Study on the optimization of emergency medical staff regional dispatch considering the ratio of doctors and nurses

Li Luo, Yiting Luo, Yuyu Geng, Xiang Li, Yuan-cheng Fang, Yipeng Yang
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Abstract

Public health emergencies will pose an enormous challenge to healthcare service systems. As COVID-19 rage across the globe, we realize that COVID-19 exposes the problem of inadequate research on the dispatch of emergency medical personnel in response to a major epidemic outbreak. In the face of major public health emergencies, failure in timely satisfaction of healthcare demands by local healthcare professionals necessitates human resource support from other regions. To address this issue, further research is needed to gain better insights into interregional emergency human resource allocation. This paper aims to offer attention to patients’ medical needs and suppose that there are support hubs outside the outbreak region offering an external supply of medical personnel. The hospitals in these support hubs are categorized based on variables such as capacity, medical capability, and the number of dispatched personnel per day. An interregional emergency allocation model was established to consider the proper doctor-patient ratio and nurse-patient ratio in emergency response using methods such as mathematical programming. And relevant management suggestions were then offered via analysis. Research in this paper provides allocation models and proposals that healthcare professionals can refer to when making resource allocation decisions in emergency response.
考虑医护比例的急诊医务人员区域调度优化研究
突发公共卫生事件将给卫生服务体系带来巨大挑战。随着新冠肺炎疫情在全球范围内的蔓延,我们认识到,新冠肺炎暴露出重大疫情暴发时应急医务人员派遣研究不足的问题。面对重大突发公共卫生事件,当地医护人员不能及时满足医疗需求,需要其他地区的人力资源支持。为了解决这一问题,需要进一步研究,以便更好地了解区域间紧急情况下的人力资源分配情况。本文旨在关注患者的医疗需求,并假设在疫情区域之外有支持中心提供外部医疗人员供应。这些支援中心的医院根据容量、医疗能力和每天派遣的人员数量等变量进行分类。采用数学规划等方法,建立了考虑合理医患比和护患比的区域间应急分配模型。并通过分析提出相应的管理建议。本文的研究提供了可供医疗卫生专业人员在应急响应中进行资源分配决策时参考的分配模型和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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