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Testing - The complete OSHIP package comes with more than 5000 (and growing) automated tests.
Scalability - The underlying architecture of OSHIP is proven in daily use to be scalable to billions of objects with thousands of concurrent users.
Open Source - OSHIP, from top to bottom is open source and cross-platform implementable.
Planned
openEHR Template Persistence and processing - Storage and processing of reusable openEHR templates.
Archetype Query Language - Editor and persistence for reusable, standardized queries.
Decision Support - The CLIPS inference engine is one of the most proven and best known engines available. Wrapped with the Python API (PyCLIPS) the engine will initially be integrated to process First Order Predicate Logic (FOPL) embedded in archetypes. In the second phase CLIPS will be used (in a similar fashion to the design I did for EGADSS) to use HL7v3 messages as well as AQL queries.