Development of a Secure Cross-Institutional Data Collection System Based on Distributed Standardized EMR Storage.

Area of Science:

• Health Informatics
• Data Security
• Medical Record Management

Background:

• Electronic Medical Record (EMR) data is crucial for research but poses privacy challenges.
• Standardized data formats like SS-MIX are essential for interoperability in Japan.
• Secure methods are needed for secondary data analysis without compromising patient privacy.

Purpose of the Study:

• To develop a secure data collection infrastructure for secondary use of EMR data.
• To enable rapid cross-institutional analyses using standardized EMR data.
• To leverage Private Set Intersection (PSI) for secure data aggregation.

Main Methods:

• Implementation of a secure data collection infrastructure.
• Standardization of EMR data using SS-MIX (Standardized Structured Medical Information eXchange).
• Application of Private Set Intersection (PSI) based on Bloom filters for secure data comparison.

Main Results:

• An experimental intersection operation on approximately 1 million records was completed in under a minute.
• The developed infrastructure demonstrated efficient and secure data handling capabilities.
• The system's performance is anticipated to be representative of real-world applications.

Conclusions:

• The proposed infrastructure effectively facilitates secure and rapid secondary use of EMR data.
• The integration of SS-MIX and PSI offers a promising solution for cross-institutional EMR analysis.
• Further validation with larger datasets is planned to confirm system scalability and robustness.