Technology | Digital Radiography (DR) | December 28, 2017

New Thales Pixium Portable 3543 DR Features Embedded Patient Identification

Auto-detection mode allows system to operate without connecting to any external devices, improving efficiency

New Thales Pixium Portable 3543 DR Features Embedded Patient Identification

December 28, 2017 — At the 2017 Radiological Society of North America (RSNA) Annual Meeting, Nov. 26-Dec. 1 in Chicago, Thales unveiled the latest Pixium Portable 3543 DR (digital radiography), what it calls the first truly standalone device with Embedded Patient Identification working in auto-detection mode without connection to any external device.

With the growing need for hospitals to raise their competitiveness in the context of budgetary constraints, doctors and healthcare professionals are under ever increasing pressures to maximize their time and ensure each individual patient is treated as fast as possible without compromising quality of care. This is an environment where medical technology can excel.

By working in auto-detection mode, the new Pixium Portable 3543 DR does not need to connect to any external devices, making it easier and quicker to operate than legacy portable systems. This makes for higher efficiencies since practitioners can exam multiple patients at minimal dose, anywhere in the hospital. Thanks to its optimized workflow, errors and stress are minimized and time and money is saved. Images and patient files can be uploaded directly to the radiology room, eliminating the need for numerous computed radiography (CR) cassettes and answering the growing need of reducing system total cost of ownership.

For more information: www.thalesgroup.com

Related Content

In today’s digital environment, a radiologist only sees images saved and shared to the PACS, so a firm understanding of X-ray reject rates is crucial for high image quality and good workflow.

In today’s digital environment, a radiologist only sees images saved and shared to the PACS, so a firm understanding of X-ray reject rates is crucial for high image quality and good workflow.

Feature | Digital Radiography (DR) | January 29, 2019 | By Jeff Zagoudis
X-rays were the first medical imaging technology to be invented, and they remain one of the most commonly performed e
Artificial Intelligence Research Receives RSNA Margulis Award
News | Digital Radiography (DR) | January 28, 2019
The Radiological Society of North America (RSNA) presented its seventh Alexander R. Margulis Award for Scientific...
 Artificial Intelligence Shows Potential for Triaging Chest X-rays
News | Digital Radiography (DR) | January 23, 2019
An artificial intelligence (AI) system can interpret and prioritize abnormal chest X-rays with critical findings,...
FDA Clears Siemens Healthineers' Multix Impact Digital X-ray System
Technology | Digital Radiography (DR) | January 21, 2019
The U.S. Food and Drug Administration (FDA) has cleared the Multix Impact, an affordably priced, floor-mounted digital...
Sponsored Content | Videos | Digital Radiography (DR) | January 10, 2019
ITN Contributing Editor Greg Freiherr discusses how advances in digital technology are giving new meaning to the term...
Shimadzu Medical Systems USA Acquires Core Medical Imaging
News | Digital Radiography (DR) | January 08, 2019
Shimadzu Medical Systems USA has acquired Core Medical Imaging Inc. (CMI) in order to further expand its healthcare...
Siemens Healthineers Unveils Multix Impact Digital Radiography System at RSNA 2018
News | Digital Radiography (DR) | December 11, 2018
At the 104th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Nov. 25-30 in...
GE Healthcare Unveils New Applications and Smart Devices Built on Edison Platform
Technology | Artificial Intelligence | December 05, 2018
GE Healthcare recently announced new applications and smart devices built on Edison – a platform that helps accelerate...
Videos | Digital Radiography (DR) | November 30, 2018
This is an example of moving X-ray images displayed by Konica Minolta today at the...