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Technological Solutions to Improve Inpatient Handover in the Era of Artificial Intelligence: Scoping Review.

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第一作者： Louis,Agha-Mir-Salim

第一单位： Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

作者： Louis,Agha-Mir-Salim ^[1] ; Isabelle Rose,Alberto ^[2] ; Nicole Rose,Alberto ^[3] ; Leo Anthony,Celi ^[4] ; Pia Gabrielle,Alfonso ^[3] ; Rachel,Hicklen ^[5] ; Katelyn,Legaspi ^[3] ; Rajiv Hans,Menghrajani ^[6] ; Faye Yu,Ng ^[7] ; Patricia Therese,Pile ^[8] ; Christopher M,Sauer ^[9]

作者单位： Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany. ^[1] College of Medicine, University of the Philippines Manila, Manila, Philippines. ^[2] Department of Obstetrics and Gynecology, Philippine General Hospital, Manila, Philippines. ^[3] Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States. ^[4] Library, The University of Texas MD Anderson Cancer Center, Houston, TX, United States. ^[5] Department of Medicine, Lincoln Medical Center, New York, NY, United States. ^[6] Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. ^[7] Department of Medicine, UConn Health, Farmington, CT, United States. ^[8] Institute for AI in Medicine, Laboratory for Clinical Research and Real-World Evidence, Essen University Hospital, Hufelandstr. 55, Essen, 45147, Germany, +49 201 723 0.;Department of Hematology and Stem Cell Transplantation, Laboratory for Clinical Research and Real-World Evidence, Essen University Hospital, Essen, Germany. ^[9]

关键词 (I)SBAR AI I-PASS SBAR artificial intelligence clinical handover technological solution workflow improvement

医学主题词人类(Humans);人工智能(Artificial Intelligence);住院病人(Inpatients);工作流(Workflow)

DOI 10.2196/70358

PMID 40743446

发布时间 2025-08-06

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