Text Mining Electronic Health Records to Identify Hospital Adverse Events

被引：11

作者：

Gerdes, Lars Ulrik ^{[1
]}

Hardahl, Christian ^{[2
]}

机构：

[1] Reg Southern Denmark, Ctr Qual, Kolding, Denmark

[2] SAS Inst, Kolding, Denmark

来源：

MEDINFO 2013: PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2 | 2013年 / 192卷

关键词：

Text mining; natural language processing; electronic health records; quality of health care; patient safety;

D O I：

10.3233/978-1-61499-289-9-1145

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：

Manual reviews of health records to identify possible adverse events are time consuming. We are developing a method based on natural language processing to quickly search electronic health records for common triggers and adverse events. Our results agree fairly well with those obtained using manual reviews, and we therefore believe that it is possible to develop automatic tools for monitoring aspects of patient safety.

引用

页码：1145 / 1145

页数：1

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