In an indictment announced on October 26, 2023 in Miami, the U.S. Department of Justice, Criminal Division’s Fraud Section, working with the FBI and HHS-OIG, brought what may be only the second federal criminal charges directly related to the Medicare Advantage (Medicare Part C) risk adjustment payment methodology. DOJ enforcement in the Medicare Advantage risk adjustment space overwhelmingly has proceeded civilly under the False Claims Act. Although the allegations suggest conduct far more troubling than prior civil cases under risk adjustment, these criminal charges ...
On February 1, 2023, the Centers for Medicare & Medicaid Services (CMS) published a final rule outlining its audit methodology and related policies for its Medicare Advantage (MA) Risk Adjustment Data Validation (RADV) program. The final rule codifies long-awaited regulations first proposed by CMS in 2018.
The application of artificial intelligence technologies to health care delivery, coding and population management may profoundly alter the manner in which clinicians and others interact with patients, and seek reimbursement. While on one hand, AI may promote better treatment decisions and streamline onerous coding and claims submission, there are risks associated with unintended bias that may be lurking in the algorithms. AI is trained on data. To the extent that data encodes historical bias, that bias may cause unintended errors when applied to new patients. This can result in ...
Based on findings of the Payment Accuracy Report recently issued by the Department of Health and Human Services (DHHS), six Democratic United States Senators questioned the Centers of Medicare and Medicaid Services’ (CMS) oversight and enforcement of Medicare Advantage (MA) plans. In a letter dated September 13, 2019, the Senators highlighted their belief that MA plans have been overbilling the federal government for years, specifically in excess of $30 billion dollars over the last three years.
The Senators requested that CMS provide a response on how the Agency intends to ...
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