Query Translation Between AQL and CQL.
Data Warehousing
Electronic Health Records
Information Systems
Journal
Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582
Informations de publication
Date de publication:
21 Aug 2019
21 Aug 2019
Historique:
entrez:
24
8
2019
pubmed:
24
8
2019
medline:
11
9
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31437899
pii: SHTI190197
doi: 10.3233/SHTI190197
doi:
Types de publication
Journal Article
Langues
eng