Browsing by Author "Wong, Ambrose H."

Now showing 1 - 4 of 4
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    Changing Systems Through Effective Teams: A Role for Simulation
    (Wiley, 2017) Rosenman, Elizabeth D.; Fernandez, Rosemarie; Wong, Ambrose H.; Cassara, Michael; Cooper, Dylan D.; Kou, Maybelle; Laack, Torrey A.; Motola, Ivette; Parsons, Jessica R.; Levine, Benjamin R.; Grand, James A.; Department of Emergency Medicine, School of Medicine
    Teams are the building blocks of the healthcare system, with growing evidence linking the quality of health care to team effectiveness, and team effectiveness to team training. Simulation has been identified as an effective modality for team training and assessment. Despite this, there are gaps in methodology, measurement, and implementation that prevent maximizing the impact of simulation modalities on team performance. As part of the 2017 Academic Emergency Medicine Consensus Conference “Catalyzing System Change through Health Care Simulation: Systems, Competency, and Outcomes,” we explored the impact of simulation on various aspects of team effectiveness. The consensus process included an extensive literature review, group discussions, and the conference “work-shop” involving emergency medicine physicians, medical educators, and team science experts. The objectives of this work are to: (1) explore the antecedents and processes that support team effectiveness, (2) summarize the current role of simulation in developing and understanding team effectiveness, and (3) identify research targets to further improve team-based training and assessment, with the ultimate goal of improving health care systems.
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    Fellowship Accreditation: Experiences From Health Care Simulation Experts
    (Allen Press, 2024) Musits, Andrew N.; Khan, Humera; Cassara, Michael; McKenna, Ryan T.; Penttila, Atte; Ahmed, Rami A.; Wong, Ambrose H.; Emergency Medicine, School of Medicine
    Background: The field of health care simulation continues to grow, accompanied by a proliferation of fellowship programs, leading to fellowship accreditation efforts. There is controversy around the best approach to accreditation. Objective: The authors sought to understand perspectives of simulation leaders on fellowship accreditation to best inform the growth and maturation of fellowship accreditation. Methods: In 2020, simulation leaders identified through snowball sampling were invited to participate in a qualitative study. During one-on-one semistructured interviews, participants were asked about experiences as simulation leaders and their perspective on the purpose and impact of accreditation. The interviews were audio recorded and transcribed. Thematic analysis informed by a phenomenology framework was performed using a masked open coding technique with iterative refinement. The resulting codes were organized into themes and subthemes. Results: A total of 45 simulation experts participated in interviews ranging from 25 to 67 minutes. Participants described discord and lack of consensus regarding simulation fellowship accreditation, which included a spectrum of opinions ranging from readiness for accreditation pathways to concern and avoidance. Participants also highlighted how context drove the perception of accreditation value for programs and individuals, including access to resources and capital. Finally, potential impacts from accreditation included standardization of training programs, workforce concerns, and implications for professional societies. Conclusions: Simulation leaders underscored how the value of accreditation is dependent on context. Additional subthemes included reputation and resource variability, balancing standardization with flexibility and innovation, and implications for professional societies.
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    Human factors and simulation in emergency medicine
    (Wiley, 2017) Hayden, Emily M.; Wong, Ambrose H.; Ackerman, Jeremy; Sande, Margaret K.; Lei, Charles; Kobayashi, Leo; Cassara, Michael; Cooper, Dylan D.; Perry, Kimberly; Lewandowski, William E.; Scerbo, Mark W.; Emergency Medicine, School of Medicine
    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 and simulation in the field of emergency medicine. The human factors discipline is often underutilized within emergency medicine but has significant potential in improving the interface between technologies and individuals in the field. The discussion explored the domain of human factors, its benefits in medicine, how simulation can be a catalyst for human factors work in emergency medicine, and how emergency medicine can collaborate with human factors professionals to affect change. Implementing human factors in emergency medicine through healthcare simulation will require a demonstration of clinical and safety outcomes, advocacy to stakeholders and administrators, and establishment of structured collaborations between human factors professionals and emergency medicine, such as in this breakout group.
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    Supporting the Quadruple Aim Using Simulation and Human Factors During COVID-19 Care
    (Wolters Kluwer, 2021) Wong, Ambrose H.; Ahmed, Rami A.; Ray, Jessica M.; Khan, Humera; Hughes, Patrick G.; McCoy, Christopher Eric; Auerbach, Marc A.; Barach, Paul; Emergency Medicine, School of Medicine
    The health care sector has made radical changes to hospital operations and care delivery in response to the coronavirus disease (COVID-19) pandemic. This article examines pragmatic applications of simulation and human factors to support the Quadruple Aim of health system performance during the COVID-19 era. First, patient safety is enhanced through development and testing of new technologies, equipment, and protocols using laboratory-based and in situ simulation. Second, population health is strengthened through virtual platforms that deliver telehealth and remote simulation that ensure readiness for personnel to deploy to new clinical units. Third, prevention of lost revenue occurs through usability testing of equipment and computer-based simulations to predict system performance and resilience. Finally, simulation supports health worker wellness and satisfaction by identifying optimal work conditions that maximize productivity while protecting staff through preparedness training. Leveraging simulation and human factors will support a resilient and sustainable response to the pandemic in a transformed health care landscape.