It is essential to perform disaster prevention and preparedness at the city level before a real disaster event happens. One strategy is to raise the resilience and disaster preparedness of existing key hospitals and enhance their medical treatment capability in disaster situations, thereby increasing the robustness and efficiency of the whole network. This paper aims to identify the critical hospitals in the post-disaster healthcare system. An innovative method is proposed in this paper. Firstly, a network model is constructed based on modeling assumptions and selected hospitals with rescue and treatment capabilities. Secondly, four network-based criteria and three hospital parameter criteria are selected as decision-making criteria. Then, the entropy weight method (EWM) is used to calculate the criteria weights, and the VIKOR method is utilized to evaluate hospital nodes, thus obtaining the final rank of hospital importance. At last, a case study of Beijing is conducted. As the results show, the BC has the largest weight, followed by HL, and the CC has the smallest weight, and the final ranking results integrated the advantages of each criterion in different aspects of ranking and avoided the disadvantages of each criterion. It suggests that the location of the hospital plays a more critical role in the rescue process than the hospital's level. Also, the method described in this paper can systematically examine the post-disaster healthcare system and identify the critical hospitals in the system in a more comprehensive and effective way. The method provides an effective analysis tool for decision-makers in areas of urban disaster preparedness, urban medical system planning, and disaster relief decision-making.
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