Explainable AI (XAI) refers to artificial intelligence systems designed to provide transparent, human-interpretable reasoning behind their decisions, not just an output but a clear account of how that output was reached. In healthcare coding, explainability is critical for compliance and audit defense. Coders, compliance officers, and payers need to understand exactly why a specific code was assigned to a given encounter. Nym’s autonomous medical coding engine is built with full explainability at its core, generating comprehensive audit-ready documentation for every coded encounter, including supporting clinical findings, referenced coding guidelines, and clear reasoning for each code assignment.
