Bunkerhill Health and UTMB Health Advance Clinician-Led AI Innovation at Enterprise Scale

SAN FRANCISCO, January 13, 2026 — Bunkerhill Health today announced the broad, system-wide deployment of its Carebricks platform at The University of Texas Medical Branch (UTMB Health), enabling the rapid expansion of clinician-led, agentic AI workflows that support care delivery and operations for a health system serving more than a million patient visits each year.

Over the past year, UTMB Health has moved beyond isolated AI initiatives to establish a repeatable, enterprise-scale model for turning frontline ideas into action. Clinical and operational teams across the organization are now actively designing, launching, and scaling AI agents that operate directly within live clinical and administrative systems. More than 15 custom agents are live today across high-impact domains, with dozens more in active development, as the pace of agent creation continues to accelerate across departments.

“We are excited to increase our partnership with Bunkerhill and Carebricks to advance the frontier of health care across the UTMB enterprise.” said Vineet Gupta, PhD, Vice President for Innovation at UTMB. “We are reimagining work and the speed of problem solving. Our workforce can go from idea to implementation in days, and we have seen a new energy and a new level of innovation in our approach to everything we do”

Turning ideas into action

Every Carebricks workflow deployed at UTMB begins with an idea from its clinicians or operational leaders. Rather than selecting from a predefined library of solutions, teams describe the problem they want to solve, the clinical or operational logic that matters most, and the actions they want the system to take. With Carebricks’ flexible, specialty-agnostic platform and deep health care integrations, those ideas can be turned into production-ready agents in days instead of months.

This model has already led to live deployments across a broad set of clinical and operational domains, including:

• Cardiovascular risk identification, detecting coronary artery calcium and aortic valve calcium on routine CT scans and ensuring timely follow-up for eligible patients
• Aortic aneurysm identification and follow-up, flagging patients with known or incidentally identified aneurysms and routing them into appropriate surveillance or care pathways
• Lung nodule tumor board preparation, automatically assembling imaging, clinical history, and longitudinal data for multidisciplinary review
• Incidental pulmonary nodule management, identifying pulmonary nodules from existing reports, assessing clinical significance, and prioritizing cases requiring follow-up
• Patient access acceleration, prioritizing urgent referrals and initiating next steps to reduce delays across high-demand specialty clinics, including gastroenterology, hematology, nephrology, rheumatology, endocrinology, infectious disease, and pulmonology
• Prior authorization automation, streamlining workflows across specialty pharmacy and medical benefits
• MASH treatment eligibility identification, identifying eligible patients following FDA approval of Wegovy and initiating downstream care pathways
• Chronic kidney disease care gap closure, identifying missing labs, visits, or therapies and routing patients into appropriate care
• Peri-operative medical clearance automation, assessing risk and routing patients to appropriate pre-surgical evaluation
• Case documentation improvement support, identifying documentation gaps and initiating corrective workflows

Across these deployments, agents not only surface insights but also act, dramatically reducing manual effort and enabling teams to operationalize ideas that were previously stalled by resource or technical limitations.

Accelerating impact across the health system

Early results demonstrate meaningful impact across clinical care and operations, highlighting the power of clinician-designed, agentic workflows:

• Earlier identification of high-risk patients: AI-driven cardiovascular screening workflows have identified patients who subsequently underwent life-saving open-heart surgeries, enabling earlier intervention that may not have occurred otherwise.
• Improved care velocity and clinician efficiency: Streamlined workflows are reducing delays and manual effort, allowing clinicians to focus on higher-value care. In pulmonary workflows, urgent cases are now navigated approximately 80% faster.
• Expanded capacity for continuous innovation: By dramatically lowering the time and effort required to test and deploy new workflows, UTMB teams are now proposing, launching, and scaling new agents at a pace that continues to accelerate across the enterprise.
• Improved documentation accuracy and financial outcomes: In a case documentation improvement support workflow, UTMB teams identified and corrected inaccurate billing codes, resulting in hundreds of thousands of dollars in additional captured revenue within the first month of deployment.

‍

“For a long time, innovation was constrained by the tools available to us,” said Peter McCaffrey, M.D., M.S., Chief Digital and AI Officer at UTMB. “Teams had to choose from a narrow set of predefined workflows or invest months of time and significant resources to bring new ideas to life. With Carebricks, our clinicians and operators can now take their own ideas, experiment quickly, and move them into live deployment in days or weeks. That shift is fundamentally changing how we bring agentic AI into practice across UTMB.”

A model for continuous AI execution

Carebricks operates as a shared foundation across UTMB’s enterprise, enabling consistent governance, deep integration, and rapid iteration while preserving clinical judgment and local control. For Bunkerhill, the partnership reflects a broader shift in how health systems are approaching AI, moving from isolated pilots to continuous execution at scale.

“We didn’t come to UTMB with a list of workflows,” said Nishith Khandwala, co-founder and CEO of Bunkerhill Health. “We built a system that lets clinicians and operators execute on their own ideas, again and again. What UTMB is demonstrating is how quickly innovation compounds when the right foundation is in place.”

With clinician-led agent creation accelerating across departments, UTMB Health continues to expand a growing portfolio of AI capabilities that strengthen its ability to deliver proactive, high-quality care at scale.

About Bunkerhill Health

Bunkerhill Health builds Carebricks, healthcare’s system of action. Carebricks enables clinical and operational teams to build AI agents in days that reason across data, make contextual decisions, and take appropriate action within existing systems. By reducing the cost of exploring, testing, and launching new workflows to near-zero, Carebricks allows health systems to translate ideas into production-ready workflows with unprecedented speed, pursue initiatives that were previously impractical, and reimagine how care is delivered.