INSIGHT
The Health Data Research Hub for Eye Health
What is INSIGHT?
INSIGHT is an NHS-led partnership established to improve healthcare by encouraging research using routinely collected eye data.
The INSIGHT Health Data Research Hub:
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makes anonymised eye data available for patient-focused research
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is focused on eye health, but could lead to breakthroughs in a wide range of conditions, including diabetes and dementia
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is committed to putting patients and the public first
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applies the highest standards of ethics, transparency and data safety
Ultimately, our aim is to transform the way diseases are diagnosed, treated and managed in the UK and beyond.
In the short video below, some of the key members of our team explain why the INSIGHT hub was established.
The transcript for this video is available here (PDF, 85 KB)
Where does INSIGHT data come from?
Across the NHS as a whole, 25 million images of the eye are created every year, representing an unrivalled resource for research using techniques like machine learning.
The data available through INSIGHT currently comes from two NHS foundation trusts: Moorfields Eye Hospital and University Hospitals Birmingham. It has been routinely collected from thousands of patients over many years, and forms some of the largest eye datasets in the world.
Before the datasets are made available for research, identifying information (for example, names and addresses) is removed. Data from patients who have opted out of sharing their health data for research purposes is also removed.
How does INSIGHT benefit patients?
INSIGHT's datasets are unprecedented in their size and quality, allowing researchers to analyse millions of retinal images (and related health records) at speed using computers. They will be able to identify links between tiny details (which might be missed by the human eye) and a range of health conditions – from age-related macular degeneration to diabetes and dementia.
This type of cutting-edge research, using advanced techniques like machine learning and artificial intelligence (A.I.), could lead to new therapies, new tools to speed up diagnosis, and treatments tailored to individual patients (known as personalised medicine).
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