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首页> 外文期刊>Journal of Health, Medicine and Nursing >Understanding Covid-19 Management Process in Health Care Facilities Using Functional Resonance Analysis Method
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Understanding Covid-19 Management Process in Health Care Facilities Using Functional Resonance Analysis Method

机译:使用功能共振分析方法了解医疗保健设施中的Covid-19管理过程

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COVID-19 was identified in Wuhan, China, in December of 2019. Afterwards, it spreads all over the World and causes many difficulties in health management in many countries. Many risk analysis methods have been applied to control and minimize contamination risks.This study aims to understand the COVID-19 management process in health care facilities using the Functional Resonance Analysis Method (FRAM) to facilitate the safety analysis, taking account of the system response to different operating conditions and various risks.The hospital process of COVID-19 patient is examined in three public and one private hospital in Istanbul/Turkey. The information is taken with teleconference meetings over 34 hours with 16 doctors and 12 nurses during a month. The model is applied by "FRAM Model Visualizer" to determine potential couplings between the functions and their potential impact on the hospital process. Fourteen functions are identified to analyze the hospital process of a patient, and multiple scenarios are developed with consideration for the progress conditions of the system. It has been concluded that FRAM does not remain at the conceptual level with application studies, but it is very suitable for many complex systems such as case analyzes such as pandemic and disaster scenarios.
机译:Covid-19在2019年12月在中国武汉确定了。之后,它在世界各地传播,并在许多国家造成了许多卫生管理的困难。许多风险分析方法已经应用于控制和最大限度地减少污染风险。本研究旨在使用功能共振分析方法(FRAM)来了解医疗保健设施中的Covid-19管理过程,以便于考虑系统反应的安全分析对不同的运营条件和各种风险。Covid-19患者的医院过程在伊斯坦布尔/土耳其的三个公共和一家私立医院进行了审查。这些信息在34小时内与电话会议有超过34小时,一个月有16名医生和12名护士。该模型由“FRAM模型可视化器”应用,以确定功能之间的潜在耦合及其对医院过程的潜在影响。确定了十四个功能以分析患者的医院过程,并考虑到系统的进度条件来开发多种情况。已经得出结论,FRAM不留在概念层面与应用研究,但它非常适合许多复杂系统,例如大流行和灾害场景等案例分析。

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