HomeBack to Products Healthcare IT Information is critical to patient care in a virtualized world. We build smart, easy-to-use technology to help you make more informed decisions by activating data with artificial and business intelligence to drive efficiency and help manage costs. (866) 281-7545 CONTACT US Radiology Without Walls Be the first to learn about our modern diagnostic reading and workflow solution that allows small to mid-size radiology groups to help achieve enhanced levels of productivity and diagnostic accuracy without the risk of a large capital investment. LEARN MORE Healthcare Digital Specialties Advanced Visualization Cardiology IT Enterprise Imaging Performance Intelligence & Analytics Radiology IT Elevating Patient Care On average, clinicians spend 50% more time on administrative tasks than patient care. But what if we could change that? Learn how we are helping to deliver increased efficiency and improved outcomes through digital and AI technology. Read Less Artificial Intelligence Work smarter, not harder. Integrated, AI-powered technologies help you make sound diagnostic decisions, operate at peak efficiency and deliver positive patient outcomes. Browse our Edison™ Marketplace for AI applications EXPLORE NOW Healthcare IT News Ushering in a New Era in Healthcare: Intelligently Efficient READ MORE KLAS Report: GE Healthcare Cardio IT Solution Currently Has Highest Overall Score of Measured Solutions READ MORE Preparing for the Radiology New Normal: What Radiologists Need to Know READ MORE Accelerating Innovation and Adoption of Applications READ MORE VIEW MORE REFERENCES Centricity Cardio Enterprise is a solution comprised of Centricity Universal Viewer and Centricity Cardio Workflow. SHARE United States © 2021 General Electric Company Contact Us Privacy Policy Terms and Conditions Security Feedback We use cookies to personalize and enhance your experience on our site. Visit our Privacy Policy to learn more or manage your personal preferences in our Cookie Consent Tool. DECLINE ACCEPT OPTIONS