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The snow system: A decentralized medical data processing system
Johan Gustav Bellika1, Torje Starbo Henriksen, Kassaye Yitbarek Yigzaw
1Norwegian Centre for Integrated Care and Telemedicine (NST), 35, 9038, Tromso, Norway, johan.gustav.bellika@telemed.no.
Methods in Molecular Biology (Clifton, N.J.)
|November 24, 2014
Summary
Decentralized systems for electronic health record data reuse offer secure computation without data exposure. The Snow system exemplifies this approach, enabling healthcare transformation through protected data analysis.
Area of Science:
- Health Informatics
- Data Science
- Computer Science
Background:
- Electronic health record (EHR) data reuse can transform healthcare.
- Existing solutions include centralized, data warehouse, and decentralized approaches.
- Decentralized systems offer potential for secure EHR data utilization.
Purpose of the Study:
- To focus on decentralized systems for EHR data reuse.
- To describe a system that moves computation to data, not vice versa.
- To introduce the Snow system as a model for decentralized medical data processing.
Main Methods:
- Categorizing decentralized systems based on data or computation mobility.
- Describing the architecture and components of the Snow system.
- Detailing the requirements for sustainable decentralized health data systems.
Main Results:
- A decentralized system (Snow) enables EHR data computation without data movement or exposure.
- This approach ensures privacy and security of sensitive health information.
- The Snow system demonstrates a viable model for collaborative EHR data analysis.
Conclusions:
- Decentralized systems that move computation to data are ideal for secure EHR reuse.
- The Snow system provides a practical implementation of this decentralized approach.
- Sustainability and institutional participation are key for the success of such systems.
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