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Supporting the Quadruple Aim Using Simulation and Human Factors During COVID-19 Care.
Wong, Ambrose H; Ahmed, Rami A; Ray, Jessica M; Khan, Humera; Hughes, Patrick G; McCoy, Christopher Eric; Auerbach, Marc A; Barach, Paul.
  • Wong AH; Department of Emergency Medicine, Yale School of Medicine, New Haven, CT Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN Department of Internal Medicine, Central Michigan University College of Medicine, Mount Pleasant, MI Department of Emergency Medicine, Florida Atlantic University College of Medicine, Boca Raton, FL Department of Emergency Medicine, University of California, Irvine, Irvine, CA Department of Pediatrics, Yale School of Medicine, New Have
Am J Med Qual ; 36(2): 73-83, 2021.
Article in English | MEDLINE | ID: covidwho-1172660
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Delivery of Health Care / Simulation Training / COVID-19 / Hospital Administration Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Am J Med Qual Journal subject: Health Services Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Delivery of Health Care / Simulation Training / COVID-19 / Hospital Administration Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Am J Med Qual Journal subject: Health Services Year: 2021 Document Type: Article