Exploring the Use of a Large Language Model in Simulation Debriefing: An Observational Simulation-Based Pilot Study
This study highlights LLM integration in aiding debriefing by organizing complex information. Though facilitators reported a considerable task load, findings suggest that LLM can enhance simulation-based debrief quality, while there remains a continuous need for human oversight.
Authors
- Marc A Auerbach (ORCID: https://orcid.org/0000-0002-3796-4300)
- Lindsay Johnston (ORCID: https://orcid.org/0000-0003-0428-0479)
- Travis Whitfill (ORCID: https://orcid.org/0000-0002-3277-4380)
- Sophia Athanasopoulou (ORCID: https://orcid.org/0000-0003-0209-4752)
- Isabel T. Gross (ORCID: https://orcid.org/0000-0003-4410-6758)
- Marianne J. Rosati
- Annika Rosén (ORCID: https://orcid.org/0000-0003-0546-9089)
- Eury Hong
- Traci A Wolbrink
- Sundes Kazmir
- Benjamin Dylik
- Russell Himmelstein
Institutions
- Yale University (US)
Publication Details
- Journal
- Simulation in Healthcare The Journal of the Society for Simulation in Healthcare
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1097/sih.0000000000000861
- Citations
- 3
- Primary Topic
- Simulation-Based Education in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 3.49