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优化背景下的医疗保健调度:综述

Healthcare scheduling in optimization context: a review.

作者信息

Abdalkareem Zahraa A, Amir Amiza, Al-Betar Mohammed Azmi, Ekhan Phaklen, Hammouri Abdelaziz I

机构信息

Faculty of engineering technology /Department of Computer Engineering, University Malaysia Perlis, Kanger 02600 Arau, Perlis, Malaysia.

Department of Islamic English studies , Alimam Aladham university college , Baghdad, Iraq.

出版信息

Health Technol (Berl). 2021;11(3):445-469. doi: 10.1007/s12553-021-00547-5. Epub 2021 Apr 10.

DOI:10.1007/s12553-021-00547-5
PMID:33868893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8035616/
Abstract

This paper offers a summary of the latest studies on healthcare scheduling problems including patients' admission scheduling problem, nurse scheduling problem, operation room scheduling problem, surgery scheduling problem and other healthcare scheduling problems. The paper provides a comprehensive survey on healthcare scheduling focuses on the recent literature. The development of healthcare scheduling research plays a critical role in optimizing costs and improving the patient flow, providing prompt administration of treatment, and the optimal use of the resources provided and accessible in the hospitals. In the last decades, the healthcare scheduling methods that aim to automate the search for optimal resource management in hospitals by using metaheuristics methods have proliferated. However, the reported results are disintegrated since they solved every specific problem independently, given that there are many versions of problem definition and various data sets available for each of these problems. Therefore, this paper integrates the existing results by performing a comprehensive review and analyzing 190 articles based on four essential components in solving optimization problems: problem definition, formulations, data sets, and methods. This paper summarizes the latest healthcare scheduling problems focusing on patients' admission scheduling problems, nurse scheduling problems, and operation room scheduling problems considering these are the most common issues found in the literature. Furthermore, this review aims to help researchers to highlight some development from the most recent papers and grasp the new trends for future directions.

摘要

本文概述了医疗调度问题的最新研究,包括患者入院调度问题、护士调度问题、手术室调度问题、手术调度问题以及其他医疗调度问题。本文对医疗调度进行了全面综述,重点关注近期文献。医疗调度研究的发展在优化成本、改善患者流程、及时提供治疗以及优化医院可用资源的利用方面发挥着关键作用。在过去几十年中,旨在通过使用元启发式方法自动搜索医院最佳资源管理的医疗调度方法大量涌现。然而,由于针对每个具体问题独立求解,且每个问题有许多版本的问题定义和各种数据集,所报告的结果是分散的。因此,本文通过基于解决优化问题的四个基本要素(问题定义、公式化、数据集和方法)对190篇文章进行全面综述和分析,整合了现有结果。本文总结了最新的医疗调度问题,重点关注患者入院调度问题、护士调度问题和手术室调度问题,因为这些是文献中最常见的问题。此外,本综述旨在帮助研究人员突出最新论文中的一些发展,并把握未来方向的新趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c82/8035616/c2affe2c2ca3/12553_2021_547_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c82/8035616/3f1fea3c6ed3/12553_2021_547_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c82/8035616/e381ddb0a6d4/12553_2021_547_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c82/8035616/c2affe2c2ca3/12553_2021_547_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c82/8035616/3f1fea3c6ed3/12553_2021_547_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c82/8035616/e381ddb0a6d4/12553_2021_547_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c82/8035616/c2affe2c2ca3/12553_2021_547_Fig3_HTML.jpg

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Integer programming model extensions for a multi-stage nurse rostering problem.用于多阶段护士排班问题的整数规划模型扩展
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