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.

Thumbnail

RSNA 2018: Researchers turn to AI to protect imaging equipment from cyberattacks

Medical imaging equipment is highly susceptible to cyberattacks, putting hospitals and imaging centers at a serious risk of losing functionality of those systems and even having data stolen by an outside entity. This concerning issue is the focus of two studies being presented at RSNA 2018 in Chicago.

Ambra Health and Google Cloud Collaborate to Advance Healthcare Research with Anonymized Medical Imaging Data

Ambra Health, makers of the leading cloud-based, medical image management suite, today announced a new collaboration with Google Cloud to advance healthcare research with anonymized medical imaging data.

Monthly reviews improve adverse event reporting in interventional radiology

Monthly conference compliance reviews could improve unprompted adverse event (AE) reporting among interventional radiologists, according to a Penn Medicine study published Nov. 20 in the Journal of the American College of Radiology.

Thumbnail

RSNA 2018: What many radiology departments still get wrong about customer service

Providing high-quality customer service is a key component of any business strategy. After all, if your customers aren’t happy, why would they ever use your services again or recommend you to a friend?

Why efficiency, not AI, could be the biggest theme of RSNA 2018

With RSNA 2018 rapidly approaching, Signify Research has published a new report on the trends expected to steal the show. And, yes, artificial intelligence (AI) seems like an obvious choice for No. 1, but the report suggests another top trend: efficiency.

Thumbnail

Market update: Imaging leaders falling out of love with deconstructed PACS

The idea of implementing a “deconstructed PACS”—using multiple vendors for key solutions such as your PACS, VNA and viewers—was gaining huge momentum among imaging providers as recently as a few years ago. Now, however, providers are moving away from a best-of-breed approach to its imaging solutions and embracing a single-source approach.

Thumbnail

Stanford researchers find more data isn’t better when training AI to classify chest x-rays

Researchers from Stanford University have determined that convolutional neural networks (CNNs) trained with just 20,000 labeled images can accurately classify chest x-rays as either normal or abnormal, according to a new study published Nov. 13 in Radiology.

Carestream Showcases Latest Multimedia Reporting Advances at RSNA

Carestream

Carestream’s latest generation of radiology reporting is taking an impressive step forward with the integration of multimedia content such as graphs, tables, images and hyperlinks.