Risk prediction tools in multiple long-term conditions management: a qualitative study
There was some support for using AI-informed tools for risk stratification, provided they have no workload implications, complement clinical judgement, and account for patient clinical complexity and preferences.
Authors
- Clare MacRae (ORCID: https://orcid.org/0000-0002-1007-683X)
- Atul Anand (ORCID: https://orcid.org/0000-0002-6428-4554)
- Stewart W Mercer (ORCID: https://orcid.org/0000-0002-1703-3664)
- Stella Arakelyan (ORCID: https://orcid.org/0000-0003-0326-707X)
- Bruce Guthrie (ORCID: https://orcid.org/0000-0003-4191-4880)
- Nazir Lone (ORCID: https://orcid.org/0000-0003-2707-2779)
Institutions
- NHS Lothian (GB)
- Edinburgh Royal Infirmary (GB)
- Edinburgh College (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- British Journal of General Practice
- Published
- 2025-12-04
- DOI
- https://doi.org/10.3399/bjgp.2025.0371
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- Department of Health and Social Care