by CMS. Higher labor-
related costs for LTCHs located in Alaska and Hawaii are taken into 
account in the adjustment for area wage levels.
    For FY 2011 and in prior fiscal years, we used the most recent 
cost-of-living adjustment (COLA) factors obtained from the U.S. Office 
of Personnel Management (OPM) website at https://www.opm.gov/policy-data-oversight/pay-leave/pay-systems/nonforeign-areas/#url=COLA-Rates 
to update this nonlabor portion.
    In the FY 2013 IPPS/LTCH PPS final rule, we established a 
methodology to update the COLA factors for Alaska and Hawaii that were 
published by OPM every 4 years (coinciding with the update to the 
labor-related share of the IPPS market basket), beginning in FY 2014. 
We refer readers to the FY 2013 IPPS/LTCH PPS proposed and final rules 
for additional background and a detailed description of this 
methodology (77 FR 28019 through 28020 and 77 FR 53481 through 53482, 
respectively). In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45559 
through 45560), we updated the COLA factors published by OPM for 2009 
(as these are the last COLA factors OPM published prior to 
transitioning from COLAs to locality pay) using the methodology that we 
finalized in the FY 2013 IPPS/LTCH PPS final rule and Consumer Price 
Indices (CPIs) data through 2020. Based on the policy finalized in the 
FY 2013 IPPS/LTCH PPS final rule, we utilized these COLA factors for 
FYs 2022 through 2025 to adjust the nonlabor-related portion of the 
standard Federal payment rate for LTCHs located in Alaska and Hawaii.
    In general, under our existing methodology, we update the 2009 OPM 
COLA factors by a comparison of the growth in the CPIs for the areas of 
Urban Alaska and Urban Hawaii, relative to the growth in the CPI for 
the average U.S. city as published by the Bureau of Labor Statistics 
(BLS). We use the comparison of the growth in the overall CPI relative 
to the growth in the CPI for those areas to update the COLA factors for 
all areas in Alaska and Hawaii, respectively, because BLS publishes CPI 
data for only Urban Alaska and Urban Hawaii. Using the respective CPI 
commodities index and CPI services index and using the approximate 
commodities/services shares obtained from the IPPS market basket, we 
create reweighted CPIs for each of the respective areas to reflect the 
underlying composition of the IPPS market basket nonlabor-related 
share. Lastly, we exercised our discretionary authority to adjust 
payments to LTCHs in Alaska and Hawaii by incorporating the statutorily 
mandated cap of 25 percent that was applied when determining OPM's COLA 
factors. (For additional information, refer to the FY 2022 IPPS/LTCH 
PPS final rule (86 FR 45559 through 45560).)
    We previously stated our intention to update the COLA factors at 
the same time as the update to the labor-related share of the IPPS 
market basket. In the FY 2026 IPPS/LTCH PPS proposed rule, we proposed 
to update the labor-related share of the IPPS market basket. We also 
stated that at that time, we believed it would be appropriate to 
maintain the current COLA factors for FY 2026 to allow us to consider 
whether it would be appropriate to incorporate additional data sources 
or other methodology changes in determining the COLA factors we apply 
to LTCH PPS payments to account for the unique circumstances of LTCHs 
located in Alaska and Hawaii (90 FR 18448 through 18449). Therefore, we 
proposed to continue to use the FY 2025 COLA factors to adjust the 
nonlabor-related portion of the standard Federal payment rate for LTCHs 
located in Alaska and Hawaii for FY 2026. We solicited comments on any 
possible data

[[Page 19827]]

sources that could be considered in the development of the COLA 
factors.
    Although we received no comments on our FY 2026 LTCH PPS proposal, 
one commenter, as summarized in the FY 2026 IPPS/LTCH PPS final rule 
(90 FR 37230), supported CMS' proposal to maintain the current COLA 
methodology under the IPPS temporarily while we evaluate alternative 
approaches. The commenter requested that CMS utilize a more sensitive 
adjustment to reflect cost variation across Alaska. The commenter 
stated that tying Alaska's COLA to a single urban index does not 
reflect higher costs in more remote areas. The commenter also requested 
that CMS reconsider the 25-percent cap on the COLAs and engage with 
providers during the development of the new methodology. After 
consideration of the public comment we received, we finalized our 
proposal to continue to use the FY 2025 COLA factors to adjust the 
nonlabor-related portion of the standard Federal payment rate for LTCHs 
located in Alaska and Hawaii for FY 2026.
    After further consideration and consistent with the approach 
proposed under the IPPS, effective for FY 2027, we are proposing to 
adjust non-labor related costs for LTCHs located in Alaska and Hawaii, 
using the Overseas Cost-of-Living Allowance (OCOLA) data \563\ 
published by the Department of Defense (DOD). These OCOLAs are received 
by Service members serving outside of the contiguous U.S. (OCONUS) and 
are designed to offset higher prices of non-housing goods and services 
in order to equalize purchasing power with members stationed in the 
contiguous U.S. (CONUS). To calculate the OCOLAs for each OCONUS area, 
DOD currently uses Living Pattern Survey (LPS) data on purchasing 
patterns of Service members (e.g. how and where they purchase certain 
goods and services including whether these are purchased from a 
commissary, retail store, or online) and price data for approximately 
150 goods and services.\564\ The DOD compares the OCONUS LPS and price 
data with similar data obtained in CONUS.
---------------------------------------------------------------------------

    \563\ https://www.travel.dod.mil/Allowances/Overseas-Cost-of-Living-Allowance/.
    \564\ Previously, pricing data was collected by Country 
Allowance Coordinators in each OCONUS location using the Retail 
Price Schedule. Effective August 2025, the DOD has outsourced the 
pricing data collection process for OCONUS to a private contractor.
---------------------------------------------------------------------------

    We believe the DOD OCOLAs are an appropriate data source to capture 
the cost differences of LTCH nonlabor-related inputs purchased in the 
areas of Hawaii and Alaska compared to the continental U.S. The DOD 
OCOLAs reflect the relative price differences in a basket of non-
housing goods and services that would be consistent with many of the 
nonlabor-related goods and services that LTCHs purchase (such as 
pharmaceuticals, food, and cleaning supplies). In addition, unlike the 
prior approach that relied on CPI data for urban areas, these relative 
price differences would account for the additional shipping costs to 
remote areas. Specifically, the DOD OCOLAs are reflective of the 
specific areas of Alaska and Hawaii where LTCHs are located.
    For the proposed COLA factors for LTCHs located in Alaska and 
Hawaii for FY 2027, we are proposing to use the OCOLAs published by DOD 
effective for January 1, 2026. The DOD OCOLAs are available for 26 
Alaska locality areas and 6 Hawaii locality areas. Similar to the COLAs 
used for Alaska and Hawaii for FY 2022 through FY 2026 that are based 
on the original OPM COLAs, we are proposing to continue to use the four 
Nonforeign COLA Areas designated by OPM for Alaska and the four 
Nonforeign COLA Areas designated by OPM for Hawaii as shown in Table 
V.C.1.
    For each of the designated OPM areas for cities in Alaska (City of 
Anchorage, City of Fairbanks, and City of Juneau), if there is more 
than one DOD OCOLA within a 50-mile radius of the city, we are 
proposing to average the DOD OCOLAs within the designated OPM area to 
calculate the proposed COLA. Specifically, for the COLA factor for the 
City of Anchorage, we are proposing to average the DOD OCOLAs for the 
Anchorage and Wasilla locality areas. For the COLA factor for the City 
of Fairbanks, we are proposing to average the DOD OCOLAs for the 
College, Eielson Air Force Base, and Fairbanks locality areas. For the 
Rest of Alaska COLA, given that there are IPPS hospitals located in two 
locality areas (Bethel and Kenai), we are proposing to average the DOD 
OCOLAs for these two locality areas to calculate the proposed COLA. We 
note there is currently only one LTCH in Alaska, located in Anchorage.
    For Hawaii, the OCOLAs published by DOD are generally consistent 
with the OPM designated areas. To obtain the COLA factor for the OPM 
designated area of County of Maui and County of Kalawao, we are 
proposing to average the DOD OCOLAs for the Maui and Molokai locality 
areas. We note there are currently no LTCHs located in Hawaii.
    Starting with the FY 2027 payment year, we are proposing to no 
longer cap the COLA factors at 25 percent. We note that OPM's COLA 
factors were calculated with a statutorily mandated cap of 25 percent 
\565\ and we had exercised our discretionary authority to adjust 
payments to LTCHS in Alaska and Hawaii by incorporating this 25-percent 
cap. Since we are no longer proposing to use the OPM COLA factors, we 
are exercising our discretionary authority to no longer cap the COLA 
factors at 1.25. Lastly, for fiscal years after FY 2027, in order to 
facilitate stability in payment rates, we are proposing to continue to 
update the COLA factors at the same time the labor-related share of the 
IPPS market basket is updated.
---------------------------------------------------------------------------

    \565\ Section 5941 of title 5, United States Code, and Executive 
Order 10000 (as amended) authorize the payment of COLAs in 
nonforeign areas (https://www.opm.gov/policy-data-oversight/pay-leave/pay-systems/nonforeign-areas/) and states that the allowance 
may not exceed 25 percent.
---------------------------------------------------------------------------

    Below is a table with the proposed COLA factors for FY 2027, as 
calculated using this proposed methodology, which indicates that 
changing the data source and eliminating the 25-percent cap has 
different impacts by area. We are soliciting comments on this proposed 
methodology and the use of the DOD OCOLAs, including any comments on 
how the use of survey data that are specific to Service members, 
including their access to discounted commissary prices that might be 
variable by geographic area, may result in differential impacts across 
the designated areas. We are also requesting comment on any potential 
modifications to this proposed methodology, including a potential 
phase-in of the use of these data or a transition period for 
implementation, which we may consider finalizing in the FY 2027 IPPS/
LTCH PPS final rule, after consideration of the comments received.

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D. Proposed Adjustment for LTCH PPS High-Cost Outlier (HCO) Cases

1. HCO Background
    From the beginning of the LTCH PPS, we have included an adjustment 
to account for cases in which there are extraordinarily high costs 
relative to the costs of most discharges. Under this policy, additional 
payments are made based on the degree to which the estimated cost of a 
case (which is calculated by multiplying the Medicare allowable covered 
charge by the by the hospital's overall hospital CCR) exceeds a fixed-
loss amount. This policy results in greater payment accuracy under the 
LTCH PPS and the Medicare program, and the LTCH sharing the financial 
risk for the treatment of extraordinarily high-cost cases.
    We retained the basic tenets of our HCO policy in FY 2016 when we 
implemented the dual rate LTCH PPS payment structure under section 1206 
of Public Law 113-67. LTCH discharges that meet the criteria for 
exclusion from the site neutral payment rate (that is, LTCH PPS 
standard Federal payment rate cases) are paid at the LTCH PPS standard 
Federal payment rate, which includes, as applicable, HCO payments under 
Sec.  412.523(e). LTCH discharges that do not meet the criteria for 
exclusion are paid at the site neutral payment rate, which includes, as 
applicable, HCO payments under Sec.  412.522(c)(2)(i). In the FY 2016 
IPPS/LTCH PPS final rule, we established separate fixed-loss amounts 
and targets for the two different LTCH PPS payment rates. Under this 
bifurcated policy, the historic 8-percent HCO target was retained for 
LTCH PPS standard Federal payment rate cases, with the fixed-loss 
amount calculated using only data from LTCH cases that would have been 
paid at the LTCH PPS standard Federal payment rate if that rate had 
been in effect at the time of those discharges. For site neutral 
payment rate cases, we adopted the operating IPPS HCO target (currently 
5.1 percent) and set the fixed-loss amount for site neutral payment 
rate cases at the value of the IPPS fixed-loss amount. Under the HCO 
policy for both payment rates, an LTCH receives 80 percent of the 
difference between the estimated cost of the case and the applicable 
HCO threshold, which is the sum of the LTCH PPS payment for the case 
and the applicable fixed-loss amount for such case.
    To maintain budget neutrality, consistent with the budget 
neutrality requirement at Sec.  412.523(d)(1) for HCO payments to LTCH 
PPS standard Federal rate payment cases, we also adopted a budget 
neutrality requirement for HCO payments to site neutral payment rate 
cases by applying a budget neutrality factor to the LTCH PPS payment 
for those site neutral payment rate cases. (We refer readers to Sec.  
412.522(c)(2)(i) of the regulations for further details.) For 
additional details on the HCO policy adopted for site neutral payment 
rate cases under the dual rate LTCH PPS payment structure, including 
the budget neutrality adjustment for HCO payments to site neutral 
payment rate cases, we refer readers to the FY 2016 IPPS/LTCH PPS final 
rule (80 FR 49617 through 49623).
2. Determining LTCH CCRs Under the LTCH PPS
a. Background
    As noted previously, CCRs are used to determine payments for HCO 
adjustments for both payment rates under the LTCH PPS and are also used 
to determine payments for site neutral payment rate cases. As noted 
earlier, in determining HCO and the site neutral payment rate payments 
(regardless of whether the case is also an HCO), we generally calculate 
the estimated cost of the case by multiplying the LTCH's overall CCR by 
the Medicare allowable charges for the case. An overall CCR is used 
because the LTCH PPS uses a single prospective payment per discharge 
that covers both inpatient operating and capital-related costs. The 
LTCH's overall CCR is generally computed based on the sum of LTCH 
operating and capital costs (as described in section 150.24, Chapter 3, 
of the Medicare Claims Processing Manual (Pub. 100-4)) as compared to 
total Medicare charges (that is, the sum of its operating and capital 
inpatient routine and ancillary charges), with those values determined 
from either the most recently settled cost report or the most recent 
tentatively settled cost report, whichever is from the latest cost 
reporting period. However, in certain instances, we use an alternative 
CCR, such as the statewide average CCR, a CCR that is specified by CMS, 
or one that is requested by the hospital. (We refer readers to Sec.  
412.525(a)(4)(iv) of the regulations for further details regarding CCRs 
and HCO adjustments for either LTCH PPS payment rate and Sec.  
412.522(c)(1)(ii) for the site neutral payment rate.)
    The LTCH's calculated CCR is then compared to the LTCH total CCR 
ceiling. Under our established policy, an LTCH with a calculated CCR in 
excess of the applicable maximum CCR threshold (that is, the LTCH total 
CCR ceiling, which is calculated as 3 standard deviations from the 
national geometric average CCR) is generally assigned the applicable 
statewide CCR. This policy is premised on a belief that calculated CCRs 
in excess of the LTCH total CCR ceiling are most likely due to faulty 
data reporting or entry, and CCRs based on erroneous data should not be 
used to identify and make payments for outlier cases.
b. LTCH Total CCR Ceiling
    Consistent with our historical practice, we are proposing to use 
the best available data to determine the LTCH total CCR ceiling for FY 
2027 in this proposed rule. Specifically, in this

[[Page 19829]]

proposed rule, we are proposing to use our established methodology for 
determining the LTCH total CCR ceiling based on IPPS total CCR data 
from the December 2025 update of the Provider Specific File (PSF), 
which is the most recent data available. Accordingly, we are proposing 
an LTCH total CCR ceiling of 1.354 under the LTCH PPS for FY 2027 in 
accordance with Sec.  412.525(a)(4)(iv)(C)(2) for HCO cases under 
either payment rate and Sec.  412.522(c)(1)(ii) for the site neutral 
payment rate. Consistent with our historical practice, we are proposing 
to use the best available data, if applicable, to determine the LTCH 
total CCR ceiling for FY 2027 in the final rule. (For additional 
information on our methodology for determining the LTCH total CCR 
ceiling, we refer readers to the FY 2007 IPPS final rule (71 FR 48117 
through 48119).)
c. LTCH Statewide Average CCRs
    Our general methodology for determining the statewide average CCRs 
used under the LTCH PPS is similar to our established methodology for 
determining the LTCH total CCR ceiling because it is based on ``total'' 
IPPS CCR data. (For additional information on our methodology for 
determining statewide average CCRs under the LTCH PPS, we refer readers 
to the FY 2007 IPPS final rule (71 FR 48119 through 48120).) Under the 
LTCH PPS HCO policy at Sec.  412.525(a)(4)(iv)(C), the SSO policy at 
Sec.  412.529(f)(4)(iii), and the site neutral payment rate at Sec.  
412.522(c)(1)(ii), the MAC may use a statewide average CCR, which is 
established annually by CMS, if it is unable to determine an accurate 
CCR for an LTCH in one of the following circumstances: (1) New LTCHs 
that have not yet submitted their first Medicare cost report (a new 
LTCH is defined as an entity that has not accepted assignment of an 
existing hospital's provider agreement in accordance with Sec.  
489.18); (2) LTCHs whose calculated CCR is in excess of the LTCH total 
CCR ceiling; and (3) other LTCHs for whom data with which to calculate 
a CCR are not available (for example, missing or faulty data). (Other 
sources of data that the MAC may consider in determining an LTCH's CCR 
include data from a different cost reporting period for the LTCH, data 
from the cost reporting period preceding the period in which the 
hospital began to be paid as an LTCH (that is, the period of at least 6 
months that it was paid as a short-term, acute care hospital), or data 
from other comparable LTCHs, such as LTCHs in the same chain or in the 
same region.)
    Consistent with our historical practice of using the best available 
data, in this proposed rule, we are proposing to use our established 
methodology for determining the LTCH PPS statewide average CCRs, based 
on the most recent complete IPPS ``total CCR'' data from the December 
2025 update of the PSF. We are proposing LTCH PPS statewide average 
total CCRs for urban and rural hospitals that will be effective for 
discharges occurring on or after October 1, 2026, through September 30, 
2027, in Table 8C listed in section VI. of this Addendum (and available 
via the internet on the CMS website). Consistent with our historical 
practice, we also are proposing to use the best available data, if 
applicable, to determine the LTCH PPS statewide average total CCRs for 
FY 2027 in the final rule.
    Under the current LTCH PPS labor market areas, all areas in the 
District of Columbia, New Jersey, and Rhode Island are classified as 
urban. Therefore, there are no rural statewide average total CCRs 
listed for those jurisdictions in Table 8C. This policy is consistent 
with the policy that we established when we revised our methodology for 
determining the applicable LTCH statewide average CCRs in the FY 2007 
IPPS final rule (71 FR 48119 through 48121) and is the same as the 
policy applied under the IPPS. In addition, consistent with our 
existing methodology, in determining the urban and rural statewide 
average total CCRs for Maryland LTCHs paid under the LTCH PPS, we are 
proposing to continue to use, as a proxy, the national average total 
CCR for urban IPPS hospitals and the national average total CCR for 
rural IPPS hospitals, respectively. We are proposing to use this proxy 
because we believe that the CCR data in the PSF for Maryland hospitals 
may not be entirely accurate (as discussed in greater detail in the FY 
2007 IPPS final rule (71 FR 48120)).
    Furthermore, although Connecticut, Idaho, Massachusetts, Nevada, 
and North Dakota have areas that are designated as rural under the 
current LTCH PPS labor market areas, in our calculation of the LTCH 
statewide average CCRs, there were no trimmed CCR data available from 
IPPS hospitals located in these rural areas as of December 2025. We 
refer the reader to section II.A.4.i.(2). of this Addendum for details 
on the trims applied to the IPPS CCR data from the December 2025 update 
of the PSF, which are the same data used to calculate the LTCH 
statewide average total CCRs. Therefore, consistent with our existing 
methodology, we are proposing to use the national average total CCR for 
rural IPPS hospitals for rural Connecticut, Idaho, Massachusetts, 
Nevada, and North Dakota in Table 8C. We note that there were no LTCHs 
located in these rural areas as of December 2025.
d. Reconciliation of HCO Payments
    Under the HCO policy at Sec.  412.525(a)(4)(iv)(D), the payments 
for HCO cases are subject to reconciliation (regardless of whether 
payment is based on the LTCH standard Federal payment rate or the site 
neutral payment rate). Specifically, any such payments are reconciled 
at settlement based on the CCR that was calculated based on the cost 
report coinciding with the discharge. For additional information on the 
reconciliation policy, we refer readers to sections 150.26 through 
150.28 of the Medicare Claims Processing Manual (Pub. 100-4), as added 
by Change Request 7192 (Transmittal 2111; December 3, 2010) and the RY 
2009 LTCH PPS final rule (73 FR 26820 through 26821), and most recently 
modified by Change Request 14233 (Transmittal 13428; September 22, 
2025) with an update to the outlier reconciliation criteria.
3. Proposed High-Cost Outlier Payments for LTCH PPS Standard Federal 
Payment Rate Cases
a. High-Cost Outlier Payments for LTCH PPS Standard Federal Payment 
Rate Cases
    Under the regulations at Sec.  412.525(a)(2)(ii) and as required by 
section 1886(m)(7) of the Act, the fixed-loss amount for HCO payments 
is set each year so that the estimated aggregate HCO payments for LTCH 
PPS standard Federal payment rate cases are 99.6875 percent of 8 
percent (that is, 7.975 percent) of estimated aggregate LTCH PPS 
payments for LTCH PPS standard Federal payment rate cases. (For more 
details on the requirements for high-cost outlier payments in FY 2018 
and subsequent years under section 1886(m)(7) of the Act and additional 
information regarding high-cost outlier payments prior to FY 2018, we 
refer readers to the FY 2018 IPPS/LTCH PPS final rule (82 FR 38542 
through 38544).)
b. Proposed Fixed-Loss Amount for LTCH PPS Standard Federal Payment 
Rate Cases for FY 2027
    When we implemented the LTCH PPS, we established a fixed-loss 
amount so that total estimated outlier payments are projected to equal 
8 percent of total estimated payments (that is, the target percentage) 
under the LTCH PPS (67 FR 56022 through 56026). When we implemented the 
dual rate LTCH PPS payment structure beginning in FY 2016, we 
established that, in general,

[[Page 19830]]

the historical LTCH PPS HCO policy would continue to apply to LTCH PPS 
standard Federal payment rate cases. That is, the fixed-loss amount for 
LTCH PPS standard Federal payment rate cases would be determined using 
the LTCH PPS HCO policy adopted when the LTCH PPS was first 
implemented, but we limited the data used under that policy to LTCH 
cases that would have been LTCH PPS standard Federal payment rate cases 
if the statutory changes had been in effect at the time of those 
discharges.
    For this proposed rule, for the reasons discussed below, we are 
proposing to depart from our historical methodology for determining the 
fixed-loss amount, which we used to determine the FY 2026 
fixed-loss amount in the FY 2026 IPPS/LTCH PPS final rule (90 FR 37243 
through 37247). Under our historical methodology, we estimate outlier 
payments and total LTCH PPS payments for each LTCH PPS standard Federal 
payment rate case (or for each case that would have been an LTCH PPS 
standard Federal payment rate case if the statutory changes had been in 
effect at the time of the discharge) using claims data from the MedPAR 
files. Due to the lag time in the availability of claims data, under 
our historical methodology, we inflate charges from the claims data by 
a uniform factor based on the historical growth in charges for LTCH PPS 
standard Federal payment rate cases. We then multiply the inflated 
charges by each provider's best available CCR, which has been adjusted 
by a factor calculated from historical changes in the average case-
weighted CCR for LTCHs. In accordance with Sec.  412.525(a)(2)(ii), the 
applicable fixed-loss amount for LTCH PPS standard Federal payment rate 
cases results in estimated total outlier payments being projected to be 
equal to 7.975 percent of projected total LTCH PPS payments for LTCH 
PPS standard Federal payment rate cases.
    On September 22, 2025, we issued Change Request (CR) 14233, which 
is available at https://www.cms.gov/medicare/regulations-guidance/transmittals/2025-transmittals/r13428cp. CR 14233 provides additional 
instructions to MACs that expand the criteria for identifying cost 
reports MACs are to refer to CMS for approval of outlier 
reconciliation. The original criteria issued in July 2003 instructed 
MACS to identify for CMS any instances where: (1) the actual CCR is 
found to be plus or minus 10 percentage points from the CCR used during 
that cost reporting period to make outlier payments, and (2) the total 
outlier payments exceeded $500,000 for that cost reporting period. CR 
14233 expanded this criteria for cost reports beginning on or after 
October 1, 2025, by instructing MACs to also identify for CMS any 
instances where: (1) the actual CCR is found to be plus or minus 20 
percent or more from the CCR used during that time period to make 
outlier payments, and (2) the total outlier payments exceeded $500,000 
for that cost reporting period.
    We analyzed the FY 2023 cost reports to better understand the 
potential impact the expanded criteria would have on LTCH payments. We 
found that approximately 2 percent of LTCH cost reports met the 
original reconciliation criteria, while approximately 24 percent of 
LTCH cost reports would have met the expanded reconciliation criteria. 
For the vast majority of the cost reports that would have met the 
expanded criteria, the LTCHs increased their charges during their cost 
reporting period at rates that far exceed their costs. This practice of 
significant year-over-year charge increases has been documented in the 
charge inflation factors we have calculated in recent rules. (As an 
example, in the FY 2026 IPPS/LTCH PPS final rule (90 FR 37246), we 
determined that LTCHs, on average, increased their charges 
approximately 13 percent from FY 2023 to FY 2024.) Based on the most 
recent data available for this proposed rule, we determined that LTCHs, 
on average, increased their charges approximately 17 percent from FY 
2024 to FY 2025.
    As discussed in greater detail below, we do not believe our 
historical methodology, which relies on the most recently available 
data, would accurately estimate outlier payments for LTCHs in FY 2027. 
Ordinarily, the best available data to use for ratesetting is the most 
recently available data. However, in light of the issuance of CR 14233, 
we do not believe the most recently available data for estimating 
outlier payments is reflective of the expected LTCH experience in FY 
2027. With an incentive to avoid outlier reconciliation, we believe 
LTCHs will not continue to increase their charges relative to costs at 
the rates reflected in the most recently available data. Specifically, 
we do not believe the recent annual increase in average charges of 
approximately 17 percent is a reliable indicator for forecasting future 
annual increases in charges that will occur for purposes of estimating 
outlier payments in FY 2027. Similarly, we do not believe the 
historical changes in LTCHs' CCRs observed from cost reporting periods 
subject to only the original criteria can be used to reliably predict 
future CCR levels for purposes of estimating outlier payments in FY 
2027. However, we currently lack sufficient information to reasonably 
quantify the magnitude a behavioral change would have on charging 
practices and outlier payment trends in FY 2027. Using a variety of 
assumptions for charge inflation and degree of outlier reconciliation, 
we estimated that a fixed-loss amount that would meet the statutory 
budget neutral target of estimated LTCH PPS outlier payments in FY 2027 
would fall in the range of approximately $67,000 (a decrease of 
approximately $12,000 compared to the current fixed-loss amount) to 
$109,000 (an increase of approximately $30,000 compared to the current 
fixed-loss amount). Given this wide range of uncertainty in attempting 
to adopt assumptions about charge inflation and degree of outlier 
reconciliation for purposes of estimating the fixed-loss amount for FY 
2027 and the aforementioned issues with using the historic methodology 
for purposes of estimating the fixed-loss amount for FY 2027, we 
believe that maintaining the fixed-loss amount at its FY 2026 level is 
a reasonable estimate of a fixed-loss amount that will result in 
estimated LTCH PPS outlier payments being equal to 7.975 percent of 
total LTCH PPS payments for FY 2027. Therefore, under the broad 
authority of section 123(a)(1) of the BBRA and section 307(b)(1) of the 
BIPA, we are proposing a fixed-loss amount for LTCH PPS standard 
Federal payment rate cases for FY 2027 of $78,936 that would result in 
estimated outlier payments projected to be equal to 7.975 percent of 
estimated FY 2027 payments for such cases. As such, we will make an 
additional HCO payment for the cost of an LTCH PPS standard Federal 
payment rate case that exceeds the HCO threshold amount that is equal 
to 80 percent of the difference between the estimated cost of the case 
and the outlier threshold (the sum of the proposed adjusted LTCH PPS 
standard Federal payment rate payment and the proposed fixed-loss 
amount for LTCH PPS standard Federal payment rate cases of $78,936). We 
believe setting the FY 2027 fixed-loss amount at the FY 2026 level will 
provide stability and predictability while allowing CMS time to gain 
insight into LTCHs' response to the additional reconciliation criteria. 
We intend to reassess the appropriateness of returning to our 
historical calculation methodology for future years as more 
representative data becomes available.
4. Proposed High-Cost Outlier Payments for Site Neutral Payment Rate 
Cases
    When we implemented the application of the site neutral payment

[[Page 19831]]

rate in FY 2016, in examining the appropriate fixed-loss amount for 
site neutral payment rate cases issue, we considered how LTCH 
discharges based on historical claims data would have been classified 
under the dual rate LTCH PPS payment structure and the CMS' Office of 
the Actuary projections regarding how LTCHs will likely respond to our 
implementation of policies resulting from the statutory payment 
changes. We again relied on these considerations and actuarial 
projections in FY 2017 and FY 2018 because the historical claims data 
available in each of these years were not all subject to the LTCH PPS 
dual rate payment system. Similarly, for FYs 2019 through 2025, we 
continued to rely on these considerations and actuarial projections 
because, due to the transitional blended payment policy for site 
neutral payment rate cases and the provisions of section 3711(b)(2) of 
the CARES Act, the historical claims data available in each of these 
years were not subject to the full effect of the site neutral payment 
rate.
    For FYs 2016 through 2025, our actuaries projected that the 
proportion of cases that would qualify as LTCH PPS standard Federal 
payment rate cases versus site neutral payment rate cases under the 
statutory provisions would remain consistent with what is reflected in 
the historical LTCH PPS claims data. Although our actuaries did not 
project an immediate change in the proportions found in the historical 
data, they did project cost and resource changes to account for the 
lower payment rates. Our actuaries also projected that the costs and 
resource use for cases paid at the site neutral payment rate would 
likely be lower, on average, than the costs and resource use for cases 
paid at the LTCH PPS standard Federal payment rate and would likely 
mirror the costs and resource use for IPPS cases assigned to the same 
MS-DRG, regardless of whether the proportion of site neutral payment 
rate cases in the future remains similar to what is found based on the 
historical data. As discussed in the FY 2016 IPPS/LTCH PPS final rule 
(80 FR 49619), this actuarial assumption is based on our expectation 
that site neutral payment rate cases would generally be paid based on 
an IPPS comparable per diem amount under the statutory LTCH PPS payment 
changes that began in FY 2016, which, in the majority of cases, is much 
lower than the payment that would have been paid if these statutory 
changes were not enacted. In light of these projections and 
expectations, we discussed that we believed that the use of a single 
fixed-loss amount and HCO target for all LTCH PPS cases would be 
problematic. In addition, we discussed that we did not believe that it 
would be appropriate for comparable LTCH PPS site neutral payment rate 
cases to receive dramatically different HCO payments from those cases 
that would be paid under the IPPS (80 FR 49617 through 49619 and 81 FR 
57305 through 57307). For those reasons, we stated that we believed 
that the most appropriate fixed-loss amount for site neutral payment 
rate cases for FYs 2016 through 2025 would be equal to the IPPS fixed-
loss amount for that particular fiscal year. Therefore, we established 
the fixed-loss amount for site neutral payment rate cases as the 
corresponding IPPS fixed-loss amounts for FYs 2016 through 2025.
    In the FY 2026 IPPS/LTCH PPS final rule (90 FR 37247) we discussed 
that section 3711(b)(2) of the CARES Act provided a waiver of the 
application of the site neutral payment rate for LTCH cases. This 
waiver applied to patients admitted during the COVID-19 PHE period and 
expired on May 11, 2023. Although the vast majority of LTCH discharges 
in FY 2024 were not subject to the waiver of the application of the 
site neutral payment rate, we believed LTCHs' admission patterns may 
still have been adapting to the expiration of the waiver of the 
application of the site neutral payment rate. Therefore, we did not 
believe it was appropriate to use FY 2024 data to develop a fixed-loss 
amount for site neutral payment rate cases for FY 2026. Therefore, we 
established the fixed-loss amount for site neutral payment rate cases 
as the FY 2026 IPPS fixed-loss amount of $40,397 (90 FR 37247).
    For FY 2027, we are proposing to set the fixed-loss amount for site 
neutral payment rate cases equal to the FY 2027 IPPS fixed-loss amount. 
As discussed above, the waiver of the application of the site neutral 
payment rate under section 3711(b)(2) of the CARES Act expired on May 
11, 2023. While FY 2024 and FY 2025 claims data reflect discharges that 
were not subject to this waiver, we believe that only two years of data 
subject to the full application of the site neutral payment rate is not 
sufficient for establishing a separate methodology for determining the 
fixed-loss amount for site neutral payment rate cases. We remain 
concerned that LTCH admission patterns may still be evolving following 
the expiration of the PHE waiver, and that adjusting our current policy 
based on this limited period of data would not be appropriate. We will 
continue to monitor claims data in future years to assess whether 
adjustments to this policy may be warranted as we accumulate a more 
robust dataset reflecting the post-PHE environment.
    Accordingly, for FY 2027, we are proposing that the applicable HCO 
threshold for site neutral payment rate cases is the sum of the site 
neutral payment rate for the case and the IPPS fixed-loss amount. That 
is, we are proposing a fixed-loss amount for site neutral payment rate 
cases of $51,679, which is the same FY 2027 IPPS fixed-loss amount 
discussed in section II.A.4.i.(2). of this Addendum. Accordingly, under 
this policy, for FY 2027, we would calculate an HCO payment for site 
neutral payment rate cases with costs that exceed the HCO threshold 
amount that is equal to 80 percent of the difference between the 
estimated cost of the case and the outlier threshold (the sum of the 
site neutral payment rate payment and the proposed fixed-loss amount 
for site neutral payment rate cases of $51,679).
    In establishing an HCO policy for site neutral payment rate cases, 
we established a budget neutrality adjustment under Sec.  
412.522(c)(2)(i). We established this requirement because we believed, 
and continue to believe, that the HCO policy for site neutral payment 
rate cases should be budget neutral, just as the HCO policy for LTCH 
PPS standard Federal payment rate cases is budget neutral, meaning that 
estimated site neutral payment rate HCO payments should not result in 
any change in estimated aggregate LTCH PPS payments.
    To ensure that estimated HCO payments payable to site neutral 
payment rate cases in FY 2027 would not result in any increase in 
estimated aggregate FY 2026 LTCH PPS payments, under the budget 
neutrality requirement at Sec.  412.522(c)(2)(i), it is necessary to 
reduce site neutral payment rate payments by 5.1 percent to account for 
the estimated additional HCO payments payable to those cases in FY 
2027. Consistent with our historical practice, we are proposing to 
continue this policy.
    As discussed earlier, consistent with the IPPS HCO payment 
threshold, we estimate the proposed fixed-loss threshold would result 
in FY 2027 HCO payments for site neutral payment rate cases to equal 
5.1 percent of the site neutral payment rate payments that are based on 
the IPPS comparable per diem amount. As such, to ensure estimated HCO 
payments payable for site neutral payment rate cases in FY 2027 would 
not result in any increase in estimated aggregate FY 2027 LTCH PPS 
payments, under the budget neutrality requirement

[[Page 19832]]

at Sec.  412.522(c)(2)(i), it is necessary to reduce the site neutral 
payment rate amount paid under Sec.  412.522(c)(1)(i) by 5.1 percent to 
account for the estimated additional HCO payments payable for site 
neutral payment rate cases in FY 2027. To achieve this, for FY 2027, we 
are proposing to apply a budget neutrality factor of 0.949 (that is, 
the decimal equivalent of a 5.1 percent reduction, determined as 1.0 - 
5.1/100 = 0.949) to the site neutral payment rate for those site 
neutral payment rate cases paid under Sec.  412.522(c)(1)(i). We note 
that, consistent with our current policy, this proposed HCO budget 
neutrality adjustment will not be applied to the HCO portion of the 
site neutral payment rate amount (81 FR 57309).

