News | Enterprise Imaging | September 04, 2018

LifeImage LITE Application Expands Image Sharing Network to 1,500 Connected Hospitals

Application allows hospital referral sites to get up and running quickly for easy medical image exchange

LifeImage LITE Application Expands Image Sharing Network to 1,500 Connected Hospitals

September 4, 2018 — LifeImage announced that its recently launched application, LITE, has helped to dramatically increase interoperability in healthcare with more than 100 new hospital connections in only two months. LITE, which stands for lifeIMAGE Transfer Exchange, gives the company’s hospital customers the ability to offer this tool to their referral and coordination sites. There is no charge to sending sites to download the application.

LITE was developed for healthcare entities to quickly deploy and build networks without the traditional information technology (IT) burdens of building and sustaining a clinical information-sharing network.

Historically, building and sustaining an information exchange network in healthcare has been challenging. It is burdensome for IT departments to implement and maintain, complex to integrate into workflows, expensive, and difficult to meet proprietary and onerous vendor requirements. Too often, patients have the onus of being the courier to transporting images on CDs. With lifeIMAGE’s standards-based interoperability suite, customers do not need to program around proprietary requirements. They are not forced to learn and use additional user interfaces, as the company’s solutions are digitally integrated into streamlined workflows or existing user-interfaces.

The lifeIMAGE network orchestrates the flow of all clinical information between clinical sites globally. The company has facilitated the exchange of 7 billion image files, with each file often containing hundreds of individual diagnostic images.

For more information: www.lifeimage.com

Related Content

With the growing adoption of #data #analytics in #healthcare, we are seeing more clearly that there are two sides of data
Feature | Artificial Intelligence | May 05, 2021 | By Sundararajan Mani
With the growing adoption of...
As key technological advancements become more pronounced, prolific developments are anticipated to be on the future horizon

Getty Images

Feature | Teleradiology | May 05, 2021 | By Abizer Shaikhmahmud
Teleradiology is grabbing significant eyeballs,
SmartXR uses a unique combination of hardware and AI-powered software to lighten radiographers’ workloads and provide image acquisition support.

SmartXR uses a unique combination of hardware and AI-powered software to lighten radiographers’ workloads and provide image acquisition support. 

Feature | Digital Radiography (DR) | May 04, 2021 | By Melinda Taschetta-Millane
The COVID-19 pandemic brought about an uptick in
The promise of personalized medicine, with its potential for treatments tailored to individual patients’ genomic footprints to generate better outcomes, has long tantalized the life sciences industry

Image courtesy of HealthMyne

Feature | Information Technology | May 04, 2021 | By Rose Higgins
The promise of...
A 63-year-old multiple #myeloma patient, with skeletal pain. New #FDG avid axillary #lymphadenopathy 62 days (9 weeks) after second #mRNA #vaccination dose. Image used with permission of the Radiological Society of North America (#RSNA)

A 63-year-old multiple myeloma patient, with skeletal pain. New FDG avid axillary lymphadenopathy 62 days (9 weeks) after second mRNA vaccination dose. Image used with permission of the Radiological Society of North America (RSNA)

Feature | Coronavirus (COVID-19) | April 29, 2021 | By Melinda Taschetta-Millane
Overview of the scaphoid fracture detection pipeline, which consisted of a segmentation and detection convolutional neural network (CNN). A class activation map is calculated and visualized as a heatmap for fracture localization. Image courtesy of Radiological Society of North America

Overview of the scaphoid fracture detection pipeline, which consisted of a segmentation and detection convolutional neural network (CNN). A class activation map is calculated and visualized as a heatmap for fracture localization. Image courtesy of the Radiological Society of North America

News | Artificial Intelligence | April 28, 2021
April 28, 2021 — An automated system that uses...