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

Ethics, Privacy, and Legal Issues (480) Secondary Use of Clinical Data for Research and Surveillance (368) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (833) Validity, Reliability, and Bias (93)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42131, first published .
Opt-In and Opt-Out Consent Procedures for the Reuse of Routinely Recorded Health Data in Scientific Research and Their Consequences for Consent Rate and Consent Bias: Systematic Review

Opt-In and Opt-Out Consent Procedures for the Reuse of Routinely Recorded Health Data in Scientific Research and Their Consequences for Consent Rate and Consent Bias: Systematic Review

Opt-In and Opt-Out Consent Procedures for the Reuse of Routinely Recorded Health Data in Scientific Research and Their Consequences for Consent Rate and Consent Bias: Systematic Review

Authors of this article:

Yvonne de Man1 Author Orcid Image ;   Yvonne Wieland-Jorna1 Author Orcid Image ;   Bart Torensma2 Author Orcid Image ;   Koos de Wit3 Author Orcid Image ;   Anneke L Francke1, 4 Author Orcid Image ;   Mariska G Oosterveld-Vlug1 Author Orcid Image ;   Robert A Verheij1, 5 Author Orcid Image
Article Authors Cited by (9) Tweetations (8) Metrics

Journals

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  3. Joyce M, Segal M, Shukla A. Ethics and Terminology for Opting In and Out. JAMA Internal Medicine 2024;184(4):451 View
  4. Lutomski J, Manders P, Chandna A. From opt-out to opt-in consent for secondary use of medical data and residual biomaterial: An evaluation using the RE-AIM framework. PLOS ONE 2024;19(3):e0299430 View
  5. de Frutos Lucas J, Haugo H. Moving forward with the European health data space: the need to restore trust in European health systems. The Lancet Regional Health - Europe 2024;40:100906 View
  6. Yamamoto K, Ibuki T, Nakazawa E. The Fine Balance Between Complete Data Integrity in Medical Adaptive Machine Learning Systems and the Protection of Research Participants. The American Journal of Bioethics 2024;24(10):101 View
  7. Shen X, Brown H, Tao J, Strobel M, Tong Y, Narayan A, Soh H, Doshi-Velez F. Directions of Technical Innovation for Regulatable AI Systems. Communications of the ACM 2024;67(11):82 View
  8. Anibal J, Huth H, Gunkel J, Gregurick S, Wood B. Simulated misuse of large language models and clinical credit systems. npj Digital Medicine 2024;7(1) View

Books/Policy Documents

  1. Primec A, Pastirk G, Perko I. Balancing Human Rights, Social Responsibility, and Digital Ethics. View