How AI Is Being Used to Fight Fraud, Waste, and Abuse in Health Benefits
Elevance Health is highlighting AI as a tool for detecting fraud, waste, and abuse in healthcare spending. The use case is a reminder that some of AI’s biggest near-term value may be in payment integrity rather than bedside care.
Fraud, waste, and abuse have long been among healthcare’s most expensive and politically charged problems. AI is increasingly being pitched as a way to identify suspicious claims patterns, unusual utilization, and billing anomalies faster than traditional audits can.
The promise here is substantial, but so are the caveats. Detection tools are only as good as the data and rules that guide them, and aggressive models can produce false positives that burden legitimate providers or delay care. In payment integrity, the line between vigilance and overreach is thin.
Still, this is one of the more practical areas for AI adoption because it targets a system-level cost problem rather than an abstract innovation goal. If deployed well, these tools can help payers and providers reduce leakage, improve program stewardship, and redirect resources to actual care.
The story is notable because it shows where AI may gain traction fastest in healthcare: not by replacing clinicians, but by helping large organizations manage complexity at scale. That is less glamorous than diagnostic AI, but often more financially consequential.