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Join us for our 2nd Annual OpenSAFELY Community Symposium!
Two days of talks and workshops on research, data infrastructure, and open science.
OpenSAFELY
OpenSAFELY is a new secure analytics platform for electronic health records in the NHS, created to deliver urgent results during the global COVID-19 emergency.
OpenSAFELY is a new secure analytics platform for electronic health records in the NHS, created to deliver urgent results during the global COVID-19 emergency. It is now successfully delivering analyses across more than 58 million patients’ full pseudonymised primary care NHS records, with more to follow shortly. All our analytic software is open for security review, scientific review, and re-use. OpenSAFELY uses a new model for enhanced security and timely access to data: we don’t transport large volumes of potentially disclosive pseudonymised patient data outside of the secure environments managed by the electronic health record software company; instead, trusted analysts can run large scale computation across near real-time pseudonymised patient records inside the data centre of the electronic health records software company. This pragmatic and secure approach allowed us to deliver our first analyses in just five weeks from project start.
Find out more about how OpenSAFELY works in this blog or read our papers and other blog posts, follow us on Twitter, or visit the website to find out more.
Latest OpenSAFELY papers
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Consistency, completeness and external validity of ethnicity recording in NHS primary care records: a cohort study in 25 million patients’ records at source using OpenSAFELY
We describe the completeness and consistency of primary care ethnicity recording in the OpenSAFELY-TPP database, containing linked primary care and hospital records in >25 million patients in England. We also compared the ethnic breakdown in OpenSAFELY-TPP with that of the 2021 UK census.
Status: Published
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Changes in sick notes associated with COVID-19 from 2020 to 2022: a cohort study in 24 million primary care patients in OpenSAFELY-TPP
This study quantified the sick note rate in people with documented SARS-CoV-2 infection or COVID-19 diagnosis in 2020, 2021 and 2022 overall, by demographics, and by time since diagnosis. We also used adjusted Cox regression to compare the sick note rate to the general population.
Status: Published
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Effectiveness of mRNA COVID-19 Vaccines as First Booster Doses in England
We estimate the effectiveness of boosting with BNT162b2 or mRNA-1273 COVID-19 vaccines compared with no boosting in eligible adults who had received two primary course vaccine doses in England.
Status: Published
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Changes in opioid prescribing during the COVID-19 pandemic in England
This study described changes in prevalent and new opioid prescribing during the COVID-19 pandemic, overall, among people in care homes, and stratified by demographics.
Status: Published
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Latest OpenSAFELY blog posts
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Recording technical decisions using ADRs
The Research Experience team explain how they’ve been recording decisions
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We won an MRC award for open science
Most of the time, we like to keep things fairly formal on this blog - but if you’ll forgive us a small indulgence, today we’re going to blow our own trumpet a little. A couple of weeks ago, my colleague Rose Higgins and I went to an event in London where this Institute was awarded the Open Science Impact award, as part of the MRC Impact Prize. We were, needless to say, over the moon about it.
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Research-ready computers in the cloud
Spend more time answering your research questions – and less time wrangling your computer – with GitHub Codespaces and the OpenSAFELY development container.