Related Experiment Videos
Secondary use of the EHR via pseudonymisation
Klaus Pommerening1, Michael Reng
1Institut für Medizinische Biometrie, Epidemiologie und Informatik, Johannes-Gutenberg-Universität, D-55101 Mainz, Germany. pom@imbei.uni-mainz.de
Studies in Health Technology and Informatics
|March 8, 2005
Summary
Electronic Health Records (EHR) require sophisticated anonymization for long-term research use. This paper presents model architectures for secure, long-term data accumulation and potential re-identification in medical research networks.
Area of Science:
- Health Informatics
- Medical Research
- Data Security
Background:
- Electronic Health Records (EHR) offer valuable secondary data for research.
- Standard anonymization is insufficient for long-term data accumulation and re-identification needs.
Purpose of the Study:
- To describe model architectures for secure EHR data handling.
- To address challenges in long-term data accumulation and re-identification for research.
Main Methods:
- Development of model architectures for medical research networks.
- Focus on sophisticated approaches for anonymization and pseudonymization.
Main Results:
- Proposed model architectures suitable for long-term EHR data management.
- Facilitation of secondary data uses while maintaining patient privacy.
Conclusions:
- Advanced model architectures are crucial for secondary EHR data utilization in research.
- These models support secure, long-term data accumulation and potential re-identification.