The Report Writes Itself. The Revenue Follows.

The Root Cause Is in the Documentation

of surgical procedures contain undocumented or incorrectly coded elements

AHIMA; Khandekar et al., AUA 2025⁴

average cost per claim denial rework

AAHAM industry benchmarks

average accuracy of human written operative reports (the root cause)

Khanna et al., JACS 2025¹

The root cause is clear: operative reports are written from memory, at best, hours after surgery, using templates that miss procedure-specific detail. CDI teams query. Coders interpret. Denials pile up. Revenue leaks. 38% of hospital finance leaders report that over 10% of claims are denied due to inaccurate documentation. In a University of Miami study (AUA 2025)⁴, AI analysis of 2,909 surgical events across 180 procedures found 20.2% of events were missing from surgeon-written reports entirely — including notable hemorrhage, ligation of structures, and adhesiolysis.

In the first peer-reviewed head-to-head comparison, Mayo Clinic researchers found AI-generated operative reports achieved 87.3% accuracy vs. 72.8% for surgeon-written reports (p = 0.001, 158 cases, 8 surgeons). The study — published in the Journal of the American College of Surgeons¹ and covered by Reuters and USA Today — also found procedures documented in surgeon reports that were never actually performed on video. The accuracy, currently >95%, comes from a model trained on 600,000+ real-world surgical procedures, and the reports flow directly into Epic and Oracle Health where your coding team already works.