The Ohio State University and Microsoft announced a five-year partnership on November 10, 2026, to expand clinical AI, modernize cloud infrastructure and develop a connected smart-hospital model at Ohio State Wexner Medical Center.
The work spans patient care, research and education, combining tools already in use with systems still being designed. That makes the agreement both an expansion of current clinical deployments and a framework for broader changes to hospital operations and research computing.
AI Support for Clinical Work
AI-assisted note drafting is already in clinical use. Dragon Copilot’s ambient capabilities prepare documentation from patient visits, and clinicians review and finalize the resulting notes. The partners say their AI work is intended to reduce administrative burden and give clinicians more time with patients while preserving clinical judgment, human oversight and patient relationships.
Tumor-board support is at an earlier stage. Under the proposed workflow, AI would bring pathology, imaging, genomics and clinical history into a more coordinated view for multidisciplinary teams working across locations. The organizations are exploring that approach to support complex-case discussions and help patients move toward care plans more efficiently; it is not a completed deployment.
Smart Hospitals and Cloud Resilience
Two facilities already use the smart-hospital platform: the Richard M. Ross Heart Hospital and the James Outpatient Care facility. Azure and Internet of Things capabilities provide a common foundation connecting facility, operational and clinical-support systems. Early work concentrates on energy efficiency and resource use.
Ohio State plans to extend those capabilities to additional healthcare facilities and use the work to inform operations at its new University Hospital. The platform is intended to help teams understand operations, use resources responsibly and respond more quickly to changing needs.
On infrastructure, the partnership’s stated ambition is to move approximately 70% to 80% of Ohio State’s storage and computing capacity to Azure, including digital pathology and imaging workloads. The medical center is also moving its electronic health record to Azure as a backup for business continuity, helping care teams maintain access to critical systems.
Shared Data and AI Training
The data work is less far along: the high-level design is complete for a foundation using Microsoft Fabric and OneLake. It is designed to connect clinical, operational and research information across the medical center, colleges and regional campuses. Initial applications could forecast surgical demand, staffing requirements and operating-room use so capacity can better match patient needs.
Researchers would use a secure Azure environment for governed access to appropriate de-identified data, with privacy protections. By reducing fragmented and duplicative approaches, the foundation is intended to help authorized teams reach trusted insights more quickly and give researchers more time to pursue discoveries that could enable personalized treatments.
Training extends the partnership beyond technology deployment. The partners plan to expand AI learning, Microsoft Learn resources and certification opportunities for caregivers, researchers, faculty, staff and students. Ohio State is also becoming a Microsoft Training Services Provider, creating opportunities to broaden access to Microsoft training and certifications for students, employees and community members.
John J. Warner, the medical center’s CEO and an Ohio State executive vice president, said the collaboration combines academic medical expertise with Microsoft’s technology “to accelerate the pace of innovation across patient care, research and education.”
The partnership’s significance lies in the connection between those projects: clinical AI, hospital operations and research would draw on a common cloud and data foundation. Its central operational test is whether that integration can reduce administrative and technical fragmentation while preserving clinician review, research privacy and reliable access to critical systems.
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