Summary
This applied ergonomics study (2022) investigated determinants of clinician uptake of an AI-based blood utilisation calculator, focusing on how risk perception, performance expectancy, and trust influence adoption intent. The research contributes to understanding psychological and organisational barriers and facilitators to clinical AI implementation. Whilst focused on healthcare IT rather than agricultural or nutritional systems, the study's framework may inform design and implementation strategies for clinical decision-support tools relevant to dietary assessment or clinical nutrition practice.
UK applicability
Findings may be applicable to UK NHS and private healthcare settings where clinical AI adoption is expanding, particularly for understanding barriers to uptake among UK clinicians. However, the study's focus on a specific blood calculator limits direct transferability to agricultural or food systems contexts.
Key measures
Risk perception, performance expectancy, trust in AI system, adoption intent (as suggested by title and applied ergonomics focus)
Outcomes reported
The study measured clinicians' intent to adopt an AI-based blood utilisation calculator, examining how risk perception, performance expectancy, and trust influence adoption decisions. Outcomes likely included quantified adoption intention scores and correlations between psychological determinants and intent to use the system.
Topic tags
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