Optimal Control of Patient Admissions to Satisfy Resource Restrictions

L Garg, Sally McClean, Brian Meenan, Peter Millard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages512-517
Number of pages6
ISBN (Print)978-0-7695-3165-6
DOIs
Publication statusPublished - Jun 2008
Event21st IEEE International Symposium on Computer-Based Medical Systems (CBMS 2008) - Jyvaskyla, Finland
Duration: 1 Jun 2008 → …

Conference

Conference21st IEEE International Symposium on Computer-Based Medical Systems (CBMS 2008)
Period1/06/08 → …

Fingerprint Dive into the research topics of 'Optimal Control of Patient Admissions to Satisfy Resource Restrictions'. Together they form a unique fingerprint.

  • Cite this