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Perceived Risk of Re-Identification in OMOP-CDM Database: A Cross-Sectional Survey

Authors
 Yae Won Tak  ;  Seng Chan You  ;  Jeong Hyun Han  ;  Soon-Seok Kim  ;  Gi-Tae Kim  ;  Yura Lee 
Citation
 JOURNAL OF KOREAN MEDICAL SCIENCE, Vol.37(26) : e205, 2022-07 
Journal Title
JOURNAL OF KOREAN MEDICAL SCIENCE
ISSN
 1011-8934 
Issue Date
2022-07
MeSH
Biomedical Research* ; Cross-Sectional Studies ; Databases, Factual ; Humans ; Reproducibility of Results
Keywords
Common Data Model ; De-identification ; Privacy
Abstract
Background: The advancement of information technology has immensely increased the quality and volume of health data. This has led to an increase in observational study, as well as to the threat of privacy invasion. Recently, a distributed research network based on the common data model (CDM) has emerged, enabling collaborative international medical research without sharing patient-level data. Although the CDM database for each institution is built inside a firewall, the risk of re-identification requires management. Hence, this study aims to elucidate the perceptions CDM users have towards CDM and risk management for re-identification.

Methods: The survey, targeted to answer specific in-depth questions on CDM, was conducted from October to November 2020. We targeted well-experienced researchers who actively use CDM. Basic statistics (total number and percent) were computed for all covariates.

Results: There were 33 valid respondents. Of these, 43.8% suggested additional anonymization was unnecessary beyond, "minimum cell count" policy, which obscures a cell with a value lower than certain number (usually 5) in shared results to minimize the liability of re-identification due to rare conditions. During extract-transform-load processes, 81.8% of respondents assumed structured data is under control from the risk of re-identification. However, respondents noted that date of birth and death were highly re-identifiable information. The majority of respondents (n = 22, 66.7%) conceded the possibility of identifier-contained unstructured data in the NOTE table.

Conclusion: Overall, CDM users generally attributed high reliability for privacy protection to the intrinsic nature of CDM. There was little demand for additional de-identification methods. However, unstructured data in the CDM were suspected to have risks. The necessity for a coordinating
Files in This Item:
T202202461.pdf Download
DOI
10.3346/jkms.2022.37.e205
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
You, Seng Chan(유승찬) ORCID logo https://orcid.org/0000-0002-5052-6399
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/189423
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