Intra-hospital patient transportation system planning using Bilevel Decision Model

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-06-30 DOI:10.17270/j.log.2022.681

Thanawat Maka, C. Kasemset, Tinnakorn Phongthiya

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引用次数: 0

Abstract

. Background : The intra-hospital patient transportation is an important aspect of patient care. It is about the transfer of patients between different healthcare units in the hospital. Many tasks are required for transferring the patients from one to another unit depending on available resources and the needs of the patients, such as types of supporting equipment, transfer routes, and supporters. Limited and unprepared resources for transferring the patients, such as lack of supporting equipment and available supporters, may impact the patient treatment and service quality. Therefore, these resources should be managed effectively in order to minimize these impacts. The case study hospital located in Chiang Mai province, northern Thailand is currently encountering the problem in managing and planning the intra-hospital transportation process. Therefore, this research aimed to propose a mathematical model for planning the intra-hospital transportation system in this case study hospital. Methods: Our research proposed a bi-level mathematical model to tackle the intra-hospital transportation planning problems. The system is represented by a deterministic model using integer linear programming. The first level of the mathematical model is for identifying the locations and setting them as transportation depots. The second level of the model is to optimize the number of resources used for intra-hospital patient transportation. The model was then validated by using two sets of instances via LINGO solver. Results: This research proposed a bi-level mathematical model that could help to manage the intra-hospital transportation challenges in the case study hospital. Furthermore, the outcomes from the test with two instances were depots positioned at a set of feasible locations. The model was used to designate resources to each depot for the instance, such as wheelchairs, stretchers, oxygen tanks, and employees. In each case, the outcomes are dependent on varying service timings and demands. Conclusion: This research used the deterministic mathematical model for planning the intra-hospital transportation system consisting of the location assignment and resource allocation. The model, in addition, can solve with the exact method. Consequently, we can ensure that the presented model can apply to real situations in further study.

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基于双层决策模型的院内病人运输系统规划

．背景:院内病人转运是病人护理的一个重要方面。它是关于病人在医院不同医疗单位之间的转移。根据可用的资源和患者的需求，例如支持设备的类型、转移路线和支持者，将患者从一个单位转移到另一个单位需要完成许多任务。有限的和没有准备的资源转移病人，如缺乏支持设备和可用的支持者，可能会影响病人的治疗和服务质量。因此，应有效地管理这些资源，以尽量减少这些影响。该案例研究医院位于泰国北部清迈省，目前在管理和规划医院内运输过程中遇到了问题。因此，本研究旨在为本案例医院的院内运输系统规划提出一个数学模型。方法:提出一种双层数学模型来解决医院内交通规划问题。系统采用整数线性规划的确定性模型表示。数学模型的第一级是确定位置并将其设置为运输仓库。模型的第二层是优化用于院内病人运输的资源数量。然后通过LINGO求解器使用两组实例对模型进行验证。结果:本研究提出了一个双层数学模型，可以帮助管理案例研究医院的院内运输挑战。此外，两个实例的测试结果是位于一组可行位置的仓库。该模型用于为实例指定每个仓库的资源，例如轮椅、担架、氧气罐和员工。在每种情况下，结果都取决于不同的服务时间和需求。结论:采用确定性数学模型对医院内运输系统进行选址和资源配置规划。此外，该模型可以用精确的方法求解。因此，我们可以确保所提出的模型在进一步的研究中能够适用于实际情况。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.