Procode trains its model specifically on complex surgical coding, where general-purpose AI struggles on multi-code operative reports.
Peer-reviewed research published in Plastic and Reconstructive Surgery Global Open found the platform roughly twice as accurate as professional human auditors and nearly three times as accurate as the best general-purpose AI on automated CPT coding.
Procode targets private practice surgeons and the medical billing companies that serve them, a long-tail segment historically underserved by the technology built for large health systems.
It is expanding across surgical specialties and ambulatory surgical center billing through both organic growth and acquisitions of small revenue cycle management companies.
Procode's lead offering is an AI Coding Copilot that automates procedural medical coding and charge capture for private practice surgical billers.
It integrates directly with electronic health record systems to pull operative records, assign procedural and diagnosis codes with cross-checks, and submit scrubbed charges for human review before filing across plastic surgery, dermatology, orthopedics, and other procedural specialties.
