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.

AI beats standard regression models at predicting lung cancer risk
Not all AI or regression models are the same, nor do they all incorporate the same data when assessing patient risk.
VI-RADS threshold, imaging features predict bladder cancer invasiveness with nearly 100% accuracy
New findings related to Vesical Imaging-Reporting and Data System scores and specific MRI findings could improve the management of bladder cancer.
Chinese hackers use malware disguised as imaging viewers to steal patient data
The software has been primarily disguised as Philips’ DICOM MediaViewerLauncher.exe—a trusted program that enables patients to view their medical imaging on their own personal servers.
5 steps for evaluating radiology AI applications
Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI.
Adaptable AI system detects subtle changes in imaging, has potential across multiple clinical settings
The Learning-based Inference of Longitudinal imAge Changes, or LILAC, system harnesses machine learning to review medical images that have been collected over a prolonged period.

Integrated RIS-PACS: Is it the Right Choice?

While PACS enables radical changes in how an imaging center or radiology department manages its business, the intelligence features of the radiology information system (RIS) manage department workflow.

More Than Remote Success

The value of PACS escalates as radiologists expand their volume of work and other providers seek subspecialty expertise through teleradiology.

Standards Watch | DICOM Turns 20: A Retrospective and a Look Forward

A large group of DICOM geeks, gurus and other interested parties gathered in September in Baltimore to celebrate the DICOM (digital imaging and communications in medicine) 20-year anniversary.

A Big Byte: PACS Widen Image Storage Boundaries

Image storage has become the primary concern and key component of PACS, in large part because as much as 60 percent of all hospital storage is used by and originates with the system.

Accessing Patient Information Via PACS

Doctors at California's San Antonio Community Hospital make life-and-death decisions daily. Read a first-hand account of how the healthcare facility keeps its PACS operating virtually flawlessly.

Film Digitizers

Film digitizers are helping radiology departments bridge the technology gap between analog film and the digital imaging environment.

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Cardiovascular Business

ASE updates recommendations for assessing right heart function in patients with pulmonary hypertension

The new guidelines were designed to ensure sonographers and other members of the heart team have the information they need to screen patients when appropriate and identify early warnings signs of PH.

Radiology Business

Shift toward imaging outside the hospital could save billions

Harvard’s David A. Rosman, MD, MBA, explains how moving imaging outside of hospitals could save billions of dollars for U.S. healthcare.

Cardiovascular Business

‘A significant milestone’: First US patients receive doses of new PET radiotracer for CAD

Back in September, the FDA approved GE HealthCare’s new PET radiotracer, flurpiridaz F-18, for patients with known or suspected CAD. It is seen by many in the industry as a major step forward in patient care.

Enterprise Imaging

AI beats standard regression models at predicting lung cancer risk

VI-RADS threshold, imaging features predict bladder cancer invasiveness with nearly 100% accuracy

Chinese hackers use malware disguised as imaging viewers to steal patient data

5 steps for evaluating radiology AI applications

Adaptable AI system detects subtle changes in imaging, has potential across multiple clinical settings

Around the web