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About Park Street Solutions Company

Park Street’s Active Fact Store brings together clinical, administrative, operational, genomic, and personal data from myriad data sources, with an architecture and toolset that make patient health data computable. Using our proprietary knowledge representation technology, Park Street has pioneered a strategy for enterprise data warehouse design that's completely patient-centered and knowledge base driven. Our systems unify and standardize data from diverse clinical systems, organize patient facts according to industry standard ontologies, and transform them to a representation suitable for advanced computing. Textual analysis is applied to enhance basic facts, driving out latent or hidden information that would not otherwise be available for computing. Database-resident tools, such as our time and state engine, address problems unique to clinical informatics and provide a framework for the convenient expression and efficient execution of complex queries. Desktop and mobile end-user applications address the challenges of making data from the repository available to users throughout the enterprise. Park Street’s fact activation architecture is designed to link content, computation, data, and clinical knowledge to people and applications in the real world. It serves as the intermediary to deliver data and knowledge content in any form, on demand or driven by events. In summary, we… - Make clinical knowledge computable using our high-performance, all-SQL knowledge representation technology. - Make clinical data computable -organizing, transforming, and enriching it for use in clinical computing - Unite the two in an ontology-driven data repository, supported by clinical computing tools and end-user self-service applications. - Make it all active- re-conceptualizing the antiquated logic of ETL as Acquire, Interoperate, and Publish.

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