Literature DB >> 17911747

EHR query language (EQL)--a query language for archetype-based health records.

Chunlan Ma1, Heath Frankel, Thomas Beale, Sam Heard.   

Abstract

OpenEHR specifications have been developed to standardise the representation of an international electronic health record (EHR). The language used for querying EHR data is not as yet part of the specification. To fill in this gap, Ocean Informatics has developed a query language currently known as EHR Query Language (EQL), a declarative language supporting queries on EHR data. EQL is neutral to EHR systems, programming languages and system environments and depends only on the openEHR archetype model and semantics. Thus, in principle, EQL can be used in any archetype-based computational context. In the EHR context described here, particular queries mention concepts from the openEHR EHR Reference Model (RM). EQL can be used as a common query language for disparate archetype-based applications. The use of a common RM, archetypes, and a companion query language, such as EQL, semantic interoperability of EHR information is much closer. This paper introduces the EQL syntax and provides example clinical queries to illustrate the syntax. Finally, current implementations and future directions are outlined.

Mesh:

Year:  2007        PMID: 17911747

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

1.  Applying representational state transfer (REST) architecture to archetype-based electronic health record systems.

Authors:  Erik Sundvall; Mikael Nyström; Daniel Karlsson; Martin Eneling; Rong Chen; Håkan Örman
Journal:  BMC Med Inform Decis Mak       Date:  2013-05-09       Impact factor: 2.796

2.  A Scalable Data Access Layer to Manage Structured Heterogeneous Biomedical Data.

Authors:  Giovanni Delussu; Luca Lianas; Francesca Frexia; Gianluigi Zanetti
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

3.  Pathling: analytics on FHIR.

Authors:  John Grimes; Piotr Szul; Alejandro Metke-Jimenez; Michael Lawley; Kylynn Loi
Journal:  J Biomed Semantics       Date:  2022-09-08

4.  Querying archetype-based EHRs by search ontology-based XPath engineering.

Authors:  Stefan Kropf; Alexandr Uciteli; Katrin Schierle; Peter Krücken; Kerstin Denecke; Heinrich Herre
Journal:  J Biomed Semantics       Date:  2018-05-11
  4 in total

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