Assessing artificial intelligence-generated patient discharge information for the emergency department: a pilot study
Our findings indicate that AI tools such as LLM could represent a new opportunity to quickly produce patient discharge information brochures. However, human review and editing are essential to ensure accurate and reliable information. A follow-up study with more topics and validation in the intended population is necessary to assess their performance.
Authors
- Evy Wille (ORCID: https://orcid.org/0009-0003-2453-4074)
- Ruben De Rouck (ORCID: https://orcid.org/0000-0002-2376-6864)
- Nick Vermeersch
- Allison Gilbert (ORCID: https://orcid.org/0000-0003-1492-7424)
Institutions
- University of Mons (BE)
- Vrije Universiteit Brussel (BE)
- Universitair Ziekenhuis Brussel (BE)
- Martha-Maria Hospital (DE)
- AZ Sint-Lucas (BE)
- Mathys (Netherlands) (NL)
Publication Details
- Journal
- International Journal of Emergency Medicine
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1186/s12245-025-00885-5
- Citations
- 6
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 13.52