This paper is in the following e-collection/theme issue:

Design, Usability, and Evaluation of Research Instruments, Scales, and Measures (97) Electronic Health Records (1367) Tools, Programs and Algorithms (403) Decision Support for Health Professionals (1617) Ontologies, Classifications, and Coding (344) Clinical Information and Decision Making (2043) Usability Evaluation Case Studies (276)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59961, first published .
Application of Clinical Department–Specific AI-Assisted Coding Using Taiwan Diagnosis-Related Groups: Retrospective Validation Study

Application of Clinical Department–Specific AI-Assisted Coding Using Taiwan Diagnosis-Related Groups: Retrospective Validation Study

Application of Clinical Department–Specific AI-Assisted Coding Using Taiwan Diagnosis-Related Groups: Retrospective Validation Study

Authors of this article:

An-Tai Lu1, 2 Author Orcid Image ;   Chong-Sin Liou3 Author Orcid Image ;   Chia-Hsin Lai3 Author Orcid Image ;   Bo-Tsz Shian3 Author Orcid Image ;   Ming-Ta Li2 Author Orcid Image ;   Chih-Yen Sun4 Author Orcid Image ;   Hao-Yun Kao1 Author Orcid Image ;   Hong-Jie Dai5, 6, 7, 8 Author Orcid Image ;   Ming-Ju Tsai2, 9, 10 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Conference Proceedings

  1. E E, S L, S K. 2025 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN). Mamba-GAT: A Hybrid Architecture for Efficient and Structure-Aware Medical Code Prediction View