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PubMed | Lister Hill National Center For Biomedical Communications Us National Library Of Medicine
Type: | Journal: AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science | Year: 2015

This paper presents a pilot study on the process of manually annotating natural language EHR questions with a formal meaning representation. This formal representation could then be used as a structured query as part of a natural language interface for electronic health records. This study analyzes the challenges of representing EHR questions as structured queries as well as the feasibility of creating a sufficiently large corpus of manually annotated structured queries for EHR questions. A set of 100 EHR questions, sampled from actual questions asked by ICU physicians[1], is used to perform the analysis. The ultimate goal of this research is to enable automatic methods for understanding EHR questions for use in a natural language EHR interface.

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