Affiliation:
1. Research Center for Healthcare Data Science, Zhejiang Laboratory, China
2. Zhejiang University, China
Abstract
Clinical studies need multi-center, long-term patient data, which are difficult to align. We present a blockchain-based approach that uses cryptographic matching and attribute-based encryption for secure data alignment, aggregation, and access. It improves efficiency, lowers data synchronization, and facilitates cross-institutional patient data association and visualization.
Cited by
1 articles.
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