Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic
oleh: 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
| Format: | Article |
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| Diterbitkan: | SAGE Publishing 2021-11-01 |
Deskripsi
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.