Ontx is a tool for Business Knowledge Modeling, designed to permit non-technical users to define and maintain sophisticated models of real-world concepts. It allows companies to capture knowledge about key business objects--such as products, organizations, customers, channels, suppliers, or digital assets--that is not stored or cannot be stored in conventional corporate systems. Its advanced modeling capabilities allow the representation of the nature, attributes, and classification of business objects, as well as the definition of the relationships among them. When raw information is available in existing enterprise applications, Ontx offers facilities to identify new and changed information, create and initialize corresponding objects, and link them to the Ontx knowledge model.
Viseon incorporates the best in modern data warehouse design practices, along with Park Street's advanced knowledge modeling technology, to create a highly sophisticated solution for clinical data management.
Unlike financial and operational data warehouses, which are designed to support summarizing units and dollars, Viseon focuses on detecting complex combinations of data elements, counting and ratio problems, and statistical analysis of variance, covariance, and correlation. The Viseon database represents a collection of disparate events in the patient record, rather than a series of additive facts.
Robust knowledge organization schemes like ICD, CPT, LOINC, SNOMED, and UMLS are used to characterize patient event data, along with organization charts, location maps, and other institution-specific structures. The Viseon architecture responds to this requirement by incorporating advanced knowledge-modeling technology which allows complex structures to be defined, maintained, and traversed efficiently.
Park Street's CompatX clinical informatics tools provide a powerful query and application development environment. CompatX uses international standard knowledge bases and clinical vocabularies to allow the creation of queries, analyses, and measures, and protocols that are independent of database structure. At the same time, CompatX makes it possible for analysts and query writers to express clinical logic in terms of concepts in the knowledge base – in other words, in terms of clinically meaningful concepts rather than database identifiers. CompatX makes it possible to efficiently build sophisticated queries and analytics that meet the unique demands of clinical informatics.
Park Street is working to create a community of institutions that can share standards-based clinical measures, protocols, analyses, and applications developed upon the CompatX platform. This approach is expected to dramatically reduce deployment costs and risks for a broad range of clinical tools and content.
