IDEAS home Printed from https://ideas.repec.org/a/alk/jcsts0/v7y2025i2id9239.html

Creating Equitable Digital Healthcare: The Role of Content Platform Engineering in UI Optimization

Author

Listed:
  • Prerna Ramachandra

    (Yahoo Inc., USA)

Abstract

This article examines how healthcare providers and health technology firms can optimize user interfaces for accessibility, ensuring that elderly and disabled patients can navigate telemedicine services effectively. The rapid digitization of healthcare, accelerated by the pandemic, has created both opportunities and barriers for vulnerable populations. While telehealth eliminates geographic and transportation limitations, poorly designed interfaces can erect new obstacles. Content platform engineering offers promising solutions through structured content models, adaptive delivery systems, and multimodal interaction patterns. The article explores technical foundations of accessible healthcare interfaces including semantic HTML architecture, progressive enhancement strategies, and ARIA implementation for dynamic content. It presents implementation strategies for addressing visual impairments, motor control limitations, and cognitive accessibility needs, along with frameworks for measuring success. A case study of Memorial Health System demonstrates how accessibility redesign can simultaneously improve patient outcomes and organizational efficiency. Future directions in healthcare accessibility include AI-driven personalization, biometric adaptation, and voice-first interface paradigms that further reduce barriers to equitable care access.

Suggested Citation

  • Prerna Ramachandra, 2025. "Creating Equitable Digital Healthcare: The Role of Content Platform Engineering in UI Optimization," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(2), pages 436-446, March.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:2:id:9239
    DOI: 10.32996/jcsts.2025.7.2.45
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jcsts/article/view/9239
    File Function: Abstract page
    Download Restriction: no
    File URL: https://al-kindipublisher.com/index.php/jcsts/article/download/9239/7903
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32996/jcsts.2025.7.2.45?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:alk:jcsts0:v:7:y:2025:i:2:id:9239. 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: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jcsts .

    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.