Mapping and evaluating national data flows: transparency, privacy, and guiding infrastructural transformation

Joe Zhang*, Jess Morley, Jack Gallifant, Chris Oddy, James T. Teo, Hutan Ashrafian, Brendan Delaney, Ara Darzi

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)

Abstract

The importance of big health data is recognised worldwide. Most UK National Health Service (NHS) care interactions are recorded in electronic health records, resulting in an unmatched potential for population-level datasets. However, policy reviews have highlighted challenges from a complex data-sharing landscape relating to transparency, privacy, and analysis capabilities. In response, we used public information sources to map all electronic patient data flows across England, from providers to more than 460 subsequent academic, commercial, and public data consumers. Although NHS data support a global research ecosystem, we found that multistage data flow chains limit transparency and risk public trust, most data interactions do not fulfil recommended best practices for safe data access, and existing infrastructure produces aggregation of duplicate data assets, thus limiting diversity of data and added value to end users. We provide recommendations to support data infrastructure transformation and have produced a website (https://DataInsights.uk) to promote transparency and showcase NHS data assets.

Original languageEnglish
Pages (from-to)e737-e748
JournalThe Lancet Digital Health
Volume5
Issue number10
DOIs
Publication statusPublished - 2 Oct 2023

Keywords

  • electronic health record (EHR)
  • health data governance
  • health data
  • data flows
  • Health informatics
  • Healthcare

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