Big data analysis tools used by Medicare spots fraud saving taxpayers $1.5 billion

 

The big data tools used by the Centers for Medicare and Medicaid Services, or CMS, to fight Medicare fraud have saved the taxpayer over $1.5 billion over the past five years, CMS officials say. These big data and predictive analytics tools are part of the Fraud Prevention System CMS began using five years ago to prevent fraud, waste and abuse in the Medicare fee-for-service program.

“The Fraud Prevention System’s ‘big data’ effort has had a profound impact on fraudulent providers and illegitimate payments by allowing us to quickly identify issues and take action,” said CMS officials Shantanu Agrawal, Raymond Wedgeworth and Kelly Bowman. Agrawal is deputy administrator and director of the Center for Program Integrity, Wedgeworth is director of the Data Analytics and Systems Group and Bowman is the Center for Program Integrity’s senior adviser.

The Fraud Prevention System was created in 2010 by the Small Business Jobs Act, and CMS has extensively used its tools, along with other new authorities made possible by the Affordable Care Act, to help protect Medicare Trust Funds and prevent fraudulent payments. For instance, last month Health & Human Services (HHS) and the Department of Justice announced the largest coordinated fraud takedown in history, resulting in charges against 243 individuals, including 46 doctors, nurses, and other licensed medical professionals, for their alleged participation in Medicare fraud schemes involving approximately $712 million in false billings. Over the last five years, the administration’s efforts have resulted in more than $25 billion returned to the Medicare Trust Fund.

The Fraud Prevention System helps to identify questionable billing patterns in real time and can review past patterns that may indicate fraud.  In one case, one of the system’s predictive models identified a questionable billing pattern at a provider for podiatry services that resulted in Medicare revoking the provider’s payments and referring the findings to law enforcement. The Fraud Prevention System also identified an ambulance provider for questionable trips allegedly made to a hospital. During the three years prior to the system alerting officials, the provider was paid more than $1.5 million for transporting more than 4,500 beneficiaries.  A review of medical records found significant instances of insufficient or lack of documentation. CMS also revoked the provider’s Medicare enrollment and referred the results to law enforcement.

“The third year results of the Fraud Prevention System demonstrate our commitment to high-yield prevention activities, and our progress in moving beyond the ‘pay and chase’ model,” said Dr. Shantanu Agrawal, CMS deputy administrator and director of the Center for Program Integrity. “We have learned a lot in the three years since the Fraud Prevention System began, and as we learn, we continue to become more sophisticated in detecting aberrant billing patterns and developing leads for investigations and action.”

In future years, CMS plans to expand the Fraud Prevention System and its algorithms to identify lower levels of non-compliant health care providers who would be better served by education or data transparency interventions.

The officials explained that the system was able to identify a home health agency in Florida that billed for services that were not provided, an ambulance company in Texas that submitted claims for non-covered services, and a medical clinic in Arizona with questionable billing practices.

“The Fraud Prevention System, or FPS, is innovative in that we have moved beyond the reactive ‘pay and chase’ approach toward a more effective, proactive strategy that aims to prevent these illegitimate payments in the first place,” they explained.

Jeffrey Newman represents whistleblowers of Medicare fraud.