title: Automated Transformation of openEHR Data Instances to OWL.
abstract: Standard-based integration and semantic enrichment of clinical data originating from electronic medical records has shown to be critical to enable secondary use. To facilitate the utilization of semantic technologies on clinical data, we introduce a methodology to enable automated transformation of openEHR-based data to Web Ontology Language (OWL) individuals. To test the correctness of the implementation, de-identified data of 229 patients of the pediatric intensive care unit of Hannover Medical School has been transformed into 2.983.436 individuals. Querying of the resulting ontology for symptoms of the systemic inflammatory response syndrome (SIRS) yielded the same result set as a SQL query on an openEHR-based clinical data repository.
authors.affiliation: Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig and Hannover Medical School, Germany.
authors.forename: Birger
authors.initials: B
authors.lastname: Haarbrandt
authors.affiliation: Department of Pediatric Cardiology and Intensive Care Medicine, Hannover Medical School.
authors.forename: Thomas
authors.initials: T
authors.lastname: Jack
authors.affiliation: Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig and Hannover Medical School, Germany.
authors.forename: Michael
authors.initials: M
authors.lastname: Marschollek
mesh_terms: D016208:Databases, Factual / Q000592:standards; D057286:Electronic Health Records / Q000458:organization & administration* / Q000592:standards; D066275:Health Information Exchange / Q000592:standards; D006801:Humans; D033181:Information Dissemination / Q000379:methods; D009323:Natural Language Processing; D016730:Program Development; D018746:Systemic Inflammatory Response Syndrome / Q000473:pathology