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Improving the Efficiency of Medical Services Systems: A New Integrated Mathematical Modeling Approach

机译：提高医疗服务系统的效率：一种新的集成数学建模方法

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摘要

Nowadays, the efficient design of medical service systems plays a critical role in improving the performance and efficiency of medical services provided by governments. Accordingly, health care planners in countries especially with a system based on a National Health Service (NHS) try to make decisions on where to locate and how to organize medical services regarding several conditions in different residence areas, so as to improve the geographic equity of comfortable access in the delivery of medical services while accounting for efficiency and cost issues especially in crucial situations. Therefore, optimally locating of such services and also suitable allocating demands them, can help to enhance the performance and responsiveness of medical services system. In this paper, a multiobjective mixed integer nonlinear programming model is proposed to decide locations of new medical system centers, link roads that should be constructed or improved, and also urban residence centers covered by these medical service centers and link roads under investment budget constraint in order to both minimize the total transportation cost of the overall system and minimize the total failure cost (i.e., maximize the system reliability) of medical service centers under unforeseen situations. Then, the proposed model is linearized by suitable techniques. Moreover, a practical case study is presented in detail to illustrate the application of the proposed mathematical model. Finally, a sensitivity analysis is done to provide an insight into the behavior of the proposed model in response to changes of key parameters of the problem.
机译：如今，医疗服务系统的高效设计在提高政府提供的医疗服务的绩效和效率方面起着至关重要的作用。因此，一些国家的医疗保健计划者，尤其是具有基于国家医疗服务体系（NHS）的系统的人们，试图就不同居​​住地区的几种情况做出决定，在何处定位以及如何组织医疗服务，以提高居民的地理公平性。舒适地提供医疗服务，同时考虑效率和成本问题，尤其是在紧急情况下。因此，对此类服务的最佳定位以及对它们的适当分配需求，可以帮助提高医疗服务系统的性能和响应能力。本文提出了一种多目标混合整数非线性规划模型，用于确定新的医疗系统中心的位置，应该修建或改善的道路以及这些医疗服务中心覆盖的城市居住中心以及在投资预算约束下的道路。为了既使整个系统的总运输成本最小化又使在不可预见的情况下医疗服务中心的总故障成本最小化（即使系统可靠性最大化）。然后，通过合适的技术将提出的模型线性化。此外，详细介绍了一个实际案例研究，以说明所提出的数学模型的应用。最后，进行敏感性分析以提供对所提出模型的行为的洞察，以响应问题关键参数的变化。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第7期|649397.1-649397.13|共13页
  • 作者

    Davood Shishebori; Mohammad Saeed Jabalameli;

  • 作者单位

    Department of Industrial Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran;

    Department of Industrial Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran;

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