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Analysis of the emergency service applying the queueing theory

Author

Listed:
  • Gustavo Ramiro Rodríguez Jáuregui

    (Instituto Tecnológico de Celaya, México)

  • Ana Karen González Pérez

    (Instituto Tecnológico de Celaya, México)

  • Salvador Hernández González

    (Instituto Tecnológico de Celaya, México)

  • Manuel Darío Hernández Ripalda

    (Instituto Tecnológico de Celaya, México)

Abstract

Those responsible for the decision-making in hospitals are becoming more aware of the need to efficiently manage hospital systems. One option is the queueing models. In this work, the Emergency service of a public hospital is analyzed by applying the concepts and relations of queues. Based on the results of the model, it is concluded that the Emergency area does not count with the minimum number of doctors necessary for a constant flow of patients. The minimum number of doctors necessary to satisfy the current and future service demand, with the same service times and service disciplines, is calculated using the model. The analytical models allow to directly understand the existing relations between service demand, number of doctors and the attention priority of the patient seen as a system of queues. The work is of use to managers and those responsible for the management of hospital systems.

Suggested Citation

  • Gustavo Ramiro Rodríguez Jáuregui & Ana Karen González Pérez & Salvador Hernández González & Manuel Darío Hernández Ripalda, 2017. "Analysis of the emergency service applying the queueing theory," Contaduría y Administración, Accounting and Management, vol. 62(3), pages 733-745, Julio-Sep.
    • Handle: RePEc:nax:conyad:v:62:y:2017:i:3:p:733-745
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    References listed on IDEAS

    as
    1. Galit B. Yom-Tov & Avishai Mandelbaum, 2014. "Erlang-R: A Time-Varying Queue with Reentrant Customers, in Support of Healthcare Staffing," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 283-299, May.
    2. Ward Whitt, 1999. "Partitioning Customers into Service Groups," Management Science, INFORMS, vol. 45(11), pages 1579-1592, November.
    3. Arnoud Bruin & A. Rossum & M. Visser & G. Koole, 2007. "Modeling the emergency cardiac in-patient flow: an application of queuing theory," Health Care Management Science, Springer, vol. 10(2), pages 125-137, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Hospital systems; Hospitals; Emergencies; Management; Queueing theory; Cycle time;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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