Revolutionising the way real world evidence is used for research into treating and preventing diseaseServices
Discover-NOW, the health data research hub for real world evidence, supports clinicians, researchers and scientists to:
How we work with you
Discover-NOW is pioneering the use of real-world evidence (RWE) in the treatment and prevention of disease.
A gateway to one of the largest deidentified linked health and care datasets in Europe (over 2.5 million people), our services can connect you to a RWE validation ecosystem through a Trusted Research Environment which has been co-designed with citizens.
Our team will work with throughout the lifespan of your project to accommodate your needs. We bring together life sciences, health-tech, academia and the NHS to work on projects, and it’s the blend of our services, our expertise, our data and partnerships which makes working with us the ideal solution to get results.
Together we can revolutionise the way health data is used responsibly to treat and prevent disease.
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.Read more
Generate data driven insights and analysis into populations and cohorts, using the rich linked longitudinal health and care data.Read more
Using leading edge tools such as FARSITE and the North West London Research Register to to help find and match patients to clinical trials.Read more
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
Explore how our data has been used in research to treat and prevent disease
Retrospective 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 study
Albuminuria 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 study
Multimorbidity and health service utilisation amongst individuals with Non-Diabetic Hyperglycaemia and Type 2 Diabetes Mellitus
We aimed to measure the emergence of co-morbid health problems and healthcare service use in people diagnosed with NDH and T2DM. We also aimed to see if there were any differences in outcomes between the two conditions.View case study
Involving underrepresented groups: How unpaid carers influenced our data analysis
Read how the North West London Networked Data Lab explored unpaid carers’ needs, health issues, and care pathways through public involvement and analysis of linked datasets.View case study