PACSGEAR Image Exchange to be showcased at SIIM 2012

NewsGuard 100/100 Score

PACSGEAR, the leading provider of imaging connectivity for electronic health records, today announced the PACSGEAR Image Exchange, a cloud-based solution designed to securely upload and share medical images and results between facilities. As a low cost add-on to the company's popular MediaWriter™ product line, PACSGEAR Image Exchange provides the user an option to either burn DICOM studies to CD/DVD media or upload studies to a variety of cloud-based repositories. The solution will be introduced at the upcoming SIIM Annual Meeting in Orlando, Florida.    

"Customers want the option to share medical images electronically. When we looked at our technology, we realized that our customers already had the critical components in place to enable image sharing. The challenge was to make it easy and affordable," said Eli Rapaich, PACSGEAR's CEO. "Giving our customers the choice to either burn CDs or securely upload images to their favorite cloud-based vendors improves interoperability and facilitates health information exchange," Rapaich said.

The PACSGEAR Image Exchange will be featured at PACSGEAR's Booth #513 at the Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM 2012) in Orlando, Florida from June 7 - 10, 2012.

Source:

PACSGEAR    

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
DELiVR's virtual reality training speeds up cell detection in complex brain datasets