Analyzing medication data longitudinally presents a significant challenge due to frequent changes to the market. Different ontologies, such as RxNorm, aim to provide semantic concepts to achieve semantic interoperability. In the development of a prototype clinical triplestore utilizing the FHIR®1 R3 RDF specification, we identified the need for a comprehensive and harmonized approach to mapping medication codes. SMOREs was developed to input local medications and produce mappings to standardized ontologies.
Learning Objective: To present a new tool that provides institutions the ability to improve their semantic relationships of local medications to standardized ontologies
Robert Bradford, University of North Carolina at Chapel Hill
Marshall Clark, University of North Carolina at Chapel Hill
Emily Pfaff, University of North Carolina at Chapel Hill
Adam Lee (Presenter)
University of North Carolina at Chapel Hill