Strategic Collaboration Accelerates Health Care Transformation with Generative AI
GE HealthCare has selected Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, as its strategic cloud provider to develop purpose-built foundation models and generative artificial intelligence (AI) applications designed to fast-track the development of innovative health care applications.
GE HealthCare plans to use its health care and generative AI services to build and implement new, versatile foundation models to transform the future of health care. These new generative AI-powered workflows are intended to fast-track the delivery of innovations to streamline health care 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.”
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, amplifying the advantages of generative AI for their customers. 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 health care-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 health care industry."
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 health care solutions.
"By combining generative AI with our deep expertise, we're igniting a new era in health care,” said. Dr. Taha Kass-Hout, Global Chief Science and Technology Officer at GE HealthCare. “Our work with AWS is a big step towards helping clinicians make medical care simpler, more efficient, and deeply personalized. It's about advancing the way we care for people everywhere, one innovative solution at a time.”
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 integrating 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, that 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.
"We are optimistic about the ways in which generative AI will be able to transform health care for the better, and we look forward to seeing the new tools and applications that result from collaborations across industry and health care," said Dr. Keith Dreyer, Chief Data Science Officer, Mass General Brigham and leader of the Mass General Brigham AI business. "As health care systems like Mass General Brigham lean into AI to accelerate their work, we see great potential for new foundation models that utilize advanced technologies."
The health care sector is responsible for about 30% of the world's data generation, however, 97% of this data goes largely untapped due to its unstructured nature. This collaboration will focus on the development of multi-modal foundation models designed to analyze a vast array of unstructured medical data (e.g., records, reports, and images) and provide precise, adaptable insights for a multitude of healthcare applications. Unlike traditional ML, these models can be built to interpret data across various diseases and tasks simultaneously.