E. Proposed Update to the IPPS Comparable Amount to Reflect the 
Statutory Changes to the IPPS DSH Payment Adjustment Methodology

    In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50766), we 
established a policy to reflect the changes to the Medicare IPPS DSH 
payment adjustment methodology made by section 3133 of the Affordable 
Care Act in the calculation of the ``IPPS comparable amount'' under the 
SSO policy at Sec.  412.529 and the ``IPPS equivalent amount'' under 
the site neutral payment rate at Sec.  412.522. Historically, the 
determination of both the ``IPPS comparable amount'' and the ``IPPS 
equivalent amount'' includes an amount for inpatient operating costs 
``for the costs of serving a disproportionate share of low-income 
patients.'' Under the statutory changes to the Medicare DSH payment 
adjustment methodology that began in FY 2014, in general, eligible IPPS 
hospitals receive an empirically justified Medicare DSH payment equal 
to 25 percent of the amount they otherwise would have received under 
the statutory formula for Medicare DSH payments prior to the amendments 
made by the Affordable Care Act. The remaining amount, equal to an 
estimate of 75 percent of the amount that otherwise would have been 
paid as Medicare DSH payments, reduced to reflect changes in the 
percentage of individuals under the age of 65 who are uninsured, is 
made available to make additional payments to each hospital that 
qualifies for Medicare DSH payments and that has uncompensated care. 
The additional uncompensated care payments are based on the hospital's 
amount of uncompensated care for a given time period relative to the 
total amount of uncompensated care for that same time period reported 
by all hospitals that receive Medicare DSH payments.
    To reflect the Medicare DSH payment adjustment methodology 
statutory changes in section 3133 of the Affordable Care Act in the 
calculation of the ``IPPS comparable amount'' and the ``IPPS equivalent 
amount'' under the LTCH PPS, we stated in the FY 2014 IPPS/LTCH PPS 
final rule (78 FR 50766) that we will include a reduced Medicare DSH 
payment amount that reflects the projected percentage of the payment 
amount calculated based on the statutory Medicare DSH payment formula 
prior to the amendments made by the Affordable Care Act that will be 
paid to eligible IPPS hospitals as empirically justified Medicare DSH 
payments and uncompensated care payments in that year (that is, a 
percentage of the operating Medicare DSH payment amount that has 
historically been reflected in the LTCH PPS payments that are based on 
IPPS rates). We also stated, in the FY 2014 IPPS/LTCH PPS final rule 
(78 FR 50766), that the projected percentage will be updated annually, 
consistent with the annual determination of the amount of uncompensated 
care payments that will be made to eligible IPPS hospitals. We believe 
that this approach results in appropriate payments under the LTCH PPS 
and is consistent with our intention that the ``IPPS comparable 
amount'' and the ``IPPS equivalent amount'' under the LTCH PPS closely 
resemble what an IPPS payment would have been for the same episode of 
care, while recognizing that some features of the IPPS cannot be 
translated directly into the LTCH PPS (79 FR 50766 through 50767).
    For FY 2027, as discussed in greater detail in section IV.E.2.b. of 
the preamble of this proposed rule, based on the most recent data 
available, our estimate of 75 percent of the amount that would 
otherwise have been paid as Medicare DSH payments (under the 
methodology outlined in section 1886(r)(2) of the Act) is adjusted to 
65.00 percent of that amount to reflect the change in the percentage of 
individuals who are uninsured. The resulting amount is then used to 
determine the amount available to make uncompensated care payments to 
eligible IPPS hospitals in FY 2027. In other words, the amount of the 
Medicare DSH payments that would have been made prior to the amendments 
made by the Affordable Care Act is adjusted to 48.75 percent (the 
product of 75 percent and 65.00 percent) and the resulting amount is 
used to calculate the uncompensated care payments to eligible 
hospitals. As a result, for FY 2027, we project that the reduction in 
the amount of Medicare DSH payments pursuant to section 1886(r)(1) of 
the Act, along with the payments for uncompensated care under section 
1886(r)(2) of the Act, will result in overall Medicare DSH payments of 
73.75 percent of the amount of Medicare DSH payments that would 
otherwise have been made in the absence of the amendments made by the 
Affordable Care Act (that is, 25 percent + 48.75 percent = 73.75 
percent).Therefore, for FY 2027, we are proposing to establish that the 
calculation of the ``IPPS comparable amount'' under Sec.  412.529 would 
include an applicable operating Medicare DSH payment amount that is 
equal to 73.75 percent of the operating Medicare DSH payment amount 
that would have been paid based on the statutory Medicare DSH payment 
formula absent the amendments made by the Affordable Care Act. 
Furthermore, consistent with our historical practice, we are proposing 
that, if more recent data became available, we would use that data to 
determine the applicable operating Medicare DSH payment amount used to 
calculate the ``IPPS comparable amount'' in the final rule.

F. Computing the Proposed Adjusted LTCH PPS Federal Prospective 
Payments for FY 2027

    Under the dual rate LTCH PPS payment structure, only LTCH PPS cases 
that meet the statutory criteria to be excluded from the site neutral 
payment rate are paid based on the LTCH PPS standard Federal payment 
rate. Under Sec.  412.525(c), the LTCH PPS standard Federal payment 
rate is adjusted to account for differences in area wages; we make this 
adjustment by multiplying the labor-related share of the LTCH PPS 
standard Federal payment rate for a case by the applicable LTCH PPS 
wage index (the proposed FY 2027 values are shown in Tables 12A through 
12B listed in section VI. of this Addendum and are available via the 
internet on the CMS website). The LTCH PPS standard Federal payment 
rate is also adjusted to account for the higher costs of LTCHs located 
in Alaska and Hawaii by the applicable COLA factors (the proposed FY 
2027 factors are shown in the chart in section V.C. of this Addendum) 
in accordance with Sec.  412.525(b). In this proposed rule, we are 
proposing to establish an LTCH PPS standard Federal payment rate for FY 
2027 of $52,177.04, as discussed in section V.A. of this Addendum. We 
illustrate the methodology to adjust the proposed LTCH PPS standard 
Federal payment

[[Page 19833]]

rate for FY 2027, applying our proposed LTCH PPS amounts for the 
standard Federal payment rate, MS-LTC-DRG relative weights, and wage 
index in the following example:
    Example:
    During FY 2027, a Medicare discharge that meets the criteria to be 
excluded from the site neutral payment rate, that is, an LTCH PPS 
standard Federal payment rate case, is from an LTCH that is located in 
CBSA 16984, which has a proposed FY 2027 LTCH PPS wage index value of 
1.0107 (as shown in Table 12A listed in section VI. of this Addendum). 
The Medicare patient case is classified into proposed MS-LTC-DRG 189 
(Pulmonary Edema & Respiratory Failure), which has a proposed relative 
weight for FY 2027 of 0.9688 (as shown in Table 11 listed in section 
VI. of this Addendum). The LTCH submitted quality reporting data for FY 
2027 in accordance with the LTCH QRP under section 1886(m)(5) of the 
Act.
    To calculate the LTCH's total adjusted proposed Federal prospective 
payment for this Medicare patient case in FY 2027, we computed the 
wage-adjusted Federal prospective payment amount by multiplying the 
unadjusted proposed FY 2027 LTCH PPS standard Federal payment rate 
($52,177.04) by the proposed labor-related share (73.0 percent) and the 
proposed wage index value (1.0107). This wage-adjusted amount was then 
added to the proposed nonlabor-related portion of the unadjusted 
proposed LTCH PPS standard Federal payment rate (27.0 percent; adjusted 
for cost of living, if applicable) to determine the adjusted proposed 
LTCH PPS standard Federal payment rate, which is then multiplied by the 
proposed MS-LTC-DRG relative weight (0.9688) to calculate the total 
adjusted proposed LTCH PPS standard Federal payment for FY 2027 
($50,943.95). The table illustrates the components of the calculations 
in this example.
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VI. Tables Referenced in This Proposed Rule Generally Available Through 
the Internet on the CMS Website

    This section lists the tables referred to throughout the preamble 
of this proposed rule and in the Addendum. In the past, a majority of 
these tables were published in the Federal Register as part of the 
annual proposed and final rules. However, similar to FYs 2012 through 
2026, for the FY 2027 rulemaking cycle, the IPPS and LTCH PPS tables 
will not be published in the Federal Register in the annual IPPS/LTCH 
PPS proposed and final rules and will be on the CMS website. 
Specifically, all IPPS tables listed in the proposed rule, with the 
exception of IPPS Tables 1A, 1B, 1C, and 1D, and LTCH PPS Table 1E, 
will generally be available on the CMS website. IPPS Tables 1A, 1B, 1C, 
and 1D, and LTCH PPS Table 1E are displayed at the end of this section 
and will continue to be published in the Federal Register as part of 
the annual proposed and final rules.
    Tables 7A and 7B historically contained the Medicare prospective 
payment system selected percentile lengths of stay for the MS-DRGs for 
the prior year and upcoming fiscal year. We note, in the FY 2023 IPPS/
LTCH PPS final rule (87 FR 49452), we finalized beginning with FY 2023, 
to provide the percentile length of stay information previously 
included in Tables 7A and 7B in the supplemental AOR/BOR data file. The 
AOR/BOR files can be found on the FY 2027 IPPS proposed rule home page 
on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html.
    As discussed in section II.E.6. of the preamble to this proposed 
rule, for certain FY 2027 new technology add-on payment applications, 
we are making available separate tables listing the ICD-10-PCS codes or 
ICD-10-CM codes that would be used to identify cases relevant to the 
Breakthrough Device-designated indications, or would be appropriate to 
exclude for cases related to a different technology, for purposes of 
the new technology add-on payment, if approved, in Table 10 associated 
with this proposed rule.
    After hospitals have been given an opportunity to review and 
correct their calculations for FY 2027, we will post Table 15 (which 
will be available via the CMS website) to display the final FY 2027 
readmissions payment adjustment factors that will be applicable to 
discharges occurring on or after October 1, 2026. We expect Table 15 
will be posted on the CMS website in the Fall 2026.
    Readers who experience any problems accessing any of the tables 
that are posted on the CMS websites identified in this proposed rule 
should contact Michael Treitel at (410) 786-4552.
    The following IPPS tables for this proposed rule are generally 
available on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html. Click on the link 
on the left side of the screen titled ``FY 2027 IPPS Proposed Rule Home 
Page'' or ``Acute Inpatient -Files- for Download.''

Table 2.--Proposed Case-Mix Index and Wage Index Table by CCN--FY 2027 
Proposed Rule
Table 3.--Proposed Wage Index Table by CBSA--FY 2027 Proposed Rule
Table 4A.--Proposed List of Counties Eligible for the Out-Migration 
Adjustment under Section 1886(d)(13) of the Act--FY 2027 Proposed Rule
Table 4B.--Proposed Counties Redesignated under Section 1886(d)(8)(B) 
of the Act (LUGAR Counties)--FY 2027 Proposed Rule
Table 5.--Proposed List of Medicare Severity Diagnosis-Related Groups

[[Page 19834]]

(MS-DRGs), Relative Weighting Factors, and Geometric and Arithmetic 
Mean Length of Stay--FY 2027 Proposed Rule
Table 6A.--New Diagnosis Codes--FY 2027
Table 6B.--New Procedure Codes--FY 2027
Table 6C.--Invalid Diagnosis Codes--FY 2027
Table 6D. --Invalid Procedure Codes--FY 2027
Table 6E.--Revised Diagnosis Code Titles--FY 2027
Table 6G.1.--Proposed Secondary Diagnosis Order Additions to the CC 
Exclusions List--FY 2027
Table 6G.2.--Proposed Principal Diagnosis Order Additions to the CC 
Exclusions List--FY 2027
Table 6H.1.--Proposed Secondary Diagnosis Order Deletions to the CC 
Exclusions List--FY 2027
Table 6H.2.--Proposed Principal Diagnosis Order Deletions to the CC 
Exclusions List--FY 2027
Table 6I.1.--Proposed Additions to the MCC List--FY 2027
Table 6J.1.--Proposed Additions to the CC List--FY 2027
Table 6J.2.--Proposed Deletions to the CC List--FY 2027
Table 6P. --ICD-10-CM and ICD-10-PCS Codes for Proposed MS-DRG 
Changes--FY 2027 (Table 6P contains multiple tables, 6P.1a. through 5b. 
that include the ICD-10-CM and ICD-10-PCS code lists relating to 
specific proposed MS-DRG changes or other analyses). These tables are 
referred to throughout section II.C. of the preamble of this proposed 
rule.
Table 8A.--Proposed FY 2027 Statewide Average Operating Cost-to-Charge 
Ratios (CCRs) for Acute Care Hospitals (Urban and Rural) --FY 2027 
Proposed Rule
Table 8B.--Proposed FY 2027 Statewide Average Capital Cost-to-Charge 
Ratios (CCRs) for Acute Care Hospitals --FY 2027 Proposed Rule
Table 10.--Relevant ICD-10 Codes for Certain FY 2027 New Technology 
Add-On Payment Applications
Table 16.--Proposed Proxy Hospital Value-Based Purchasing (VBP) Program 
Adjustment Factors for FY 2027
Table 18.--Proposed FY 2027 Medicare DSH Uncompensated Care Payment 
Factor 3
The following LTCH PPS tables for this FY 2027 proposed rule are 
available through the internet on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/LongTermCareHospitalPPS/index.html under the list item for Regulation 
Number CMS-1849-P:
Table 8C.--Proposed FY 2027 Statewide Average Total Cost-to-Charge 
Ratios (CCRs) for LTCHs (Urban and Rural) --FY 2027 Proposed Rule
Table 11.--Proposed MS-LTC-DRGs, Relative Weights, Geometric Average 
Length of Stay, and Short-Stay Outlier (SSO) Threshold for LTCH PPS 
Discharges Occurring from October 1, 2026, through September 30, 2027--
FY 2027 Proposed Rule
Table 12A.--Proposed LTCH PPS Wage Index for Urban Areas for Discharges 
Occurring from October 1, 2026, through September 30, 2027--FY 2027 
Proposed Rule
Table 12B.--Proposed LTCH PPS Wage Index for Rural Areas for Discharges 
Occurring from October 1, 2026, through September 30, 2027--FY 2027 
Proposed Rule
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Appendix A: Economic Analyses

I. Regulatory Impact Analysis

A. Statement of Need

    This proposed rule is necessary to make payment and policy changes 
under the IPPS for Medicare acute care hospital inpatient services for 
operating and capital-related costs as well as for certain hospitals 
and hospital units excluded from the IPPS. This proposed rule also is 
necessary to make payment and policy changes for Medicare hospitals 
under the LTCH PPS. Also, as we note later in this Appendix, the 
primary objective of the IPPS and the LTCH PPS is to create incentives 
for hospitals to operate efficiently and minimize unnecessary costs, 
while at the same time ensuring that payments are sufficient to 
adequately compensate hospitals for their legitimate costs in 
delivering necessary care to Medicare beneficiaries. In addition, we 
share national goals of preserving the Medicare Hospital Insurance 
Trust Fund.
    We believe that the proposed changes in this proposed rule, such as 
the proposed updates to the IPPS and LTCH PPS rates, and the proposals 
and discussions relating to applications for new technology add-on 
payments, are needed to further each of these goals while maintaining 
the financial viability of the hospital industry and ensuring access to 
high quality health care for Medicare beneficiaries.
    We expect that these proposed changes would ensure that the 
outcomes of the prospective payment systems are reasonable and provide 
equitable payments, while avoiding or minimizing unintended adverse 
consequences.
1. Acute Care Hospital Inpatient Prospective Payment System (IPPS)
a. Proposed Update to the IPPS Payment Rates
    In accordance with section 1886(b)(3)(B) of the Act and as 
described in section VI.B. of the preamble of this proposed rule, we 
are proposing to update the national standardized amount for inpatient 
hospital operating costs by the applicable percentage increase of 2.4 
percent (that is, a proposed 3.2 percent market basket percentage 
increase with a proposed reduction of 0.8 percentage point for the 
productivity adjustment). We are also proposing to update the hospital-
specific rates by the applicable percentage increase (including the 
market basket percentage increase and the productivity adjustment).
    Subsection (d) hospitals that do not submit quality information 
under rules established by the Secretary and that are meaningful EHR 
users under section 1886(b)(3)(B)(ix) of the Act would receive a 
proposed applicable percentage increase of 1.6 percent, which reflects 
a one-quarter percent reduction of the market basket update for failure 
to submit quality data. Hospitals that are not meaningful EHR users and 
do submit quality information under section 1886(b)(3)(B)(viii) of the 
Act would receive a proposed applicable percentage increase of zero 
percent, which reflects a three-quarter percent reduction of the market 
basket update for not meeting the requirements to be a meaningful EHR 
user.
    Hospitals that are not meaningful EHR users under section 
1886(b)(3)(B)(ix) of the Act and also do not submit quality data under 
section 1886(b)(3)(B)(viii) of the Act would receive a proposed 
applicable percentage increase of -0.8 percent, which reflects a one-
quarter

[[Page 19836]]

percent reduction of the market basket update for failure to submit 
quality data and a three-quarter percent reduction of the market basket 
update for not meeting the requirements to be a meaningful EHR user.
b. Proposed Changes for the Add-On Payments for New Services and 
Technologies
    Consistent with sections 1886(d)(5)(K) and (L) of the Act, we 
review applications for new technology add-on payments based on the 
eligibility criteria at 42 CFR 412.87. As set forth in 42 CFR 
412.87(f)(1), we consider whether a technology meets the criteria for 
the new technology add-on payment and announce the results as part of 
the annual updates and changes to the IPPS. New technology add-on 
payments are not budget neutral.
    As discussed in section II.E.7. of the preamble of this proposed 
rule, we are proposing that for all applications received for new 
technology add-on payments for FY 2028 and subsequent fiscal years, 
including applications for FDA-designated Breakthrough Devices and 
QIDPs, or drugs approved under FDA's LPAD pathway, we would evaluate 
whether the technology is new and not substantially similar to an 
existing technology, and the technology must demonstrate that it meets 
the requirements under Sec.  412.87(b) that it represent an advance 
that substantially improves, relative to technologies previously 
available, the diagnosis or treatment of Medicare beneficiaries. We 
note that this proposal, if finalized, would be effective beginning 
with new technology add-on payments for FY 2028, and there would be no 
impact of this proposal in FY 2027. In addition, we are proposing that 
all applications received for OPPS device pass-through payment status 
on or after October 1, 2026, including all applications received 
through the remainder of the CY 2028 OPPS application cycle ending on 
March 1, 2027, and subsequent calendar years would have to demonstrate 
that the technology meets the requirements currently reflected at Sec.  
419.66(c)(2)(i).
    If all of the future Breakthrough Devices, QIDPs, and LPADs that 
would have applied for new technology add-on payments would have been 
approved under the criteria at Sec.  412.87(b), this proposal has no 
impact relative to current policy. To the extent that there are future 
Breakthrough Devices, QIDPs, and LPADs that are the subject of 
applications for new technology add-on payments, and those applications 
would have been approved under the current new technology add-on 
payment alternative pathway criteria, but would not meet the 
requirement to be new and not substantially similar to existing 
technologies and the requirements under Sec.  412.87(b), this proposal 
would result in additional savings, but the savings are not estimable.
    For future Breakthrough Devices that would have applied for OPPS 
device pass-through payment and would have met the criteria currently 
at Sec.  419.66(c)(2)(i), this proposal has no impact relative to 
current policy. To the extent that there are future Breakthrough 
Devices that are the subject of applications for OPPS device pass-
through payment, and those applications would have been approved under 
the current OPPS device pass-through payment alternative pathway 
criteria, but would not meet the requirements currently under Sec.  
419.66(c)(2)(i), this proposal would result in additional savings, but 
the savings are not estimable.
c. Proposed Continued Transition for the Discontinuation of the Low 
Wage Index Hospital Policy
    In the FY 2025 interim final action with comment period (IFC) (89 
FR 80405 through 80421), we recalculated the FY 2025 IPPS hospital wage 
index to remove the low wage index hospital policy for FY 2025. We also 
removed the low wage index budget neutrality factor from the FY 2025 
standardized amounts. For FY 2026 and subsequent fiscal years, 
consistent with the FY 2025 IFC, after considering the D.C. Circuit's 
decision in Bridgeport Hospital v. Becerra, we discontinued the low 
wage index hospital policy and the application of the low wage index 
budget neutrality factor to the standardized amounts (90 FR 36854).
    For FY 2025 and FY 2026, consistent with our past practice to 
establish temporary transition policies to mitigate short-term 
instability and payment fluctuations, we established transition 
policies for hospitals significantly impacted by the discontinuation of 
the low wage index hospital policy using our authority under section 
1886(d)(5)(I) of the Act. The transitional payment exception for FY 
2025 for those hospitals was equal to the additional FY 2025 amount a 
hospital would have been paid under the IPPS if its FY 2025 wage index 
were equal to 95 percent of its FY 2024 wage index. The transitional 
payment exception for FY 2026 was equal to the additional FY 2026 
amount the hospital would be paid under the IPPS if its FY 2026 wage 
index were equal to 90.25 percent of its FY 2024 wage index.\566\ For 
FY 2025, we opted not to budget neutralize the interim transition 
policy given the timing of the Bridgeport Hospital v. Becerra decision. 
However, for FY 2026, we finalized a payment transition with a budget 
neutrality adjustment through notice-and-comment rulemaking for 
hospitals facing significant reductions over two years that would not 
be sufficiently mitigated by the wage index cap policy at 42 CFR 
412.64(h)(7). We refer readers to the FY 2025 IFC (89 FR 80405 through 
80421) and to the FY 2026 IPPS/LTCH PPS Final Rule (90 FR 36855 through 
36857) for a full discussion of these transitional payment policies.
---------------------------------------------------------------------------

    \566\ 90.25 percent = 95 percent for FY 2025 * 95 percent for FY 
2026. This can also be expressed as .95[supcaret]2.
---------------------------------------------------------------------------

    Some hospitals that previously benefitted from the low wage index 
hospital policy would continue to experience decreases of approximately 
5 percent or more per year from their FY 2024 wage index (with the low 
wage index hospital policy applied). Therefore, we are proposing to 
extend the transitional exception to the calculation payments for FY 
2027 and subsequent years for these hospitals in the same manner as we 
did for the FY 2026 wage index. In section III.F.6. of the preamble to 
this proposed rule, for FY 2027 we are proposing to use our authority 
under section 1886(d)(5)(I)(i) of the Act twice. First, we are 
proposing to adopt a narrow transitional exception to the calculation 
of FY 2027 IPPS payments for low wage index hospitals significantly 
impacted by the discontinuation of the low wage index hospital policy. 
Second, we are proposing to exercise our authority again to do so in a 
budget neutral manner.
d. Additional Payment for Uncompensated Care to Medicare 
Disproportionate Share Hospitals (DSHs) and Supplemental Payment
    In this proposed rule, as required by section 1886(r)(2) of the 
Act, we are updating our estimates of the 3 factors used to determine 
uncompensated care payments for FY 2027. Beginning with FY 2023 (87 FR 
49036 through 49038), we adopted a multiyear averaging methodology to 
determine Factor 3 of the uncompensated care payment methodology, which 
helps mitigate any large fluctuations in uncompensated care payments 
from year to year. Under this methodology, for FY 2025 and subsequent 
fiscal years, we determine Factor 3 for all eligible hospitals using a 
3-year average of the data on

[[Page 19837]]

uncompensated care costs from Worksheet S-10 for the 3 most recent 
fiscal years for which audited data are available. We propose to use a 
3-year average of audited data on uncompensated care costs from 
Worksheet S-10, from the FY 2021, FY 2022, and FY 2023 cost reports, to 
calculate Factor 3 for FY 2027 for all eligible hospitals.
    Beginning with FY 2023 (87 FR 49047 through 49051), we also 
established a supplemental payment for IHS and Tribal hospitals and 
hospitals located in Puerto Rico. In section IV.D. of the preamble of 
this proposed rule, we summarize the ongoing methodology for 
supplemental payments.
e. Rural Community Hospital Demonstration Program
    We note, in section V.N. of the preamble of this proposed rule, we 
discuss the Rural Community Hospital (RCH) demonstration program. In 
past years, we made an adjustment to ensure the effects of the RCH 
demonstration program are budget neutral as required under section 
410A(c)(2) of Public Law 108-173. As discussed in that section, as we 
are not yet able to finalize the FY 2027 estimated costs of the 
demonstration at this time, we are not proposing to apply a budget 
neutrality offset in this FY 2027 IPPS/LTCH PPS proposed rule. Rather, 
we are proposing to apply budget neutrality offsets for both FY 2027 
and FY 2028 to the national IPPS rates in the FY 2028 IPPS/LTCH PPS 
rulemaking. We would also incorporate any statutory change that might 
affect the methodology for determining hospital costs either with or 
without the demonstration. We refer the reader to section VI.N. of the 
preamble of this proposed rule for complete details on this proposal.
2. Frontier Community Health Integration Project (FCHIP) Demonstration
    The Frontier Community Health Integration Project (FCHIP) 
demonstration was authorized under section 123 of the Medicare 
Improvements for Patients and Providers Act of 2008 (Pub. L. 110-275), 
as amended by section 3126 of the Affordable Care Act of 2010 (Pub. L. 
114-158), and most recently re-authorized and extended by the 
Consolidated Appropriations Act of 2021 (Pub. L. 116-260). The 
legislation authorized a demonstration project to allow eligible 
entities to develop and test new models for the delivery of health care 
in order to improve access to and better integrate the delivery of 
acute care, extended care and other health care services to Medicare 
beneficiaries in certain rural areas. The FCHIP demonstration initial 
period was conducted in 10 critical access hospitals (CAHs) from August 
1, 2016, to July 31, 2019, and the demonstration ``extension period'' 
began on January 1, 2022, to run through June 30, 2027.
    The authorizing legislation requires the FCHIP demonstration to be 
budget neutral. In this proposed rule, we proposed to continue with the 
budget neutrality approach used in the demonstration initial period for 
the demonstration extension period--to offset payments across CAHs 
nationally--should the demonstration incur costs to Medicare.
3. Proposed Update to the LTCH PPS Payment Rates
    The proposed update to the LTCH PPS standard Federal payment rate 
for FY 2027 is discussed in section IX.C. of the preamble of this 
proposed rule. For FY 2027, we are proposing to establish an annual 
market basket update to the LTCH PPS standard Federal payment rate of 
2.4 percent (that is, the 3.2 percent proposed market basket increase 
with a proposed reduction of 0.8 percentage point for the productivity 
adjustment, as required by section 1886(m)(3)(A)(i) of the Act). LTCHs 
that failed to submit quality data, as required by 1886(m)(5)(A)(i) of 
the Act would receive a proposed update of 0.4 percent for FY 2027, 
which reflects a 2.0 percentage point reduction for failure to submit 
quality data.
4. Hospital Quality Programs
    Section 1886(b)(3)(B)(viii) of the Act requires subsection (d) 
hospitals to report data in accordance with the requirements of the 
Hospital Inpatient Quality Reporting Program for purposes of measuring 
and making publicly available information on health care quality and 
links the quality data submission to the annual applicable percentage 
increase. Sections 1886(b)(3)(B)(ix), 1886(n), and 1814(l) of the Act 
require eligible hospitals and CAHs to demonstrate they are meaningful 
users of certified EHR technology for purposes of electronic exchange 
of health information to improve the quality of health care and link 
the submission of information demonstrating meaningful use to the 
annual applicable percentage increase for eligible hospitals and the 
applicable percent for CAHs. Section 1886(m)(5) of the Act requires 
each LTCH to submit quality measure data in accordance with the 
requirements of the Long Term Care Hospital Quality Reporting Program 
for purposes of measuring and making publicly available information on 
health care quality, and to avoid a 2-percentage point reduction. 
Section 1886(o) of the Act requires the Secretary to establish a value-
based purchasing program under which value-based incentive payments are 
made in a fiscal year to hospitals that meet the performance standards 
established on an announced set of quality and efficiency measures for 
the fiscal year. The purposes of the Hospital Value-based Purchasing 
Program include measuring the quality of hospital inpatient care, 
linking hospital measure performance to payment, and making publicly 
available information on hospital quality of care. Section 1886(p) of 
the Act requires a reduction in payment for subsection (d) hospitals 
that rank in the worst-performing 25 percent with respect to measures 
of hospital-acquired conditions under the Hospital Acquired Condition 
Reduction Program for the purpose of measuring HACs, linking measure 
performance to payment, and making publicly available information on 
health care quality. Section 1886(q) of the Act requires a reduction in 
payment for subsection (d) hospitals for excess readmissions based on 
measures for applicable conditions under the Hospital Readmissions 
Reduction Program for the purpose of measuring readmissions, linking 
measure performance to payment, and making publicly available 
information on health care quality. Section 1866(k) of the Act applies 
to hospitals described in section 1886(d)(1)(B)(v) of the Act (referred 
to as ``PPS-exempt cancer hospitals'' or ``PCHs'') and requires PCHs to 
report data in accordance with the requirements of the PCH Quality 
Reporting Program for purposes of measuring and making publicly 
available information on the quality of care furnished by PCHs. 
However, there is no reduction in payment to a PCH that does not report 
data.
5. Other Provisions
a. Transforming Episode Accountability Model (TEAM)
    In section X.A. of the preamble of this proposed rule, we discuss 
the alternative payment model called the Transforming Episode 
Accountability Model (TEAM), which will be tested under the authority 
at section 1115A of the Act. Section 1115A of the Act authorizes the 
testing of innovative payment and service delivery models that preserve 
or enhance the quality of care furnished to Medicare, Medicaid, and 
CHIP beneficiaries while reducing program expenditures. The underlying 
issue addressed by TEAM is that under the traditional fee-for-service 
(FFS)

