Epic Systems powers 6 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 4 countries. Documented deployments include AI agents, copilots.
6
Use Cases
2
Industries
4
Countries
2
Agent Cases
Hyperscaler mix
Filter Epic Systems's implementations by cloud provider evidence.
How Epic Systems builds AIBuild, Buy & Compose — what they mean
Ottawa Hospital has implemented Microsoft's DAX Copilot, an AI-powered tool designed to draft clinical notes during patient appointments, decreasing administrative burdens and improving focus on patient care. Other healthcare systems, such as Cleveland Clinic, are providing input on Microsoft's expanded suite of healthcare AI tools. Microsoft is partnering with Epic Systems and Paige.AI, along with additional major healthcare organizations, to integrate AI-powered solutions with electronic health records and clinical workflows. AI-driven improvements include automated appointment scheduling, enhanced nursing documentation, and responsible AI frameworks for oversight and safety. Early impact reports point to significant time savings for clinicians and increased patient access to care. These partnerships also support responsible AI practices and regulatory compliance across Europe and North America. Overall, the collaborations are enhancing diagnostic accuracy and supporting sustainable healthcare innovation across leading global health systems.
Microsoft has expanded its Cloud for Healthcare capabilities with a suite of AI-powered enhancements aimed at helping healthcare organizations overcome rising costs and workforce shortages. The update introduces foundational healthcare AI models in Azure AI Studio for processing clinical, imaging, and genomic data. Collaborations with organizations like Providence and Paige.ai focus on advancing multimodal pathology and medical imaging AI. Microsoft Fabric now supports conversational data integration, SDOH dataset transformation, claims data harmonization, and new care management analytics.The public preview of a generative AI-powered healthcare agent service in Copilot Studio allows providers to build agents for triage, appointment scheduling, and clinical trial matching. Additionally, Microsoft and Epic are co-developing an AI-driven, ambient documentation tool that automatically populates nursing assessment flowsheets.Early adopters and collaborators include Duke Health, Cleveland Clinic, Providence, Baptist Health, Northwestern Medicine, Stanford Health Care, Tampa General Hospital, Intermountain Health, Mercy Healthcare, Advocate Health, and Epic Systems. The aim is to automate administrative tasks, integrate previously siloed data streams, and reduce clinical documentation burdens.AI-driven solutions also address burnout among clinicians by freeing up time for direct patient care. Testimonials from provider executives highlight improved data-driven care coordination and enhanced effectiveness in precision medicine and risk stratification.The announcement underscores Microsoft's ongoing investment in healthcare digital transformation and its strategic collaborations with both healthcare providers and technology partners.
Microsoft has launched a suite of healthcare AI tools to streamline clinical documentation, imaging, and care coordination for health systems. Partners like Stanford Health Care, Northwestern Medicine, Providence Health & Services, and Tampa General Hospital are piloting these capabilities.Key components include generative AI-powered documentation support (DAX Copilot) now expanding to nurses, multimodal medical imaging models launched via Azure AI Studio, and agent services accessible through Copilot Studio and Epic EHR.DAX Copilot enables clinicians to record patient encounters, allowing AI to generate notes and integrate them into EHR workflows, cutting administrative burden. Imaging solutions allow analysis beyond text, supporting pathology/cancer diagnosis at scale. Healthcare agent services automate tasks such as clinical trial identification or answering patient questions, with built-in clinical evidence references for safety.The implementation builds on previous Nuance, Epic, and Microsoft partnerships, and enables health systems to fine-tune models for their needs. These tools collectively reduce clinician workload and enhance efficiency, aiming to curb burnout and enhance patient care.Initial pilots report positive nurse feedback and expectations of industry-wide reductions in paperwork. Many capabilities are still in early adoption or preview but are positioned to transform workflows for clinicians, nurses, and health organizations.
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