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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
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    References listed on IDEAS

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