[[Page 19838]]

payment system, Medicare makes separate payments to providers and 
suppliers for items and services furnished to a beneficiary over the 
course of an episode of care. Because providers and suppliers are paid 
for each individual item or service delivered, this may lead to care 
that is fragmented, unnecessary or duplicative, while making it 
challenging to invest in quality improvement or care coordination that 
would maximize patient benefit. We anticipate TEAM may reduce costs 
while maintaining or improving quality of care by bundling payment for 
items and services for a given episode and holding TEAM participants 
accountable for spending and quality performance, as well as by 
providing incentives to promote high quality and efficient care. 
Further, testing TEAM would allow us to learn more about the patterns 
of potentially inefficient utilization of health care services, as well 
as how to improve the beneficiary care experience during care 
transitions and incentivize quality improvements for common surgical 
episodes. This information could inform future Medicare payment policy 
and potentially establish the framework for managing clinical episodes 
as a standard practice in Original Medicare.
    TEAM was finalized in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
68986) and subsequent updates were made in the FY 2026 IPPS/LTCH PPS 
final rule (90 FR 36536)). The proposals within this proposed rule 
address policy gaps and make technical or conforming updates to ensure 
TEAM has sound and well developed technical, administrative, and 
operational policies. We are also soliciting public comment on two RFIs 
that may inform future TEAM policy. Any future TEAM policy would go 
through notice and comment rulemaking.
b. Comprehensive Care for Joint Replacement Expanded (CJR-X) Model
    In section X.C of the preamble of this proposed rule, we are 
proposing the expansion of the Comprehensive Care for Joint Replacement 
(CJR) model, with the expanded model referred to as CJR-X. Section 
1115A of the Act authorizes the testing of innovative payment and 
service delivery models that preserve or enhance the quality of care 
furnished to Medicare, Medicaid, and CHIP beneficiaries while reducing 
program expenditures. CJR-X participants would be accountable for the 
cost and quality of care for beneficiaries who receive a LEJR episode 
of care at their hospital. By holding CJR-X participants accountable, 
we anticipate this proposed model would reduce costs while maintaining 
or improving quality of care, as well as by providing incentives to 
promote high quality and efficient care.
    Based on our analysis, the CJR-X model will build upon the 
successful test of the CJR model and incorporate features from other 
CMS Innovation Center episode-based payment models such as the BPCI 
Advanced Model and TEAM. Given the strength of evidence from the CJR 
Model test, we believe its expansion across all eligible acute care 
hospitals is the logical follow on to continue driving value-based care 
for Medicare beneficiaries. Further, we believe CJR-X establishes a 
solid framework for managing clinical episodes as a standard practice 
in Original Medicare and could be used to inform episodes of care for 
Medicare Advantage or other payers.
    Under the proposed CJR-X model, acute care hospitals paid under the 
IPPS and OPPS, with limited exclusions, would be accountable form LEJR 
episodes of care. We believe the model may benefit Medicare 
beneficiaries through improving the coordination of items and services 
paid for through Medicare FFS payments, encouraging provider investment 
in health care infrastructure and redesigned care processes, and 
incentivizing higher value care across the inpatient and post-acute 
care settings for the episode. The model would also provide financial 
incentives for providers to coordinate their efforts to meet patient 
needs and prevent future costs. CJR-X may benefit beneficiaries by 
holding hospitals accountable for the quality and cost of care for 
during the anchor hospitalization or anchor procedure and for 90 days 
after a beneficiary is discharged from the anchor hospitalization or 
anchor procedure, which could promote high quality and efficient 
service delivery that focuses on patient-centered care.
c. Provisions Regarding Acquisition Costs, Reasonable Costs, and Other 
Cost-Related Policies
    In section X.D. of the preamble of this proposed rule, we are 
proposing to make payment and policy changes to ensure that Medicare 
reimburses non-renal organ acquisition costs to IOPOs and HCLs on a 
reasonable cost basis, in accordance with sections 1881(b)(2)(A) and 
1861(v) of the Act. This proposed rule is also necessary to clarify, 
revise, and/or codify for all providers Medicare's reasonable cost 
payment policies related to allowable costs, and clarify and codify for 
all providers Medicare's policies related to overhead allocation. These 
three proposals are needed to increase compliance with reasonable cost 
principles, increase payment accuracy, and increase provider 
understanding of reasonable cost principles. Additionally, this 
proposed rule is necessary to make a technical change to IOPO and HCL 
appeals policy, by codifying requirements that provide more consistency 
in the appeals process. Finally, this proposed rule is necessary to 
make technical corrections to clarify or correct regulation text.
    The proposed changes in this proposed rule reflect our commitment 
to increasing payment accuracy for providers paid under reasonable cost 
principles, assisting providers in understanding reasonable cost 
principles, assisting IOPOs and HCLs in understanding their appeal 
rights, and responsibly stewarding the Medicare Trust Fund.

B. Overall Impact

    We have examined the impacts of this proposed rule as required by 
Executive Order 12866, ``Regulatory Planning and Review''; Executive 
Order 13132, ``Federalism''; Executive Order 13563, ``Improving 
Regulation and Regulatory Review''; Executive Order 14192, ``Unleashing 
Prosperity Through Deregulation''; the Regulatory Flexibility Act (RFA) 
(Pub. L. 96-354); section 1102(b) of the Social Security Act; section 
202 of the Unfunded Mandates Reform Act of 1995 (Pub. L. 104-4).
    Executive Orders 12866 and 13563 direct agencies to assess all 
costs and benefits of available regulatory alternatives and, if 
regulation is necessary, to select those regulatory approaches that 
maximize net benefits (including potential economic, environmental, 
public health and safety, and other advantages; distributive impacts; 
and equity). Section 3(f) of Executive Order 12866 defines a 
``significant regulatory action'' as any regulatory action that is 
likely to result in a rule that may: (1) have an annual effect on the 
economy of $100 million or more or adversely affect in a material way 
the economy, a sector of the economy, productivity, competition, jobs, 
the environment, public health or safety, or State, local, or tribal 
governments or communities; (2) create a serious inconsistency or 
otherwise interfere with an action taken or planned by another agency; 
(3) materially alter the budgetary impact of entitlements, grants, user 
fees, or loan programs or the rights and obligations of recipients 
thereof; or (4) raise novel legal or policy issues arising out of legal 
mandates, or the President's priorities.

[[Page 19839]]

    A regulatory impact analysis (RIA) must be prepared for a 
regulatory action that is significant under section 3(f)(1) of E.O. 
12866. Based on our estimates, OMB's Office of Information and 
Regulatory Affairs has determined this rulemaking is significant per 
section 3(f)(1). We have prepared a regulatory impact analysis that to 
the best of our ability presents the costs and benefits of the 
rulemaking. OMB has reviewed these regulations, and the Departments 
have provided the following assessment of their impact.
    We estimate that the proposed changes for FY 2027 acute care 
hospital operating and capital payments will redistribute amounts in 
excess of $100 million to acute care hospitals. The proposed applicable 
percentage increase to the IPPS rates required by the statute, in 
conjunction with other proposed payment changes in this proposed rule, 
would result in an estimated $1.9 billion increase in payments in FY 
2027, primarily driven by the net effect of changes in FY 2027 
operating payments, including uncompensated care payments, FY 2027 
capital payments, the expiration of the temporary changes in the low-
volume hospital program, the expiration of the MDH program, and new 
technology add-on payment changes. These changes are relative to 
payments made in FY 2026. The impact analysis of the capital payments 
can be found in section I.I. of this Appendix. In addition, as 
described in section I.J. of this Appendix, LTCHs are expected to 
experience an increase in payments of approximately $55 million in FY 
2027 relative to FY 2026.
    Our operating payment impact estimate includes the 2.4 percent 
applicable percentage increase to the standardized amount (reflecting 
the proposed 3.2 percent market basket rate-of-increase reduced by the 
proposed 0.8 percentage point productivity adjustment). The estimates 
of IPPS operating payments to acute care hospitals generally do not 
reflect any changes in hospital admissions or real case-mix intensity, 
which would also affect overall payment changes.
    The analysis in this Appendix, in conjunction with the remainder of 
this document, demonstrates that this proposed rule is consistent with 
the regulatory philosophy and principles identified in Executive Orders 
12866 and 13563, the RFA, and section 1102(b) of the Act. This proposed 
rule will affect payments to a substantial number of small rural 
hospitals, as well as other classes of hospitals, and the effects on 
some hospitals may be significant. Finally, in accordance with the 
provisions of Executive Order 12866, the Office of Management and 
Budget has reviewed this proposed rule.

C. Objectives of the IPPS and the LTCH PPS

    The primary objective of the IPPS and the LTCH PPS is to create 
incentives for hospitals to operate efficiently and minimize 
unnecessary costs, while at the same time ensuring that payments are 
sufficient to adequately compensate hospitals for their costs in 
delivering necessary care to Medicare beneficiaries. In addition, we 
share national goals of preserving the Medicare Hospital Insurance 
Trust Fund.
    We believe that the changes in this proposed rule will further each 
of these goals while maintaining the financial viability of the 
hospital industry and ensuring access to high quality health care for 
Medicare beneficiaries. We expect that these proposed changes would 
ensure that the outcomes of the prospective payment systems are 
reasonable and equitable, while avoiding or minimizing unintended 
adverse consequences.
    Because this proposed rule contains a range of policies, we refer 
readers to the section of the proposed rule where each policy is 
discussed. These sections include the rationale for our decisions, 
including the need for the proposed policy.

D. Limitations of Our Analysis

    The following quantitative analysis presents the projected effects 
of our proposed policy changes, as well as statutory changes effective 
for FY 2027, on various hospital groups. We estimate the effects of 
individual proposed policy changes by estimating payments per case, 
while holding all other payment policies constant. We use the best data 
available, but, generally, unless specifically indicated, we do not 
attempt to make adjustments for future changes in such variables as 
admissions, lengths of stay, case mix, changes to the Medicare 
population, or incentives. In addition, we discuss limitations of our 
analysis for specific proposed policies in the discussion of those 
policies as needed.

E. Hospitals Included In and Excluded From the IPPS

    The prospective payment systems for hospital inpatient operating 
and capital related-costs of acute care hospitals encompass most 
general short-term, acute care hospitals that participate in the 
Medicare program. There were 26 Indian Health Service hospitals in our 
database, which we excluded from the analysis due to the special 
characteristics of the prospective payment methodology for these 
hospitals. Among other short term, acute care hospitals, hospitals in 
Maryland are paid in accordance with the AHEAD Model, and hospitals 
located outside the 50 States, the District of Columbia, and Puerto 
Rico (that is, 6 short-term acute care hospitals located in the U.S. 
Virgin Islands, Guam, the Northern Mariana Islands, and American Samoa) 
receive payment for inpatient hospital services they furnish on the 
basis of reasonable costs, subject to a rate-of-increase ceiling.
    As of March 2026, there were 3,013 IPPS acute care hospitals 
included in our analysis. This represents approximately 51 percent of 
all Medicare-participating hospitals. The majority of this impact 
analysis focuses on this set of hospitals. There also are approximately 
1,385 CAHs. These small, limited-service hospitals are paid on the 
basis of reasonable costs, rather than under the IPPS. IPPS-excluded 
hospitals and units, which are paid under separate payment systems, 
include IPFs, IRFs, LTCHs, RNHCIs, children's hospitals, cancer 
hospitals, extended neoplastic disease care hospital, and short-term 
acute care hospitals located in the Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa. Changes in the prospective payment 
systems for IPFs and IRFs are made through separate rulemaking. Payment 
impacts of changes to the prospective payment systems for these IPPS-
excluded hospitals and units are not included in this proposed rule. 
The impact of the proposed update and policy changes to the LTCH PPS 
for FY 2027 is discussed in section I.J. of this Appendix.

F. Quantitative Effects of the Policy Changes Under the IPPS for 
Operating Costs and Medicare DSH Uncompensated Care Payments

1. Basis and Methodology of Estimates
    In this proposed rule, we are announcing proposed policy changes 
and payment rate updates for the IPPS for FY 2027 for operating costs 
of acute care hospitals and for uncompensated care payments. The 
proposed FY 2027 updates to the capital payments to acute care 
hospitals are discussed in section I.I. of this Appendix. A more 
detailed analysis of the proposed update to uncompensated care payments 
is discussed in section I.G.2 of this Appendix.
    Based on the overall percentage change in payments per case 
estimated using our payment simulation model, we estimate that total FY 
2027 operating

[[Page 19840]]

payments including uncompensated care payments will increase by 1.2 
percent compared to FY 2026. The operating payment impacts generally do 
not reflect changes in the number of hospital admissions or real case-
mix intensity, which would also affect overall payment changes.
    We have prepared separate impact analyses of the proposed changes 
on the operating and capital prospective payment systems. This section 
primarily deals with the proposed changes to the operating inpatient 
prospective payment system for acute care hospitals. Our payment 
simulation model relies on the best available claims data to enable us 
to estimate the impacts on payments per case of certain proposed 
changes in this proposed rule. However, there are other proposed 
changes for which we do not have data available that would allow us to 
estimate the payment impacts using this model. For those changes, we 
have attempted to predict the payment impacts based upon our experience 
and other more limited data.
    The data used in developing the quantitative analyses of proposed 
changes in operating payments per case presented in this section are 
taken from the FY 2025 MedPAR file and the most current Provider-
Specific File (PSF) that is used for payment purposes. Although the 
analyses of the proposed changes to the operating PPS do not 
incorporate cost data, data from the best available hospital cost 
reports were used to categorize hospitals. Our analysis has several 
qualifications. First, in this analysis, we do not generally adjust for 
future changes in such variables as admissions, lengths of stay, or 
underlying growth in real case-mix. Second, due to the interdependent 
nature of the IPPS payment components, it is very difficult to 
precisely quantify the impact associated with each change. Third, we 
use various data sources to categorize hospitals in the tables. In some 
cases, particularly the number of beds, there is a fair degree of 
variation in the data from the different sources. We have attempted to 
construct these variables with the best available source overall. 
However, for individual hospitals, some miscategorizations are 
possible.
    Using cases from the FY 2025 MedPAR file, we simulate payments 
under the operating IPPS given various combinations of payment 
parameters. As described previously, Indian Health Service hospitals 
and hospitals in Maryland were excluded from the simulations. The 
impact of proposed payments under the capital IPPS, and the impact of 
proposed payments other than inpatient operating payments including 
uncompensated care payments are not analyzed in this section. Estimated 
payment impacts of the capital IPPS for FY 2027 are discussed in 
section I.I. of this Appendix.
    We discuss the following proposed changes:
     The estimated effects of outlier payments returning to 
their targeted levels in FY 2027 as compared to the estimated outlier 
payments for FY 2026 produced from our payment simulation model.
     The effects of the application of the proposed applicable 
percentage increase of 2.4 percent (that is, a proposed 3.2 percent 
market basket rate-of-increase with a reduction of 0.8 percentage point 
for the proposed productivity adjustment), and the proposed applicable 
percentage increase (including the proposed market basket rate-of-
increase and the proposed productivity adjustment) to the hospital-
specific rates.
     The effects of the proposed changes to estimated 
uncompensated care payments in FY 2027 as compared to FY 2026.
     The effects of the expiration of the special payment 
status for MDHs beginning January 1, 2027 under current law.
     The effects of the proposed changes to the relative 
weights and MS-DRG GROUPER.
     The effects of the proposed changes in hospitals' wage 
index values due to the effects of the proposed incorporation of 
updated wage data from hospitals' cost reporting periods and the 
proposed changes in wage index reclassifications.
     The total estimated change in payments based on the 
proposed FY 2027 policies relative to payments based on FY 2026 
policies.
    To illustrate the impact of the proposed FY 2027 changes, our 
analysis begins with a FY 2026 baseline simulation model using: the FY 
2026 national adjusted operating standardized amount; the FY 2026 MS-
DRG GROUPER (Version 43); the FY 2026 CBSA designations for hospitals 
based on the OMB definitions from the 2020 Census; the FY 2026 wage 
index, including the FY 2026 labor and nonlabor share percentages; FY 
2026 uncompensated care payments; and FY 2026 outlier payments which 
reflects our estimate of 6.0 percent of total operating MS-DRG and 
outlier payments as produced by our payment simulation model based on 
FY 2025 MedPAR data.
    Our comparison illustrates the proposed percent change in payments 
per case from FY 2026 to FY 2027. The update to the standardized amount 
is a significant factor in the percent change in payments per case. In 
accordance with section 1886(b)(3)(B)(i) of the Act, each year we 
update the national standardized amount for inpatient hospital 
operating costs by a factor called the ``applicable percentage 
increase.'' For FY 2027, depending on whether a hospital submits 
quality data under the rules established in accordance with section 
1886(b)(3)(B)(viii) of the Act (hereafter referred to as a hospital 
that submits quality data) and is a meaningful EHR user under section 
1886(b)(3)(B)(ix) of the Act (hereafter referred to as a hospital that 
is a meaningful EHR user), there are four proposed possible applicable 
percentage increases that can be applied to the national standardized 
amount. We refer readers to section VI.B. of the preamble of this 
proposed rule for a complete discussion of the FY 2027 inpatient 
hospital update, including the four proposed possible applicable 
percentage increases. For purposes of the simulations shown later in 
this section, we modeled the proposed payment changes for FY 2027 using 
a reduced update for hospitals that (1) failed to submit quality data 
but are meaningful EHR users; (2) are identified as not meaningful EHR 
users that do submit quality data; and (3) are identified as not 
meaningful EHR users that do not submit quality data. The reduced 
updates used for these hospitals are discussed previously and in 
section VI.B. of the preamble of this proposed rule and these hospitals 
are identified in the impact file posted in conjunction with this 
proposed rule.
    We note, section 1886(b)(3)(B)(iv) of the Act provides that the 
applicable percentage increase applicable to the hospital-specific 
rates for SCHs and MDHs equals the applicable percentage increase set 
forth in section 1886(b)(3)(B)(i) of the Act (that is, the same update 
factor as for all other hospitals subject to the IPPS). Because the Act 
sets the update factor for SCHs and MDHs equal to the update factor for 
all other IPPS hospitals, the update to the hospital-specific rates for 
SCHs and MDHs is subject to the amendments to section 1886(b)(3)(B) of 
the Act for hospitals that fail to submit quality data or are not a 
meaningful EHR users. Accordingly, the proposed applicable percentage 
increases to the hospital-specific rates applicable to SCHs and MDHs 
for FY 2027 are the same as the four proposed applicable percentage 
increases discussed in section VI.B. of the preamble of this proposed 
rule.

[[Page 19841]]

2. Impact Analysis of Proposed Changes on Payments for IPPS Operating 
Costs and Uncompensated Care Payments
    Table I displays the results of our analysis of the proposed 
changes for FY 2027 on payments for IPPS operating costs and 
uncompensated care payments. The table categorizes hospitals by various 
geographic and special payment consideration groups to illustrate the 
varying impacts on different types of hospitals. The top row of the 
table shows the overall impact on the acute care hospitals included in 
the analysis.
    The next two rows of Table I contain hospitals categorized 
according to their geographic location: urban and rural. The next two 
groupings are by bed-size categories, shown separately for urban and 
rural hospitals. The last groupings by geographic location are by 
census divisions, also shown separately for urban and rural hospitals.
    The second part of Table I shows hospital groups based on 
hospitals' FY 2027 payment classifications, including any 
reclassifications under sections 1886(d)(8) and 1886(d)(10) of the Act. 
For example, the rows labeled urban and rural show that the numbers of 
hospitals paid based on these categorizations after consideration of 
geographic reclassifications (including reclassifications under section 
1886(d)(8)(B) of the Act, also known as Lugar hospitals, and section 
1886(d)(8)(E) of the Act as implemented at 42 CFR 412.103).
    The next three groupings examine the impacts of the changes on 
hospitals grouped by whether or not they have GME residency programs 
(teaching hospitals that receive an IME adjustment) or receive Medicare 
DSH payments, or some combination of these two adjustments.
    In the DSH categories, hospitals are grouped according to their DSH 
payment status, and whether they are considered urban or rural for DSH 
payment purposes. The next category groups together hospitals 
considered urban or rural, in terms of whether they receive the IME 
adjustment, the DSH adjustment, both, or neither.
    The next six rows examine the impacts of the changes on rural 
hospitals by special payment groups (SCHs and MDHs) and 
reclassification status from urban to rural in accordance with section 
1886(d)(8)(E) of the Act.
    The next series of groupings are based on the type of ownership and 
the hospital's Medicare and Medicaid utilization expressed as a percent 
of total inpatient days. These data were taken from the most recent 
available Medicare cost reports.
    The next grouping concerns the geographic reclassification status 
of hospitals. The first subgrouping is based on whether a hospital is 
reclassified or not. The second and third subgroupings are based on 
whether urban and rural hospitals were reclassified by the MGCRB for FY 
2027 or not, respectively. The fourth subgrouping displays hospitals 
that reclassified from urban to rural in accordance with section 
1886(d)(8)(E) of the Act as implemented at 42 CFR 412.103. The fifth 
subgrouping displays hospitals deemed urban in accordance with section 
1886(d)(8)(B) of the Act, also known as Lugar hospitals.
BILLING CODE 4120-01-P

[[Page 19842]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.246


[[Page 19843]]


[GRAPHIC] [TIFF OMITTED] TP14AP26.247


[[Page 19844]]


[GRAPHIC] [TIFF OMITTED] TP14AP26.263


[[Page 19845]]


BILLING CODE 4120-01-C
a. Effects of the Outlier Adjustment (Column 1)
    This column reflects the effect of estimated outlier payments 
returning to their targeted levels in FY 2027 as compared to the 
estimated outlier payments for FY 2026 produced from our payment 
simulation model. As discussed in section II.A.4.i. of the Addendum to 
this proposed rule, the statute requires that outlier payments for any 
year are projected to be not less than 5 percent nor more than 6 
percent of total operating DRG payments plus outlier payments, and also 
requires that the average standardized amount be reduced by a factor to 
account for the estimated proportion of total DRG payments made to 
outlier cases. We continue to use a 5.1 percent target (or an outlier 
offset factor of 0.949) in calculating the outlier offset to the 
standardized amount, just as we did for FY 2026. Therefore, our 
proposed estimate of payments per discharge for FY 2027 from our 
payment simulation model reflects this 5.1 percent outlier payment 
target. Our payment simulation model shows that estimated outlier 
payments for FY 2026 were greater than that target by approximately 0.9 
percentage points.
    Overall, hospitals will experience a 0.7 percent decrease in 
payments primarily due to the estimated -0.9 percent change in outlier 
payments produced by our payment simulation model when returning to the 
5.1 percent outlier target for FY 2027 in combination with interactive 
effects among the various add-on payment factors.
b. Effects of the Proposed Hospital Update (Column 2)
    As discussed in section VI.B. of the preamble of this proposed 
rule, this column includes the proposed hospital update, including the 
proposed 3.2 percent IPPS market basket rate-of-increase reduced by 0.8 
percentage point for the proposed productivity adjustment. As a result, 
we are proposing to make a 2.4 percent update to the national 
standardized amount. This column also includes the proposed update to 
the hospital-specific rates which includes the proposed 3.2 percent 
market basket rate-of-increase reduced by 0.8 percentage point for the 
proposed productivity adjustment. As a result, we are proposing to make 
a 2.4 percent update to the hospital-specific rates. This column also 
includes any applicable adjustments for hospitals that fail to comply 
with the quality data submission requirements and/or are not meaningful 
EHR users.
    Overall, hospitals are expected to experience a 2.2 percent 
increase in payments primarily due to the combined effects of the 
proposed hospital update to the national standardized amount and the 
proposed hospital update to the hospital-specific rates.
c. Effects of the Expiration of MDH Special Payment Status (Column 3)
    Column 3 shows our estimate of the changes in payments due to the 
expiration of MDH status, a nonbudget neutral payment provision. 
Section 6202 of the Consolidated Appropriations Act, 2026 further 
extended the MDH program through December 31, 2026. Therefore, under 
current law, the MDH program will expire for discharges on or after 
January 1, 2027. Hospitals that qualify to be MDHs receive the higher 
of payments made based on the Federal rate or the payments made based 
on the Federal rate amount plus 75 percent of the difference between 
payments based on the Federal rate and payments based on the hospital-
specific rate (a hospital-specific cost-based rate). Because this 
provision is not budget neutral, the expiration of this payment 
provision is estimated to result in a 0.1 percent decrease in IPPS 
payments overall. There are currently 160 MDHs, of which we estimate 80 
would be paid under the blended payment of the Federal rate and 
hospital-specific rate if the MDH program were not set to expire. 
Because those 80 MDHs will no longer receive the blended payment and 
will be paid only under the Federal rate beginning January 1, 2027, it 
is estimated that those hospitals would experience an overall decrease 
in payments of approximately $110 million (relative to the MDH program 
payments they received for FY 2026 discharges).
d. Effects of the Proposed Changes in Uncompensated Care Payments (UCP) 
(Column 4)
    Column 4 shows the effects of the proposed changes in uncompensated 
care payments for eligible hospitals in FY 2027. As discussed in 
section IV.E. of the preamble of this proposed rule, the total proposed 
uncompensated care payments and proposed supplemental payments equal 
approximately $8.5 billion. Overall, hospitals would experience a 0.2 
percent decrease in total operating IPPS payments relative to FY 2026 
payments due to the proposed change in uncompensated care payments. For 
a more detailed impact analysis of the proposed changes to 
uncompensated care payments, we refer readers to section I.G.2 of 
appendix A to this proposed rule.
e. Effects of the Proposed Changes to the MS-DRG Reclassifications and 
Relative Cost-Based Weights With Recalibration Budget Neutrality 
(Column 5)
    Column 5 shows the effects of the proposed changes to the MS-DRGs 
and relative weights with the application of the proposed recalibration 
budget neutrality factor to the standardized amounts. Section 
1886(d)(4)(C)(i) of the Act requires us annually to make appropriate 
classification changes to reflect changes in treatment patterns, 
technology, and any other factors that may change the relative use of 
hospital resources. Consistent with section 1886(d)(4)(C)(iii) of the 
Act, we calculated a proposed recalibration budget neutrality factor to 
account for the changes in MS-DRGs and relative weights to ensure that 
the overall payment impact is budget neutral. We also applied the 
permanent 10-percent cap on the reduction in a MS-DRG's relative weight 
in a given year and an associated recalibration cap budget neutrality 
factor to account for the 10-percent cap on relative weight reductions 
to ensure that the overall payment impact is budget neutral.
    As discussed in section II.D. of the preamble of this proposed 
rule, for FY 2027, we calculated the proposed MS-DRG relative weights 
using the FY 2025 MedPAR data grouped to the proposed Version 44 (FY 
2027) MS-DRGs. The proposed reclassification changes to the GROUPER are 
described in more detail in section II.C. of the preamble of this 
proposed rule.
    The ``All Hospitals'' line in Column 5 indicates that changes due 
to the MS-DRGs and relative weights are expected to result in a 0.0 
percent change in payments with the application of the recalibration 
budget neutrality factor (discussed in section II.A.4.a. of the 
Addendum to this proposed rule) and the recalibration cap budget 
neutrality factor to the standardized amount (discussed in section 
II.A.4.b. of the Addendum to this proposed rule).
f. Effects of the Proposed Wage Index Changes (Column 6)
    Column 6 shows the impact of the proposed changes to hospitals' FY 
2027 wage index as compared to hospitals' FY 2026 wage index. Overall, 
the FY 2027 wage index changes are expected to lead to a 0.1 percent 
decrease for all hospitals, as shown in Column 6. This change is a 
result of the proposed updates to the wage data reported by hospitals, 
changes in the geographic

