학술논문
Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic
Document Type
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
Source
Digital Health, Vol 7 (2021)
Subject
Language
English
ISSN
2055-2076
20552076
20552076
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.