UCL Institute of Health Informatics



Cardiovascular metabolic

Cardiovascular diseases (CVD) and their risk factors (some of which are diseases in their own right, e.g. hypertension and diabetes) represent the largest burden of morbidity and mortality not just in the UK, but worldwide. Our researchers at IHI use 'big data' approaches in translational research across aetiology, diagnosis, treatment and prevention of CVD.
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Our goal is to improve the prevention, diagnosis, and treatment of infection by using novel analytical approaches to analyse and link health records from across the NHS.
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Neurodegenerative disorders

Using electronic health record data we aim to support the development and targeting of new treatments for mental health and neurological disorders.
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Mental health

Our work integrates clinical data from patient records with large biological datasets from disease-focused studies of transcriptomics, genomics, epigenetics, proteomics and neuroimaging. This type of integrative approach helps us better understand the biological mechanisms underpinning mental health disorders. 
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Improving the quality of electronic health records in ENT, hearing and balance. We are using linked health data to answer important clinical research questions and developing and implementing clinical decision support systems into ENT electronic health records and registries.
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