Edison is GE Healthcare’s intelligence platform designed to help you achieve greater efficiency, improve patient outcomes and increase access to care. Embedded within existing workflows, Edison applications can integrate and assimilate data from disparate sources, and apply analytics or advanced algorithms to generate clinical, operational and financial insights. Edison solutions can be securely deployed via Cloud, Edison HealthLink, or directly onto smart devices.
“At the end of the day, we believe widespread AI adoption will be determined by its integration into existing workflows and accessibility to hospital systems,” concludes Karley Yoder. “All our Edison platforms – on-device, cloud and edge – are designed to deploy the latest AI solutions to healthcare professionals where they need them most.”
“Edison works to meet clinicians where they are and provide the intelligent solutions they need, when they need them,” explains Karley Yoder, Vice President, Artificial Intelligence, GE Healthcare. “It combines diverse data sets from across modalities, vendors, healthcare networks and life sciences settings to enable quick development of advanced intelligent applications and reduce barriers for developers to create intelligent solutions.”
These solutions can be deployed on medical devices, via the cloud or on the edge (computing technology that sits close to the physical device).
“The platform selected for the deployment of each application is a strategic one, since each offering provides unique benefits to radiologists and technologists,” continues Yoder. “That said, many of our product launches this year are on-device AI solutions, which offer unique opportunities to increase clinical and workflow efficiency at the point of care.”
GE Healthcare announced several unique on-device solutions across its portfolio, each offering a different benefit to customers:
- On-device AI can improve efficiency by automating steps in the workflow and expediting exams
- Automatic quality checks catch errors at point of care, enabling technologists to retake images and fix protocol labels before uploading the exam results to PACs
- Embedding AI into the image processing chain enables the use of raw data to help improve image quality and presentation consistency
Source: GE Healthcare
Youtube: youtu.be/jJvB4csZ-3w
25.11.2019
1: 45 min
https://www.gehealthcare.com/