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."

VIDEO: What to look for in radiology workflow orchestration software

Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, chairman of Quantum’s Board of Directors, discusses some of the questions radiology practices should be asking when evaluating orchestration software.

How to prevent cherry picking on radiology worklists

One of the problems in radiology today is the selective cherry picking of the easier, more desirable cases from the DICOM worklists and leaving the more complicated studies for other radiologists, which is one of the factors in radiologist burnout.

A radiologists reading station, image from Sectra

VIDEO: How to Prevent Radiologist Burnout

Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, chairman of Quantum’s board of directors, explains some of the issues that cause burnout and how technology can help mitigate issues that cause radiologists to leave.

Skyrocketing rates of head CT in the ED: Don’t look at advanced practice providers

The meteoric rise of noncontrast head CT in emergency settings is not explained by the conspicuous proliferation of nurse practitioners and physician assistants in the ED.

Managing incidental radiologic findings: ACR-led initiative proposes several recommendations

Authors of the JACR paper noted the timeliness of the proposed measures, referring to CMS’ prioritization of measures of patient outcomes.

Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, explained how the radiology group orchestrates its work lists for load balancing at the 2022 Radiology Business Management (RBMA) meeting.

VIDEO: Approaches to intelligent radiologist worklist orchestration

Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, chairman of Quantum’s Board of Directors, explains how the radiology group orchestrates its work lists for load balancing using an AI-driven IT system for its work lists.

Crowdsourced X-rays suitable for training AI in orthopedic injuries

The Internet is an acceptable source of images for training algorithms to automatically triage patients with dislocated joints and similar orthopedic emergencies.

4 increasingly common uses for imaging AI in the ED

As FDA-approved AI software continues to proliferate in radiology—well more than 150 products to date and rising—a trio of Yale radiologists has compiled a status report focused on AI applications available to, specifically, emergency 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