Summary: GE HealthCare and Amazon Web Services (AWS) are collaborating to develop AI applications for improving medical diagnostics and patient care. GE HealthCare will use AWS’s cloud and AI services to streamline operations, enhance diagnostic accuracy, and promote equitable care, aiming to reduce provider workload and accelerate innovation.
Key Takeaways:
- Strategic Collaboration: GE HealthCare partners with AWS to develop AI applications aimed at improving diagnostics and patient care using AWS’s cloud and AI services.
- Innovation and Efficiency: The collaboration seeks to streamline healthcare operations, enhance diagnostic accuracy, and promote equitable care, thereby reducing provider workload and accelerating industry innovation.
- Advanced AI Models: GE HealthCare will leverage AWS’s generative AI capabilities to create and deploy customized AI applications, modernize its software suite, and integrate AI models to improve clinical efficiency and patient outcomes.
GE HealthCare and Amazon Web Services (AWS) are collaborating to develop artificial intelligence (AI) models and applications to improve medical diagnostics and patient care.
Selection of AWS as Cloud Provider
GE HealthCare has chosen AWS as its cloud provider to develop and implement AI services and foundation models. These AI-powered workflows aim to streamline healthcare operations, improve diagnostic accuracy, enhance outcomes, reduce access barriers, and promote equitable care, thereby easing provider workload and accelerating innovation.
“GE HealthCare has been pioneering medical technology for more than a century. With more than one billion patients around the world touched by our products, we play an important part in improving the quality of care and have a responsibility to continue pushing the boundaries of what’s possible to enable precision care,” says Peter Arduini, president and CEO of GE HealthCare. “This new collaboration with AWS allows us to build on our legacy of innovation by embracing the power of AI to expedite the creation of medical technologies that we expect will redefine clinical workflows and the delivery of care.”
Utilization of AWS Services
GE HealthCare plans to use Amazon Bedrock to create and deploy custom generative AI applications. This will help GE HealthCare develop AI applications for healthcare to improve efficiency, care delivery, and the patient experience.
“With AWS, GE HealthCare plans to use the cloud to deliver more personalized, intelligent, and efficient care,” says Matt Garman, CEO of AWS. “GE HealthCare is putting generative AI at the heart of their innovation, accelerated by the investments we have made in healthcare-specific cloud services and generative AI capabilities that provide best-in-class security, data privacy, and access to the latest state-of-the-art foundation models. With AWS as their strategic cloud provider, GE HealthCare can build transformative clinical foundation models and applications for the healthcare industry.”
AI-Powered Development
GE HealthCare’s developers will use Amazon Q Developer to speed up software development with real-time code suggestions and task completion. The company will also use Amazon Q Business to analyze clinical and operational data, aiming to reduce the cognitive load on physicians, enable personalized care, and increase efficiency. By leveraging AWS’s generative AI technology, GE HealthCare aims to shorten clinical application development cycles and quickly deliver new healthcare solutions.
Modernizing Applications
GE HealthCare plans to modernize its applications using foundation models developed on Amazon SageMaker, a service for building, training, and deploying machine learning models. These models, specialized for medical use, aim to accelerate the development of web-based medical imaging applications and improve efficiency and interoperability across GE HealthCare’s equipment and software.
Customers will use GE HealthCare’s AI-powered applications, integrated with AWS HealthLake and AWS HealthImaging, to analyze patient data more efficiently, enhancing clinical operations and patient care.
