AI and inclusion in simulation education and leadership: a global cross-sectional evaluation of diversity

AI and inclusion in simulation education and leadership: a global cross-sectional evaluation of diversity

Abstract Background Simulation-based medical education (SBME) is a critical training tool in healthcare, shaping learners’ skills, professional identities, and inclusivity. Leadership demographics in SBME, including age, gender, race/ethnicity, and medical specialties, influence program design and l...

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Main Authors: Joana Berger-Estilita, Mia Gisselbaek, Arnout Devos, Albert Chan, Pier Luigi Ingrassia, Basak Ceyda Meco, Odmara L. Barreto Chang, Georges L. Savoldelli, Francisco Maio Matos, Peter Dieckmann, Doris Østergaard, Sarah Saxena
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Advances in Simulation
Subjects:
Simulation-based medical education
Artificial intelligence (AI)
Diversity and inclusion
Gender representation
Healthcare education
Bias
Online Access:https://doi.org/10.1186/s41077-025-00355-1
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https://doi.org/10.1186/s41077-025-00355-1

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