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

Scoping Review Protocols (250) Clinical Informatics (1325) Development and Evaluation of Research Methods, Instruments and Tools (744) Electronic Health Records (1319) Security in Digital Health (52) Ethics, Privacy, and Legal Issues (617)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46471, first published .
Data Quality– and Utility-Compliant Anonymization of Common Data Model–Harmonized Electronic Health Record Data: Protocol for a Scoping Review

Data Quality– and Utility-Compliant Anonymization of Common Data Model–Harmonized Electronic Health Record Data: Protocol for a Scoping Review

Data Quality– and Utility-Compliant Anonymization of Common Data Model–Harmonized Electronic Health Record Data: Protocol for a Scoping Review

Authors of this article:

Gaetan Kamdje Wabo1 Author Orcid Image ;   Fabian Prasser2 Author Orcid Image ;   Kerstin Gierend1 Author Orcid Image ;   Fabian Siegel1, 3 Author Orcid Image ;   Thomas Ganslandt4 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Boehm D, Strantz C, Christoph J, Busch H, Ganslandt T, Unberath P. Data Visualization Support for Tumor Boards and Clinical Oncology: Protocol for a Scoping Review. JMIR Research Protocols 2024;13:e53627 View
  2. Fusco R, Granata V, Setola S, Pupo D, Petrosino T, Lamanna C, Castaldo M, Riga M, Karaboue M, Izzo F, Petrillo A. Visual Perception and Pre-Attentive Attributes in Oncological Data Visualisation. Bioengineering 2025;12(7):782 View

Books/Policy Documents

  1. Tabari P, De Rosa M, Costagliola G, Fuccella V. Computational Science and Its Applications – ICCSA 2025 Workshops. View