What challenges did Mount Sinai Health System face before AI implementation?

Clinician documentation fatigue caused by high administrative workload. Inefficient clinical workflows impacting patient care sessions. Difficulty surfacing critical information for clinicians in real time. Need to improve clinician well-being and reduce burnout. Organizational demand for digital transformation and operational excellence.

What was the impact of the AI solution?

Reduced clinician documentation fatigue and administrative burden. Freed clinicians to spend more time with patients, improving care quality. Enhanced information flow and care coordination between teams. Improved clinician well-being and job satisfaction. Achieved operational excellence benchmarks in healthcare delivery.

Source

MicrosoftProductionEvidence: Low40/100

Mount Sinai Health System Streamlines Clinical Workflows with AI Assistant

Use case typeClinical documentationUpdated Jun 13, 2026

Mount Sinai Health System is rolling out Dragon Copilot, Microsoft's advanced AI clinical assistant, across its hospitals and clinics. The platform integrates natural language, ambient listening, and generative AI on Microsoft Cloud for Healthcare to automate documentation, surface vital patient information, and reduce administrative workload. This system-wide phased deployment aims to address clinician burnout and inefficiencies in patient care documentation. The solution embeds directly into the clinical workflow, enabling voice-driven, ambient note-taking and simplifying complex administrative tasks. Initial deployment is in select departments, expanding to all clinical environments in 2026. The rollout includes comprehensive training, feedback, and evaluation measures to ensure secure and equitable AI integration. Mount Sinai's adoption is a key milestone in their digital transformation and serves as a model for responsible AI use in academic medicine.

Organization: Mount Sinai Health System
Industry: Healthcare
Location: United States
Published: November 2025

Planned next steps

The source says the organization aims to achieve: Reduced clinician burnout and fatigue.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Mount Sinai Health System
Provider: Microsoft
Maturity: Production
Linked source: mountsinai.org

Organizational demand for digital transformation and operational excellence

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Automated Clinical Documentation with AI Assistant
2Streamlined Information Retrieval for Patient Care
3Voice-Driven Ambient Documentation in Healthcare

Implemented Dragon Copilot, an AI clinical assistant, across care settings.
Integrated advanced natural language processing, ambient listening, and generative AI for automated EHR documentation.
Embedded AI assistant into clinical workflows for seamless, voice-driven documentation.
Deployed on Microsoft Cloud for Healthcare for secure, scalable operations.
Systematic training and phased rollout in clinical departments.

Technologies

Dragon Copilot Microsoft Cloud for Healthcare

Reduced clinician documentation fatigue and administrative burden.
Freed clinicians to spend more time with patients, improving care quality.
Enhanced information flow and care coordination between teams.
Improved clinician well-being and job satisfaction.
Achieved operational excellence benchmarks in healthcare delivery.

Architecture

Dragon Copilot uses Microsoft's secure healthcare cloud, integrating natural language, ambient listening, and generative AI directly into clinical workflows. These capabilities automate EHR documentation via voice and ambient recognition, surfacing required patient data and presenting recommendations within the workflow. The deployment follows a phased rollout, includes robust training, and secures AI integration in all care environments.

Sources & evidence1

Evidence: Low40/100Evidence strength