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A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and
Hammam Abu Attieh1, Diogo Telmo Neves1, Mariana Guedes2,3,4
1Medical Informatics Group, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
JMIR Medical Informatics
|April 24, 2024
Summary
The ORCHESTRA Pseudonymization Tool (OPT) enables rapid deployment of pseudonymization across institutions, facilitating large-scale collaborative biomedical research. This open-source tool ensures data privacy while managing biosamples efficiently.
Area of Science:
- Biomedical research
- Data management
- Privacy-preserving technologies
Background:
- Rapid collaborative research is crucial for biomedicine, necessitating robust data and biosample sharing.
- Establishing large research networks faces challenges in interoperability, data protection, and common policies.
- Pseudonymization is vital for privacy by design in biomedical research, detaching identifiers while allowing reidentification.
Purpose of the Study:
- To address the lack of rapidly deployable, cross-institutional pseudonymization tools.
- To present the ORCHESTRA Pseudonymization Tool (OPT) developed for large-scale research networks.
- To overcome IT infrastructure heterogeneity and data processing limitations.
Main Methods:
- Developed the OPT leveraging common office suite runtime environments (Microsoft Office, LibreOffice).
- Ensured high configurability for subject/biosample registration, record linkage, and label printing.
- Focused on efficient algorithms for pseudonymizing large datasets, validated through comprehensive evaluation.
Main Results:
- OPT is deployable on Windows, Linux, and MacOS, offering multi-user support and customizability.
- Successfully deployed across 13 institutions in 11 European countries within the ORCHESTRA network.
- Managed data for over 30,000 subjects and 15,000 biosamples, printing over 10,000 labels.
- Demonstrated efficient performance, pseudonymizing 100,000 subjects in 10 seconds (Excel) and 54 seconds (LibreOffice).
Conclusions:
- Innovative solutions are needed to streamline the establishment of large research networks.
- The OPT facilitates rapid deployment of pseudonymization and biosample management in research networks.
- The tool's open-source nature, configurability, and efficiency make it a valuable asset for collaborative biomedical research.
