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在人工智能 (AI) 模型中对健康数据的二次使用的患者同意:范围审查
Khadijeh Moulaei1, Saeed Akhlaghpour2, Farhad Fatehi2
1Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran; Artificial Intelligence in Medical Sciences Research Center, Smart University of Medical Sciences, Tehran, Iran.
International journal of medical informatics
|March 19, 2025
概括
确保患者对人工智能 (AI) 模型中使用的健康数据的同意是复杂的. 本次审查确定了改善知情同意,数据隐私和医疗保健中道德AI发展的关键障碍和促进者.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 生物伦理学生物伦理学
背景情况:
- 对人工智能培训的健康数据的二次使用为医学进步提供了重大潜力.
- 患者知情同意和社会许可对于道德数据利用和公众信任至关重要.
- 这项研究专门研究了人工智能模型开发的背景下患者同意的做法.
研究的目的:
- 对人工智能中二次健康数据使用的患者同意实践进行范围审查.
- 确定影响知情同意和数据隐私的障碍和促进者.
- 为在医疗保健中实施道德AI的指导方针的制定提供信息.
主要方法:
- 使用Web of Science,PubMed和Scopus进行了全面的范围审查.
- 包括专注于隐私,安全,法律和二级健康数据在AI使用的伦理问题的研究.
- 数据提取和主题分类由两个独立的审查员进行.
主要成果:
- 包括38篇文章,确定了178个障碍和193个促进二次健康数据使用的便利因素.
- 主要主题包括"法律和道德挑战"和"互操作性和数据治理".
- 障碍包括隐私侵犯,不充分的同意和数据共享问题;促进者包括增强的同意,匿名化和道德标准.
结论:
- 患者对人工智能健康数据的同意是复杂的,具有重大法律,道德和技术挑战.
- 建议政策制定者,从业人员和研究人员制定具体的指导方针和战略.
- 改善知情同意对于确保隐私,信任和医疗保健中人工智能的负责任发展至关重要.
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