Practices Turn to AI to Fight Rising Payer Denials

Medical practices are losing revenue to a growing wave of payer denials and downcoding, where insurers pay a claim at a lower level than what was billed. According to Healthcare Dive, the problem has pushed groups to rethink how they defend their reimbursement, because manual appeals are slow, costly, and often abandoned.

The emerging fix is AI. Tools now scan claims before submission to flag those likely to be denied or downcoded, then automate the documentation and appeal letters needed to push back. The pitch is straightforward: catch problems earlier, appeal more consistently, and recover money that practices would otherwise write off.

In practice, this shifts denial management from a reactive, understaffed chore to a systematic process. For providers running thin margins, the stakes are real. Every denied or downcoded claim that goes unchallenged is revenue left on the table, and payers are counting on practices not having the time or tools to fight back.