Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme
Authors' conclusion
Limited understanding of AI was a barrier to acceptance. Educating diverse PLD groups and HCP about AI's accuracy and reliability is crucial to building trust and facilitating its integration into screening practices.
Study context
- Population
- People living with diabetes and healthcare practitioners in the English NHS Diabetic Eye Screening Programme; surveys distributed via Diabetic Eye Screening Programme (DESP) centres, charities and the British Association of Retinal Screenersfree-text commenters
- Participants
- 387 vs 98
- Exposure
- PLD vs Healthcare Practitioners (HCP)
- PLDn = 387
- HCPn = 98
- Outcome
- Perceptions towards the introduction of AI in DESP
Methodological detailsonline surveys, co-developed with PLD and HCP, free-text responses analysed with coding framework, Surveys validated through interviews across three centres
- Online surveys
- Co-developed with PLD and HCP
- Free-text responses analysed with coding framework
- Surveys validated through interviews across three centres
Main finding
As reported in the abstract
Perceptions of AI in DESP (free-text themes)
Observational data: associations, not effects.
Original publication
Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme. Diabetes Res Clin Pract. Published 19 December 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →