Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation
Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation
复制标题
使用数据驱动的模拟和优化进行高效的门诊布局设计，提高患者护理的及时性
作者：
Vahab Vahdat;Amir Abdollahi Namin;Rana Azghandi;Jacqueline A. Griffin
摘要 随着门诊服务需求的增加，以患者为中心的诊所布局设计、提高患者护理及时性的重要性变得更加明显。在本文中，提出了一种新颖的模拟优化（SO）框架，重点关注儿科骨科门诊设计中患者的物理和流程流程。离散事件模拟模型用于估计诊所单位之间的移动频率。生成的信息用作混合整数规划 (MIP) 模型的输入，从而优化诊所布局设计。为了求解 MIP 模型，采用了粒子群优化 (PSO)，这是一种通过多种启发式方法增强的元启发式方法。最后，利用仿真模型评估优化模型的输出。结果表明，通过将 SO 方法纳入诊所布局设计过程，可以提高患者体验的质量。
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.