Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12300, first published .
Privacy-Preserving Record Grouping and Consent Management Based on a Public-Private Key Signature Scheme: Theoretical Analysis and Feasibility Study

Privacy-Preserving Record Grouping and Consent Management Based on a Public-Private Key Signature Scheme: Theoretical Analysis and Feasibility Study

Privacy-Preserving Record Grouping and Consent Management Based on a Public-Private Key Signature Scheme: Theoretical Analysis and Feasibility Study

Authors of this article:

Stephan Jonas1 Author Orcid Image ;   Simon Siewert2 Author Orcid Image ;   Cord Spreckelsen2 Author Orcid Image

Journals

  1. Jeon S, Seo J, Kim S, Lee J, Kim J, Sohn J, Moon J, Joo H. Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models. Journal of Medical Internet Research 2020;22(11):e19597 View
  2. Pung J, Rienhoff O. Key components and IT assistance of participant management in clinical research: a scoping review. JAMIA Open 2020;3(3):449 View
  3. Rodriguez A, Tuck C, Dozier M, Lewis S, Eldridge S, Jackson T, Murray A, Weir C. Current recommendations/practices for anonymising data from clinical trials in order to make it available for sharing: A scoping review. Clinical Trials 2022;19(4):452 View
  4. Pedrosa M, Zuquete A, Costa C. A Pseudonymisation Protocol With Implicit and Explicit Consent Routes for Health Records in Federated Ledgers. IEEE Journal of Biomedical and Health Informatics 2021;25(6):2172 View

Books/Policy Documents

  1. Ganzinger M, Glaab E, Kerssemakers J, Nahnsen S, Sax U, Schaadt N, Schapranow M, Tiede T. Systems Medicine. View