Why policymakers should care about "big data" in healthcare
Why policymakers should care about "big data" in healthcare
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DOI：
10.1016/j.hlpt.2018.04.006
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发表时间：
2018-06-01
影响因子：
6
通讯作者：
Saria, Suchi
中科院分区：
文献类型：
--
作者：
Bates, David W.;Heitmueller, Axel;Saria, Suchi
“大数据”一词得到了越来越广泛的关注，人们越来越关注如何使用这些数据来衡量和改善健康和医疗保健。从这些数据中提取信息的分析技术已经变得更加强大，并且现在已经广泛使用。但是要使这些方法最有用，必须有大量的数据，并且使用的障碍应该很低。我们讨论了“智慧城市”如何开始在这一领域投资，以改善其人口的健康；提供关于向研究人员和临床医生以及其他利益相关者提供大量数据的模型方法的例子；讨论改善临床护理的大数据方法的现状，包括具体的例子，然后讨论一些政策问题和成功的监管方法的例子，包括去识别和隐私保护。（三）2018年度医学研究生奖学金。Elsevier Ltd.出版。版权所有。
The term "big data" has gotten increasing popular attention, and there is growing focus on how such data can be used to measure and improve health and healthcare. Analytic techniques for extracting information from these data have grown vastly more powerful, and they are now broadly available. But for these approaches to be most useful, large amounts of data must be available, and barriers to use should be low. We discuss how "smart cities" are beginning to invest in this area to improve the health of their populations; provide examples around model approaches for making large quantities of data available to researchers and clinicians among other stakeholders; discuss the current state of big data approaches to improve clinical care including specific examples, and then discuss some of the policy issues around and examples of successful regulatory approaches, including deidentification and privacy protection. (C) 2018 Fellowship of Postgraduate Medicine. Published by Elsevier Ltd. All rights reserved.