Briana Thrift

About Briana Thrift

As a data scientist-turned-product manager, I build AI-powered tools that help clinicians make better, faster decisions—freeing up their time to focus on what matters most: their patients. With over a decade of experience across public health, data science, and product development, I now lead a portfolio of digital health products at Mayo Clinic, focused on generative AI, predictive modeling, and operational analytics in Transplant. Current Work• Generative AI Product 1Enterprise-wide tool that uses LLMs to summarize unstructured data (clinical notes, emails) and power decision support across departments—supporting tasks like pre-op workflows, transplant committee decisions, and national registry reporting.→ $2.2M pilot project→ Filed 2 patents→ Scaling across 3 sites and multiple specialties• Generative AI Product 2Combines LLMs + predictive modeling to forecast post-transplant medication dosing.→ Integrated with Epic→ Undergoing SaMD regulatory process→ $1.7M project, live across all sites• Transplant Analytics DashboardsI manage 4 live data tools used daily by transplant leaders to drive operational and clinical decisions—ranging from patient journey metrics to cost tracking and geospatial referral trends. What I Bring• Proven ability to lead cross-functional teams: engineers, UX, data scientists, QA, clinicians• Deep focus on turning unstructured data into clear, useful insights• Track record of building solutions that scale and serve real-world clinical needs• Early career foundation in epidemiology, global health, and health equity Let’s connect if you\'re looking for…• Product managers with AI/ML expertise in healthcare• Experience leading enterprise-grade pilots and navigating clinical/regulatory settings• Someone who can bridge the gap between clinicians, engineers, and data

Experience

1. Technical Product Manager Transplant Center

   Mayo Clinic

   Aug 2024 — Present · Washington, DC, US

   Led development of generative AI technology, resulting in 2 patents and the deployment of 5 AI-powered services within clinical EHR systems.• Scaled AI-driven clinical solutions across three departments, integrating assistant-style automation to streamline workflows, enhance data accuracy, and reduce administrative overhead, resulting in higher patient and staff satisfaction.• Defined and executed AI-driven product vision, leading to a 50% decrease in clinical time spent in manual chart review, achieving 97% recall and precision accuracy.• Lead cross-functional teams to develop and launch AI-powered features, reducing clinical administrative workload by 80% for over 300+ healthcare providers.• Oversee go-to-market strategies for FDA-regulated and non-regulated AI clinical solutions, ensuring compliance and achieving 92% adoption rate within target markets.

Education

• University of California, San Diego

  Bachelor of Science

• San Diego State University

  Master of Public Health