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Title
Making shiny objects illuminating: the promise and challenges of large language models in U.S. health systems
Author
Zhang, Rui 1 ; Zou, James 2 ; Beecy, Ashley N. 3 ; Zhang, Yiye 4 ; Bian, Jiang 5 ; Melton, Genevieve B. 1 ; Tao, Cui 6 

 University of Minnesota, Department of Surgery and Center for Learning Health System Sciences, Minneapolis, USA (GRID:grid.17635.36) (ISNI:0000 0004 1936 8657); University of Minnesota, Institute for Health Informatics, Minneapolis, USA (GRID:grid.17635.36) (ISNI:0000 0004 1936 8657) 
 Stanford University, Department of Biomedical Data Science, Stanford, USA (GRID:grid.168010.e) (ISNI:0000 0004 1936 8956) 
 Weill Cornell Medicine, Department of Medicine, Division of Cardiology, New York, USA (GRID:grid.471410.7) (ISNI:0000 0001 2179 7643); Information Technology, NewYork-Presbyterian Hospital, New York, USA (GRID:grid.413734.6) (ISNI:0000 0000 8499 1112) 
 Information Technology, NewYork-Presbyterian Hospital, New York, USA (GRID:grid.413734.6) (ISNI:0000 0000 8499 1112); Weill Cornell Medicine New York, Department of Population Health Sciences, New York, USA (GRID:grid.5386.8) (ISNI:000000041936877X) 
 Indiana University, Biostatistics and Health Data Science, School of Medicine, Indianapolis, USA (GRID:grid.257413.6) (ISNI:0000 0001 2287 3919); Regenstrief Institute, Indianapolis, USA (GRID:grid.448342.d) (ISNI:0000 0001 2287 2027) 
 Mayo Clinic, Department of Artificial Intelligence and Informatics, Jacksonville, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X) 
Pages
8
Publication year
2025
Publication date
Dec 2025
Publisher
Nature Publishing Group
e-ISSN
30051959
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3225848056
Copyright
Copyright Nature Publishing Group Dec 2025