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STOPGAP: Stroke patient management and capacity planning

McClean, Sally I, Qiao, Yiming and Fullerton, Ken (2015) STOPGAP: Stroke patient management and capacity planning. Operations Research for Health Care, 6 . pp. 78-86. [Journal article]

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DOI: 10.1016/j.orhc.2015.09.007


Stroke disease places a heavy burden on society due to the debilitating and complex nature of the disease. Frequently stroke patients have a prolonged length of stay (LOS) in hospital, which may be an unnecessary and an inefficient use of resources. In addition, on-going care such as long-term nursing, and community based care place a substantial burden on health and social services. Building on previous work that modeled patient pathways in terms of phases we have developed an approach that computes the optimal number of stroke patients to send by ambulance from an admitting hospital to satellite hospitals that offer stroke in-patient hospital services. The objective is to ensure that capacity constraints are met, while moving as few patients as possible. While our theoretical solution and implementation focus on the specifics of the Belfast Trust, the methodology is clearly generalizable to other hospital settings in different contexts.

Item Type:Journal article
Keywords:Stroke patient management; Stroke capacity planning; Coxian phase type distribution; Markov models
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:32850
Deposited By: Professor Sally McClean
Deposited On:17 Dec 2015 11:03
Last Modified:17 Dec 2015 11:03

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