Multimodal Assessment in Clinical Simulations: A Guide for Moving Towards Precision Education

Abstract

Technological advances and cutting-edge data analytics approaches give new prospects for using multimodal assessments in simulation-based medical education. These multimodal approaches consider the interaction of data obtained from multiple sources and can enhance our ability to assess the educational efficacy of simulations and optimize learning experiences for each individual learner. However, several challenges could jeopardize the successful implementation of this approach. We present a practical guide for integrating multimodal assessment in clinical simulation-based education, offering educators and researchers a systematic checklist to consider before undertaking these multimodal assessment initiatives.