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

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

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.

artificial intelligence, coronavirus SARS-CoV-2 disease, general, Imaging, machine learning, medicine, radiology, respiratory
2055-2076
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Dickson, Jeanette
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Hardwick, Hayley E.
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Rockall, Andrea G.
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Fascia, Daniel
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Sudlow, Cathie
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Jacob, Joseph
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Alexander, Daniel
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Alexander, Melissa
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Ashley, Nicholas
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Aziz, Hena
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Babar, Judith L.
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Barbar, Ramona Rita
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Bates, Angela
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Bennett, Oscar
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Bettany, Alison
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Bhatia, Bahadar
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Bowen, Angela
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Bown, Hannah
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Buckle, Stephen
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Burfield, Paul
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Burford, Paul
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Hurst, John
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NCCID Collaborative
Cushnan, Dominic
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Berka, Rosalind
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Bertolli, Ottavia
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Williams, Peter
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Schofield, Daniel
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Joshi, Indra
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Favaro, Alberto
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Halling-Brown, Mark
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Imreh, Gergely
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Jefferson, Emily
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Reilly, Gerry
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Rodrigues, Jonathan C.L.
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Howlett, Andy
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Rockall, Andrea G.
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Alexander, Daniel
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Alexander, Melissa
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Ashley, Nicholas
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Aziz, Hena
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Babar, Judith L.
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Barbar, Ramona Rita
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Bates, Angela
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Bennett, Oscar
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Bhatia, Bahadar
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Bowen, Angela
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Bown, Hannah
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Brookes, Doreen
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Burfield, Paul
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Hurst, John
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NCCID Collaborative (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. (doi:10.1177/20552076211048654).

Record type: 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.

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20552076211048654 (1) - Version of Record
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Accepted/In Press date: 7 September 2021
Published date: 23 November 2021
Additional Information: Funding Information: 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. Funding Information: There are also challenges with sourcing research nurses or research coordinators for radiology studies specifically and with setting up such studies in radiology departments, as there is a significant shortage of radiology staff members. To date, apart from hospital sites that reallocated or sourced in-house funding, the NCCID initiative has only received funding from NHSX and has predominantly relied on voluntary support from hospital sites to contribute data. This model has sufficed due to the urgency presented by the pandemic, but would be unsustainable for long-term mass collection of imaging data. Further support and collaboration at a national level are required to establish funding models that are specifically designed for national data collection infrastructure, including imaging, as a research discipline in its own right. , Publisher Copyright: © The Author(s) 2021. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords: artificial intelligence, coronavirus SARS-CoV-2 disease, general, Imaging, machine learning, medicine, radiology, respiratory

Identifiers

Local EPrints ID: 454584
URI: http://eprints.soton.ac.uk/id/eprint/454584
ISSN: 2055-2076
PURE UUID: 876d6125-f72c-4610-a972-91fd992ae84b

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Date deposited: 16 Feb 2022 17:44
Last modified: 17 Mar 2024 12:57

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Contributors

Author: Dominic Cushnan
Author: Rosalind Berka
Author: Ottavia Bertolli
Author: Peter Williams
Author: Daniel Schofield
Author: Indra Joshi
Author: Alberto Favaro
Author: Mark Halling-Brown
Author: Gergely Imreh
Author: Emily Jefferson
Author: Neil J. Sebire
Author: Gerry Reilly
Author: Jonathan C.L. Rodrigues
Author: Graham Robinson
Author: Susan Copley
Author: Rizwan Malik
Author: Claire Bloomfield
Author: Fergus Gleeson
Author: Moira Crotty
Author: Erika Denton
Author: Jeanette Dickson
Author: Gary Leeming
Author: Hayley E. Hardwick
Author: Kenneth Baillie
Author: Peter J.M. Openshaw
Author: Malcolm G. Semple
Author: Caroline Rubin
Author: Andy Howlett
Author: Andrea G. Rockall
Author: Ayub Bhayat
Author: Daniel Fascia
Author: Cathie Sudlow
Author: Joseph Jacob
Author: Daniel Alexander
Author: Melissa Alexander
Author: Nicholas Ashley
Author: Hena Aziz
Author: Judith L. Babar
Author: Ramona Rita Barbar
Author: Angela Bates
Author: Oscar Bennett
Author: Alison Bettany
Author: Bahadar Bhatia
Author: Angela Bowen
Author: Hannah Bown
Author: Doreen Brookes
Author: Stephen Buckle
Author: Paul Burfield
Author: Paul Burford
Author: John Hurst
Corporate Author: NCCID Collaborative

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