<?xml version="1.0" encoding="UTF-8"?><BillSummaries>
<item congress="114" measure-type="hr" measure-number="4180" measure-id="id114hr4180" originChamber="HOUSE" orig-publish-date="2015-12-03" update-date="2016-03-21">
<title>Fraud Reduction and Data Analytics Act of 2015</title>
<summary summary-id="id114hr4180v79" currentChamber="HOUSE" update-date="2016-03-21">
<action-date>2016-02-09</action-date>
<action-desc>Reported to House without amendment</action-desc>
<summary-text><![CDATA[<p>(This measure has not been amended since it was introduced. The summary has been expanded because action occurred on the measure.)</p> <p><strong>Fraud Reduction and Data Analytics Act of 2015</strong></p> <p>(Sec. 3) This bill requires the Office of Management and Budget (OMB) to establish guidelines for federal agencies to establish financial and administrative controls to identify and assess fraud risks and design and implement control activities in order to prevent, detect, and respond to fraud, including improper payments.</p> <p>The guidelines shall incorporate the leading practices identified in the report published by the Government Accountability Office on July 28, 2015, entitled &quot;Framework for Managing Fraud Risks in Federal Programs.&quot; </p> <p>The financial and administrative controls shall include:</p> <ul> <li> conducting an evaluation of fraud risks and using a risk-based approach to design and implement financial and administrative control activities to mitigate identified fraud risks; </li> <li> collecting and analyzing data from reporting mechanisms on detected fraud to monitor fraud trends and using that data and information to continuously improve fraud prevention controls; and </li> <li> using the results of monitoring, evaluation, audits, and investigations to improve fraud prevention, detection, and response.</li> </ul> <p>Each agency shall submit as part of its annual financial report a report on its progress in:</p> <ul> <li> implementing such financial and administrative controls, the fraud risk principle in the Standards for Internal Control in the Federal Government, and OMB Circular A-123 leading practices for managing fraud risk; </li> <li> identifying risks and vulnerabilities to fraud; and </li> <li> establishing steps to curb fraud.</li> </ul> <p>(Sec. 4) The OMB must establish a working group to: (1) improve the sharing of financial and administrative controls and other best practices and techniques for detecting, preventing, and responding to fraud and the sharing and development of data analytics techniques; and (2) submit a plan for a federal interagency library of data analytics and data sets for use by agencies and Offices of Inspectors General to facilitate the detection, prevention, and recovery of fraud.</p>]]></summary-text>
</summary>
<summary summary-id="id114hr4180v00" currentChamber="HOUSE" update-date="2015-12-21">
<action-date>2015-12-03</action-date>
<action-desc>Introduced in House</action-desc>
<summary-text><![CDATA[<p><strong>Fraud Reduction and Data Analytics Act of 2015</strong></p> <p>This bill requires the Office of Management and Budget (OMB) to establish guidelines for federal agencies to establish financial and administrative controls to identify and assess fraud risks and design and implement control activities in order to prevent, detect, and respond to fraud, including improper payments.</p> <p>The guidelines shall incorporate the leading practices identified in the report published by the Government Accountability Office on July 28, 2015, entitled &quot;Framework for Managing Fraud Risks in Federal Programs.&quot; </p> <p>The financial and administrative controls shall include:</p> <ul> <li> conducting an evaluation of fraud risks and using a risk-based approach to design and implement financial and administrative control activities to mitigate identified fraud risks; </li> <li> collecting and analyzing data from reporting mechanisms on detected fraud to monitor fraud trends and using that data and information to continuously improve fraud prevention controls; and </li> <li> using the results of monitoring, evaluation, audits, and investigations to improve fraud prevention, detection, and response.</li> </ul> <p>Each agency shall submit as part of its annual financial report a report on its progress in:</p> <ul> <li> implementing such financial and administrative controls, the fraud risk principle in the Standards for Internal Control in the Federal Government, and OMB Circular A-123 leading practices for managing fraud risk; </li> <li> identifying risks and vulnerabilities to fraud; and </li> <li> establishing steps to curb fraud.</li> </ul> <p>The OMB must establish a working group to: (1) improve the sharing of financial and administrative controls and other best practices and techniques for detecting, preventing, and responding to fraud and the sharing and development of data analytics techniques; and (2) submit a plan for a federal interagency library of data analytics and data sets for use by agencies and Offices of Inspectors General to facilitate the detection, prevention, and recovery of fraud.</p>]]></summary-text>
</summary>
</item>
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<dc:language>EN</dc:language>
<dc:rights>Pursuant to Title 17 Section 105 of the United States Code, this file is not subject to copyright protection and is in the public domain.</dc:rights>
<dc:contributor>Congressional Research Service, Library of Congress</dc:contributor>
<dc:description>This file contains bill summaries for federal legislation. A bill summary describes the most significant provisions of a piece of legislation and details the effects the legislative text may have on current law and federal programs. Bill summaries are authored by the Congressional Research Service (CRS) of the Library of Congress. As stated in Public Law 91-510 (2 USC 166 (d)(6)), one of the duties of CRS is "to prepare summaries and digests of bills and resolutions of a public general nature introduced in the Senate or House of Representatives". For more information, refer to the User Guide that accompanies this file.</dc:description>
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</BillSummaries>
