Towards nationally curated data archives for clinical radiology image analysis at scale: learnings from national data collection in response to a pandemic
Author(s)
Type
Journal Article
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.
Date Issued
2021-11-01
Date Acceptance
2021-09-07
Citation
Digital Health, 2021, 7, pp.1-13
ISSN
2055-2076
Publisher
SAGE Publications
Start Page
1
End Page
13
Journal / Book Title
Digital Health
Volume
7
Copyright Statement
© The Author(s) 2021
License URL
Sponsor
Imperial College Healthcare NHS Trust- BRC Funding
National Institute for Health Research
National Institute for Health Research
Imperial College Healthcare NHS Trust- BRC Funding
National Institute for Health Research
UK Research and Innovation
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000724512000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
RDC04
HPRU-2012-10064
RDF04
RDA02
NIHR201385
1257927
Subjects
Science & Technology
Life Sciences & Biomedicine
Health Care Sciences & Services
Health Policy & Services
Public, Environmental & Occupational Health
Medical Informatics
Imaging
medicine
radiology
respiratory
machine learning
general
artificial intelligence
coronavirus SARS-CoV-2 disease
Publication Status
Published
Article Number
ARTN 20552076211048654