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Modeling Patient Flows Through the Healthcare System

In: Patient Flow: Reducing Delay in Healthcare Delivery

Author

Listed:
  • Randolph Hall

    (University of Southern California)

  • David Belson

    (University of Southern California)

  • Pavan Murali

    (University of Southern California)

  • Maged Dessouky

    (University of Southern California)

Abstract

The system of health care can be evaluated from four perspectives: macro, regional, center, and department. In each case, reduction of patient delay depends on improving interfaces as patients are transferred from activity to activity or department to department. This chapter presents basic tools for resolving delays at interfaces, through mapping the processes by which patients are served, and by developing and implementing measures of system performance. These tools are demonstrated through a case study of the Los Angeles County/University of Southern California Hospital.

Suggested Citation

  • Randolph Hall & David Belson & Pavan Murali & Maged Dessouky, 2006. "Modeling Patient Flows Through the Healthcare System," International Series in Operations Research & Management Science, in: Randolph W. Hall (ed.), Patient Flow: Reducing Delay in Healthcare Delivery, chapter 0, pages 1-44, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-33636-7_1
    DOI: 10.1007/978-0-387-33636-7_1
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    Citations

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    Cited by:

    1. Matthew Gombolay & Toni Golen & Neel Shah & Julie Shah, 2019. "Queueing theoretic analysis of labor and delivery," Health Care Management Science, Springer, vol. 22(1), pages 16-33, March.
    2. Mahar, Stephen & Bretthauer, Kurt M. & Salzarulo, Peter A., 2011. "Locating specialized service capacity in a multi-hospital network," European Journal of Operational Research, Elsevier, vol. 212(3), pages 596-605, August.
    3. Jingui Xie & Weifen Zhuang & Marcus Ang & Mabel C. Chou & Li Luo & David D. Yao, 2021. "Analytics for Hospital Resource Planning—Two Case Studies," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1863-1885, June.
    4. Thomas Hanne & Teresa Melo & Stefan Nickel, 2009. "Bringing Robustness to Patient Flow Management Through Optimized Patient Transports in Hospitals," Interfaces, INFORMS, vol. 39(3), pages 241-255, June.
    5. Pengyi Shi & Mabel C. Chou & J. G. Dai & Ding Ding & Joe Sim, 2016. "Models and Insights for Hospital Inpatient Operations: Time-Dependent ED Boarding Time," Management Science, INFORMS, vol. 62(1), pages 1-28, January.
    6. Jing Dong & Ohad Perry, 2020. "Queueing Models for Patient-Flow Dynamics in Inpatient Wards," Operations Research, INFORMS, vol. 68(1), pages 250-275, January.
    7. Sam Afrane & Alex Appah, 2014. "Queuing theory and the management of Waiting-time in Hospitals: The case of Anglo Gold Ashanti Hospital in Ghana," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(2), pages 34-44, February.

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