Real Business Solutions
Viseon - Clinical Data Repository

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.

Because clinical data describes a wide variety of real-world events and observations and it is gathered from multiple systems and sources, Viseon has been designed with an open content model in mind. Viseon will accommodate the widest variety of data and even the addition of entirely new dimensions without requiring alteration to the core database schema.

Viseon is designed to be HIPAA-aware from the outset and stores Protected Health Information (PHI) in encrypted fashion. Viseon is also designed to allow permissions-driven and role-based access to clinical data, and it includes facilities to track the history of data access and usage.

Given the multi-system nature of almost all hospital IT architectures, a substantial volume of information is typically exchanged between systems in real time. Viseon is therefore architected around real time data acquisition. A message-queuing architecture is employed to manage the flow of information through Viseon's data acquisition, transformation and loading processes.

Use of HL7 formats for real-time data exchange is becoming increasingly common. Viseon includes extensive features for HL7 message capture and translation. Other, non-real-time approaches to data acquisition are supported through Park Street's ETL system. Park Street's tools handle a wide variety of data acquisition; poll for data availability; proactively acquire data using FTP, HTTP, or file copy operations, or passively receive FTP transmissions or file copies; and query databases for data on a scheduled basis.

Viseon is designed to support direct queries from a variety of different application types: report writers like Crystal Reports, business intelligence/OLAP tools, data mining and statistical analysis systems, or custom-built applications. For general-purpose queries and data exploration, Park Street's Riveon tools provide an easy-to-use platform for self-service ad hoc queries. Riveon includes built-in features that aid in exploring and navigating the knowledge base and formulating queries based upon knowledge structures.

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