Autonomous Medical Coding & RCM Automation

Your highest-paid coders spend most of their day on charts a machine could clear in seconds. That’s not a staffing problem. It’s a workflow problem.

Orthopaedic coding is uniquely brutal. Thousands of CPT and ICD-10 codes. Modifier rules that change yearly. Global periods, NCCI edits, payer-specific quirks.

So coders play it safe. They downcode to avoid denials. And the practice eats the difference on every chart.

Autonomous coding flips that. The AI reads the note, recommends codes and modifiers, and builds the clinical justification, before a human coder ever opens the chart.

The coder stops being a data-entry clerk and becomes a reviewer. Throughput goes up. Downcoding goes down. AR days shrink.

This is the part most people miss: it’s not about replacing your coding team. It’s about pointing them at the 10% of charts that actually need human judgment, instead of all 100%.

Groups like OrthoIndy and OrthoIllinois aren’t waiting for the technology to mature. It already has.

The question for every orthopaedic CFO right now isn’t “is AI coding ready?”

It’s “how much revenue am I losing every month I wait?”

What’s keeping your practice from making the move, trust, integration, or just time?

See how Maia’s AutoCoder handles this automatically for orthopaedic practices. Book a demo today