IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i2id1395.html

Real-Time Automation in Patient Support Programs: An Event-Driven Cloud Framework for Biopharmaceutical Patient Care

Author

Listed:
  • Vineel Muppa

Abstract

This article examines the strategic implementation of cloud technologies and Event-Driven Architecture (EDA) to revolutionize Patient Support Programs (PSPs) within the biopharmaceutical industry. The article documents how a leading biopharmaceutical company addressed critical challenges in patient enrollment, benefit verification, and medication adherence through an innovative event-driven framework. The implementation leveraged OCR-powered data extraction, AI-driven adverse event detection, sentiment analysis for personalized support, and connected monitoring devices to enable real-time interventions. Results demonstrate significant improvements in operational efficiency, reduced administrative delays, enhanced patient engagement, and strengthened regulatory compliance. The automated workflows for co-pay enrollments and financial assistance approvals particularly impacted therapy access timeframes. This case highlights how event-driven cloud solutions can transform traditional PSPs into scalable, intelligent systems that improve both patient outcomes and healthcare-provider collaboration. The article contributes valuable insights for biopharmaceutical organizations seeking to modernize patient support services through integrated technology frameworks.

Suggested Citation

  • Vineel Muppa, 2025. "Real-Time Automation in Patient Support Programs: An Event-Driven Cloud Framework for Biopharmaceutical Patient Care," 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 3512-3523, March.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1395
    DOI: 10.32628/CSEIT25112808
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112808
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT25112808
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT25112808/CSEIT25112808
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT25112808?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:1395. 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.