LLM use in escape room trauma simulations

This randomized controlled study investigates the impact of large language model (LLM) assistance—specifically ChatGPT—on decision-making, teamwork, and confidence in escape room based trauma simulations. Forty undergraduate medical students at Vaasa Central Hospital, University of Turku, were randomized into LLM-assisted or non-LLM teams. Participants completed 18 structured trauma scenarios involving airway obstruction, pneumothorax, orthopedic trauma, and hemorrhage control. Observed outcomes included decision-making speed and accuracy, teamwork quality, and changes in confidence. The study also assessed knowledge retention and participant experiences with AI.

Publication Details

Journal
Open Science Framework
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/7hf3v
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

LLM use in escape room trauma simulations

Open Science Framework
Artificial Intelligence in Healthcare and Education
article

LLM use in escape room trauma simulations

article en

Abstract

This randomized controlled study investigates the impact of large language model (LLM) assistance—specifically ChatGPT—on decision-making, teamwork, and confidence in escape room based trauma simulations. Forty undergraduate medical students at Vaasa Central Hospital, University of Turku, were randomized into LLM-assisted or non-LLM teams. Participants completed 18 structured trauma scenarios involving airway obstruction, pneumothorax, orthopedic trauma, and hemorrhage control. Observed outcomes included decision-making speed and accuracy, teamwork quality, and changes in confidence. The study also assessed knowledge retention and participant experiences with AI.

Open Science Framework
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Artificial Intelligence in Healthcare and Education
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LLM use in escape room trauma simulations · Open Science Framework (2025) | TGRS Research Map | TGRS