University of Twente Student Theses


Barriers to the adoption of artificial intelligence in medical diagnosis: procurement perspective

Dellink, Rick (2023) Barriers to the adoption of artificial intelligence in medical diagnosis: procurement perspective.

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Abstract:Using the Technology Acceptance Model and the Theory of Planned Behavior, this study aims to identify adoption barriers to the implementation of artificial intelligence in medical diagnosis. Eight semi-structured interviews with stakeholders were conducted as part of a qualitative case study in Dutch hospitals. According to the findings of this study, perceived barriers influence stakeholder intentions to use artificial intelligence in medical diagnosis. Adoption intention is influenced by factors such as perceived usefulness, attitude, subjective norms, and perceived behavioral control, which can be positive or negative. For example, perceived usefulness increases when work efficiency or quality improves, but decreases when there are significant potential risks associated with implementing AI. If there is a positive attitude or positive subjective norms, this influences the intention to adopt AI positively. For example, if key stakeholders have a positive attitude, it can act as a motivator because they have a greater influence on the implementation process than other stakeholders. Knowledge and expertise, data availability, ethical considerations, the business case for AI, physician resistance to change, and life-cycle management were discovered to be barriers that influence intention.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:Business Administration MSc (60644)
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