IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v54y2024i2p188-204.html
   My bibliography  Save this article

A Simulation Study for a Safe Reopening and Operation of the Trager Institute Optimal Aging Clinic During the COVID-19 Pandemic

Author

Listed:
  • Shahab Sadri

    (Department of Industrial Engineering, University of Louisville, Louisville, Kentucky 40223)

  • Arsalan Paleshi

    (Graham School of Business, York College of Pennsylvania, York, Pennsylvania 17403)

  • Lihui Bai

    (Department of Industrial Engineering, University of Louisville, Louisville, Kentucky 40223)

  • Monica Gentili

    (Department of Industrial Engineering, University of Louisville, Louisville, Kentucky 40223)

Abstract

In this study, we develop a discrete-event simulation model to aid the Trager Institute, an outpatient clinic for optimal aging located in Louisville, Kentucky, in determining their safe reopening strategies during the COVID-19 pandemic and operational strategies beyond the pandemic. The model studies the movement of several groups of people (e.g., healthcare providers, navigators, patients, staff) and the operations of the clinic’s primary and ancillary services. The main objective is to ensure that the clinic operates safely while COVID-19 restrictions are in place and to improve its providers’ utilization rate. The model simulates people’s movement in the clinic, monitors the congestion level in four common areas, and identifies the peak hours during a day. We also study various overbooking and telehealth policies to overcome high cancelation or no-show rates and low utilization for providers. Simulation results using AnyLogic have helped the management decide to reopen the in-person services during the COVID-19 pandemic based on the safe congestion level demonstrated by the simulation. Insights on optimal overbooking and telehealth policies can shed a broader light on other healthcare organizations.

Suggested Citation

  • Shahab Sadri & Arsalan Paleshi & Lihui Bai & Monica Gentili, 2024. "A Simulation Study for a Safe Reopening and Operation of the Trager Institute Optimal Aging Clinic During the COVID-19 Pandemic," Interfaces, INFORMS, vol. 54(2), pages 188-204, March.
  • Handle: RePEc:inm:orinte:v:54:y:2024:i:2:p:188-204
    DOI: 10.1287/inte.2022.0032
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.2022.0032
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.2022.0032?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:inm:orinte:v:54:y:2024:i:2:p:188-204. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.