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.

Radiology practice suffers ‘significant’ cyberattack

Medford Radiology was left unable to see or report on images and was still assessing the scope of the attack as of May 30. 

June 1, 2023
Signify Research analyst Amy Thompson discusses connecting pathology and others with enterprise imaging systems.

Interest rising to connect pathology, other departments to enterprise imaging systems

Signify Research senior analyst Amy Thompson explains the trend of connecting various departments to enterprise imaging systems. She said digital pathology may soon become the third largest user of these systems.

May 31, 2023
Scan workflow WVU radiology

Remote radiologists prioritize financial gain when choosing reads: 2 possible fixes

An intense focus on RVU productivity may have unintended negative consequences, experts wrote in the Journal of Operations Management.

May 17, 2023
Rajesh Bhayana MD Toronto General Hospital in Toronto on ChatGPT passing radiology board.

Latest version of ChatGPT AI passes radiology board exam

However, GPT-4 confidently delivered incorrect or irrelevant answers on some questions, according to new research in Radiology. 

May 16, 2023
Imaging

Natural language processing helps increase follow-up imaging adherence, resulting in significant revenue

A new paper details how a team at the University of California utilized a hybrid system consisting of a quality coordinator and NLP software to bring in more than $60,000 in additional revenue from follow-up imaging alone.

May 15, 2023
Automated AI measurements for Pediatric X-ray for hip dysplasia, Sectra HIMSS23.

PHOTO GALLERY of radiology technologies at HIMSS 2023

Many new imaging solutions were on display at the world's largest health informatics conference, held at McCormick Place in Chicago.

May 8, 2023

Radiology practice sues broker for allegedly letting insurance lapse the same day it suffered a cyberattack

Raleigh Radiology is seeking $1 million-plus in damages, alleging that Arthur J. Gallagher & Co. failed to renew its cyber liability insurance ahead of a ransomware attack. 

May 8, 2023
Christina Caraballo, MBA, HIMSS vice president of informatics, explains that healthcare system data is increasingly moving into the cloud. Healthcare is catching up to others industries in the consumer space that already leverage cloud data storage and computing power to enable instant, anywhere access to data.

Healthcare IT data storage is moving to the cloud

Christina Caraballo, MBA, HIMSS vice president of informatics, explains that healthcare data is increasingly moving into the cloud to keep up with the times and allow immediate, instant access.

May 5, 2023

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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