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. 2025 Aug 7:329:1802-1803.
doi: 10.3233/SHTI251222.

Blind Testing Method to Validate the Efficiency of ICD-10-CM Artificial Intelligence Coding Modules

Chih-Yen Sun  1 , Zheng-Hao Li  2 , Ming-Ju Tsai  3 , Chung-Cheng Tsai  1 , Hong-Jie Dai  2
Affiliations

Blind Testing Method to Validate the Efficiency of ICD-10-CM Artificial Intelligence Coding Modules

Chih-Yen Sun et al. Stud Health Technol Inform. .

Abstract

This study compares coding time between Natural Language Processing (NLP) and Certified Coding Specialists (CCS) using three AI models (HAN, GPT-2, and BioMistral). Analyzing discharged patients from October to November 2024, the results indicate that GPT-2 reduced the average coding time per record by approximately 75 seconds compared to manual coding (P < 0.05).

Keywords: Artificial Intelligence; ICD-10-CM/PCS; Natural Language Processing.

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