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ID-442: Validation of Risk Models and Patient Triage NWL data
Safe People
Organisation name
Imperial College Healthcare NHS Trust
Applicant name(s)
Funders/ Sponsors
Commercial
Safe Projects
Project ID
ID-442
Lay summary
The study focuses on assessing the accuracy and feasibility of predictive models to estimate the 10-year risk of key conditions, including T2D and CVD, within populations characterized by baseline data such as BMI, age, gender and socioeconomic factors.
Public benefit statement
The outcomes of this project will directly benefit patients by improving the ability to identify individuals at higher risk of developing obesity-related complications such as Type 2 diabetes or cardiovascular disease, earlier and more accurately. This means healthcare professionals can intervene sooner with personalized treatments or preventive measures, potentially reducing the severity of these conditions and preventing complications. By ensuring that resources are targeted where they are most needed, patients will receive more effective care, leading to better health outcomes, improved quality of life, reduced health inequalities and reduced hospital visits or long-term health issues.
Other approval committees
Latest approval date
21/02/2025
Safe Data
Dataset(s) name
Safe Setting
Access type
TRE