University of Michigan Law School, Ann Arbor, MI, USA.
Project on Personalized Medicine, Artificial Intelligence, & Law, Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics, Cambridge, MA, USA.
Nat Med. 2019 Jan;25(1):37-43. doi: 10.1038/s41591-018-0272-7. Epub 2019 Jan 7.
Big data has become the ubiquitous watch word of medical innovation. The rapid development of machine-learning techniques and artificial intelligence in particular has promised to revolutionize medical practice from the allocation of resources to the diagnosis of complex diseases. But with big data comes big risks and challenges, among them significant questions about patient privacy. Here, we outline the legal and ethical challenges big data brings to patient privacy. We discuss, among other topics, how best to conceive of health privacy; the importance of equity, consent, and patient governance in data collection; discrimination in data uses; and how to handle data breaches. We close by sketching possible ways forward for the regulatory system.
大数据已经成为医学创新无处不在的口号。机器学习技术和人工智能的快速发展尤其有望从资源分配到复杂疾病的诊断彻底改变医学实践。但是,大数据带来了巨大的风险和挑战,其中包括患者隐私的重大问题。在这里,我们概述了大数据给患者隐私带来的法律和伦理挑战。我们讨论了如何最好地构想健康隐私;数据收集的公平性、同意和患者治理的重要性;数据使用中的歧视;以及如何处理数据泄露。最后,我们勾勒出监管系统可能的前进方向。