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

TY - JOUR

T1 - Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic

AU - Cushnan, Dominic

AU - Berka, Rosalind

AU - Bertolli, Ottavia

AU - Williams, Peter

AU - Schofield, Daniel

AU - Joshi, Indra

AU - Favaro, Alberto

AU - Halling-Brown, Mark

AU - Imreh, Gergely

AU - Jefferson, Emily

AU - Sebire, Neil

AU - Reilly, Gerry

AU - Rodrigues, Jonathan C L

AU - Robinson, Graham

AU - Copley, Susan

AU - Malik, Rizwan

AU - Bloomfield, Claire

AU - Gleeson, Fergus

AU - Crotty, Moira

AU - Denton, Erika

AU - Dickson, Jeanette

AU - Leeming, Gary

AU - Hardwick, Hayley E.

AU - Baillie, Kenneth

AU - Openshaw, Peter J. M.

AU - Semple, Malcolm G.

AU - Rubin, Caroline

AU - Howlett, Andy

AU - Rockall, Andrea G.

AU - Bhayat, Ayub

AU - Fascia, Daniel

AU - Sudlow, Cathie

AU - Jacob, Joseph

N1 - Funding: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: JJ is supported by a Wellcome Trust Clinical Research Career Development Fellowship (Grant No. 209553/Z/17/Z) and the NIHR UCLH Biomedical Research Centre.

PY - 2021/11

Y1 - 2021/11

N2 - 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.

AB - 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.

KW - Imaging

KW - medicine

KW - radiology

KW - respiratory

KW - machine learning

KW - general

KW - artificial intelligence

KW - coronavius

KW - SARS-CoV-2 disease

KW - coronavirus SARS-CoV-2 disease

UR - https://www.scopus.com/pages/publications/85120463856

U2 - 10.1177/20552076211048654

DO - 10.1177/20552076211048654

M3 - Article

C2 - 34868617

SN - 2055-2076

VL - 7

JO - Digital Health

JF - Digital Health

ER -