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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M&A mergers and acquisitions business deal

Intelerad acquiring cloud specialist Ambra Health to form $1.7B enterprise imaging giant

The combined company now manages more than 50 billion medical images and will read upward of 130 million exams each year.

mergers and acquisitions M&A puzzle

Intelerad acquiring Ambra Health, forming $1.7B enterprise-imaging and PACS powerhouse

Together they'll read more than 130 million exams annually and serve 2,000 customers including the 10 top U.S. hospitals, the two said. 

Radiologists, referrers prefer switch to subspecialized reporting system over modality-based scheme

Imaging team members said productivity, confidence and turnaround times all improved under a centralized reporting system.

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What radiology providers can do to prepare for the new ‘AI data paradigm’

Data streams are becoming an increasingly important part of the specialty's value to healthcare, and practices will need new mechanisms to utilize this information.

New ACR report identifies 3 pressing concerns when sharing patient imaging data

Organizations must consider everything from de-identifying image data and rad report info, and establishing proper frameworks.

6 steps for seamlessly integrating an artificial intelligence solution into daily clinical practice

University Hospitals recently finished implementing a novel algorithm for detecting pneumothorax, sharing its early lessons learned in the Journal of the American College of Radiology. 

Wearing a face mask may increase dictation errors in radiology reports

The difference when using speech-recognition software may be accentuated in certain groups of radiologists, UNC researchers detailed in the Journal of Digital Imaging.

5 Years into the Cloud, John Muir Health Is Just Getting Started

Sponsored by Sectra

One 3D mammogram acquired via digital breast tomosynthesis adds about 500 MB of image data to a hospital’s storage system. That’s the average. On the high end, a single study can occupy as much as 3 GB of real estate on a finite-volume storage server.

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