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

Ethics, Privacy, and Legal Issues (617) Registered Report (791) Big Data (307) Tools, Programs and Algorithms (376) Secondary Use of Clinical Data for Research and Surveillance (474) Data Science (357) Security and Privacy of mHealth and uHealth (158)

Published on in Vol 26 (2024)

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

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 (9) 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 2025:49 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

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