Digital Health (Nov 2021)

Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic

  • Dominic Cushnan,
  • Rosalind Berka,
  • Ottavia Bertolli,
  • Peter Williams,
  • Daniel Schofield,
  • Indra Joshi,
  • Alberto Favaro,
  • Mark Halling-Brown,
  • Gergely Imreh,
  • Emily Jefferson,
  • Neil J Sebire,
  • Gerry Reilly,
  • Jonathan C L Rodrigues,
  • Graham Robinson,
  • Susan Copley,
  • Rizwan Malik,
  • Claire Bloomfield,
  • Fergus Gleeson,
  • Moira Crotty,
  • Erika Denton,
  • Jeanette Dickson,
  • Gary Leeming,
  • Hayley E Hardwick,
  • Kenneth Baillie,
  • Peter JM Openshaw,
  • Malcolm G Semple,
  • Caroline Rubin,
  • Andy Howlett,
  • Andrea G Rockall,
  • Ayub Bhayat,
  • Daniel Fascia,
  • Cathie Sudlow,
  • ,
  • Joseph Jacob

DOI
https://doi.org/10.1177/20552076211048654
Journal volume & issue
Vol. 7

Abstract

Read online

The prevalence of the coronavirus SARS-CoV-2 disease has resulted in the unprecedented collection of health data to support research. Historically, coordinating the collation of such datasets on a national scale has been challenging to execute for several reasons, including issues with data privacy, the lack of data reporting standards, interoperable technologies, and distribution methods. The coronavirus SARS-CoV-2 disease pandemic has highlighted the importance of collaboration between government bodies, healthcare institutions, academic researchers and commercial companies in overcoming these issues during times of urgency. The National COVID-19 Chest Imaging Database, led by NHSX, British Society of Thoracic Imaging, Royal Surrey NHS Foundation Trust and Faculty, is an example of such a national initiative. Here, we summarise the experiences and challenges of setting up the National COVID-19 Chest Imaging Database, and the implications for future ambitions of national data curation in medical imaging to advance the safe adoption of artificial intelligence in healthcare.