Big Data and the Electronic Health Record

被引：16

作者：

Peters, Steve G. ^{[1
]}

Buntrock, James D. ^{[2
]}

机构：

[1] Mayo Clin, Div Pulm & Crit Care, Rochester, MN USA

[2] Mayo Clin, Dept Informat Technol, Informat Management & Analyt, Rochester, MN USA

来源：

JOURNAL OF AMBULATORY CARE MANAGEMENT | 2014年 / 37卷 / 03期

关键词：

Big Data; computerized records; electronic health record; electronic medical record;

D O I：

10.1097/JAC.0000000000000037

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

The electronic medical record has evolved from a digital representation of individual patient results and documents to information of large scale and complexity. Big Data refers to new technologies providing management and processing capabilities, targeting massive and disparate data sets. For an individual patient, techniques such as Natural Language Processing allow the integration and analysis of textual reports with structured results. For groups of patients, Big Data offers the promise of large-scale analysis of outcomes, patterns, temporal trends, and correlations. The evolution of Big Data analytics moves us from description and reporting to forecasting, predictive modeling, and decision optimization.

引用

页码：206 / 210

页数：5

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