Optimizing Order Sets With a Large Language Model-Powered Multiagent System.

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Bibliographic Details
Title: Optimizing Order Sets With a Large Language Model-Powered Multiagent System.
Authors: Liu S; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Computer Science, Vanderbilt University, Nashville, Tennessee., Huang SS; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee., McCoy AB; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee., Wright AP; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee., Horst S; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee., Wright A; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Source: JAMA network open [JAMA Netw Open] 2025 Sep 02; Vol. 8 (9), pp. e2533277. Date of Electronic Publication: 2025 Sep 02.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2574-3805
DOI:10.1001/jamanetworkopen.2025.33277