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Many openEHR backend CDRs are based on various non mainstream technologies, from experimental to plain exotic. Although these works are important to lead the path to future production systems, with EtherCIS , we have resolutely decided to adhere to best- practice observed in current Data Center environments to ease its adoption. EtherCIS is an open source, multi-tiers application server based on a modern open source database engine: PostgreSQL. The presented approach may be of value for other openEHR implementations using, but not limited to, other well-known DB engines such as Oracle 12 or Intersystems Cache.
We will demonstrate some of the benefits of deploying an openEHR CDR using a mainstream database engine in real-life environments. The aspects covered encompass: insertion in existing environment, leveraging from other users' experiences, development cycle: the beauty of OO SQL (and some not so easy bits), security and privacy, operating concepts and adaptability to unforeseen business needs.
2.2.4 openEHR in Research – Linking Clinical Data with Computational Models (Koray Atalag)
Linking clinical data to computational physiology models can pave the way to a completely new breed of personalised and predictive clinical decision support systems. This talk will elaborate on how this linkage could be facilitated by using openEHR and Semantic Web methods in the Virtual Physiological Human (VPH) and Human Physiome Projects. Shared and mapped domain ontologies and Archetype terminology bindings will be key enablers. An elaborate methodology and the implementation details of a working proof of concept application will be demonstrated.
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