Health and Care
How can patients, citizens and healthcare professionals meaningfully shape the AI systems increasingly becoming part of health and care? AI is rapidly transforming healthcare through clinical decision support, digital services, personalised medicine and AI-enabled patient applications. Yet many of these technologies are designed for people rather than with them.
This challenge explores how citizen-centred approaches can help ensure that future health AI is trusted, inclusive, equitable and shaped by those who use it.
Indicative potential partners
Health Innovation North East and North CumbriaNHS Business Services Authority
NHS Digital
NHS North East and North Cumbria
Illustrative research directions
- Participatory design of AI-enabled NHS services
- Patient agency and control over health AI
- AI for self-management and long-term conditions
- Trust, explainability and transparency in healthcare AI
- Accessibility and health inequalities
- AI governance in health and care
- Citizen involvement in evaluating health AI
- Robots that support ageing-in-place
Indicative reading
The NHS App should focus on inequalities to improve population health
2026. Journal of the Royal Society of Medicine, 119(2), pp.37-41. doi:10.1177/01410768261421427
Artificial intelligence in healthcare: past, present and future
2017. Stroke and vascular neurology, 2(4), 230-243. doi:10.1136/svn-2017-000101
From efficiency to meaning: Adolescents’ envisioned role of AI in health management
Apr 2026. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (pp. 1-18). doi:10.1145/3772318.3790498
Robots in aged care: a dystopian future?
2016. AI & society, 31(4), pp.445-454. doi:10.1007/s00146-015-0625-4
Redefining Elderly Care With Agentic AI: Challenges and Opportunities
2026. IEEE Open Journal of the Computer Society, vol. 7, pp. 326-342. doi:10.1109/ojcs.2026.3650842
If you are applying to join the CCAI programme, and have difficulty accessing any of the papers above, please contact us.