The Potential of Using Generative AI/NLP to Identify and Analyse Critical Incidents in a Critical Incident Reporting System (CIRS): A Feasibility Case–Control Study
This feasibility study demonstrates the potential of generative AI/NLP in analysing and categorising cases from the CIRS. This could have implications for improving incident reporting in healthcare. Therefore, additional research is required to verify and expand upon these discoveries.
Authors
- Patrick Meybohm (ORCID: https://orcid.org/0000-0002-2666-8696)
- Oliver Happel (ORCID: https://orcid.org/0000-0001-7320-8521)
- Stephan Huber (ORCID: https://orcid.org/0000-0002-5619-3222)
- Nathalie Papenfuß (ORCID: https://orcid.org/0009-0009-1329-4398)
- Carlos Ramon Hölzing (ORCID: https://orcid.org/0000-0002-3732-6544)
- Sebastian Rumpf (ORCID: https://orcid.org/0009-0009-9704-220X)
Institutions
- University of Würzburg (DE)
- Universitätsklinikum Würzburg (DE)
Publication Details
- Journal
- Healthcare
- Published
- 2024-10-02
- DOI
- https://doi.org/10.3390/healthcare12191964
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.60