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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Radiology practice reportedly working with FBI after ‘data security incident’

Mt. Baker Imaging and Northwest Radiologists in Bellingham, Washington, have engaged with outside forensic specialists to aid in the investigation. 

money cybersecurity ransomware health IT data breach hacker

Radiology practice will pay $350,000 for allegedly violating HIPAA Rule prior to cyberattack

HHS charges that New York state-based Northeast Radiology failed to conduct a thorough risk analysis of its systems, which may have prevented the PACS breach. 

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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. 

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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. 

Manisha Bahl, MD, breast imaging division quality director and breast imaging division co-service chief, Massachusetts General Hospital, and an associate professor of radiology, Harvard Medical School, explains the findings of a recent study she was involved in at RSNA 2024. She also offers insights into growing interest at sessions in using AI in breast imaging.

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."

Pinehurst Radiology Associates

Radiology practice remains closed more than 1 month after cyberattack

Pinehurst Radiology Associates recently gave notice of the incident, launching an investigation amid suspicious activity on its network. 

cybercrime data breaches in healthcare

Newly proposed cybersecurity rule could cripple private radiology practices, RBMA says

This marks the first major update to the HIPAA Security Rule in over a decade, with HHS seeking to require multifactor authentication and written documentation of all policies. 

Nicholas Galante

AI is revolutionizing radiology workflow and patient care

Sponsored by Viz.ai

In the rapidly evolving healthcare landscape, artificial intelligence (AI) is making significant strides in improving radiology workflow and patient care coordination. Nicholas Galante, MD, medical director of informatics at Radiology Associates of North Texas, recently discussed how technology from Viz.ai is transforming his radiology practice, enhancing efficiency, and ultimately benefiting patient outcomes. 

Around the web

News of an incident is a stark reminder that healthcare workers and patients aren’t the only ones who need to be aware around MRI suites.

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.