IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-1-4614-5885-2_3.html
   My bibliography  Save this book chapter

Applications of Agent-Based Modeling and Simulation to Healthcare Operations Management

In: Handbook of Healthcare Operations Management

Author

Listed:
  • Sean Barnes

    (University of Maryland)

  • Bruce Golden

    (University of Maryland)

  • Stuart Price

    (University of Maryland)

Abstract

Agent-based modeling (ABM) is rapidly gaining momentum in many fields, and it has added to the insights previously contributed by other modeling and simulation methods such as system dynamics and discrete event simulation. Healthcare operations management is one field that is particularly well-suited for ABM because it involves many individuals that interact in different ways. ABM is capable of explicitly modeling these individuals and the interactions among them, which facilitates the discovery of system behavior that cannot be observed using other methods. ABM has been applied successfully to several focus areas within the field of healthcare operations management, including, but not limited to: healthcare delivery, epidemiology, economics, and policy. In this chapter, we review and evaluate a selected body of research in which agent-based modeling and simulation techniques are applied to problems in healthcare. We also highlight specific areas where agent-based modeling and simulation filled a significant gap that was not addressed previously by other methods. Finally, we propose some new questions in the field which may be of interest moving forward.

Suggested Citation

  • Sean Barnes & Bruce Golden & Stuart Price, 2013. "Applications of Agent-Based Modeling and Simulation to Healthcare Operations Management," International Series in Operations Research & Management Science, in: Brian T. Denton (ed.), Handbook of Healthcare Operations Management, edition 127, chapter 0, pages 45-74, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-5885-2_3
    DOI: 10.1007/978-1-4614-5885-2_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hideaki Takagi & Yuta Kanai & Kazuo Misue, 2017. "Queueing network model for obstetric patient flow in a hospital," Health Care Management Science, Springer, vol. 20(3), pages 433-451, September.
    2. Irena Ali & Mathew Zuparic & Iain Macleod & Phuong La & Yi Yue, 2017. "Complex socio-organisational phenomena and ill-defined problem spaces: a multi-method approach to the rescue," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 919-934, August.
    3. Verónica Duque-Uribe & William Sarache & Elena Valentina Gutiérrez, 2019. "Sustainable Supply Chain Management Practices and Sustainable Performance in Hospitals: A Systematic Review and Integrative Framework," Sustainability, MDPI, vol. 11(21), pages 1-30, October.
    4. Muge Capan & Anahita Khojandi & Brian T. Denton & Kimberly D. Williams & Turgay Ayer & Jagpreet Chhatwal & Murat Kurt & Jennifer Mason Lobo & Mark S. Roberts & Greg Zaric & Shengfan Zhang & J. Sanford, 2017. "From Data to Improved Decisions: Operations Research in Healthcare Delivery," Medical Decision Making, , vol. 37(8), pages 849-859, November.
    5. Mário Amorim Lopes & Álvaro Santos Almeida & Bernardo Almada-Lobo, 2018. "Forecasting the medical workforce: a stochastic agent-based simulation approach," Health Care Management Science, Springer, vol. 21(1), pages 52-75, March.
    6. Martin Comis & Catherine Cleophas & Christina Büsing, 2021. "Patients, primary care, and policy: Agent-based simulation modeling for health care decision support," Health Care Management Science, Springer, vol. 24(4), pages 799-826, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isochp:978-1-4614-5885-2_3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.