NDLI: A Semi-Markovian Population Model with Application to Hospital Planning

Content Provider	IEEE Xplore Digital Library
Author	Kao, Edward P. C.
Copyright Year	1971
Description	A semi-Markovian population model can be used to describe patient movements in a health-care delivery system. The recovery progress of a patient at any time is defined by one of a finite number of "states." The movement of a patient among the states is governed by a discrete-time semi-Markov process which is called a " path." The inputs to the system are various patient "groups." Each group is characterized by a distinct input distribution with known mean and variance. Assuming that the input distributions are relatively stable in the long run, estimates of the means and variances of steady-state census mix are derived. On a short-term basis, the model will accommodate daily fluctuations in input distributions and use an information vector, which summarizes the state of the system at the time of prediction, to improve the estimation. An illustrative example using field data is presented.
Starting Page	327
Ending Page	336
Page Count	10
File Size	2010979
File Format	PDF
ISSN	00189472
Volume Number	3
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1973-07-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hospitals Stochastic processes Steady-state Statistical distributions Predictive models Fluctuations State estimation Research and development Solid modeling Milling machines
Content Type	Text
Resource Type	Article
Subject	Engineering

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