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

Artificial Intelligence (4894) Clinical Informatics (2336) Physician and Health Services Rating by Consumers (208) Ontologies, Classifications, and Coding (457) Machine Learning (3272) Generative Language Models Including ChatGPT (1577) AI Language Models in Health Care (776)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74231, first published .
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Classifying Patient Complaints Using Artificial Intelligence–Powered Large Language Models: Cross-Sectional Study

Classifying Patient Complaints Using Artificial Intelligence–Powered Large Language Models: Cross-Sectional Study

Authors of this article:

Sky Wei Chee Koh1, 2 Author Orcid Image ;   Eunice Rui Ning Wong2, 3 Author Orcid Image ;   John Chong Min Tan4 Author Orcid Image ;   Stephanie C C van der Lubbe1 Author Orcid Image ;   Jun Cong Goh2 Author Orcid Image ;   Ethan Sheng Yong Ching1 Author Orcid Image ;   Ian Wen Yih Chia1 Author Orcid Image ;   Si Hui Low2 Author Orcid Image ;   Ping Young Ang2 Author Orcid Image ;   Queenie Quek2 Author Orcid Image ;   Mehul Motani4, 5 Author Orcid Image ;   Jose M Valderas1, 2, 3, 6 Author Orcid Image
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  3. Sulaiman M, Muda N. Automated triaging of hospital complaints using Large Language Model-Assisted Content Analysis and machine learning. Engineering Applications of Artificial Intelligence 2026;178:114942 View
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  6. Law T, Ting C, Ng H, Goh H. Enhancing complaint locations prediction with image-space embedding representations and customized large language models. Scientific Reports 2026;16(1) View

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