Reports
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Pension Benefit Guaranty Corporation OIG
White Paper: Searching Plan Records for Deceased Participants
Pandemic Response Accountability Committee
FRAUD ALERT FOLLOW-UP: Improved Sharing of Death Records and Use of the Do Not Pay System Would Strengthen Program Integrity and Better Protect the Public
This update expands on our January 2023 Fraud Alert that identified 69,000 questionable Social Security Numbers (SSNs) used to obtain $5.4 billion in potentially fraudulent loans made in the COVID-19 Economic Injury Disaster Loan (EIDL) program and Paycheck Protection Program (PPP). As detailed in that Fraud Alert, PRAC data scientists, using our Pandemic Analytics Center of Excellence, identified the questionable SSNs after determining that the names, SSNs, and/or dates of birth used in connection with COVID-19 EIDL/PPP applications did not match Social Security Administration’s (SSAs)...
Department of the Interior OIG
The Bureau of Indian Affairs Great Plains Region Did Not Oversee CARES Act Funds Appropriately
We determined that the BIA Great Plains Region did not hold three Tribes accountable for submitting CARES Act financial reports or narrative reports.
Pandemic Response Accountability Committee
FRAUD ALERT: PRAC Identifies $5.4 Billion in Potentially Fraudulent Pandemic Loans Obtained Using Over 69,000 Questionable Social Security Numbers
The PRAC’s Pandemic Analytics Center of Excellence (PACE) data scientists identified $5.4 Billion in potential identity fraud associated with over 69,000 questionable Social Security Numbers (SSNs) used on applications across disbursed loans in the Small Business Administration’s COVID-19 Economic Injury Disaster Loan Program and Paycheck Protection Program. Through collaborative verification methods with the Social Security Administration, we identified that these SSNs were used in connection with over 99,000 applications and warrant further scrutiny. The results of this Fraud Alert...
Department of the Interior OIG
The Omaha Tribe Did Not Account for CARES Act Funds Appropriately
We determined that the Omaha Tribe did not follow applicable requirements in an agreement with the BIA.
Pandemic Response Accountability Committee
Insights on Telehealth Use and Program Integrity Risks Across Selected Health Care Programs During the Pandemic
Recognizing how critical telehealth has been to the federal COVID-19 response, the PRAC Health Care Subgroup—which includes six Federal Offices of Inspectors General—worked together to provide insights on the use of telehealth and its associated program integrity risks.
Department of the Interior OIG
The Bureaus of Indian Affairs and Indian Education Have the Opportunity To Implement Additional Controls To Prevent or Detect Multi-dipping of Pandemic Response Funds
We recommended the BIA and the BIE implement controls designed to prevent or detect instances of multi-dipping of pandemic response funds.
Department of the Interior OIG
The Three Affiliated Tribes Did Not Account for CARES Act Funds Appropriately
We determined that the Three Affiliated Tribes did not follow applicable requirements in an agreement with the BIA.
Department of the Interior OIG
The Lower Brule Sioux Tribe Did Not Account for CARES Act Funds Appropriately
We determined that the Lower Brule Sioux Tribe did not follow applicable requirements in its agreements with the BIA.
Pandemic Response Accountability Committee
Key Insights: Identity Fraud Reduction and Redress in Pandemic Response Programs
This Insights Report highlights identity fraud related challenges in federal programs during the COVID-19 pandemic. By evaluating previous oversight work in this space from members of the PRAC’s Identity Fraud Reduction and Redress Working Group, this report presents best practices to reduce identity fraud before it occurs and to assist victims of identity fraud if it does occur. These best practices may be helpful for federal agencies to utilize moving forward. This report also identifies that across the federal government there is a larger focus on reducing identity fraud up front, while...