Promoting Teamwork: An Event-based Approach to Simulation-based Teamwork Training for Emergency Medicine Residents
Article first published online: 14 JUL 2008
DOI: 10.1111/j.1553-2712.2008.00180.x
© 2008 by the Society for Academic Emergency Medicine
Issue

Academic Emergency Medicine
Special Issue: Proceedings of The 2008 AEM Consensus Conference: The Science of Simulation in Healthcare: Defining and Developing Clinical Expertise Guest Editors:Amy Kaji, MD, PhD David C. Cone, MD
Volume 15, Issue 11, pages 1190–1198, November 2008
Additional Information
How to Cite
Rosen, M. A., Salas, E., Wu, T. S., Silvestri, S., Lazzara, E. H., Lyons, R., Weaver, S. J. and King, H. B. (2008), Promoting Teamwork: An Event-based Approach to Simulation-based Teamwork Training for Emergency Medicine Residents. Academic Emergency Medicine, 15: 1190–1198. doi: 10.1111/j.1553-2712.2008.00180.x
Publication History
- Issue published online: 3 NOV 2008
- Article first published online: 14 JUL 2008
- Received March 3, 2008; revision received April 7, 2008; accepted April 27, 2008.
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Keywords:
- teamwork;
- simulation-based training;
- event-based measurement
Abstract
The growing complexity of patient care requires that emergency physicians (EPs) master not only knowledge and procedural skills, but also the ability to effectively communicate with patients and other care providers and to coordinate patient care activities. EPs must become good team players, and consequently an emergency medicine (EM) residency program must systematically train these skills. However, because teamwork-related competencies are relatively new considerations in health care, there is a gap in the methods available to accomplish this goal. This article outlines how teamwork training for residents can be accomplished by employing simulation-based training (SBT) techniques and contributes tools and strategies for designing structured learning experiences and measurement tools that are explicitly linked to targeted teamwork competencies and learning objectives. An event-based method is described and illustrative examples of scenario design and measurement tools are provided.

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