Transcript-based DASH scoring with personalized large language models: a mixed-methods concordance study and measurement considerations
Andrés Ferre, Dante Gil, Andrés Giglio, Javiera García et autres
Abstract Background Debriefing is central to healthcare simulation, yet quality assessment relies on expert raters and substantial faculty time. Large language models (LLMs) may support transcript-based quality review using validated instruments such as the Debriefing Assessment for Simulation in Healthcare (DASH). Still, …
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Advances in Simulation