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.
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