Payer AI Is Driving Up the Hidden RCM Tax on Providers

Insurers are increasingly using artificial intelligence to review and deny claims at scale, and providers are footing the bill. Healthcare Dive describes the mounting cost as an "RCM Tax," the billions in revenue that health systems and practices lose each year to denials, underpayments, and the administrative labor required to appeal them.

The imbalance is the core problem. Payers can deploy algorithms that flag, downcode, or reject claims faster than human billing teams can respond, forcing providers into a reactive posture that drains margins already under pressure. Every denied claim that gets reworked adds staff hours and delays cash flow, and many are never appealed at all.

The recommended fix is to move upstream. Rather than fighting denials after the fact, providers are being pushed toward proactive clinical-financial workflows that verify coverage, documentation, and coding before a claim goes out. The broader message: if payers are automating, provider revenue cycle operations need comparable automation to compete.