What was the impact of the AI solution?

Faster diagnosis and follow-up of critical findings. Reduced administrative load and physician burnout among clinical teams. Lower operational risks and improved quality of patient care. Scalable application potential across broader healthcare workflows to make them smarter and more human-centered.

Source

MicrosoftProductionEvidence: Low25/100

Microsoft Azure AI Foundry and UiPath automate healthcare workflows to improve patient care and operational efficiency

Use case typeHealthcare workflow automationUpdated Jun 13, 2026

Microsoft and UiPath collaborated to automate healthcare workflows using Azure AI Foundry agents integrated with the UiPath Maestro platform. The solution automates the detection of incidental findings in radiology reports, aggregates patient history, and generates actionable reports quickly for clinicians. This integration reduces administrative burdens on clinicians and operational risks, improving the speed and quality of patient care.

Industry: Healthcare
Location: United States
Published: November 2025

Reported outcomes

Strategic outcomes

New product / capabilityAutomated incidental finding detectionCustomer experience & trustImproved quality of patient careEmployee experienceReduced clinician administrative burdenSpeed & agilityFaster diagnosis and follow-up

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

Customer: Not established
Provider: Microsoft
Maturity: Production
Linked source: LinkedIn

This integration reduces administrative burdens on clinicians and operational risks, improving the speed and quality of patient care

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1Workflow Automation
2AI Integration

Manual and high-risk workflow in detecting incidental findings in radiology reports caused delays in patient care and increased operational burdens on clinicians.

An AI-driven system combining Azure AI Foundry agents with UiPath Maestro automates the detection of incidental findings, analyzes historical imaging and EMR data, and produces rapid, accurate reports for clinicians.
The workflows are fully automated, lessening manual effort and enhancing outcomes for healthcare teams.

Technologies

Azure AI Foundry UiPath

Faster diagnosis and follow-up of critical findings.
Reduced administrative load and physician burnout among clinical teams.
Lower operational risks and improved quality of patient care.
Scalable application potential across broader healthcare workflows to make them smarter and more human-centered.

Sources & evidence1

Evidence: Low25/100Evidence strength