IDEAS home Printed from https://ideas.repec.org/p/iim/iimawp/wp01924.html
   My bibliography  Save this paper

On the Optimal Staffing of Surgeons and Efficient Scheduling of Surgeries at a High-Volume Eye Hospital

Author

Listed:
  • Desai Tejas A

Abstract

It is well-known that the demand for services at many if not all hospitals is variable over a given year such that the demand is significantly higher in some months compared to the rest of the months in any given year. This is especially true for surgical departments at many hospitals. Therefore, it is a challenge to staff the surgical departments in such a way that the demand for surgeries throughout a year is met without creating significant over- or under-staffing at any point in a given year. In other words, an optimal level of staffing is sought so that the staff is not significantly over- or under- utilized at any point in a given year. In this paper, we consider an algorithmic approach of arriving at such an optimal level of staffing given some practical constraints. We apply this approach to the surgery department of the paying section of the Aravind Eye Hospital in Madurai, India.

Suggested Citation

  • Desai Tejas A, 2005. "On the Optimal Staffing of Surgeons and Efficient Scheduling of Surgeries at a High-Volume Eye Hospital," IIMA Working Papers WP2005-12-06, Indian Institute of Management Ahmedabad, Research and Publication Department.
  • Handle: RePEc:iim:iimawp:wp01924
    as

    Download full text from publisher

    File URL: https://www.iima.ac.in/sites/default/files/rnpfiles/2005-12-06tdesai.pdf
    File Function: English Version
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:iim:iimawp:wp01924. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/eciimin.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.