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.

Sectra KLAS 2021

Sectra takes home 5 ‘Best in KLAS’ awards in PACS and digital pathology

The company has been named No. 1 in customer satisfaction for the eighth year in a row.

February 2, 2021

New database of FDA-cleared algorithms helps radiologists quickly navigate complex AI environment

The American College of Radiology's catalog includes 111 class 2 medical imaging algorithms searchable by company, modality, subspeciality, and more.

February 1, 2021

Workload fatigue is harming radiology residents’ reporting, declining as the hours, days elapse

Small lunch breaks throughout a shift, however, temporarily bucked this trend, according to a study of 117,000 reports, published in Radiology.

January 26, 2021

As healthcare transitions toward value, radiologists need renewed focus on tumor reporting

Tumor size is "essential" data for oncology studies and imaging professionals are the most qualified and appropriate person for the job, one editorialist explained.

January 22, 2021
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Radiologists, emergency physicians see eye-to-eye when using common reporting language

Providers at Madigan Army Medical Center in Washington shared a "high degree" of understanding for 17 of 18 commonly used phrases, researchers explained in AJR.

January 21, 2021

Attending radiologists must embrace a dynamic approach to readouts for trainees to properly develop

The impact of readouts on young rads is "profound, but often overlooked," radiologists argued recently.

January 18, 2021
Cybersecurity

‘Zero’ watermarking images provides needed security, but can’t fully safeguard radiology data

It particularly falls short at determining if a modified image belongs to the original author or someone else's similar image.

January 13, 2021
What to look for in radiology workflow orchestration software. Enterprise wide advanced visualization

Having attending radiologists cover overnight reporting reduces ED imaging callbacks by 90%

University of Toronto researchers also believe this practice will decrease costs and enhance patient flow in their emergency department, they explained in Emergency Radiology.

January 11, 2021

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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