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Updated: Jan 20, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
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Published on: January 15, 2017

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A Data-Driven Approach to Team Training for Nurses in a Level II Trauma Center

Tracy L Litzinger1, Tara N Cohen, Jennifer S Cabrera

  • 1Behavioral Science, Flagler College, St Augustine, Florida (Dr Litzinger); Cedars-Sinai Medical Center, Los Angeles, California (Dr Cohen); Embry-Riddle Aeronautical University, Daytona Beach, Florida (Ms Cabrera and Drs Shappell and Boquet); Emergency Department, Florida Hospital Memorial Medical Center, Daytona Beach, Florida (Mr Captain); Florida State University College of Medicine, Halifax Health Medical Center, Daytona Beach, Florida (Dr Fabian); and Halifax Health Medical Center, Daytona Beach, Florida (Dr Miles).

Journal of Trauma Nursing : the Official Journal of the Society of Trauma Nurses
|September 5, 2019
PubMed

This prospective investigation describes the process of designing a targeted, data-driven team training aimed at reducing identified process inefficiencies or flow disruptions (FDs) that threaten the optimal delivery of trauma care. Trained researchers observed and classified FDs during 34 trauma cases in a Level II trauma center. Multidisciplinary trauma personnel generated interventions to identified issues using the human factors intervention matrix (HFIX). This article focuses on one intervention: a formal trauma nurse training program centered around leadership, teamwork, and communication. The training was well perceived and was found to have a significant impact on participant knowledge of course content; t (65) = -13.92, p ≤ .01. By using hospital-specific data to drive intervention development from multidisciplinary team members, it is possible to develop effective solutions aimed at addressing individual threats.

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