{"id":47562,"date":"2025-11-05T10:00:00","date_gmt":"2025-11-05T18:00:00","guid":{"rendered":"https:\/\/azure.microsoft.com\/en-us\/blog\/?p=47562"},"modified":"2025-11-18T13:13:14","modified_gmt":"2025-11-18T21:13:14","slug":"driving-roi-with-azure-ai-foundry-and-uipath-intelligent-agents-in-real-world-healthcare-workflows","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/driving-roi-with-azure-ai-foundry-and-uipath-intelligent-agents-in-real-world-healthcare-workflows\/","title":{"rendered":"Driving ROI with Azure AI Foundry and UiPath: Intelligent agents in real-world healthcare workflows"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Across industries, organizations are moving from experimentation with AI to operationalizing it within business-critical workflows. At Microsoft, we are partnering with UiPath\u2014a preferred enterprise agentic automation platform on Azure\u2014to empower customers with integrated solutions that combine automation and AI at scale.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One example is Azure AI Foundry agents and UiPath agents (built on <a href=\"https:\/\/azure.microsoft.com\/products\/ai-foundry\" target=\"_blank\" rel=\"noreferrer noopener\">Azure AI Foundry<\/a>) orchestrated by UiPath Maestro\u2122 in business processes, ensuring AI insights seamlessly flow into automated business processes that deliver measurable value.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-75\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/azure.microsoft.com\/products\/ai-foundry\" target=\"_blank\" rel=\"noreferrer noopener\">Get started with agents built on Azure AI Foundry<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"from-insight-to-action-managing-incidental-findings-in-healthcare\">From insight to action: Managing incidental findings in healthcare<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In healthcare, where every insight can influence a life, the ability of AI to connect information and trigger timely action is especially transformative. <strong>Incidental findings in radiology reports<\/strong>\u2014unexpected abnormalities uncovered during imaging studies like CT or MRI scans\u2014represent one of the most challenging and overlooked gaps in patient care<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As the volume of patient data grows, overlooked incidental findings outside the original imaging scope can delay care, raise costs, and increase liability risks.<\/p>\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69e4a1df9c366&quot;}\" data-wp-interactive=\"core\/image\" class=\"wp-block-image size-full wp-lightbox-container\"><img decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-on-async--load=\"callbacks.setButtonStyles\" data-wp-on-async-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/11\/Incidental_Process_Screenshot-1.webp\" alt=\"Incidental Findings Analysis steps: imaging results, identify findings, review, and follow-up.\" class=\"wp-image-47716 webp-format\" data-orig-src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/11\/Incidental_Process_Screenshot-1.webp\"><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on-async--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">This is where AI steps in. In this workflow, <a href=\"https:\/\/learn.microsoft.com\/en-us\/agent-framework\/user-guide\/agents\/agent-types\/azure-ai-foundry-agent?pivots=programming-language-csharp\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Azure AI Foundry agents<\/strong><\/a> and <strong>UiPath agents<\/strong>\u2014orchestrated by <strong>UiPath Maestro\u2122<\/strong>\u2014work together to operationalize this process in healthcare:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Radiology reports<\/strong> are generated and finalized in existing systems.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>UiPath medical record summarization (MRS)<\/strong> agents review reports, flagging incidental findings.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>Azure AI Foundry imaging agents<\/strong> analyze historical PACS images and radiology data, comparing past results with current findings relevant to the additional findings.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">UiPath agents aggregate all results\u2014including pertinent EMR history, prior imaging, and AI-generated imaging insights\u2014into a <strong>comprehensive follow-up report.<\/strong><\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>The aggregated information<\/strong> is forwarded to the original ordering care provider in addition to the primary radiology report, eliminating the need to manually comb through the chart and prior exams for pertinent information. This creates both a secondary notification of the incidental finding and puts <strong>the summarized, relevant patient information<\/strong> in the clinicians\u2019 hands, efficiently supporting the provision of safe, timely care.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>UiPath Maestro\u2122<\/strong> orchestrates the business process, routing the consolidated packet to the ordering physician or specialist for next steps.<\/li>\n<\/ol>\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69e4a1df9d36f&quot;}\" data-wp-interactive=\"core\/image\" class=\"wp-block-image size-full wp-lightbox-container\"><img decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-on-async--load=\"callbacks.setButtonStyles\" data-wp-on-async-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/11\/MaestroScreenshot-2-scaled.webp\" alt=\"Workflow in UiPath Studio: gather EMR data, extract findings, summarize, analyze images, display output.\" class=\"wp-image-47718 webp-format\" data-orig-src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/11\/MaestroScreenshot-2-scaled.webp\"><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on-async--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The combination of UiPath and Azure AI Foundry agents turns siloed data into precise documentation that can be used to <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/health-data-services\" target=\"_blank\" rel=\"noreferrer noopener\">create actionable care pathways<\/a>\u2014accelerating clinical decision making, reducing physician workload, and improving patient outcomes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This scenario is enabled by:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>UiPath Maestro<\/strong>\u2122: Orchestrates complex workflows that span multiple agents, systems, and data sources; and integrates natively with Azure AI Foundry and UiPath Agents, providing tracing capabilities that create business trust in underlying AI agents.