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Ethics, Privacy, and Legal Issues (790) Tools, Programs and Algorithms (570) Big Data (427) Security and Privacy of mHealth and uHealth (214) Secondary Use of Clinical Data for Research and Surveillance (616) Registered Report (1505) Data Science (687)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49445, first published .
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The Costs of Anonymization: Case Study Using Clinical Data

The Costs of Anonymization: Case Study Using Clinical Data

Authors of this article:

Lisa Pilgram1, 2 Author Orcid Image ;   Thierry Meurers3 Author Orcid Image ;   Bradley Malin4 Author Orcid Image ;   Elke Schaeffner5 Author Orcid Image ;   Kai-Uwe Eckardt2, 6 Author Orcid Image ;   Fabian Prasser3 Author Orcid Image ;   GCKD Investigators7
Article Authors Cited by (16) Tweetations (5) Metrics

Journals

  1. 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
  2. Meurers T, Halilovic M, Otte K, Despraz J, Kaabachi B, Kulynych B, Raisaro J, Prasser F. Phantom Anonymization: Adversarial testing for membership inference risks in anonymized health data. Computers in Biology and Medicine 2025;196:110738 View
  3. Sun J. Privacy-Utility Tradeoff: Studying the Boundaries of Anonymization in Health Data Visualization Design. International Scientific Technical and Economic Research 2025;3(3):49 View
  4. Rodriguez A, Williams L, Lewis S, Sinclair P, Eldridge S, Jackson T, Weir C. Evaluating re-identification risks scores in publicly available clinical trial datasets: Insights and implications. Clinical Trials 2025;22(6):649 View
  5. Barouhou A, Benhlima L, Bah S. Unlocking the potential of deep learning in brain stroke prognosis: a systematic literature review. Artificial Intelligence Review 2025;58(12) View
  6. Pilgram L, El Kababji S, Liu D, El Emam K. Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data. Journal of the American Medical Informatics Association 2025;32(12):1843 View
  7. Jaffe D, Malin B, Hendricks-Sturrup R. A real-world data challenge: guidance for aligning data privacy compliance and fit-for-purpose usability. Health Affairs Scholar 2025;3(11) View
  8. Aljably R, Altman M. Assessing Local Differential Privacy for Compliance with the Personal Data Protection Law in Integrated Data Systems. PLOS One 2026;21(3):e0342692 View
  9. Halilovic M, Meurers T, Alibone M, Ludwig M, Tiwald P, Sieberg-Riedel N, Wolter S, Kühnel L, Hess S, Prasser F, Otte K. A case study comparing anonymized and synthetic health insurance claims data for medication safety assessments. npj Digital Medicine 2026;9(1) View
  10. Abdelhameed S, Abdelkader T, Badr N, Abo-Alian A. Quality metrics for Privacy-Preserving Data Mining: a systematic review, phase-based classification, and critical synthesis. International Journal of Data Science and Analytics 2026;22(1) View
  11. Sankar S. Advancing Data Privacy Under GDPR: A Bayesian Approach to Structured Risk Quantification in Medical DICOM Data. Journal of Imaging Informatics in Medicine 2026 View
  12. Kamdje Wabo G, Sokolowski P, Jannesari Ladani M, Hagmann M, Ganslandt T, Siegel F. Quantifying the Impact of Anonymization-Induced Clinical Data Quality Loss: A Methodological Case Study Using Primary Diagnosis Codes and Hospital Length of Stay (Preprint). JMIR Medical Informatics 2026 View

Books/Policy Documents

  1. Rush L, Schmid M, Raptis G. Information and Communication Technology. View

Conference Proceedings

  1. Chhillar S, Righi M, Sutter R, Kornaropoulos E. Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security. Exposing Privacy Risks in Anonymizing Clinical Data: Combinatorial Refinement Attacks on k -Anonymity Without Auxiliary Information View
  2. Lee G, Jeong S, Jhang K. 2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET). Learning rPPG without Facial Identity View
  3. Rosa V, Inocêncio G, Martina J. Anais do XXVI Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2026). Privacy without Loss of Utility: Evaluation of De-identification Techniques in Deep Learning for Intensive Care Units View