Large Language Model Assistant for Emergency Department Discharge Documentation
In this comparative effectiveness study, use of an on-site LLM assistant was associated with reduced writing time for ED discharge notes compared with manual note-taking, without compromising documentation quality, representing a critical advancement in the use of artificial intelligence for clinical practice.
Authors
- Ji Woo Song (ORCID: https://orcid.org/0009-0004-1440-1400)
- Junseong Park (ORCID: https://orcid.org/0000-0003-0436-8614)
- Seng Chan You (ORCID: https://orcid.org/0000-0002-5052-6399)
- Ji Hoon Kim (ORCID: https://orcid.org/0000-0002-0070-9568)
Institutions
- Yonsei University (KR)
- Yonsei University Health System (KR)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1001/jamanetworkopen.2025.38427
- Citations
- 7
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 15.77