[[Page 19846]]

reclassifications of hospitals, and the interactions of those changes 
with statutory wage index floors and exceptions. We combine these 
changes because the complex and interactive ways in which hospitals 
increasingly seek to maximize their wage index values in a given year 
render isolation of these effects in a year-over-year context less 
informative. For example, the impact of the proposed updates to the 
wage data reported by hospitals in the absence of the changes in 
geographic reclassification and especially the interaction of both of 
those with statutory wage index floors and exceptions is less 
meaningful than showing the combined effect of those factors.
    Specifically, this column in Table I shows the combined effects of 
the application of the following proposed FY 2027 wage index changes 
relative to FY 2026:
(1) Effects of the Proposed Changes to the Wage Data
    Column 6 reflects the effects of the proposed updated wage data and 
the proposed labor and non-labor shares, with the application of the 
proposed wage index budget neutrality factor for FY 2027 relative to FY 
2026.
    Section 1886(d)(3)(E) of the Act requires that we annually update 
the wage data used to calculate the wage index. In accordance with this 
requirement, the proposed wage index for acute care hospitals for FY 
2027 is based on data submitted for hospital cost reporting periods, 
beginning on or after October 1, 2022, and before October 1, 2023. 
Column 6 reflects the proposed percentage change in payments when going 
from a model using the FY 2026 wage index based on FY 2026 
reclassifications and the FY 2026 labor-related share of 66.0 percent, 
to a model using the proposed FY 2027 wage index based on FY 2027 
reclassifications (as described in further detail in the next section) 
and the proposed labor-related share of 66.0 percent, while holding 
other payment parameters, such as use of the proposed Version 44 MS-DRG 
GROUPER, constant.
    In addition, the column incorporates the application of the 
proposed wage index budget neutrality to the national standardized 
amount. As discussed in section II.A.4.c. of the Addendum to this 
proposed rule, for FY 2027 we calculated the proposed wage index budget 
neutrality factor to ensure that payments under the proposed wage index 
calculated from the proposed updated wage data and the proposed labor-
related share of 66.0 percent are budget neutral, without regard to the 
lower share of 62 percent applied to hospitals with a wage index less 
than or equal to 1.0. This proposed budget neutrality factor can be 
found in the summary table of the proposed FY 2027 budget neutrality 
factors in section II.A.4. of the Addendum to this proposed rule.
(2) Effects of MGCRB, Urban to Rural, and ``Lugar'' Reclassifications
    Column 6 reflects the impact of MGCRB reclassification decisions 
under section 1886(d)(10) of the Act, urban to rural reclassifications 
under section 1886(d)(8)(E) of the Act, and Lugar status redesignations 
under section 1886(d)(8)(B) of the Act on the proposed wage index for 
FY 2027 relative to FY 2026. The overall effect of geographic 
reclassification is required by section 1886(d)(8)(D) of the Act to be 
budget neutral. Therefore, as discussed in section II.A.4.d. of the 
Addendum to this proposed rule, we apply a proposed reclassification 
budget neutrality adjustment to ensure that the effects of the 
reclassifications under sections 1886(d)(8)(B) and (C) and 1886(d)(10) 
of the Act are budget neutral. This proposed budget neutrality factor 
can be found in the summary table of the proposed FY 2027 budget 
neutrality factors in section II.A.4. of the Addendum to this proposed 
rule.
    Table 2 listed in section VI. of the Addendum to this proposed rule 
and available on the CMS website reflects the reclassifications for FY 
2027 at the time of development of this proposed rule. For further 
information on MGCRB reclassifications, urban to rural 
reclassifications and Lugar status redesignations, we refer readers to 
section III.E of the preamble of this proposed rule.
(3) The Effects of the Proposed Rural Floor, Including Proposed Budget 
Neutrality Adjustment
    Column 6 reflects the effects of the application of the proposed 
rural floor and the application of the proposed rural floor budget 
neutrality on the proposed wage index for FY 2027 relative to FY 2026. 
As discussed in section III.F.1. of the preamble of this proposed rule, 
section 4410 of Public Law 105-33 established the rural floor by 
requiring that the wage index for a hospital in any urban area cannot 
be less than the wage index applicable to hospitals located in rural 
areas in the same state. We apply a uniform budget neutrality 
adjustment to the wage index as discussed in section II.A.4.e. of the 
Addendum to this proposed rule. All IPPS hospitals in our model have 
their wage indexes reduced by the proposed rural floor budget 
neutrality adjustment. This proposed budget neutrality factor can be 
found in the summary table of the FY 2027 budget neutrality factors in 
section II.A.4. of the Addendum to this proposed rule.
(4) Effects the Application of the Proposed Imputed Floor, Proposed 
Frontier State Wage Index, and Proposed Out-Migration Adjustment
    Lastly, this column also reflects the combined effects of the 
application of the following non-budget neutral provisions for FY 2027 
relative to FY 2026: (a) the imputed floor under section 
1886(d)(3)(E)(iv)(I) and (II) of the Act for certain all-urban States 
(as discussed in section III.F.2. of the preamble of this proposed 
rule); (b) the minimum post-reclassified wage index of 1.00 for all 
hospitals located in ``frontier States'' as required by section 
1886(d)(3)(E)(iii) Act (as discussed in section III.F.3. of the 
preamble of this proposed rule); and (c) the effects of the proposed 
out-migration adjustment under section 1886(d)(13) of the Act (as 
discussed in section III.F.4. of the preamble of this proposed rule).
g. Effects of All Proposed FY 2027 Changes (Column 7)
    Column 7 shows our estimate of the proposed changes in payments per 
discharge from FY 2026 and FY 2027, resulting from all proposed changes 
for FY 2027 included in Table I. It includes the combined effects of 
the year-over-year change of the factors described in the previous 
columns in the table.
    The proposed average increase in payments under the IPPS for all 
hospitals is approximately 1.2 percent for FY 2027 relative to FY 2026, 
which is primarily driven by the proposed changes reflected in Column 1 
(proposed outlier payments), Column 2 (proposed hospital update) and 
Column 4 (proposed uncompensated care payments). As described in Column 
2, the proposed annual hospital update for hospitals paid under the 
national standardized amount, combined with the proposed annual 
hospital update for hospitals paid under the hospital-specific rates 
are expected to result in a 2.2 percent increase in payments in FY 2027 
relative to FY 2026 for all hospitals. As described in Column 4, 
proposed uncompensated care payments would result in a 0.2 percent 
decrease in payments in FY 2027 relative to FY 2026 for all hospitals.
    Overall payments to hospitals paid under the IPPS are estimated to 
increase by 1.2 percent for FY 2027 (as compared to FY 2026) due to the 
proposed outlier

[[Page 19847]]

adjustment, the proposed applicable percentage increase, the MDH 
program expiration, proposed uncompensated care payments, and proposed 
changes to the wage index. Hospitals in urban areas would experience a 
1.2 percent increase in payments per discharge in FY 2027 compared to 
FY 2026. Hospital payments per discharge in rural areas are estimated 
to increase by 0.8 percent in FY 2027. The relatively lower projected 
increase for rural hospitals is due in part to the MDH program 
expiration (Column 3) and the proposed MS-DRG and relative weight 
changes with the application of budget neutrality (Column 5). Hospital 
categories that generally treat relatively less complex cases, such as 
rural hospitals and smaller urban hospitals, are expected to experience 
a decrease in their payments, while hospitals that generally treat 
relatively more complex cases, such as larger urban hospitals, are 
expected to experience an increase in their payments as a result of the 
proposed changes to the relative weights.
3. Estimated Average Payments per Discharge
    Table II displays the results of our analysis of the proposed 
changes for FY 2027 on estimated average payments per discharge for 
IPPS operating costs and uncompensated care payments. It presents the 
impact for the categories of hospitals shown in Table I. It compares 
the estimated average payments per discharge for FY 2026 with the 
estimated average payments per discharge for FY 2027, as calculated 
under our models. It reflects the combined effects of the proposed 
changes presented in Table I, and therefore the estimated percentage 
changes shown in the last column of Table II equal the estimated 
percentage changes in average payments per discharge from Column 7 of 
Table I.
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G. Proposed Effects of Other Policy Changes

    In addition to those proposed policy changes discussed previously 
that we are able to model using our IPPS payment simulation model, we 
are proposing to make various other changes in this proposed rule. As 
noted in section I.D. of this Appendix, our payment simulation model 
uses the most recent available claims data to estimate the impacts on 
payments per case of certain proposed changes in this proposed rule. 
Generally, we have limited or no specific data available with which to 
estimate the impacts of these proposed changes using that payment 
simulation model. For these proposed changes, we have attempted to 
predict the payment impacts based upon our experience and other more 
limited data. Our estimates of the likely impacts associated with these 
other proposed changes are discussed in this section.
1. Effects of the Proposed Changes Relating to New Medical Service and 
Technology Add-On Payments
a. Proposed FY 2027 Status of Technologies Approved for FY 2026 New 
Technology Add-On Payments
    In section II.E.4. of the preamble of this proposed rule, we are 
proposing to continue to make new technology add-on payments for the 
technologies listed in the following table in FY 2027 because these 
technologies would still be considered new for purposes of new 
technology add-on payments. Under Sec.  412.88(a)(2), the new 
technology add-on payment for each case would be limited to the lesser 
of: (1) 65 percent of the costs of the new technology (or 75 percent of 
the costs for technologies designated as Qualified Infectious Disease 
Products (QIDPs) or approved under the Limited Population Pathway for 
Antibacterial and Antifungal Drugs (LPAD) pathway, or for the gene 
therapies, CasgevyTM (exagamglogene autotemcel) and 
LyfgeniaTM (lovotibeglogene autotemcel), when indicated and 
used specifically for the treatment of SCD, which were approved for new 
technology add-on payments in the FY 2025 IPPS/LTCH PPS final rule (89 
FR 69128 through 69135, and 89 FR 69188 through 69196)); or (2) 65 
percent of the amount by which the costs of the case exceed the 
standard MS-DRG payment for the case (or 75 percent of the amount for 
technologies designated as QIDPs; for technologies approved under the 
LPAD pathway; or for the gene therapies, CasgevyTM and 
LyfgeniaTM, when indicated and used specifically for the 
treatment of SCD, which were approved for new technology add-on 
payments in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69128 through 
69135, and 89 FR 69188 through 69196)). Because it is difficult to 
predict the actual new technology add-on payment for each case, our 
estimates in this proposed rule are based on the applicant's estimate 
at the time they submitted their original application and the increase 
in new technology add-on payments for FY 2027 as if every claim that 
would qualify for a new technology add-on payment would receive the 
maximum add-on payment.

[[Page 19850]]

    In the following table are estimates for the 41 new technology add-
on payments which we are proposing to continue in FY 2027:
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b. Proposed FY 2027 Applications for New Technology Add-On Payments
    In sections II.E.5. and 6. of the preamble to this proposed rule 
are 30 discussions of technologies with respect to add-on payments for 
new medical services and technologies for FY 2027. We note that of the 
47 applications (32 alternative and 15 traditional) we received, 17 
applicants (10 alternative and 7 traditional) either withdrew their 
applications or were not eligible for consideration for new technology 
add-on payment for FY 2027. As explained in the preamble to this 
proposed rule, add-on payments for new medical services and 
technologies under section 1886(d)(5)(K) of the Act are not required to 
be budget neutral.
    As discussed in section II.E.6. of the preamble of this proposed 
rule, under the alternative pathway for new technology add-on payments, 
new technologies that are medical products with a QIDP designation, 
approved through the FDA LPAD pathway, or are designated under the 
Breakthrough Device program will be considered not substantially 
similar to an existing technology for purposes of the new technology 
add-on payment under the IPPS, and will not need to demonstrate that 
the technology represents a substantial clinical improvement. These 
technologies must still be within the 2- to 3-year newness period, as 
discussed in section II.E.1.a.(1). of the preamble this proposed rule, 
and must also still meet the cost criterion.
    As fully discussed in section II.E.6. of the preamble of this 
proposed rule, we are proposing to approve 22 new technology add-on 
payments for the alternative pathway applications submitted for FY 2027 
new technology add-on payments.
    Based on preliminary information from the applicants at the time of 
this proposed rule, we estimate that total payments for the 
technologies that applied under the alternative pathway, if approved, 
would be approximately $589 million for FY 2027. Because cost or volume 
information has not yet been provided for 1 of the 22 technologies 
under the alternative pathway, we have not included that technology in 
the estimate. We note that the estimated payments may be updated in the 
final rule based on revised or additional information CMS receives 
prior to the final rule.
    We have not yet determined whether any of the technologies 
discussed in section II.E.5. of the preamble of this proposed rule will 
meet the criteria for new technology add-on payments for FY 2027 under 
the traditional pathway. Consequently, it is premature to estimate the 
potential payment impact of these technologies for any potential new 
technology add-on payments for FY 2027. We note that, as in past years, 
if any of the technologies that applied under the traditional pathway 
are found to be eligible for new technology add-on payments for FY 
2027, we would discuss the estimated payment impact for FY 2027 in the 
FY 2027 IPPS/LTCH PPS final rule.
2. Medicare DSH Uncompensated Care Payments and Supplemental Payment 
for Indian Health Service Hospitals and Tribal Hospitals and Hospitals 
Located in Puerto Rico
    As discussed in section V.E. of the preamble of this proposed rule, 
under section 3133 of the Affordable Care Act, hospitals that are 
eligible to receive Medicare DSH payments will receive 25 percent of 
the amount they previously would have received under the statutory 
formula for Medicare DSH payments under section 1886(d)(5)(F) of the 
Act. The remainder, equal to an estimate of 75 percent of what formerly 
would have been paid as Medicare DSH payments (Factor 1), reduced to 
reflect changes in the percentage of uninsured individuals (Factor 2), 
is available to make additional payments to each hospital that 
qualifies for Medicare DSH payments and that has reported uncompensated 
care. Each hospital that is eligible for Medicare DSH payments will 
receive an additional payment based on its estimated share of the total 
amount of uncompensated care for all hospitals eligible for Medicare 
DSH payments. The uncompensated care payment methodology has 
redistributive effects based on the proportion of a hospital's amount 
of uncompensated care relative to the aggregate amount of uncompensated 
care of all hospitals eligible for Medicare DSH payments (Factor 3). 
The change to Medicare DSH payments under section 3133 of the 
Affordable Care Act is not budget neutral.
    In this proposed rule, we are proposing to establish the amount to 
be distributed as uncompensated care payments (UCP) to DSH-eligible 
hospitals for FY 2027, which is $7,460,212,500. This figure represents 
75 percent of the amount that otherwise would have been paid for 
Medicare DSH payment adjustments adjusted by a Factor 2 of 65.00 
percent. For FY 2026, the amount available to be distributed for 
uncompensated care was $7,713,127,500, or 75 percent of the amount that 
otherwise would have been paid for Medicare DSH payment adjustments 
adjusted by a Factor 2 of 62.14 percent. In addition, eligible IHS/
Tribal hospitals and hospitals located in Puerto Rico are estimated to 
receive approximately $102,768,418.04 in supplemental payments in FY 
2027, based on the difference between each hospital's base year amount 
(that is, each hospital's FY 2022 UCP adjusted by 1 plus the percent 
change in the aggregate amount of uncompensated care payments between 
FYs 2022 and 2027) and its FY 2027 UCP. See 42 CFR 412.106(h)(3). If 
this difference is less than or equal to zero, the hospital will not 
receive a supplemental payment. For this proposed rule, the total 
proposed UCP and proposed supplemental payments equals approximately 
$7.563 billion. For FY 2027, we are proposing to use 3 years of data on 
uncompensated care costs from Worksheet S-10 of the FYs 2021, 2022, and 
2023 cost reports to calculate Factor 3 for all DSH-eligible hospitals, 
including IHS/Tribal hospitals and Puerto Rico hospitals. For a 
complete discussion regarding the methodology for calculating Factor 3 
for FY 2027, we refer readers to section V.E. of the preamble of this 
proposed rule. For a discussion regarding the methodology for 
calculating the supplemental payments, we refer readers to section V.D. 
of the preamble of this proposed rule.
    To estimate the impact of the combined effect of the proposed 
changes in Factors 1 and 2, as well as the changes to the data used in 
determining Factor 3, on the calculation of Medicare UCP along with 
changes to supplemental payments for IHS/Tribal hospitals and hospitals 
located in Puerto Rico, we compared total UCP and supplemental payments 
estimated in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36536) to the 
combined total of the proposed UCP and the proposed supplemental 
payments estimated in this FY 2027 IPPS/LTCH PPS proposed rule. For FY 
2026, we calculated 75 percent of the estimated amount that would be 
paid as Medicare DSH payments absent section 3133 of the Affordable 
Care Act, adjusted by a Factor 2 of 62.14 percent and multiplied by a 
Factor 3 calculated using the methodology described in the FY 2026 
IPPS/LTCH PPS final rule. For FY 2027, we calculated 75 percent of the 
estimated amount that would be paid as Medicare DSH payments during FY 
2026 absent section 3133 of the Affordable Care Act, adjusted by a 
proposed Factor 2 of 65.00 percent and multiplied by a Factor 3 
calculated using the methodology described

[[Page 19853]]

previously. For this proposed rule, the supplemental payments for IHS/
Tribal hospitals and Puerto Rico hospitals are calculated as the 
difference between the hospital's base year amount and the hospital's 
FY 2027 UCP.
    Our analysis included 2,318 hospitals that are projected to be DSH-
eligible in FY 2027. Our analysis did not include hospitals that had 
terminated their participation in the Medicare program as of February 
3, 2026, Maryland hospitals, new hospitals, and SCHs that are expected 
to be paid based on their hospital-specific rates. The 22 hospitals 
that are anticipated to be participating in the Rural Community 
Hospital Demonstration Program were also excluded from this analysis, 
as participating hospitals are not eligible to receive empirically 
justified Medicare DSH payments and UCP. In addition, the data from 
merged or acquired hospitals were combined under the surviving 
hospital's CMS certification number (CCN), and the non-surviving CCN 
was excluded from the analysis. The estimated impact of the proposed 
changes in Factors 1, 2, and 3 on UCP and supplemental payments for 
eligible IHS/Tribal hospitals and Puerto Rico hospitals across all 
hospitals projected to be DSH-eligible in FY 2027, by hospital 
characteristic, is presented in the following table:
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    The changes in projected FY 2027 UCP and supplemental payments 
compared to the total of UCP and supplemental payments in FY 2026 are 
driven by a decrease in Factor 1 and a slight increase in Factor 2. 
Proposed Factor 1 has decreased slightly from the FY 2026 final rule's 
Factor 1 of $12.412 billion to this proposed rule's Factor 1 of $11.477 
billion. Proposed Factor 2 has increased from the FY 2026 final rule's 
Factor 2 of 62.14 percent to this proposed rule's Factor 2 of 65.00 
percent. In addition, we note that there is a slight decrease in the 
number of projected DSH-eligible hospitals to 2,318 at the time of the 
development of this proposed rule compared to the 2,364 DSHs at the 
time of development of the FY 2026 IPPS/LTCH PPS final rule (90 FR 
36536). Based on the changes, the impact analysis found that, across 
all projected DSH-eligible hospitals, proposed FY 2027 UCP and proposed 
supplemental payments are estimated at approximately $7.563 billion, or 
a decrease of approximately 3.3 percent from FY 2026 UCP and 
supplemental payments (approximately $7.821 billion). While the changes 
would result in a net decrease in the proposed total amount available 
to be distributed in UCP and supplemental payments, the projected 
payment changes vary by hospital type. This redistribution of payments 
is caused by changes in Factor 3 and the amount of the supplemental 
payment for DSH-eligible IHS/Tribal hospitals and Puerto Rico 
hospitals. As seen in the previous table, a percent change greater than 
-3.3 percent indicates that hospitals within the specified category are 
projected to experience a smaller decrease in payments, on average, 
compared to the universe of projected FY 2026 DSH-eligible hospitals. 
Conversely, a percentage change less than -3.3 percent indicates that a 
hospital type is projected to have a larger decrease compared to the 
overall average. The variation in the distribution of overall payments 
by hospital characteristic is largely dependent on a given hospital's 
uncompensated care costs as reported on the Worksheet S-10 and used in 
the Factor 3 computation and whether the hospital is eligible to 
receive the supplemental payment.
    Rural hospitals, in general, are projected to experience a larger 
change in UCP compared to the decrease their urban counterparts are 
projected to experience. Overall, rural hospitals are projected to 
receive a -8.5 percent change in payments, while urban hospitals are 
projected to receive a -3.0 percent change in payments, which is 
slightly above the overall hospital average.
    By bed size, rural hospitals with 0 to 99 beds, 100 to 249 beds, 
and 250+ beds are projected to have percent change of approximately -
8.5 percent, -7.9 percent, and -10.8 percent, respectively. Among urban 
hospitals, the largest urban hospitals, those with 250+ beds, are 
projected to receive a decrease in payments (-2.5 percent). In 
contrast, smaller urban hospitals with 0-99 beds and 100-249 beds are 
projected to receive percent change in payments of -7.7 and -3.9 
percent, respectively.

[[Page 19856]]

    By region, rural hospitals are projected to receive a varied range 
of payment changes. Rural hospitals in New England are projected to 
receive an increase in payments and those in the Middle Atlantic region 
are projected to receive smaller than average decreases in payments. 
However, rural hospitals in all other regions including the Pacific, 
South Atlantic, East North Central, East South Central, West North 
Central, West South Central, and Mountain regions are projected to 
receive larger than average decreases in payments. Similarly, urban 
hospitals are projected to receive a varied range of payment changes. 
Urban hospitals in the Middle Atlantic and Mountain regions are 
projected to receive an increase in payments, and those in the New 
England, West North Central, and West South Central regions are 
projected to receive smaller than average decreases in payments. 
However, urban hospitals in South Atlantic, East North Central, East 
South Central, Pacific regions, and Puerto Rico are projected to 
receive larger than average decreases in payments.
    By payment classification, hospitals in urban payment areas overall 
are expected to receive a smaller than average change in UCP and 
supplemental payments of -2.6 percent. Hospitals in large urban payment 
areas are projected to receive a smaller than average change in 
payments (-1.8 percent), while other urban payment areas are projected 
to receive a larger than average change in payments of -3.8 percent. 
Hospitals in rural payment areas are projected to receive a larger than 
average change in payments of -3.8 percent.
    Nonteaching hospitals and teaching hospitals with fewer than 100 
residents are projected to receive average payment changes of -4.8 
percent and -4.4 percent, respectively. Teaching hospitals with 100+ 
residents are projected to receive an average payment change of -1.6 
percent. Voluntary hospitals and proprietary hospitals are projected to 
receive average changes of -3.7 percent and -5.6 percent, respectively, 
while government-owned hospitals are expected to receive a smaller than 
average payment change of -1.4 percent. Hospitals with less than 25 
percent Medicare utilization are projected to receive an average change 
of -2.5 percent, while hospitals with Medicare utilization between 25-
50 percent and 50-65 percent are projected to receive average payment 
changes of -6.8 percent and -7.8 percent, respectively. (Medicare 
utilization refers to a hospital's Medicare days divided by a 
hospital's total inpatient days.) We note that there is one hospital 
with greater than 65 percent Medicare utilization that did not have UCP 
in FY 2026 and is projected to have no UCP in FY 2027. Thus, there is a 
zero percent change in payments for this hospital. Hospitals with 25-50 
percent Medicaid utilization, those with 50-65 percent Medicaid 
utilization, and those with greater than 65 percent Medicaid 
utilization are projected to receive smaller than average changes in 
payments of -2.5 percent, -0.5 percent and 0.8 percent, respectively. 
Hospitals with less than 25 percent Medicaid utilization are projected 
to receive an average change of -4.7 percent. (Medicaid utilization 
refers to a hospital's Medicaid days divided by a hospital's total 
inpatient days.)
    The impact table reflects the proposed FY 2027 UCP and proposed 
supplemental payments for IHS/Tribal and Puerto Rico hospitals. We note 
that the proposed supplemental payments to IHS/Tribal hospitals and 
Puerto Rico hospitals are estimated to be approximately $102.8 million 
in FY 2027.
3. Effects of Expiration of Temporary Changes to the Low-Volume 
Hospital Payment Policy
    In section V.D. of the preamble of this proposed rule, we discuss 
the extension of the temporary changes to the low-volume hospital 
payment policy originally provided for by the Affordable Care Act and 
extended by subsequent legislation. Specifically, section 6201 of the 
Consolidated Appropriations Act, 2026 further extended the modified 
definition of low-volume hospital and the methodology for calculating 
the payment adjustment for low-volume hospitals under section 
1886(d)(12) through December 31, 2026.
    Beginning January 1, 2027, the low-volume hospital qualifying 
criteria and payment adjustment will revert to the statutory 
requirements that were in effect prior to FY 2011, and the preexisting 
low-volume hospital payment adjustment methodology and qualifying 
criteria, as implemented in FY 2005, will resume. Therefore, absent 
further Congressional action, effective for the portion of FY 2027 
occurring on or after January 1, 2027, FY 2028 and subsequent years, in 
order to qualify as a low-volume hospital, a subsection (d) hospital 
must be more than 25 road miles from another subsection (d) hospital 
and have less than 200 discharges (that is, less than 200 discharges 
total, including both Medicare and non-Medicare discharges) during the 
fiscal year.
    Using the same methodology used in developing the quantitative 
analyses of changes in payments per case discussed previously in 
section I.G. of Appendix A of this proposed rule, based upon the best 
available data at this time, we estimate the expiration of the 
temporary changes to the low-volume hospital payment policy effective 
for discharges occurring on or after January 1, 2027, and subsequent 
years would decrease aggregate low-volume hospital payments by $258 
million in FY 2027 as compared to FY 2026. This payment estimate was 
determined based on the estimated payments for the approximately 589 
providers that are expected to no longer qualify under the criteria 
that are effective beginning on January 1, 2027.
    Of those 589 hospitals, currently approximately 90 hospitals have a 
low-volume hospital payment adjustment based on 500 or fewer total 
discharges, while the remaining approximately 499 hospitals have an 
adjustment based on having between 500 and 3,800 total discharges. 
Approximately 55 of the 589 hospitals that currently qualify for a low-
volume hospital payment adjustment in FY 2026 have 200 or fewer total 
discharges. However, the distance information needed to project whether 
those hospitals are more than 25 road miles from another subsection (d) 
hospital (instead of 15 road miles), and therefore would continue to 
qualify for a low-volume hospital payment adjustment for FY 2027, is 
evaluated by each hospitals' MAC. Therefore, we are unable to estimate 
how many of these 55 hospitals would continue to qualify for the low-
volume hospital payment adjustment for FY 2027.
4. Effects of Proposed Requirements To Prohibit Unlawful Discrimination 
by GME and NAH Education Programs.
    In section V.F.2. of the preamble of this proposed rule, we discuss 
our proposal to require that, in addition to meeting other applicable 
requirements, an approved medical residency training program must not 
discriminate, or promote or encourage discrimination, on the basis of 
race, color, national origin, sex, age, disability, or religion, 
including the use of those characteristics or intentional proxies for 
those characteristics as a selection criterion for employment, program 
participation, resource allocation, or similar activities, 
opportunities, or benefits. In section V.G.3. of the preamble of this 
proposed rule, we discuss similar proposals with respect to approved 
nursing and allied health education programs and accreditors. The 
effective date of these policies

[[Page 19857]]

would be October 1, 2026. We believe that, as of October 1, 2026, no 
approved programs or accrediting bodies would continue to or newly 
engage in unlawful discrimination on the basis of race or other 
protected characteristics.
5. Effects of Proposed Changes for Determining Net Costs of Approved 
NAH Education Programs
    In section V.G.4. of this proposed rule, we discuss our proposal to 
revise the regulations at 42 CFR 413.85(d)(2) to state that tuition and 
other revenue must be subtracted from the allowable direct costs of a 
hospital's NAH education programs prior to the allocation of indirect 
costs. This proposal stems from an adverse ruling by the U.S. District 
Court for the District of Columbia in Mercy Health--St. Vincent Medical 
Center LLC d/b/a Mercy St. Vincent Medical Center v. Becerra, 717 F. 
Supp. 3d 33 (D.D.C. 2024). In addition, we clarify our existing 
policies regarding the nature of allowable indirect NAH costs and 
propose to require hospitals with approved, provider-operated NAH 
education programs to follow specific procedures to ensure correct 
allocation of indirect costs to the NAH cost centers. We are unable to 
estimate the financial impact of the proposed changes to the 
regulations text and the allocation process since, with the exception 
of the plaintiffs in the Mercy St. Vincent litigation, it is unclear 
what cost reporting procedures hospitals would employ in the absence of 
this rulemaking.
6. Effects Under the Hospital Readmissions Reduction Program for FY 
2027
    In section V.I. of the preamble of this proposed rule, we are 
proposing to add sepsis as an applicable condition beginning with the 
FY 2029 program year; the remaining policies finalized in FY 2026 IPPS/
LTCH PPS final rule (90 FR 36923) continue to apply. As finalized in 
the FY 2026 IPPS/LTCH PPS final rule (90 FR 36923 through 36929), we 
will integrate Medicare Advantage beneficiaries into the cohorts of the 
Hospital Readmissions Reduction Program measure set and reduce the 
applicable period from 3 years to 2 years beginning with the FY 2027 
program year.
    In section V.I.2.b. of the preamble of this proposed rule, we 
discuss our proposal to adopt the Hospital 30-Day, All-Cause, Risk-
Standardized Readmission Rate Following Sepsis Hospitalization measure 
beginning with the FY 2029 program year. While we state in section 
XII.B.1. of the preamble of this proposed rule that adopting this 
measure would not result in any change in information collection 
burden, we acknowledge that hospitals not currently providing the types 
of discharge planning and care coordination services that would be 
expected to minimize readmissions may incur other financial impacts 
such as updating policies and procedures, increased governance and 
oversight, and staff training in order to do so. We also recognize that 
most hospitals have already established standard evidence-based sepsis 
protocols as part of their existing quality improvement and patient 
safety frameworks. As such, hospitals are generally well-positioned 
with respect to the acute clinical management of sepsis, and the 
additional burden associated with this proposal is more likely to 
center on post-discharge care coordination and transition planning 
rather than inpatient sepsis treatment protocols. However, because each 
hospital is unique and we lack insight into what services each may 
already offer or would elect to offer if this proposal is finalized, we 
are unable to estimate the costs associated with these impacts. We 
request public comment on financial impacts related to post-discharge 
coordination, transition planning, or other areas associated with the 
acute clinical management of sepsis that hospitals may incur if this 
proposal is finalized.
    The Hospital Readmissions Reduction Program requires a reduction to 
a hospital's base operating diagnosis-related group (DRG) payments to 
account for excess readmissions of selected applicable conditions and 
procedures. The table and analysis in this section illustrate the 
estimated financial impact of the Hospital Readmissions Reduction 
Program payment adjustment methodology by hospital characteristic. 
Hospitals are sorted into quintiles based on the proportion of dual-
eligible stays among Medicare Fee-For-Service and managed care (that 
is, Medicare Advantage) stays between July 1, 2021, and June 30, 2023. 
Hospitals' excess readmission ratios (ERRs)--based on the data used to 
calculate preliminary Medicare Advantage and Medicare Fee-for-Service 
readmission measure results from January 1, 2022, through December 31, 
2023--are assessed relative to their peer group median. A neutrality 
modifier is applied in the payment adjustment factor calculation to 
maintain budget neutrality. In the FY 2027 IPPS/LTCH PPS final rule, we 
will provide an updated estimate of the financial impact using the 
proportion of dually-eligible beneficiaries, ERRs, and aggregate 
payments for each condition/procedure and all discharges for applicable 
hospitals from the FY 2027 Hospital Readmissions Reduction Program 
applicable period (that is, July 1, 2023, through June 30, 2025).
    The results in Table I.G.6.-01 include 2,832 non-Maryland hospitals 
estimated as eligible to receive a penalty during the performance 
period. Hospitals are eligible to receive a penalty if they have 25 or 
more eligible discharges for at least one measure between January 1, 
2022, and December 31, 2023. The third column in Table I.G.6.-01 
indicates the total number of non-Maryland hospitals with available 
data for each characteristic that have an estimated payment adjustment 
factor less than 1 (that is, penalized hospitals).
    The fourth column in Table I.G.6.-01 indicates the estimated 
percentage of penalized hospitals among those eligible to receive a 
penalty by hospital characteristic. For example, 78.64 percent of 
eligible hospitals characterized as non-teaching hospitals are expected 
to be penalized. Among teaching hospitals, 87.93 percent of eligible 
hospitals with fewer than 100 residents and 93.90 percent of eligible 
hospitals with 100 or more residents are expected to be penalized. The 
fifth column in Table I.G.6.-01 estimates the financial impact on 
hospitals by hospital characteristic. Table I.G.6.-01 also shows the 
share of penalties as a percentage of all base operating DRG payments 
for hospitals with each characteristic. This is calculated as the sum 
of penalties for all hospitals with that characteristic over the sum of 
all base operating DRG payments for those hospitals between October 1, 
2022, through September 30, 2023 (FY 2023). For example, the penalty as 
a share of payments for non-teaching hospitals is 0.51 percent. This 
means that total penalties for all non-teaching hospitals are 0.51 
percent of total payments for non-teaching hospitals. Measuring the 
financial impact on hospitals as a percentage of total base operating 
DRG payments accounts for differences in the amount of base operating 
DRG payments for hospitals with the characteristic when comparing the 
financial impact of the program on different groups of hospitals.
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7. Effects of Proposed Changes Under the FY 2027 Hospital Value-Based 
Purchasing Program
    The Secretary makes value-based incentive payments to hospitals 
under the Hospital Value-Based Purchasing Program based on their 
performance on measures during the performance period with respect to a 
fiscal year. These incentive payments will be funded for FY 2027 
through a reduction to the FY 2027 base operating DRG payment amount 
for hospital discharges for such fiscal year, as required by section 
1886(o)(7)(B) of the Act. The applicable percentage for FY 2027 and 
subsequent years is 2 percent. The total amount available for value-
based incentive payments must be equal to the total amount of reduced 
payments for all hospitals for the fiscal year, as estimated by the 
Secretary. In section V.J.1.b. of the preamble of this proposed rule, 
we estimate the available pool of funds for value-based incentive 
payments in the FY 2027 program year, which, in accordance with section 
1886(o)(7)(C)(v) of the Act, will be 2.00 percent of base operating DRG 
payments, or a total of approximately $1.9 billion. This estimated 
available pool for FY 2027 is based on the historical pool of hospitals 
that were eligible to participate in the FY 2026 program year and the 
payment information from the December 2025 update to the FY 2025 MedPAR 
file.
    The proposed estimated impacts of the FY 2027 program year by 
hospital characteristic, found in Table I.G.8.-01, are based on 
historical TPSs. We used the FY 2026 program year's TPSs to calculate 
the proxy adjustment factors used for this impact analysis. These are 
the most recently available scores that hospitals were given an 
opportunity to review and correct. The proxy adjustment factors use 
estimated annual base operating DRG payment amounts derived from the 
December 2025 update to the FY 2025 MedPAR file. The proxy adjustment 
factors can be found in Table 16 associated with this proposed rule 
(available via the internet on the CMS website).
    The proposed estimated impact analysis shows that, for the FY 2027 
program year, the number of hospitals with a positive percent change in 
base operating DRG (51.5 percent) is higher than the number of 
hospitals with a negative percent change (48.5 percent). Approximately 
half of all hospitals experience a percent change in base operating DRG 
between -2.1 percent and 0.0 percent. On average, both urban hospitals 
in the West North Central region and rural hospitals in the Pacific 
region have the highest positive percent change in base operating DRG. 
Urban hospitals in the Middle Atlantic, South Atlantic, and East South 
Central regions experience an average negative percent change in base 
operating DRG. All other regions (both urban and rural) experience an 
average positive percent change in base operating DRG. Hospitals in 
higher MCR percent categories have higher average net percentage 
payment increases compared to hospitals with lower MCR percent. 
Hospitals in higher DSH percent categories (50-64 and 65 and over) have 
negative average net percentage payment, compared to hospitals in the 
lower DSH categories. On average, non-teaching hospitals have a higher 
percent change in base operating DRG compared to teaching hospitals.

