Next-generation phenotyping of electronic health records

被引：408

作者：

Hripcsak, George ^{[1
]}

Albers, David J. ^{[1
]}

机构：

[1] Columbia Univ, Med Ctr, Dept Biomed Informat, New York, NY 10027 USA

来源：

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | 2013年 / 20卷 / 01期

关键词：

MEDICAL-RECORDS; SNOMED CT; TIME; MODELS; RISK; IDENTIFICATION; INFORMATION; DATABASE; NETWORK;

D O I：

10.1136/amiajnl-2012-001145

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The national adoption of electronic health records (EHR) promises to make an unprecedented amount of data available for clinical research, but the data are complex, inaccurate, and frequently missing, and the record reflects complex processes aside from the patient's physiological state. We believe that the path forward requires studying the EHR as an object of interest in itself, and that new models, learning from data, and collaboration will lead to efficient use of the valuable information currently locked in health records.

引用

页码：117 / 121

页数：5

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