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 Partners launches new technology services division
The country’s largest imaging group—with 4,000 radiologists working across all 50 states—is rolling out an offshoot called Mosaic Clinical Technologies.
GPT-4o's 'all or nothing' accuracy continues to hinder its radiologic capabilities
The model has been trained to process and generate text, images and audio, which has made it a target for researchers seeking ways to improve both radiology workflows and access to quality care in rural settings.
The FDA has cleared more than 1,200 clinical AIs—and submissions are increasing
In the past year, there has been a record number of new medical AI submissions, resulting in 300 new clinical AI clearances. The number of submissions has been steadily rising over the past decade.
PET imaging provider hit with multi-state phishing attack
Nashville, Tennessee-based Integrated Oncology Network alerted Health and Human Services in late June about the hacking incident, with thousands potentially affected.
Cardiology still No. 2 in FDA-cleared clinical AI algorithms, trailing only radiology
Cardiology continues to be one of the most influential healthcare specialties when it comes to utilizing artificial intelligence.

What is the radiologist's role in variations of prostate cancer detection?

Prior studies have focused on radiologist performance rather than patient outcomes, leaving the topic of variable diagnoses and what factors impact them—race, ethnicity, age, biopsy type, etc.—open for debate.

Total body PET/CT scans may offer benefits for evaluating arthritis

Low-dose scans showed high agreement with joint-by-joint rheumatological evaluations.

Brain imaging scans unlock mysteries about depression and resilience

The new findings may contain important implications for neuromodulation therapies to treat depression symptoms.

VIDEO: KLAS shares trends in enterprise imaging and AI

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, explains some of technology trends KLAS researchers have found in enterprise imaging system and radiology artificial intelligence (AI).

Charles E. Kahn, Jr., MD, MS, Editor of the the journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine. He has been heavily involved in radiology informatics and has seen up close the evolution of radiology toward deeper integration with AI. #RSNA

VIDEO: Use cases and implementation strategies for radiology artificial intelligence

Charles Kahn, Jr., MD, editor of the the journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, explains the work involved integrating AI in radiology systems and the role of AI in augmenting patient care.

VIDEO: Assessing radiology AI and understanding programatic bias

Charles E. Kahn, Jr., MD, MS, editor of the the RSNA journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, discusses the need to validate AI algorithms with your own patient population data.

Google Cloud intros ambitious branch dedicated to medical imaging

A Big Four tech company has launched a platform it hopes will accelerate data interoperability and AI adoption in, specifically, medical imaging.

Cardiovascular information systems (CVIS) combine imaging and reporting into one system that allows access across the cardiovascular service line. Here are 7 trends in CVIS according to KLAS.

VIDEO: 7 trends in cardiovascular information systems seen by KLAS

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, explains a few of the key technology trends in cardiovascular information systems (CVIS).

Enterprise Imaging

Radiology Partners launches new technology services division

GPT-4o's 'all or nothing' accuracy continues to hinder its radiologic capabilities

The FDA has cleared more than 1,200 clinical AIs—and submissions are increasing

PET imaging provider hit with multi-state phishing attack

Cardiology still No. 2 in FDA-cleared clinical AI algorithms, trailing only radiology