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A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data
Gabriel Alexander Salg1, Maria-Katharina Ganten1, Andreas Michael Bucher2
1Mint Medical GmbH, Heidelberg, Germany.
NPJ Digital Medicine
|April 13, 2021
Summary
A new system for collecting and analyzing COVID-19 imaging data was developed. This standardized approach facilitates cloud-based data sharing and real-time analysis for improved diagnostics and disease monitoring.
Area of Science:
- Radiology and Medical Imaging
- Data Science in Healthcare
- Infectious Disease Research
Background:
- The COVID-19 pandemic presents significant global health and economic challenges.
- Chest computed tomography (CT) is crucial for diagnosing and monitoring COVID-19.
- A standardized method for collecting and analyzing clinical and imaging data is essential.
Purpose of the Study:
- To develop a systematic, computer-assisted electronic data capture system for COVID-19 research.
- To enable cloud-based data collection and real-time analysis of radiological and clinical information.
- To establish a high-quality data framework for pandemic response.
Main Methods:
- Utilized the FDA-approved mint Lesion™ software platform for electronic data capture.
- Integrated radiological findings, radiomics, patient history, and clinical data.
- Aggregated anonymized data from 283 patients across eight European medical centers.
Main Results:
- Demonstrated a proof-of-concept for cloud-based data aggregation and analysis.
- Enabled comparison of aggregated data with existing research literature.
- The system was selected for the national COVID-19 response in Germany.
Conclusions:
- The developed system provides a standardized, efficient approach to COVID-19 data management.
- Facilitates real-time analysis and supports clinical decision-making during the pandemic.
- Highlights the potential of integrated data platforms in public health emergencies.
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