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Healthcare Leadership, Policy & Digital Health News India > Blog > Industry Voice > Microsoft’s Dragon Copilot Rolls Out at Mount Sinai to Support Clinicians

Microsoft’s Dragon Copilot Rolls Out at Mount Sinai to Support Clinicians

Published: November 6, 2025
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Mount Sinai Health System has begun deploying Microsoft Dragon Copilot an AI-powered clinical assistant that uses ambient listening, generative AI and natural-language processing to streamline documentation and reduce administrative burdens for clinicians. The initiative kicks off with select departments and will expand systematically across the health network.

Glimpse:

Built on a healthcare-specific architecture, Dragon Copilot integrates with the electronic health record (EHR) to capture clinician–patient conversations, translate them into structured notes, surface critical information and automate routine tasks. Mount Sinai will deploy the system in phases beginning in 2025, with full rollout planned in 2026.

The Mount Sinai Health System has announced that it is implementing Microsoft Dragon Copilot, representing a major leap in its digital transformation strategy. The new AI assistant is purpose-built for clinical workflows, enabling ambient capture of clinician patient conversations, automated documentation generation, and seamless integration within the EHR.

According to Lisa Stump, Executive Vice President and Chief Digital Information Officer at Mount Sinai, the deployment follows a rigorous multi-vendor evaluation and “marks a transformative step forward in how we use technology to support our clinicians and elevate the care experience.”

Dragon Copilot’s technical capabilities span advanced voice-recognition, ambient listening in multilingual settings, and generative AI for summarising visits, drafting referral letters, and creating after-visit summaries. It also automates orders, extracts key clinical facts and surfaces evidence-based insights within the workflow.

The rollout will begin with selected departments within Mount Sinai, supported by structured training programmes, feedback loops and ongoing evaluation of equity, safety and integration. A system-wide phase is expected during 2026.

Beyond workflow efficiency, the move addresses clinician burnout and documentation fatigue persistent challenges in high-volume academic medical settings. By aiming to reduce time spent on admin tasks, Mount Sinai seeks to refocus clinician effort on patient care and meaningful clinical interactions.

“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.”

By

HB Team

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