Mercy Healthcare boosts clinical workflow automation for radiology with Azure AI Foundry and UiPath
Mercy Healthcare partners with Microsoft and UiPath to operationalize AI in critical healthcare workflows, specifically targeting the challenge of managing incidental findings in radiology reports. The healthcare provider integrates Azure AI Foundry and UiPath automation to develop agents and orchestrators that review radiology and EMR data, extract important incidental findings, summarize patient context, and deliver actionable notifications to clinicians. This agentic solution automates previously time-consuming manual tasks, reducing physician workload while improving the speed and accuracy of follow-up care. Aggregated patient information is now seamlessly routed to physicians, enabling timely clinical decision support and helping to prevent more expensive downstream medical interventions. Built-in compliance with healthcare privacy and security standards is ensured, leveraging Azure's secure infrastructure. The orchestration is managed through UiPath Maestro, ensuring every step is reliably tracked, documented, and efficiently executed in the clinical workflow. This implementation demonstrates scalable automation of complex multi-agent tasks in real-world healthcare, directly improving care quality and operational efficiency.
- Organization
- Mercy Healthcare
- Industry
- Healthcare
- Location
- United States
- Published
- November 2025
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Mercy Healthcare
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- azure.microsoft.com
This implementation demonstrates scalable automation of complex multi-agent tasks in real-world healthcare, directly improving care quality and operational efficiency
Primary read
Use case focus
Showing 3 of 3
- 1Automated Incidental Findings Management in Radiology
- 2Agent-Based Clinical Decision Support
- 3AI-Powered Workflow Automation for Healthcare
- Implemented Azure AI Foundry and UiPath to automate analysis and summarization of radiology and EMR reports.
- Orchestrator UiPath Maestro aggregates multi-source data and automatically routes actionable follow-up items to ordering clinicians.
- Agents extract relevant patient history, prior images, and new findings with AI; information is operationalized in the workflow.
Architecture
Integrated AI-powered agents built on Azure AI Foundry analyze radiology and EMR data, extract and summarize incidental findings, feed data into UiPath agents, and are orchestrated by UiPath Maestro. The orchestrator manages the flow from data extraction to physician notification, automating complex cross-system processes securely within Azure.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
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