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

机译:使用图数据库Neo4j实现HL7-CQL引擎

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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.
机译:临床质量语言(CQL)是用于定义包含FHIR数据的数据存储的搜索请求的有用工具。 不幸的是,只有很少的执行引擎能够评估CQL查询。 由于FHIR数据表示图形结构,作者追求将FHIR服务器中包含的所有数据存储在图表数据库Neo4j中,并将CQL查询转换为Neo4J的查询语言Cypher。 图形数据库返回的查询结果被重新转换为其FHIR表示,并返回查询用户。 该方法已经在公开的FHIR服务器上积极测试,具有手动绘制的示例CQL查询。

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