Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
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Multicenter Study Observational Study
A simulation-based approach to measuring team situational awareness in emergency medicine: A multicenter, observational study.
Team situational awareness (TSA) is critical for effective teamwork and supports dynamic decision making in unpredictable, time-pressured situations. Simulation provides a platform for developing and assessing TSA, but these efforts are limited by suboptimal measurement approaches. The objective of this study was to develop and evaluate a novel approach to TSA measurement in interprofessional emergency medicine (EM) teams. ⋯ Team situational awareness supports adaptive teams and is critical for high reliability organizations such as healthcare systems. Simulation can provide a platform for research aimed at understanding and measuring TSA. This study provides a feasible method for simulation-based assessment of TSA in interdisciplinary teams that addresses prior measure limitations and is appropriate for use in highly dynamic, uncertain situations commonly encountered in emergency department systems. Future research is needed to understand the development of and interactions between individual-, team-, and system (distributed)-level cognitive processes.
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Computer simulation is a highly advantageous method for understanding and improving health care operations with a wide variety of possible applications. Most computer simulation studies in emergency medicine have sought to improve allocation of resources to meet demand or to assess the impact of hospital and other system policies on emergency department (ED) throughput. These models have enabled essential discoveries that can be used to improve the general structure and functioning of EDs. ⋯ In this paper, we describe conceptual advances and lessons learned during the design, parameterization, and validation of a computer simulation model constructed to evaluate changes in ED provider activity. We illustrate these concepts using examples from a study focused on the operational effects of HIV screening implementation in the ED. Presentation of our experience should emphasize the potential for application of computer simulation to study changes in health care provider activity and facilitate the progress of future investigators in this field.
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Randomized Controlled Trial Comparative Study
Training and Assessing Critical Airway, Breathing and Hemorrhage Control Procedures for Trauma Care: Live Tissue versus Synthetic Models.
Optimal teaching and assessment methods and models for emergency airway, breathing, and hemorrhage interventions are not currently known. The University of Minnesota Combat Casualty Training consortium (UMN CCTC) was formed to explore the strengths and weaknesses of synthetic training models (STMs) versus live tissue (LT) models. In this study, we compare the effectiveness of best in class STMs versus an anesthetized caprine (goat) model for training and assessing seven procedures: junctional hemorrhage control, tourniquet (TQ) placement, chest seal, needle thoracostomy (NCD), nasopharyngeal airway (NPA), tube thoracostomy, and cricothyrotomy (Cric). ⋯ Training on STM or LT did not demonstrate a difference in subsequent performance for five of seven procedures (junctional hemorrhage, TQ, chest seal, NPA, and NCD). Until STMs are developed with improved anthropomorphic and tissue fidelity, there may still be a role for LT for training tube thoracostomy and potentially Cric. For assessment, our STM appears more challenging for TQ and potentially for NCD than LT. For junctional hemorrhage, the increased "skips" with LT may be explained by the differences in anatomic fidelity. While these results begin to uncover the effects of training and assessing these procedures on various models, further study is needed to ascertain how well performance on an STM or LT model translates to the human model.
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This consensus group from the 2017 Academic Emergency Medicine Consensus Conference "Catalyzing System Change through Health Care Simulation: Systems, Competency, and Outcomes" held in Orlando, Florida, on May 16, 2017, focused on the use of human factors (HF) and simulation in the field of emergency medicine (EM). The HF discipline is often underutilized within EM but has significant potential in improving the interface between technologies and individuals in the field. The discussion explored the domain of HF, its benefits in medicine, how simulation can be a catalyst for HF work in EM, and how EM can collaborate with HF professionals to effect change. Implementing HF in EM through health care simulation will require a demonstration of clinical and safety outcomes, advocacy to stakeholders and administrators, and establishment of structured collaborations between HF professionals and EM, such as in this breakout group.
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Over the past decade, emergency medicine (EM) took a lead role in healthcare simulation in part due to its demands for successful interprofessional and multidisciplinary collaboration, along with educational needs in a diverse array of cognitive and procedural skills. Simulation-based methodologies have the capacity to support training and research platforms that model micro-, meso-, and macrosystems of healthcare. To fully capitalize on the potential of simulation-based research to improve emergency healthcare delivery will require the application of rigorous methods from engineering, social science, and basic science disciplines. ⋯ This executive summary describes the overall rationale for the conference, conference planning, and consensus-building approaches and outlines the focus of the eight breakout sessions. The consensus outcomes from each breakout session are summarized in proceedings papers published in this issue of Academic Emergency Medicine. Each paper provides an overview of methodologic and knowledge gaps in simulation research and identifies future research targets aimed at improving the safety and quality of healthcare.