Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
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In 2017, Academic Emergency Medicine convened a consensus conference entitled, "Catalyzing System Change through Health Care Simulation: Systems, Competency, and Outcomes." This article, a product of the breakout session on "understanding complex interactions through systems modeling," explores the role that computer simulation modeling can and should play in research and development of emergency care delivery systems. This article discusses areas central to the use of computer simulation modeling in emergency care research. ⋯ Also discussed is an introduction to available software modeling platforms and how to explore their use for research, along with a research agenda for computer simulation modeling. Through this article, our goal is to enhance adoption of computer simulation, a set of methods that hold great promise in addressing emergency care organization and design challenges.
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The acquisition and maintenance of individual competency is a critical component of effective emergency care systems. This article summarizes consensus working group deliberations and recommendations focusing on the topic "Simulation-based education to ensure provider competency within the healthcare system." The authors presented this work for discussion and feedback at the 2017 Academic Emergency Medicine Consensus Conference on "Catalyzing System Change Through Healthcare Simulation: Systems, Competency, and Outcomes," held on May 16, 2017, in Orlando, Florida. ⋯ This consensus subgroup focused on identifying current gaps in knowledge and process related to the use of simulation for developing, enhancing, and maintaining individual provider competency. The resulting product is a research agenda informed by expert consensus and literature review.
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Observational Study
Simulation for Assessment of Milestones in Emergency Medicine Residents.
All residency programs in the United States are required to report their residents' progress on the milestones to the Accreditation Council for Graduate Medical Education (ACGME) biannually. Since the development and institution of this competency-based assessment framework, residency programs have been attempting to ascertain the best ways to assess resident performance on these metrics. Simulation was recommended by the ACGME as one method of assessment for many of the milestone subcompetencies. We developed three simulation scenarios with scenario-specific milestone-based assessment tools. We aimed to gather validity evidence for this tool. ⋯ Three simulation cases with scenario-specific assessment tools allowed evaluation of EM residents on proficiency L1 to L4 within eight of the EM milestone subcompetencies. Evidence of test content, internal structure, response process, and relations with other variables were found. Good to excellent IRR and the ability to discriminate between various PGY levels was found for both the sum of CL items and the GRSs. However, there was a lack of a positive relationship between advancing PGY level and the completion of higher-level milestone items (L3 and L4).
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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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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.