SUSTAINABLE ENHANCEMENT OF HEALTHCARE DELIVERY: A COMPREHENSIVE PARADIGM FOR OPTIMIZING ELECTIVE SURGERY RESOURCES

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dc.contributor.authorKoushan M
dc.contributor.authorWood LC
dc.contributor.authorGreatbanks R
dc.contributor.authorDoung LNK
dc.date.accessioned2024-03-22T03:05:03Z
dc.date.available2024-03-22T03:05:03Z
dc.date.issued2023
dc.description.abstractThis study introduces a novel, comprehensive surgery scheduling model for elective surgeries, aiming to enhance coordination among preoperative, operating room, and postoperative units. The model encompasses three objectives to achieve a trade-off among stakeholders' priorities: firstly, minimizing idle time and overtime in Operating Rooms (ORs); secondly, maximizing the interval between two consecutive patients in the operating room to facilitate stakeholder satisfaction; and thirdly, maximizing the number of scheduled patients from the waiting list throughout the scheduling horizon. Given the problem's NP-hard nature, a new meta-heuristic approach (NSGA-SA), the hybrid of Non-dominated Sorting Genetic Algorithm (NSGA-II) with Simulated Annealing (SA), is employed for problem solving. Following parameter setting of the solution approaches, multiple numerical experiments are conducted. The exact results obtained through the General Algebraic Modeling System (GAMS) are compared with the outcomes of the outlined meta-heuristic approach, demonstrating the effective performance of the proposed method.
dc.identifier.citationKoushan M, Wood LC, Greatbanks R, Doung LNK (2023). SUSTAINABLE ENHANCEMENT OF HEALTHCARE DELIVERY: A COMPREHENSIVE PARADIGM FOR OPTIMIZING ELECTIVE SURGERY RESOURCES. Proceedings of International Conference on Computers and Industrial Engineering, CIE. 3. 1674-1683.
dc.identifier.isbn9781713886952
dc.identifier.issn2164-8689
dc.identifier.urihttps://hdl.handle.net/10092/106701
dc.rightsAll rights reserved unless otherwise stated
dc.rights.urihttp://hdl.handle.net/10092/17651
dc.titleSUSTAINABLE ENHANCEMENT OF HEALTHCARE DELIVERY: A COMPREHENSIVE PARADIGM FOR OPTIMIZING ELECTIVE SURGERY RESOURCES
dc.typeConference Contributions - Published
uc.collegeUC Business School
uc.departmentManagement, Marketing and Tourism
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