Evaluating real-world deployment of an HL7-CDA-aligned LLM for ICD-10-CM coding

Hong-Jie Dai, Zheng-Hao Li, An-Tai Lu, Min-I Su, Bo-Tsz Shain, Ming-Ta Li, Li-Li Wang, Kuang-Te Wang, Pei-Kang Liu, Vu Thinh Doan, Ming-Ju Tsai · 2026

Read Evaluating real-world deployment of an HL7-CDA-aligned LLM for ICD-10-CM coding by Hong-Jie Dai, Zheng-Hao Li, An-Tai Lu, Min-I Su, Bo-Tsz Shain, Ming-Ta Li, Li-Li Wang, Kuang-Te Wang, Pei-Kang Liu, Vu Thinh Doan, Ming-Ju Tsai (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13385930.txt.

Description

Reliable ICD-10-CM coding remains a major operational burden in hospitals, and the real-world performance of AI systems for this task is poorly understood. We developed and deployed a modular, clinically grounded pipeline that combines principled base-model selection, redundancy-aware training, and HL7-aligned section prompts to support scalable ICD-10-CM coding across heterogeneous documentation environments.

Catalog record

CREATORHong-Jie Dai, Zheng-Hao Li, An-Tai Lu, Min-I Su, Bo-Tsz Shain, Ming-Ta Li, Li-Li Wang, Kuang-Te Wang, Pei-Kang Liu, Vu Thinh Doan, Ming-Ju Tsai
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE71 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13385930

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