@article{d35f8e8d004748a7911a8f72e01ed47b,
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, artificial intelligence, coronavirus SARS-CoV-2 disease, general, machine learning, medicine, radiology, respiratory",
author = "{NCCID Collaborative} and 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 Sebire, {Neil J.} 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 and Daniel Alexander and Melissa Alexander and Nicholas Ashley and Hena Aziz and Babar, {Judith L.} and Barbar, {Ramona Rita} and Angela Bates and Oscar Bennett and Alison Bettany and Bahadar Bhatia and Angela Bowen and Hannah Bown and Doreen Brookes and Stephen Buckle and Paul Burfield and Paul Burford and Leila Ismail",
note = "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: {\textcopyright} The Author(s) 2021.",
year = "2021",
month = nov,
doi = "10.1177/20552076211048654",
language = "English",
volume = "7",
journal = "Digital Health",
issn = "2055-2076",
publisher = "SAGE Publications Inc.",
}