[[Page 19860]]

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BILLING CODE 4120-01-C
    The actual FY 2027 program year's TPSs will not be reviewed and 
corrected by hospitals until after the FY 2027 IPPS/LTCH PPS final rule 
has published. Therefore, the same historical universe of eligible 
hospitals and corresponding TPSs from the FY 2026 program year would be 
used for the updated impact analysis in the final rule, if the 
proposals, as previously described, for FY 2027 are not finalized.
8. Effects of Requirements Under the Hospital-Acquired Condition 
Reduction Program for FY 2027
    We present the estimated impact of the FY 2027 Hospital-Acquired 
Condition (HAC) Reduction Program on hospitals by hospital 
characteristic based on previously adopted policies for the program. We 
are not proposing to add or remove any measures from the HAC Reduction 
Program in this proposed rule, nor are we proposing any changes to 
reporting or submission requirements. Table I.G.8.-01 in this

[[Page 19861]]

section presents the estimated proportion of hospitals in the worst-
performing quartile of Total HAC Scores by hospital characteristic. 
Hospitals' CMS Patient Safety and Adverse Events Composite (CMS PSI 90) 
measure results are based on Medicare fee-for-service (FFS) discharges 
from July 1, 2022, through June 30, 2024, and version 15.0 of the PSI 
software. Hospitals' measure results for Centers for Disease Control 
and Prevention (CDC) Central Line-Associated Bloodstream Infection 
(CLABSI), Catheter-Associated Urinary Tract Infection (CAUTI), Colon 
and Abdominal Hysterectomy Surgical Site Infection (SSI), Methicillin-
resistant Staphylococcus aureus (MRSA) bacteremia, and Clostridium 
difficile Infection (CDI) are derived from standardized infection 
ratios (SIRs) calculated with hospital surveillance data reported to 
the CDC's National Healthcare Safety Network (NHSN) for infections 
occurring between January 1, 2023, and December 31, 2024. Hospital 
characteristics are based on the FY 2026 IPPS Proposed Rule Impact 
File.
    Table I.G.8.-01 includes 2,891 non-Maryland hospitals with an 
estimated FY 2027 Total HAC Score based on the most recently available 
data at the time of publication of this proposed rule. Maryland 
hospitals and hospitals without a Total HAC Score are excluded from the 
table. Actual results for FY 2027 will be determined in the fall of 
2026 after a 30-day review and corrections period for hospitals to 
review their program results. The first column presents a breakdown of 
each characteristic and the second column indicates the number of 
hospitals for the respective characteristic.
    The third column in Table I.G.8.-01 indicates the estimated number 
of hospitals for each characteristic that would be in the worst-
performing quartile of Total HAC Scores. For example, with regard to 
teaching status, 401 hospitals out of 1,620 hospitals characterized as 
non-teaching hospitals would be subject to a payment reduction. Among 
teaching hospitals, 210 out of 959 hospitals with fewer than 100 
residents and 100 out of 295 hospitals with 100 or more residents would 
be subject to a payment reduction.
    The fourth column in Table I.G.8.-01 indicates the estimated 
proportion of hospitals for each characteristic that would be in the 
worst performing quartile of Total HAC Scores and thus receive a 
payment reduction under the FY 2027 HAC Reduction Program. For example, 
24.8 percent of the 1,620 hospitals characterized as non-teaching 
hospitals, 21.9 percent of the 959 teaching hospitals with fewer than 
100 residents, and 33.9 percent of the 295 teaching hospitals with 100 
or more residents would be subject to a payment reduction.
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9. Implementation of the Rural Community Hospital Demonstration (RCHD) 
Program in FY 2027
    In section V.L.2 of the preamble of this proposed rule for FY 2027, 
we discussed our general budget neutrality methodology for section 410A 
of Public Law 108173, as amended by sections 3123 and 10313 of Public 
Law 111-148, by section 15003 of Public Law 114-255, and most recently, 
by section 128 of Public Law 116-260, which requires the Secretary to 
conduct a demonstration that would modify payments for inpatient 
services for up to 30 rural hospitals.
    Section 128 of Public Law 116-260 requires the Secretary to conduct 
the Rural Community Hospital Demonstration for a 15-year extension 
period (that is, for an additional 5 years beyond the previous 
extension period). In addition, the statute provides for continued 
participation for all hospitals participating in the demonstration 
program as of December 30, 2019.
    Section 410A(c)(2) of Public Law 108-173, as amended, requires that 
in conducting the demonstration program under this section, the 
Secretary shall ensure that the aggregate payments made by the 
Secretary do not exceed the amount which the Secretary would have paid 
if the demonstration program under this section was not implemented 
(budget neutrality). To ensure budget neutrality, we propose to 
continue with the general methodology used in previous years, whereby 
we estimated the additional payments made by the program for each of 
the participating hospitals as a result of the demonstration and then 
adjusted the national IPPS rates by an amount sufficient to account for 
the added costs of this demonstration. This proposed methodology 
applies budget neutrality across the payment system as a whole rather 
than across the participants of this demonstration. The language of the 
statutory budget neutrality requirement permits the agency to implement 
the budget neutrality provision in this manner. The statutory language 
requires that aggregate payments made by the Secretary do not exceed 
the amount which the Secretary would have paid if the demonstration was 
not implemented but does not identify the range across which aggregate 
payments must be held equal.
    For this proposed rule, we are not yet able to finalize the 
estimated FY 2027 costs of the demonstration at this time, based on 
available ``as submitted'' cost reports to apply the budget neutrality 
offset to the national IPPS rates as we have done in previous years.
    In previous years, we have also incorporated a second component 
into the budget neutrality offset amounts identified in the IPPS/LTCH 
PPS final rules. As finalized cost reports became available, we 
determined the amount by which the actual costs of the demonstration 
for an earlier given year differed from the estimated costs for the 
demonstration set forth in the IPPS/LTCH PPS final rule for the 
corresponding fiscal year, and we incorporated that amount into the 
budget neutrality offset amount for the upcoming fiscal year. We have 
calculated this difference for FYs 2018 through 2020 between the actual 
costs of the demonstration as determined from finalized cost reports 
once available, and estimated costs of the demonstration as identified 
in the applicable IPPS/LTCH PPS final rules for these years.
    With the extension of the demonstration for another 5-year period, 
as authorized by section 128 of Public Law 116-260, we propose to 
continue with this general procedure. As stated, for the FY2027 
proposed rule, we are not yet able to finalize the estimated the FY 
2027 costs of the demonstration. Therefore, we are not proposing to 
apply a budget neutrality offset for the FY 2027 IPPS/LTCH PPS proposed 
rule. Instead, we are proposing to apply both the FY 2027 and FY 2028 
estimated costs of the demonstration into the budget neutrality offset 
to national IPPS rates in the FY 2028 IPPS/LTCH PPS proposed rule. 
Consistent with our methods in previous years, these estimates will 
also include the difference between estimated costs and actual costs 
for the demonstration for FY 2021 and FY 2022 in the budget offset 
amount. We invite public comments.
10. Effects of Continued Implementation of the Frontier Community 
Health Integration Project (FCHIP) Demonstration
    In section VII.C.2 of the preamble of this proposed rule we discuss 
the implementation of the FCHIP Demonstration, which was authorized 
under section 123 of the Medicare Improvements for Patients and 
Providers Act of 2008 (Pub. L. 110-275), as amended by section 3126 of 
the Affordable Care Act of 2010 (Pub. L. 114-158), and most recently 
re-authorized and extended by the Consolidated Appropriations Act of 
2021 (Pub. L. 116-260). The legislation authorized a demonstration 
project to allow eligible entities to develop and test new models for 
the delivery of health care in order to improve access to and better 
integrate the delivery of acute care, extended care and other health 
care services to Medicare beneficiaries in certain rural areas. The 
FCHIP demonstration initial period was conducted in 10 critical access 
hospitals (CAHs) from August 1, 2016, to July 31, 2019, and the 
demonstration ``extension period'' began on January 1, 2022, to run 
through June 30, 2027. Section 123(g)(1)(B) of Public Law 110-275 
required that the demonstration be budget neutral. Specifically, this 
provision stated that, in conducting the demonstration project, the 
Secretary shall ensure that the aggregate payments made by the 
Secretary do not exceed the amount which the Secretary estimates would 
have been paid if the demonstration project under the section were not 
implemented. Budget neutrality estimates for the demonstration 
described in the preamble of this proposed rule are based on the 
demonstration extension period.
    As described in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36971 
through 36975), CMS waived certain Medicare rules for CAHs 
participating in the demonstration extension period to allow for 
alternative reasonable cost-based payment methods in the three distinct 
intervention service areas: telehealth services, ambulance services, 
and skilled nursing facility/nursing facility services. These waivers 
were implemented with the goal of increasing access to care with no net 
increase in costs. As we explained in the FY 2026

[[Page 19864]]

IPPS/LTCH PPS final rule (90 FR 36971 through 36975), section 129 of 
Public Law 116-260, stipulates that only the 10 CAHs that participated 
in the initial period of the FCHIP Demonstration are eligible to 
participate during the extension period. Among the eligible CAHs, five 
elected to participate in the extension period. The selected CAHs are 
located in two states--Montana and North Dakota--and are implementing 
the three intervention services.
    As explained in the FY 2026 IPPS/LTCH PPS final rule, we based our 
selection of CAHs for participation in the demonstration with the goal 
of maintaining the budget neutrality of the demonstration on its own 
terms meaning that the demonstration would produce savings from reduced 
transfers and admissions to other health care providers, offsetting any 
increase in Medicare payments as a result of the demonstration. 
However, because of the small size of the demonstration and uncertainty 
associated with the projected Medicare utilization and costs, the 
policy we finalized for the demonstration extension period of 
performance in the FY 2026 IPPS/LTCH PPS final rule provides a 
contingency plan to ensure that the budget neutrality requirement in 
section 123 of Public Law 110-275 is met.
    In the FY 2026 IPPS/LTCH PPS final rule, we adopted the same budget 
neutrality policy contingency plan used during the demonstration 
initial period to ensure that the budget neutrality requirement in 
section 123 of Public Law 110-275 is met during the demonstration 
extension period. If analysis of claims data for Medicare beneficiaries 
receiving services at each of the participating CAHs, as well as from 
other data sources, including cost reports for the participating CAHs, 
shows that increases in Medicare payments under the demonstration 
during the 5-year extension period is not sufficiently offset by 
reductions elsewhere, we will recoup the additional expenditures 
attributable to the demonstration through a reduction in payments to 
all CAHs nationwide.
    As explained in the FY 2026 IPPS/LTCH PPS final rule (90 FR 36971 
through 36975), because of the small scale of the demonstration, we 
indicated that we did not believe it would be feasible to implement 
budget neutrality for the demonstration extension period by reducing 
payments to only the participating CAHs. Therefore, in the event that 
this demonstration extension period is found to result in aggregate 
payments in excess of the amount that would have been paid if this 
demonstration extension period were not implemented, CMS policy is to 
comply with the budget neutrality requirement finalized in the FY 2026 
IPPS/LTCH PPS final rule, by reducing payments to all CAHs, not just 
those participating in the demonstration extension period.
    In the FY 2026 IPPS/LTCH PPS final rule, we stated that we believe 
it is appropriate to make any payment reductions across all CAHs 
because the FCHIP Demonstration was specifically designed to test 
innovations that affect delivery of services by the CAH provider 
category. As we explained in the FY 2026 IPPS/LTCH PPS final rule, we 
believe that the language of the statutory budget neutrality 
requirement at section 123(g)(1)(B) of Public Law 110-275 permits the 
agency to implement the budget neutrality provision in this manner. The 
statutory language merely refers to ensuring that aggregate payments 
made by the Secretary do not exceed the amount which the Secretary 
estimates would have been paid if the demonstration project was not 
implemented and does not identify the range across which aggregate 
payments must be held equal.
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45323 through 
45328), CMS concluded that the initial period of the FCHIP 
Demonstration had satisfied the budget neutrality requirement described 
in section 123(g)(1)(B) of Public Law 110-275. Therefore, CMS did not 
apply a budget neutrality payment offset policy for the initial period 
of the demonstration. As explained in the FY 2022 IPPS/LTCH PPS final 
rule, we finalized a policy to address the demonstration budget 
neutrality methodology and analytical approach for the initial period 
of the demonstration. In the FY 2026 IPPS/LTCH PPS final rule, we 
finalized a policy to adopt the same budget neutrality methodology and 
analytical approach used during the demonstration initial period to be 
used for the demonstration extension period. As stated in the FY 2026 
IPPS/LTCH PPS final rule (90 FR 36971 through 36975), our policy for 
implementing the 5-year extension period for section 129 of Public Law 
116-260 follows same budget neutrality methodology and analytical 
approach as the demonstration initial period methodology. While we 
expect to use the same methodology that was used to assess the budget 
neutrality of the FCHIP Demonstration during the initial period of the 
demonstration to assess the financial impact of the demonstration 
during this extension period, upon receiving data for the extension 
period, we may update and/or modify the FCHIP budget neutrality 
methodology and analytical approach to ensure that the full impact of 
the demonstration is appropriately captured. Therefore, we are not 
proposing to apply a budget neutrality payment offset to payments to 
CAHs in FY 2027. This policy will have no impact for any national 
payment system for FY 2027.
11. Proposed Effects of the Transforming Episode Accountability Model 
(TEAM)
    In section X.A. of the preamble of this proposed rule, we discuss 
testing the mandatory episode-based payment model titled the 
Transforming Episode Accountability Model (TEAM) under the authority of 
the CMS Center for Medicare and Medicaid Innovation (CMS Innovation 
Center). Section 1115A of the Act authorizes the CMS Innovation Center 
to test innovative payment and service delivery models that preserve or 
enhance the quality of care furnished to Medicare, Medicaid, and 
Children's Health Insurance Program beneficiaries while reducing 
program expenditures. The intent of TEAM is to improve beneficiary care 
through financial accountability for episode categories that begin with 
one of the following procedures: coronary artery bypass graft, lower 
extremity joint replacement, major bowel procedure, surgical hip/femur 
fracture treatment, and spinal fusion. TEAM will test whether financial 
accountability for these episode categories reduces Medicare 
expenditures while preserving or enhancing the quality of care for 
Medicare beneficiaries. We anticipate that TEAM will benefit Medicare 
beneficiaries through improving the coordination of items and services 
paid for through Medicare fee-for-service (FFS) payments, encouraging 
provider investment in health care infrastructure and redesigned care 
processes, and incentivizing higher value care across the inpatient and 
post-acute care settings for the episode.
    As finalized in the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986), 
with subsequent updates made in the FY 2026 IPPS/LTCH PPS final rule 
(90 FR 36536), TEAM is mandatory for acute care hospitals located 
within mandatory CBSAs and includes acute care hospitals that were 
eligible for voluntary opt-in participation.\6\ TEAM began on

[[Page 19865]]

January 1, 2026, and will end on December 31, 2030. Payment approaches 
that hold providers accountable for episode cost and performance can 
potentially create incentives for the implementation and coordination 
of care redesign between participants and other providers and suppliers 
such as physicians and post-acute care providers. We anticipate TEAM 
will enable hospitals to consider the most appropriate strategies for 
care redesign, including (1) increasing post-hospitalization follow-up 
and medical management for patients; (2) coordinating care across the 
inpatient and post-acute care spectrum; (3) conducting appropriate 
discharge planning; (4) improving adherence to treatment or drug 
regimens; (5) reducing readmissions and complications during the post-
discharge period; (6) managing chronic diseases and conditions that may 
be related to the episodes; (7) choosing the most appropriate post-
acute care setting; and (8) coordinating between providers and 
suppliers such as hospitals, physicians, and post-acute care providers.
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    \6\ Acute care hospitals that participate in the BPCI Advanced 
or the CJR model, that are not located in a mandatory CBSA selected 
for TEAM participation, and continue to participate in BPCI Advanced 
or CJR until the last day of the last performance period or last 
performance year of the respective model, were eligible to 
voluntarily opt into TEAM.
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    Under TEAM, TEAM participants continue to bill Medicare under the 
traditional FFS system for items and services furnished to Medicare FFS 
beneficiaries. The TEAM participant may receive a reconciliation 
payment from CMS if Medicare FFS expenditures for a performance year 
are less than the reconciliation target price, subject to a quality 
adjustment. TEAM does not have downside risk for Track 1, meaning TEAM 
participants will only be accountable for performance year spending 
below their reconciliation target price, subject to a quality 
adjustment, that would result in a reconciliation payment amount. For 
Track 2 and Track 3, TEAM will be a two-sided risk model that requires 
TEAM participants to be accountable for performance year spending above 
or below their reconciliation target price, subject to a quality 
adjustment, that would result in a reconciliation payment amount or a 
repayment amount.
a. Effects on the Medicare Program
    TEAM is a mandatory episode-based payment model which will have a 
direct effect on the Medicare program because TEAM participants are 
incentivized to reduce Medicare spending. Additionally, TEAM 
participants could receive a reconciliation payment amount from CMS or 
have to pay CMS a repayment amount based on their spending and quality 
performance. In the FY 2026 IPPS/LTCH PPS final rule (90 FR 37271), we 
estimated and projected financial impacts of TEAM over the course of 
the five-year model test. We estimated that on net, that CMS will pay 
TEAM participants $381 million and TEAM participants will pay CMS $469 
million, and that TEAM will save the Medicare program approximately 
$368 million over the 5 performance years (2026 through 2030).
    In this proposed rule, we are proposing several policies and 
soliciting comments on two Requests for Information (RFIs). We believe 
the policies that are being proposed would not have a material impact 
on the Medicare savings estimate. For example, we anticipate that our 
proposal to include the updated spinal fusion MS-DRGs would help 
maintain episode volume and spending, and we do not anticipate that 
updating the quality measure time periods would have a significant 
effect on Medicare spending or savings. Additionally, the proposals 
that affect the pricing methodology, such as changes to the 
construction of the normalization factor and adding update factors to 
capture current payment system changes, aim to improve the accuracy of 
target prices but we do not anticipate they would result in dramatic 
shifts to the Medicare savings estimate. We note that certain policy 
considerations in the RFIs, such as allowing additional voluntary 
participation for certain hospitals or adding ASC episodes to TEAM 
would impact the Medicare savings estimate. Generally, Medicare savings 
estimates are based on the proposed policies to reflect the potential 
financial implications of the proposals and are not generally updated 
based on policies from RFIs. Therefore, TEAM's financial impact to the 
Medicare program remains unchanged from the FY 2026 IPPS/LTCH PPS final 
rule.
b. Effects on Medicare Beneficiaries
    We believe the refinements to TEAM proposed in this proposed rule 
would not materially alter the potential effects of the model on 
beneficiaries that we had initially indicated in the FY 2025 IPPS/LTCH 
PPS final rule (89 FR 70028). We believe the majority of the changes 
would not alter the effects of the model on beneficiaries because the 
changes predominantly alter how hospitals interact with the model, 
rather than how beneficiaries receive care. However, we believe any 
changes proposed that may have a direct effect on TEAM beneficiaries 
are positive. In section X.A.2.a.(2) of the preamble of this proposed 
rule, we proposed the policy to include new spinal fusion episode 
categories MS-DRGs with the belief that doing so would continue to 
capture Medicare beneficiaries in TEAM so they could benefit from 
improved care transitions and quality of care.
    We welcome public comments on the impact of TEAM on Medicare 
beneficiaries.
12. Proposed Effects of the Comprehensive Care for Joint Replacement 
Expansion (CJR-X) Model
    In section X.C. of this proposed rule, we are proposing to expand 
the CJR Model, with the expanded model referred to as CJR-X. CJR-X 
would be a mandatory episode-based payment model under the authority of 
the Center for Medicare and Medicaid Innovation (Innovation Center). 
Section 1115A of the Act authorizes the Innovation Center to test 
innovative payment and service delivery models that preserve or enhance 
the quality of care furnished to Medicare, Medicaid, and Children's 
Health Insurance Program beneficiaries while reducing program 
expenditures. We believe the CJR-X model would further the mission of 
the Innovation Center to pay for value rather than for volume because 
it holds CJR-X participants accountable for the cost and quality of 
care for Medicare beneficiaries during a lower extremity joint 
replacement (LEJR) episode and promotes alignment across all health 
care providers and suppliers during the episode of care. In the CJR-X 
model, the acute care hospital where the anchor hospitalization or 
anchor procedure occurs would be held accountable for spending during 
the episode. CJR-X participants would be afforded the opportunity to 
earn performance-based payments by appropriately reducing expenditures 
and meeting certain quality metrics. CJR-X participants would also gain 
access to claims data, pursuant to a request and data sharing 
agreement, to better understand CJR-X beneficiaries' post-acute care 
needs and associated spending. Payment approaches that reward providers 
that assume financial and performance accountability for a particular 
episode of care create incentives for the implementation and 
coordination of care redesign between hospitals and other providers and 
suppliers. Given evidence from the CJR Model, we anticipate CJR-X would 
continue to reduce Medicare expenditures while preserving or enhancing 
the quality of care for Medicare beneficiaries.
    It is important to note that CJR-X may have effects beyond the 
effects to the Medicare program or to Medicare beneficiaries. Since 
CJR-X would be expanded nationally, except to hospitals excluded in 
section X.C.2.b.(2)(i). of this proposed rule, we anticipate there may

[[Page 19866]]

be spillover effects in the non-Medicare market, or even in the 
Medicare market in other areas as a result of this model. Changes in 
Medicare payment policy often have substantial implications for non-
Medicare payers. As an example, non-Medicare patients may benefit if 
CJR-X participants introduce system wide changes that improve the 
coordination and quality of health care. Other payers may also be 
developing episode payment models and may align their payment 
structures with CMS. While there is uncertainty on how much spillover 
effect will occur with respect to CJR-X, we generally anticipate the 
effect to be positive given a growing body of 
evidence.567 568
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    \567\ Navathe, A.S., Liao, J.M., Linn, K.A., Zhang, Y.,Mishra, 
A.,Wang, R., Dinh, C.T., Zhu, J.,Cousins, D. S.,Lindner, J., & 
Emanuel, E.J. (2020). Spillover effects of Medicare's voluntary 
bundled payments for joint replacement surgery to patients insured 
by commercial health plans. Annals of Internal Medicine, 174(2), 
200-208. https://doi.org/10.7326/m19-3792.
    \568\ Kim, N., & Jacobson, M. (2025). The spillover effects of 
Medicare's comprehensive care for joint replacement (CJR) model in 
California. PLoS ONE, 20(4), e0319582. https://doi.org/10.1371/journal.pone.0319582.
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A. Effects on the Medicare Program

    CJR-X would be a mandatory episode-based payment model that would 
have a direct effect on the Medicare program because CJR-X participants 
would be incentivized to reduce Medicare spending by aiming to have 
episode expenditures come under the reconciliation target price. CJR-X 
participants would be subject to two-sided financial risk, therefore 
CJR-X participants could receive a reconciliation payment amount from 
CMS or have to pay CMS a repayment amount based on their spending and 
quality performance. Financial safeguards have been proposed to ensure 
outlier high-cost episode spending is capped, stop-gain and stop-loss 
limits would be applied to prevent extreme reconciliation amounts or 
repayment amounts, and hospitals meeting the low volume threshold are 
not held accountable for episodes where there is insufficient volume to 
spread risk or have opportunities for savings.
    Table K-CL-01 shows the projected financial impacts of CJR-X over a 
5-year period, with estimated savings to Medicare in each performance 
year. For the first performance year (October 1, 2027-September 30, 
2028), we project CJR-X would generate $128 million in Medicare 
savings. Estimated savings increase to $132 million in performance year 
2 and $136 million in performance year 3. In performance years 4 and 5, 
projected savings rise to $159 million and $170 million, respectively.
    We expect episode spending would increase in performance years 4 
and 5 due to the conclusion of TEAM and the transition of those 
hospitals into CJR-X. Although these years reflect higher episode 
spending and expanded hospital participation, the overall estimated 
savings impact moderates slightly because a greater proportion of 
safety net hospitals previously participating in TEAM are included.
    Across the five-year period, we project CMS would pay $1.429 
billion to CJR-X participants, while we project CJR-X participants 
would repay $1.813 billion to CMS. Combined with expected savings from 
the assumed 1 percent behavior change from CJR-X participants, which 
affects both episode spending and reconciliation payments, CJR-X will 
result in estimated net Medicare savings of approximately $725 million. 
We note these projections represent a portion of the potential savings 
to Medicare that CJR-X may produce since the model does not have an end 
date.
[GRAPHIC] [TIFF OMITTED] TP14AP26.259

(1) Assumptions
    Baseline episode spending is projected using 2024 actual spending 
trended forward for changes in price and Medicare enrollment. We assume 
price updates would be consistent with projections for payment 
increases to hospital payments included in the 2025 Trustees 
Report.\569\ We also assume enrollment projections would be consistent 
with the report. There were no changes to 2024 volume and intensity 
applied in our projections, as these trends have historically been 
negative but have begun to level off. These assumptions have no bearing 
on savings percentage impacts, only the baseline spending levels.
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    \569\ https://www.cms.gov/oact/tr/2025
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    We also note that baseline spending includes a small impact 
assumption to account for previous CJR participants increasing spending 
as a result of not participating in a bundled payment model anymore. We 
assume about half of the savings from the most recent CJR Model 
evaluation report (3.4 percent) comes back as a cost to Medicare 
because they didn't sustain their episode spending reductions given the 
lapse of participation in an episode-based payment model from the end 
of CJR to the start of CJR-X.\570\ We note mandatory CJR model 
participants comprise about 12 percent of episode spending.
---------------------------------------------------------------------------

    \570\ Comprehensive Care for Joint Replacement Model--Seventh 
Annual Report: https://www.cms.gov/priorities/innovation/data-and-reports/2025/cjr-py7-annual-report.
---------------------------------------------------------------------------

    CJR-X excludes TEAM participants and since TEAM ends in 2030, TEAM 
participants are assumed to enter CJR-X in 2031. However, since TEAM 
uses calendar years for performance, 2031 only includes 3 quarters of 
TEAM participant spending. We expect TEAM

[[Page 19867]]

participants would not reduce episode spending when they enter the CJR-
X in 2031 because their savings are part of CJR-X's baseline. The 
baseline already assumes that spending was reduced by 1 percent in 
2026, consistent with what was estimated for the Medicare savings 
estimate for TEAM. We also expect TEAM participants to have more 
spending capped when the stop loss limits are applied. As demonstrated 
in Table K-CL.-01, overall estimated CJR-X model savings impacts as a 
percentage of baseline spending are reduced when TEAM participants 
enter the CJR-X model.
    We also assume that CJR-X participants would reduce episode 
spending by 1 percent in the first year of the model and maintain that 
reduction going forward. Comparing this assumption to CJR experience, 
our savings assumption is lower due to the unbiased selection of CJR 
hospitals (average episode spending for CJR hospitals was much greater 
than average) and perhaps less potential for similar spending 
reductions from less costly providers. Further, post-acute care has 
steadily decreased over time for LEJR procedures, and there may be less 
opportunity for future decreases in episode spending. This assumption 
was sensitivity tested in and displayed in Table K-CL-02.
    We also note the assumed quality adjustment distribution is based 
on simulations provided by internal analysis and the average quality 
adjusted discount is 1.3 percent. Lastly, the financial impacts assume 
that the retrospective trend adjustment isn't capped, meaning the 
difference between prospective trend and retrospective trend are less 
than 3 percent in magnitude.
(2) Sensitivity Analysis
    We also performed a sensitivity analysis to assess various 
intervention effects on CJR-X. Overall financial impacts are sensitive 
to the intervention effect CJR-X would have on participating hospitals' 
episode spending. Table K-CL.-02 includes financial impacts at various 
intervention effect assumptions (note that negative values indicate 
savings).
[GRAPHIC] [TIFF OMITTED] TP14AP26.260

    Reductions in episode spending lead to lower target prices, however 
costs from stop loss limits increase as targets prices become more 
aggressive, since more episode spending is capped. For this reason, 
overall CJR-X savings does not increase at the same rate as episode 
spending reductions.

