AI Claim Scrubbing Tools for Physician Practices and Clean Claim Rate Impact
Practices with clean claim rates in the 70s-80s are leaving thousands monthly on the table.
RCM Technology Editor
Marcus Delgado-Wren has covered healthcare IT and revenue cycle infrastructure since the early days of ICD-10 transition, drawing on a prior career as an implementation consultant for mid-market health systems. His reporting focuses on the vendor landscape and the operational realities of deploying new billing platforms.
7 stories
Practices with clean claim rates in the 70s-80s are leaving thousands monthly on the table.
AI models flag legitimate claims as fraud because they lack practice-specific context.
Most denied claims get overturned on appeal, if providers fight them.
Payers use conflicting deadlines that leave no room for appeals or fixes once they pass.
Standard NCCI edits mask a repeatable pattern that maps to predictable code pairs and payer rules.
Denial rates now depend on specialty, payer mix, and algorithmic behavior.
How two AI vendors control prior authorization denials across American healthcare.