Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic. (November 2021)

• Record Type: Journal Article
• Authors: Cushnan, Dominic; Berka, Rosalind; Bertolli, Ottavia; Williams, Peter; Schofield, Daniel; Joshi, Indra; Favaro, Alberto; Halling-Brown, Mark; Imreh, Gergely; Jefferson, Emily; Sebire, Neil J; Reilly, Gerry; Rodrigues, Jonathan C L; Robinson, Graham; Copley, Susan; Malik, Rizwan; Bloomfield, Claire; Gleeson, Fergus; Crotty, Moira; Denton, Erika; Dickson, Jeanette; Leeming, Gary; Hardwick, Hayley E; Baillie, Kenneth; Openshaw, Peter JM; Semple, Malcolm G; Rubin, Caroline; Howlett, Andy; Rockall, Andrea G; Bhayat, Ayub; Fascia, Daniel; Sudlow, Cathie; Jacob, Joseph;
• Is Part Of: Digital health. Volume 7(2021)
• Publication Date: 2021-11
• Subjects: Imaging -- medicine -- radiology -- respiratory -- machine learning -- general -- artificial intelligence -- coronavirus SARS-CoV-2 disease; Medical care -- Data processing -- Periodicals; Medical informatics -- Periodicals; 362.10285
• DOI: 10.1177/20552076211048654
• Languages: English
• ISSNs: 2055-2076

Abstract

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.