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Pseudonymization tools for medical research: a systematic review.

Hammam Abu Attieh1, Armin Müller2, Felix Nikolaus Wirth2

  • 1Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Medical Informatics Group, Charitéplatz 1, 10117, Berlin, Germany. hammam.abu-attieh@bih-charite.de.

BMC Medical Informatics and Decision Making
|March 13, 2025
PubMed
Summary

Choosing the right pseudonymization tool is crucial for secure medical research. This systematic review compares available tools based on project needs, offering targeted recommendations for researchers.

Keywords:
Biomedical researchData protectionPseudonymizationReviewServiceSoftwareTool

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Area of Science:

  • Medical Informatics
  • Data Security
  • Research Methodology

Background:

  • Pseudonymization is vital for secure and compliant medical data research.
  • Direct identifiers are separated from research data using this technique.
  • A variety of pseudonymization tools exist, posing a selection challenge for researchers.

Purpose of the Study:

  • To systematically compare existing pseudonymization tools.
  • To aid researchers in selecting appropriate tools for their specific projects.

Main Methods:

  • A systematic review following PRISMA guidelines was conducted.
  • Literature searches in PubMed and Web of Science identified pseudonymization tools.
  • Tools were evaluated against criteria for single/multi-center use, project duration, data scale, and integration.

Main Results:

  • 92 papers were reviewed, identifying 20 pseudonymization tools.
  • 10 tools met inclusion criteria and were assessed.
  • Significant differences were found, influencing tool suitability for diverse research needs.

Conclusions:

  • The pseudonymization tool landscape is diverse, requiring careful selection.
  • Recommendations include SaaS solutions for centralized use, tools for retrospective data, and options for local deployment in various project sizes.