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OpenSAFELY: A platform for analysing electronic health records designed for reproducible research.
Nab, Linda; Schaffer, Andrea L; Hulme, William; DeVito, Nicholas J; Dillingham, Iain; Wiedemann, Milan; Andrews, Colm D; Curtis, Helen; Fisher, Louis; Green, Amelia; Massey, Jon; Walters, Caroline E; Higgins, Rose; Cunningham, Christine; Morley, Jessica; Mehrkar, Amir; Hart, Liam; Davy, Simon; Evans, David; Hickman, George; Inglesby, Peter; Morton, Caroline E; Smith, Rebecca M; Ward, Tom; O'Dwyer, Thomas; Maude, Steven; Bridges, Lucy; Butler-Cole, Ben F C; Stables, Catherine L; Stokes, Pete; Bates, Chris; Cockburn, Jonny; Hester, Frank; Parry, John; Bhaskaran, Krishnan; Schultze, Anna; Rentsch, Christopher T; Mathur, Rohini; Tomlinson, Laurie A; Williamson, Elizabeth J; Smeeth, Liam; Walker, Alex; Bacon, Sebastian; MacKenna, Brian; Goldacre, Ben.
Affiliation
  • Nab L; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Schaffer AL; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Hulme W; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • DeVito NJ; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Dillingham I; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Wiedemann M; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Andrews CD; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Curtis H; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Fisher L; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Green A; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Massey J; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Walters CE; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Higgins R; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Cunningham C; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Morley J; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Mehrkar A; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Hart L; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Davy S; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Evans D; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Hickman G; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Inglesby P; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Morton CE; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Smith RM; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Ward T; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • O'Dwyer T; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Maude S; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Bridges L; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Butler-Cole BFC; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Stables CL; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Stokes P; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Bates C; TPP, TPP House, Leeds, UK.
  • Cockburn J; TPP, TPP House, Leeds, UK.
  • Hester F; TPP, TPP House, Leeds, UK.
  • Parry J; TPP, TPP House, Leeds, UK.
  • Bhaskaran K; London School of Hygiene and Tropical Medicine, London, UK.
  • Schultze A; London School of Hygiene and Tropical Medicine, London, UK.
  • Rentsch CT; London School of Hygiene and Tropical Medicine, London, UK.
  • Mathur R; London School of Hygiene and Tropical Medicine, London, UK.
  • Tomlinson LA; London School of Hygiene and Tropical Medicine, London, UK.
  • Williamson EJ; London School of Hygiene and Tropical Medicine, London, UK.
  • Smeeth L; London School of Hygiene and Tropical Medicine, London, UK.
  • Walker A; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Bacon S; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • MacKenna B; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Goldacre B; Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Pharmacoepidemiol Drug Saf ; 33(6): e5815, 2024 Jun.
Article in En | MEDLINE | ID: mdl-38783412
ABSTRACT
Electronic health records (EHRs) and other administrative health data are increasingly used in research to generate evidence on the effectiveness, safety, and utilisation of medical products and services, and to inform public health guidance and policy. Reproducibility is a fundamental step for research credibility and promotes trust in evidence generated from EHRs. At present, ensuring research using EHRs is reproducible can be challenging for researchers. Research software platforms can provide technical solutions to enhance the reproducibility of research conducted using EHRs. In response to the COVID-19 pandemic, we developed the secure, transparent, analytic open-source software platform OpenSAFELY designed with reproducible research in mind. OpenSAFELY mitigates common barriers to reproducible research by standardising key workflows around data preparation; removing barriers to code-sharing in secure analysis environments; enforcing public sharing of programming code and codelists; ensuring the same computational environment is used everywhere; integrating new and existing tools that encourage and enable the use of reproducible working practices; and providing an audit trail for all code that is run against the real data to increase transparency. This paper describes OpenSAFELY's reproducibility-by-design approach in detail.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Electronic Health Records / COVID-19 Limits: Humans Language: En Journal: Pharmacoepidemiol Drug Saf Journal subject: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2024 Document type: Article Affiliation country:
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Electronic Health Records / COVID-19 Limits: Humans Language: En Journal: Pharmacoepidemiol Drug Saf Journal subject: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2024 Document type: Article Affiliation country: