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

Ethics, Privacy, and Legal Issues (485) Clinical Informatics (1042) Secondary Use of Clinical Data for Research and Surveillance (373)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19597, first published .
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

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

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

Authors of this article:

Seungho Jeon1 Author Orcid Image ;   Jeongeun Seo1 Author Orcid Image ;   Sukyoung Kim1 Author Orcid Image ;   Jeongmoon Lee2 Author Orcid Image ;   Jong-Ho Kim3 Author Orcid Image ;   Jang Wook Sohn4 Author Orcid Image ;   Jongsub Moon1 Author Orcid Image ;   Hyung Joon Joo5 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. Kaur N, Bhattacharya S, Butte A. Big Data in Nephrology. Nature Reviews Nephrology 2021;17(10):676 View
  2. Wang J, Lin W. Privacy-Preserving Anonymity for Periodical Releases of Spontaneous Adverse Drug Event Reporting Data: Algorithm Development and Validation. JMIR Medical Informatics 2021;9(10):e28752 View
  3. Tak Y, You S, Han J, Kim S, Kim G, Lee Y. Perceived Risk of Re-Identification in OMOP-CDM Database: A Cross-Sectional Survey. Journal of Korean Medical Science 2022;37(26) View
  4. Park K, Cho M, Song M, Yoo S, Baek H, Kim S, Kim K, Vathy-Fogarassy Á. Exploring the potential of OMOP common data model for process mining in healthcare. PLOS ONE 2023;18(1):e0279641 View
  5. Park J, Lee J, Moon M, Park Y, Rho M. Cancer Research Line (CAREL): Development of Expanded Distributed Research Networks for Prostate Cancer and Lung Cancer. Technology in Cancer Research & Treatment 2023;22 View
  6. Im E, Kim H, Lee H, Jiang X, Kim J. Exploring the tradeoff between data privacy and utility with a clinical data analysis use case. BMC Medical Informatics and Decision Making 2024;24(1) View
  7. Martinson A, Chin A, Butte M, Rider N. Artificial Intelligence and Machine Learning for Inborn Errors of Immunity: Current State and Future Promise. The Journal of Allergy and Clinical Immunology: In Practice 2024;12(10):2695 View
  8. Joo S, Yang S, Lee S, Park S, Park T, Rhee S, Cha J, Rhie S, Hwang H, Kim Y, Chung E. Trends in Antidiabetic Drug Use and Safety of Metformin in Diabetic Patients with Varying Degrees of Chronic Kidney Disease from 2010 to 2021 in Korea: Retrospective Cohort Study Using the Common Data Model. Pharmaceuticals 2024;17(10):1369 View

Books/Policy Documents

  1. Malpani S, Van Booven D, Gasca R, Collazo I. Artificial Intelligence in Urologic Malignancies. View