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 reportedly working with FBI after ‘data security incident’
Mt. Baker Imaging and Northwest Radiologists in Bellingham, Washington, have engaged with outside forensic specialists to aid in the investigation.
Pre-procedure patient questionnaires reduce IR scheduling hiccups
Increased demand for interventional procedures has inevitably resulted in more patients with complex medical needs entering the IR suite.
American-made GPT-4 knows no borders, translates radiology reports into different languages
New research highlights the potential of GPT-4 to enhance radiologists’ communication of findings in clinical environments across the pond.
Radiology practice will pay $350,000 for allegedly violating HIPAA Rule prior to cyberattack
HHS charges that New York state-based Northeast Radiology failed to conduct a thorough risk analysis of its systems, which may have prevented the PACS breach.
How often does mid-treatment imaging change how cancers are managed?
Imaging might not drive as many treatment adjustments as previously believed, according to a new meta-analysis.

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.

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.

artificial intelligence in radiology medical imaging interpretation

Interpretive AI for medical imaging: 5 points of skepticism, idealism

Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.

New AI tool helps radiologists reduce read times by up to 40%

Its use dropped the average time needed to examine a finding at all timepoints from 107 seconds to 65 seconds, with pulmonary nodule assessments benefiting from the greatest reductions.

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.

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.

Google's latest large language model is poised to give ChatGPT a run for its money in imaging

One of the main goals of Med-PaLM 2 is to “synthesize information like X-rays and mammograms to one day improve patient outcomes.”

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.

Enterprise Imaging

Radiology practice reportedly working with FBI after ‘data security incident’

Pre-procedure patient questionnaires reduce IR scheduling hiccups

American-made GPT-4 knows no borders, translates radiology reports into different languages

Radiology practice will pay $350,000 for allegedly violating HIPAA Rule prior to cyberattack

How often does mid-treatment imaging change how cancers are managed?