Agfa HealthCare releases newest version of Enterprise Imaging for Cardiology at ACC.17

Agfa HealthCare announces that it is releasing a new version of its Enterprise Imaging for Cardiology platform at the American College of Cardiologists' ACC.17 expo. Customer-driven enhancements include new structured reporting modules for congenital echocardiology and nuclear cardiology. Single point of access and task-based workflowEnterprise Imaging for Cardiology is an important part of the Enterprise Imaging converged platform, which offers a care-centric workflow that is standards-based, improves interoperability and enables a comprehensive patient health record across departments within a single facility or between multiple facilities.With Enterprise Imaging for Cardiology, cardiologists have a robust environment providing a single point of access to patient information from different sources. They can quickly retrieve a patient's complete cardiology file, generate a report and distribute it, all during one session, even from a remote location. Images, reports and relevant, sophisticated toolkits are supported by the task-based workflow that aligns with and supports their clinical workflow.The new features provide support for congenital echocardiology and nuclear cardiology, deeply integrated into the Enterprise Imaging platform."Cardiology continues to be an image-intense domain, and the Enterprise Imaging for cardiology platform offers a value-based care solution providing access to clinically relevant cardiology data," comments James Jay, Global Vice President, Agfa HealthCare. "By enhancing the features and functions to cover more subspecialties, we extend the support for patient-centric care all along the care continuum." Demonstration of work-in-progress: NLP-based concept for structured reporting, powered by IBM Watson*At ACC.17, Agfa HealthCare will also show an early concept for automated structured reporting based on natural language processing (NLP) and cognitive analytics, a work in progress in collaboration with IBM Watson Health. This collaboration illustrates how clinicians may be able to use normal dictation methods for reporting and still achieve structured report as well as structured data using a natural language processing and cognition based algorithm powered by IBM Watson, to convert dictated reports into structured data.You can discover the new release of Enterprise Imaging for Cardiology at the Agfa HealthCare booth 2931, ACC.17, March 17-19, at the Walter E. Washington Convention Center in Washington, D.C., USA.

Around the web

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.

Kate Hanneman, MD, explains why many vendors and hospitals want to lower radiology's impact on the environment. "Taking steps to reduce the carbon footprint in healthcare isn’t just an opportunity," she said. "It’s also a responsibility."