The Statistics of Hospital Admission Systems
J. F. Bithell
Journal of the Royal Statistical Society Series C, 1969, vol. 18, issue 2, 119-129
Abstract:
The paper presents two models for the study of hospital admission systems, based on the theory of Markov processes. In the first, for deterministic (“planned”) admissions, the dependence of occupancy variability on length of stay variability is examined and found to obey an approximate square root law. In the second, continuous appraisal of the current bed‐state takes place, on the basis of which new (waiting‐list) patients are scheduled. The variance of occupancy is found to be the sum of two components, representing the variability due to emergency admissions and that due to the unpredictability of discharges. The effect of patient assessment on the latter component is examined. The models are compared and their implications are discussed.
Date: 1969
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2307/2346254
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:18:y:1969:i:2:p:119-129
Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876
Access Statistics for this article
Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith
More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().