• Barry M Diner, Christopher R Carpenter, Tara O'Connell, Peter Pang, Michael D Brown, Rawle A Seupaul, James J Celentano, Dan Mayer, and KT-CC Theme IIIa Members.
• Emory University, Atlanta, GA, USA. bdiner@emory.edu
• Acad Emerg Med. 2007 Nov 1;14(11):1008-14.

AbstractThis article reflects the proceedings of a workshop session, Postgraduate Education and Knowledge Translation, at the 2007 Academic Emergency Medicine Consensus Conference on knowledge translation (KT) in emergency medicine (EM). The objective was to develop a research strategy that incorporates KT into EM graduate medical education (GME). To bridge the gap between the best evidence and optimal patient care, Pathman et al. suggested a multistage model for moving from evidence to action. Using this theoretical knowledge-to-action framework, the KT consensus conference group focused on four key components: acceptance, application, ability, and remembering to act on the existing evidence. The possibility that basic familiarity, along with the pipeline by Pathman et al., may improve KT uptake may be an initial starting point for research on GME and KT. Current residents are limited by faculty GME role models to demonstrate bedside KT principles. The rapid uptake of KT theory will depend on developing KT champions locally and internationally for resident physicians to emulate. The consensus participants combined published evidence with expert opinion to outline recommendations for identifying the barriers to KT by asking four specific questions: 1) What are the barriers that influence a resident's ability to act on valid health care evidence? 2) How do we break down these barriers? 3) How do we incorporate this into residency training? 4) How do we monitor the longevity of this intervention? Research in the fields of GME and KT is currently limited. GME educators assume that if we teach residents, they will learn and apply what they have been taught. This is a bold assumption with very little supporting evidence. This article is not an attempt to provide a complete overview of KT and GME, but, instead, aims to create a starting point for future work and discussions in the realm of KT and GM.

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