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.

Lack of transparency in AI research limits reproducibility, renders work 'worthless'

A recent analysis found that a significant amount of studies do not provide information pertaining to their raw data, source code or model. As a result, up to 97% of these studies do not produce systems that are fit to be used in real-world clinical scenarios.

An example of artificial intelligence (AI) automated detection of a intracranial hemorrhage (ICH) in. a CT scan used to send alerts to the stroke acute care team before a radiologist even sees the exam. Example shown by TeraRecon at RSNA 2022.

VIDEO: Radiology AI aids acute care and other departments

Sanjay Parekh, PhD, senior market analyst with Signify Research, explains how some radiology AI is being adopted outside of radiology departments to improve care.

This is Enterprise Imaging

Sponsored by Sectra

In this interactive ebook, we bring together stories, interviews, webinars, podcasts, case studies and white papers that shine light on how enterprise imaging is making care more insightful, efficient, effective, collaborative, robust, cloud-enabled and even more affordable.

radiology reporting EHR health record CDS AUC

Follow-up care improves with reporting template for incidental findings

Use of the template, which included PCP notifications, also resulted in an increase of biochemical testing, follow-up imaging and specialist referrals in patients with incidental adrenal masses.

Example of AI automated detection and highlighting of critical lung findings on a chest X-ray for a possible lung cancer nodule and fibrosis. Example shown by AI vendor Lunit.

VIDEO: Radiology AI trends at RSNA 2022

Sanjay Parekh, PhD, senior market analyst with Signify Research, discusses trends in radiology AI seen on the expo floor and in sessions at RSNA 2022.

ACR rolls out quick guide to LDCT incidental findings

Clinicians who routinely manage patients screened for lung cancer with low-dose CT have a new 1-page printout to illuminate evidence-based care pathways when faced with significant but questionably urgent incidental findings.

What do Google and Amazon really want from medical imaging?

Big Tech’s recent expansions into medical imaging have business watchers scrambling to decipher the unspoken stratagems beneath the conspicuous moves.

Dynamic lung air flow analysis just using X-ray without any contrast with new technology from 4D Medical.

PHOTO GALLERY: New technology and trends at RSNA 2022

Images from the Radiological Society of North America (RSNA) 2022 annual meeting Nov. 27- Dec. 1 in Chicago. The gallery includes new technologies and a look at sights around the world's largest radiology conference.

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