DocumentCode :
2155629
Title :
Using Markov Models to Assess the Performance of a Health and Community Care System
Author :
Mcclean, Sally ; Faddy, Malcolm ; Millard, Peter
Author_Institution :
Ulster Univ., Coleraine
fYear :
0
fDate :
0-0 0
Firstpage :
777
Lastpage :
782
Abstract :
Markov chain modelling, in particular phase type modelling, has been previously used for hospital and community care systems, where we describe hospital care as a series of phases, such as acute, rehabilitation, or long-stay and likewise social care in the community may be modelled using phases such as dependent, convalescent, or nursing home. Such an approach allows us to adopt a holistic systems approach to health and community care modelling and management rather than focusing on the improvement of part of the system to the possible detriment of other components. We here extend this approach by showing how the general Markov framework can be exploited to extract various metrics of interest. In particular, we derive formulae for the mean and variance of the number of spells spent by a patient in hospital and in the community, and the expected total length of time in hospital and in community care, subsequent to first admission. Results are obtained for geriatric patients who have been admitted to hospital care. Finally we discuss how covariates, particularly time dependent covariates such as age, can be incorporated into the analysis
Keywords :
Markov processes; geriatrics; health care; Markov chain modelling; community care system; geriatric patients; health care system; hospital care; time dependent covariates; Absorption; Costs; Geriatrics; Hospitals; Measurement; Medical services; Patient monitoring; Process planning; Senior citizens; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location :
Salt Lake City, UT
ISSN :
1063-7125
Print_ISBN :
0-7695-2517-1
Type :
conf
DOI :
10.1109/CBMS.2006.164
Filename :
1647665
Link To Document :
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