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>UiPath <\/strong><strong>a<\/strong><strong>gents<\/strong>: Extract and summarize structured and unstructured data from EMRs, reports, and historical records.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>Azure AI Foundry agents<\/strong>: Analyze medical images and generate AI-powered diagnostic insights with healthcare-specific models<strong> <\/strong>on Azure AI Foundry that provide secure data access through DICOMweb APIs and FHIR standards, ensuring compliance and scalability.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Together, this creates an <strong><a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/introducing-microsoft-agent-framework\/\" target=\"_blank\" rel=\"noreferrer noopener\">agentic ecosystem on Azure<\/a><\/strong> where AI insights are not isolated but operationalized directly within end-to-end business processes.<\/p>\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69e4a1df9e470&quot;}\" data-wp-interactive=\"core\/image\" class=\"wp-block-image size-full wp-lightbox-container\"><img decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-on-async--load=\"callbacks.setButtonStyles\" data-wp-on-async-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/11\/CXR_ReportGen_Screenshot-1.webp\" alt=\"Azure AI Foundry CxrReportGen model page showing overview, use this model button, and deployment details.\" class=\"wp-image-47719 webp-format\" data-orig-src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/11\/CXR_ReportGen_Screenshot-1.webp\"><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on-async--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"delivering-customer-value\">Delivering customer value<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">By embedding AI into automated workflows, customers see tangible ROI:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Improved outcomes<\/strong>: Faster detection and follow-up on incidental findings.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>Efficiency gains<\/strong>: Automated data collection, summarization, and reporting reduce manual physician workload.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>Cost savings<\/strong>: Early detection helps prevent expensive downstream interventions.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>Trust and compliance<\/strong>: Built on Azure &amp; UiPath\u2019s security, privacy, and healthcare data standards.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This is the promise of combining <strong>enterprise-grade automation<\/strong> with <strong>enterprise-ready AI<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-customers-are-saying-about-ai-automation-in-healthcare\">What customers are saying about AI automation in healthcare<\/h2>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-large-font-size wp-block-paragraph\">AI-powered automation is redefining how healthcare operates. At Mercy, we are beginning to partner with Microsoft and UiPath which will allow us to move beyond data silos and create intelligent workflows that truly serve patients. This is the future of care\u2014where insights instantly translate into action.<\/p>\n<cite><strong>Robin Spraul, Automation Manager-Automation Opt &amp; Process Engineering, Mercy<\/strong><\/cite><\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"partnership-perspectives\">Partnership perspectives<\/h2>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-large-font-size wp-block-paragraph\">With UiPath Maestro and Azure AI Foundry working together, we\u2019re helping enterprises operationalize AI across workflows that matter most. This is how we turn intelligence into impact.<\/p>\n<cite><strong>Asha Sharma, Corporate Vice President, Azure AI Platform<\/strong><\/cite><\/blockquote>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-large-font-size wp-block-paragraph\">Healthcare is just the beginning. UiPath and Microsoft are empowering organizations everywhere to unlock ROI by bringing automation and AI together in real-world business processes.<\/p>\n<cite><strong>Graham Sheldon, Chief Product Officer, UiPath<\/strong><\/cite><\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"looking-ahead\">Looking ahead<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This healthcare scenario is one of many where UiPath and <a href=\"https:\/\/azure.microsoft.com\/products\/ai-foundry\">Azure AI Foundry<\/a> are transforming operations. From finance to supply chain to customer service, organizations can now confidently scale AI-powered automation with UiPath Maestro\u2122 on Azure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At Microsoft, we believe AI is only as valuable as the outcomes it delivers. Together with UiPath, we are enabling enterprises to achieve those outcomes today.<\/p>\n\n\n\n<figure class=\"wp-block-msx-ump-embed wp-block-msx-ump-embed\" class=\"wp-block-msxcm-ump-embed\">\n\t<div class=\"wp-block-embed__wrapper\">\n\t\t<universal-media-player id=\"ump-69e4a1df9ea84\"><\/universal-media-player>\n\t\t<script type=\"module\">\n\t\t\tconst currentTheme =\n\t\t\t\tlocalStorage.getItem('msxcmCurrentTheme') ||\n\t\t\t\t(window.matchMedia('(prefers-color-scheme: dark)').matches ? 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optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Driving ROI in Healthcare with Azure AI Foundry and UiPath | Microsoft Azure Blog<\/title>\n<meta name=\"description\" content=\"Azure AI Foundry and UiPath automate healthcare\u2014streamlining radiology, managing findings, and improving outcomes for better ROI.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/driving-roi-with-azure-ai-foundry-and-uipath-intelligent-agents-in-real-world-healthcare-workflows\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Driving ROI in Healthcare with Azure AI Foundry and UiPath | Microsoft Azure Blog\" \/>\n<meta property=\"og:description\" content=\"Azure AI Foundry and UiPath automate healthcare\u2014streamlining radiology, managing findings, and improving outcomes for better ROI.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/azure.microsoft.com\/en-us\/blog\/driving-roi-with-azure-ai-foundry-and-uipath-intelligent-agents-in-real-world-healthcare-workflows\/\" \/>\n<meta property=\"og:site_name\" content=\"Microsoft Azure Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/microsoftazure\" \/>\n<meta property=\"article:published_time\" content=\"2025-11-05T18:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-18T21:13:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/11\/Yoast-SEO-Social-Image-4_Header.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" 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