Federated Querying Architecture with Clinical & Translational Health IT Application

Authors:
Oren E. Livne;N. Dustin Schultz;Scott P. Narus
Affiliations:
Office of AVP for Health Sciences IT, University of Utah, Salt Lake City, USA 84112;Office of AVP for Health Sciences IT, University of Utah, Salt Lake City, USA 84112;Office of AVP for Health Sciences IT, University of Utah, Salt Lake City, USA 84112
Venue:
Journal of Medical Systems
Year:
2011

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Abstract

We present a software architecture that federates data from multiple heterogeneous health informatics data sources owned by multiple organizations. The architecture builds upon state-of-the-art open-source Java and XML frameworks in innovative ways. It consists of (a) federated query engine, which manages federated queries and result set aggregation via a patient identification service; and (b) data source facades, which translate the physical data models into a common model on-the-fly and handle large result set streaming. System modules are connected via reusable Apache Camel integration routes and deployed to an OSGi enterprise service bus. We present an application of our architecture that allows users to construct queries via the i2b2 web front-end, and federates patient data from the University of Utah Enterprise Data Warehouse and the Utah Population database. Our system can be easily adopted, extended and integrated with existing SOA Healthcare and HL7 frameworks such as i2b2 and caGrid.