CIMI and RDF – Part 5 of Yosemite Series

haroldsolbrig-120Harold R. Solbrig
Mayo Clinic

Recorded: Thursday Oct. 15, 2015
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The Clinical Information Modeling Initiative (CIMI) aims to improve the interoperability of healthcare systems through shared clinical information models.  CIMI is implementation neutral, but the CIMI constraint language is non-trivial to implement, as it is incremental and fine grained.  We have been exploring the hypothesis that the optimal way to implement CIMI would be to convert the data into RDF and then use an RDF-based constraint language to interpret the CIMI constraints.  This will make it possible to use CIMI in a runtime environment after either mapping data to FHIR or transforming data into RDF and then mapping it to the CIMI/FHIR equivalent.

About the Speaker

Harold R. Solbrig has been involved in medical computing since the early 1970s. Over the past two decades his emphasis has been on the role of formal semantics in data interoperability with a focus on clinical terminology, and terminology and data binding. Mr. Solbrig joined Mayo Clinic in 1999 and is currently working on the representation and implementation of data semantics through the use of constraint modeling and RDF.