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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. 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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Electronic health record data to develop indicators of end-of-life care quality
In this study, we explore the recording and face validity of patient-centric measures of care quality at the end of life which could be derived from primary care electronic records.
Status: Published
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Time trends in newly recorded diagnoses of 19 long term conditions before, during, and after the covid-19 pandemic: population based cohort study in England using OpenSAFELY
This study describes temporal changes in the incidence and prevalence of 19 long-term conditions in England, quantifying the impact of the COVID-19 pandemic on diagnosis rates by disease, age group, sex, socioeconomic status, and ethnicity.
Status: Published
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Opioid prescribing to people on orthopaedic waiting lists during the COVID-19 pandemic in England: a study using OpenSAFELY-TPP
This study used the National Waiting List Minimum Dataset linked with GP data to quantify the impact of waiting times on opioid prescribing during the COVID-19 pandemic.
Status: Published
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The impact of the COVID-19 pandemic on the rate of maternal postnatal healthcare examinations in England: an OpenSAFELY interrupted time series analysis providing evidence of disparity in care access
The current study describes the impact of the COVID-19 pandemic on the rate of maternal postnatal examinations in England over time and its predictors, including socioeconomic deprivation and ethnicity.
Status: Published
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Latest OpenSAFELY blog posts
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The Untapped Potential of NHS Talking Therapies Data: reflections during Mental Health Awareness Week
Understanding the role that large-scale mental health data analysis can play in improving the effectiveness of mental health services across England.
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Messy Data to Meaningful Insights: The Importance of Data Checks
We describe how we do data checks of GP data in OpenSAFELY
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Big data and better healthcare: inside the Bennett Institute's NHS data tools
Seb Bacon and Brian MacKenna showed returning graduates how healthcare data tools are developed, and explored the impact of securely analysing large-scale health data.