Secure analytics platform for NHS electronic health records
OpenSAFELY delivers research across over 58 million people's health records, always respecting patient confidentiality
Better research, improved patient confidentiality
Why OpenSAFELY?OpenSAFELY is a highly secure, transparent, open-source software platform for analysis of electronic health records data. All platform activity is publicly logged. All software for data management and analysis is shared, automatically and openly, for scientific review and efficient re-use.
Protecting privacy
We never let researchers download patient data, and OpenSAFELY tools let users to write code to analyse patient data without even needing to view the raw records.
Auditable by the public
It is a privilege to use patient data for the public good. OpenSAFELY respects patients by carefully considering this in every part of its design.
Better, open science
OpenSAFELY requires publication of all analytic code, and our tools drive all users to produce prespecified, reusable, testable, shareable and modular software for research.
Enabling high volumes of research
Over 60 published research outputs to date, with many more in progress.
OpenSAFELY is revolutionising the way we work with health data. The initiative has already delivered major contributions to public health during the COVID-19 pandemic. But OpenSAFELY also leads the way in terms of transparency, open working methods, and a uniquely secure data access model.
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Open for research
We are currently working with NHS England to cautiously on-board a small number of external pilot users to develop their analyses on OpenSAFELY. This first wave of pilot users will be collaborators, working closely alongside us to co-develop the platform.
Read about our pilot onboarding processPython, R and Stata
Choose any of these languages to write your analytic code
Primary care data
Our deployment for NHS England uses primary care data to research questions related to the Covid-19 emergency
A commitment to open ways of working
We believe transparency and open working methods are key to earning public trust and improving research quality
Latest from the blog
Exciting new developments with hospital medicines data
We briefly summarise all the recent big and exciting developments in hospital medicines data.
OpenSAFELY for retail data? Every little helps
Someone on the radio was musing about using retail data for health - we have some thoughts on that.
Recent paper outputs from the OpenSAFELY Community
In the past 6 months we’ve been very productive at OpenSAFELY publishing 21 peer-reviewed papers on a variety of topics.
The safety of antivirals and neutralising monoclonal antibodies used in prehospital treatment of Covid-19
In this guest blog, Katie Bechman describes the proof-of-principle pharmacovigilance study she conducted with the help of her team from King’s College London, which used OpenSAFELY to examine the safety of sotrovimab, paxlovid and molnupiravir in prehospital treatment of Covid-19.
Join us for our 2nd Annual OpenSAFELY Community Symposium!
Two days of talks and workshops on research, data infrastructure, and open science.
Recording technical decisions using ADRs
The Research Experience team explain how they’ve been recording decisions