Automate healthcare workflows with Azure AI Foundry and UiPath to enhance effectivity, scale back prices, and ship actual ROI throughout affected person care.
Throughout industries, organizations are transferring from experimentation with AI to operationalizing it inside business-critical workflows. At Microsoft, we’re partnering with UiPath—a most popular enterprise agentic automation platform on Azure—to empower clients with built-in options that mix automation and AI at scale.
One instance is Azure AI Foundry brokers and UiPath brokers (constructed on Azure AI Foundry) orchestrated by UiPath Maestro™ in enterprise processes, making certain AI insights seamlessly stream into automated enterprise processes that ship measurable worth.
From perception to motion: Managing incidental findings in healthcare
In healthcare, the place each perception can affect a life, the flexibility of AI to attach data and set off well timed motion is very transformative. Incidental findings in radiology studies—sudden abnormalities uncovered throughout imaging research like CT or MRI scans—characterize probably the most difficult and missed gaps in affected person care
As the quantity of affected person information grows, missed incidental findings exterior the unique imaging scope can delay care, elevate prices, and enhance legal responsibility dangers.
That is the place AI steps in. On this workflow, Azure AI Foundry brokers and UiPath brokers—orchestrated by UiPath Maestro™—work collectively to operationalize this course of in healthcare:
- Radiology studies are generated and finalized in present methods.
- UiPath medical file summarization (MRS) brokers assessment studies, flagging incidental findings.
- Azure AI Foundry imaging brokers analyze historic PACS pictures and radiology information, evaluating previous outcomes with present findings related to the extra findings.
- UiPath brokers combination all outcomes—together with pertinent EMR historical past, prior imaging, and AI-generated imaging insights—right into a complete follow-up report.
- The aggregated data is forwarded to the unique ordering care supplier along with the first radiology report, eliminating the necessity to manually comb by the chart and prior exams for pertinent data. This creates each a secondary notification of the incidental discovering and places the summarized, related affected person data within the clinicians’ fingers, effectively supporting the availability of secure, well timed care.
- UiPath Maestro™ orchestrates the enterprise course of, routing the consolidated packet to the ordering doctor or specialist for subsequent steps.
The mixture of UiPath and Azure AI Foundry brokers turns siloed information into exact documentation that can be utilized to create actionable care pathways—accelerating medical resolution making, decreasing doctor workload, and bettering affected person outcomes.
This situation is enabled by:
- UiPath Maestro™: Orchestrates complicated workflows that span a number of brokers, methods, and information sources; and integrates natively with Azure AI Foundry and UiPath Brokers, offering tracing capabilities that create enterprise belief in underlying AI brokers.
- UiPath agents: Extract and summarize structured and unstructured information from EMRs, studies, and historic information.
- Azure AI Foundry brokers: Analyze medical pictures and generate AI-powered diagnostic insights with healthcare-specific fashions on Azure AI Foundry that present safe information entry by DICOMweb APIs and FHIR requirements, making certain compliance and scalability.
Collectively, this creates an agentic ecosystem on Azure the place AI insights are usually not remoted however operationalized instantly inside end-to-end enterprise processes.
Delivering buyer worth
By embedding AI into automated workflows, clients see tangible ROI:
- Improved outcomes: Sooner detection and follow-up on incidental findings.
- Effectivity positive aspects: Automated information assortment, summarization, and reporting scale back handbook doctor workload.
- Price financial savings: Early detection helps stop costly downstream interventions.
- Belief and compliance: Constructed on Azure & UiPath’s safety, privateness, and healthcare information requirements.
That is the promise of mixing enterprise-grade automation with enterprise-ready AI.
What clients are saying about AI automation in healthcare
AI-powered automation is redefining how healthcare operates. At Mercy, we’re starting to accomplice with Microsoft and UiPath which can enable us to maneuver past information silos and create clever workflows that really serve sufferers. That is the way forward for care—the place insights immediately translate into motion.
Robin Spraul, Automation Supervisor-Automation Choose & Course of Engineering, Mercy
Partnership views
With UiPath Maestro and Azure AI Foundry working collectively, we’re serving to enterprises operationalize AI throughout workflows that matter most. That is how we flip intelligence into influence.
Asha Sharma, Company Vice President, Azure AI Platform
Healthcare is only the start. UiPath and Microsoft are empowering organizations all over the place to unlock ROI by bringing automation and AI collectively in real-world enterprise processes.
Graham Sheldon, Chief Product Officer, UiPath
Wanting forward
This healthcare situation is certainly one of many the place UiPath and Azure AI Foundry are remodeling operations. From finance to provide chain to customer support, organizations can now confidently scale AI-powered automation with UiPath Maestro™ on Azure.
At Microsoft, we consider AI is barely as invaluable because the outcomes it delivers. Along with UiPath, we’re enabling enterprises to attain these outcomes right this moment.
