IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i2id1204.html

AI and the Future of Healthcare Work: Human-AI Collaboration in Medical Practice

Author

Listed:
  • Bhavyateja Potineni

Abstract

This article examines the transformative impact of artificial intelligence on healthcare workforce dynamics, exploring the dual pathways of automation and augmentation in medical practice. It analyzes how AI technologies are reshaping healthcare delivery across administrative, diagnostic, and clinical domains while identifying evolving professional competencies required in an AI-integrated environment. The discussion encompasses the differential displacement risks across healthcare professions, frameworks for effective workforce transition, and strategies for maintaining appropriate human oversight. The article further addresses educational adaptation needs for healthcare professionals and proposes policy imperatives to balance technological efficiency with professional wellbeing. Throughout, the article emphasizes that successful AI integration in healthcare depends not merely on technological implementation but on thoughtful workforce planning that preserves the human element in medicine while leveraging AI's capabilities to enhance healthcare delivery and outcomes.

Suggested Citation

  • Bhavyateja Potineni, 2025. "AI and the Future of Healthcare Work: Human-AI Collaboration in Medical Practice," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(2), pages 1372-1385, March.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1204
    DOI: 10.32628/CSEIT25112494
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112494
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT25112494
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT25112494/CSEIT25112494
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT25112494?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:jbh:ijsrcs:v11:y2025:i2:id:1204. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.