What's so different about big data?. A primer for clinicians trained to think epidemiologically.
What's so different about big data?. A primer for clinicians trained to think epidemiologically.
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DOI：
10.1513/annalsats.201405-185as
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发表时间：
2014-09-01
影响因子：
8.3
通讯作者：
Liu, Vincent
中科院分区：
文献类型：
--
作者：
Iwashyna, Theodore J;Liu, Vincent
计算机科学中的大数据运动给什么是数据、如何分析这些数据以及如何处理这些数据带来了戏剧性的变化。尽管它在商界越来越普遍，但直到最近才开始影响临床研究和实践。由于大数据来自与临床流行病学不同的知识传统，执业临床医生可能不太熟悉这些想法。大数据在医疗保健中的作用越来越大，潜力巨大。本次揭秘数据研讨会确定了与医疗保健相关的大数据的四个主要方面。首先是将许多新类型的数据元素纳入临床研究和操作，其数量以前不是常规使用的。其次，大数据提出了不同类型的数据问题，并强调明确关联但不是因果关系的分析的有用性。第三，大数据带来了新的分析方法来应对这些问题。第四，大数据体现了一系列新的愿望，即打破研究数据和运营数据之间的区别，并将它们合并为一个不断学习的健康系统。
The Big Data movement in computer science has brought dramatic changes in what counts as data, how those data are analyzed, and what can be done with those data. Although increasingly pervasive in the business world, it has only recently begun to influence clinical research and practice. As Big Data draws from different intellectual traditions than clinical epidemiology, the ideas may be less familiar to practicing clinicians. There is an increasing role of Big Data in health care, and it has tremendous potential. This Demystifying Data Seminar identifies four main strands in Big Data relevant to health care. The first is the inclusion of many new kinds of data elements into clinical research and operations, in a volume not previously routinely used. Second, Big Data asks different kinds of questions of data and emphasizes the usefulness of analyses that are explicitly associational but not causal. Third, Big Data brings new analytic approaches to bear on these questions. And fourth, Big Data embodies a new set of aspirations for a breaking down of distinctions between research data and operational data and their merging into a continuously learning health system.