  In the past decade, the healthcare industry has made significant advances in
the digitization of patient information. However, a lack of interoperability
among healthcare systems still imposes a high cost to patients, hospitals, and
insurers. Currently, most systems pass messages using idiosyncratic messaging
standards that require specialized knowledge to interpret. This increases the
cost of systems integration and often puts more advanced uses of data out of
reach. In this project, we demonstrate how two open standards, FHIR and RDF,
can be combined both to integrate data from disparate sources in real-time and
make that data queryable and susceptible to automated inference. To validate
the effectiveness of the semantic engine, we perform simulations of real-time
data feeds and demonstrate how they can be combined and used by client-side
applications with no knowledge of the underlying sources.
