Toward a Natural Language Interface for EHR Questions

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...

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Detalles Bibliográficos
Autores principales: Roberts, Kirk, Demner-Fushman, Dina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2015
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525248/
https://www.ncbi.nlm.nih.gov/pubmed/26306260
Descripción
Sumario: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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