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A RESTful interface to pseudonymization services in modern web applications.

Martin Lablans1, Andreas Borg2, Frank Ückert3

  • 1Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Obere Zahlbacher Straße 69, Mainz, 55131, Germany. lablans@uni-mainz.de.

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Summary
This summary is machine-generated.

A new RESTful pseudonymization interface simplifies patient record linkage for medical research networks. This web-friendly solution offers secure, transparent pseudonymization using modern web technologies for improved data management.

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Area of Science:

  • Health Informatics
  • Computer Science
  • Medical Research Infrastructure

Background:

  • Medical research networks require robust record linkage and pseudonymization for patient data.
  • Existing pseudonymization solutions are often outdated, complex, or unsuitable for web-based infrastructures.
  • A trusted third party is essential for managing identifying data separately from medical records.

Purpose of the Study:

  • To propose a novel RESTful pseudonymization interface for web applications.
  • To address the limitations of current pseudonymization services in internet-based research.
  • To facilitate transparent pseudonymization for users in web-based medical research scenarios.

Main Methods:

  • Developed a resource-oriented architecture based on the Representational State Transfer (REST) architectural style.
  • Modeled use-cases as resources manipulated via standard HTTP verbs.
  • Implemented a Java Servlet as a reference proof-of-concept, supporting real-time re-identification via temporary identifiers.

Main Results:

  • Identified key resources: Sessions for state management, Tokens for authorization, and Patients for pseudonym management.
  • The interface is firewall-friendly, relying solely on HTTP calls.
  • The reference implementation demonstrated production stability and suitability for web applications.

Conclusions:

  • The RESTful pseudonymization interface effectively meets the demands of web-based medical research.
  • Enables the development of applications where pseudonymization is seamless for end-users.
  • The open-source implementation provides a scientifically grounded algorithm for generating non-speaking pseudonyms.