Multi-centric universal pseudonymisation for secondary use of the EHR

Area of Science:

• Health Informatics
• Data Privacy
• Computational Biology

Background:

• Electronic Health Records (EHR) contain sensitive patient data.
• Secondary use of EHR data for research poses privacy risks.
• Multi-centric studies require secure data linkage across institutions.

Purpose of the Study:

• To address the challenge of protecting patient data privacy when EHR data is used for secondary purposes.
• To introduce a novel pseudonymisation system for multi-centric studies.
• To ensure consistent patient identification across different data sources.

Main Methods:

• Focus on multi-centric studies utilizing Grid technologies for data linkage.
• Introduction of a multi-centric universal pseudonymisation system.
• Development of a method for generating consistent pseudonyms for patient identities.

Main Results:

• The proposed pseudonymisation system ensures that a patient's identity generates the same pseudonym across all participating study centers.
• Enables secure linking of diverse data sources in multi-centric research.
• Facilitates secondary use of EHR data for research while maintaining patient privacy.

Conclusions:

• The developed pseudonymisation system effectively protects patient data privacy in secondary research.
• It is particularly beneficial for multi-centric studies requiring data integration.
• Enhances the utility of EHR data for clinical, epidemiological, and health economic research.