Meetings
The AI Advisory Subcommittee met monthly to discuss ongoing projects, address emerging issues, and review progress toward objectives. Additional meetings were called by the chair as necessary.
Executive Summary
The UTHealth Houston AI Task Force has been established to define and drive the institution’s strategic roadmap for enterprise-wide AI integration—spanning education, research, clinical care, technology innovation, and operational excellence. Through alignment of institutional priorities and optimization of existing capabilities, the Task Force will deliver a focused, actionable strategy that positions UTHealth Houston for long-term leadership at the forefront of health AI innovation.
Background
We stand at the dawn of a transformative era—what historians will likely call the Cognitive Revolution—the third major economic inflection point in human history, following the Agricultural and Industrial Revolutions. Just as engines redefined the physical boundaries of labor, AI is now beginning to liberate society from large swaths of cognitive labor. The implications for healthcare, education, research, and operations are profound.
UTHealth Houston recognized this shift early. Over a decade ago, we made deliberate strategic investments in AI—well ahead of the curve. This early-mover advantage led to a substantial increase in AI research funding, the successful recruitment of top-tier AI talent, a multifold increase in student enrollment, and the redesign of our academic programs to prepare the next generation of AI leaders. Today, UTHealth Houston is home to the largest academic program in medical AI, data science, and informatics in the nation, and it remains the only institution in Texas that offers doctoral-level training in health AI.
AI is already reshaping scientific discovery by accelerating hypothesis generation, data analysis, and translational breakthroughs at unprecedented speed, and even led to the 2024 Nobel Prizes in Physics and Chemistry. It is also driving a fundamental rethink of educational models—shifting from content delivery to skills-based, adaptive, and lifelong learning frameworks. In patient care, AI enhances diagnosis, personalizes treatment, and improves outcomes. On the operational side, AI is unlocking new efficiencies in everything from scheduling to revenue cycle management. At the same time, AI is beginning to disrupt traditional roles, prompting an urgent need to reimagine workforce strategies and prepare for inevitable job displacement and redefinition.
Despite our early leadership and significant institutional assets, UTHealth Houston’s AI initiatives remain fragmented across departments and schools. Meanwhile, peer institutions are rapidly mobilizing, making strategic investments, and closing the gap. To maintain our competitive advantage and extend our leadership, we must move decisively. This requires the articulation of a clear institutional AI vision, alignment around strategic priorities, coordinated deployment of resources, and scalable capabilities across education, research, clinical care, and operations. The opportunity is clear. The imperative is urgent. The time is now.
Strategic Objectives
The UTHealth Houston AI Task Force is charged with defining a bold and actionable strategy to position the institution at the forefront of AI-driven transformation in healthcare and academic medicine. Its objectives include:
Articulating a compelling institutional vision for artificial intelligence.
Conducting a rigorous assessment of current AI capabilities, resources, and organizational gaps.
Defining strategic priorities to guide AI integration across mission-critical domains.
Recommending targeted, high-impact initiatives to accelerate institutional progress.
Establishing governance, ethical, and compliance frameworks to ensure responsible AI deployment.
Enabling cross-institutional collaboration among schools, clinical entities, and operational units to unlock system-wide value.
Learn more
For additional detail on the Task Force’s progress and near-term priorities, review the Town Hall slide deck. It provides an overview of updates across the Task Force’s focus areas and key deliverables.
The AI Advisory Subcommittee was established in 2024 under the auspices of the UTHealth Houston Information Technology Governance Council to provide guidance on the safe utilization of artificial intelligence (AI) technologies within UTHealth Houston, ensuring alignment with federal and state laws and regulations. The mandate was to advise and consult on the implementation of AI systems, emphasizing ethical considerations and legal compliance.
This charter defined the role and responsibilities of the AI Advisory Subcommittee in facilitating the safe, ethical, and lawful use of AI technologies across UTHealth Houston.
The AI Advisory Subcommittee’s scope encompassed:
The objectives of the AI Advisory Subcommittee were:
Members were appointed by the chair with consultations with the deans to represent various disciplines and departments relevant to AI technology, including but not limited to legal, compliance, information technology, research, and clinical operations. The chair’s appointments complemented the expertise of the existing Subcommittee members and included individuals with specialized knowledge or experience in AI applications.
The Subcommittee was chaired by the Chief Information Officer of UTHealth Houston and co-chaired by the Director of User Experience and Support for Innovation, Projects, and Research.
The AI Advisory Subcommittee met monthly to discuss ongoing projects, address emerging issues, and review progress toward objectives. Additional meetings were called by the chair as necessary.
The AI Advisory Subcommittee provided regular updates and reports to the IT Governance Council detailing activities, recommendations, and outcomes. Reports were submitted quarterly.
The charter was reviewed annually by the AI Advisory Subcommittee to ensure its continued relevance and effectiveness. Amendments were proposed by committee members to the chair.