Enterprise Imaging

Enterprise imaging brings together all imaging exams, patient data and reports from across a healthcare system into one location to aid efficiency and economy of scale for data storage. This enables immediate access to images and reports any clinical user of the electronic medical record (EMR) across a healthcare system, regardless of location. Enterprise imaging (EI) systems replace the former system of using a variety of disparate, siloed picture archiving and communication systems (PACS), radiology information systems (RIS), and a variety of separate, dedicated workstations and logins to view or post-process different imaging modalities. Often these siloed systems cannot interoperate and cannot easily be connected. Web-based EI systems are becoming the standard across most healthcare systems to incorporate not only radiology, but also cardiology (CVIS), pathology and dozens of other departments to centralize all patient data into one cloud-based data storage and data management system.

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Philips issues security advisory for cardiac imaging, information management software

The U.S. Department of Homeland Security’s Control Systems Cyber Emergency Response Team (ICS-CERT) and Philips Healthcare issued security advisories for vulnerabilities regarding the Philips' IntelliSpace Cardiovascular (ISCV) and Xcelera cardiology image and information management software products on Aug. 14.

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4 significant workflow challenges associated with enterprise imaging

As healthcare providers work to develop and implement enterprise imaging strategies, they often run into the same roadblocks again and again. A new white paper published in the Journal of Digital Imaging examined many of these issues, providing insight into what specialists can do to get past such problems and move forward.

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Harvey L. Neiman Health Policy Institute, Georgia Tech announce $3M partnership focused on AI, data analytics

The American College of Radiology’s Harvey L. Neiman Health Policy Institute and Georgia Institute of Technology in Atlanta have announced a new partnership focused on applying analytics and artificial intelligence (AI) to large medical claims databases.

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Large online brain cancer dataset—including genomics and imaging scans—released to the public

One of the two largest brain cancer data collections in the U.S. has been made publicly available to researchers worldwide through the Georgetown Database of Cancer (G-DOC), according to a release from Georgetown University’s Lombardi Cancer Center.

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Alabama hospital uses digital imaging to create newborn footprints

At Tuscaloosa’s DCH Regional Medical Center in Alabama, nurses are utilizing the latest imaging technology to create digital footprints of a newborn, WBRC Fox 6 News reports.

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Study: Integrated chest CT CAD workflow cuts reading times by up to 44%

Integrating a commercial chest CT computer-aided detection (CAD) system into a clinical radiology reporting workflow reduced reading times by as much as 44 percent, according to research published in Academic Radiology.

Are structured radiology reports failing physicians?

Structured radiology reports are becoming more common, allowing radiologists to work quickly and document key coding and billing information. But according to a recent commentary published in the Journal of the American College of Radiology, today’s radiology reports are increasingly unhelpful.

On-call training: PACS-integrated curriculum improves student comprehension, relieves anxiety

Training radiology residents for on-call duties using a blended-curriculum model—known as a flipped classroom—has been gaining traction in graduate medical education. A recent study found integrating a cloud-based PACS viewer further improved trainee comprehension and comfort.