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Ensuring General Data Protection Regulation Compliance and Security in a Clinical Data Warehouse From a University Hospital: Implementation Study.

作者信息

Riou Christine, El Azzouzi Mohamed, Hespel Anne, Guillou Emeric, Coatrieux Gouenou, Cuggia Marc

机构信息

University Hospital of Rennes, 2 rue Henri Le Guilloux, Rennes, 35000, France, 33 0299284215.

DOMASIA, LTSI, UMR INSERM, University of Rennes, Rennes, France.

出版信息

JMIR Med Inform. 2025 Apr 17;13:e63754. doi: 10.2196/63754.


DOI:10.2196/63754
PMID:40244890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12020775/
Abstract

BACKGROUND: The European Union's General Data Protection Regulation (GDPR) has profoundly influenced health data management, with significant implications for clinical data warehouses (CDWs). In 2021, France pioneered a national framework for GDPR-compliant CDW implementation, established by its data protection authority (Commission Nationale de l'Informatique et des Libertés). This framework provides detailed guidelines for health care institutions, offering a unique opportunity to assess practical GDPR implementation in health data management. OBJECTIVE: This study evaluates the real-world applicability of France's CDW framework through its implementation at a major university hospital. It identifies practical challenges for its implementation by health institutions and proposes adaptations relevant to regulatory authorities in order to facilitate research in secondary use data domains. METHODS: A systematic assessment was conducted in May 2023 at the University Hospital of Rennes, which manages data for over 2 million patients through the eHOP CDW system. The evaluation examined 116 criteria across 13 categories using a dual-assessment approach validated by information security and data protection officers. Compliance was rated as met, unmet, or not applicable, with criteria classified as software-related (n=25) or institution-related (n=91). RESULTS: Software-related criteria showed 60% (n=15) compliance, with 28% (n=7) noncompliant or partially compliant and 12% (n=3) not applicable. Institution-related criteria achieved 72% (n=28) compliance for security requirements. Key challenges included managing genetic data, implementing automated archiving, and controlling data exports. The findings revealed effective privacy protection measures but also highlighted areas requiring regulatory adjustments to better support research. CONCLUSIONS: This first empirical assessment of a national CDW compliance framework offers valuable insights for health care institutions implementing GDPR requirements. While the framework establishes robust privacy protections, certain provisions may overly constrain research activities. The study identifies opportunities for framework evolution, balancing data protection with research imperatives.

摘要

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本文引用的文献

[1]
Implementing a Biomedical Data Warehouse From Blueprint to Bedside in a Regional French University Hospital Setting: Unveiling Processes, Overcoming Challenges, and Extracting Clinical Insight.

JMIR Med Inform. 2024-6-24

[2]
Patients' knowledge, preferences, and perspectives about data protection and data control: an exploratory survey.

Front Pharmacol. 2024-2-20

[3]
What prevents us from reusing medical real-world data in research.

Sci Data. 2023-7-13

[4]
Reconciling the biomedical data commons and the GDPR: three lessons from the EUCAN ELSI collaboratory.

Eur J Hum Genet. 2024-1

[5]
Patients' and Members of the Public's Wishes Regarding Transparency in the Context of Secondary Use of Health Data: Scoping Review.

J Med Internet Res. 2023-4-13

[6]
Opportunities and Obstacles to the Development of Health Data Warehouses in Hospitals in France: The Recent Experience of Comprehensive Cancer Centers.

Int J Environ Res Public Health. 2023-1-16

[7]
Towards trust-based governance of health data research.

Med Health Care Philos. 2023-6

[8]
Linking Biomedical Data Warehouse Records With the National Mortality Database in France: Large-scale Matching Algorithm.

JMIR Med Inform. 2022-11-1

[9]
The Challenges of Implementing Comprehensive Clinical Data Warehouses in Hospitals.

Int J Environ Res Public Health. 2022-6-16

[10]
Dynamic consent and personalised medicine.

Med J Aust. 2022-6-20

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