Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China.
Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200240, China.
J Healthc Eng. 2022 Mar 3;2022:5819813. doi: 10.1155/2022/5819813. eCollection 2022.
This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various applications and solution approaches in healthcare systems. For this purpose, more than 150 scientific papers are critically reviewed. The literature and the articles are categorized based on several problem specifications, i.e., the flow of patients, patient preferences, and random arrival time and service. Several methods have been proposed to shorten the patient waiting time resulting in the shortest idle times in healthcare centers. Among existing modeling such as simulation models, mathematical optimization techniques, Markov chain, and artificial intelligence are the most practical approaches to optimizing or improving patient satisfaction in healthcare centers. In this study, various criteria are selected for structuring the recent literature dealing with outpatient scheduling problems at the strategic, tactical, or operational levels. Based on the review papers, some new overviews, problem settings, and hybrid modeling approaches are highlighted.
本文对医疗服务中的预约调度 (AS) 进行了全面回顾，同时提出了预约调度问题以及医疗系统中的各种应用和解决方案方法。为此，对 150 多篇科学论文进行了批判性回顾。文献和文章是根据几个问题规范进行分类的，即患者流动、患者偏好、随机到达时间和服务。已经提出了几种方法来缩短患者的等待时间，从而使医疗中心的空闲时间最短。在现有的建模方法中，如仿真模型、数学优化技术、马尔可夫链和人工智能，是优化或提高医疗中心患者满意度最实用的方法。在这项研究中，选择了各种标准来构建最近涉及战略、战术或运营层面门诊预约问题的文献综述。基于综述论文，突出了一些新的概述、问题设置和混合建模方法。
