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GE Healthcare Case Study

Jackson says, “Connectivity is the cornerstone of our digital strategy. We can create more value for customers by liberating data and applying machine learning to create smarter devices, new products, and entry into new markets. As AWS gets more recognition in this industry as a cloud provider, we can work with AWS to invite our shared customers onto the GE Health Cloud. Healthcare requires hybrid compute across devices, enterprise, and the cloud. The role of the cloud in healthcare will steadily increase across a variety of market segments, and many of our customers have already begun this transition.” These customers include both large and small hospitals, other healthcare organizations, and, increasingly, patients, all of which can benefit from the potential cost savings and operational improvements enabled by the GE Health Cloud.

GE Healthcare plans to expand its use of AWS services as it expands the GE Health Cloud. For instance, the company is taking advantage of Amazon SageMaker, a managed service for building, training, and deploying machine-learning models. “We are all-in on Amazon SageMaker for our deep-learning capabilities going forward,” says Andre Sublett, Health Cloud, Learning Factory, and Core Services engineer at GE Healthcare Digital.

GE Healthcare will also continue leaning on AWS to help support the organization’s digital transformation. “Our digital strategy is about improving connectivity, elasticity, and or use of applied analytics,” says Jackson. “We want to establish a framework at a global scale to achieve these goals, and we can do that by running our GE Health Cloud on AWS.”

By helping its customers connect devices, GE Healthcare may also better support its mission of helping healthcare delivery organizations improve operational productivity and patient outcomes. Sublett says, “We wanted to start by making it easier for healthcare providers to collaborate in their decision making by orchestrating the sharing of medical image data within their organizations and with other stakeholders.”

Jackson adds, “Securely connecting systems and devices to the cloud was the best way to enable outreach and ultimately new insights into data from the scalability, flexibility, and lower cost of ownership it provides. Advancing medical outcomes requires processing large amounts of healthcare data with governed access to that data for research as well as clinical application. We believe the role of the cloud is pivotal to actualizing this vision.”

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