Duke Health

Healthcare Providers Streamline Operations and Patient Care with AI-Driven Automation

Duke Health · Clinical documentation · Microsoft

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.

Multi-agentProduction

Microsoft expands AI capabilities to shape a healthier future

Cleveland Clinic · Healthcare workflow automation · Microsoft

Microsoft announced new healthcare AI models in Azure AI Studio, healthcare data solutions in Microsoft Fabric, and a healthcare agent service in Copilot Studio to support healthcare organizations. The solutions are designed to connect care experiences, improve data integration, streamline workflows, and unlock clinical and operational insights. Early adopters such as Cleveland Clinic are using the healthcare agent service to enhance patient experiences and improve operational efficiency.

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TRAIN consortium ensures responsible AI for major US healthcare systems

Cleveland Clinic · Federated learning · Microsoft

A consortium of leading US healthcare providers, joined by Microsoft as the technology enabler, has established the Trustworthy & Responsible AI Network (TRAIN) to operationalize responsible and ethical use of artificial intelligence in healthcare delivery. Members include Cleveland Clinic, Duke Health, Johns Hopkins Medicine, Mass General Brigham, Mount Sinai Health System, Northwestern Medicine, and others. The network aims to enhance the quality, safety, and trustworthiness of AI by sharing best practices, registering clinical AI for operational use, providing tools to measure AI outcomes, and creating a federated outcomes registry. The collaboration targets improvement of clinical care quality, reduction of risks from AI deployment, and provision of practical tools to healthcare organizations nationwide for managing AI implementations and mitigating bias. Through this concerted effort, TRAIN promotes safe, reliable, and equitable use of AI, thus improving patient outcomes and establishing trust in the adoption of advanced technology in health settings.

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Duke Health Advances Patient Care with Responsible AI Partnership

Duke Health · Patient engagement · Microsoft

Duke Health and Microsoft launched a five-year strategic collaboration to advance responsible and ethical use of generative AI in healthcare. Central to this partnership is the development of the Duke Health AI Innovation Lab and Center of Excellence. Through the secure Microsoft Azure cloud and Azure OpenAI Service, the program aims to reimagine clinical care, automate administrative processes, and accelerate medical research and education. The initiative emphasizes AI safety, reliability, and equitable access, serving as a model for responsible AI governance in health. The partnership provides staff with specialized AI training and promotes broader health equity by operationalizing responsible AI and sharing best practices across the US healthcare sector.