The use of acute care hospitals is a significant factor in the increasing cost of health care
in many developed countries. The modelling of hospital beds should lead to better
decision-making in relation to this expensive resource. The average length of stay is
inappropriate for such modelling. Millard and others have shown that compartmental
models can be used for bed modelling. These models are plausible and easily interpreted.
Little work in relation to generalization and predictability has been undertaken. The
purpose of this paper was to consider which methodology is likely to provide the best
predictive decision-making in relation to hospital bed use for medical patients based upon
the work of Millard and his colleagues. Our results showed that the annual average model
performed best and offers a superior predictive capability over one-day census models.
Model creation should be based upon the consideration of as many points as necessary to
capture the variation within the data. Improvement in model performance may be
obtained by the creation of more complex models. Consideration about the method of
optimisation used to create the models is also required to ensure that it coincides with the
goals of the users.
Keywords: hospital beds, occupancy, length of stay, modelling, prediction
Mark Mackay BSc(Hons) BEc BComm
PhD Candidate, Department of Psychology
University of Adelaide
Principal Project Officer
Department of Human Services
Ph: 61 8 8463 6130
Fax: 61 8 8226 8910
Dr Michael Lee BSc(Ma) BA(Hons) Grad Dip Ed PhD
Department of Psychology
University of Adelaide
Ph: 61 8 8303 6096
Fax: 61 8 8303 3770
Compartmental models of hospital bed occupancy and choice of data
In recent years the Australian public... [continues]
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(2008, 10). Compartimental Models to Predict Hospital Bed Utilisation. StudyMode.com. Retrieved 10, 2008, from http://www.studymode.com/essays/Compartimental-Models-Predict-Hospital-Bed-Utilisation-167773.html
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