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Big data governance of personal health information and challenges to contextual integrity

机译:个人健康信息的大数据治理以及对环境完整性的挑战

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Pervasive digitization and aggregation of personal health information (PHI), along with artificial intelligence (AI) and other advanced analytical techniques, hold promise of improved health and healthcare services. These advances also pose significant data governance challenges for ensuring value for individual, organizational, and societal stakeholders as well as individual privacy and autonomy. Through a case study of a controversial public-private partnership between Royal Free Trust, a National Health Service hospital system in the United Kingdom, and Alphabet's AI venture DeepMind Health, we investigate how forms of data governance were adapted, as PHI data flowed into new use contexts, to address concerns of contextual integrity, which is violated when personal information collected in one use context moves to another use context with different norms of appropriateness.
机译:个人健康信息(PHI)的普遍数字化和汇总,以及人工智能(AI)和其他高级分析技术,有望改善健康和医疗服务。这些进步也给确保个人,组织和社会利益相关者的价值以及个人隐私和自治带来了重大的数据治理挑战。通过对英国国家卫生服务医院系统Royal Free Trust与Alphabet的AI合资企业DeepMind Health之间有争议的公私合作伙伴关系进行的案例研究,我们研究了如何将PHI数据流入新的数据管理形式时进行调整使用上下文,以解决上下文完整性的问题,当在一个使用上下文中收集的个人信息转移到具有不同适当性规范的另一个使用上下文时,将违反该上下文。

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