Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150644
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dc.contributor.authorZhang, Xiaojinen_US
dc.contributor.authorMa, Shuangen_US
dc.contributor.authorChen, Songlinen_US
dc.date.accessioned2021-08-03T13:48:53Z-
dc.date.available2021-08-03T13:48:53Z-
dc.date.issued2019-
dc.identifier.citationZhang, X., Ma, S. & Chen, S. (2019). Healthcare process modularization using design structure matrix. Advanced Engineering Informatics, 39, 320-330. https://dx.doi.org/10.1016/j.aei.2019.02.005en_US
dc.identifier.issn1474-0346en_US
dc.identifier.urihttps://hdl.handle.net/10356/150644-
dc.description.abstractThe healthcare industry is confronted with the challenge of offering customized services while in the meantime to control increasing healthcare costs. Modularization is an important approach to reduce healthcare costs and improve patient-centered services via decreasing process complexity and enhancing flexibility through configuring pre-identified service modules. Recognizing the importance of modularity for healthcare services, this paper introduces Design Structure Matrix (DSM) as a technique for healthcare process modularization. A DSM-based modularization and sequencing algorithm is developed to allocate healthcare activities to service modules using Genetic Algorithm (GA) and arrange sequences of services both within and across service modules to support modular clinical pathway design. The proposed algorithm is implemented with a case study, the results of which have demonstrated the feasibility and applicability of the proposed DSM-based modularization method for healthcare process design.en_US
dc.language.isoenen_US
dc.relation.ispartofAdvanced Engineering Informaticsen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleHealthcare process modularization using design structure matrixen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.identifier.doi10.1016/j.aei.2019.02.005-
dc.identifier.scopus2-s2.0-85061531426-
dc.identifier.volume39en_US
dc.identifier.spage320en_US
dc.identifier.epage330en_US
dc.subject.keywordsHealthcare Serviceen_US
dc.subject.keywordsProcess Designen_US
dc.description.acknowledgementThis research is partially supported by the National Natural Science Foundation of China under Project Number 71873015.en_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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