B. Effects on Medicare Beneficiaries

    CJR-X may benefit beneficiaries receiving lower extremity joint 
replacements because the model is intended to improve the coordination 
and transition of care, invest in infrastructure and redesigned care 
processes for high quality and efficient service delivery, and 
incentivize higher value care across the inpatient and post-acute care 
spectrum spanning the episode of care. We believe the model has a 
patient-centered focus such that healthcare delivery and communication 
with the patient and or patient caregivers is based on the needs of the 
beneficiary, thus benefitting the beneficiary community.
    We have proposed several quality of care and patient experience 
measures to assess hospital quality performance in CJR-X with the 
intent that it will encourage the provider community to focus on and 
deliver improved quality care for the Medicare beneficiary. We are 
proposing the adoption and public reporting of five quality measures, 
as discussed in section X.C.2.e of this proposed rule, for CJR-X. Those 
measures include two complications measures, two patient experience 
survey measures, and one patient reported outcome measure. We propose 
to use these measures to ensure CJR-X participants are continually 
measured on the quality of their care and to also monitor for 
beneficiary safety. Additionally, CJR-X participants must meet the 
proposed quality performance standards to qualify to receive a 
reconciliation payment, as discussed in section X.C.2.f.(5).(f). of 
this proposed rule. The accountability of CJR-X participants for both 
quality and cost of care provided for Medicare beneficiaries with an 
LEJR episode provides the hospitals with incentives to improve the 
health and well-being of the Medicare beneficiaries they treat.
    Additionally, the model does not affect the beneficiary's freedom 
of choice to obtain health services from any individual or organization 
qualified to participate in the Medicare program guaranteed under 
section 1802 of the Act. As proposed under CJR-X, eligible 
beneficiaries who choose to receive services from a CJR-X participant 
would not have the option to opt out of inclusion in the model. 
Although the proposed model allows CJR-X participants to enter into 
financial arrangements with certain other providers and these hospitals 
may recommend those providers to the beneficiary, hospitals may not 
prevent or restrict beneficiaries to any list of preferred or 
recommended providers.
    Many controls exist under Medicare to ensure beneficiary access and 
quality and in addition we have proposed to monitor hospitals and, if 
necessary, to audit CJR-X participants if claims analysis indicates an 
inappropriate change in delivered services. As described in section 
X.C.2.f.(5)(i). of this proposed rule, given that CJR-X participants 
would receive a reconciliation payment when they are able to spend 
below the reconciliation target price and meet quality thresholds, they 
could have an incentive to avoid complex, high cost cases by referring 
them to nearby facilities or specialty referral centers. We intend to 
monitor the claims data from CJR-X participants--for example, to 
compare a hospital's case mix relative to a pre-model historical 
baseline to determine whether complex patients are being systematically 
excluded. Furthermore, we also proposed to require providers to supply 
beneficiaries with written information regarding the design and 
implications of this model as well as their rights under Medicare, 
including their right to use their provider of choice.

[[Page 19868]]

    We have proposed to implement several safeguards to ensure that 
Medicare beneficiaries do not experience a delay in services. We 
believe that the longer the episode duration, the lower the risk of 
delaying care beyond the episode duration, and we believe that a 90-day 
episode is sufficiently long to minimize the risk that any lower 
extremity joint replacement related care will be delayed beyond the end 
of the episode. Moreover, we have proposed as part of the pricing 
methodology, as described in section X.C.2.f.(5).(h). of this proposed 
rule that certain outlier costs post-episode payments occurring in the 
30-day window subsequent to the end of the 90-day episode will be 
counted as an adjustment against the reconciliation payment or 
repayment amount. Importantly, approaches to saving costs will include 
taking steps that facilitate patient recovery, that shorten recovery 
duration, and that minimize post-operative problems that might lead to 
readmissions. Thus, the model itself rewards better patient care.
    We welcome public comments on the impact of CJR-X on Medicare 
beneficiaries.
13. Effects of the Proposals Regarding Acquisition Costs, Reasonable 
Costs, and Other Cost-Related Policies
a. Effects of the Proposal To Reconcile Non-Renal Organ Acquisition 
Costs for Independent Organ Procurement Organizations and 
Histocompatibility Laboratories
    In section X.D.1. of the preamble of this proposed rule, we are 
proposing to reconcile non-renal organ acquisition costs for 
independent organ procurement organizations (IOPOs) and 
histocompatibility laboratories (HCLs), and to require the Medicare 
administrative contractor (MAC) to establish, adjust if necessary, and 
publish non-renal standard acquisition charges (SACs) and non-renal 
testing rates. We are proposing a 1-year delay in implementation, to 
allow IOPOs and HCLs time to prepare for increased reporting that would 
be necessary. We estimate this proposal would result in an annual cost 
savings to the Medicare trust fund of $0 in FY 2027 due to the proposed 
1-year delay in implementation, $100 million in FY 2028, $500 million 
over 5 years from FYs 2027 to 2031, and $1,280 million over 10 years 
from FY 2027 to FY 2036. The Office of the Actuary estimated these 
savings on a cash basis using 2024 Medicare cost report data for IOPOs, 
comparing total revenue to total organ acquisition costs, by organ 
type. We do not have the required data to estimate the impact on HCLs. 
In accordance with 42 CFR 413.20(a), CMS follows standardized 
definitions, accounting, statistics, and reporting practices that are 
widely accepted in the healthcare industry. Changes in these practices 
and systems are not required to determine costs payable under the 
principles of reimbursement.
    The methods of determining costs payable under Medicare involve 
making use of data available from the institution's basis accounts, as 
usually maintained, to arrive at equitable and proper payment for 
services. Burden hours for each OPO/HCL are the estimated time required 
(number of hours) to complete ongoing data gathering and recordkeeping 
tasks, search existing data resources, review instructions, and 
complete the OMB number 0938-0102, Form CMS-216-94. Currently there are 
94 Medicare certified OPOs/HCLs that file Form CMS-216-94 annually. The 
current estimated average burden per OPO/HCL is 45 hours (30 hours for 
recordkeeping and 15 hours for reporting). For this proposal, we do not 
estimate additional recordkeeping burden but estimate an average 
additional reporting burden of 10 hours per OPO/HCL and an estimated 
additional cost of $785.40 per OPO/HCL. The most recent median hourly 
wage data is available from the Bureau of Labor Statistics using their 
national table (available at https://www.bls.gov/oes/tables.htm). The 
median hourly wage for Category 13-2011 (accounting and audit 
professionals) is $39.27. We added 100% of the median hourly wage to 
account for fringe benefits and overhead costs, which calculates to 
$78.54 ($39.27 + $39.27) and multiplied it by 10 hours, to determine 
the additional annual reporting costs per OPO/HCL to be $785.40 ($78.54 
x 10 hours). We recognize this average reporting burden varies 
depending on the OPO/HCL's size and complexity. Because there are 94 
OPOs and HCLs, the total reporting burden cost would be $73,828 (94 x 
$785.40). In section XII.B.10 of this proposed rule (the Collection of 
Information section), we invite public comment on the hours estimate as 
well as the staffing requirements utilized to compile and complete the 
Medicare cost report. Because we proposed a 1-year delay, if our 
proposals were to be finalized, these estimated reporting burden costs 
would not occur until FY 2028.
b. Effects of the Reasonable Cost Proposals
    In section X.D.2. of the preamble of this proposed rule, we are 
proposing to change certain existing policy and proposing to codify 
certain longstanding Medicare reasonable cost reimbursement policies, 
applicable to all providers reimbursed for all or for some of their 
services on a reasonable cost basis. We believe these proposals would 
not result in additional costs to the Medicare program and there would 
be no increased burden placed upon providers. Additionally, we believe 
our proposals would alleviate burden on providers by providing more 
clarity as to certain cost reporting policies. We believe these 
proposals may result in cost savings to the Medicare program due to 
increased payment accuracy, but we do not have sufficient data to 
estimate an amount.
c. Effects of the Proposal To Codify Cost Allocation Policy
    In section X.D.3. of the preamble of this proposed rule, we are 
proposing to codify cost allocation principles. This proposal is 
applicable to all providers. We believe there would be no additional 
costs to the Medicare program resulting from these proposals. However, 
we believe these proposals may result in a cost savings to the Medicare 
program due to increased payment accuracy, although we do not have 
sufficient data to estimate an amount. We believe these proposals would 
not increase burden to providers because providers are already required 
to follow the current cost reporting instructions that we are proposing 
to codify to properly allocate overhead costs.
d. Effects of the Proposal for Discretionary Administrator Review of 
CMS Reviewing Official Determinations With Respect to Appeals Under 
Sec.  413.420(g) for Independent Organ Procurement Organizations and 
Histocompatibility Laboratories
    In section X.D.4. of the preamble of this proposed rule, we are 
proposing to codify the discretionary Administrator review of CMS 
reviewing official determinations with respect to appeals under Sec.  
413.420(g) for IOPOs and HCLs. We believe there would be no additional 
costs to the Medicare program and no increased burden placed upon 
providers as a result of our proposal.
e. Effects of the Proposed Technical Corrections and Clarifications of 
Sec. Sec.  412.116(c) and 413.404(b)(3)(ii)(A) and (C)
    In section X.D.5. of the preamble of this proposed rule, we are 
proposing

[[Page 19869]]

technical corrections or clarifications to regulation text at 
Sec. Sec.  412.116(c) and 413.404(b)(3)(ii)(A) and (C). These proposed 
clarifications and corrections would not create any additional costs to 
the Medicare program or increased burden upon providers.

H. Effects on Hospitals and Hospital Units Excluded From the IPPS

    As of January 2026, there were 95 children's hospitals, 11 cancer 
hospitals, 6 short term acute care hospitals located in the Virgin 
Islands, Guam, the Northern Mariana Islands, and American Samoa, 1 
extended neoplastic disease care hospital, and 8 RNHCIs being paid on a 
reasonable cost basis subject to the rate-of-increase ceiling under 
Sec.  413.40. (In accordance with Sec.  403.752(a) of the regulation, 
RNHCIs are paid under Sec.  413.40.) Among the remaining providers, the 
rehabilitation hospitals and units, and the LTCHs, are paid the Federal 
prospective per discharge rate under the IRF PPS and the LTCH PPS, 
respectively, and the psychiatric hospitals and units are paid the 
Federal per diem amount under the IPF PPS. As stated previously, IRFs 
and IPFs are not affected by the rate updates discussed in this 
proposed rule. The impacts of the changes on LTCHs are discussed in 
section I.J. of the appendix of this proposed rule.
    For the children's hospitals, cancer hospitals, short-term acute 
care hospitals located in the Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa, the extended neoplastic disease 
care hospital, and RNHCIs, the update of the rate-of-increase limit (or 
target amount) is the estimated proposed FY 2027 percentage increase in 
the 2023-based IPPS operating market basket, consistent with section 
1886(b)(3)(B)(ii) of the Act, and Sec. Sec.  403.752(a) and 413.40 of 
the regulations. Consistent with current law, based on IGI's fourth 
quarter 2025 forecast of the 2023-based IPPS market basket increase, we 
are estimating the FY 2027 update to be 3.2 percent (that is, the 
estimate of the market basket rate-of-increase), as discussed in 
section VI.B. of the preamble of this proposed rule. Section 
1886(b)(3)(B)(xi)(I) of the Act requires a productivity adjustment (0.8 
percentage point reduction proposed for FY 2027), resulting in a 
proposed 2.4 percent applicable percentage increase for IPPS hospitals 
that submit quality data and are meaningful EHR users, as discussed in 
section VI.B. of the preamble of this proposed rule. Children's 
hospitals, cancer hospitals, short term acute care hospitals located in 
the Virgin Islands, Guam, the Northern Mariana Islands, and American 
Samoa, the extended neoplastic disease care hospital, and RNHCIs that 
continue to be paid based on reasonable costs subject to rate-of-
increase limits under Sec.  413.40 of the regulations are not subject 
to the reductions in the applicable percentage increase required under 
section 1886(b)(3)(B)(xi)(I) of the Act. Therefore, for those hospitals 
paid under Sec.  413.40 of the regulations, the update is the 
percentage increase in the 2023-based IPPS operating market basket for 
FY 2027, currently estimated at 3.2 percent.
    The impact of the update in the rate-of-increase limit on those 
excluded hospitals depends on the cumulative cost increases experienced 
by each excluded hospital since its applicable base period. For 
excluded hospitals that have maintained their cost increases at a level 
below the rate-of-increase limits since their base period, the major 
effect is on the level of incentive payments these excluded hospitals 
receive. Conversely, for excluded hospitals with cost increases above 
the cumulative update in their rate-of-increase limits, the major 
effect is the amount of excess costs that would not be paid.
    We note that, under Sec.  413.40(d)(3), an excluded hospital that 
continues to be paid under the TEFRA system and whose costs exceed 110 
percent of its rate-of-increase limit receives its rate-of-increase 
limit plus the lesser of: (1) 50 percent of its reasonable costs in 
excess of 110 percent of the limit; or (2) 10 percent of its limit. In 
addition, under the various provisions set forth in Sec.  413.40, 
hospitals can obtain payment adjustments for justifiable increases in 
operating costs that exceed the limit.

I. Effects of Changes in the Capital IPPS

1. General Considerations
    For the impact analysis presented in this section of this proposed 
rule, we used data from the December 2025 update of the FY 2025 MedPAR 
file and the December 2025 update of the Provider-Specific File (PSF) 
that was used for payment purposes. Although the analyses of the 
proposed changes to the capital prospective payment system do not 
incorporate cost data, we used the December 2025 update of the most 
recently available hospital cost report data to categorize hospitals. 
Our analysis has several qualifications and uses the best data 
available, as described later in this section of this proposed rule.
    Due to the interdependent nature of the IPPS, it is very difficult 
to precisely quantify the impact associated with each change. In 
addition, we draw upon various sources for the data used to categorize 
hospitals in the tables. In some cases (for instance, the number of 
beds), there is a fair degree of variation in the data from different 
sources. We have attempted to construct these variables with the best 
available sources overall. However, it is possible that some individual 
hospitals are placed in the wrong category.
    Using cases from the December 2025 update of the FY 2025 MedPAR 
file, we simulated payments under the capital IPPS for FY 2026 and the 
proposed payments for FY 2027 for a comparison of total payments per 
case. Short-term, acute care hospitals that are not paid under the 
general IPPS (for example, hospitals in Maryland) are excluded from the 
simulations.
    The methodology for determining a capital IPPS payment is set forth 
at Sec.  412.312. The basic methodology for calculating the capital 
IPPS payments in FY 2027 is as follows:

(Standard Federal rate) x (DRG weight) x(GAF) x (COLA for hospitals 
located in Alaska and Hawaii) x (1 + DSH adjustment factor + IME 
adjustment factor, if applicable).

    In addition to the other adjustments, hospitals may receive outlier 
payments for those cases that qualify under the threshold established 
for each fiscal year. We modeled payments for each hospital by 
multiplying the capital Federal rate by the geographic adjustment 
factor (GAF) and the hospital's case-mix. Then we added estimated 
payments for indirect medical education, disproportionate share, and 
outliers, if applicable. For purposes of this impact analysis, the 
model includes the following assumptions:
     The capital Federal rate was updated, beginning in FY 
1996, by an analytical framework that considers changes in the prices 
associated with capital-related costs and adjustments to account for 
forecast error, changes in the case-mix index, allowable changes in 
intensity, and other factors. As discussed in section III.A.1. of the 
Addendum to this proposed rule, the update to the capital Federal rate 
is 3.1 percent for FY 2027.
     In addition to the proposed FY 2027 update factor, the 
proposed FY 2027 capital Federal rate was calculated based on a GAF/DRG 
budget neutrality adjustment factor of 1.0139, a proposed budget 
neutrality factor for the 5-percent cap on wage index decreases policy 
and the proposed continuation of the transition for the discontinuation 
of the low wage index hospital policy of 0.9913, and a proposed outlier 
adjustment factor of 0.9642.

[[Page 19870]]

2. Results
    We used the payment simulation model previously described in 
section I.I. of the Appendix of this proposed rule to estimate the 
potential impact of the changes for FY 2027 on total capital payments 
per case, using a universe of 3,013 hospitals. As previously described, 
the individual hospital payment parameters are taken from the best 
available data, including the December 2025 update of the FY 2025 
MedPAR file, the December 2025 update to the PSF, and the most recent 
available cost report data from the December 2025 update of HCRIS. In 
Table III, we present a comparison of estimated total payments per case 
for FY 2026 and estimated proposed total payments per case for FY 2027 
based on the proposed FY 2027 payment policies. Column 2 shows 
estimates of payments per case under our model for FY 2026. Column 3 
shows estimates of proposed payments per case under our model for FY 
2027. Column 4 shows the total proposed percentage change in payments 
from FY 2026 to FY 2027. The change represented in Column 4 includes 
the 3.1 percent update to the capital Federal rate and other proposed 
changes in the adjustments to the capital Federal rate. The comparisons 
are provided by: (1) geographic location; (2) region; and (3) payment 
classification.
    The simulation results show that, on average, capital payments per 
case in FY 2027 are expected to increase 2.3 percent compared to 
capital payments per case in FY 2026. This expected increase is 
primarily due to the proposed 3.1 percent update to the capital Federal 
rate being partially offset by a projected decrease in capital outlier 
payments. In general, regional variations in estimated capital payments 
per case in FY 2027 as compared to capital payments per case in FY 2026 
are primarily due to the proposed changes in GAFs, and are generally 
consistent with the projected changes in payments due to the proposed 
changes in the wage index (and proposed policies affecting the wage 
index), as shown in Table I in section I.F. of this proposed rule.
    The net impact of these changes is an estimated 2.3 percent 
increase in capital payments per case from FY 2026 to FY 2027 for all 
hospitals (as shown in Table III). The geographic comparison shows 
that, on average, hospitals in both urban and rural classifications 
would experience an increase in capital IPPS payments per case in FY 
2027 as compared to FY 2026. Capital IPPS payments per case would 
increase by an estimated 2.3 percent for hospitals in urban areas and 
2.6 percent for rural areas from FY 2026 to FY 2027. The primary factor 
contributing to the difference in the projected increase in capital 
IPPS payments per case for rural hospitals as compared to urban 
hospitals is the estimated increase in capital payments to rural 
hospitals due to the effect of proposed changes in the GAFs.
    The comparisons by region show that the change in capital payments 
per case from FY 2026 to FY 2027 for urban areas range from a 0.7 
percent increase for the West South Central urban region to a 4.7 
percent increase for the New England urban region. Meanwhile, the 
change in capital payments per case from FY 2026 to FY 2027 for rural 
areas range from a 0.4 percent increase for the Mountain rural region 
to a 6.4 percent increase for the New England rural region. Capital 
IPPS payments per case for hospitals located in Puerto Rico are 
projected to decrease by 0.3 percent. These regional differences are 
primarily due to the proposed changes in the GAFs.
    The comparison by hospital type of ownership (Voluntary, 
Proprietary, and Government) shows that voluntary hospitals are 
expected to experience an increase in capital payments per case from FY 
2026 to FY 2027 of 2.3 percent. Proprietary hospitals are expected to 
experience an increase in capital payments per case from FY 2026 to FY 
2027 of 1.5 percent. Government hospitals are expected to experience an 
increase in capital payments per case from FY 2026 to FY 2027 of 2.3 
percent.
    Section 1886(d)(10) of the Act established the MGCRB. Hospitals may 
apply for reclassification for purposes of the wage index for FY 2027. 
Reclassification for wage index purposes also affects the GAFs because 
that factor is constructed from the hospital wage index. To present the 
effects of the hospitals being reclassified as of the publication of 
this proposed rule for FY 2027, we show the proposed average capital 
payments per case for reclassified hospitals for FY 2027. Urban 
reclassified hospitals are expected to experience an increase in 
capital payments per case of 2.4 percent; urban non-reclassified 
hospitals are expected to experience an increase in capital payments of 
2.1 percent. Rural reclassified hospitals are expected to experience an 
increase in capital payments per case of 2.7 percent; rural non-
reclassified hospitals are expected to experience an increase in 
capital payments per case of 2.5 percent.
BILLING CODE 4120-01-P

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[[Page 19872]]


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BILLING CODE 4120-01-C

J. Effects of Payment Rate Changes and Policy Changes Under the LTCH 
PPS

1. Introduction and General Considerations
    In section X. of the preamble of this proposed rule and section V. 
of the Addendum to this proposed rule, we set forth the proposed annual 
update to the payment rates for the LTCH PPS for FY 2027. In the 
preamble of this proposed rule, we specify the statutory authority for 
the proposals that are presented, identify the proposed policies for FY 
2027, and present rationales for our proposals as well as alternatives 
that were considered. In this section, we discuss the impact of the 
proposed changes to the payment rate, factors, and other payment rate 
policies related to the LTCH PPS that are presented in the preamble of 
this proposed rule in terms of their estimated fiscal impact on the 
Medicare budget and on LTCHs.
    Section 1886(m)(6)(A) of the Act establishes a dual rate LTCH PPS 
payment structure with two distinct payment rates for LTCH discharges 
beginning in FY 2016. Under this statutory change, LTCH discharges that 
meet the patient-level criteria for exclusion from the site neutral 
payment rate (that is, LTCH PPS standard Federal payment rate cases) 
are paid based on the LTCH PPS standard Federal payment rate. LTCH 
discharges that do not meet the patient-level criteria for exclusion 
are paid the site neutral payment rate. Consistent with the statute, 
the site neutral payment rate is the lower of the IPPS comparable per 
diem amount as determined under Sec.  412.529(d)(4), including any 
applicable outlier payments as specified in Sec.  412.525(a), reduced 
by 4.6 percent for FYs 2018 through 2026; or 100 percent of the 
estimated cost of the case as determined under Sec.  412.529(d)(2).
    The basic methodology for determining a per discharge payment for 
LTCH PPS standard Federal payment rate cases is currently set forth 
under Sec. Sec.  412.515 through 412.533 and 412.535. In addition to 
adjusting the LTCH PPS standard Federal payment rate by the MS-LTC-DRG 
relative weight, we make adjustments to account for area wage levels 
and short stay outliers (SSOs). LTCHs located in Alaska and Hawaii also 
have their payments adjusted by a COLA. Under our application of the 
dual rate LTCH PPS payment structure, the LTCH PPS standard Federal 
payment rate is generally only used to determine payments for LTCH PPS 
standard Federal payment rate cases (that is, those LTCH PPS cases that 
meet the statutory criteria to be excluded from the site neutral 
payment rate).
    In addition, when certain thresholds are met, LTCHs also receive 
high-cost outlier (HCO) payments for both LTCH PPS standard Federal 
payment rate cases and site neutral payment rate cases that are paid at 
the IPPS comparable per diem amount.
2. Proposed Updates to Payments for LTCH PPS Standard Federal Payment 
Rate Cases
    This section details the proposed updates to the LTCH PPS payment 
rates and related factors that would affect payments for LTCH PPS 
standard Federal payment rate cases and serve as the basis for the 
impact analysis presented in this proposed rule.
     As discussed in section V.A.2. of the Addendum to this 
proposed rule, for FY 2027, we are proposing to establish an LTCH PPS 
standard Federal payment rate of $52,177.04 which reflects the proposed 
2.4 percent annual update to the LTCH PPS standard Federal payment rate 
and the proposed budget neutrality factor for updates to the area wage 
level adjustment of 1.0025505. For LTCHs that fail to submit data for 
the LTCH QRP, in accordance with section 1886(m)(5)(C) of the Act, we 
are

[[Page 19873]]

proposing to establish an LTCH PPS standard Federal payment rate of 
$51,157.95. This proposed LTCH PPS standard Federal payment rate 
reflects the proposed updates and factors previously described, as well 
as the required 2.0 percentage point reduction to the annual update for 
failure to submit data under the LTCH QRP.
     As discussed in section V.B.3. of the Addendum to this 
proposed rule, for FY 2027, we are proposing to establish a labor-
related share of 73.0 percent for FY 2027, based on the most recent 
available data (IGI's fourth quarter 2025 forecast) of the relative 
importance of the labor-related share of operating and capital costs of 
the 2022-based LTCH market basket.
     As discussed in section V.B.4. of the Addendum to this 
proposed rule, for FY 2027, we are proposing to update the wage index 
values based on the most recent available data (data from cost 
reporting periods beginning during FY 2023 which is the same data used 
for the FY 2027 IPPS wage index).
     As discussed in section V.C. of the Addendum to this 
proposed rule, for FY 2027, we are proposing to update the COLA factors 
used to adjust non-labor related costs for LTCHs located in Alaska and 
Hawaii using the Overseas Cost-of-Living Allowance (OCOLA) data 
published by the Department of Defense (DOD).
     As discussed in section X.B of the preamble of this 
proposed rule, for FY 2027, we are proposing to update the MS-LTC-DRG 
classifications and MS-LTC-DRG relative weights.
     As discussed in section V.C. of the Addendum to this 
proposed rule, for FY 2027, we are proposing to maintain the fixed-loss 
amount for LTCH PPS standard Federal payment rate cases at its FY 2026 
level of $78,936. We estimate this will result in estimated outlier 
payments projected to be equal to 7.975 percent of estimated FY 2027 
payments for such cases.
3. Impact Analysis
a. Basis and Methodology of Estimates
    To understand the impact of the changes to the LTCH PPS payments 
for LTCH PPS standard Federal payment rate cases presented in this 
proposed rule on different categories of LTCHs for FY 2027, it is 
necessary to estimate payments per discharge for FY 2026 using the 
rates, factors, and the policies established in the FY 2026 IPPS/LTCH 
PPS final rule and estimate payments per discharge for FY 2027 using 
the proposed rates, factors, and the policies in this proposed rule (as 
discussed in section X. of the preamble of this proposed rule and 
section V. of the Addendum to this proposed rule). The resulting 
analyses can then be used to compare how our proposed policies 
applicable to LTCH PPS standard Federal payment rate cases affect 
different groups of LTCHs.
    Specifically, to estimate the per discharge payment effects of our 
proposals on payments for LTCH PPS standard Federal payment rate cases, 
we simulated FY 2026 and proposed FY 2027 payments on a case-by-case 
basis using historical LTCH claims from the FY 2025 MedPAR files that 
met or would have met the criteria to be paid at the LTCH PPS standard 
Federal payment rate if the statutory patient-level criteria had been 
in effect at the time of discharge for all cases in the FY 2025 MedPAR 
files. We note that in modeling payments for HCO cases, we scaled 
outlier payments to equal 7.975 percent of total estimated LTCH PPS 
payments for standard Federal payment rate cases in both FY 2026 and FY 
2027.
    There are 318 LTCHs included in this impact analysis. We note that, 
although there are currently approximately 325 LTCHs, for purposes of 
this impact analysis, we excluded the data of all-inclusive rate 
providers consistent with the development of the FY 2027 MS-LTC-DRG 
relative weights (discussed in section X.B.3. of the preamble of this 
proposed rule). Moreover, in the claims data used for this proposed 
rule, two of the 325 LTCHs only had claims for site neutral payment 
rate cases and, therefore, do not affect our impact analysis for LTCH 
PPS standard Federal payment rate cases presented in Table IV.
    Based on the FY 2025 LTCH cases that were used for the analysis in 
this proposed rule, approximately 7 percent of those cases were 
classified as site neutral payment rate cases (that is, 7 percent of 
LTCH cases would not meet the statutory patient-level criteria for 
exclusion from the site neutral payment rate). Accordingly, based on 
the FY 2025 LTCH cases that were used for the analysis in this proposed 
rule, approximately 93 percent of LTCH cases would meet the patient-
level criteria for exclusion from the site neutral payment rate in FY 
2027 and would be paid based on the LTCH PPS standard Federal payment 
rate.
    In the following section, we present in Table IV our provider 
impact analysis for the proposed changes that affect LTCH PPS payments 
for LTCH PPS standard Federal payment rate cases. Table IV illustrates 
the estimated aggregate impact of the change in LTCH PPS payments for 
LTCH PPS standard Federal payment rate cases among various 
classifications of LTCHs, reflecting the estimated ``losses'' or 
``gains'' from FY 2026 to FY 2027 based on the proposed payment rates 
and policy changes presented in this proposed rule. We note that our 
analysis does not reflect changes in LTCH admissions or case-mix 
intensity, which will also affect the overall payment effects of the 
proposed policies in this proposed rule. Consistent with prior years, 
Table IV only reflects proposed changes in LTCH PPS payments for LTCH 
PPS standard Federal payment rate cases.
    In Table IV, LTCHs are grouped based on characteristics provided in 
hospital cost report data and PSF data. LTCH groups included the 
following:
     Location: large urban/other urban/rural.
     Ownership control.
     Census region.
     Bed size.
    We include the following columns in Table IV:
     The first column, LTCH Classification, identifies the type 
of LTCH.
     The second column lists the number of LTCHs of each 
classification type.
     The third column identifies the number of LTCH cases 
expected to meet the LTCH PPS standard Federal payment rate criteria.
     The fourth column shows the estimated FY 2026 payment per 
discharge for LTCH cases expected to meet the LTCH PPS standard Federal 
payment rate criteria.
     The fifth column shows the estimated FY 2027 payment per 
discharge for LTCH cases expected to meet the LTCH PPS standard Federal 
payment rate criteria (as described previously).
     The sixth column shows the percentage change in estimated 
payments per discharge for LTCH cases expected to meet the LTCH PPS 
standard Federal payment rate criteria from FY 2026 to FY 2027 due to 
the proposed annual update to the standard Federal rate (as discussed 
in section V.A.2. of the Addendum to this proposed rule).
     The seventh column shows the percentage change in 
estimated payments per discharge for LTCH PPS standard Federal payment 
rate cases from FY 2026 to FY 2027 due to the proposed changes to the 
area wage level adjustment (that is, the proposed updated hospital wage 
data and the proposed labor-related share) and the application of the 
corresponding proposed budget neutrality factor (as

[[Page 19874]]

discussed in section V.B.6. of the Addendum to this proposed rule).
     The eighth column shows the percentage change in estimated 
payments per discharge for LTCH PPS standard Federal payment rate cases 
from FY 2026 (Column 4) to FY 2027 (Column 5) due to all changes.
BILLING CODE 4120-01-P

