院前分诊过程中急救分配模型的建立及实例分析

Abbas Sheikh Aboumasoudi, Shiva Hosseini Foladi, M. Kamali, Alireza Khammar, L. Gharacheh, Arezou Poursadeghiyan
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引用次数: 1

摘要

背景:在危机和灾害时期,适当的患者分诊、供应链管理以及卫生设施和服务的适当位置、交付和分配一直是具有挑战性的问题,在紧急情况下减少损害和提高患者护理水平方面发挥着重要作用。目的:设计院前分诊中急诊急救分配模型。方法:本文提出的模型是一个两层数学模型,该模型采用非线性规划方法引入了供应链中配送中心的建立和激活以及危机期间院前健康服务配送的新位置。这个提出的混合模式试图在效率、成本和分散的概念之间取得平衡。通过扩大保健服务的保险范围,在危机时刻提供的服务数量和受伤病人的分类也有所增加,从而在尽可能短的时间内提供更多的利润并提高医疗服务的效率。结果:该模型有助于选择合适的候选地点进行患者分诊,提高了分诊效果。因此,每个地方的适当性都是根据为它们设定的标准来衡量的。该模型考虑了选择急救服务分配地点的不同参数,包括选择分诊中心的效率、提供初级服务的库存系统成本、所选分诊中心的分散程度、对伤病患者的需求、建造额外分诊中心(如野战医院)的可能性,以及避免额外成本的策略。结论:本研究表明,通过最大限度地分散理想的设施,如配送中心,可以适当提高不同地区的需求覆盖率。也就是说,卫生服务分销商作为供应链的重要组成部分之一,可以帮助服务提供者在紧急情况下更好地满足受伤患者的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Presentation of a Model for the Distribution of Emergency First Aid During Pre-hospital Triage with a Practical Example
Background: The proper triage of patients, supply chain management, and proper location, delivery, and distribution of health facilities and services in times of crises and disasters have always been challenging issues playing an important role in reducing damages and increasing the level of patient care during emergencies. Objectives: This study was conducted to design a model for allocating emergency first aid in pre-hospital triage. Methods: The model presented in this study is a two-level mathematical model using nonlinear programming to introduce a new location for the establishment and activation of distribution centers in the supply chain and distribution of pre-hospital health-oriented services during crises. This proposed hybrid model seeks to strike a balance between the concepts of efficiency, cost, and dispersion. By expanding the insurance coverage of health services, the number of services provided in the times of crises and triage of injured patients also increases, leading to the delivery of more profits and improvement in the effectiveness of medical services in the shortest possible time. Results: This model helps to select suitable candidate locations for the triage of patients and increases its performance. Therefore, the appropriateness of each place is measured according to the criteria set for them. This model considers different parameters for selecting places for the distribution and allocation of emergency services, including the efficiency of the centers selected for the triage of patients, the cost of the inventory system for providing primary services, the dispersion of selected triage centers, demands for sick and injured patients, the possibility of constructing additional distribution centers (e.g., field hospitals), and strategies to avoid the imposition of additional costs. Conclusions: This study showed that by maximizing the dispersion of desirable facilities, such as distribution centers, the demand coverage of different regions is appropriately improved. In other words, the health service distributor, as one of the important parts of the supply chain, helps service providers better meet the needs of injured patients during emergencies.
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