Mercy Healthcare

Mercy Healthcare boosts clinical workflow automation for radiology with Azure AI Foundry and UiPath

Mercy Healthcare · AI development platform · Microsoft

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.

Multi-agentProduction

Nurses streamline clinical documentation and reduce burnout with AI-powered workflows

Baptist Health · Clinical documentation · Microsoft

Microsoft expanded Dragon Copilot with specialized ambient intelligence for nursing workflows, providing clinicians, particularly nurses, with AI-driven documentation, clinical insights, and workflow automation. Dragon Copilot now enables ambient listening to transform nurse-patient conversations into structured documentation and supports secure integration of partner-developed AI extensions. The extensible ecosystem helps providers access trusted clinical content (Elsevier, Wolters Kluwer UpToDate, OpenEvidence), automate revenue management, and surface actionable patient insights from partners like Canary Speech and Atropos Health. Ambient AI features were co-developed with frontline nurses at major US health systems such as Mercy and are in early use at Baptist Health, showing improved diagnostics and reduced disruption to workflows. Key innovations include fast flowsheet capture, embedded content, and hands-free automation for nurse tasks, aiming to decrease burnout and administrative load. Copilot Studio provides a foundation for building AI agents and integrating partner apps, ensuring that generative outputs are reliable and secure for healthcare contexts. Press Ganey and others layer voice insights and real-time engagement on top of core documentation workflows. Overall, the approach converts complex, dispersed administrative work into unified, AI-driven processes, freeing up time for patient care.

Agentic

Mercy Healthcare Utilizes Azure AI for Patient Appointment and Lab Insights

Mercy Healthcare · Microsoft

Mercy Healthcare has leveraged generative AI technologies powered by Microsoft Azure to automate appointment scheduling and provide deeper insights into lab results. This move has significantly improved patient experiences by streamlining administrative tasks, allowing healthcare professionals to focus primarily on delivering care. The use case highlights the transformative role of AI in healthcare in enabling more responsive and patient-centered services.

Mercy Healthcare transforms patient engagement and operational efficiency with generative AI

Mercy Healthcare · Patient engagement · Microsoft

Mercy Healthcare, a leading US health system, partnered with Microsoft for a multiyear journey to deploy generative AI solutions and enhance both patient and employee experiences. Leveraging Microsoft's Azure OpenAI Service and secure cloud platform, Mercy is rolling out over four dozen AI-powered use cases by mid-next year. These applications include generative AI-driven patient messaging for lab results, appointment scheduling, follow-up recommendations, and internal HR support chatbots. One project utilizes smart dashboards built on a centralized Azure data platform that give care teams real-time insights to optimize care and reduce unnecessary hospital stay durations. Internally, Mercy is deploying AI chatbots to improve staff access to policies and reduce administrative workload, thereby freeing up healthcare workers for patient-facing care. The collaboration represents a proactive approach to predictive, personalized care and innovation-driven healthcare delivery.

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Mercy Healthcare enhances patient care through Azure-powered AI transformation

Mercy Healthcare · Patient engagement · Microsoft

Mercy Healthcare, one of the largest health systems in the US, initiated a strategic digital transformation by partnering with Microsoft to modernize its IT infrastructure and leverage extensive patient data for better health outcomes. The initiative involved building an intelligent data platform on Microsoft Azure, connecting previously siloed data and automating manual tasks through Azure services. By using Azure Data Lake, Azure Machine Learning, Azure Synapse Analytics, and Azure AI Document Intelligence, Mercy enabled new capabilities such as predictive care, automated patient engagement (including appointment confirmations), and AI-powered document processing for insurance cards. Operationally, Mercy integrated machine learning algorithms to forecast health events, improve diagnostic accuracy for chronic conditions, and reduce unnecessary hospital stay durations by empowering care teams with data-driven insights and dashboards. Automation of manual and routine tasks increased staff productivity and improved the patient experience, while collaboration with Microsoft fostered innovation and future-readiness in healthcare. The project resulted in enhanced care personalization, cost savings, and a digital infrastructure set to enable further innovation in service delivery and clinical pathways.

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