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| An Optimization Study on Outpatient Service Capacity Planning Considering Potential Infection Risk During Epidemics |
| LUO Li，WAN Xinying，ZHAO Shuzhen，WANG Yikun，WANG Qingyi |
| Sichuan University, Chengdu, China |
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Abstract In order to explore the influence of uncertainties related to medical services and potential infection risks on the allocation of outpatient number sources in large comprehensive hospitals under the infectious epidemic, this study considers the uncertainties such as potential infection risks, multi-type patient demands, and the arrival of medical demands, constructs a two-stage stochastic programming model with the goal of maximizing the expected total benefit of outpatient treatment, and conducts actual case studies. The results show that the importance that decision makers attach to different management goals, the severity of the epidemic, and the comprehensive benefit of serving patients’ needs will significantly affect the outpatient number source allocation strategies. Hospitals appropriately require outpatient departments to work under overcapacity, take infection prevention and control measures, and adjust more offline number sources to online number sources, which can effectively increase the hospital’s expected comprehensive benefit and expected total benefit without significantly increasing the potential infection risks.
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Received: 09 November 2021
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