This is the home to an emerging Clinical Decision Support (CDS) platform that seeks to provide the knowledge management, business intelligence and predictive analytic technologies required for advanced cognitive support and workflow optimization. An Event Driven Architecture (EDA), combined with a Service Oriented Architecture (SOA), is used to deploy and manage these capabilities. The EDA initiates appropriate analytic processing in response to real-time events, a feature critical in effective Clinical Decision Support. Triggers can be messages, for example, HL7 transaction sets are used to communicate laboratory results or patient monitor waveforms that require Complex Event Processing to be handled effectively. The initiated workflows are then managed using SOA components; each service ensuring that core business logic is well abstracted, reusable, and encapsulated behind standards-based interfaces. A workflow engine provides the advanced process orchestration and state management critical for executing complex clinical guidelines and treatment plans. A Production Rule engine (Drools) is utilized to a) capture and encode clinical domain expertise, b) ensure process validity with respect to declarative constraints, and c) provide flexible control over application and middle tier behavior.
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