IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v23y1993i4p12-20.html
   My bibliography  Save this article

Assessing the Severity of Patients' Illnesses to Better Manage Health Care Resources

Author

Listed:
  • Phoebe D. Sharkey

    (Department of Information Systems and Decision Sciences, Sellinger School of Business and Management, Loyola College, Baltimore, Maryland 21210)

  • Michael J. DeHaemer

    (Department of Information Systems and Decision Sciences, Sellinger School of Business and Management, Loyola College, Baltimore, Maryland 21210)

  • Laurette Poulos Simmons

    (Department of Information Systems and Decision Sciences, Sellinger School of Business and Management, Loyola College, Baltimore, Maryland 21210)

  • Susan D. Horn

    (Intermountain Health Care, IHC Institute for Health Care Delivery Research, 36 South State, Salt Lake City, Utah 84111)

Abstract

The computerized severity index (CSI) system, an intelligent decision support system (DSS), is now used as a management tool at a growing number of hospitals in the US and Canada. The CSI expertly determines the severity level of a patient's illness and enables hospital management to more effectively evaluate the utilization of health care resources and the outcome of treatments. We developed CSI methodology as a complement to the diagnosis related groups (DRG) system that is mandated by federal law. While DRGs enable reimbursement agencies to classify patients into groups by type of illness and define hospitals' products, health care managers need a more refined classification system to compare the quality and economic efficiency of different treatment protocols, different physicians, and different hospitals.

Suggested Citation

  • Phoebe D. Sharkey & Michael J. DeHaemer & Laurette Poulos Simmons & Susan D. Horn, 1993. "Assessing the Severity of Patients' Illnesses to Better Manage Health Care Resources," Interfaces, INFORMS, vol. 23(4), pages 12-20, August.
    • Handle: RePEc:inm:orinte:v:23:y:1993:i:4:p:12-20
    DOI: 10.1287/inte.23.4.12
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.23.4.12
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.23.4.12?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
    ---><---

    More about this item

    Keywords

    ;
    ;

    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:orinte:v:23:y:1993:i:4:p:12-20. 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.