One feature I would like to call out in the new version of the Healthcare Connectivity Pack is our healthcare analytics capability. This feature makes it incredibly easy to find, search and extract meaningful data from a range of healthcare data sources (HL7 v2, DICOM and CDA). The tooling can do this because it understands these healthcare formats, not just at a syntactic level but the semantics as well. This knowledge of a standard is encapsulated in what we call a Data Analysis Profile (DAP).
For example, in the case of clinical documents, the CDA DAP understands the HL7 v3 RIM and structural attributes (such as templateID and root). With this understanding the tooling can pick apart clinical documents and show you the meaning of different sections (medications, procedures etc). This is just the tip of the iceberg, the tooling makes it a breeze to do really complex work with clinical documents.
Another example are HL7 v2 observation results, the HL7 DAP understands where the coding system is stored in the OBX segment. Armed with this information the tooling deciphers LOINC codes to present user friendly display names when you are working with your data. In fact you can plug in your own bespoke coding systems as well (a common requirement in providers).
Understanding and working with these healthcare standards is one big step forward, but the tooling goes way further. The tooling builds for you the Message Broker solution to validate inbound messages and extract the data you want. The data can be extracted into a simpler XML message format. This is the ideal approach if you want to send some extract of the healthcare data to a downstream application. Alternatively, the tooling can extract the data directly into database tables. In fact, the tooling will even design you the database table layout, key selection and everything else!
If you are interested to learn more, take a look through these slides I have posted.