Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation.

IF 1.2 Q4 HEALTH POLICY & SERVICES
Health Systems Pub Date : 2019-01-16 eCollection Date: 2019-01-01 DOI:10.1080/20476965.2018.1561160
Vahab Vahdat, Amir Namin, Rana Azghandi, Jacqueline Griffin
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引用次数: 0

Abstract

With greater demand for outpatient services, the importance of patient-centric clinic layout design that improves timeliness of patient care has become more elucidated. In this paper, a novel simulation-optimisation (SO) framework is proposed focusing on the physical and process flows of patients in the design of a paediatric orthopaedic outpatient clinic. A discrete-event simulation model is used to estimate the frequency of movements between clinic units. The resulting information is utilised as input to a mixed integer programming (MIP) model, optimising the clinic layout design. In order to solve the MIP model, Particle Swarm Optimisation (PSO), a metaheuristic approach enhanced with several heuristics is utilised. Finally, the optimisation model outputs are evaluated with the simulation model. The results demonstrate that improvements to the quality of the patient experience can be achieved through incorporating SO methods into the clinic layout design process.

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利用数据驱动的模拟和优化技术,通过高效的门诊布局设计,提高病人就医的及时性。
随着人们对门诊服务需求的增加,以病人为中心的诊所布局设计对提高病人护理及时性的重要性日益凸显。本文提出了一个新颖的模拟优化(SO)框架,重点关注儿科骨科门诊设计中病人的物理流和流程流。使用离散事件模拟模型来估算门诊单元之间的流动频率。由此产生的信息被用作混合整数编程(MIP)模型的输入,以优化诊所布局设计。为了解决 MIP 模型,使用了粒子群优化(PSO),这是一种元启发式方法,采用了多种启发式方法。最后,利用仿真模型对优化模型的输出结果进行了评估。结果表明,在诊所布局设计过程中采用 SO 方法可以改善患者的就医体验质量。
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来源期刊
Health Systems
Health Systems HEALTH POLICY & SERVICES-
CiteScore
4.20
自引率
11.10%
发文量
20
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