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.

Wireless ultrasound device helps manage treatment in patients with sepsis

FloPatch is a wireless, wearable, FDA-approved doppler ultrasound system that attaches directly to a patient’s neck to continuously monitor carotid blood flow during intravenous fluid therapy.

March 14, 2023
Ransomware

Russian-speaking ransomware group leaks breast cancer patients' sensitive data

"We have been in your network a long time and have had time to study your business. We have stolen your confidential information and are ready to publish it," the ransomware group threatened.

March 13, 2023
Reporting

Disease-specific reporting templates improve completeness, but uptake remains limited

A new paper published in Clinical Imaging details the impact of a high-resolution CT reporting template catered specifically to interstitial lung disease.

March 7, 2023
brain mri

Deep learning model predicts Alzheimer's using routine MRI exams

When put to the test, the new model was able to predict Alzheimer’s risk with 90.2% accuracy.

March 5, 2023

No need for updated imaging prior to major surgery in some cases, new data show

Prior chest imaging can sometimes be just as predictive of adverse events after surgery as updated imaging, according to new data set to be presented at the annual conference of the American College of Cardiology on March 5. 

March 2, 2023
Attendees at RSNA 2022 in the Sectra booth learning about how enterprise imaging can help with workflows and connect numerous departments together for imaging. Photo by Dave Fornell

Rankings of radiology IT solutions by end-users in the 2023 Best in KLAS program

End-users of various radiology IT systems offer their assessment of the software in the annual KLAS Research 2023 Best in KLAS report.

February 22, 2023
The integration of artificial intelligence (AI) into radiology PACS and enterprise imaging systems has become a big topic of discussion with IT vendors over the past couple years. This has become a bigger question from hospitals and radiology groups as there are now about 400 radiology related AI algorithms that have U.S. Food and Drug Administration (FDA) clearance. Amy Thompson, a senior analyst at Signify Research, is monitoring radiology AI trends. Photo by Dave Fornell

Trends in the adoption and integration of AI into radiology workflows

Amy Thompson, a senior analyst at Signify Research, explains why AI adoption has been slow in radiology, common barriers and trends in the market.

February 17, 2023
CT of coronavirus pneumonia, a solitary rounded ground-glass opacity (GGO) pattern. A 51-year-old woman in China presented in January 2020 without fever, but had close contact with positive patients. Top, baseline axial unenhanced chest CT obtained 6 days before the first positive PCR test. Bottom, chest CT scan 4 days later shows the size increase of the lesion (arrow). Image courtesy of RSNA. #COVID #SARSCoV2

How effective are chest CT severity scores in managing COVID?

While the studies on these systems have proven them to be effective in diagnosing and treating COVID in specific cohorts, the varying settings in which they were used can make it difficult to derive definitive conclusions on their efficacy.

February 16, 2023

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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