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<p>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.</p>

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Protecting patient privacy in tabular synthetic health data: a regulatory perspective

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月28日

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  • Lisa Pilgram,
  • Haksoo Ko,
  • Adeline Tung,
  • Khaled El Emam

摘要

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.