利用电子病历中的短语实现自动化叙述文本解读。
Achieving automated narrative text interpretation using phrases in the electronic medical record.
作者信息
Murphy S N, Barnett G O
机构信息
Laboratory of Computer Science Massachusetts General Hospital, Boston, USA.
出版信息
Proc AMIA Annu Fall Symp. 1996:532-6.
Stereotypic phrases are used by clinicians throughout the medical record, as seen in an analysis of our COSTAR medical record database. These phrases are often associated with an underling semantic concept; for example the phrase CLEAR LUNGS may be linked with the concept "normal lung exam" for a particular physician. Formalizing these associations with concepts from the UMLS using the MEDPhrase application allowed us to automate interpretation of narrative text within our electronic medical record.
正如对我们的COSTAR病历数据库的分析所示，临床医生在整个病历中都会使用固定短语。这些短语通常与一个潜在的语义概念相关联；例如，对于特定的医生来说，“肺部清晰”这一短语可能与“正常肺部检查”这一概念相关联。使用MEDPhrase应用程序将这些与UMLS中的概念的关联形式化，使我们能够自动解释电子病历中的叙述性文本。
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