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Article dans une revue

Querying EHRs with a Semantic and Entity-Oriented Query Language.

Abstract : While the digitization of medical documents has greatly expanded during the past decade, health information retrieval has become a great challenge to address many issues in medical research. Information retrieval in electronic health records (EHR) should also reduce the difficult tasks of manual information retrieval from records in paper format or computer. The aim of this article was to present the features of a semantic search engine implemented in EHRs. A flexible, scalable and entity-oriented query language tool is proposed. The program is designed to retrieve and visualize data which can support any Conceptual Data Model. The search engine deals with structured and unstructured data, for a sole patient from a caregiver perspective, and for a number of patients (e.g. epidemiology). Several types of queries on a test database containing 2,000 anonymized patients EHRs (i.e. approximately 200,000 records) were tested. These queries were able to accurately treat symbolic, textual, numerical and chronological data.
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Article dans une revue
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Contributeur : Lina F Soualmia <>
Soumis le : lundi 15 avril 2019 - 18:55:25
Dernière modification le : jeudi 12 décembre 2019 - 14:12:04


  • HAL Id : hal-02100396, version 1
  • PUBMED : 28423767


Romain Lelong, Lina Soualmia, Badisse Dahamna, Nicolas Griffon, Stefan Darmoni. Querying EHRs with a Semantic and Entity-Oriented Query Language.. Studies in Health Technology and Informatics, IOS Press, 2018, 235, pp.121-125. ⟨hal-02100396⟩



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