OWL-based Reasoning Methods for Validating Archetyped Clinical Knowledge

Most advanced Electronic Healthcare Records architectures represent clinical knowledge by means of archetypes. Consequently, guaranteeing the correctness and consistency of such archetypes becomes crucial for the success of those architectures. In this work, we present a method that uses OWL and reasoners for evaluating the consistency of the archetypes. This method has been validated through its application to the openEHR archetype repository, which is the largest available one nowadays. The results of this validation are also reported in this study.