The OpenSafely Research Platform

Grant number: 222097/Z/20/Z

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2023
  • Known Financial Commitments (USD)

    $3,002,509.66
  • Funder

    Wellcome Trust
  • Principal Investigator

    Dr. Ben Goldacre
  • Research Location

    United Kingdom
  • Lead Research Institution

    University of Oxford
  • Research Priority Alignment

    N/A
  • Research Category

    Health Systems Research

  • Research Subcategory

    Health information systems

  • Special Interest Tags

    Data Management and Data Sharing

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

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 24 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 live pseudonymised patient records inside the data centre of the electronic health records software company. This pragmatic and secure approach has allowed us to deliver our first analyses in just five weeks from project start.

Publicationslinked via Europe PMC

Ethnic differences in Long COVID diagnosed in primary care in England (2020-2022): an observational cohort study using OpenSAFELY.

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.

The impact of COVID-19 lockdowns on primary care contact among vulnerable populations in England: a controlled interrupted time-series study.

Opioid prescribing to people on orthopaedic waiting lists during the covid-19 pandemic in England: retrospective cohort study using linked electronic health record data in OpenSAFELY-TPP.

Patient characteristics associated with clinically coded long COVID: an OpenSAFELY study using electronic health records.

Outpatient hospital attendances in people with rheumatoid arthritis during the COVID-19 pandemic and beyond: a cohort study in three nations of the UK.

Disparities in the use of remote general practice consultations: learning from the COVID-19 pandemic, an analysis of 19 million electronic health records using OpenSAFELY.

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.

OpenCodeCounts: An open-access, interactive online tool and R package for analysing clinical code usage in England