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R - Dissertações de Mestrado / Master Dissertations

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Browsing R - Dissertações de Mestrado / Master Dissertations by Author "Abdallah, Aya Ben"

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  • French patient perception of the use of AI technologies in primary care consultations
    Publication . Abdallah, Aya Ben; Duricin, Boris; Rajsingh, Peter
    This study examined French patients’ perception of the use of artificial intelligence (AI) technologies in primary care consultations, analyzing the factors that influence acceptance and resistance. In an environment such as healthcare where stakes are high and errors can lead to significant consequences, AI technologies must be carefully implemented. While they promise enhanced efficiency, more accurate diagnosis and reduced healthcare disparities, their successful adoption depends on patients’ trust and willingness to accept such systems. Grounded in the Technology Acceptance Model (TAM), Unified Theory and Use of Technology (UTAUT), and risk-based theories, this research investigated how perceived risks and benefits, ethical concerns and sociodemographic factors shape patients attitudes toward AI technologies in primary care consultations. A quantitative survey of 188 participants assessed perceptions across four different dimensions: (1) demographics and AI familiarity, (2) patient-doctor relationship, (3) perceived benefits of AI, and (4) concerns about risks and ethics. The exploratory factor analysis identified two key constructs: Acceptance measuring openness and Fear_Risk evaluating apprehension that significantly influenced trust toward AI usage for health diagnostics. The results revealed that patients who viewed AI as beneficial for improving health diagnosis and reducing physicians’ workload were more likely to accept its use, while those who fear technical errors and data misuse were more reluctant to its adoption. Notably, prior experience with AI tools did not prove significant correlation with higher acceptance, suggesting domain-specific trust barriers. By prioritizing transparency, addressing ethical concerns through robust governance and design hybrid human-AI systems, stakeholders might foster greater adoption.
    2025-06-27Master thesis Open access Show more