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Find similar grantsUT Research, Engineering, and Application Laboratory for Healthcare Artificial Intelligence (UT-REAL-Health-AI) is sponsored by State of Texas (Texas Legislature and UT System Board of Regents). A $25 million initiative to advance AI across all UT health campuses, focusing on standardization, best practices, and development of new AI tools.
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UT Research Engineering and Application Lab (REAL) Health AI | The University of Texas System UT Research Engineering and Application Lab (REAL) Health AI In 2025, the University of Texas System received legislative approval and dedicated funding to launch UT REAL Health AI, a systemwide initiative to responsibly accelerate artificial intelligence in health.
By connecting expertise across UT institutions, UT REAL Health AI is building a coordinated ecosystem to improve patient care and safety, strengthen clinician efficiency, advance research, and prepare the workforce for an AI-enabled future. UT REAL Health AI was established through legislative support and state funding in 2025.
This investment reflects Texas’ commitment to advancing responsible AI adoption in healthcare, ensuring that innovation enhances care quality, efficiency, and safety across the UT System.
Executive Sponsor: Zain Kazmi, UT System Office of Health Affairs Chair: Dr. Peter McCaffrey, UT Medical Branch (UTMB) Executive Director: Dr. Nyma Shah, UT MD Anderson Cancer Center (UTMDACC) Zain Kazmi – UT System Office of Health Affairs Dr. Peter McCaffrey – UT Medical Branch Dr. Nyma Shah – UT MD Anderson Cancer Center Dr. Claudia Lucchinetti – UT Dell Medical School Dr. David Jaffray – UT MD Anderson Cancer Center Dr. Eric Peterson – UT Southwestern Medical Center Dr. Jiajie Zhang – UT Health Houston Cristina Blanton – UT System Dr. Edward Sankary – UT Health San Antonio To accelerate systemwide collaboration and execution, UT REAL Health AI established four key workgroups.
Strategic Priorities & Key Deliverables Secure Chat Deployment - Partnering with Qualified Health to enable secure, AI-driven clinical communications across all UT institutions. Three High-Value Use Cases - Co-designed with UT institutions to demonstrate systemwide benefit and scalability.
Systemwide AI Inventory - Comprehensive mapping of AI tools across the UT System to leverage expertise, negotiate vendor partnerships, and accelerate responsible adoption. Legislative approval, funding secured, and governance structure established. Steering Committee and workgroups formed.
Initial pilot projects selected. Secure Chat deployment in partnership with Qualified Health. Three priority use cases launched.
Systemwide AI inventory completed. Evaluation and scale-up of pilot projects across UT institutions. Workforce training framework deployed.
Legislative reporting and recommendations delivered. UT REAL Health AI directly supports the UT System’s mission to advance education, research, and clinical excellence: Education: Preparing the next-generation AI-enabled healthcare workforce. Research: Accelerating translational AI research and multi-institution collaboration.
Clinical Care: Improving patient outcomes, safety, and clinician efficiency. Systemwide Efficiency: Reducing duplication, ensuring responsible adoption, and maximizing return on investment. Strengthens UT’s position as a national leader in responsible AI in health.
Fosters collaboration and innovation across institutions. Enhances patient care and workforce readiness. Shared infrastructure and inventories enable cost efficiency and vendor leverage.
State funding catalyzes sustainable partnerships with industry, philanthropy, and federal agencies. UT REAL Health AI fulfills legislative intent by: Demonstrating responsible stewardship of AI in healthcare. Ensuring transparency and accountability in AI adoption.
Delivering measurable outcomes in care quality, workforce training, and efficiency. Positioning UT institutions as trusted partners in state and national AI policy leadership. For more information about UT REAL Health AI or to get involved, please contact: UT REAL Health AI Executive Director
According to the current listing, eligibility includes: UT health campuses and institutions within the University of Texas System. Confirm the full requirements in the official notice before applying.
UT Research, Engineering, and Application Laboratory for Healthcare Artificial Intelligence (UT-REAL-Health-AI) is funded by State of Texas (Texas Legislature and UT System Board of Regents). Verify program details on the funder's official page before applying.
This opportunity targets applicants in Texas. If your organization operates elsewhere, check the official notice for location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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