We are pleased to announce that the East Midlands Secure Data Environment (SDE) and East of England SDE have merged. From 1 February 2026, we are operating as a single, unified Eastern England SDE under common operating and governance arrangements.

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Supporting life-saving research with health data

The Eastern England Secure Data Environment provides secure access to de-identified NHS patient data for analysis, enabling researchers in our region and across the UK to analyse and find ways to prevent, diagnose and treat diseases and improve healthcare. We are owned and run by the NHS.
 

Impact

Addressing major UK health challenges

Learn how the projects supported by the Eastern England SDE are enabling improvements in health and care, and new scientific discoveries.  

Cambridge University Hospitals NHS Foundation Trust

Analysis of longitudinal physiological, biochemical and pharmacological data from the anonymised electronic hospital records of non-elective inpatient admission episodes in older adults: characterisation of different inpatient trajectories and pharmacological exposures associated with inpatient mortality

As people live longer, more older adults attend hospital in emergencies. Some older adults are living with frailty, meaning they are less able to cope with illness or stress, or have multiple long-term health conditions and take several medications. These factors increase the complexity of their acute hospital care. This study aims to better understand how older adults use emergency hospital services and the different types of patient journey from admission to discharge. Researchers will use routinely collected healthcare data, that is available from hospital electronic health record systems and has been de-identified. Using advanced computer methods (machine learning), researchers will group similar hospital experiences together, describe their key features, and investigate which factors are linked to a higher risk of adverse hospital outcomes, such as death or prolonged length of hospital stay.
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Swansea University

Advancing Care Trajectories: Deep phenotyping and precision therapeutics in Atrial Fibrillation patient cohorts to enhance bleeding and cardiovascular risk stratification and stroke prevention strategies

Atrial fibrillation (AF) is a common heart condition that increases the risk of stroke. If AF is detected and treated early, this risk can be reduced. This project will use real-world health data to understand how people with AF are diagnosed, treated and cared for, and to explore differences in care by age, gender and ethnicity, as well as the impact of the COVID-19 pandemic on AF care.
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