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.

Konica Minolta Healthcare Introduces New Financing Services Program for Exa Enterprise Imaging Platform

Konica Minolta Healthcare Americas, Inc., announced today a new financing services program for the company’s Enterprise Imaging platform, Exa®. Konica Minolta Payment Services is an in-house financing option that provides customers with a one-stop shop for the acquisition of advanced Enterprise Imaging information technology (IT) solutions. 

June 17, 2019
Blockchain generic

3 key ways blockchain could change radiology forever

Blockchain technology is gaining popularity throughout the world and could potentially have a significant impact on the medical imaging industry, according to a new analysis published in the Journal of Digital Imaging.

June 14, 2019
What should radiology be expending, in manpower as well as money, to help make medical imaging accessible to and from every clinical department? And what’s in enterprise imaging for radiology, anyway?

HIMSS, SIIM share guide to building an effective enterprise imaging strategy

HIMSS and SIIM have collaborated on a new white paper focused on how to effectively build and implement an enterprise imaging (EI) system.

June 10, 2019
As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

SIIM, ACR hosting new AI challenge focused on pneumothorax detection

The Society for Imaging Informatics in Medicine (SIIM) and American College of Radiology (ACR) are hosting a new machine learning challenge as part of a collaboration with the Society of Thoracic Radiology (STR) and MD.ai.

June 3, 2019

Is your medical imaging data safe? 4.4M files exposed online, according to new report

More than two billion files—including approximately 4.4 million medical imaging files—have been exposed online across various storage technologies, according to a new report from Digital Shadows.

June 3, 2019

Imaging utilization for low back pain on the rise

Imaging utilization for low back pain by primary care providers has increased in recent years, according to new findings published in the Journal of the American College of Radiology.

May 23, 2019

Midwest Hospital Purchases Carestream’s Radiology PACS, Advanced Image Reading, Reporting Tools

Broadlawns Medical Center (Des Moines, Iowa) purchased Carestream’s Clinical Collaboration Platform (see video link) with features that include advanced visualization, mammography, 3D, lesion management, PET-CT applications and integrated voice recognition.

May 17, 2019

Automated feedback helps radiologists learn from pathology results

Would an automated radiology-pathology feedback tool provide value for radiologists? Researchers developed one and studied its effectiveness, sharing their findings in the Journal of the American College of Radiology.

May 8, 2019

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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