"The Aurion Project, an evolution of the Federal Health Architecture’s CONNECT open source project focused on achieving health IT interoperability using nationally recognized standards, is off to an ambitious start. Its inaugural Aurion Community Town Hall Meeting was held April 12 to begin its chartering and membership process. Meanwhile, the Aurion 4.0 software is set for release May 3."
Aurion Wiki
http://wiki.aurionproject.org/display/AurionMain/Aurion+WIKI
Aurion Specifications
http://aurionproject.org/products/specs-in-aurion
TeamForge / Project Home / Source Code Repositories
http://development.aurionproject.org/sf/projects/aurion
After doing a bit of reading, I also came across this interesting bit (a friend specializes in all things Semantic - and I thought this was a great example for him to highlight in his client discussions) - related to semantic translation "Terminology Services"
see section 2.2.5.2 on page-34:
http://wiki.aurionproject.org/download/attachments/983312/CONNECT_Release_3_1_Integrated_Interface_Description_Document_091410.pdf?version=1&modificationDate=1300208064000
"The semantic meaning of medical data refers to the ability for a system
to understand the meaning of the medical data that is being shared. When
two separate medical computer systems are connected, it can be difficult
for one system to understand and compute on the data from another
system. In order to successfully compute upon the data, the semantic
meaning of the sending system must be understood by the receiving
system. Terminologies are used by medical systems to communicate precise
semantics. Terminologies use codes, text, hierarchical layout, and
relationships to communicate meaning. Often times differing medical
systems will use different terminologies. Terminology services are used
to cross map one terminology to another. They are also used to provide
translation services and code relationship services. As the Nationwide
Health Information Network moves forward, these services will become
more and more critical so that the differing medical systems are able to
semantically understand the data they are receiving."
