Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure
Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure
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DOI：
10.1136/amiajnl-2011-000535
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发表时间：
2012-09-01
影响因子：
6.4
通讯作者：
Goldstein, Mary K.
中科院分区：
文献类型：
--
作者：
Garvin, Jennifer H.;DuVall, Scott L.;Goldstein, Mary K.
目的：左心室射血分数（EF）是退伍军人事务部（VA）使用的心力衰竭质量测量的关键组成部分。我们的目标是建立一个自然语言处理系统，从自由文本超声心动图报告中提取EF，以自动测量报告，并使用通过人工审查制定的比较参考标准来验证系统的准确性。该项目是VA医疗保健信息学联盟中的一个转化用例项目。材料和方法我们创建了一组正则表达式和规则，使用来自七个VA医疗中心的765张超声心动图的随机样本来捕获EF。这些文件被随机分配到两组：一组275份用于培训，另一组490份用于测试和验证。为了建立参考标准，两名独立审稿人对两套文件进行了注释；第三位审稿人裁决了分歧。结果EF的文档级分类系统测试结果
Objectives Left ventricular ejection fraction (EF) is a key component of heart failure quality measures used within the Department of Veteran Affairs (VA). Our goals were to build a natural language processing system to extract the EF from free-text echocardiogram reports to automate measurement reporting and to validate the accuracy of the system using a comparison reference standard developed through human review. This project was a Translational Use Case Project within the VA Consortium for Healthcare Informatics.Materials and methods We created a set of regular expressions and rules to capture the EF using a random sample of 765 echocardiograms from seven VA medical centers. The documents were randomly assigned to two sets: a set of 275 used for training and a second set of 490 used for testing and validation. To establish the reference standard, two independent reviewers annotated all documents in both sets; a third reviewer adjudicated disagreements.Results System test results for document-level classification of EF of