Evaluating Large Language Model's accuracy in current procedural terminology coding given operative note templates across various plastic surgery sub-specialties.
Journal:
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Published Date:
Apr 23, 2025
Abstract
BACKGROUND: Manual CPT coding from operative notes is a time-intensive process that adds to the administrative burden in healthcare. Large Language Models (LLMs) offer a promising solution, but their accuracy in assigning CPT codes based on full operative note templates remains largely untested. Thus, this study evaluates the ability of three LLMs - GPT-4, Gemini, and Copilot - to generate accurate CPT codes from operative note templates across diverse plastic surgery procedures.
