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."

Researchers use NLP techniques to extract data from free-text radiology reports

Natural language processing (NLP) techniques can help extract relevant data from free-text radiology reports, according to a study published in Journal of Digital Imaging.

Dicom Systems to unveil Load Balancer enterprise imaging module at SIIM 2018

Dicom Systems, a California-based enterprise imaging and teleradiology IT company, has announced the release of Load Balancer, an updated module for its Enterprise Imaging Unifier platform.

Radiologist shares firsthand account of treating terror attack victims

On July 14, 2016, a terrorist drove his truck through a large crowd in Nice, France, killing 86 people and injuring more than 450. Nicolas Amoretti, MD, with the department of radiology at Centre Hospitalier Universitaire de Nice, helped treat patients in the immediate aftermath of the attack.

Researchers believe a radiomics approach can eliminate false positives in CT imaging for lung cancer

A team of U.S. researchers has found a radiomics approach to analyze CT images of lung cancers that may eliminate false positives during cancer screening. It could potentially minimize morbidity, mortality and healthcare costs.

UK healthcare organizations speak out: Radiology workforce needs backup to handle breast screening backlog

Public Health England (PHE) revealed this month that, since 2009, approximately 450,000 women around the age of 70 were not sent invitations to receive breast cancer screening due to an IT issue. Jeremy Hunt, the U.K.’s health and social care secretary, has said the government will provide catch-up screening to women under the age of 72 within six months.

Redefining the imaging report in 2018: ‘Radiologists can and must do better'

Granting radiology patients access to online patient portals is growing transparency in the field, Atlanta radiologist Nadja Kadom, MD, and colleagues have reported in the Journal of the American College of Radiology—but a lack of health literacy across the country is compromising the success of such an idea.

Structured reporting drops revision rate by 50% for CT angiography exams

Radiologists and referring physicians prefer structured reports—and they present concrete advantages to free-text alternatives. Recent research showed structured reports can reduce errors, help standardize resident training and improve recall of important information.

Study-specific report templates help radiologists provide more information

Creating a specific report template for chest CT angiographic (CTA) examinations for suspected pulmonary embolism (PE) helps radiologists provide clinicians with more information, according to a new study published in the Journal of the American College of 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