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Protecting patient privacy in tabular synthetic health data: a regulatory perspective
Lisa Pilgram1,2,3, Haksoo Ko4, Adeline Tung5
1School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Abstract:
Synthetic tabular data generation (SDG) is increasingly important in healthcare research and innovation while preserving patients' privacy. However, ethical concerns remain, primarily over residual privacy vulnerability and insufficient oversight. This review analyzes the only published SDG regulatory guidelines to date, from United Kingdom, Singapore, and South Korea. All emphasize privacy, acknowledging synthetic data is not inherently free from disclosure risks. Thresholds for sufficiently low risk are yet to be determined.
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