The IntegrityM Blog

Efficiently Evaluating “Big Data” for Medicare Fraud Detection

With over 2 billion Medicare claims available for analysis since 2006, the term “Big Data” has no better application than in the health care industry. The opportunity for meaningful analyses resulting from big data is limitless. However, finding the best method for combing through Medicare claims data in an efficient manner can be tricky since […]

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Improper Payments Elimination and Recovery Act: Identifying and Reducing Improper Payments

Each year, the Federal Government makes billions of dollars in improper payments. Improper payments can take the form of overpayments, payments to the wrong person, or payments for the wrong reason. Two examples of improper payments include the Federal Government paying $180 million to 20,000 dead individuals over a three-year period, as well as paying […]

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Network Adequacy: Meeting Requirements and the Impact of the ACA

The Affordable Care Act directed the Secretary of Health and Human Services to establish criteria for certification of qualified health plans, to include (1) ensuring a sufficient choice of providers and (2) providing information to enrollees and prospective enrollees on the availability of in-network and out-of-network providers.  45 CFR 156.230, entitled network adequacy standards, requires qualified […]

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Medicaid Health Homes Program Operation

Section 2703 of the Affordable Care Act created an optional Medicaid State Plan benefit – Health Homes – to coordinate care for individuals who have Medicaid and have: 2 or more chronic conditions; 1 chronic condition and are at risk for a second; or 1 serious and persistent mental health condition. Chronic conditions include substance […]

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Healthcare Secret Shopping: An Effective Tool for Detecting Fraud and Abuse

The Government Accountability Office (GAO) made headlines recently when sharing news that 11 of 12 fictitious applicants obtained coverage for health insurance through the Federal marketplace. GAO targeted the Federal marketplace with secret shopping – constructing fictitious applicants who should not have received health insurance. The secret shopping applicants provided invalid Social Security information or […]

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