Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.

ABSTRACT:

Objective

The utility of biomedical information retrieval environments can be severely limited when users lack expertise in constructing effective search queries. To address this issue, we developed a computer-based query recommendation algorithm that suggests semantically interchangeable terms based on an initial user-entered query. In this study, we assessed the value of this approach, which has broad applicability in biomedical information retrieval, by demonstrating its application as part of a search engine that facilitates retrieval of information from electronic health records (EHRs).

Materials and methods

The query recommendation algorithm utilizes MetaMap to identify medical concepts from search queries and indexed EHR documents. Synonym variants from UMLS are used

SUBMITTER: Hanauer DA 

PROVIDER: S-EPMC5378386 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature