IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i1id718.html

Innovations in Healthcare Big Data Engineering: From Clinical Decision Support to Federated Learning

Author

Listed:
  • Jagan Mohana Rao Bonthu

Abstract

This comprehensive article review explores the transformative impact of big data engineering and analytics in healthcare, from clinical decision support systems to federated learning implementations. The article examines how artificial intelligence and machine learning technologies revolutionize healthcare delivery through enhanced diagnostic capabilities, real-time monitoring solutions, and precision medicine approaches. It shows the integration of advanced analytics in drug discovery and development processes, highlighting how these technologies accelerate research and improve treatment outcomes. The article also addresses critical security and privacy aspects in healthcare data management, particularly focusing on blockchain technology and federated learning applications. Through analysis of various technological implementations and their clinical impacts, this article demonstrates how big data engineering fundamentally reshapes healthcare delivery, enabling more personalized, efficient, and secure patient care while simultaneously addressing challenges in data privacy, system interoperability, and regulatory compliance.

Suggested Citation

  • Jagan Mohana Rao Bonthu, 2025. "Innovations in Healthcare Big Data Engineering: From Clinical Decision Support to Federated Learning," 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(1), pages 626-632, February.
  • Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:718
    DOI: 10.32628/CSEIT25111270
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25111270
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT25111270
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/home/article/download/CSEIT25111270/CSEIT25111270
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32628/CSEIT25111270?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:i1:id:718. 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.