Large-Scale Analysis of Autonomous Medical Coding: Insights from 10 Million Emergency Medicine Encounters
5/12/2025 • Fathom Health White Paper • License: Proprietary
Fathom Health (Fathom Health)
Abstract
This white paper from Fathom Health analyzes the performance of its autonomous coding platform on a massive dataset of 10 million emergency department visits. The results show the AI achieved 96.5% coding accuracy, a 12% improvement over a human-only baseline. Furthermore, the AI's NLP capabilities led to a 7% improvement in the capture of hierarchical condition categories (HCCs), resulting in more accurate risk adjustment factor (RAF) scores.
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Clinical implications
An AI medical coding company analyzed 10 million ER visits and found its technology was 12% more accurate than human coders. The AI was also better at identifying and documenting patient risk factors, which is critical for accurate reimbursement and understanding patient population health.
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