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Evaluating Canada's Position in AI Adoption for eHealth System: A Blended Wing for Future Research Directions

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  • Salman Kimiagari

    (Thompson Rivers University, Canada)

Abstract

This research examines the gaps in adopting and accepting artificial intelligence (AI) in eHealth systems and proposes potential strategies for successful implementation. This paper begins by providing an overview of AI in eHealth systems in Canada and outlines the systematic methodology employed in this review. Subsequently, a theory-driven research agenda is presented, followed by the concluding observations. To address prior research gaps and identify promising areas for integration, this study reviews the existing literature on AI in eHealth in Canada. As a new perspective and meaningful advancement, the current findings offer novel insights and groundbreaking research for the future of Canadian eHealth systems based on AI. Strategies, such as capacity-building partnerships (between countries with similar best practices and Canada) and cultural/ethical regulation improvements, can pave the way for AI's transformative role in improving e-healthcare outcomes, aligning with the United Nations' Sustainable Development Goals.

Suggested Citation

  • Salman Kimiagari, 2025. "Evaluating Canada's Position in AI Adoption for eHealth System: A Blended Wing for Future Research Directions," International Journal of Knowledge Management (IJKM), IGI Global Scientific Publishing, vol. 21(1), pages 1-60, January.
    • Handle: RePEc:igg:jkm000:v:21:y:2025:i:1:p:1-60
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