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Using a slotted queuing model to predict the Operational Performance of Collaborative Emergency Centres

dc.contributor.authorWedge, Benjamin
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.departmentDepartment of Industrial Engineeringen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinerPetrie, David Aen_US
dc.contributor.graduate-coordinatorGhasemi, Alirezaen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerBlake, Johnen_US
dc.contributor.thesis-supervisorCarter, Alixen_US
dc.contributor.thesis-supervisorVanberkel, Peteren_US
dc.date.accessioned2016-04-27T16:38:56Z
dc.date.available2016-04-27T16:38:56Z
dc.date.defence2016-04-11
dc.date.issued2016-04-27T16:38:56Z
dc.description.abstractNova Scotia has developed a novel way to manage Emergency Department patients in small communities during overnight hours. Using a paramedic and a RN, who are in contact with a doctor over the phone, staff are able to manage the few patients who seek emergency care overnight at these Collaborative Emergency Centres (CECs). This thesis models the operational performance of the CECs using a slotted queuing model, then considers three population levels and compares the system’s operational performance pre- and post-CEC implementation. It is found that a CEC’s success is related to the proportion of supply to demand for primary care appointments. When there are more appointments than demand for primary care, the CEC improves primary care access by increasing physician availability during daytime hours. When there is greater demand for primary care than there are appointments available, the CEC increases wait time for primary care in all population groups modelled as the CEC requires some patients to return for additional daytime care.en_US
dc.identifier.urihttp://hdl.handle.net/10222/71506
dc.language.isoenen_US
dc.subjectindustrial engineeringen_US
dc.subjectoperations researchen_US
dc.subjectcollaborative emergency centresen_US
dc.titleUsing a slotted queuing model to predict the Operational Performance of Collaborative Emergency Centresen_US

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