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Updated: Apr 3, 2026

Movement Retraining using Real-time Feedback of Performance
Published on: January 17, 2013
Walter J Eppich1, Elizabeth A Hunt, Jordan M Duval-Arnould
1W.J. Eppich is associate professor of pediatrics and medical education, Northwestern University Feinberg School of Medicine, Chicago, Illinois. E.A. Hunt is associate professor of anesthesiology and critical care medicine and of health science informatics and pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland. J.M. Duval-Arnould is instructor of anesthesiology and critical care medicine and of health sciences informatics, Johns Hopkins University School of Medicine, Baltimore, Maryland. V.J. Siddall is simulation clinical educator and research assistant, Stritch School of Medicine, Loyola University, Maywood, Illinois. A. Cheng is associate professor of pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Mastery learning in healthcare simulation enhances skills through deliberate practice and feedback. This approach allows repeated attempts until mastery, improving learner outcomes and performance.
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