Computer-assisted coding, or CAC, uses software to identify potential medical codes from clinical documentation. AI-enabled CAC may use rules, NLP, machine learning, or large language model workflows to support coding teams.
Buyers should evaluate specialty coverage, confidence signals, coder review, audit trails, denial feedback, and whether the tool changes submitted codes automatically.
Application scenario: In workflow review, this term helps teams map a vendor claim to the care setting, data flow, integration point, user handoff, and oversight step where it applies. Procurement impact: Buyers should evaluate evidence, interoperability effort, security and privacy controls, pricing assumptions, support, and compliance responsibilities before shortlisting or contracting for a tool that depends on this capability.