Combining Archetypes, Ontologies and Formalization Enables Automated Computation of Quality Indicators

María Del Carmen Legaz-García, Kathrin Dentler, Jesualdo Tomás Fernández-Breis, Ronald Cornet

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

ArchMS is a framework that represents clinical information and knowledge using ontologies in OWL, which facilitates semantic interoperability and thereby the exploitation and secondary use of clinical data. However, it does not yet support the automated assessment of quality of care. CLIF is a stepwise method to formalize quality indicators. The method has been implemented in the CLIF tool which supports its users in generating computable queries based on a patient data model which can be based on archetypes. To enable the automated computation of quality indicators using ontologies and archetypes, we tested whether ArchMS and the CLIF tool can be integrated. We successfully automated the process of generating SPARQL queries from quality indicators that have been formalized with CLIF and integrated them into ArchMS. Hence, ontologies and archetypes can be combined for the execution of formalized quality indicators
Original languageEnglish
Pages (from-to)416-420
JournalStudies in health technology and informatics
Volume235
Publication statusPublished - 2017

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