Format

Send to

Choose Destination
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:157-61. eCollection 2015.

Toward a Natural Language Interface for EHR Questions.

Author information

1
Lister Hill National Center for Biomedical Communications U.S. National Library of Medicine.

Abstract

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.

PMID:
26306260
PMCID:
PMC4525248

Supplemental Content

Full text links

Icon for PubMed Central
Loading ...
Support Center