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

Chatbots and Conversational Agents (540) Natural Language Processing (700) Artificial Intelligence (1404) Generative Language Models Including ChatGPT (318) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (585) Methods and Instruments in Medical Informatics (131)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57721, first published .
Comparison of the Quality of Discharge Letters Written by Large Language Models and Junior Clinicians: Single-Blinded Study

Comparison of the Quality of Discharge Letters Written by Large Language Models and Junior Clinicians: Single-Blinded Study

Comparison of the Quality of Discharge Letters Written by Large Language Models and Junior Clinicians: Single-Blinded Study

Authors of this article:

Joshua Yi Min Tung1, 2 Author Orcid Image ;   Sunil Ravinder Gill1 Author Orcid Image ;   Gerald Gui Ren Sng2, 3 Author Orcid Image ;   Daniel Yan Zheng Lim2, 4 Author Orcid Image ;   Yuhe Ke2, 5 Author Orcid Image ;   Ting Fang Tan6 Author Orcid Image ;   Liyuan Jin7 Author Orcid Image ;   Kabilan Elangovan8 Author Orcid Image ;   Jasmine Chiat Ling Ong9 Author Orcid Image ;   Hairil Rizal Abdullah2, 5 Author Orcid Image ;   Daniel Shu Wei Ting6, 7, 8 Author Orcid Image ;   Tsung Wen Chong1 Author Orcid Image
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Journals

  1. Schwieger A, Angst K, de Bardeci M, Burrer A, Cathomas F, Ferrea S, Grätz F, Knorr M, Kronenberg G, Spiller T, Troi D, Seifritz E, Weber S, Olbrich S. Large language models can support generation of standardized discharge summaries – A retrospective study utilizing ChatGPT-4 and electronic health records. International Journal of Medical Informatics 2024;192:105654 View

Books/Policy Documents

  1. Paraschiv E, Elena Cîrnu C, Victor Vevera A. Electronic Health Records - Issues and Challenges in Healthcare Systems [Working Title]. View