An audit compares CAC accept rates with coder override rates to identify training gaps in a physician coding team. What is the most appropriate use of that analysis?
Select an answer to reveal the explanation.
Short Explanation
Override rates are a teaching map, not a scoreboard for fear. When coders correctly reject bad engine suggestions, that is quality—not sabotage. Dig into the patterns, train the gaps, and keep the good overrides.
Full Explanation
CAC analytics can reveal where engines systematically misfire and where staff need guideline refreshers. Appropriate use focuses education on concept families with frequent incorrect accepts or incorrect overrides. Punishing guideline-correct overrides incentivizes blind acceptance and compliance risk. Leadership should pair metrics with quality review of a sample of accepts and overrides.