Our work covers a broad range of aims centered on the development and integration of artificial intelligence (AI) technologies that solve important, practical problems for patients, providers and health systems. 

We work with clinical, operational, and technical teams to advance the development of clinically relevant models, leveraging quality improvement, implementation science, design thinking, and traditional research methods.

Director's Message

Read a message from HEA3RT's Executive Director Dr. Steven Lin and learn about the mission and vision of our program 

Work With Us

Learn about ways to engage with HEA3RT, whether you're a prospective partner from industry, academia, or the non-profit world


Explore our projects studying the implementation of AI technologies in healthcare to support patients, providers, and health systems

Recent News & Publications

Sowing the Future of Primary Care with the AI/ML Bootcamp at NAPCRG

North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, October 2023.

At this year's NAPCRG meeting, HEA3RT, supported by the generous sponsorship of the Gordon and Betty Moore Foundation and the American Board of Family Medicine Foundation, led a momentous event — a sold-out AI/ML Bootcamp that drew a diverse crowd of primary care researchers, clinicians, and healthcare professionals. Each attendee arrived with a shared objective: to delve into the vast potential that AI holds for primary care. For more insights, check out the E-participant packet from the workshop here.

HEA3RT featured in Stanford Medicine Annual Report

Stanford Medicine Annual Report, October 2023.

In the 2023 Stanford Medicine Annual Report, Dr. Steven Lin, HEA3RT's Executive Director, discusses the organization's threefold mission: accelerating the application of artificial intelligence and machine learning into the primary care space, supporting rigorous scientific AI implementation research, and addressing issues of diversity, equity, and inclusion in AI development. HEA3RT's goal is to serve as a bridge between data scientists and the front lines of health care. Read the full report here.