Fette Georg, Kaspar Mathias, Liman Leon, Ertl Maximilian, Krebs Jonathan, Dietrich Georg, Störk Stefan, Puppe Frank
Chair of Computer Science 6, University of Würzburg, Würzburg, Germany.
Comprehensive Heart Failure Center, University Hospital of Würzburg, Würzburg, Germany.
Stud Health Technol Inform. 2019 Aug 21;264:128-132. doi: 10.3233/SHTI190197.
Secondary use of electronic health records using data aggregation systems (DAS) with standardized access interfaces (e.g. openEHR, i2b2, FHIR) have become an attractive approach to support clinical research. In order to increase the volume of underlying patient data, multiple DASs at different institutions can be connected to research networks. Two obstacles to connect a DAS to such a network are the syntactical differences between the involved DAS query interfaces and differences in the data models the DASs operate on. The current work presents an approach to tackle both problems by translating queries from a DAS using openEHR's query language AQL (Archetype Query Language) into queries using the query language CQL (Clinical Quality Language) and vice versa. For the subset of queries which are expressible in both query languages the presented approach is well feasible.
利用具有标准化访问接口（如openEHR、i2b2、FHIR）的数据聚合系统（DAS）对电子健康记录进行二次利用，已成为支持临床研究的一种有吸引力的方法。为了增加基础患者数据的数量，可以将不同机构的多个DAS连接到研究网络。将DAS连接到这样一个网络的两个障碍是所涉及的DAS查询接口之间的句法差异以及DAS所操作的数据模型的差异。当前的工作提出了一种方法来解决这两个问题，即将使用openEHR的查询语言AQL（原型查询语言）的DAS查询转换为使用查询语言CQL（临床质量语言）的查询，反之亦然。对于可以用两种查询语言表示的查询子集，所提出的方法是完全可行的。
