Healthcare data originates in a wide variety of data formats, data models and vocabularies, making information interoperability a major challenge. Although many standards exist, and each one strives for a level of interoperability within its scope, in the aggregate these standards form an uncoordinated patchwork that thwarts interoperability. Furthermore, even when standards are used, translation between data formats, data models and vocabularies is still needed, for a variety of reasons.
The Yosemite Project describes an ambitious roadmap for achieving semantic interoperability of all structured healthcare information. Based on RDF as the best available candidate for a universal information representation, this roadmap addresses both the need to 'standardize the standards' and the opportunity to crowdsource data translations that are still required for information interoperability.