Large language models versus healthcare professionals in providing medical information to patient questions: A systematic review
The review summarizes current evidence on the accuracy and adequacy of medical information provided by LLMs in response to patient questions, compared to healthcare professionals and clinical guidelines. While LLMs show potential as supportive tools in healthcare, their integration should be approached cautiously due to inconsistent performance and possible risks. Further research is essential before widespread adoption.
Authors
- M. Jacobs (ORCID: https://orcid.org/0000-0003-0987-2553)
- Walter van der Weegen (ORCID: https://orcid.org/0000-0001-9389-0644)
- Rintje Agricola (ORCID: https://orcid.org/0000-0002-0645-093X)
- Jacobien H.F. Oosterhoff
Institutions
- University Medical Center Groningen (NL)
- Erasmus MC (NL)
- Amalia Kinderziekenhuis (NL)
- St. Anna Hospital (DE)
- St. Anna Ziekenhuis (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-12-31
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.106250
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00