IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05563830.html

AI Analytics in Enhancing Patient-Centered Care Through Wearables: A Cross-Country Analysis

Author

Listed:
  • Ransome Bawack

    (Audencia Business School)

  • Denis Dennehy
  • Caleb Amankwaa Kumi
  • Will Boutchouang

Abstract

This study explores the impact of Artificial Intelligence Analytics (AIA) capability, supported by wearable technology, on patient-centered care in the healthcare systems of low- and middle-income countries (LMICs). Focusing on Cameroon and Ghana, a cross-country survey assessed how these digital health tools influence perceptions of effective patient-professional communication, empathy, patient involvement, and access to essential healthcare. Using big data analytics capability theory adapted to healthcare and structural equation modeling, the findings reveal that AIA capability significantly improves perceptions of patient-centered care, particularly regarding communication and empathy, with differences between the two countries. Although eHealth literacy enhances positive perceptions of care, it does not significantly moderate the relationship between AIA capability and patient-centered care. This study highlights the importance of context-specific approaches in adopting wearable health devices in LMICs and adds to the growing literature on AI-powered wearables in underrepresented regions.

Suggested Citation

  • Ransome Bawack & Denis Dennehy & Caleb Amankwaa Kumi & Will Boutchouang, 2025. "AI Analytics in Enhancing Patient-Centered Care Through Wearables: A Cross-Country Analysis," Post-Print hal-05563830, HAL.
    • Handle: RePEc:hal:journl:hal-05563830
    DOI: 10.1007/s10796-025-10657-4
    Note: View the original document on HAL open archive server: https://hal.science/hal-05563830v2
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05563830v2/document
    Download Restriction: no
    File URL: https://libkey.io/10.1007/s10796-025-10657-4?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:hal:journl:hal-05563830. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.