TeraRecon’s iNtuition cardiovascular advanced visualization tools, combined with Agfa HealthCare’s IMPAX Cardiovascular imaging and reporting solution, provides physicians with the first cardiac CT image analysis and reporting solution that satisfies the rigorous requirements and many of the optional recommendations set forth within these guidelines.
Daniel S. Berman, MD, FSCCT of Cedars-Sinai Medical Center and immediate past-president of SCCT, explained, Standardizing reporting helps ensure that all aspects of the studies are interpreted in a manner that will be understood by referring physicians, clearly communicating the test results.
Agfa HealthCare’s IMPAX Cardiovascular is a robust solution for cardiology and vascular imaging and reporting that consolidates and provides a single point of access for multimodality studies. It enhances communication between cardiovascular modalities, PACS and other standards-based hospital information distribution systems.
The integration of Aquarius iNtuition with Agfa HealthCare’s IMPAX Cardiovascular solution is an important step in streamlining workflow for the non-invasive cardiologist by providing a single, comprehensive solution that automates visualization and reporting. The integration with IMPAX Cardiovascular will also facilitate the communication between cardiac CT specialists and other clinicians, by making the relevant information available throughout the enterprise,” states Michael Green, Agfa HealthCare President & CEO, Agfa HealthCare – North America.
Jeff Sorenson, TeraRecon Vice President of Sales for the USA and Canada, said, “This integration and reporting capability was brought to market by Agfa HealthCare and TeraRecon less than one year after the SCCT guidelines were published; and thereby exemplifies the clear benefits of close collaboration between the scientific community and its industry partners. We continue to explore many exciting avenues to further leverage our advanced clinical tools and thin-client visualization architecture to deliver advances in clinical decision support.”
