CMS Uses Predictive Modeling to Help Fight Medicare Fraud

On the heels of the White House launch of the Campaign to Cut Waste—an administration wide initiative to crack down on waste, fraud and abuse, the Centers for Medicare & Medicaid Services (CMS) announced that starting July 1, it will begin using innovative predictive modeling technology to fight Medicare fraud. Similar to technology used by credit card companies, predictive modeling helps identify potentially fraudulent Medicare claims on a nationwide basis, and help stop fraudulent claims before they are paid. This initiative builds on the new anti-fraud tools and resources provided by the Affordable Care Act that are helping move CMS beyond its former “pay & chase” recovery operations to an approach that focuses on preventing fraud and abuse before payment is made.

Original Medicare claims will be analyzed using innovative risk scoring technology that applies effective predictive models, an approach similar to that used by the private sector to successfully identify fraud. For the first time, CMS will have the ability to use real-time data to spot suspect claims and providers and take action to stop fraudulent payments before they are paid.

The London-based Northrop Grumman, a global provider of advanced information solutions, has been selected through a competitive procurement to develop CMS’ national predictive model technology format using best practices of both public and private stakeholders. Northrop Grumman has partnered with National Government Services (NGS) and Federal Network Systems, LLC, a Verizon company (FNS), to leverage the wealth of claims data and its information to fight health care fraud. CMS used industry guidance, innovative ideas from private and provider entities and related data in developing the scope of work for this national fraud prevention program. Given the importance of this contract to CMS’ overall anti-fraud efforts, this contract is being implemented nationally and ahead of schedule.