Health IT

Healthcare information (HIT) systems are designed to connect all the elements together for patient data, reports, medical imaging, billing, electronic medical record (EMR), hospital information system (HIS), PACS, cardiology information systems (CVIS), enterprise image systems, artificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

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.

Enterprise PACS in a New Enterprise

Sky Ridge Medical Center opened in August 2003 with a significant investment in cutting-edge technology and a commitment to a filmless environment.

Leveling the Field: Comparing Storage Media Costs

A range of more affordable storage choices is allowing storage area network access for mid-range and small-scale healthcare facilities.

Web-based PACS Packs Interest

The PACS of today is definitely a more mature sibling of the PACS of a decade ago.

Standards Watch | PACS Through the Years

PACS through the years definitely has been a "lessons learned" experience. This article describes some of the history, and evolution of these systems as well as early experiences.

Workstations: At your fingertips

Managing the flow of images from numerous modality scanners to specific workstations for post-processing is one of the critical elements in maintaining and boosting radiology department productivity.

On Display: Monitors Show Their True Colors

Film on a lightbox or a digital image on a monitor - while the purpose is the same, the technology behind each is oh so different. The bottom line remains that the radiologist wants to know that the images - analog or digital - are of optimal diagnostic q

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.

Around the web

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.

Health IT

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