Project 03
In development
AI and Healthcare Decision-Making
How clinical decisions are reshaped when predictive and decision-support systems enter consultation rooms, wards and referral pathways.
When machine recommendation meets clinical judgement, whose knowledge prevails — and what happens to responsibility?
- Why it matters
- Health systems are among the fastest adopters of AI and among the least forgiving contexts for unexamined assumptions about behaviour.
- Methods
- Clinical ethnographyPractitioner interviewsDecision-pathway mappingDocument and protocol analysis
- Findings
- Planned. Early scoping suggests overrides are rarely about disagreement with the output and often about protecting a relationship with the patient.
- Impact
- Practical guidance for deploying decision support without displacing the moral work of care.
- Future implications
- Collaboration with health services on implementation and evaluation design.