IDEAS home Printed from https://ideas.repec.org/a/taf/tjbaxx/v6y2023i1p1-18.html
   My bibliography  Save this article

The winding road of requesting healthcare data for analytics purposes: using the one-interview mental model method for improving services of health data governance and big data request processes

Author

Listed:
  • Kanupriya Singh
  • Isa Jahnke
  • Abu Mosa
  • Prasad Calyam

Abstract

Medical schools store large sets of patient data. The data is important for the analysis of trends and patterns in healthcare practice. However, obtaining access to the data can be problematic due to the data protection mechanisms. In this study, we investigate the current practices from the lens of both the data requester and the data provider. Results reveal discrepancies between how the provider organises the data governance process, how the process is presented to the data requester, and the data requester’s perception of satisfactory user experience. This study provides a simple one interview mental model method approach for data governance services to reveal potential problems in the process. This is a quick and effective method for data providers to help uncover the challenges and to provide foundations for future fully automated (human out of the loop) systems for data accessibility in healthcare organisations.

Suggested Citation

  • Kanupriya Singh & Isa Jahnke & Abu Mosa & Prasad Calyam, 2023. "The winding road of requesting healthcare data for analytics purposes: using the one-interview mental model method for improving services of health data governance and big data request processes," Journal of Business Analytics, Taylor & Francis Journals, vol. 6(1), pages 1-18, January.
    • Handle: RePEc:taf:tjbaxx:v:6:y:2023:i:1:p:1-18
    DOI: 10.1080/2573234X.2021.1992305
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/2573234X.2021.1992305
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/2573234X.2021.1992305?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:tjbaxx:v:6:y:2023:i:1:p:1-18. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjba .

    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.