In Dec. 2025, CMS hosted what it referred to as the Crushing Fraud Chili Cook-Off Competition in which participants competed in presenting innovative, AI-driven solutions for detecting fraud, waste, and abuse (FWA) in Medicare claims. The competition was a market-based research challenge aimed at using machine learning to identify anomalies in Medicare claims data, with Milliman, Inc. winning for its AI model that flags high-risk behavioral and financial patterns.
