Cleveland Clinic and Galilee Medical Center Transform Patient Care with Healthcare Agents
Cleveland Clinic and Galilee Medical Center, as early adopters, implemented Microsoft's healthcare agent service within Copilot Studio to reduce staff burnout and enhance patient services. Key features include AI-powered appointment scheduling, triaging, clinical trial matching, and transforming complex radiology data into understandable patient reports. The deployment integrates Azure OpenAI Service and Clinical Safeguards APIs, ensuring compliance, data traceability, and responsible AI. Clinical provenance provides evidence mapping and anchoring to original medical records, mitigating risks of AI errors. Through these agents, clinicians have a reduced administrative workload, and patients gain easier access to medical information. The collaboration showcases responsible AI design for sensitive healthcare tasks and improved data validation. Both organizations serve as benchmarks for responsible, AI-enabled healthcare transformation.
- Organization
- Cleveland Clinic
- Industry
- Healthcare
- Location
- United States
- Published
- October 2024
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 4
- 1AI-Powered Appointment Scheduling
- 2Clinical Trial Matching Automation
- 3Radiology Report Simplification for Patients
- Clinician workload and burnout in healthcare organizations.
- Need for improved patient experience and easier access to medical information.
- Risks of generative AI outputs in clinical contexts (fabrications, omissions, semantic errors).
- Need for compliance and data traceability in patient records.
- Deployed healthcare agent service in Microsoft Copilot Studio using Azure OpenAI Service.
- Implemented clinical safeguards API for verification, provenance, and anchoring of AI-generated content.
- Agents automate appointment scheduling, patient triage, trial matching, and patient report simplification.
- Built robust, responsible AI with traceability for high-stakes medical applications.
- Reduced administrative burden for clinicians.
- Enhanced patient engagement and transparency.
- Improved traceability with clinical provenance safeguards.
- Established responsible, verifiable AI for healthcare.
Architecture
Agents built within Copilot Studio leverage Azure OpenAI Service and Clinical Safeguards API for monitoring, validation, and provenance. Patient data and queries are processed through the healthcare agent, which accesses validated plugins and prebuilt healthcare logic, and all generative outputs are checked against safeguards to ensure traceability, accuracy, and compliance.
Sources & evidence1
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2026.
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.