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Mount Sinai to integrate Microsoft Dragon Copilot into clinical workflows

by Gus Iversen, Editor in Chief | November 10, 2025
Artificial Intelligence Business Affairs Health IT
Mount Sinai Health System is moving forward with plans to deploy Microsoft’s Dragon Copilot, an AI-powered clinical documentation tool, across its care settings, with full implementation expected in 2026.

The New York-based academic health system selected Dragon Copilot following a multivendor evaluation, aiming to reduce administrative workload for clinicians and improve care delivery by embedding ambient and generative AI directly into the electronic health record (EHR) workflow.

The platform combines speech recognition, ambient listening, and generative AI to assist physicians and care teams in documenting patient encounters during natural conversation. The system is designed to automate routine documentation and surface relevant clinical data, with the goal of easing documentation burden and allowing clinicians to spend more time with patients.
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“By embedding this AI assistant into the clinical workflow, we’re reducing documentation fatigue, improving information flow, and freeing up our care teams to focus on what matters most — caring for patients,” said Lisa Stump, executive vice president, chief digital information officer at Mount Sinai, and dean of information technology at the Icahn School of Medicine.

Mount Sinai is the first academic medical center to deploy Dragon Copilot systemwide. Initial implementation is underway in select departments, with broader rollout planned next year. Each phase will include training, evaluation, and feedback to ensure effective integration.

Mount Sinai CEO Dr. Brendan Carr said the goal is to “empower” clinical judgment rather than replace it, adding, “Dragon Copilot strengthens the partnership between our care team and technology, allowing us to deliver smarter, more connected, and more compassionate care.”

Kenneth Harper, general manager of the Dragon product at Microsoft Health and Life Sciences, said the collaboration reflects a shared commitment to using AI to reduce burnout and improve patient-provider interactions.

The rollout is part of Mount Sinai’s broader digital strategy to implement AI tools that support clinician well-being and operational performance, while maintaining a focus on secure, equitable technology adoption.

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