Skip to main content

Stochastic models of geriatric patient bed occupancy behaviour

Buy Article:

$51.00 plus tax (Refund Policy)


This paper considers a census approach to the modelling of the time that geriatric patients spend in hospital and subsequently in the community by using a stochastic compartmental Markov model. A selection process is developed using maximum likelihood estimation to fit the model to daily census data on the duration spent in the hospital or the community. Census data are used as they are easy to collect and therefore maximize the usability of the model. The model is fitted to an extensive 16-year data-set and shown to provide realistic estimates of movements of patients by using only a single day's census result.

Keywords: Bed occupancy modelling; Geriatric medicine; Markov models; Maximum likelihood estimation

Document Type: Original Article


Affiliations: 1: University of Bath, UK, 2: University of Ulster, Coleraine, UK, 3: St George's Hospital Medical School, London, UK

Publication date: February 1, 2000

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more