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Optimal Control of Patient Admissions to Satisfy Resource Restrictions

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Garg, L, McClean, Sally, Meenan, Brian and Millard, Peter (2008) Optimal Control of Patient Admissions to Satisfy Resource Restrictions. In: 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS 2008), Jyvaskyla, Finland. IEEE. 6 pp. [Conference contribution]

Full text not available from this repository.

URL: http://dx.doi.org/10.1109/CBMS.2008.33

DOI: doi:10.1109/CBMS.2008.33

Abstract

An 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.

Item Type:Conference contribution (Paper)
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:14620
Deposited By:Professor Sally McClean
Deposited On:05 Aug 2010 14:16
Last Modified:18 Aug 2011 11:54

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