News | Enterprise Imaging | May 04, 2016

KLAS Report Recognizes Infinitt for Broad Portfolio of Imaging IT Solutions

Report highlights Infinitt’s enterprise image management solution with vendor neutral archive capabilities

May 4, 2016 — Infinitt North America announced that the company was highlighted in the new KLAS specialty report, “Imaging IT Landscape 2016 Enterprise Platform: The Next Nirvana?” The report, released April 5, compares vendor performances and calls Infinitt an up-and-comer “ripe to disrupt imaging marketshare.”  

Providers are faced with the challenge of working more collaboratively with disparate products across a variety of segments, the report stated. “To meet this challenge, some organizations have opted to partner with a single vendor who can meet their broad imaging IT needs in seven key areas: cardiology, hemodynamics, image exchange, PACS [picture archiving and communication systems], RIS [radiology information systems], universal viewer and VNA [vendor neutral archives].”

The report calls Infinitt enterprise image management solution a “powerful, Web-based PACS/cardiology/RIS platform expanding into VNA” and cites Infinitt as “straightforward, easy-to-use technology with nimble development and strong integration as strengths.”
 
Although it has been difficult to arrive at consensus on what the term “enterprise image management” encompasses, KLAS researchers found “providers overwhelmingly agreed that vendor neutral archives (VNAs) and universal viewers are the bedrocks of enterprise imaging.”

Infinitt’s VNA offering, called Infinitt Healthcare Platform, is currently being implemented at several customer sites across the nation.

For more information: www.klasresearch.com

Related Content

The Candelis ImageGrid Plus PACS Server is an ultra-high-performance platform that can support high volume healthcare environments of 1,000 plus modalities
News | PACS | February 12, 2020
February 12, 2020 — The Candelis ImageGrid Plus...
PaxeraHealth enterprise imaging, PACS, VNA solutions
News | Enterprise Imaging | February 11, 2020
February 11, 2020 — Enterprise Imaging developer PaxeraHealth
An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019.

An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019. Photo by Dave Fornell.

Feature | Artificial Intelligence | February 07, 2020 | Sanjay Parekh, Ph.D. 
February 7, 2020 – At the 2019 Radiological Society...
Infervision’s deep learning medical imaging platform is helping screen patients for the coronavirus in China. It acts as second pair of eyes to identify multiple diseases from one set of chest scans. The artificial intelligence (AI) can provide a complete view of the nodule, including volume and density.

Infervision’s deep learning medical imaging platform is helping screen patients for the coronavirus in China. It acts as second pair of eyes to identify multiple diseases from one set of chest scans. The artificial intelligence (AI) can provide a complete view of the nodule, including volume and density.

News | Artificial Intelligence | February 04, 2020
February 4, 2020 — Since January 2020, the...
Qynapse, a medical technology company, announced that it received U.S. Food and Drug Administration (FDA) 510(k) clearance for its QyScore software
News | Information Technology | February 04, 2020
February 4, 2020 — Qynapse, a medical technology company, anno
While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology IT vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with internet connection and pull images from radiology and surgery.

While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology information system vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with an internet connection and able to pull in images from both radiology and surgery. 

Feature | Enterprise Imaging | February 02, 2020 | Steve Holloway
The growing influence and uptake of electronic medical records (EMRs) in healthcare has driven debate over the future

Cloud-scale storage architecture is key to orchestrating highly secure, reliable and accessible data systems using affordable, efficient and sustainable approaches.

Feature | Information Technology | February 01, 2020 | By Tyna Callahan
In healthcare, critical systems are being used to deliver vital information and services 24/7/365.
RSNA 2019

RSNA 2019

Feature | Radiology Imaging | January 31, 2020 | By Greg Freiherr
The founder of Gonzo journalism thought
GE Centricity Pacs

Photo courtesy of GE Healthcare

Feature | Vendor Neutral Archive (VNA) | January 31, 2020 | By Melinda Taschetta-Millane