Large language models can support generation of standardized discharge summaries – A retrospective study utilizing ChatGPT-4 and electronic health records
LLM-written DS show potential as templates for physicians to finalize, potentially saving time in the future.
Authors
- Arne Schwieger
- Katrin Angst
- Marius Knorr
- Stefano Ferrea (ORCID: https://orcid.org/0000-0002-9077-8793)
- Erich Seifritz (ORCID: https://orcid.org/0000-0002-7311-4426)
- Flurin Cathomas (ORCID: https://orcid.org/0000-0002-8274-1317)
- Golo Kronenberg (ORCID: https://orcid.org/0000-0002-5310-9849)
- Sebastian Olbrich (ORCID: https://orcid.org/0000-0001-5557-4878)
- Tobias R. Spiller (ORCID: https://orcid.org/0000-0002-0107-0743)
- Achim Burrer (ORCID: https://orcid.org/0000-0003-2012-5655)
- Mateo de Bardeci (ORCID: https://orcid.org/0000-0002-0540-1546)
- David Troi
- Franziska Grätz
- Samantha Weber
Institutions
- University of Zurich (CH)
- University Hospital of Zurich (CH)
- University Psychiatric Hospital (SI)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1016/j.ijmedinf.2024.105654
- Citations
- 30
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.61