Big Data will be an integral part of the next generation of technological developments—allowing us to gain new insights from the vast quantities of data being produced by modern life. There is significant potential for the application of Big Data to healthcare, but there are still some impediments to overcome, such as fragmentation, high costs, and questions around data ownership. Envisioning a future role for Big Data within the digital healthcare context means balancing the benefits of improving patient outcomes with the potential pitfalls of increasing physician burnout due to poor implementation leading to added complexity. Oncology, the field where Big Data collection and utilization got a heard start with programs like TCGA and the Cancer Moon Shot, provides an instructive example as we see different perspectives provided by the United States (US), the United Kingdom (UK) and other nations in the implementation of Big Data in patient care with regards to their centralization and regulatory approach to data. By drawing upon global approaches, we propose recommendations for guidelines and regulations of data use in healthcare centering on the creation of a unique global patient ID that can integrate data from a variety of healthcare providers. In addition, we expand upon the topic by discussing potential pitfalls to Big Data such as the lack of diversity in Big Data research, and the security and transparency risks posed by machine learning algorithms.

中文翻译：

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数字医疗保健中的大数据：经验教训和一般实践建议

大数据将成为下一代技术发展不可或缺的一部分，使我们能够从现代生活产生的大量数据中获得新的见解。大数据在医疗保健领域的应用潜力巨大，但仍存在一些障碍需要克服，例如碎片化、高成本和数据所有权问题。展望大数据在数字医疗保健环境中的未来角色，意味着要平衡改善患者治疗效果的好处与由于实施不善导致复杂性增加而增加医生倦怠的潜在陷阱。肿瘤学是大数据收集和利用的领域，通过 TCGA 和 Cancer Moon Shot 等项目获得了良好的开端，它提供了一个具有启发性的例子，因为我们看到美国 (US)、英国 (UK) 和其他国家提供的不同观点。各国在患者护理中实施大数据的数据集中化和监管方法。通过借鉴全球方法，我们提出了医疗保健数据使用指南和法规的建议，重点是创建可以集成来自各种医疗保健提供者的数据的独特的全球患者 ID。此外，我们还通过讨论大数据的潜在陷阱（例如大数据研究缺乏多样性以及机器学习算法带来的安全性和透明度风险）来扩展该主题。