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Bachelor’s Thesis : AI as a doctor, an analysis of the influence of AI implementation in the medical field.

Vredenburg, Tijmen Matthijs Arthur (2025) Bachelor’s Thesis : AI as a doctor, an analysis of the influence of AI implementation in the medical field.

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Abstract:Artificial Intelligence (AI) is rapidly entering healthcare, raising questions about its influence on the skills and competencies of medical specialists and considerations for its adoption in clinical settings. Research Question 1 asked: “How do medical specialists perceive the influence of AI on the Skills and Competencies required for their profession?” Research Question 2 asked: “How do perceptions of those Skills and Competencies, expected AI-driven changes to CanMEDS facets, and satisfaction of SDT needs shape willingness to adopt AI?” A sequential exploratory mixed-methods design interviewed 20 Dutch specialists, then surveyed 35 others. The survey measured three independent variables, namely SDT needs (autonomy, competence, relatedness), views Skills & Competencies, and expected AI-driven changes to the seven CanMEDS facets against one dependent variable, willingness to adopt AI, via multiple linear regression. Qualitatively, 5 themes with 12 sub themes emerged with specialists welcoming AI that speeds work but resisting tools that obscure or supplant core knowledge. Quantitatively, stronger views on skills and competences predicted greater willingness to adopt AI (β≈.05, p=.002). Competence added a small positive effect (β≈.18, p=.013), while autonomy and relatedness were non-significant. Expecting AI to change many CanMEDS facets did not predict willingness to adopt AI, although anticipating alterations to the Knowledge/Science facet specifically decreased it (β≈–.62, p=.009). Adoption depends less on generic tech optimism than on “Capability Assurance,” the requirement that AI will support rather than erode specialist’s ability to practise safely and capably. Implementations that preserve decision autonomy, make algorithmic reasoning transparent, and frame AI as a skill extender are most likely to gain specialist trust. Therefore, future work could validate the custom Skills and Competencies scale and test capability assurance in larger, multi-centre samples.
Item Type:Essay (Bachelor)
Clients:
Saxion University of applied sciences, Enschede, Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology BSc (56604)
Link to this item:https://purl.utwente.nl/essays/107304
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