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.
Recent News & Publications
HEA₃RT Executive Director Steven Lin selected as 2021 NAM Fellow
NAM, August 2021
The National Academy of Medicine (NAM) has selected Steven Lin as the 2021 James C. Puffer, MD/American Board of Family Medicine (ABFM) Fellow.
The fellowship program enables talented, early-career health policy and science scholars in family medicine to continue their main responsibilities while engaging part-time over a two-year period in the National Academies’ health and science policy work.
Improving patient outcomes with AI: translation & implementation
AIMI, August 2021
Dr. Steven Lin discusses practical considerations for translating and implementing predictive models to improve population health at the 2021 AIMI Symposium.
"Even if you have a perfect model, connecting predictions with clinical interventions requires an effective patient engagement platform. The best approach is to leverage the trusting relationship patients have with their PCPs."
Words From Collaborators
"The collaboration with Stanford has been awesome from the start – really great, open dialogue, shared vision, creativity, thoughtfulness, and prioritization – we couldn’t have asked for more up to this point."
- Srini Akkaraju MD, PhD
- Co-Founder, Codex Health
"The team brings not only clinical expertise but also operational excellence. For our project, Dr. Sattler led the team to think through every aspect of the clinical workflow to ensure the best patient and provider experiences possible."
- Jiayin Xue MD, MPH
- Adjunct Professor, Clinical Excellence Research Center
"The high quality of the collaboration came from clearly defined goals followed by structured meetings and deliverables that carried the work forward. Research is often ambiguous and finding the right dynamics on a team can be a big challenge, but I never experienced this during the collaboration with HEA3RT."
- Samuel Thomas MD
- Fellow, Stanford + Intermountain Fellowship