IDEAS home Printed from https://ideas.repec.org/a/aza/mih000/y2024v8i2p117-123.html
   My bibliography  Save this article

Medical leadership and artificial intelligence: Hope or hype?

Author

Listed:
  • Austin, Jim

    (University of Pennsylvania; Brown University; JH Austin Associates, USA)

  • Napoli, Anthony

    (Brown University, USA)

  • O’Neil, Alan

    (Unity Medical Center, USA)

Abstract

Healthcare systems face unprecedented labour supply issues. In the United States, for example, it is estimated that 117,000 physicians left the workforce, while fewer than 40,000 joined it post-COVID. Many commentators point to artificial intelligence (AI) as the technological fix to reduce medical personnel ‘burnout’. We disagree. While AI has the potential to aid in medical decision making through its data integration capabilities, it should be seen as an adjunct to the medical care team. The larger the team and the more complex the world, the more important it is for the medical professionals to be skilled, transformational leaders. Thus, future medical leaders need more leadership development, not better analytic tools, especially in the areas of leading ‘horizontally’. Physicians are no longer just the tip of the spear in medical care but are the leaders of teams of individuals (including the patient) that make decisions by consensus. That team now includes AI as support, not ultimate decision making.

Suggested Citation

  • Austin, Jim & Napoli, Anthony & O’Neil, Alan, 2024. "Medical leadership and artificial intelligence: Hope or hype?," Management in Healthcare: A Peer-Reviewed Journal, Henry Stewart Publications, vol. 8(2), pages 117-123, December.
    • Handle: RePEc:aza:mih000:y:2024:v:8:i:2:p:117-123
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/8279/download/
    Download Restriction: Requires a paid subscription for full access.
    File URL: https://hstalks.com/article/8279/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

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

    More about this item

    Keywords

    AI; medical burnout; medical leadership development; future of medical leadership capabilities;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I10 - Health, Education, and Welfare - - Health - - - General

    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:aza:mih000:y:2024:v:8:i:2:p:117-123. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.