Focus of Assessment
Evaluation of user interface design and usability
Assessment of interpretability and clarity of AI outputs
Review of cognitive load, trust calibration, and user reliance
Identification of misuse or over-reliance risks
Review of training and user support needs
Governance Value
Safer clinician-AI interaction
Reduced risk of human error linked to poor AI design
Improved clinician understanding and appropriate use of AI outputs
Better trust calibration between humans and AI
Enhanced adoption and real-world effectiveness
All assessments are delivered through a socio-technical lens, considering data, models, people, workflows, and governance together.
Focus of Assessment
Evaluation of user interface design and usability
Assessment of interpretability and clarity of AI outputs
Review of cognitive load, trust calibration, and user reliance
Identification of misuse or over-reliance risks
Review of training and user support needs
Governance Value
Safer clinician-AI interaction
Reduced risk of human error linked to poor AI design
Improved clinician understanding and appropriate use of AI outputs
Better trust calibration between humans and AI
Enhanced adoption and real-world effectiveness
All assessments are delivered through a socio-technical lens, considering data, models, people, workflows, and governance together.