This paper is in the following e-collection/theme issue:

Secondary Use of Clinical Data for Research and Surveillance (399) Advanced Data Analytics in eHealth (154) Big Data (271) Research Infrastructures and Registries (68) New Methods (1005) Design, Usability, and Evaluation of Research Instruments, Scales, and Measures (66) Research Instruments, Questionnaires, and Tools (632)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49646, first published .
A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and Evaluation Study

A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and Evaluation Study

A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and Evaluation Study

Authors of this article:

Hammam Abu Attieh1 Author Orcid Image ;   Diogo Telmo Neves1 Author Orcid Image ;   Mariana Guedes2, 3, 4 Author Orcid Image ;   Massimo Mirandola5 Author Orcid Image ;   Chiara Dellacasa6 Author Orcid Image ;   Elisa Rossi6 Author Orcid Image ;   Fabian Prasser1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Deineko I. Impact of regional metastases on prognosis of patients with thyroid carcinoma. INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine) 2024;20(3):185 View
  2. Abu Attieh H, Müller A, Wirth F, Prasser F. Pseudonymization tools for medical research: a systematic review. BMC Medical Informatics and Decision Making 2025;25(1) View
  3. Halilovic M, Meurers T, Otte K, Prasser F. Parallel privacy preservation through partitioning (P4): a scalable data anonymization algorithm for health data. BMC Medical Informatics and Decision Making 2025;25(1) View