Cleveland Clinic and Galilee Medical Center streamline care with smart AI assistants
Healthcare organizations such as Cleveland Clinic and Galilee Medical Center have adopted Microsoft-powered AI agents to automate clinical workflows, improve patient interactions, and enhance operational efficiency. Azure Health Bot automates symptom assessment and triaging, increasing workflow speed. DAX Copilot reduces documentation time through real-time note drafting. Seamless integration with Electronic Health Records personalizes patient engagement, while predictive analytics enable proactive care based on real-time and historical trends. Multilingual support reduces barriers for diverse populations. The Provider Selector, built in collaboration with Embold Health, uses AI to guide patients to suitable specialists, accessible across multiple communication channels including Microsoft Teams. All solutions maintain HIPAA and GDPR compliance, with features such as provenance tracking enhancing trust. Cleveland Clinic has improved access to critical patient information, while Galilee Medical Center delivers clearer radiology reports. These implementations demonstrate scalable, secure, and inclusive healthcare transformation.
- Organization
- Cleveland Clinic
- Industry
- Healthcare
- Location
- United States
- Published
- January 2025
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 4
- 1patient triage agent
- 2voice documentation agent
- 3provider selection assistant
- Rising operational costs in healthcare
- Clinician burnout due to heavy documentation workload
- Inefficient workflows and bottlenecks in patient assessment
- Difficulty in navigating the healthcare system for patients
- Language barriers for non-English speaking populations
- Strict regulatory compliance requirements (HIPAA, GDPR)
- Deployed Azure Health Bot for automated triage and patient symptom assessment
- Implemented DAX Copilot for real-time drafting of medical notes during consultations
- Integrated AI assistants with Electronic Health Records (EHR) for contextual engagement
- Used predictive analytics to identify health trends and inform resource allocation
- Launched Provider Selector to match patients with suitable healthcare providers via Teams, web, and SMS channels
- Delivered multilingual patient support and secure, compliant AI interactions
- Reduced clinician time spent on documentation
- Improved patient satisfaction due to faster, more personalized care
- Increased operational efficiency and scalability during peak demand
- Broadened access to healthcare across language groups
- Enhanced clarity and accessibility of radiology reports
- Improved navigation for patients seeking the right healthcare providers
Implementation partners1
Sources & evidence2
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2026.
- Cited source last checked Jun 12, 2026 — ok (0/2 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.