The Evolving Use of Electronic Health Records (EHR) for Research

The Evolving Use of Electronic Health Records (EHR) for Research
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DOI:
10.1016/j.semradonc.2019.05.010
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发表时间:
2019-10-01
影响因子:
3.5
通讯作者:
Warner, Jeremy L.
Warner, Jeremy L.
中科院分区:
医学2区
文献类型:
--
作者:
Kim, Ellen;Rubinstein, Samuel M.;Warner, Jeremy L.

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电子健康记录 (EHR) 已以某种形式在美国大多数医疗保健系统中成功实施。电子病历的二次用途有所增加,特别是用于研究。 EHR 数据庞大、异构、不完整、嘈杂,并且主要是为了研究以外的目的而创建的。这带来了许多挑战,其中许多挑战已开始通过应用计算机科学人工智能技术(例如自然语言处理和机器学习)来克服。尽管我们距离“完整的电子病历”还很远,但电子病历正在逐渐重新设计,以促进未来的研究。 (C) 2019 Elsevier Inc. 保留所有权利。
Electronic health records (EHR) have been implemented successfully in a majority of United States healthcare systems in some form. There has been a rise in secondary uses of EHR, especially for research. EHR data is large, heterogenous, incomplete, noisy, and primarily created for purposes other than research. This presents many challenges, many of which are beginning to be overcome with the application of computer science artificial intelligence techniques, such as natural language processing and machine learning. EHR are gradually being redesigned to facilitate future research, though we are still far from a "complete EHR." (C) 2019 Elsevier Inc. All rights reserved.