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dc.contributor.authorBovim, Thomas
dc.contributor.authorAbdullahu, Anita
dc.contributor.authorAndersson, Henrik
dc.contributor.authorGullhav, Anders Nordby
dc.date.accessioned2023-02-15T08:22:03Z
dc.date.available2023-02-15T08:22:03Z
dc.date.created2022-10-24T14:45:07Z
dc.date.issued2022
dc.identifier.citationOperations Research for Health Care. 2022, 35 .en_US
dc.identifier.issn2211-6923
dc.identifier.urihttps://hdl.handle.net/11250/3050909
dc.description.abstractIn this paper, we study an integrated master surgery and outpatient clinic scheduling problem, motivated by the situation at the Orthopaedic Department at St. Olav’s Hospital, Trondheim. During a treatment process, the patients require one or several consultations at the outpatient clinic, and potentially a surgery in one of the operating rooms. The physicians perform both consultations and surgeries, and coordinating the two facilities is challenging. The surgeons are trained to handle different surgical specialties, and they differ in experience. The overall goal is to schedule the specialties, and a number of qualified surgeons, to time slots in the outpatient clinic and operating rooms through the week, to efficiently handle the patient demand. Our main contribution is an optimisation model for solving the integrated master surgery and outpatient clinic scheduling problem. In addition to allocating specialties and a number of surgeons, the model also schedules activity types (surgery categories and outpatient clinic consultation types) to the time slots. These can guide the operational scheduling of individual patients at a later stage. A computational study is performed, demonstrating the use of the optimisation model to provide a set of master schedules, based on a set of different resource capacity cases. We develop a simulation model for evaluating the master schedules in an operational setting, and three different operational scheduling policies are compared. We conclude that scheduling patients to activities governed primarily by the optimisation model solution outperforms a FIFO scheduling policy based only on specialty.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleIntegrated master surgery and outpatient clinic schedulingen_US
dc.title.alternativeIntegrated master surgery and outpatient clinic schedulingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber17en_US
dc.source.volume35en_US
dc.source.journalOperations Research for Health Careen_US
dc.identifier.doi10.1016/j.orhc.2022.100358
dc.identifier.cristin2064530
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal