Summary: GE HealthCare and Amazon Web Services (AWS) announced a collaboration to develop AI applications for improving medical diagnostics and patient care. GE HealthCare will use AWS’s cloud and AI services to create models that streamline healthcare operations, enhance diagnostic accuracy, and promote equitable care. This initiative aims to reduce provider workload and accelerate innovation in the healthcare industry.
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) announced a strategic collaboration to develop purpose-built foundation models and generative artificial intelligence (AI) applications designed to help clinicians improve medical diagnostics and patient care.
Selection of AWS as Cloud Provider
GE HealthCare has selected AWS as its strategic cloud provider and plans to use its healthcare and generative AI services to build and implement versatile foundation models. These new generative AI-powered workflows are intended to speed up innovation to streamline healthcare operations, increase diagnostic and screening accuracy, enhance outcomes, lower access hurdles, and promote equitable care, thereby easing provider workload and accelerating industry 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,” said Peter Arduini, president and CEO, 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 intends to utilize Amazon Bedrock, a fully managed service that provides secure access to the industry’s leading foundation models, to create and deploy bespoke generative AI applications. Leveraging Bedrock’s enterprise-grade security and privacy along with a broad selection of industry-leading foundation models, GE HealthCare plans to build and scale its own proprietary generative AI applications for healthcare use cases with an aim to enhance efficiency, care delivery, and the patient experience.
“With AWS, GE HealthCare plans to use the cloud to deliver more personalized, intelligent, and efficient care,” said 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 internal developers are planning to use Amazon Q Developer, a generative AI–powered assistant to accelerate software development by generating real-time code suggestions, securely completing tasks, and more. The company also expects to use Amazon Q Business to explore the intersection of multi-modal clinical and operational data with an aim of reducing the cognitive burden on physicians, enabling personalized care, and increasing efficiency. Leveraging AWS’s generative AI technology, GE HealthCare expects to reduce clinical application development cycles from years to months and to accelerate the delivery of new healthcare solutions.
Modernizing Applications
Additionally, GE HealthCare plans to modernize its suite of applications with its own foundation models developed on Amazon SageMaker, a fully managed service to build, train, and deploy machine learning (ML) models. By developing its own foundation models specialized for medical use cases, GE HealthCare intends to accelerate the development and deployment of web-based medical imaging applications and integrate these foundation models to drive efficiency, interoperability, and improve user experiences across the company’s equipment and software solutions. Customers could use GE HealthCare’s generative AI-powered applications, which will integrate with AWS HealthLake and AWS HealthImaging, to quickly and securely analyze various types of patient data, leading to improved clinical efficiency and better patient care.