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

Ransome Bawack (), Denis Dennehy, Caleb Amankwaa Kumi and Will Boutchouang
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Ransome Bawack: Audencia Business School

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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.

Keywords: Artificial Intelligence; analytics; wearable; patient-centered care; eHealth literacy; big data analytics capability (search for similar items in EconPapers)
Date: 2025-12
New Economics Papers: this item is included in nep-hea and nep-ict
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Published in Information Systems Frontiers, 2025, 27 (6), pp.2631-2649. ⟨10.1007/s10796-025-10657-4⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05563830

DOI: 10.1007/s10796-025-10657-4

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