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

Generative Language Models Including ChatGPT (479) Clinical Informatics (1154) Electronic Health Records (1174) Natural Language Processing (795) Digital Health, Telehealth and e-Innovation in Clinical Settings (472) Clinical Information and Decision Making (1636) Development and Evaluation of Research Methods, Instruments and Tools (631) Secondary Use of Clinical Data for Research and Surveillance (413) Machine Learning (1720) Decision Support for Health Professionals (1334) Artificial Intelligence (1705)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58329, first published .
Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study

Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study

Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study

Authors of this article:

Junhyuk Seo1, 2 Author Orcid Image ;   Dasol Choi1 Author Orcid Image ;   Taerim Kim1, 3 Author Orcid Image ;   Won Chul Cha1, 3 Author Orcid Image ;   Minha Kim3 Author Orcid Image ;   Haanju Yoo4 Author Orcid Image ;   Namkee Oh5 Author Orcid Image ;   YongJin Yi6 Author Orcid Image ;   Kye Hwa Lee7 Author Orcid Image ;   Edward Choi8 Author Orcid Image
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Journals

  1. Li J, Li Z, Jian F. Letter to the Editor of the Journal of Medical Systems: Regarding “Evaluation of the Performance of Three Large Language Models in Clinical Decision Support: A Comparative Study Based on Actual Cases”. Journal of Medical Systems 2025;49(1) View