Generative AI in simulation debriefings: an exploratory study using the Team-FIRST framework and qualitative feedback from simulation experts and learners.

ABSTRACT:

Background

Effective debriefings in simulation-based education require accurate observation of team interactions, yet facilitators face challenges due to cognitive load, observer bias, and the complexity of team dynamics. Generative artificial intelligence (AI) tools offer a potential means to support this process by analyzing verbal communication and providing structured feedback. This study explored how AI tools can contribute to teamwork observation and debriefing in immersive medical simulations.

Methods

We conducted a qualitative, exploratory study using thematic analysis of simulation participants' and debriefers' experiences with AI-generated teamwork reports. Forty-one participants (anesthesia nurses, residents, and attendings) participated in immersive scenarios at

SUBMITTER: Tscholl DW 

PROVIDER: S-EPMC12924402 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature