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用于电子健康记录摘要的临床知识库比较

Comparison of clinical knowledge bases for summarization of electronic health records.

作者信息

McCoy Allison B, Sittig Dean F, Wright Adam

机构信息

The University of Texas School of Biomedical Informatics at Houston, Houston, TX, USA.

出版信息

Stud Health Technol Inform. 2013;192:1217.

Abstract

Automated summarization tools that create condition-specific displays may improve clinician efficiency. These tools require new kinds of knowledge that is difficult to obtain. We compared five problem-medication pair knowledge bases generated using four previously described knowledge base development approaches. The number of pairs in the resulting mapped knowledge bases varied widely due to differing mapping techniques from the source terminologies, ranging from 2,873 to 63,977,738 pairs. The number of overlapping pairs across knowledge bases was low, with one knowledge base having half of the pairs overlapping with another knowledge base, and most having less than a third overlapping. Further research is necessary to better evaluate the knowledge bases independently in additional settings, and to identify methods to integrate the knowledge bases.

摘要

创建特定病情显示的自动摘要工具可能会提高临床医生的工作效率。这些工具需要难以获取的新型知识。我们比较了使用四种先前描述的知识库开发方法生成的五个问题-药物对知识库。由于源术语的映射技术不同,生成的映射知识库中的对数差异很大,从2873对到63977738对不等。各知识库之间重叠对的数量很少,一个知识库只有一半的对与另一个知识库重叠,大多数知识库的重叠对不到三分之一。有必要进行进一步的研究,以便在更多环境中独立地更好地评估这些知识库,并确定整合这些知识库的方法。

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