Reorganization of a medical service network to manage pandemic waves: A real case study

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES Operations Research for Health Care Pub Date : 2023-10-05 DOI:10.1016/j.orhc.2023.100410
Sajjad Ahadian , Mir Saman Pishvaee , Hamed Jahani
{"title":"Reorganization of a medical service network to manage pandemic waves: A real case study","authors":"Sajjad Ahadian ,&nbsp;Mir Saman Pishvaee ,&nbsp;Hamed Jahani","doi":"10.1016/j.orhc.2023.100410","DOIUrl":null,"url":null,"abstract":"<div><p>During Covid-19, medical service networks (MSNs) faced new challenges, such as an impressive increase in hospital visits, a shortage of hospital beds and staff, and insufficient information to estimate the number of mild and critical cases. In addition, governments were encountered to implement appropriate quarantine policies. Dealing with these problems became more complex and challenging when a new wave of disease occurred. This study develops a mixed-integer linear programming model for reorganizing an MSN to manage future pandemic waves. The model aims at reallocation medical staff to prevent a shortage of hospital beds. A fuzzy approach is employed to estimate the uncertain number of patients in each period. As a result, direct hospital visits are decreased by 60% on average, and shortages of beds are avoided by adding the fewest beds possible in each period. The model can also optimize several performance ratios, e.g., the ratio of hospitalized patients to the specialized personnel assigned to each hospital, which is decreased by approximately 40% in our case.</p></div>","PeriodicalId":46320,"journal":{"name":"Operations Research for Health Care","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Operations Research for Health Care","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211692323000334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

During Covid-19, medical service networks (MSNs) faced new challenges, such as an impressive increase in hospital visits, a shortage of hospital beds and staff, and insufficient information to estimate the number of mild and critical cases. In addition, governments were encountered to implement appropriate quarantine policies. Dealing with these problems became more complex and challenging when a new wave of disease occurred. This study develops a mixed-integer linear programming model for reorganizing an MSN to manage future pandemic waves. The model aims at reallocation medical staff to prevent a shortage of hospital beds. A fuzzy approach is employed to estimate the uncertain number of patients in each period. As a result, direct hospital visits are decreased by 60% on average, and shortages of beds are avoided by adding the fewest beds possible in each period. The model can also optimize several performance ratios, e.g., the ratio of hospitalized patients to the specialized personnel assigned to each hospital, which is decreased by approximately 40% in our case.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
重组医疗服务网络以管理流行病浪潮:一个真实案例研究
在2019冠状病毒病期间,医疗服务网络(msn)面临着新的挑战,例如医院就诊人数大幅增加,医院床位和工作人员短缺,以及估计轻危病例数量的信息不足。此外,还要求各国政府执行适当的检疫政策。当新一波疾病发生时,处理这些问题变得更加复杂和具有挑战性。本研究开发了一个混合整数线性规划模型,用于重组MSN以管理未来的流行病浪潮。该模式旨在重新分配医务人员,以防止医院床位短缺。采用模糊方法对每个时间段的不确定患者数量进行估计。因此,直接到医院就诊的人数平均减少了60%,并且通过在每个时期尽可能少地增加床位,避免了床位短缺。该模型还可以优化几个性能比率,例如,住院患者与分配到每家医院的专业人员的比率,在我们的案例中减少了大约40%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Operations Research for Health Care
Operations Research for Health Care HEALTH CARE SCIENCES & SERVICES-
CiteScore
3.90
自引率
0.00%
发文量
9
审稿时长
69 days
期刊最新文献
Editorial Board Preference-based allocation of patients to nursing homes Balancing continuity of care and home care schedule costs using blueprint routes Outpatient appointment systems: A new heuristic with patient classification A modeling framework for evaluating proactive and reactive nurse rostering strategies — A case study from a Neonatal Intensive Care Unit
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1