Detecting possible vaccine adverse events in clinical notes of the electronic medical record

被引:28
|
作者
Hazlehurst, Brian [1 ]
Naleway, Allison [1 ]
Mullooly, John [1 ]
机构
[1] Kaiser Permanente NW, Ctr Hlth Res, Portland, OR 97215 USA
关键词
Natural language processing; Vaccine adverse events; Electronic medical records; DRUG EVENTS; SAFETY DATALINK; SYSTEM;
D O I
10.1016/j.vaccine.2009.01.105
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
The Vaccine Safety Datalink (VSD) is a collaboration between the CDC and eight large HMOs to investigate adverse events following immunization through analyses of clinical data. We modified an existing system, called MediClass, that uses natural language processing to identify clinical events recorded in electronic medical records (EMRs). We Customized MediClass so it could detect possible vaccine adverse events (VAEs) generally, and gastrointestinal-related VAEs in particular, in the text clinical notes of encounters recorded in the EMR of a large HMO. Compared to methods that use diagnosis and utilization codes assigned to encounters by clinicians and administrators, the MediClass system can both find more adverse events and improve the positive predictive value for detecting possible VAEs. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2077 / 2083
页数:7
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