IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0213373.html
   My bibliography  Save this article

Clinical decision support for high-cost imaging: A randomized clinical trial

Author

Listed:
  • Joseph Doyle
  • Sarah Abraham
  • Laura Feeney
  • Sarah Reimer
  • Amy Finkelstein

Abstract

There is widespread concern over the health risks and healthcare costs from potentially inappropriate high-cost imaging. As a result, the Centers for Medicare and Medicaid Services (CMS) will soon require high-cost imaging orders to be accompanied by Clinical Decision Support (CDS): software that provides appropriateness information at the time orders are placed via a best practice alert for targeted (i.e. likely inappropriate) imaging orders, although the impacts of CDS in this context are unclear. In this randomized trial of 3,511 healthcare providers at Aurora Health Care, we study the impacts of CDS on the ordering behavior of providers. We find that CDS reduced targeted imaging orders by a statistically significant 6%, however there was no statistically significant change in the total number of high-cost scans or of low-cost scans. The results suggest that the impending CMS mandate requiring healthcare systems to adopt CDS may modestly increase the appropriateness of high-cost imaging.

Suggested Citation

  • Joseph Doyle & Sarah Abraham & Laura Feeney & Sarah Reimer & Amy Finkelstein, 2019. "Clinical decision support for high-cost imaging: A randomized clinical trial," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-13, March.
  • Handle: RePEc:plo:pone00:0213373
    DOI: 10.1371/journal.pone.0213373
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0213373
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0213373&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0213373?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. Ari Bronsoler & Joseph Doyle & John Van Reenen, 2021. "The impact of healthcare IT on clinical quality, productivity and workers," CEP Discussion Papers dp1801, Centre for Economic Performance, LSE.
    2. Madhu Mazumdar & Jashvant V. Poeran & Bart S. Ferket & Nicole Zubizarreta & Parul Agarwal & Ksenia Gorbenko & Catherine K. Craven & Xiaobo (Tony) Zhong & Alan J. Moskowitz & Annetine C. Gelijns & Davi, 2021. "Developing an Institute for Health Care Delivery Science: successes, challenges, and solutions in the first five years," Health Care Management Science, Springer, vol. 24(1), pages 234-243, March.

    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:plo:pone00:0213373. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.