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Análisis del servicio de Urgencias aplicando teoría de líneas de espera

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

Los responsables de la toma de decisiones de los hospitales son cada vez más conscientes de la necesidad de administrar de manera eficiente los sistemas hospitalarios. Una opción son los modelos de líneas de espera. En el presente trabajo se analiza el servicio del área de Urgencias de un hospital público aplicando los conceptos y relaciones de líneas de espera. A partir de los resultados del modelo se concluye que en el área de Urgencias no se cuenta con la cantidad mínima necesaria de médicos para permitir un flujo constante de pacientes. Con el modelo se calcula el número mínimo de médicos necesarios para satisfacer la demanda actual y futura de servicio, con los mismos tiempos de servicio y la misma disciplina de servicio. Los modelos analíticos permiten entender directamente las relaciones existentes entre demanda de servicio, número de médicos y prioridad de atención del paciente vistos como un sistema de líneas de espera. El trabajo es de utilidad para los administradores y responsables de la gestión de sistemas hospitalarios.

Suggested Citation

  • Gustavo Ramiro Rodríguez Jáuregui & Ana Karen González Pérez & Salvador Hernández González & Manuel Darío Hernández Ripalda, 2017. "Análisis del servicio de Urgencias aplicando teoría de líneas de espera," Contaduría y Administración, Accounting and Management, vol. 62(3), pages 719-732, Julio-Sep.
  • Handle: RePEc:nax:conyad:v:62:y:2017:i:3:p:719-732
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    File URL: http://www.cya.unam.mx/index.php/cya/article/view/942
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    References listed on IDEAS

    as
    1. Ward Whitt, 1999. "Partitioning Customers into Service Groups," Management Science, INFORMS, vol. 45(11), pages 1579-1592, November.
    2. 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.
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    More about this item

    Keywords

    Sistemas hospitalarios; Hospitales; Urgencias; Administración; Control; Teoría de líneas de espera; Tiempo de ciclo;

    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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