Download Mobile App

Video Library

Enterprise Imaging Platform Simplifies Accessibility of Clinical Data

By MedImaging International staff writers
Posted on 27 Oct 2015

A new enterprise imaging platform from a major imaging vendor is being announced at the Radiological Society of North America (RSNA 2015) annual meeting.

The platform includes workflows, and tools to consolidate medical images, and facilitate the dissemination of a patient’s Electronic Imaging Record (EMR) within an enterprise. The use of a single standardized platform results in increased clinical efficiency, and reduced Internet Technology (IT) costs. The platform also spurs innovation in enterprise strategy.

The platform was announced by Agfa HealthCare (Mortsel, Belgium) and it simplifies the creation of a single comprehensive patient imaging record. The platform has a modular construction and can be deployed in stages, beginning with enterprise viewing, storage, image capture, diagnostic departmental solutions, and a healthcare portal, and can be expanded to become a complete medical imaging solution.

The platform facilitates access to images using a secure portal, and specialized departmental workflows and tools for radiology, orthopedics, cardiology, ophthalmology, dermatology, and nursing care. The platform also enables real-time collaboration and sharing of information. The platform includes a Vendor Neutral Archive (VNA), and Information Lifecycle Management, increasing data integrity, saving time, and reducing costs. The platform also enhances reporting by enabling sectional reporting for radiologists, and next generation structured reporting for cardiologists. The Enterprise Imaging platform can also be deployed remotely as a hosted SaaS (Software as a Service). The platform consists of several 64-bit servers ensuring availability, and disaster recovery, and scalability, and be used in cluster mode.

James Jay, global vice president, Imaging IT solutions, Agfa HealthCare, said, “Agfa HealthCare Enterprise Imaging is a truly new platform: it is not a PACS add-on, but instead based on new technology. It has been a key part of Agfa HealthCare’s strategy for a long time, and demonstrates the unrivalled value we add as an enterprise imaging provider. But our approach goes beyond the technological: Agfa HealthCare acts as a trusted advisor and provider to healthcare enterprises all the way along this journey to assure a successful implementation.”

Related Links:
Agfa Healthcare

Visit expo >

Digital X-Ray Detector Panel

Acuity G4

Diagnostic Ultrasound System

DC-80A

Ultrasonic Pocket Doppler

SD1

High-Precision QA Tool

DEXA Phantom

Latest Imaging IT News

Channels

Radiography

view channel

Image: Screening mammograms and artificial intelligence (AI) score changes over time in two individuals with screen-detected cancer. Full-field digital mammograms show craniocaudal (top) and mediolateral (bottom) views of the left and right breast (Photo courtesy of Radiological Society of North America)

AI Mammography Tools Detect Early Breast Cancer Signs Years Before Diagnosis

Breast cancer screening aims to detect tumors before symptoms develop, but subtle mammographic changes can appear years before diagnosis and may be missed during routine reads. Delayed detection can lead... Read more

$Image: Kyushu University researchers use Dynamic Chest Radiography (DCR) to evaluate the severity of Pulmonary Regurgitation (PR), a common complication after treatment of the congenital heart disease Tetralogy of Fallot. The analysis only requires the patient to hold their breath for seven seconds for a sequence of images of their heart to be taken. The images are then analyzed and extracted into a waveform that can show the severity of PR. The new technique\\\'s detection accuracy of severe PR is 93%, with a sensitivity of 93% and a specificity of 94%. (Photo courtesty of Kyushu University/Yuzo Yamasaki)$

Rapid X-Ray Test Quantifies Pulmonary Regurgitation After Tetralogy of Fallot Repair

Tetralogy of Fallot is the most common cyanotic congenital heart defect and can leave patients with pulmonary valve regurgitation, a backward flow of blood into the right ventricle after repair.... Read more

Image credit: Shu-Han Chen / St. Paul’s Hospital / National Taiwan University

AI Tool Flags Osteoporosis Risk from Routine Chest X-Rays

Osteoporosis is a progressive loss of bone density that is often silent until a fracture occurs. Current screening frameworks concentrate on older women and select high-risk groups. Many men, younger adults,... Read more

Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery

Obstructive ventilatory disorder, marked by airflow limitation that reduces breathing efficiency, increases postoperative risk in patients with lung cancer. Although surgery offers the best chance of cure,... Read more

MRI

view channel

International Study Assesses AI for Prostate Cancer MRI Interpretation

Prostate cancer is a leading cause of cancer morbidity in men, and accurate early diagnosis hinges on expert interpretation of prostate magnetic resonance imaging (MRI). Rapid adoption of MRI-first pathways... Read more

$Image: By training the AI with simulations, researchers can reconstruct brain images with high precision using only one-tenth of the data typically required in magnetic resonance imaging. The image shows a metric known as “fractional anisotropy”—an index of myelination—obtained using conventional methods and with the new approach (Photo courtesy of Instituto de Neurociencias UMH CSIC)$