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We're hiring researchers to work on OpenSAFELY
Come and work with us! We’re looking for Epidemiologists / Health Data Scientists to join our growing research team.
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.
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: Preprint
This study investigated patient characteristics associated with clinically coded long COVID from 29 January 2020 to 31 March 2022.
Status: Published
This study evaluated the effectiveness of the 2022 autumn COVID-19 booster campaign in 50 year olds in England using a regression discontinuity design.
Status: Published
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: Preprint
Come and work with us! We’re looking for Epidemiologists / Health Data Scientists to join our growing research team.
We’re excited to open registration for the 2025 Bennett Institute Medicines Symposium, a two-day event that brings together everyone working with NHS medicines data.
Come and work with us! We are hiring a Patient and Public Involvement and Engagement Manager to involve the public in advancing mental health research.
This blog post shares the project I worked on during my summer internship at the Bennett Institute as part of the HDR UK Health Data Science programme. My project explored how ehrQL, is being used across OpenSAFELY repositories. I analysed 301 codefiles from 65 Repositories under the OpenSafely org. and was able to identified which features researchers rely on most, which are less common, and where improvements or additional support could be valuable.