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A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data
- Source :
- npj Digital Medicine, 4 (1), 69, npj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021), NPJ Digital Medicine
- Publication Year :
- 2021
- Publisher :
- Nature Research, 2021.
-
Abstract
- The COVID-19 pandemic has worldwide individual and socioeconomic consequences. Chest computed tomography has been found to support diagnostics and disease monitoring. A standardized approach to generate, collect, analyze, and share clinical and imaging information in the highest quality possible is urgently needed. We developed systematic, computer-assisted and context-guided electronic data capture on the FDA-approved mint LesionTM software platform to enable cloud-based data collection and real-time analysis. The acquisition and annotation include radiological findings and radiomics performed directly on primary imaging data together with information from the patient history and clinical data. As proof of concept, anonymized data of 283 patients with either suspected or confirmed SARS-CoV-2 infection from eight European medical centers were aggregated in data analysis dashboards. Aggregated data were compared to key findings of landmark research literature. This concept has been chosen for use in the national COVID-19 response of the radiological departments of all university hospitals in Germany.
- Subjects :
- medicine.medical_specialty
Electronic data capture
Computer science
Computer applications to medicine. Medical informatics
MEDLINE
R858-859.7
Medizin
Medicine (miscellaneous)
Health Informatics
Cloud computing
Article
030218 nuclear medicine & medical imaging
Databases
03 medical and health sciences
Clinical trials
0302 clinical medicine
Health Information Management
medicine
Medical physics
Medical history
Data collection
business.industry
Standardized approach
DATA processing & computer science
Computer Science Applications
Proof of concept
030220 oncology & carcinogenesis
Radiological weapon
Medical imaging
ddc:004
business
Subjects
Details
- Language :
- English
- ISSN :
- 23986352
- Database :
- OpenAIRE
- Journal :
- npj Digital Medicine, 4 (1), 69, npj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021), NPJ Digital Medicine
- Accession number :
- edsair.doi.dedup.....3ceac1dd301a53e8bbd1d5f525e4a8d6
- Full Text :
- https://doi.org/10.5445/ir/1000131867