Keeping humans in the AI/ML loop at CMS

CMS is deploying AI and machine learning to detect potential fraud in Medicare and Medicaid programs, automating initial flagging of suspicious claims and billing patterns. COO Kimberly Brandt emphasizes human oversight remains critical, requiring clinicians and forensic accountants to validate AI-generated fraud alerts before enforcement actions are pursued. The hybrid approach balances AI’s speed in processing vast datasets with human expertise to minimize false positives and ensure compliance with legal and medical standards. This strategy reflects broader healthcare trends where AI augments—not replaces—human decision-making in high-stakes regulatory and financial operations. The initiative underscores CMS’s commitment to modernizing fraud detection while maintaining accountability through expert review, aligning technology with policy and operational integrity.