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本文引用的文献

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Telepresent mechanical ventilation training versus traditional instruction: a simulation-based pilot study.远程呈现机械通气培训与传统教学:一项基于模拟的初步研究。
BMJ Simul Technol Enhanc Learn. 2018 Nov 29;5(1):8-14. doi: 10.1136/bmjstel-2017-000254. eCollection 2019.
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COVID-19 and Medical Education: A Four-Part Model to Assess Risks, Benefits, and Institutional Obligations During a Global Pandemic.新冠疫情与医学教育:一个用于评估全球大流行期间风险、益处及机构义务的四部分模型
Mayo Clin Proc. 2021 Jan;96(1):20-28. doi: 10.1016/j.mayocp.2020.10.017. Epub 2020 Oct 23.
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A National US Survey of Pediatric Emergency Department Coronavirus Pandemic Preparedness.美国全国儿科急诊部应对冠状病毒大流行的准备情况调查。
Pediatr Emerg Care. 2021 Jan 1;37(1):48-53. doi: 10.1097/PEC.0000000000002307.
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Population Health Strategies to Support Hospital and Intensive Care Unit Resiliency During the COVID-19 Pandemic: The Italian Experience.在 COVID-19 大流行期间支持医院和重症监护病房恢复力的人口健康策略:意大利的经验。
Popul Health Manag. 2021 Apr;24(2):174-181. doi: 10.1089/pop.2020.0255. Epub 2020 Dec 30.
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Testing the effects of checklists on team behaviour during emergencies on general wards: An observational study using high-fidelity simulation.测试检查表对普通病房紧急情况下团队行为的影响:一项使用高仿真模拟的观察性研究。
Resuscitation. 2020 Dec;157:3-12. doi: 10.1016/j.resuscitation.2020.09.031. Epub 2020 Oct 4.
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Revisiting safe airway management and patient care by anaesthetists during the COVID-19 pandemic.麻醉医生在2019冠状病毒病大流行期间对安全气道管理和患者护理的再审视。
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COVID-19 pandemic preparation: using simulation for systems-based learning to prepare the largest healthcare workforce and system in Canada.2019冠状病毒病大流行的准备工作:利用模拟进行基于系统的学习,为加拿大最大的医疗保健人员队伍和系统做好准备。
Adv Simul (Lond). 2020 Aug 18;5:22. doi: 10.1186/s41077-020-00138-w. eCollection 2020.
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Regulatory, safety, and privacy concerns of home monitoring technologies during COVID-19.在 COVID-19 期间家庭监测技术的监管、安全和隐私问题。
Nat Med. 2020 Aug;26(8):1176-1182. doi: 10.1038/s41591-020-0994-1. Epub 2020 Aug 7.
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Strategies to Increase Peer Support Specialists' Capacity to Use Digital Technology in the Era of COVID-19: Pre-Post Study.在新冠疫情时代提高同伴支持专家使用数字技术能力的策略:前后对照研究。
JMIR Ment Health. 2020 Jul 23;7(7):e20429. doi: 10.2196/20429.
10
Correlation Between N95 Extended Use and Reuse and Fit Failure in an Emergency Department.N95 口罩延长使用和重复使用与急诊科适配失败的相关性。
JAMA. 2020 Jul 7;324(1):94-96. doi: 10.1001/jama.2020.9843.

在 COVID-19 护理中使用模拟和人为因素支持四重目标。

Supporting the Quadruple Aim Using Simulation and Human Factors During COVID-19 Care.

机构信息

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 Haven, CT Department of Emergency Medicine, Yale School of Medicine, New Haven, CT Department of Pediatrics, Wayne State University School of Medicine, Detroit, MI College of Population Health, Thomas Jefferson University, Philadelphia, PA.

出版信息

Am J Med Qual. 2021;36(2):73-83. doi: 10.1097/01.JMQ.0000735432.16289.d2.

DOI:10.1097/01.JMQ.0000735432.16289.d2
PMID:33830094
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8030878/
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.

摘要

医疗保健部门针对冠状病毒病(COVID-19)大流行,对医院运营和护理服务进行了彻底改革。本文探讨了仿真和人为因素的实际应用,以支持 COVID-19 时代的医疗系统绩效四重目标。首先,通过使用基于实验室和现场的仿真来开发和测试新技术、设备和规程,提高患者安全性。其次,通过虚拟平台提供远程医疗和远程模拟,确保人员准备好部署到新的临床科室,从而增强人群健康。第三,通过对设备和基于计算机的模拟进行可用性测试,预测系统性能和弹性,防止收入损失。最后,通过准备培训来识别最佳工作条件,在提高生产力的同时保护员工,通过仿真来支持卫生工作者的健康和满意度。利用仿真和人为因素将支持在变革后的医疗保健环境中对大流行做出有弹性和可持续的反应。