Development and validation of a predictive model for high-intensity mental health service use using electronic health record data
Routine EHR data performed well in predicting the risk of high-cost care, potentially enabling targeted interventions and more efficient resource allocation.
Authors
- Bharadwaj V Chada
- Robert Stewart
- James Lai
Institutions
- Imperial College Healthcare NHS Trust (GB)
- King's College London (GB)
- South London and Maudsley NHS Foundation Trust (GB)
Publication Details
- Journal
- BJPsych Bulletin
- Published
- 2026-01-20
- DOI
- https://doi.org/10.1192/bjb.2025.10205
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 52.10
Funders
- Queen Mary University of London
- King's College Hospital NHS Foundation Trust
- UK Research and Innovation
- National Institute for Health and Care Research
- Department of Health and Social Care
- Imperial College London
- King's College London
- Health Innovation Network South London
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London
- NIHR Maudsley Biomedical Research Centre
- Medical Research Council
- National Institute for Health Research Applied Research Collaboration South London