利用仿真优化方法优化新生儿重症监护室的设备容量规划

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Mufide Narli, Yusuf Kuvvetli̇, Ali Kokangül
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引用次数: 0

摘要

应进行能力规划,以平衡投资成本和投资效益,满足重症监护病房当前和未来的需求。如果为增加病人入院人数而设置较高的容量,会导致某些时段的容量无法使用,从而增加成本。另一方面,先天性和转运病人的入院申请可能会因设备不足而被拒绝。应从成本效益和病人健康的角度考虑,因此必须确定最佳设备容量。本研究采用模拟优化方法,考虑了医院新生儿重症监护室的最佳容量规划问题。针对土耳其阿达纳的新生儿重症监护室提出了一个离散事件模拟模型。然后,优化模型确定了培养箱、呼吸机和一氧化氮设备的最佳数量,以最大限度地提高设备效率,并最大限度地降低新生儿排斥率和转运率。模型提出了三种不同的资源分配方案,从这三个目标中得出的最佳方案为 72 台培养箱、35 台呼吸机和 3 台一氧化氮设备。所获得的应用结果表明,在目前情况下发现的排斥率和转运率为 1.12%,不同的设备数量可将排斥率和转运率降低到 0.2%,而且最佳的设备数量可实现设备效率。研究结果可以帮助决策者在需要最低运送率和拒收率的情况下做出决策,而这几乎是重症监护病房所需要的。此外,所提出的模拟优化模型可适用于具有相同特征的不同新生儿重症监护病房。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Equipment Capacity Planning in the Neonatal Intensive Care Unit with Simulation-Optimization Approach
Capacity planning should be performed to balance investment costs and benefits of investing to meet the current and future demand in intensive care units. Having a high capacity to increase patient admission will lead to unutilized capacity in some periods, thereby increasing costs. On the other hand, patient admission requests from inborn and transported patients might be rejected due to lack of equipment. It should be considered in terms of cost-effectiveness and patient health; therefore, optimal equipment capacity must be determined. In this study, the optimal capacity planning problem has been considered for the neonatal intensive care unit of a hospital adopting the simulation-optimization approach. A discrete event simulation model is proposed for a neonatal intensive care unit in Adana, Turkey. Then, the optimization model identified the optimal numbers of incubators, ventilators, and nitric oxide devices to maximize equipment efficiency and minimize total inborn patient rejection and transport ratios. Three different resource allocations are presented, and the best is obtained from these three objectives as 72 incubators, 35 ventilators, and three nitric oxide devices. The application results obtained have revealed that the rejection and transport rate, which is found to be 1.12% in the current situation, can be reduced to 0.2% with different numbers of equipment and that equipment efficiency can be achieved with optimal numbers of equipment. The results of the study can help the decision-makers when minimum transport and rejection ratios are critical which almost intensive care units are required. Furthermore, the proposed simulation-optimization model can be adapted to different neonatal intensive care units having the same characteristics.
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来源期刊
gazi university journal of science
gazi university journal of science MULTIDISCIPLINARY SCIENCES-
CiteScore
1.60
自引率
11.10%
发文量
87
期刊介绍: The scope of the “Gazi University Journal of Science” comprises such as original research on all aspects of basic science, engineering and technology. Original research results, scientific reviews and short communication notes in various fields of science and technology are considered for publication. The publication language of the journal is English. Manuscripts previously published in another journal are not accepted. Manuscripts with a suitable balance of practice and theory are preferred. A review article is expected to give in-depth information and satisfying evaluation of a specific scientific or technologic subject, supported with an extensive list of sources. Short communication notes prepared by researchers who would like to share the first outcomes of their on-going, original research work are welcome.
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