This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (563) Digital Science, Open Science (85) Secondary Use of Clinical Data for Research and Surveillance (412) Open Source and Data for Public Health (27)

Published on in Vol 22, No 1 (2020): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15603, first published .
Barriers to Working With National Health Service England’s Open Data

Barriers to Working With National Health Service England’s Open Data

Barriers to Working With National Health Service England’s Open Data

Authors of this article:

Seb Bacon1 Author Orcid Image ;   Ben Goldacre1 Author Orcid Image
Article Authors Cited by (7) Tweetations (300) Metrics

Journals

  1. MacKenna B, Curtis H, Walker A, Bacon S, Croker R, Goldacre B. Suboptimal prescribing behaviour associated with clinical software design features: a retrospective cohort study in English NHS primary care. British Journal of General Practice 2020;70(698):e636 View
  2. Curtis H, Bacon S, Croker R, Walker A, Perera R, Hallsworth M, Harper H, Mahtani K, Heneghan C, Goldacre B. Evaluating the impact of a very low-cost intervention to increase practices’ engagement with data and change prescribing behaviour: a randomized trial in English primary care. Family Practice 2021;38(4):373 View
  3. Sheikh A, Anderson M, Albala S, Casadei B, Franklin B, Richards M, Taylor D, Tibble H, Mossialos E. Health information technology and digital innovation for national learning health and care systems. The Lancet Digital Health 2021;3(6):e383 View
  4. Anderson M, Pitchforth E, Asaria M, Brayne C, Casadei B, Charlesworth A, Coulter A, Franklin B, Donaldson C, Drummond M, Dunnell K, Foster M, Hussey R, Johnson P, Johnston-Webber C, Knapp M, Lavery G, Longley M, Clark J, Majeed A, McKee M, Newton J, O'Neill C, Raine R, Richards M, Sheikh A, Smith P, Street A, Taylor D, Watt R, Whyte M, Woods M, McGuire A, Mossialos E. LSE–Lancet Commission on the future of the NHS: re-laying the foundations for an equitable and efficient health and care service after COVID-19. The Lancet 2021;397(10288):1915 View
  5. Masefield S, Willan K, Darwin Z, Blower S, Nekitsing C, Dickerson J. Can we identify the prevalence of perinatal mental health using routinely collected health data?: A review of publicly available perinatal mental health data sources in England. Learning Health Systems 2024;8(1) View
  6. Butorac I, McNaney R, Seguin J, Olivier P, Northam J, Tully L, Carl T, Carter A. Developing Digital Mental Health Tools With Culturally Diverse Parents and Young People: Qualitative User-Centered Design Study. JMIR Pediatrics and Parenting 2025;8:e65163 View

Conference Proceedings

  1. Cerqueira J, Almeida P, Canedo E, Alves G, Giozza W, Mendonca F, de Sousa R. 2020 15th Iberian Conference on Information Systems and Technologies (CISTI). Exploratory Overview on Breaking CAPTCHAs Using the Theory of the Consolidated Meta-Analytic Approach View