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需要制定健康数据交易披露要求,以平衡透明度,隐私和逐步使用
Matthew G Crowson1, Jade Z H Tan2, Jessilyn Dunn3
1Department of Otolaryngology-Head and Neck Surgery, Mass Eye & Ear, Boston, MA, USA; Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston, MA, USA.
The Lancet. Digital health
|March 6, 2026
概括
健康数据的商业化引发了伦理方面的担忧. 需要新的法规来确保以患者为中心的数据处理和卫生人工智能 (AI) 的透明度.
科学领域:
- 医疗信息学 医疗信息学
- 生物伦理学生物伦理学
- 人工智能的人工智能
背景情况:
- 通过电子健康记录 (EHR) 增加健康信息的数字化,导致健康数据的商品化.
- 这一趋势带来了重大的伦理挑战,需要对数据治理进行重新评估.
- 现有的监管框架很难跟上健康数据交易的复杂性.
研究的目的:
- 批判性地评估健康数据商品化的影响.
- 探索与健康数据商品化和人工智能相关的伦理挑战.
- 倡导加强监管措施和以患者为中心的健康数据管理方法.
主要方法:
- 对当前在健康数据商品化方面的做法进行批判性评估.
- 分析医疗保健人工智能进步与数据透明度之间的相互作用.
- 根据新的技术和伦理要求,对现有法规进行审查.
主要成果:
- 目前的法规不足以解决健康数据交易和人工智能集成的细微差别.
- 2025年1月美国关于人工智能的行政命令强调了对强大的数据管理和隐私的需求.
- 以患者为中心的方法对于保持对医疗技术的信任至关重要.
结论:
- 全面的监管框架对于促进透明度和保护患者数据至关重要.
- 医疗保健中的有效数据管理必须优先考虑诚信和尊重患者权利.
- 加强数据治理对于培养对不断发展的健康技术的信任至关重要.
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