Yale New Haven Health System Expands Rad AI Deployment Across Imaging Network

Yale New Haven Health System (YNHHS) is expanding the deployment of artificial intelligence-based radiology solutions from Rad AI across its imaging network as healthcare organizations evaluate radiology reporting technology following Microsoft’s decision to discontinue support for PowerScribe 360.

The Connecticut-based health system is rolling out Rad AI’s technology across more than 16 outpatient imaging centers and five hospital campuses. YNHHS operates five hospitals, including its flagship academic medical center, along with specialty networks and Northeast Medical Group. The organization is affiliated with Yale University and Yale Medicine, the clinical practice of the Yale School of Medicine and the largest academic multi-specialty practice in New England.

Earlier this year, Microsoft announced it would sunset PowerScribe 360, a reporting platform originally developed by Nuance that at its peak held an estimated 75% to 80% of the U.S. radiology reporting and speech recognition market. Microsoft said maintenance and support for the software will end on Aug. 31, 2026, with full support ending in 2027. Users will need to transition to PowerScribe One, a cloud-based reporting platform available through a subscription model.

Melissa Davis, M.D., vice chair for imaging informatics, radiology and biomedical imaging and associate professor of radiology and biomedical imaging at YNHHS, said the move to PowerScribe One represents a shift because it is a different product, creating an opportunity for health systems to consider whether to adopt it or explore other options.

According to health system executives, YNHHS chose to seek a new radiology reporting partner and looked for a more open and flexible platform capable of integrating across its existing clinical and diagnostic systems. Davis said the organization began working with Rad AI several years ago with the intention of developing a relationship with a partner that could grow alongside the changing technology landscape in radiology.

Rad AI, founded in 2018 by radiologist Jeff Chang, M.D., and entrepreneur Doktor Gurson, develops artificial intelligence tools designed to support radiology workflows. Its products include Impressions, which automatically generates report impressions from dictated findings; Reporting, which uses machine learning and generative AI to create reports; and Continuity, which is designed to manage follow-up recommendations for significant incidental findings identified in radiology reports.

The company reported increased interest from healthcare organizations after Microsoft announced the retirement of PowerScribe 360. Rad AI said inbound inquiries from health systems increased fourfold, while new sales deals rose 72% year over year. According to the company, inbound forms from health systems specifically seeking alternatives to the Microsoft ecosystem increased by 233%.

YNHHS executives said Rad AI’s technology can integrate with existing systems while helping reduce documentation burden, automate repetitive tasks and improve workflow efficiency. The implementation is being conducted in phases, and the health system reported a 12% increase in efficiency during one week of deployment.

YNHHS and Rad AI also plan to co-develop specialized artificial intelligence tools that combine Rad AI’s automation capabilities with Yale’s clinical research expertise.

“As an academic medical center, our priority is always to advance the quality of patient care. In evaluating the future of our radiology infrastructure, we realized that standard software vendors couldn’t keep pace with our evolving needs; we required a true co-development partner, capable of building alongside us,” said Christopher Whitlow, M.D., Ph.D., Radiologist-in-Chief at YNHHS and chair of the Department of Radiology and Biomedical Imaging at Yale School of Medicine.

Davis also said YNHHS is interested in exploring operational workflow improvements that could help radiologists manage increasing imaging volumes while maintaining capacity for resident training and reducing burnout.

As healthcare organizations increasingly embrace AI-powered technologies, Yale New Haven continues to invest in innovative solutions that support clinical excellence while enhancing operational performance.

Yale New Haven Strengthens AI-Powered Imaging Capabilities

The expanded deployment enables more radiologists within the Yale New Haven network to leverage Rad AI’s advanced reporting and workflow automation tools. These solutions are designed to assist clinicians in generating reports more efficiently while maintaining high standards of diagnostic accuracy.

By integrating AI directly into radiology workflows, Yale New Haven seeks to reduce repetitive administrative tasks and allow specialists to focus more on patient-centered care.

The decision by Yale New Haven to expand Rad AI across its imaging network highlights a broader industry trend toward AI-enabled healthcare delivery. As radiology departments face growing workloads and workforce challenges, intelligent automation is becoming an increasingly valuable tool for improving productivity and supporting clinicians.