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This research proposes a methodology to create effective EHR simulations for decision making in clinicians, highlighting its value in patient safety exploration.
Electronic Health Record simulation is a research method that offers valuable data on clinician cognitive processes like problem solving, information foraging, and in particular, decision making. Despite this, established paths to develop optimal EHR simulation to explore these processes only exist for education. No guide to develop efficient EHR simulation for research exists. We propose a six-part methodology to efficiently develop EHR simulations used for research and patient safety inquiry. Our approach produces high-fidelity simulations for challenging clinical scenarios, ideal for data collection of this type. This reproducible template addresses a critical gap, enabling EHR simulation as a research method to be stood up in any institution.
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Fidel et al. (2025) studied this question.
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