John Snow Labs 4d ago

HCC coding #ai requires more than extracting diagnosis mentions from clinical text. A valid coding recommendation must be supported by current documentation, MEAT evidence, ICD/HCC mapping logic, provenance, and human review. This session presents a technical architecture for audit-defensible clinical coding AI, covering OCR, evidence retrieval, MEAT validation, ICD/HCC mapping, reviewer workflows, deployment considerations, and evaluation metrics beyond F1, including substantiation precision, evidence faithfulness, and unsupported #hcc false-positive rate.