[[Page 19875]]

[GRAPHIC] [TIFF OMITTED] TP14AP26.264


[[Page 19876]]


BILLING CODE 4120-01-C
b. Results
    Based on the FY 2025 LTCH cases (from 318 LTCHs) that were used for 
the analyses in this proposed rule, we have prepared the following 
summary of the impact (as shown in Table IV) of the proposed LTCH PPS 
payment rate and policy changes for LTCH PPS standard Federal payment 
rate cases presented in this proposed rule. The impact analysis in 
Table IV shows that estimated payments per discharge for LTCH PPS 
standard Federal payment rate cases are projected to increase 2.3 
percent, on average, for all LTCHs from FY 2026 to FY 2027, as a result 
of the proposed payment rate and policy changes applicable to LTCH PPS 
standard Federal payment rate cases presented in this proposed rule. 
This estimated 2.3 percent increase in LTCH PPS payments per discharge 
was determined by comparing estimated FY 2027 LTCH PPS payments for 
LTCH PPS standard Federal payment rate cases (using the proposed 
payment rates and factors discussed in this proposed rule) to estimated 
FY 2026 LTCH PPS payments for LTCH PPS standard Federal payment rate 
cases.
    As stated previously, we are proposing an annual update to the LTCH 
PPS standard Federal payment rate for FY 2027 of 2.4 percent. For LTCHs 
that fail to submit quality data under the requirements of the LTCH 
QRP, as required by section 1886(m)(5)(C) of the Act, a 2.0 percentage 
point reduction is applied to the annual update to the LTCH PPS 
standard Federal payment rate. The estimated change attributable solely 
to the proposed annual update of 2.4 percent to the LTCH PPS standard 
Federal payment rate is projected to result in an increase of 2.3 
percent in payments per discharge for LTCH PPS standard Federal payment 
rate cases from FY 2026 to FY 2027, on average, for all LTCHs (Column 
6). The estimated increase of 2.3 percent shown in Column 6 also 
includes estimated payments for SSO cases, a portion of which are not 
affected by the annual update to the LTCH PPS standard Federal payment 
rate, as well as the reduction that is applied to the annual update for 
LTCHs that do not submit the required LTCH QRP data. For all hospital 
categories, the projected increase in payments based on the LTCH PPS 
standard Federal payment rate to LTCH PPS standard Federal payment rate 
cases also rounds to approximately 2.3 percent.
(1) Location
    The vast majority of LTCHs are located in urban areas. The impact 
analysis presented in Table IV shows that the average percent increase 
in estimated payments per discharge for LTCH PPS standard Federal 
payment rate cases from FY 2026 to FY 2027 for all LTCHs is 2.3 
percent. Urban LTCHs are also projected to experience an increase of 
2.3 percent.
    Only approximately 5 percent of the LTCHs are identified as being 
located in a rural area, and approximately 2 percent of all LTCH PPS 
standard Federal payment rate cases are expected to be treated in these 
rural hospitals. As shown in Table IV, we are projecting a 1.7 percent 
increase in estimated payments for LTCH PPS standard Federal payment 
rate cases for LTCHs located in a rural area. This increase is 
primarily due to the proposed 2.4 percent annual update to the LTCH PPS 
standard Federal payment rate for FY 2027 being partially offset by a 
projected decrease in payments due to the proposed changes to the area 
wage level adjustment and the proposed changes to the MS-LTC-DRG 
classifications and relative weights.
(2) Ownership Control
    LTCHs are grouped into three categories based on ownership control 
type: voluntary, proprietary, and government. Based on the best 
available data, approximately 16 percent of LTCHs are identified as 
voluntary (Table IV). The majority (approximately 81 percent) of LTCHs 
are identified as proprietary, while government owned and operated 
LTCHs represent approximately 3 percent of LTCHs. Based on ownership 
type, proprietary LTCHs are expected to experience an increase in 
payments to LTCH PPS standard Federal payment rate cases of 2.3 
percent. Voluntary LTCHs are expected to experience an increase in 
payments to LTCH PPS standard Federal payment rate cases from FY 2026 
to FY 2027 of 1.9 percent. Government owned and operated LTCHs are 
expected to experience an increase in payments to LTCH PPS standard 
Federal payment rate cases from FY 2026 to FY 2027 of 3.9 percent.
(3) Census Region
    The comparisons by region show that the changes in estimated 
payments per discharge for LTCH PPS standard Federal payment rate cases 
from FY 2026 to FY 2027 are projected to increase from 1.5 percent in 
the East South Central region to 3.4 percent in the Middle Atlantic 
region. These regional variations are primarily due to the changes to 
the area wage adjustment.
(4) Bed Size
    LTCHs are grouped into five categories based on bed size: 0-24 
beds; 25-49 beds; 50-74 beds; 75-124 beds; and greater than 125 beds. 
We project that LTCHs with 0-24 beds will experience the largest 
increase in payments with 2.7 percent. The remaining bed size 
categories are projected to experience an increase in payments in the 
range of 2.0 to 2.6 percent.
4. Effect on the Medicare Program
    We project that the provisions of this proposed rule will result in 
an increase in estimated aggregate LTCH PPS payments to LTCH PPS 
standard Federal payment rate cases in FY 2027 relative to FY 2026 of 
approximately 2.3 percent for the 318 LTCHs in our database. We 
estimate that aggregate FY 2027 LTCH PPS payments to LTCH PPS standard 
Federal payment rate cases will be approximately $2.459 billion, as 
compared to estimated aggregate FY 2026 LTCH PPS payments of 
approximately $2.404 billion, resulting in an estimated overall 
increase in payments of approximately $55 million.
    As we discuss in detail throughout this proposed rule, based on the 
best available data, we believe that the provisions of this proposed 
rule relating to the LTCH PPS and the resulting LTCH PPS payment 
amounts will result in appropriate Medicare payments that are 
consistent with the statute.
5. Effect on Medicare Beneficiaries
    Under the LTCH PPS, hospitals receive payment based on the average 
resources consumed by patients for each diagnosis. We do not expect any 
changes in the quality of care or access to services for Medicare 
beneficiaries as a result of this proposed rule, and we continue to 
expect that paying prospectively for LTCH services will enhance the 
efficiency of the Medicare program. As discussed previously, we do not 
expect the implementation of the site neutral payment system to have a 
negative impact on access to or quality of care. As demonstrated in 
areas where there is little or no LTCH presence, general short-term 
acute care hospitals are effectively providing treatment for the same 
types of patients that are treated in LTCHs.

[[Page 19877]]

K. Effects of Proposed Requirements for the Hospital Inpatient Quality 
Reporting Program

    In sections IX.B. and IX.C. of the preamble of this proposed rule, 
we discuss the proposed requirements for hospitals reporting quality 
data under the Hospital Inpatient Quality Reporting Program to receive 
the full annual percentage increase for the FY 2029 payment 
determination and subsequent years.
    In this proposed rule, we are proposing to adopt three new 
measures: (1) the Advance Care Planning electronic clinical quality 
measure (eCQM) beginning with the CY 2028 reporting period/FY 2030 
payment determination; (2) the Hospital Harm-Postoperative Venous 
Thromboembolism (VTE) eCQM beginning with the CY 2028 reporting period/
FY 2030 payment determination; (3) the Excess Days in Acute Care After 
Hospitalization for Diabetes measure beginning with the July 1, 2025 
through June 30, 2027 performance period, associated with the FY 2029 
payment determination. We are also proposing to adopt five mortality 
measures for the July 1, 2024 through June 30, 2026 performance period, 
associated with the FY 2028 payment determination, through the July 1, 
2027 through June 30, 2029 performance period, associated with the FY 
2031 payment determination: (1) the Hospital 30-Day, All-Cause, Risk-
Standardized Mortality Rate Following Acute Myocardial Infarction 
Hospitalization measure; (2) the Hospital 30-Day, All-Cause, Risk-
Standardized Mortality Rate Following Heart Failure Hospitalization 
measure; (3) the Hospital 30-Day, All-Cause, Risk-Standardized 
Mortality Rate Following Pneumonia Hospitalization measure; (4) the 
Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate Following 
Chronic Obstructive Pulmonary Disease Hospitalization measure; and (5) 
the Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate 
Following Coronary Artery Bypass Graft (CABG) Surgery measure. We are 
also proposing to modify three measures beginning with the July 1, 2024 
through June 30, 2026 performance period, associated with the FY 2028 
payment determination: (1) the Excess Days in Acute Care after 
Hospitalization for Acute Myocardial Infarction measure; (2) the Excess 
Days in Acute Care after Hospitalization for Heart Failure measure; and 
(3) the Excess Days in Acute Care after Hospitalization for Pneumonia 
measure. We are proposing to remove three eCQMs beginning with the CY 
2028 reporting period/FY 2030 payment determination: (1) the VTE 
Prophylaxis eCQM; (2) the Intensive Care Unit VTE Prophylaxis eCQM; and 
(3) Discharged on Antithrombotic Therapy eCQM. We are also proposing an 
update to the reporting and submission requirements for the Maternal 
Morbidity Structural measure beginning with the CY 2026 reporting 
period/FY 2028 payment determination. Lastly, we are proposing to 
modify the reporting and submission requirements for eCQMs to require 
mandatory reporting of the Malnutrition Care Score eCQM beginning with 
the CY 2028 reporting period/FY 2030 payment determination, and to 
require mandatory reporting of Hospital Harm eCQMs after 2 years of 
self-selected reporting beginning with the CY 2028 reporting period/FY 
2030 payment determination.
    As shown in the summary tables in section XII.B.4.h. of the 
preamble of this proposed rule, we estimate an increase of 8,133 hours 
at a cost of $447,803 in information collection burden associated with 
the proposed policies compared to the currently approved information 
collection burden estimates under OMB control number 0938-1022 
(expiration date December 31, 2028).
    In section IX.B.1. of the preamble of this proposed rule, we are 
proposing to adopt the Advance Care Planning eCQM beginning with the CY 
2028 reporting period/FY 2030 payment determination. Additionally, in 
sections IX.C.3.b. and IX.C.4. of the preamble of this proposed rule, 
we are proposing to adopt the Hospital Harm-Postoperative VTE eCQM and 
subsequently remove the VTE Prophylaxis and Intensive Care Unit VTE 
Prophylaxis eCQMs beginning with the CY 2028 reporting period/FY 2030 
payment determination. While there is no change in information 
collection burden associated with these proposals because the VTE 
Prophylaxis and Intensive Care Unit VTE Prophylaxis eCQMs are available 
for hospitals to self-select to meet eCQM reporting requirements and 
the proposed Hospital Harm-Postoperative VTE eCQM would also be 
available for hospitals to self-select, we note that there would be a 
reduction in administrative burden as the proposals would result in 
replacing two process eCQMs with a single comprehensive outcome eCQM. 
We note that Hospital Harm-Postoperative VTE eCQM would become 
mandatory if the proposal to require Hospital Harm eCQMs after two 
years of self-selected reporting is finalized, and we have provided 
estimates for the Collection of Information burden in section 
XII.B.4.g. in the preamble of this proposed rule. We note the 
administrative costs associated with adoption of eCQMs are multifaceted 
and include not only the burden associated with reporting but also the 
costs associated with implementing and maintaining program 
requirements, such as maintaining measure specifications in hospitals' 
EHR systems for the eCQMs used in the Hospital Inpatient Quality 
Reporting Program.
    We do not anticipate any additional economic impact beyond those 
discussed in section XII.B.4. of the preamble of this proposed rule 
(Collection of Information) for the remaining proposals.
    Historically, 100 hospitals, on average, that participate in the 
Hospital Inpatient Quality Reporting Program do not receive the full 
annual percentage increase in any fiscal year due to the failure to 
meet all requirements. We anticipate that the number of hospitals not 
receiving the full annual percentage increase will be approximately the 
same as in past years based on review of previous performance.

L. Effects of Proposed Requirements for the PPS-Exempt Cancer Hospital 
Quality Reporting (PCHQR) Program

    In sections IX.B. and IX.D. of the preamble of this proposed rule, 
we discuss proposed requirements for PPS-Exempt Cancer Hospitals (PCHs) 
reporting quality data under the PCH Quality Reporting Program. The PCH 
Quality Reporting Program is authorized under section 1866(k) of the 
Act. There is no financial impact to Medicare reimbursement if a PCH 
does not submit data.
    We are proposing to adopt two measures beginning with the CY 2028 
reporting period/FY 2030 program year: (1) the Advance Care Planning 
electronic clinical quality measure (eCQM); and (2) the Malnutrition 
Care Score eCQM. We are also proposing to remove the COVID-19 
Vaccination Coverage among Healthcare Personnel measure beginning with 
the CY 2026 reporting period/FY 2028 program year.
    As shown in the summary tables in section XII.B.5. of the preamble 
of this proposed rule, across all PCHs we estimate an increase of 15 
hours at a cost of $826 in information collection burden associated 
with the proposed policies compared to the currently approved 
information collection burden estimates under OMB control number 0938-
1175 (expiration date January 31, 2029). We also estimate a decrease of 
between 88 hours at a savings of $4,972 and 99 hours at a savings of 
$5,801 in information collection burden associated with the finalized 
policies

[[Page 19878]]

compared to the currently approved information collection burden 
estimates under OMB control number 0920-1317 (expiration date January 
31, 2028).
    With regard to administrative costs associated with adoption of 
eCQMs, we believe they are multifaceted and include not only the burden 
associated with reporting but also the costs associated with 
implementing and maintaining program requirements, such as maintaining 
measure specifications in PCHs' electronic health record systems for 
the eCQMs used in the PCH Quality Reporting Program. As discussed in 
section IX.D.5.b.(1). of this proposed rule, we intend to transition to 
a fully digital quality measure landscape by transitioning eCQMs to 
Health Level 7[supreg] Fast Healthcare Interoperability 
Resources[supreg] (FHIR[supreg])-based eCQMs to promote 
interoperability and increase the value of quality measure 
data.571 572
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    \571\ For more information on dQMs, visit: https://ecqi.healthit.gov/dqm/about-dqms.
    \572\ FHIR[supreg] is the registered trademark of Health Level 
Seven International (HL7), and its use does not constitute 
endorsement by HL7.
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    We do not believe removal of the COVID-19 Vaccination Coverage 
among Healthcare Personnel measure would result in any additional 
economic impact beyond that discussed in section XII.B.5.c. of the 
preamble of this proposed rule (Collection of Information).

M. Proposed Effects of Requirements for the Long-Term Care Hospital 
Quality Reporting Program (LTCH QRP)

    In section IX.E.3. of the preamble of this proposed rule, we are 
proposing to remove the COVID-19 Vaccination Coverage among Healthcare 
Personnel (HCP) (HCP COVID-19 Vaccine) measure. We are also proposing, 
in section IX.E.4. of the preamble of this proposed rule, to remove the 
COVID-19 Vaccine: Percent of Patients/Residents Who Are Up to Date 
(Patient/Resident COVID-19 Vaccine) measure. If these proposals are 
finalized, both measure removals will be effective beginning with the 
FY 2028 LTCH QRP. In section IX.E.6.b. of the preamble of this proposed 
rule, we are proposing to revise the data submission deadline for LCDS 
assessment and CDC NHSN data for the LTCH QRP. Finally, in sections 
IX.E.5. of the preamble of this proposed rule, we seek public comments 
on future measure concepts for the LTCH QRP.
    The effect of these proposals for the LTCH QRP would be an overall 
decrease in burden for LTCHs participating in the LTCH QRP. As shown in 
summary table I.M.-01, we estimate a decrease in total annual burden of 
4,473 hours and $207,309.29 for 318 eligible LTCHs associated with our 
proposed policies. We refer readers to section XII.B.8. of the preamble 
of this proposed rule, where CMS has provided an estimate of the burden 
and cost to LTCHs.
[GRAPHIC] [TIFF OMITTED] TP14AP26.265

    We are seeking comments specific to the estimates.

N. Effects of Proposed Requirements Regarding the Medicare Promoting 
Interoperability Program

    In sections IX.B. and IX.F. of the preamble of this proposed rule, 
we discuss proposed requirements for eligible hospitals and critical 
access hospitals (CAHs) to report objectives and measures and 
electronic clinical quality measures (eCQMs) under the Medicare 
Promoting Interoperability Program.
    In this proposed rule, we are proposing to adopt three new measures 
beginning with the EHR reporting period in CY 2028: (1) the Advance 
Care Planning eCQM beginning with the CY 2028 reporting period; (2) the 
Hospital Harm-Postoperative Venous Thromboembolism (VTE) eCQM beginning 
with the CY 2028 reporting period; and (3) the Unique Device 
Identifiers for Implantable Medical Devices measure beginning with the 
EHR reporting period in CY 2027. Additionally, we are proposing to 
remove two attestations and five measures: (1) the Office of the 
National Coordinator for Health Information Technology (ONC) Direct 
Review Attestation beginning with the EHR reporting period in CY 2026; 
(2) the optional ONC-Authorized Certification Body (ONC-ACB) 
Surveillance Attestation beginning with the EHR reporting period in CY 
2026; (3) the Support Electronic Referral Loops by Sending Health 
Information measure beginning with the EHR reporting period in CY 2028; 
(4) the Support Electronic Referral Loops by Receiving and Reconciling 
Health Information measure beginning with the EHR reporting period in 
CY 2028; (5) the Venous Thromboembolism Prophylaxis (VTE) Prophylaxis 
eCQM beginning with the CY 2028 reporting period; (6) the Intensive 
Care Unit VTE Prophylaxis eCQM beginning with the CY 2028 reporting 
period; and (7) the Discharged on Antithrombotic Therapy eCQM beginning 
with the CY 2028 reporting period. We are also proposing updates to the 
Electronic Prior Authorization measure by modifying the ONC 
certification criteria eligible hospitals and CAHs must use to attest 
``Yes,'' modifying the measure text, and proposing to make the measure 
an optional bonus measure for the EHR reporting period in CY 2027 and 
required for the EHR reporting period in CY 2028. Lastly, we are 
proposing to modify the reporting and submission requirements for the 
Malnutrition Care Score eCQM beginning with the CY 2028 reporting 
period and modify the reporting and submission requirements for 
Hospital Harm eCQMs to require mandatory reporting after 2 years of 
self-selected reporting beginning with the CY 2028 reporting period.
    As discussed in section XII.B.7.i. of the preamble of this proposed 
rule, we estimate a decrease of 3,886 hours at a cost of $213,982 in 
information collection burden associated with our proposed policies and 
updated burden estimates for the EHR reporting period in CY 2026 and 
future years compared

[[Page 19879]]

to our currently approved information collection burden estimates. We 
refer readers to section XIII.B.7. of the preamble of this proposed 
rule (Collection of Information) for a detailed discussion of the 
calculations estimating the changes to the information collection 
burden for submitting data to the Medicare Promoting Interoperability 
Program.
    In section IX.F.9.b. of the preamble of this proposed rule, we are 
proposing to adopt the Hospital Harm VTE eCQM and remove the VTE 
Prophylaxis and Intensive Care Unit VTE Prophylaxis eCQMs beginning 
with the CY 2028 reporting period. While there is no change in 
information collection burden associated with these proposals because 
the two current VTE eCQMs are available for CAHs to self-select to meet 
reporting requirements and the proposed Hospital Harm VTE eCQM would 
also be available for CAHs to self-select (we note that it would become 
mandatory after two years if the proposal to require Hospital Harm 
eCQMs after two years of self-selected reporting is finalized), we note 
that there would be a reduction in administrative burden as the 
proposals would result in replacing two process measures with a single 
comprehensive outcome measure. Additionally, in section IX.B.1. of the 
preamble of this proposed rule, we are proposing to adopt the Advance 
Care Planning eCQM beginning with the CY 2028 reporting period, for 
which there is also no change in information collection burden. 
Regarding administrative costs associated with adoption of eCQMs, we 
believe they are multifaceted and include not only the burden 
associated with reporting but also the costs associated with 
implementing and maintaining program requirements, such as maintaining 
measure specifications in EHR systems for the eCQMs used in the 
program.
    In section IX.F.4. of the preamble of this proposed rule, we are 
proposing to remove the Support Electronic Referral Loops by Sending 
Health Information and Support Electronic Referral Loops by Receiving 
and Reconciling Health Information measures beginning with the EHR 
reporting period in CY 2028. If finalized, eligible hospitals and CAHs 
currently reporting these measures would be required to instead report 
either the Health Information Exchange (HIE) Bi-Directional Exchange 
measure or the Enabling Exchange Under the Trusted Exchange Framework 
and Common Agreement (TEFCA) measure. Based on Medicare Promoting 
Interoperability Program data from the EHR reporting period in CY 2024, 
the 26.6 percent of eligible hospitals and CAHs that reported on the 
Support Electronic Referral Loops by Sending Health Information and 
Support Electronic Referral Loops by Receiving and Reconciling Health 
Information measures may incur some onboarding labor and vendor costs 
associated with the process to plan, procure, configure, and validate 
new workflows as well as the transition to set up and technically 
validate the functioning of the information exchange. In addition, 
eligible hospitals and CAHs may also incur some recurring costs 
associated with joining a health information exchange or TEFCA QHIN, 
such as annual subscription fees, transaction fees, or vendor and 
maintenance support, depending on the nature of their agreement with 
health IT vendors or other entities through which they participate in 
TEFCA. However, because each eligible hospital, CAH, and health IT 
vendor or other entity is unique and we lack sufficient insight into 
the individual decisions of each, the extent of these costs is 
difficult to quantify. Published literature largely does not evaluate 
the costs and benefits associated with HIE or TEFCA adoption in any 
detail, although some published papers indicate a mixture of both cost 
benefits and savings associated with HIE adoption.573 574 We 
seek public comments describing the direct costs and benefits 
associated with HIE or TEFCA adoption because it may improve our 
ability to quantify the financial impacts for eligible hospitals and 
CAHs affected by the proposal.
---------------------------------------------------------------------------

    \573\ Menachemi N, Rahurkar S, Harle CA, Vest JR. The benefits 
of health information exchange: an updated systematic review. 
Journal of the American Medical Informatics Association. 2018 
Sep;25(9):1259-65.
    \574\ Everson J, Chang W, Patel V, Adler-Milstein J. The state 
of health information organizations and plans to participate in the 
federal exchange framework. Health Affairs Scholar. 2024 
Aug;2(8):qxae098.
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    We do not believe the remaining provision results in any additional 
economic impact beyond those discussed in section XII.B.7. of the 
preamble of this proposed rule.

O. Alternatives Considered

    This proposed rule contains a range of policies. It also provides 
descriptions of the statutory provisions that are addressed, identifies 
the proposed policies, and presents rationales for our decisions and, 
where relevant, alternatives that were considered.
1. Alternatives Considered to the LTCH QRP Reporting Requirements
    With regard to the proposals to remove both the COVID-19 
Vaccination Coverage among Healthcare Personnel (HCP) and COVID-19 
Vaccine: Percent of Patients/Residents Who Are Up to Date measure, we 
considered keeping both measures. However, when these measures were 
adopted, there were well-defined parameters for receiving the COVID-19 
vaccination. We determined that these measures no longer align with 
current clinical guidelines and therefore the publicly reported 
measures may not reliably give consumers information on the number of 
HCP that are vaccinated, or the percent of stays in which patients in 
an LTCH are up to date on their COVID-19 vaccinations.
    With regard to the proposal to revise the LTCH QRP assessment data 
submission deadline from 4.5 months to 45 days, we considered keeping 
the deadline unchanged. We determined that 45 days is a reasonable 
amount of time for LTCHs to submit data and make any necessary 
corrections, and that the benefits of this shortened timeframe include 
making the data timelier and more actionable which increases the value 
of publicly reported data, both for consumers and their families and 
for LTCHs to use in their quality improvement activities.
2. Alternatives Considered for the Transforming Episode Accountability 
Model
    In section X.A. of the preamble of this proposed rule, we discuss 
the mandatory episode-based payment model called the Transforming 
Episode Accountability Model (TEAM). TEAM is designed to improve 
beneficiary care through financial accountability for episodes 
categories that begin with one of the following procedures: coronary 
artery bypass graft, lower extremity joint replacement, major bowel 
procedure, surgical hip/femur fracture treatment, and spinal fusion. 
TEAM will test whether financial accountability for these episode 
categories reduces Medicare expenditures while preserving or enhancing 
the quality of care for Medicare beneficiaries. We anticipate that TEAM 
would benefit Medicare beneficiaries through improving the coordination 
of items and services paid for through Medicare FFS payments, 
encouraging provider investment in health care infrastructure and 
redesigned care processes, and incentivizing higher value care across 
the inpatient and post-acute care settings for the episode.
    Throughout this proposed rule, we have identified our proposed 
policies and alternatives that we have considered and provided 
information as to the effects of these alternatives and

[[Page 19880]]

the rationale for each of the proposed policies. For example, in 
section X.A.2.c.(2).(c). of the preamble of this proposed rule we 
considered removing the 3 percent cap on the retrospective trend factor 
to account for MS-DRG and HCPCS-APC changes that may occur after 
preliminary target prices are released. However, we are concerned that 
removing the cap on the retrospective trend factor would introduce 
target price instability and would present challenges for TEAM 
participants to predict performance in the model.
    We solicit and welcome comments on our proposals, on the 
alternatives we have identified, including starting the proposed 
changes for MS-DRG and APC update factors in performance year 2, as 
discussed in section X.A.2.c.(2). of the preamble of this proposed 
rule, and on other alternatives that we should consider.
3. Alternatives Considered for the Comprehensive Care for Joint 
Replacement Expanded (CJR-X) Model
    In section X.C. of this proposed rule, we are proposing the 
Comprehensive Care for Joint Replacement Expanded (CJR-X) Model to 
build upon the Comprehensive Care for Joint Replacement (CJR) Model 
that was tested from April 1, 2016 to December 31, 2024. Based on the 
strength of evidence from the CJR Model test, the Innovation Center is 
proposing to expand the model to all acute care hospitals in the 50 
United States, District of Columbia, and U.S. Territories, except for 
hospitals participating in the Transforming Episode Accountability 
Model (TEAM) and hospitals located in Maryland. CJR-X would include 
several updates to the CJR Model. We propose that the model would begin 
October 1, 2027 (FY 2028).
    The model would focus on improving care and reducing spending for 
Medicare beneficiaries undergoing lower extremity joint replacement 
(LEJR) procedures. Participant hospitals would be held accountable for 
spending and quality of care during an initial LEJR admission and for 
the 90 days following hospital discharge. Throughout the proposed rule, 
we identify proposed policies and any alternatives considered. We 
provide background and rationale for each of the proposed policies and 
discussion of alternative policies including their potential effects. 
For example, we considered several original CJR quality reporting and 
payment methodology policies but ultimately proposed updates in 
response to the CJR Model evaluation results, stakeholder feedback, and 
changes to national care delivery patterns among both CJR and non-CJR 
hospitals. Throughout the preamble, we solicit comments on our 
proposals, alternatives policies, and other options we should consider.

P. Overall Conclusion

1. Acute Care Hospitals
    Acute care hospitals are estimated to experience an increase of 
approximately $1.9 billion in FY 2027, including operating, capital, 
and the effects of: (1) new technology add-on payment changes; (2) the 
changes to estimated uncompensated care payments; and (3) the statutory 
expiration of the MDH program and the temporary changes to the low-
volume hospital payment adjustment on January 1, 2027. The estimated 
change in operating payments including outlier payments, and 
uncompensated care payments is approximately $1.5 billion (discussed in 
sections I.F of this Appendix). The estimated change in capital 
payments is approximately $0.18 billion (discussed in section I.I. of 
this Appendix). The estimated change in the combined effects of other 
proposed changes including new technology add-on payment changes and 
the statutory expiration of the temporary changes to the low-volume 
hospital payment adjustment on January 1, 2027, is approximately $0.18 
billion as discussed in sections I.F and I.G. of the Appendix of this 
proposed rule. Totals may differ from the sum of the components due to 
rounding.
    Table I. of section I.F. of the Appendix and Table III of section 
I.I. of this Appendix of this proposed rule also demonstrates the 
estimated redistributional impacts of the proposed FY 2027 changes on 
IPPS operating and capital payments, respectively, relative to FY 2026. 
The discussions presented in the previous pages, in combination with 
the remainder of this proposed rule, constitute a regulatory impact 
analysis.
2. LTCHs
    Overall, LTCHs are projected to experience an increase in estimated 
payments in FY 2027. In the impact analysis, we are using the rates, 
factors, and policies presented in this proposed rule based on the best 
available data to estimate the change in payments under the LTCH PPS 
for FY 2027. Accordingly, based on the best available data for the 318 
LTCHs included in our analysis, we estimate that aggregate FY 2027 LTCH 
PPS payments to LTCH PPS standard Federal payment rate cases would 
increase approximately $55 million relative to FY 2026, primarily due 
to the proposed annual update to the LTCH PPS standard Federal rate.

Q. Regulatory Review Cost Estimation

    If regulations impose administrative costs on private entities, 
such as the time needed to read and interpret a rule, we should 
estimate the cost associated with regulatory review. Due to the 
uncertainty involved with accurately quantifying the number of entities 
that will review the rule, we assume that the total number of unique 
commenters on last year's proposed rule will be the number of reviewers 
of this proposed rule. We acknowledge that this assumption may 
understate or overstate the costs of reviewing the rule. It is possible 
that not all commenters reviewed last year's rule in detail, and it is 
also possible that some reviewers chose not to comment on the proposed 
rule. For these reasons, we believe that the number of past commenters 
would be a fair estimate of the number of reviewers of this rule. We 
welcome any comments on the approach in estimating the number of 
entities which will review this proposed rule.
    We recognize that different types of entities are in many cases 
affected by mutually exclusive sections of the rule. Thus, for the 
purposes of our estimate we assume that each reviewer read 
approximately 50 percent of the proposed rule. Finally, in our 
estimates, we have used the 5,409 number of timely pieces of 
correspondence on the FY 2026 IPPS/LTCH PPS proposed rule as our 
estimate for the number of reviewers of this rule. We continue to 
acknowledge the uncertainty involved with using this number, but we 
believe it is a fair estimate due to the variety of entities affected 
and the likelihood that some of them choose to rely (in full or in 
part) on press releases, newsletters, fact sheets, or other sources 
rather than the comprehensive review of preamble and regulatory text. 
We seek comments on this assumption.
    Using the wage information from the BLS for medical and health 
service managers (Code 11-9111), we estimate that the cost of reviewing 
the proposed rule is $113.42 per hour, including overhead and fringe 
benefits (https://www.bls.gov/oes/current/oes_nat.htm). Assuming an 
average reading speed, we estimate that it would take approximately 
17.42 hours for the staff to review half of this proposed rule. For 
each IPPS hospital or LTCH that reviews this proposed rule, the 
estimated cost is $1,975.78 (17.42 hours x $113.42). Therefore, we 
estimate that the total cost of reviewing this proposed rule is

[[Page 19881]]

$10,686,994 ($1,975.78 x 5,409 reviewers).

