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Article: Critical Department Analysis for Large-Scale Outpatient Systems

TitleCritical Department Analysis for Large-Scale Outpatient Systems
Authors
KeywordsBottleneck
critical department
demand surge (DS)
healthcare
large-scale systems
outpatient
patient satisfaction
ranking
simulation
supply enhancement (SE)
supply loss (SL)
Issue Date28-Oct-2022
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Computational Social Systems, 2023, v. 10, n. 6, p. 3194-3203 How to Cite?
Abstract

Abstract— Identifying critical department(s) to enhance the supply in large-scale systems is beneficial to support the system efficiency. Large-scale outpatient systems (LSOSs) are usually faced with crowdedness and, hence, require critical departmental improvement to maintain patient satisfaction under a limited budget. Besides, when demand surges (DSs) or physicians are absent [supply loss (SL)], critical department identification becomes one of the key steps to resilient clinical management. To improve the clinical services and mitigate the risk of disruptions efficiently, we conduct critical department analysis under three scenarios: one clinical improvement scenario [supply enhancement (SE)] and two clinical disruption scenarios (DS and SL). These scenarios can happen in different departments in varying time sessions (e.g., am or pm). We define the criticality of a department as the change of patient satisfaction with respect to the change of departmental supply and demand. We accordingly propose a simulation-based ranking method and implement a case study in an LSOS. The simulation results show that the criticality of the department highly depends on the time session. Surprisingly, SE may reduce patient satisfaction when the supply increases in several specific departments. Key findings and managerial insights are further discussed.


Persistent Identifierhttp://hdl.handle.net/10722/339997
ISSN
2022 Impact Factor: 5.0
2020 SCImago Journal Rankings: 0.783
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZou, Chengye-
dc.contributor.authorWang, Junwei-
dc.contributor.authorCheng, Yao-
dc.date.accessioned2024-03-11T10:40:54Z-
dc.date.available2024-03-11T10:40:54Z-
dc.date.issued2022-10-28-
dc.identifier.citationIEEE Transactions on Computational Social Systems, 2023, v. 10, n. 6, p. 3194-3203-
dc.identifier.issn2329-924X-
dc.identifier.urihttp://hdl.handle.net/10722/339997-
dc.description.abstract<p>Abstract— Identifying critical department(s) to enhance the supply in large-scale systems is beneficial to support the system efficiency. Large-scale outpatient systems (LSOSs) are usually faced with crowdedness and, hence, require critical departmental improvement to maintain patient satisfaction under a limited budget. Besides, when demand surges (DSs) or physicians are absent [supply loss (SL)], critical department identification becomes one of the key steps to resilient clinical management. To improve the clinical services and mitigate the risk of disruptions efficiently, we conduct critical department analysis under three scenarios: one clinical improvement scenario [supply enhancement (SE)] and two clinical disruption scenarios (DS and SL). These scenarios can happen in different departments in varying time sessions (e.g., am or pm). We define the criticality of a department as the change of patient satisfaction with respect to the change of departmental supply and demand. We accordingly propose a simulation-based ranking method and implement a case study in an LSOS. The simulation results show that the criticality of the department highly depends on the time session. Surprisingly, SE may reduce patient satisfaction when the supply increases in several specific departments. Key findings and managerial insights are further discussed.<br></p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Computational Social Systems-
dc.subjectBottleneck-
dc.subjectcritical department-
dc.subjectdemand surge (DS)-
dc.subjecthealthcare-
dc.subjectlarge-scale systems-
dc.subjectoutpatient-
dc.subjectpatient satisfaction-
dc.subjectranking-
dc.subjectsimulation-
dc.subjectsupply enhancement (SE)-
dc.subjectsupply loss (SL)-
dc.titleCritical Department Analysis for Large-Scale Outpatient Systems-
dc.typeArticle-
dc.identifier.doi10.1109/TCSS.2022.3212121-
dc.identifier.scopuseid_2-s2.0-85141446866-
dc.identifier.volume10-
dc.identifier.issue6-
dc.identifier.spage3194-
dc.identifier.epage3203-
dc.identifier.eissn2329-924X-
dc.identifier.isiWOS:001123580500029-
dc.identifier.issnl2329-924X-

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