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This is the home to an emerging of the Clinical Decision Support (CDS) platform that Working Group.  Our goal is to identify and deploy, within a shared AWS environment, the service required to support CDS use cases in a variety of healthcare contexts.  This exemplar capability will seeks to provide the knowledge management, business intelligence and predictive analytic technologies required for advanced cognitive support and workflow optimization. An A hybrid Event Driven Architecture (EDA) , combined with a / Service Oriented Architecture (SOA) , is used to deploy and manage these capabilities. The EDA initiates / Agent Architecture will be developed to initiate appropriate analytic processing in response to real-time events, a feature critical in effective Clinical Decision Support. Triggers . CDS 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 will then managed using SOA components ; each service ensuring that core business logic is well are well-abstracted, reusable, and encapsulated behind standards-based interfaces. A workflow engine provides the The platform will provide the advanced process orchestration and state management critical for executing complex clinical guidelines and treatment plans. A Production Rule engine (Drools) is will be utilized to a) capture and encode rule-based 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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The Team currently consists of the following individuals and organizations: