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Comprendre l'acceptabilité de l'IA auprès des médecins généralistes

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  • Mehdi Berrahou

    (LEST - Laboratoire d'Economie et de Sociologie du Travail - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique)

Abstract

Cet article examine l'acceptabilité de l'intelligence artificielle (IA) par les médecins généralistes, particulièrement dans le dépistage précoce des maladies neurodégénératives. À travers une enquête qualitative comprenant neuf entretiens semi-directifs avec des médecins, des internes et un concepteur d'IA, l'étude révèle que les généralistes perçoivent l'IA de manière limitée et ambivalente. Les affordances perçues, à la fois positives et négatives, créent des contradictions influençant son acceptabilité, touchant principalement l'identité professionnelle et l'efficacité des pratiques. L'étude recommande d'impliquer les professionnels de santé dans le développement des solutions d'IA et d'améliorer leur formation technique. Cette recherche en sciences de gestion enrichit la compréhension des dynamiques d'acceptabilité de l'IA en médecine générale et propose un cadre théorique original pour analyser l'intégration de l'IA dans la pratique médicale. Mots clésIntelligence artificielle (IA) ; médecins généralistes ; perceptions d'usage ; étude qualitative ; acceptabilité

Suggested Citation

  • Mehdi Berrahou, 2024. "Comprendre l'acceptabilité de l'IA auprès des médecins généralistes," Post-Print halshs-05126114, HAL.
    • Handle: RePEc:hal:journl:halshs-05126114
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-05126114v1
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    References listed on IDEAS

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    1. Raffaele Fabio Ciriello & Alexander Richter & Gerhard Schwabe, 2019. "The paradoxical effects of digital artefacts on innovation practices," European Journal of Information Systems, Taylor & Francis Journals, vol. 28(2), pages 149-172, March.
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