Stanford University
Showing 41-50 of 185 Results
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Jennifer Lee
Professor of Medicine (Endocrinology) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsI am a healthcare lead and physician scientist for innovation, R&D, and advanced analytics, and oversee these aspects at VA Palo Alto/VHA, within Stanford-VA relationship. The VA has the US's largest health care system and longest running EHR. I prioritize enabling multiple partners (industry, government, academia, foundations), to innovate/R&D in the VA health care system. We prioritize mentoring students from various Schools to become future leaders in R&D, innovation, and healthcare.
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Julie Jung Hyun Lee
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Julie J. Lee is a board-certified internal medicine physician, epidemiologist, and clinical informaticist at Stanford University. She works at the forefront of responsible technology and artificial intelligence (AI) integration in healthcare—spanning research, operations, and real-world clinical use. With degrees in Psychology from Columbia University and Epidemiology from Yale University, Dr. Lee brings a unique perspective as an end-user clinician, public health researcher, and systems thinker with deep technical fluency.
At the Stanford Division of Primary Care and Population Health, she serves as Clinical Assistant Professor and Health Equity Informaticist, leading data-informed strategies to close care gaps and implement technology that works in real clinical environments—particularly in primary care settings where systemic challenges around access, coordination, and equity are most visible. Her informatics work encompasses implementation research, governance and operations of clinical decision support (CDS), integration of Prescription Drug Monitoring Programs (PDMPs), deployment of continuous glucose monitors (CGMs) in inpatient settings, and human factors research to improve health IT usability and physician-patient communication.
Dr. Lee’s expertise spans interoperability, EHR physician-builder capabilities, and human-centered design—applying design thinking, data science, and implementation science to drive equitable, clinically grounded innovations. Her focus on clinical feasibility ensures AI tools and digital health interventions are scalable, operationally feasible, and aligned with the real needs of patients and frontline care teams. She advises industry and innovators on designing health technologies that bridge the gap between innovation and implementation.
Health equity is Dr. Lee’s north star, guiding her work in both academic and community settings. Her decade of research spans cardiometabolic health, diabetes, applied AI, and patient safety, with a consistent focus on underserved populations. She has led projects on language and acculturation in Latino communities, translated liver disease research into frontline care in East Los Angeles, and contributed to foundational studies on sex-specific cardiovascular risk factors in women and transgender populations. She is currently focused on advancing precision health for Asian and Native Hawaiian and Pacific Islander (NHPI) communities, particularly in the realm of obesity medicine.
Dr. Lee is widely published in journals such as Diabetes Care, JAMA Network Open, NPJ Digital Medicine, Applied Clinical Informatics, Journal of the American Heart Association, and Menopause. Her informatics philosophy centers on translating research into practice—bringing high-quality evidence directly to clinicians in ways that are actionable, equitable, and embedded into the EHR workflow.
