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dc.contributor.authorGarg, Lalit-
dc.contributor.authorMcClean, Sally-
dc.contributor.authorMeenan, Brian-
dc.contributor.authorMillard, Peter-
dc.identifier.citationGarg, L., McClean, S., Meenan, B., & Millard, P. (2008). Optimal control of patient admissions to satisfy resource restrictions. 21st IEEE International Symposium on Computer-Based Medical Systems, Jyvaskyla. 512-517.en_GB
dc.description.abstractAn effective admission policy is an essential part of successful management of a patient care system. This admission policy should consider the future availability of resources, e.g. number of beds or budgets available. All possible pathways through the whole patient care system need to be identified to better understand the process dynamics of a care system. In the current paper we show how such patient pathways can be used to predict the care resource requirements in the future. The patient pathways, developed using Markov chain modelling, are used to design an appropriate admission policy to meet future resource availability for the care system. We demonstrate an application of control theory to manage current admission rates to meet future scarce budgetary resource availability. This model can also be used to estimate the effect of an admission policy. Geriatric Patients’ data from a London hospital are used to illustrate the approach. An optimization technique is also presented to reduce the implementation complexity and time.en_GB
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_GB
dc.subjectMedical protocolsen_GB
dc.subjectMarkov processesen_GB
dc.subjectMedical cooperationen_GB
dc.subjectCost effectivenessen_GB
dc.subjectMedical careen_GB
dc.titleOptimal control of patient admissions to satisfy resource restrictionsen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencename21st IEEE International Symposium on Computer-Based Medical Systemsen_GB
dc.bibliographicCitation.conferenceplaceJyvaskyla, Finland, 17-19/06/2008en_GB
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