IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v10y1980i4p46-54.html
   My bibliography  Save this article

Maximizing Restitution for Erroneous Medical Payments When Auditing Samples

Author

Listed:
  • Karl W. Heiner

    (School of Management, Rensselaer Polytechnic Institute, Troy, New York 12181)

  • Owen Whitby

    (SwissRe Holding (N.A.) Inc., New York, New York 10017)

Abstract

In auditing of paid Medicaid claims, estimates of payments erroneously paid to providers are frequently based on statistical samples. When such procedures are used, hearing officers are often inclined to use the lower end of an interval estimate to determine restitution by a provider. In this paper, the advantages of estimating from large samples are weighed against the larger costs involved. A procedure for choosing a sample size that would maximize net recovery is proposed.

Suggested Citation

  • Karl W. Heiner & Owen Whitby, 1980. "Maximizing Restitution for Erroneous Medical Payments When Auditing Samples," Interfaces, INFORMS, vol. 10(4), pages 46-54, August.
  • Handle: RePEc:inm:orinte:v:10:y:1980:i:4:p:46-54
    DOI: 10.1287/inte.10.4.46
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.10.4.46
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.10.4.46?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: sampling; health care;

    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:10:y:1980:i:4:p:46-54. 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.