Technology | Enterprise Imaging | March 20, 2017

Agfa HealthCare Releases Newest Version of Enterprise Imaging for Cardiology at ACC.17

Company also displayed early concept for collaboration with IBM Watson Health for automated structure reporting based on natural language processing and cognitive analytics

Agfa HealthCare, Enterprise Imaging for Cardiology, ACC.17, IBM Watson Health

March 20, 2017 — Agfa HealthCare announced the release a new version of its Enterprise Imaging for Cardiology platform at the American College of Cardiology ACC.17 expo, March 17-19 in Washington, D.C. Customer-driven enhancements include new structured reporting modules for congenital echocardiology and nuclear cardiology.

The suite is 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.

At ACC.17, Agfa HealthCare also showed 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 illustrated 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.

For more information: www.agfahealthcare.com


Related Content

News | ACC

April 11, 2024 — One-year success rates from angioplasty procedures to open clogged arteries in the legs were ...

Home April 11, 2024
Home
News | ACC

April 6, 2024 — The Minneapolis Heart Institute Foundation (MHIF) is presenting leading research focused on trends in ST ...

Home April 06, 2024
Home
Feature | ACC | Christine Book

April 3, 2024 — In gearing up for its Annual Scientific Session, ACC.24, amidst the 75th anniversary of the organization ...

Home April 03, 2024
Home
News | ACC

March 26, 2024 — Bristol Myers Squibb has announced that it will present data on CAMZYOS (mavacamten) for NYHA class II ...

Home March 26, 2024
Home
Feature | ACC | By Melinda Taschetta-Millane

The American College of Cardiology (ACC) has announced key educational and programming highlights for its ACC 73rd ...

Home March 25, 2024
Home
News | ACC

March 21, 2024 — Prolocor, Inc., a healthcare startup developing an innovative precision diagnostic test with the goal ...

Home March 21, 2024
Home
News | ACC

March 7, 2024 — The American College of Cardiology (ACC) has announced its line-up of keynote speakers for the ACC 73rd ...

Home March 07, 2024
Home
News | ACC

February 29, 2024 — The American College of Cardiology (ACC) will soon be holding its ACC 73rd Annual Scientific Session ...

Home February 29, 2024
Home
News | ACC

February 14, 2024 — The American College of Cardiology’s newest registry offers data-driven insights on cardiac ...

Home February 14, 2024
Home
News | ACC

February 7, 2024 — The Consumer Technology Association (CTA) and the American College of Cardiology (ACC) are announcing ...

Home February 07, 2024
Home
Subscribe Now