North West London Health and Care Partnership

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This project aims to develop and test data-driven end-user tools that deliver better information visualisation and decision support directly to front-line clinicians and patients.

This project will aim to: 1. Make use of diabetes predictive AI models developed in Scotland (MWDH). 2. Apply these to the North West London (NWL) population, by revalidating in NWL’s longitudinally linked dataset (‘Discover’) and widening to incorporate new datasets where relevant. 3. Consider and develop prototypes for end-user interfaces that use risk prediction to drive clinician and patient behaviour change impacting on clinical decision making and patient self-management behaviour. 4. "Needs assess” end-user requirements, UX and UI requirements and wider facilitators and barriers to success adoption; and 5. Test prototypes with clinicians and patients. The project aims to: 1. Develop methodology to rapidly revalidate 3-6 exemplar AI models developed in Scotland in NWL datasets 2. Assess how these models can best drive improved clinical outcomes specifically within the NWL Ecosystem

18/02/2021

TRE