Implementation of a HL7-CQL Engine Using the Graph Database Neo4J.

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ID: 35636
2019
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Ranked #166 of 170 articles by views in Studies in health technology and informatics

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Abstract
The Clinical Quality Language (CQL) is a useful tool for defining search requests for data stores containing FHIR data. Unfortunately, there are only few execution engines that are able to evaluate CQL queries. As FHIR data represents a graph structure, the authors pursue the approach of storing all data contained in a FHIR server in the graph database Neo4J and to translate CQL queries into Neo4J's query language Cypher. The query results returned by the graph database are retranslated into their FHIR representation and returned to the querying user. The approach has been positively tested on publicly available FHIR servers with a handcrafted set of example CQL queries.
Reference Key
fette2019implementationstudies Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Fette, Georg;Kaspar, Mathias;Liman, Leon;Ertl, Maximilian;Krebs, Jonathan;Störk, Stefan;Puppe, Frank;
Journal Studies in health technology and informatics
Year 2019
DOI
10.3233/SHTI190804
URL
Keywords Keywords not found

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