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An Erlang-based stochastic model for patient flow

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  • Côté, Murray J.
  • Stein, William E.

Abstract

In this paper, an Erlang-based stochastic model for patient flow is presented. The model is proposed as an effective tool to obtain analytic results for the stochastic process of patient flow in a health care environment. Through the use of two previously published examples, it is shown that the stochastic model can be developed quickly, is not computationally intensive and provides a good representation of the empirical patient flow.

Suggested Citation

  • Côté, Murray J. & Stein, William E., 2000. "An Erlang-based stochastic model for patient flow," Omega, Elsevier, vol. 28(3), pages 347-359, June.
    • Handle: RePEc:eee:jomega:v:28:y:2000:i:3:p:347-359
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    References listed on IDEAS

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    1. Vandan Trivedi & Ira Moscovice & Richard Bass & John Brooks, 1987. "A Semi-Markov Model for Primary Health Care Manpower Supply Prediction," Management Science, INFORMS, vol. 33(2), pages 149-160, February.
    2. John E. Brennan & Bruce L. Golden & Harold K. Rappoport, 1992. "Go with the Flow: Improving Red Cross Bloodmobiles Using Simulation Analysis," Interfaces, INFORMS, vol. 22(5), pages 1-13, October.
    3. George T. Kastner & Richard H. Shachtman, 1982. "A Stochastic Model to Measure Patient Effects Stemming from Hospital-Acquired Infections," Operations Research, INFORMS, vol. 30(6), pages 1105-1133, December.
    4. Edward P. C. Kao, 1974. "Modeling the Movement of Coronary Patients within a Hospital by Semi-Markov Processes," Operations Research, INFORMS, vol. 22(4), pages 683-699, August.
    5. Elliott N. Weiss & Morris A. Cohen & John C. Hershey, 1982. "An Iterative Estimation and Validation Procedure for Specification of Semi-Markov Models with Application to Hospital Patient Flow," Operations Research, INFORMS, vol. 30(6), pages 1082-1104, December.
    6. Richard H. Shachtman & John R. Schoenfelder & Carol J. Hogue, 1981. "Using a Stochastic Model to Investigate Time to Absorption Distributions," Operations Research, INFORMS, vol. 29(3), pages 589-603, June.
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    Cited by:

    1. Yousry Abdelkader, 2004. "Computing the moments of order statistics from nonidentically distributed Erlang variables," Statistical Papers, Springer, vol. 45(4), pages 563-570, October.
    2. Almehdawe, Eman & Jewkes, Beth & He, Qi-Ming, 2016. "Analysis and optimization of an ambulance offload delay and allocation problem," Omega, Elsevier, vol. 65(C), pages 148-158.

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