Abridge Expands Clinical AI Platform Across the University of Texas System

Abridge is expanding its clinical artificial intelligence platform across the University of Texas (UT) System through an enterprise-wide agreement with UT REAL Health AI. The partnership builds on a pilot launched in 2025 and establishes a framework for all eight UT health institutions to access the platform while maintaining local decision-making and supporting responsible AI implementation.

UT-owned and affiliated hospitals and clinics provided nearly 11.7 million outpatient visits and more than 2 million hospital days over the past year. The eight institutions covered by the agreement are UT Southwestern Medical Center, UT Medical Branch, UT MD Anderson Cancer Center, UT Dell Medical School, UT Health Tyler, UTHealth Houston, UT Health San Antonio and UT Health Rio Grande Valley.

Pilot Shows Growth in Clinical Adoption

Abridge launched its pilot with UT’s health systems in 2025. The initiative has included clinicians at five locations across outpatient, inpatient and emergency department settings, covering more than 50 specialties.

Over the past 12 months, the pilot grew by 73% in the number of recording clinicians and 80% in monthly notes. These figures were reported as the organizations move toward a systemwide framework for access to the platform.

UT REAL Health AI, which stands for Research, Engineering, Application, Lab, was established in 2025 to advance responsible artificial intelligence adoption in healthcare.

Implementation and Clinical Workflows

The enterprise agreement is designed to combine access across the UT System with implementation and innovation at the individual campus level. The framework is intended to support deployment across the healthcare network while preserving local decision-making.

Peter McCaffrey, M.D., chair and vice president of UT REAL Health AI, described the partnership as reflecting a shared approach to healthcare delivery. In a statement, he said it “represents a shared conviction about what healthcare delivery looks like when designed intentionally as an integrated system.”

McCaffrey also said the partnership aims to expand clinicians’ access to ambient AI to reduce the administrative burden associated with clerical work and help return their attention to patients at the bedside.

Abridge CEO and co-founder Shiv Rao said technological transformation in healthcare requires trust, integration into clinical workflows, and scale. He also described the agreement as an opportunity to work with UT REAL Health AI on its vision for the future of healthcare delivery and improving Texans’ lives.

Abridge’s Other Healthcare Technology Agreements

Abridge reports that it works with 300 of the largest and most complex health systems in the United States. The company’s platform is expected to support more than 100 million patient-clinician conversations this year.

Last month, Abridge received an enterprise contract for ambient AI with the U.S. Department of Veterans Affairs (VA). The agreement makes the company eligible to compete for specific VA task orders as the agency continues its electronic health record modernization effort, potentially allowing broader adoption across the VA.

Abridge has also expanded its AI capabilities with a pre-bill review function designed for clinical documentation integrity, coding and revenue cycle teams.

Abridge Expands Its Clinical AI Partnership With the University of Texas System

Abridge announced an enterprise-wide agreement on October 8, 2026, to expand access to its clinical artificial intelligence platform across the University of Texas System. The partnership, coordinated through UT REAL Health AI, creates a systemwide framework for healthcare institutions to access Abridge’s technology while retaining local control over implementation decisions.

The expansion marks an important step in the adoption of AI-powered clinical tools across large academic healthcare networks. By integrating Abridge into clinical workflows, participating institutions aim to reduce documentation burdens, improve clinician efficiency, and help healthcare professionals spend more time interacting with patients.