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21 Feb 2012

Thomson Reuters Clinical Data Integration Technologies Validated at Annual IHE Connectathon

Integration Discovery Solution Proven to Support Health IT Interoperability

Ann Arbor, MI February 21, 2012 - Thomson Reuters Integration Discovery achieved the highest standards for interoperability at the annual Integrating the Healthcare Enterprise (IHE) North American Connectathon.

The annual IHE Connectathon promotes the adoption of IHE standards-based interoperability in commercially available healthcare IT systems. During the event, participating companies subjected their technologies to a series of tests, challenging their ability to connect and securely exchange information with other vendors using IHE Profiles and defined clinical-use cases.

Thomson Reuters Integration Discovery successfully completed IHE profile testing, validating its ability to share clinical and administrative information in a secure, reliable and incremental manner across transitions of care. IHE integration profiles included:

Cross Document Sharing (XDS.b) registration, distribution and access to health documents across health organizations
Patient Identifier Cross-Reference HL7 V3 (PIX) patient identity cross-reference manager services
Patient Demographic Query HL7 V3 profile (PDQ) patient demographic supplier
Cross Community Access (XCA) record locator services to query for documents across a health community
Cross Community Patient Discovery (XCPD) to locate patient information across a health community

Integration Discovery leverages a robust service-oriented architecture (SOA) technology platform for deploying health information exchanges. Core network services include record location services (RLS), world class record-linking to enable a community master patient index (MPI), world class identity management, comprehensive yet practical terminology services, immutable audit and logging services and complete standards compliance.

"Hospitals are facing numerous challenges as they strive to meet new reporting requirements; clinical integration does not have to be one of them," said Tony Donofrio, Chief Technology Officer for the Healthcare business of Thomson Reuters. "Our participation at the Connectathon demonstrates our commitment to interoperability standards, and to working with any partners that are willing to come together to create solutions to seemingly intractable problems like clinical data integration."

Thomson Reuters will demonstrate their interoperability capabilities at the Annual Healthcare Information and Management Systems Society (HIMSS) Conference and Exhibition at the Interoperability Showcase, February 21-24 in Las Vegas.

Integration Discovery is powered by CareEvolution's HIEBus™, a comprehensive suite of interoperability solutions.

About Thomson Reuters
Thomson Reuters is the world's leading source of intelligent information for businesses and professionals. We combine industry expertise with innovative technology to deliver critical information to leading decision makers in the financial, legal, tax and accounting, healthcare and science and media markets, powered by the world's most trusted news organization. With headquarters in New York and major operations in London and Eagan, Minnesota, Thomson Reuters employs 55,000 people and operates in over 100 countries. For more information, go to www.thomsonreuters.com.

About CareEvolution
CareEvolution is a leading provider of secure interoperability solutions. Its core offering, HIEBus™, is a proven, comprehensive suite of SOA technology solutions for healthcare interoperability. Standards-based core network services and certified web-based applications enable healthcare providers, regional exchange initiatives, and health plans to implement patient-centric quality and efficiency initiatives across the care continuum. A suite of optional applications leverage the comprehensive longitudinal patient health information in HIEBus™ to drive clinical integration, care coordination, real time dashboards, medication reconciliation, disease surveillance, advanced analytics, and multi-center observational data research. For more information, go to http://careevolution.com/.