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.

SimonMed Imaging gives official notice of cyberattack weeks after initial reports
The Scottsdale, Arizona-based radiology practice issued a notice to impacted parties on March 28 after reports of the hack first started surfacing in mid-February.
RamSoft and Alpha Nodus partner to streamline imaging prior authorization processes
RamSoft, a leader in cloud-based RIS/PACS radiology solutions, and Alpha Nodus, a developer of AI-driven administrative tools for medical offices, announced their partnership on Wednesday.
FBI issues alert on notorious ransomware group that targeted radiology practice
Medusa has hacked over 300 victims including SimonMed Imaging, hospitals, law firms and manufacturers, according to the federal cybersecurity advisory.
MRI-based Node-RADS effectively improves staging of head and neck cancer
Use of the scoring system could offer providers valuable preoperative insight and help guide them in surgical decisions.
What radiologists think about using ChatGPT and AI in breast imaging
Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

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.

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.

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.

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.

Carestream Showcases Latest Multimedia Reporting Advances at RSNA

ROCHESTER, N.Y.— 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. These elements add value to traditional reports while boosting productivity and collaboration among healthcare providers. Machine vision algorithms also enhance the reporting process and increase radiologists’ efficiency by providing tools that can help detect, measure and diagnose abnormalities.

CDS tool improves reader diagnosis of bladder cancer response to treatment

A decision support tool can help physicians better diagnose bladder cancer treatment response on CT, according to an Nov. 10 study published in Academic Radiology.

Enterprise Imaging

SimonMed Imaging gives official notice of cyberattack weeks after initial reports

RamSoft and Alpha Nodus partner to streamline imaging prior authorization processes

FBI issues alert on notorious ransomware group that targeted radiology practice

MRI-based Node-RADS effectively improves staging of head and neck cancer

What radiologists think about using ChatGPT and AI in breast imaging