合成数据在医学上:对患者分析的法律和伦理考虑
Maja Nisevic1, Dusko Milojevic1, Daniela Spajic1
1CiTiP KUL, Belgium.
Computational and structural biotechnology journal
|June 16, 2025
概括
合成数据有助于医疗保健创新,但需要谨慎的治理. 本研究提出了针对合成数据的欧盟定制的法律和道德框架,解决了患者分析中的隐私和道德问题.
科学领域:
- 数字健康数字健康
- 生物伦理学生物伦理学
- 卫生法 法律 卫生法
背景情况:
- 合成数据生成正在医疗保健中增加,用于保护隐私的研究和算法培训.
- 现有的法律和道德影响,特别是在欧盟内部,尚未完全理解.
- 数据创新与数据保护之间存在紧张关系,需要明确的治理.
研究的目的:
- 根据欧盟法律,为合成数据治理提出一个差异化的法律和道德框架.
- 根据GDPR,人工智能法和MDR分析合成数据的监管范围.
- 使用合成数据检查患者分析的伦理考虑.
主要方法:
- 根据生成和风险,将合成数据分为完全,部分和混合类型.
- 在欧盟的一般数据保护条例,人工智能法和医疗器械条例中将这种分类定位.
- 将基础的生物医学伦理原则 (自主性,公益性,非恶性,正义) 应用于合成数据分析.
主要成果:
- 完全合成的数据可能不是个人数据,但其在临床系统中的使用引发了公平性,偏见和问责问题.
- 合成数据在决策系统中的下游应用需要进行道德审查.
- 现有的欧盟法规为合成数据治理提供了一个背景,但需要具体的指导.
结论:
- 定制的法律和道德框架对于欧盟对合成数据的管理至关重要.
- 综合数据生成需要特定部门的标准和质量基准.
- 将技术进步与法律合规性和道德完整性保持一致,对于数字健康创新至关重要.
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