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



Cushnan, Dominic, Berka, Rosalind, Bertolli, Ottavia, Williams, Peter, Schofield, Daniel, Joshi, Indra, Favaro, Alberto, Halling-Brown, Mark, Imreh, Gergely, Jefferson, Emily
et al (show 24 more authors) (2021) Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic. DIGITAL HEALTH, 7. 20552076211048654-.

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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.

Item Type: Article
Uncontrolled Keywords: Imaging, medicine, radiology, respiratory, machine learning, general, artificial intelligence, coronavirus SARS-CoV-2 disease
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Population Health
Depositing User: Symplectic Admin
Date Deposited: 13 Dec 2021 08:15
Last Modified: 18 Jan 2023 21:23
DOI: 10.1177/20552076211048654
Open Access URL: https://journals.sagepub.com/doi/10.1177/205520762...
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3145176