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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EHR-based solutions to the iodinated contrast shortage reduce usage by 12%

This week in AJR, experts from a large, multisite health system detailed their efforts to preserve contrast supplies by implementing electronic health record (EHR) order entry-based interventions.

August 3, 2022

Why do so few patients utilize online access to radiology results?

Of 139,000 individuals enrolled in an online patient portal, just 27% viewed their radiology reports. 

August 1, 2022
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Radiology report follow-up recommendations: 4 ways to improve patient compliance

One out of every seven radiologist follow-up recommendations contained in imaging reports is not carried out, experts recently reported in JAMA Network Open.

July 25, 2022
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18F-FDG PET/CT radiomics nomogram provides detailed insight into neuroblastoma

Better risk stratification can improve clinical decision making and better outcomes, experts involved in the study explained in EJR.

July 21, 2022
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Algorithm spots enteric tube misplacement on x-ray with great accuracy

The model was externally validated using more than 1,500 radiographs with real-world incidence of critically misplaced tubes. 

July 18, 2022
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Content-based AI system decreases read times by 31% while increasing accuracy

Using CBIRS decreased interpretation times despite the radiologists who utilized them having to review the additional information the system provided.

July 14, 2022
Examples of new plaque reporting in the CAD-RADS 2.0 document. Left, an example from CAD-RADS 2 / P2 plaque burden with mild coronary stenosis (25-49%). Right, example of a CAD-RADS 5/ P3, with a focal, non-calcified occlusion of the proximal RCA (arrow) and severe amount of plaque (P3). #CADRADS #YesCCT #CTA #CCTA

New CAD-RADS 2.0 reporting for coronary CTA offers patient management recommendations

The document includes updated classification to established a framework for stenosis, plaque burden and plaque modifiers, including assessment of CT-FFR or myocardial CT perfusion.

July 8, 2022
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Bayer launches new platform to address challenges in radiology

This week Bayer announced the launch of Calantic Digital Solutions, a suite of applications intended to optimize clinical workflows by triaging and prioritizing critical findings, improving disease detection and automating tasks for radiologists. 

June 30, 2022

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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