Feasibility of Modeling HL7 FHIR Profiles Using RDF Shape Expressions Language

This presentation describes our progress to date in developing tools to mechanically parse the core models in the HL7 Fast Healthcare Interoperability Resources (FHIR) DSTU2 Ballot, and produce corresponding Shape Expressions (ShEx) schemas. In it we describe the transformation process, and how the resulting artifacts can be used in modeling FHIR profiles, and its validation and information mapping. We also discuss our plans to integrate this process into the OpenRefine platform to provide a user-friendly interface to support RDF/FHIR data element harmonization and model transformation.