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,...
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2021
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oai:doaj.org-article:697622c435f0425bb32eaa96dc9e4c0d2021-12-01T00:04:11ZTowards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic2055-207610.1177/20552076211048654https://doaj.org/article/697622c435f0425bb32eaa96dc9e4c0d2021-11-01T00:00:00Zhttps://doi.org/10.1177/20552076211048654https://doaj.org/toc/2055-2076The 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.Dominic CushnanRosalind BerkaOttavia BertolliPeter WilliamsDaniel SchofieldIndra JoshiAlberto FavaroMark Halling-BrownGergely ImrehEmily JeffersonNeil J SebireGerry ReillyJonathan C L RodriguesGraham RobinsonSusan CopleyRizwan MalikClaire BloomfieldFergus GleesonMoira CrottyErika DentonJeanette DicksonGary LeemingHayley E HardwickKenneth BailliePeter JM OpenshawMalcolm G SempleCaroline RubinAndy HowlettAndrea G RockallAyub BhayatDaniel FasciaCathie Sudlow Joseph JacobSAGE PublishingarticleComputer applications to medicine. Medical informaticsR858-859.7ENDigital Health, Vol 7 (2021) |
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Computer applications to medicine. Medical informatics R858-859.7 |
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Computer applications to medicine. Medical informatics R858-859.7 Dominic Cushnan Rosalind Berka Ottavia Bertolli Peter Williams Daniel Schofield Indra Joshi Alberto Favaro Mark Halling-Brown Gergely Imreh Emily Jefferson Neil J Sebire Gerry Reilly Jonathan C L Rodrigues Graham Robinson Susan Copley Rizwan Malik Claire Bloomfield Fergus Gleeson Moira Crotty Erika Denton Jeanette Dickson Gary Leeming Hayley E Hardwick Kenneth Baillie Peter JM Openshaw Malcolm G Semple Caroline Rubin Andy Howlett Andrea G Rockall Ayub Bhayat Daniel Fascia Cathie Sudlow Joseph Jacob Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic |
description |
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. |
format |
article |
author |
Dominic Cushnan Rosalind Berka Ottavia Bertolli Peter Williams Daniel Schofield Indra Joshi Alberto Favaro Mark Halling-Brown Gergely Imreh Emily Jefferson Neil J Sebire Gerry Reilly Jonathan C L Rodrigues Graham Robinson Susan Copley Rizwan Malik Claire Bloomfield Fergus Gleeson Moira Crotty Erika Denton Jeanette Dickson Gary Leeming Hayley E Hardwick Kenneth Baillie Peter JM Openshaw Malcolm G Semple Caroline Rubin Andy Howlett Andrea G Rockall Ayub Bhayat Daniel Fascia Cathie Sudlow Joseph Jacob |
author_facet |
Dominic Cushnan Rosalind Berka Ottavia Bertolli Peter Williams Daniel Schofield Indra Joshi Alberto Favaro Mark Halling-Brown Gergely Imreh Emily Jefferson Neil J Sebire Gerry Reilly Jonathan C L Rodrigues Graham Robinson Susan Copley Rizwan Malik Claire Bloomfield Fergus Gleeson Moira Crotty Erika Denton Jeanette Dickson Gary Leeming Hayley E Hardwick Kenneth Baillie Peter JM Openshaw Malcolm G Semple Caroline Rubin Andy Howlett Andrea G Rockall Ayub Bhayat Daniel Fascia Cathie Sudlow Joseph Jacob |
author_sort |
Dominic Cushnan |
title |
Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic |
title_short |
Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic |
title_full |
Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic |
title_fullStr |
Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic |
title_full_unstemmed |
Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic |
title_sort |
towards nationally curated data archives for clinical radiology image analysis at scale: learnings from national data collection in response to a pandemic |
publisher |
SAGE Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/697622c435f0425bb32eaa96dc9e4c0d |
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