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Data Analytics and Modeling Methods for Healthcare Service Systems

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Healthcare Service Management

Part of the book series: Health Information Science ((HIS))

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Abstract

In order to better utilize healthcare services and improve wait times, we should know what factors cause long waits. How do the factors affect the wait times? How can we estimate the changes in the wait times, taking into account the dynamics of patient arrivals as well as some impact factors? What strategies can be proposed to efficiently utilize healthcare service resources and thus shorten wait times? How can we characterize the dynamics of patient arrivals and wait times? These are common questions that have long been a concern in healthcare systems. This chapter reviews the commonly employed methods to address these questions.

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Notes

  1. 1.

    http://www.systemdynamics.org/. Last accessed on April 11, 2019.

  2. 2.

    http://www.cosmos-research.org/about.html. Last accessed on April 11, 2019.

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Authors and Affiliations

  1. Southwest University, Beibei, Chong Qing, China

    Li Tao

  2. Hong Kong Baptist University, Kowloon, Hong Kong

    Jiming Liu

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Tao, L., Liu, J. (2019). Data Analytics and Modeling Methods for Healthcare Service Systems. In: Healthcare Service Management . Health Information Science. Springer, Cham. https://doi.org/10.1007/978-3-030-15385-4_2

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  • DOI: https://doi.org/10.1007/978-3-030-15385-4_2

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