Evaluation of AI in Chest Diagnostics: patient & carer experience
Research type
Research Study
Full title
Mixed-methods Evaluation of Artificial Intelligence in Chest Diagnostics (Phase 2): Patient and Carer Experience
IRAS ID
355152
Contact name
Angus I. G. Ramsay
Contact email
Sponsor organisation
University College London
Duration of Study in the UK
0 years, 8 months, 31 days
Research summary
In June 2023, NHS England announced the Artificial Intelligence Diagnostic Fund (AIDF), which is funding 12 imaging networks of NHS Trusts across England to implement AI for chest diagnostics in 2024. Phase 1 of the evaluation led by NIHR RSET provided insights into the early implementation of these tools and developed a framework for monitoring and evaluation of AI tools for chest diagnostics in practice. However, there is limited evidence on implementation and use of AI in real-world settings, including staff experiences, patient and carer experience, effectiveness, and costs.
This component of the research aims to explore the impact of AI tools for chest diagnostics on the patient and carer experience.
Our research questions (RQ) are:
1. How is AI for chest diagnostics being implemented and used in practice in NHS services in England?
2. What are the experiences of patients and carers who had chest x-rays or CT investigations that were analysed by staff (supported by AI tools)?
3. What are the lessons for future implementation and evaluation of AI in diagnostics?Other components of the wider project are being processed through university ethical review as a service evaluation.
We will interview up to 18 patients and/or carers across three hospital trusts who have received AI-supported diagnostic care.
REC name
North West - Greater Manchester West Research Ethics Committee
REC reference
25/NW/0137
Date of REC Opinion
12 May 2025
REC opinion
Favourable Opinion