以色列威兹曼科学研究所Eran Segal研究组总结了医疗领域大数据的挑战与希望。该工作2020年1月13日在线发表于国际学术期刊《自然—医学》。

研究人员对医学数据的各种特性进行了表征，这些特性被称为数据的“轴”，描述了生成此类数据时要考虑的因素和权衡取舍，以及可以完成手头任务的分析类型。然后，他们将广泛描述在医疗保健资源中使用大数据的潜力和挑战，旨在促进对大数据资源潜力的不断讨论，以增进对健康和疾病的理解。

研究人员表示，越来越多地以不同的表型水平和不同类型资源的大规模卫生数据产生。与数据生成基础架构和数据分析方法学方面的最新技术进步同时出现的是，有许多说法认为这些事件将彻底改变医疗保健领域，但这些主张仍是一个有争议的问题。应对大数据在医疗保健中的潜力和挑战需要了解数据的特征。

附：英文原文

Title: Axes of a revolution: challenges and promises of big data in healthcare

Author: Smadar Shilo, Hagai Rossman, Eran Segal

Issue&Volume: 2020/01/13

Abstract: Health data are increasingly being generated at a massive scale, at various levels of phenotyping and from different types of resources. Concurrent with recent technological advances in both data-generation infrastructure and data-analysis methodologies, there have been many claims that these events will revolutionize healthcare, but such claims are still a matter of debate. Addressing the potential and challenges of big data in healthcare requires an understanding of the characteristics of the data. Here we characterize various properties of medical data, which we refer to as axes of data, describe the considerations and tradeoffs taken when such data are generated, and the types of analyses that may achieve the tasks at hand. We then broadly describe the potential and challenges of using big data in healthcare resources, aiming to contribute to the ongoing discussion of the potential of big data resources to advance the understanding of health and disease. Health data are being generated and collected at an unprecedented scale, but whether big data will truly revolutionize healthcare is still a matter of much debate.

DOI: 10.1038/s41591-019-0727-5

Source:https://www.nature.com/articles/s41591-019-0727-5