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

Dominic Cushnan; Rosalind Berka; Ottavia Bertolli; Peter Williams; Daniel Schofield; Indra Joshi; Alberto Favaro; Mark Halling-Brown; Gergely Imreh; Emily Jefferson; Neil 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 J. M. Openshaw; Malcolm G. Semple; Caroline Rubin; Andy Howlett; Andrea G. Rockall; Ayub Bhayat; Daniel Fascia; Cathie Sudlow; Joseph Jacob

doi:10.1177/20552076211048654

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

Dominic Cushnan (Lead / Corresponding author), Rosalind Berka, Ottavia Bertolli, Peter Williams, Daniel Schofield, Indra Joshi, Alberto Favaro, Mark Halling-Brown, Gergely Imreh, Emily Jefferson, Neil Sebire, Gerry Reilly, Jonathan C L Rodrigues, Graham Robinson, Susan Copley, Rizwan Malik, Claire Bloomfield, Fergus Gleeson, Moira Crotty, Erika DentonJeanette Dickson, Gary Leeming, Hayley E. Hardwick, Kenneth Baillie, Peter J. M. Openshaw, Malcolm G. Semple, Caroline Rubin, Andy Howlett, Andrea G. Rockall, Ayub Bhayat, Daniel Fascia, Cathie Sudlow, , Joseph Jacob

Population Health and Genomics

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

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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.

Original language	English
Number of pages	12
Journal	Digital Health
Volume	7
Early online date	23 Nov 2021
DOIs	https://doi.org/10.1177/20552076211048654
Publication status	Published - Nov 2021

Keywords

Imaging
medicine
radiology
respiratory
machine learning
general
artificial intelligence
coronavius
SARS-CoV-2 disease
coronavirus SARS-CoV-2 disease

ASJC Scopus subject areas

Health Information Management
Health Policy
Health Informatics
Computer Science Applications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1177/20552076211048654Licence: CC BY-NC

Final Published VersionFinal published version, 1.14 MBLicence: CC BY-NC

Cite this

Cushnan, D., Berka, R., Bertolli, O., Williams, P., Schofield, D., Joshi, I., Favaro, A., Halling-Brown, M., Imreh, G., Jefferson, E., Sebire, N., Reilly, G., Rodrigues, J. C. L., Robinson, G., Copley, S., Malik, R., Bloomfield, C., Gleeson, F., Crotty, M., ... Jacob, J. (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. https://doi.org/10.1177/20552076211048654

@article{3ff6086ff206425fbb400001d7e4d85f,

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

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.",

keywords = "Imaging, medicine, radiology, respiratory, machine learning, general, artificial intelligence, coronavius, SARS-CoV-2 disease, coronavirus SARS-CoV-2 disease",

author = "Dominic Cushnan and Rosalind Berka and Ottavia Bertolli and Peter Williams and Daniel Schofield and Indra Joshi and Alberto Favaro and Mark Halling-Brown and Gergely Imreh and Emily Jefferson and Neil Sebire and Gerry Reilly and Rodrigues, {Jonathan C L} and Graham Robinson and Susan Copley and Rizwan Malik and Claire Bloomfield and Fergus Gleeson and Moira Crotty and Erika Denton and Jeanette Dickson and Gary Leeming and Hardwick, {Hayley E.} and Kenneth Baillie and Openshaw, {Peter J. M.} and Semple, {Malcolm G.} and Caroline Rubin and Andy Howlett and Rockall, {Andrea G.} and Ayub Bhayat and Daniel Fascia and Cathie Sudlow and Joseph Jacob",

note = "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.",

year = "2021",

month = nov,

doi = "10.1177/20552076211048654",

language = "English",

volume = "7",

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Cushnan, D, Berka, R, Bertolli, O, Williams, P, Schofield, D, Joshi, I, Favaro, A, Halling-Brown, M, Imreh, G, Jefferson, E, Sebire, N, Reilly, G, Rodrigues, JCL, Robinson, G, Copley, S, Malik, R, Bloomfield, C, Gleeson, F, Crotty, M, Denton, E, Dickson, J, Leeming, G, Hardwick, HE, Baillie, K, Openshaw, PJM, Semple, MG, Rubin, C, Howlett, A, Rockall, AG, Bhayat, A, Fascia, D, Sudlow, C & Jacob, J 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, vol. 7. https://doi.org/10.1177/20552076211048654

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 - http://www.scopus.com/inward/record.url?scp=85120463856&partnerID=8YFLogxK

U2 - 10.1177/20552076211048654

DO - 10.1177/20552076211048654

M3 - Article

C2 - 34868617

SN - 2055-2076

VL - 7

JO - Digital Health

JF - Digital Health

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

MICA: InterdisciPlInary Collaboration for EfficienT and Effective Use of Clinical Images in Big Data Health Care RESearch: PICTURES (Programme Grant) (Joint with Universities of Edinburgh and Abertay)

Cite this

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

MICA: InterdisciPlInary Collaboration for EfficienT and Effective Use of Clinical Images in Big Data Health Care RESearch: PICTURES (Programme Grant) (Joint with Universities of Edinburgh and Abertay)

Cite this