IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v33y1987i1p73-85.html
   My bibliography  Save this article

A Methodology for Determining a Hospital's Expected Costs for Changes in Patient Load and Service Mix

Author

Listed:
  • Peter Duchessi

    (School of Business, State University of New York, Albany, New York 12222)

Abstract

This paper describes a methodology that demonstrates how specific types of patient/cost data can be used to construct a model that predicts the expected increase or decrease in costs associated with a change in patient load, expansion of an existing patient service department, closure of an existing patient service department, or installation of a specific patient service department. Data from a group of New York State hospitals are used to illustrate the development of the model's components that produce cost estimates. A computer-based model is used to demonstrate the methodology's application to a specific hospital. Additionally, a number of program runs that simulate the cost impact of patient load and/or service mix changes are presented. Finally, the methodology's potential management and regulatory applications are discussed.

Suggested Citation

  • Peter Duchessi, 1987. "A Methodology for Determining a Hospital's Expected Costs for Changes in Patient Load and Service Mix," Management Science, INFORMS, vol. 33(1), pages 73-85, January.
  • Handle: RePEc:inm:ormnsc:v:33:y:1987:i:1:p:73-85
    DOI: 10.1287/mnsc.33.1.73
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.33.1.73
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.33.1.73?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
    ---><---

    Citations

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


    Cited by:

    1. Chowdhury, Sanjib & Miles, Grant, 2006. "Customer-induced uncertainty in predicting organizational design: Empirical evidence challenging the service versus manufacturing dichotomy," Journal of Business Research, Elsevier, vol. 59(1), pages 121-129, January.
    2. Cote, Murray J., 1999. "Patient flow and resource utilization in an outpatient clinic," Socio-Economic Planning Sciences, Elsevier, vol. 33(3), pages 231-245, September.
    3. Vikram Tiwari & H. Heese, 2009. "Specialization and competition in healthcare delivery networks," Health Care Management Science, Springer, vol. 12(3), pages 306-324, September.

    More about this item

    Keywords

    health care: hospitals; costing;

    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:inm:ormnsc:v:33:y:1987:i:1:p:73-85. 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.