Centre for Global Health Ethics, Duquesne University, Pittsburgh, PA, USA.
New Bioeth. 2021 Dec;27(4):295-319. doi: 10.1080/20502877.2021.1993055. Epub 2021 Oct 31.
Advances in science and technology have allowed for incredible improvements in healthcare. Additionally, the digital revolution in healthcare provides new ways of collecting and storing large volumes of patient data, referred to as big healthcare data. As a result, healthcare providers are now able to use data to gain a deeper understanding of how to treat an individual in what is referred to as personalized healthcare. Regardless, there are several ethical challenges associated with big healthcare data that affect how personalized healthcare is delivered. To highlight these issues, this article will review the role of big data in personalized healthcare while also discussing the ethical challenges associated with it. The article will also discuss public health surveillance, its implications, and the challenges associated with collecting participants' information. The article will proceed by highlighting next generation technologies, including robotics and 3D printing. The article will conclude by providing recommendations on how patient privacy can be protected in next-generation personalized healthcare.
科学技术的进步使医疗保健得到了令人难以置信的改善。此外，医疗保健领域的数字革命提供了新的方法来收集和存储大量的患者数据，这些数据被称为大医疗保健数据。因此，医疗保健提供者现在可以利用数据更深入地了解如何对被称为个性化医疗保健的个体进行治疗。然而，大医疗保健数据存在一些伦理挑战，这些挑战会影响个性化医疗保健的实施方式。为了突出这些问题，本文将回顾大数据在个性化医疗保健中的作用，同时讨论与之相关的伦理挑战。本文还将讨论公共卫生监测及其影响，以及收集参与者信息所面临的挑战。文章将接着强调包括机器人技术和 3D 打印在内的下一代技术。最后，文章将提供有关如何在下一代个性化医疗保健中保护患者隐私的建议。
