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ID 102: De-identified Data Access Request: RADAR Project
Safe People
Organisation name
North West London Health and Care Partnership
Applicant name(s)
Funders/ Sponsors
Safe Projects
Project ID
=LEFT(J5,6)
Lay summary
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.
Public benefit statement
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
Other approval committees
Latest approval date
18/02/2021
Safe Data
Dataset(s) name
Safe Setting
Access type
TRE