Health care logistics: mapping and optimization of patients logistics

D. Chiroli, Raíza Conde Coradazi, Fabio Jose Ceron Branco, Y. Kachba, Franciely Velozo Aragão, Fernanda Cavicchioli Zola, S. M. Tebcherani, Tiberio Bruno Rocha E Cruz
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Abstract

Healthcare logistics play an important role in management, being attributed the activities of acquisition, distribution and movement of materials, professionals and patients. This work aims to develop a study, using the healthcare logistics in the movement of patients in the third health region of Paraná, proposing a linear programming problem that will pass through a computational simulation, considering the existing demands and constraints in the system, aiming to optimize the flow of patients from this region. The present study developed four mathematical models, based on demands and constraints followed by linear programming in order to find the best possible solution for the flow of patients from the third health region of the state of Paraná. The study developed reached its goal of optimization, generating an economy in the transportation of patients. Through the analysis of the results, it is concluded that the model that best suits the presented problem is the one of costs minimization, since the one of vehicles presented higher costs. Possibly the model that minimizes the vehicles would bring better results if the vehicles were not outsourced, but of the Ponta Grossa City Hall (PMPG). Was possible to verify the importance of the theme, especially when referring to the flow of patients in the health services due to the lack of studies with this specific approach. Even with the scarcity of data, it is possible to notice the potential for improvements on this patient transport system.
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医疗物流:患者物流的规划与优化
医疗保健物流在管理中发挥着重要作用,可归因于材料、专业人员和患者的获取、分发和移动活动。本工作旨在开展一项研究,利用paranar第三健康区域的医疗物流,提出一个线性规划问题,将通过计算模拟,考虑到系统中现有的需求和约束,旨在优化该区域的患者流量。本研究建立了四个数学模型,以需求和约束为基础,遵循线性规划,以找到来自帕拉纳州第三卫生区域的患者流量的最佳解决方案。这项研究达到了优化的目标,节省了病人的运输费用。通过对结果的分析,得出最适合该问题的模型是成本最小化模型,因为车辆的成本较高。如果车辆不外包,而是外包给蓬塔格罗萨市政厅(PMPG),那么最小化车辆的模式可能会带来更好的结果。由于缺乏对这一具体方法的研究,因此有可能核实这一主题的重要性,特别是在提到保健服务中的病人流动时。即使在数据匮乏的情况下,也有可能注意到改进这一病人运输系统的潜力。
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