Your browser doesn't support javascript.
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.
  • Cushnan D; NHSX, UK.
  • Berka R; Faculty, UK.
  • Bertolli O; Faculty, UK.
  • Williams P; NHSX, UK.
  • Schofield D; NHSX, UK.
  • Joshi I; NHSX, UK.
  • Favaro A; Faculty, UK.
  • Halling-Brown M; Scientific Computing, Royal Surrey NHS Foundation Trust, UK.
  • Imreh G; CVSSP, University of Surrey, UK.
  • Jefferson E; Faculty, UK.
  • Sebire NJ; Health Data Research UK, UK.
  • Reilly G; Health Informatics Centre (HIC), School of Medicine, University of Dundee, UK.
  • Rodrigues JCL; Health Data Research UK, UK.
  • Robinson G; Health Data Research UK, UK.
  • Copley S; Department of Radiology, Royal United Hospitals Bath NHS Foundation Trust, UK.
  • Malik R; Department of Radiology, Royal United Hospitals Bath NHS Foundation Trust, UK.
  • Bloomfield C; Imaging Department, Hammersmith Hospital, Imperial College NHS Healthcare Trust, UK.
  • Gleeson F; Department of Radiology, Bolton NHS Foundation Trust, UK.
  • Crotty M; National Consortium of Intelligent Medical Imaging (NCIMI), The Big Data Institute, University of Oxford, UK.
  • Denton E; Dept of Oncology, University of Oxford, UK.
  • Dickson J; National Consortium of Intelligent Medical Imaging (NCIMI), The Big Data Institute, University of Oxford, UK.
  • Leeming G; Dept of Oncology, University of Oxford, UK.
  • Hardwick HE; NHS England & Improvement, UK.
  • Baillie K; Norfolk and Norwich University Hospital Foundation Trust, UK.
  • Openshaw PJ; The Royal College of Radiologists, UK.
  • Semple MG; Institute of Population Health, Faculty of Health and Life Sciences, University of Liverpool, UK.
  • Rubin C; National Institute of Health Research (NIHR) Health Protection Research Unit in Emerging and Zoonotic Infections, UK.
  • Howlett A; Roslin Institute, University of Edinburgh, UK.
  • Rockall AG; National Heart and Lung Institute, Imperial College London, UK.
  • Bhayat A; NIHR Health Protection Research Unit, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, UK.
  • Fascia D; Department of Radiology, University Hospital Southampton NHS Foundation Trust, UK.
  • Sudlow C; NHS England & Improvement, UK.
  • Jacob J; Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.
Digit Health ; 7: 20552076211048654, 2021.
Article in English | MEDLINE | ID: covidwho-1555299
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

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Qualitative research Language: English Journal: Digit Health Year: 2021 Document Type: Article Affiliation country: 20552076211048654

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Qualitative research Language: English Journal: Digit Health Year: 2021 Document Type: Article Affiliation country: 20552076211048654