II. Accounting Statements and Tables

A. Acute Care Hospitals

    As required by OMB Circular A-4 (available at https://www.reginfo.gov/public/jsp/Utilities/a-4.pdf) in Table V. of this 
Appendix, we have prepared an accounting statement showing the 
classification of the expenditures associated with the provisions of 
this proposed rule as they relate to acute care hospitals. This table 
provides our best estimate of the change in Medicare payments to 
providers as a result of the proposed changes to the IPPS presented in 
this proposed rule. All expenditures are classified as transfers to 
Medicare providers.
    As shown in Table V. of the Appendix of this proposed rule, the net 
costs to the Federal Government associated with the policies in this 
proposed rule are estimated at $1.9 billion.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP14AP26.266

B. LTCHs

    As discussed in section I.J. of the Appendix of this proposed rule, 
the impact analysis of the payment rates and factors presented in this 
proposed rule under the LTCH PPS is projected to result in an increase 
in estimated aggregate LTCH PPS payments to LTCH PPS standard Federal 
payment rate cases in FY 2027 relative to FY 2026 of approximately $55 
million based on the data for 318 LTCHs in our analysis. Therefore, as 
required by OMB Circular A-4 (available at https://www.reginfo.gov/public/jsp/Utilities/a-4.pdf), in Table VI. of the Appendix of this 
proposed rule, we have prepared an accounting statement showing the 
classification of the expenditures associated with the provisions of 
this proposed rule as they relate LTCHs. Table VI. of this Appendix 
provides our best estimate of the estimated change in Medicare payments 
under the LTCH PPS as a result of the payment rates and factors and 
other provisions presented in this proposed rule based on the data for 
the 318 LTCHs in our analysis. All expenditures are classified as 
transfers to Medicare providers (that is, LTCHs).
    As shown in Table VI. of the Appendix of this proposed rule, the 
net cost to the Federal Government associated with the policies for 
LTCHs in this proposed rule are estimated at $55 million.
[GRAPHIC] [TIFF OMITTED] TP14AP26.267

C. Quality Reporting Programs

    As required by OMB Circular A-4 (available at https://www.reginfo.gov/public/jsp/Utilities/a-4.pdf) in Table V. of this 
Appendix, we have prepared an accounting statement showing the 
classification of the costs associated with the provisions of this 
proposed rule as they relate to the following quality reporting 
programs: Hospital Inpatient Quality Reporting Program, PPS-Exempt 
Cancer Hospital Quality Reporting Program, Medicare Promoting 
Interoperability Program and the Long-Term Care Hospital Quality 
Reporting Program.
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[[Page 19882]]



D. Non-Renal Organ Acquisition Costs for Independent Organ Procurement 
Organizations and Histocompatibility Laboratories

    As required by OMB Circular A-4 (available at https://www.reginfo.gov/public/jsp/Utilities/a-4.pdf) in Table V. of this 
Appendix, we have prepared an accounting statement showing the 
classification of the expenditures and costs associated with the 
provisions of this proposed rule as they relate to non-renal organ 
acquisition costs for independent organ procurement organizations, and 
histocompatibility laboratories.
[GRAPHIC] [TIFF OMITTED] TP14AP26.269

III. Regulatory Flexibility Act (RFA) Analysis

    The RFA requires agencies to analyze options for regulatory relief 
of small entities, if a rule has a significant impact on a substantial 
number of small entities. For purposes of the RFA, small entities 
include small businesses, nonprofit organizations, and small government 
jurisdictions. The North American Industry Classification System 
(NAICS) was adopted in 1997 and is the current standard used by the 
Federal statistical agencies related to the U.S. business economy. 
Hospitals and most other health care providers and suppliers are small 
entities, either by being nonprofit organizations or by meeting the 
Small Business Administration (SBA) definition of a small business 
(having revenues of less than $9.0 million to $47.0 million in any 1 
year). (For details, see the SBA's website at http://www.sba.gov/content/small-business-size-standards (refer to the 620000 series or 
Sector 62, Health Care and Social Assistance).)
    We utilized the NAICS U.S. industry title ``Hospitals'' and 
corresponding NAICS code 622 in determining impacts for small entities 
for this rule. The NAICS code 622 has a size standard of $47 
million.\575\ Table VII shows the number of firms, revenue, and 
estimated impact per hospital category.
---------------------------------------------------------------------------

    \575\ https://www.sba.gov/sites/sbagov/files/2023-03/Table%20of%20Size%20Standards_Effective%20March%2017%2C%202023%20%281%29%20%281%29_0.pdf.
---------------------------------------------------------------------------

    For purposes of the RFA, approximately half of all hospitals are 
considered to be small entities. As shown in Table IX, hospitals with 
enterprise size of $49 million or less (1,494) are approximately 48 
percent of total firms (3,136). Because roughly half of hospitals 
qualify as small entities under the RFA, the impacts described in this 
proposed rule generally affect small entities. Individuals and States 
are not included in the definition of a small entity. MACs are also not 
considered to be small entities because they do not meet the SBA 
definition of a small business.

[[Page 19883]]

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[GRAPHIC] [TIFF OMITTED] TP14AP26.271

BILLING CODE 4120-01-C
    HHS interprets the RFA to consider economic effects ``significant'' 
when more than 5 percent of providers incur impacts of at least 3 to 5 
percent or more of total revenue or total costs. Approximately 44 
percent of Medicare-participating hospitals report Medicare utilization 
of at least 25 percent of their total inpatient days (see the 
``Medicare Utilization as a Percent of Inpatient Days'' category in 
Table I in section I.F. of the Appendix to this proposed rule), 
indicating that Medicare payments constitute a substantial portion of 
hospital revenue. In addition, approximately 5 percent of hospitals 
qualify as MDHs and report Medicare utilization at least 60 percent of 
the hospital's inpatient days or discharges. Based on this analysis, we 
estimate that the policies proposed in this rule would affect more than 
5 percent of hospitals with changes in Medicare revenue of at least 3 
to 5 percent.
    For example, we estimate that a majority of the 3,013 IPPS 
hospitals included in the impact analysis presented in ``Table I.--
Impact Analysis of Proposed Changes to the IPPS for Operating Costs for 
FY 2027'' would experience average payment increases of approximately 
1.2 percent. We attribute these increases primarily to the proposed 
outlier payments, the proposed hospital rate update, and the proposed 
uncompensated care payments, as described in section I.F. of the 
Appendix to this proposed rule. Across hospital categories, we estimate 
that impacts would range from an increase of 3.3 percent for urban New 
England hospitals to a decrease of 7.6 percent for MDHs, as described 
in section I.F. of the Appendix to this proposed rule.
    We project that LTCHs would experience overall an increase in 
payments for LTCH PPS standard Federal payment rate cases in FY 2027. 
In this impact analysis, we use the rates, factors, and policies 
proposed in this rule, based on the best available data, to estimate 
payment changes for FY 2027. Accordingly, using the best available

[[Page 19884]]

data for the 318 LTCHs included in our analysis, we estimate that LTCH 
PPS payments for LTCH PPS standard Federal payment rate cases would 
increase approximately $55 million relative to FY 2026, primarily due 
to the proposed annual update to the LTCH PPS standard Federal rate.
    We further estimate that the 318 LTCH PPS hospitals included in the 
impact analysis presented in ``Table IV: Impact of Proposed Payment 
Rate and Policy Changes to LTCH PPS Payments for LTCH PPS Standard 
Federal Payment Rate Cases for FY 2027 (Estimated FY 2026 Payments 
Compared to Estimated FY 2027 Payments)'' would experience an average 
increase of approximately 2.3 percent. We attribute this increase 
primarily to the proposed annual standard Federal rate update of 2.4 
percent for FY 2027, as discussed in section I.J. of the Appendix to 
this proposed rule. Across LTCH categories, we estimate that impacts 
would range from an increase of 3.9 percent for government-owned LTCHs 
to an increase of 1.7 percent for rural LTCHs, as described in section 
I.J. of the Appendix to this proposed rule.
    As shown in Tables V. and VI. of this Appendix, we estimate that 
this proposed rule will result in aggregate transfers of approximately 
$1.9 billion to IPPS hospitals and $55 million to LTCHs. In Table IX., 
we estimate the impact of this rule on small entities by applying the 
SBA size standards and approximating the share of affected firms and 
revenues attributable to small entities. Specifically, we assume that 
small firms represent 46.1 percent of affected entities and account for 
approximately 1.8 percent of total industry revenues. Using these 
assumptions, we estimate that of the 3,013 IPPS hospitals, 
approximately 1,389 are small entities, and of the 318 LTCHs, 
approximately 147 are small entities. Applying the 1.8 percent revenue 
share, we estimate that approximately $34.3 million of the IPPS impacts 
and approximately $1.0 million of the LTCH impacts would accrue to 
small entities, which corresponds to an average impact of approximately 
$24,727 per small IPPS hospital and approximately $6,782 per small 
LTCH.
    This proposed rule includes a range of proposals. We describe the 
applicable statutory provisions, identify the proposed policies, 
present the rationale for these proposals, and, where appropriate, the 
alternatives considered. Rationales for various proposals are outlined 
in the Statement of Need in section I.A. of the Appendix to this 
proposed rule. For example, under the statutory requirement at section 
1886(b)(3)(B) of the Act, we propose to update the national 
standardized amount for inpatient hospital operating costs by the 
applicable percentage increase of 2.4 percent, as described in section 
I.A of the Appendix to this proposed rule, and we did not consider an 
alternative for small businesses. Alternatives considered for various 
proposals are described in section I.O. of the Appendix to this 
proposed rule.
    The analyses presented in this Appendix and throughout the preamble 
of this proposed rule constitute our initial regulatory flexibility 
analysis. We invite public comment on our estimates and our assessment 
of the impact of the proposed policies on small entities.

IV. Impact on Small Rural Hospitals

    Section 1102(b) of the Act requires us to prepare a regulatory 
impact analysis for any proposed or final rule that may have a 
significant impact on the operations of a substantial number of small 
rural hospitals. This analysis must conform to the provisions of 
section 603 of the RFA. With the exception of hospitals located in 
certain New England counties, for purposes of section 1102(b) of the 
Act, we define a small rural hospital as a hospital that is located 
outside of an urban area and has fewer than 100 beds. Section 601(g) of 
the Social Security Amendments of 1983 (Pub. L. 98-21) designated 
hospitals in certain New England counties as belonging to the adjacent 
urban area. Thus, for purposes of the IPPS and the LTCH PPS, we 
continue to classify these hospitals as urban hospitals.
    As shown in Table I. in section I.F. of the Appendix of this 
proposed rule, rural IPPS hospitals with 0-49 beds (316 hospitals) are 
expected to experience a decrease in payments from FY 2026 to FY 2027 
of 0.7 percent and rural IPPS hospitals with 50-99 beds (175 hospitals) 
are expected to experience a decrease in payments from FY 2026 to FY 
2027 of 0.3 percent. These changes are primarily driven by the proposed 
hospital rate update and the increase in estimated uncompensated care 
payment offset by the statutory expiration of the MDH program and the 
budget neutral changes to the MS-DRGs and relative weights. We refer 
readers to Table I. in section I.F. of the Appendix of this proposed 
rule for additional information on the quantitative effects of the 
proposed policy changes under the IPPS for operating costs.
    All rural LTCHs (16 hospitals) shown in Table IV. in section I.J. 
of the Appendix of this proposed rule have less than 100 beds. These 
hospitals are expected to experience an increase in payments from FY 
2026 to FY 2027 of 1.7 percent. This increase is primarily due to the 
proposed 2.4 percent annual update to the LTCH PPS standard Federal 
payment rate for FY 2027 being partially offset by a projected decrease 
in payments due to the proposed changes to the area wage level 
adjustment and the proposed changes to the MS-LTC-DRG classifications 
and relative weights.

V. Unfunded Mandates Reform Act Analysis

    Section 202 of the Unfunded Mandates Reform Act of 1995 (Pub. L. 
104-4) also requires that agencies assess anticipated costs and 
benefits before issuing any rule whose mandates require spending in any 
1 year of $100 million in 1995 dollars, updated annually for inflation. 
In 2026, that threshold is approximately $193 million. This proposed 
rule would not mandate any requirements that meet the threshold for 
State, local, or Tribal governments, nor would it affect private sector 
costs.

VI. Executive Order 13132

    Executive Order 13132 establishes certain requirements that an 
agency must meet when it promulgates a proposed rule (and subsequent 
final rule) that imposes substantial direct requirement costs on State 
and local governments, preempts state law, or otherwise has federalism 
implications. This proposed rule would not have a substantial direct 
effect on State or local governments, preempt states, or otherwise have 
a federalism implication.

VII. Executive Order 13175

    Executive Order 13175 directs agencies to consult with Tribal 
officials prior to the formal promulgation of regulations having Tribal 
implications. Section 1880(a) of the Act states that a hospital of the 
Indian Health Service, whether operated by such Service or by an Indian 
Tribe or Tribal organization, is eligible for Medicare payments so long 
as it meets all of the conditions and requirements for such payments 
which are applicable generally to hospitals. Consistent with section 
1880(a) of the Act, this proposed rule contains general provisions also 
applicable to hospitals and facilities operated by the Indian Health 
Service or Tribes or Tribal organizations under the Indian Self-
Determination and Education Assistance Act. We continue to engage in 
consultations with Tribal officials on IPPS issues of interest. We use 
input received from these consultations, as

[[Page 19885]]

well as the comments on the proposed rule, to inform our rulemaking.

VIII. Executive Order 14192

    Executive Order 14192, titled ``Unleashing Prosperity Through 
Deregulation,'' was issued on January 31, 2025, and requires that ``any 
new incremental costs associated with new regulations shall, to the 
extent permitted by law, be offset by the elimination of existing costs 
associated with at least 10 prior regulations.

Appendix B: Recommendation of Update Factors for Operating Cost Rates 
of Payment for Inpatient Hospital Services

I. Background

    Section 1886(e)(4)(A) of the Act requires that the Secretary, 
taking into consideration the recommendations of MedPAC, recommend 
update factors for inpatient hospital services for each fiscal year 
that take into account the amounts necessary for the efficient and 
effective delivery of medically appropriate and necessary care of high 
quality. Under section 1886(e)(5) of the Act, we are required to 
publish update factors recommended by the Secretary in the proposed and 
final IPPS rules. Accordingly, this Appendix provides the 
recommendations for the update factors for the IPPS national 
standardized amount, the hospital-specific rate for SCHs and MDHs, and 
the rate-of-increase limits for certain hospitals excluded from the 
IPPS, as well as LTCHs. In prior years, we made a recommendation in the 
IPPS proposed rule and final rule for the update factors for the 
payment rates for IRFs and IPFs. However, for FY 2027, consistent with 
our approach for FY 2026, we are including the Secretary's 
recommendation for the update factors for IRFs and IPFs in separate 
Federal Register documents at the time that we announce the annual 
updates for IRFs and IPFs. We also discuss our response to MedPAC's 
recommended update factors for inpatient hospital services.

II. Inpatient Hospital Update for FY 2027

A. Proposed FY 2027 Inpatient Hospital Update

    As discussed in section VI.B. of the preamble to this proposed 
rule, for FY 2027, consistent with section 1886(b)(3)(B) of the Act, as 
amended by sections 3401(a) and 10319(a) of the Affordable Care Act, we 
are setting the applicable percentage increase by applying the 
following adjustments in the following sequence. Specifically, the 
applicable percentage increase under the IPPS is equal to the rate-of-
increase in the hospital market basket for IPPS hospitals in all areas, 
subject to a reduction of one-quarter of the applicable percentage 
increase (prior to the application of other statutory adjustments; also 
referred to as the market basket percentage increase or rate-of-
increase (with no adjustments)) for hospitals that fail to submit 
quality information under rules established by the Secretary in 
accordance with section 1886(b)(3)(B)(viii) of the Act and a reduction 
of three-quarters of the applicable percentage increase (prior to the 
application of other statutory adjustments; also referred to as the 
market basket percentage increase or rate-of-increase (with no 
adjustments)) for hospitals not considered to be meaningful electronic 
health record (EHR) users in accordance with section 1886(b)(3)(B)(ix) 
of the Act, and then an adjustment based on changes in economy-wide 
productivity (the productivity adjustment). Section 1886(b)(3)(B)(xi) 
of the Act, as added by section 3401(a) of the Affordable Care Act, 
states that application of the productivity adjustment may result in 
the applicable percentage increase being less than zero.
    We note that, in compliance with section 404 of the MMA, in the FY 
2026 IPPS/LTCH PPS final rule (90 FR 36859 through 36879), we replaced 
the 2018 based IPPS operating and capital market baskets with the 
rebased and revised 2023-based IPPS operating and capital market 
baskets beginning in FY 2026.
    In this FY 2027 IPPS/LTCH PPS proposed rule, in accordance with 
section 1886(b)(3)(B) of the Act, we are proposing to base the proposed 
FY 2027 market basket update used to determine the applicable 
percentage increase for the IPPS on IGI's fourth quarter 2025 forecast 
of the 2023-based IPPS market basket rate-of-increase with historical 
data through third quarter 2025, which is estimated to be 3.2 percent. 
In accordance with section 1886(b)(3)(B) of the Act, as amended by 
section 3401(a) of the Affordable Care Act, in section VI.B. of the 
preamble of this FY 2027 IPPS/LTCH PPS proposed rule, based on IGI's 
fourth quarter 2025 forecast, we are proposing a productivity 
adjustment of 0.8 percentage point for FY 2027. We are also proposing 
that if more recent data subsequently become available, we would use 
such data, if appropriate, to determine the FY 2027 market basket 
update and productivity adjustment for the FY 2027 IPPS/LTCH PPS final 
rule.
    Therefore, based on IGI's fourth quarter 2025 forecast of the 2023-
based IPPS market basket percentage increase and the productivity 
adjustment, depending on whether a hospital submits quality data under 
the rules established in accordance with section 1886(b)(3)(B)(viii) of 
the Act (hereafter referred to as a hospital that submits quality data) 
and is a meaningful EHR user under section 1886(b)(3)(B)(ix) of the Act 
(hereafter referred to as a hospital that is a meaningful EHR user), we 
are proposing four possible applicable percentage increases that could 
be applied to the standardized amount, as shown in the table that 
follows.
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[[Page 19886]]



B. Proposed FY 2027 SCH and MDH Update

    Section 1886(b)(3)(B)(iv) of the Act provides that the applicable 
percentage increase in the hospital-specific rate for SCHs and MDHs 
equals the applicable percentage increase set forth in section 
1886(b)(3)(B)(i) of the Act (that is, the same update factor as for all 
other hospitals subject to the IPPS). Therefore, the update to the 
hospital-specific rates for SCHs and MDHs is also subject to section 
1886(b)(3)(B)(i) of the Act, as amended by sections 3401(a) and 
10319(a) of the Affordable Care Act.
    As discussed in section VI.F. of the preamble of this proposed 
rule, section 6202 of the Consolidated Appropriations Act, 2026 (Pub. 
L. 119-75) extended the MDH program for FY 2027 discharges occurring 
before January 1, 2027. Therefore, under current law, the MDH program 
will expire for discharges on or after January 1, 2027. We refer 
readers to section V.E. of the preamble of this proposed rule for 
further discussion of the MDH program.
    As previously stated, the update to the hospital specific rate for 
SCHs and MDHs is subject to section 1886(b)(3)(B)(i) of the Act, as 
amended by sections 3401(a) and 10319(a) of the Affordable Care Act. 
Accordingly, depending on whether a hospital submits quality data and 
is a meaningful EHR user, we are proposing the same four possible 
applicable percentage increases in the previous table for the hospital-
specific rate applicable to SCHs and MDHs.

C. Proposed FY 2027 Puerto Rico Hospital Update

    Because Puerto Rico hospitals are no longer paid with a Puerto 
Rico-specific standardized amount under the amendments to section 
1886(d)(9)(E) of the Act, there is no longer a need for us to make an 
update to the Puerto Rico standardized amount. Hospitals in Puerto Rico 
are now paid 100 percent of the national standardized amount and, 
therefore, are subject to the same update to the national standardized 
amount discussed under section VI.B.1. of the preamble of this proposed 
rule.
    In addition, as discussed in section VI.B.2. of the preamble of 
this proposed rule, section 602 of Public Law 114-113 amended section 
1886(n)(6)(B) of the Act to specify that subsection (d) Puerto Rico 
hospitals are eligible for incentive payments for the meaningful use of 
certified EHR technology, effective beginning FY 2016. In addition, 
section 1886(n)(6)(B) of the Act was amended to specify that the 
adjustments to the applicable percentage increase under section 
1886(b)(3)(B)(ix) of the Act apply to subsection (d) Puerto Rico 
hospitals that are not meaningful EHR users, effective beginning FY 
2022.
    Section 1886(b)(3)(B)(ix) of the Act in conjunction with section 
602(d) of Public Law 114-113 requires that for FY 2024 and subsequent 
fiscal years, any subsection (d) Puerto Rico hospital that is not a 
meaningful EHR user as defined in section 1886(n)(3) of the Act and not 
subject to an exception under section 1886(b)(3)(B)(ix) of the Act will 
have a reduction of three-quarters of the applicable percentage 
increase (prior to the application of other statutory adjustments).
    Based on IGI's fourth quarter 2025 forecast of the 2023-based IPPS 
market basket update with historical data through third quarter 2025, 
in this FY 2027 IPPS/LTCH PPS proposed rule, in accordance with section 
1886(b)(3)(B) of the Act, as previously discussed, for Puerto Rico 
hospitals, we are proposing an IPPS market basket increase of 3.2 
percent and a productivity adjustment of 0.8 percentage point. 
Therefore, for FY 2027, depending on whether a Puerto Rico hospital is 
a meaningful EHR user, there are two possible applicable percentage 
increases that can be applied to the standardized amount. Based on 
these data, we are proposing the following applicable percentage 
increases to the standardized amount for FY 2027 for Puerto Rico 
hospitals:
     For a Puerto Rico hospital that is a meaningful EHR user, 
we are proposing an applicable percentage increase to the operating 
standardized amount of 2.4 percent (that is, the FY 2027 estimate of 
the proposed IPPS market basket rate-of-increase of 3.2 percent less an 
adjustment of 0.8 percentage point for the proposed productivity 
adjustment).
     For a Puerto Rico hospital that is not a meaningful EHR 
user, we are proposing an applicable percentage increase to the 
operating standardized amount of 0.0 percent (that is, the FY 2027 
estimate of the proposed market basket rate-of-increase of 3.2 percent, 
less an adjustment of 2.4 percentage point (the proposed IPPS market 
basket rate-of-increase of 3.2 percent x 0.75 for failure to be a 
meaningful EHR user), and less an adjustment of 0.8 percentage point 
for the proposed productivity adjustment).
    As noted previously, we are proposing that if more recent data 
subsequently become available, we would use such data, if appropriate, 
to determine the FY 2027 market basket percentage increase and the 
productivity adjustment for the FY 2027 IPPS/LTCH PPS final rule.

D. Proposed Update for Hospitals Excluded From the IPPS for FY 2027

    Section 1886(b)(3)(B)(ii) of the Act is used for purposes of 
determining the percentage increase in the rate-of-increase limits for 
children's hospitals, cancer hospitals, and hospitals located outside 
the 50 States, the District of Columbia, and Puerto Rico (that is, 
short-term acute care hospitals located in the U.S. Virgin Islands, 
Guam, the Northern Mariana Islands, and America Samoa). Section 
1886(b)(3)(B)(ii) of the Act sets the rate-of-increase limits equal to 
the market basket percentage increase. In accordance with Sec.  
403.752(a) of the regulations, religious nonmedical health care 
institutions (RNHCIs) are paid under the provisions of Sec.  413.40, 
which also use section 1886(b)(3)(B)(ii) of the Act to update the 
percentage increase in the rate-of-increase limits.
    Currently, children's hospitals, PPS-excluded cancer hospitals, 
RNHCIs, and short-term acute care hospitals located in the U.S. Virgin 
Islands, Guam, the Northern Mariana Islands, and American Samoa are 
among the remaining types of hospitals still paid under the reasonable 
cost methodology, subject to the rate-of-increase limits. In addition, 
in accordance with Sec.  412.526(c)(3) of the regulations, extended 
neoplastic disease care hospitals (described in Sec.  412.22(i) of the 
regulations) also are subject to the rate-of-increase limits. As 
discussed in section VI. of the preamble of this proposed rule, we are 
proposing to use the percentage increase in the 2023-based IPPS 
operating market basket to update the target amounts for children's 
hospitals, PPS-excluded cancer hospitals, RNHCIs, short-term acute care 
hospitals located in the U.S. Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa, and extended neoplastic disease 
care hospitals for FY 2027 and subsequent fiscal years. Accordingly, 
for FY 2027, the rate-of-increase percentage to be applied to the 
target amount for these children's hospitals, cancer hospitals, RNHCIs, 
extended neoplastic disease care hospitals, and short-term acute care 
hospitals located in the U.S. Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa is the FY 2027 percentage increase 
in the 2023-based IPPS operating market basket. For this proposed rule, 
the current estimate of the IPPS operating market basket percentage 
increase for FY 2027 is 3.2 percent. We are proposing that if more 
recent data subsequently become available, we would use such data, if 
appropriate, to determine the FY 2027

[[Page 19887]]

IPPS operating market basket rate-of-increase for the FY 2027 IPPS/LTCH 
PPS final rule.

E. Proposed Update for LTCHs for FY 2027

    Section 123 of Public Law 106-113, as amended by section 307(b) of 
Public Law 106-554 (and codified at section 1886(m)(1) of the Act), 
provides the statutory authority for updating payment rates under the 
LTCH PPS.
    As discussed in section V.A. of the Addendum to this proposed rule, 
we are proposing to update the LTCH PPS standard Federal payment rate 
for FY 2027 by 2.4 percent, consistent with section 1886(m)(3) of the 
Act which provides that any annual update be reduced by the 
productivity adjustment described in section 1886(b)(3)(B)(xi)(II) of 
the Act (that is, the productivity adjustment). Furthermore, in 
accordance with the LTCH QRP under section 1886(m)(5) of the Act, we 
are proposing to reduce the annual update to the LTCH PPS standard 
Federal rate by 2.0 percentage points for failure of a LTCH to submit 
the required quality data. Accordingly, we are proposing to establish 
an update factor of 1.024 in determining the LTCH PPS standard Federal 
rate for FY 2027. For LTCHs that fail to submit quality data for FY 
2027, we are proposing to establish an annual update to the LTCH PPS 
standard Federal rate of 0.4 percent (that is, the proposed annual 
update for FY 2027 of 2.4 percent less 2.0 percentage points for 
failure to submit the required quality data in accordance with section 
1886(m)(5)(C) of the Act and our rules) by applying a proposed update 
factor of 1.004 in determining the LTCH PPS standard Federal rate for 
FY 2027. (We note that, as discussed in section IX.C. of the preamble 
of this proposed rule, the update to the LTCH PPS standard Federal 
payment rate of 2.4 percent for FY 2027 does not reflect any budget 
neutrality factors.)

III. Secretary's Recommendations

    MedPAC is recommending inpatient hospital rates be updated by the 
amount specified in current law. MedPAC's rationale for this update 
recommendation is described in more detail in this section. As 
previously stated, section 1886(e)(4)(A) of the Act requires that the 
Secretary, taking into consideration the recommendations of MedPAC, 
recommend update factors for inpatient hospital services for each 
fiscal year that take into account the amounts necessary for the 
efficient and effective delivery of medically appropriate and necessary 
care of high quality. Consistent with current law, depending on whether 
a hospital submits quality data and is a meaningful EHR user, we are 
recommending the four applicable percentage increases to the 
standardized amount listed in the table under section II. of this 
Appendix. We are recommending that the same applicable percentage 
increases apply to SCHs and MDHs.
    In addition to making a recommendation for IPPS hospitals, in 
accordance with section 1886(e)(4)(A) of the Act, we are recommending 
update factors for certain other types of hospitals excluded from the 
IPPS. Consistent with our policies for these facilities, we are 
recommending an update to the target amounts for children's hospitals, 
cancer hospitals, RNHCIs, short-term acute care hospitals located in 
the U.S. Virgin Islands, Guam, the Northern Mariana Islands, and 
American Samoa and extended neoplastic disease care hospitals of 3.2 
percent.
    For FY 2027, consistent with policy set forth in section IX.C. of 
the preamble of this proposed rule, for LTCHs that submit quality data, 
we are recommending an update of 2.4 percent to the LTCH PPS standard 
Federal rate. For LTCHs that fail to submit quality data for FY 2027, 
we are recommending an annual update to the LTCH PPS standard Federal 
rate of 0.4 percent.

IV. MedPAC Recommendation for Assessing Payment Adequacy and Updating 
Payments in Traditional Medicare

    In its March 2026 Report to Congress, MedPAC assessed the adequacy 
of current payments and costs, and the relationship between payments 
and an appropriate cost base. MedPAC recommended an update to the 
hospital inpatient rates by the amount specified in current law. MedPAC 
anticipates that their recommendation to update the IPPS payment rate 
by the amount specified under current law in FY 2027 would generally be 
adequate to maintain beneficiaries' access to hospital inpatient and 
outpatient care and keep IPPS payment rates close to, if somewhat 
below, the cost of delivering high-quality care efficiently.
    MedPAC recommends redistributing the current Medicare safety-net 
payments (disproportionate share hospital and uncompensated care 
payments) using the MedPAC-developed Medicare Safety-Net Index (MSNI) 
for hospitals. In addition, MedPAC recommends adding $1 billion to this 
MSNI pool of funds to help maintain the financial viability of Medicare 
safety-net hospitals and recommended to Congress transitional 
approaches for a MSNI policy.
    We refer readers to the March 2026 MedPAC report, which is 
available for download at https://www.medpac.gov/document-type/report/. 
We look forward to working with Congress on these matters.
    We are proposing an applicable percentage increase for FY 2027 of 
2.4 percent as described in section 1886(b)(3)(B) of the Act, provided 
the hospital submits quality data and is a meaningful EHR user 
consistent with these statutory requirements. We note that, because the 
operating and capital payments in the IPPS remain separate, we are 
continuing to use separate updates for operating and capital payments 
in the IPPS. The update to the capital rate is discussed in section 
III. of the Addendum to this proposed rule.
    We note that section 1886(d)(5)(F) of the Act provides for 
additional Medicare payment adjustments, called Medicare 
disproportionate share hospital (DSH) payments, for subsection (d) 
hospitals that serve a significantly disproportionate number of low-
income patients. Section 1886(r) of the Act provides that, for FY 2014 
and each subsequent fiscal year, the Secretary shall pay each such 
subsection (d) hospital that is eligible for Medicare DSH payments an 
empirically justified DSH payment equal to 25 percent of the Medicare 
DSH adjustment they would have received under section 1886(d)(5)(F) of 
the Act if subsection (r) did not apply. The remaining amount, equal to 
an estimate of 75 percent of what otherwise would have been paid as 
Medicare DSH payments if subsection (r) of the Act did not apply, 
reduced to reflect changes in the percentage of individuals who are 
uninsured, is available to make additional payments to each hospital 
that qualifies for Medicare DSH payments and has uncompensated care. 
These additional payments are called uncompensated care payments. We 
refer readers to section V. of the preamble of this proposed rule for 
further discussion of Medicare DSH and uncompensated care payments.

[FR Doc. 2026-07203 Filed 4-10-26; 4:15 pm]
 BILLING CODE 4120-01-P