Large language models can support generation of standardized discharge summaries - A retrospective study utilizing ChatGPT-4 and electronic health records.

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Title: Large language models can support generation of standardized discharge summaries - A retrospective study utilizing ChatGPT-4 and electronic health records.
Authors: Schwieger A; Centre for Depression, Anxiety Disorders and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland. Electronic address: arne.schwieger@uzh.ch., Angst K; Center for Acute Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., de Bardeci M; Centre for Depression, Anxiety Disorders and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland., Burrer A; Center for Acute Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., Cathomas F; Centre for Depression, Anxiety Disorders and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., Ferrea S; Centre for Depression, Anxiety Disorders and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., Grätz F; Center for Acute Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., Knorr M; Center for Acute Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., Kronenberg G; Centre for Depression, Anxiety Disorders and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., Spiller T; Center for Acute Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., Troi D; Center for Acute Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., Seifritz E; Centre for Depression, Anxiety Disorders and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Center for Acute Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., Weber S; Centre for Depression, Anxiety Disorders and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland., Olbrich S; Centre for Depression, Anxiety Disorders and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland.
Source: International journal of medical informatics [Int J Med Inform] 2024 Dec; Vol. 192, pp. 105654. Date of Electronic Publication: 2024 Oct 14.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-8243
DOI:10.1016/j.ijmedinf.2024.105654