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Milken Scholar 2007
Scholar Profile

Julie Lee

Medicine

Biography

Julie J. Lee, MD, MPH, is a board-certified internal medicine physician and clinical informaticist at Stanford University. Dr. Lee's expertise in clinical informatics enables her to use informatics-driven approaches and clinically integrate AI models to improve patient health outcomes, alleviate physician burnout by streamlining workflows, and champion health equity at all levels, especially with AI implementation. Currently, as a part of her informatics approaches, Dr. Lee focuses on clinical feasibility of AI implementation in healthcare systems and also leveraging patient data and AI models to identify/mitigate health disparities, making certain they function as instruments of equity rather than increasing gaps.

In the upcoming academic year, Dr. Lee will lead as health equity informaticist within the Primary Care Population Health division at Stanford.

Dr. Lee has been key to several initiatives in improving operational processes within Stanford. Her efforts include: 1) advancing the governance and operations of Clinical Decision Support, 2) strategic integration of the Prescription Drug Monitoring Program into the electronic health record (EHR) to address the opioid crisis 3) human factors analysis of the usability of health information technology on physicians and patient outcomes. Additionally, she has worked on innovative solutions to improve patient-physician communications--including the creation of a dynamic EHR tool for better triage and processing by medical staff before a medical advise request reaches the doctors.

Health equity is her north star, informing Dr. Lee to dedicated engagement with historically underrepresented populations in medical research and collaborative partnerships between academia and community healthcare practitioners. Her previous role as an EpiScholar with the Los Angeles Department of Public Health involved researching the impact of language and acculturation on the Latino population's dietary habits and health behaviors, with a particular focus on diabetes. She has also worked with community health centers in east Los Angeles to bridge the translational gap between academic research and frontline healthcare workers, facilitating the transfer of cutting-edge liver disease research to those treating patients with substance abuse-related liver conditions. Of major clinical interest is cardiovascular disease—she has published several papers including a landmark article on the impact of sex-specific risk factors for cardiovascular disease in women and transgender population.

She is a member of Healthcare AI Applied Research Team (HEA3RT) with a focus on bringing code to bedside, and actively seeks industry collaborations with health tech industries. https://med.stanford.edu/healthcare-ai/about/hea3rt-team.html


High school:  Beverly Hills High School

Degrees

College Year Degree
Columbia University
New York, NY
2011 B.S. Psychology
Yale University
New Haven, CT
2013 M.P.H. Chronic Disease Epidemiology
State University of New York - Buffalo
Buffalo, NY
2019 M.D. Medicine

News and Highlights

Julie Lee (MS '07)

Future Healthcare Leader: Congratulations to Julie Lee, MS ‘07, for being selected as a Future Physician Leader in the national HVPAA. With the support of HVPAA, she will be focusing on improving crossmatched to transfused blood product ratio with purposeful education and EMR informatics change within the Riverside County health system. We are excited to continue learning from your leadership and work!

Julie Lee (MS '07)

Cardiovascular Queries: Dr. Julie Lee, MS '07, recently earned her MD with Research Honors from the State University of New York at Buffalo - School of Medicine & Biomedical Sciences. Her research on women’s cardiology won first prize at Academy of Women and was published by the Journal of American Heart Association and Healio!

Julie Lee (MS '07)

Researching her next step. Soon-to-be Columbia graduate, Julie Lee, MS '07, has accepted an appointment at Yale's M.P.H. program in Chronic Disease Epidemiology.