AI Coder for RCM

Nanonets Health AI Coder automates charge capture and coding from completed clinical documentation, converting documented care into accurate, validated, billing-ready charges. The demo shows how clinical notes are translated into CPTs, modifiers, and diagnoses using facility-specific rules, with every coding decision clearly explained and validated before moving downstream. What this solves: - Eliminates manual charge capture and code selection - Reduces coding variability across providers and facilities - Ensures coding decisions are defensible and audit-ready - Prevents missed or incorrect charges caused by documentation gaps - Accelerates claims readiness without adding coding headcount This is core RCM automation built for real coding workflows, where accuracy, consistency, and revenue integrity matter.