Validating EHR documents: automatic schematron generation using archetypes.
The goal of this study was to examine whether Schematron schemas can be generated from archetypes. The openEHR Java reference API was used to transform an archetype into an object model, which was then extended with context elements. The model was processed and the constraints were transformed into corresponding Schematron assertions. A prototype of the generator for the reference model HL7 v3 CDA R2 was developed and successfully tested. Preconditions for its reusability with other reference models were set. Our results indicate that an automated generation of Schematron schemas is possible with some limitations.
Section for Medical Information Management and Imaging, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna.
Klaus
K
Pfeiffer
Section for Medical Information Management and Imaging, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna.
Georg
G
Duftschmid
Section for Medical Information Management and Imaging, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna.
Christoph
C
Rinner
D001185:Artificial Intelligence; D001317:Austria; D066289:Data Curation / Q000592:standards*; D057286:Electronic Health Records / Q000145:classification* / Q000592:standards*; D017408:Guidelines as Topic; D057208:Health Level Seven / Q000592:standards*; D008498:Medical Record Linkage / Q000592:standards*; D009323:Natural Language Processing; D063886:Patient Discharge Summaries / Q000592:standards*; D011381:Programming Languages; D018875:Vocabulary, Controlled