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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
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,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637703/ https://www.ncbi.nlm.nih.gov/pubmed/34868617 http://dx.doi.org/10.1177/20552076211048654 |
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author | Cushnan, Dominic Berka, Rosalind Bertolli, Ottavia Williams, Peter Schofield, Daniel Joshi, Indra Favaro, Alberto Halling-Brown, Mark Imreh, Gergely Jefferson, Emily Sebire, Neil J Reilly, Gerry Rodrigues, Jonathan C L Robinson, Graham Copley, Susan Malik, Rizwan Bloomfield, Claire Gleeson, Fergus Crotty, Moira Denton, Erika Dickson, Jeanette Leeming, Gary Hardwick, Hayley E Baillie, Kenneth Openshaw, Peter JM Semple, Malcolm G Rubin, Caroline Howlett, Andy Rockall, Andrea G Bhayat, Ayub Fascia, Daniel Sudlow, Cathie Jacob, Joseph |
author_facet | Cushnan, Dominic Berka, Rosalind Bertolli, Ottavia Williams, Peter Schofield, Daniel Joshi, Indra Favaro, Alberto Halling-Brown, Mark Imreh, Gergely Jefferson, Emily Sebire, Neil J Reilly, Gerry Rodrigues, Jonathan C L Robinson, Graham Copley, Susan Malik, Rizwan Bloomfield, Claire Gleeson, Fergus Crotty, Moira Denton, Erika Dickson, Jeanette Leeming, Gary Hardwick, Hayley E Baillie, Kenneth Openshaw, Peter JM Semple, Malcolm G Rubin, Caroline Howlett, Andy Rockall, Andrea G Bhayat, Ayub Fascia, Daniel Sudlow, Cathie Jacob, Joseph |
author_sort | Cushnan, Dominic |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8637703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-86377032021-12-03 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 Sebire, Neil J Reilly, Gerry Rodrigues, Jonathan C L Robinson, Graham Copley, Susan Malik, Rizwan Bloomfield, Claire Gleeson, Fergus Crotty, Moira Denton, Erika Dickson, Jeanette Leeming, Gary Hardwick, Hayley E Baillie, Kenneth Openshaw, Peter JM Semple, Malcolm G Rubin, Caroline Howlett, Andy Rockall, Andrea G Bhayat, Ayub Fascia, Daniel Sudlow, Cathie Jacob, Joseph Digit Health Opinion Piece 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. SAGE Publications 2021-11-23 /pmc/articles/PMC8637703/ /pubmed/34868617 http://dx.doi.org/10.1177/20552076211048654 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Opinion Piece Cushnan, Dominic Berka, Rosalind Bertolli, Ottavia Williams, Peter Schofield, Daniel Joshi, Indra Favaro, Alberto Halling-Brown, Mark Imreh, Gergely Jefferson, Emily Sebire, Neil J Reilly, Gerry Rodrigues, Jonathan C L Robinson, Graham Copley, Susan Malik, Rizwan Bloomfield, Claire Gleeson, Fergus Crotty, Moira Denton, Erika Dickson, Jeanette Leeming, Gary Hardwick, Hayley E Baillie, Kenneth Openshaw, Peter JM Semple, Malcolm G Rubin, Caroline Howlett, Andy Rockall, Andrea G Bhayat, Ayub Fascia, Daniel Sudlow, Cathie Jacob, Joseph Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic |
title | 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_short | 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 |
topic | Opinion Piece |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637703/ https://www.ncbi.nlm.nih.gov/pubmed/34868617 http://dx.doi.org/10.1177/20552076211048654 |
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