Revolutionising the way real world evidence is used for research into treating and preventing disease
Discover-NOW is scaling for the whole of London!
Discover-NOW is scaling up for the whole of London, as the London Secure Data Environment (SDE).
Once fully operational, the London SDE will provide controlled access to a de-identified linked dataset covering more than 10 million people, enabling safe, ethical, and efficient access to data for care, planning, and research.
Some of the Discover-NOW Team will form the London SDE Research Service and will continue to support commercial, NHS and academic partners to apply for, access, and use this real-world data for translational research and development.
The rest of the Discover-NOW Team will be reintegrated into Imperial College Health Partners (ICHP) to continue to deliver its Real World Evidence service provision.
If you’d like to learn more about the London SDE, please visit www.onelondon.online/london-secure-data-environment or email the London SDE Research Service: research.onelondon@nhs.net
If you’d like to learn more about ICHP’s Real World Evidence and Innovation & Implementation services, please visit www.imperialcollegehealthpartners.com or email:
Abeer Itrakjy, Associate Director of Innovation & Implementation: Abeer.Itrakjy@imperialcollegehealthpartners.com
Hannah Fontana, Associate Director of Strategy & Insight: Hannah.Fontana@imperialcollegehealthpartners.com
Services
Discover-NOW enables research through:
- Feasibility studies
- Retrospective studies
- Patient identification and recruitment
- Health economic evaluations
- AI and machine learning
- Health implementation
Run complex and powerful searches over the rich deidentified linked dataset of over 2.5m population to inform protocol design and study feasibility.
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Generate data driven insights and analysis into populations and cohorts, using the rich linked longitudinal health and care data.
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Using leading edge tools such as FARSITE and the North West London Research Register to to help find and match patients to clinical trials.
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Support the evaluation of new products or interventions through analysis of real world evidence.
Develop and test predictive AI approaches to determine if your technologies are effective and scalable
Ensure learnings from your research can deliver real world impact for patients
Case Studies
Explore how our data has been used in research to treat and prevent disease
Ten-year progression of obesity-related complications in a population with overweight and obesity in the UK
A retrospective open cohort study to assess the prevalence of individual obesity-related complications, multimorbidity, and multimorbidity-associated healthcare costs, over 10 years.
View case studyVariations in healthcare costs by body mass index and obesity-related complications in a UK population
This retrospective open cohort study aimed to estimate healthcare resource utilisation (HCRU) and healthcare costs by body mass index (BMI) in a UK cohort and to explore how this varied by defined BMI strata.
View case studyRetrospective analysis of the burden of vaso–occlusive events experienced by sickle cell disease (SCD) patients
Quantifying the frequency of VOCs in patients with SCD over 16 years of age and the healthcare resource utilisation of this group across North West London’s healthcare system.
View case studyAlbuminuria and the emergence of vascular problems in people with Type 2 Diabetes
Understanding the association between varying degrees of albuminuria and the development of vascular multi-morbidities in people with T2DM who have developed stage 3a CKD (CKD3a). Additionally, quantifying the prescription of medications beneficial in delaying CKD progression and reducing the risk of co-morbid disorders.
View case studyWorking together with our partners
