Bio


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 implement informatics-driven approaches and new technologies, such as AI, to optimize clinical workflows, alleviate physician burnout, and champion health equity in a world of growing dependence on digitalized health systems.

Dr. Lee has been key to several initiatives in improving operational processes within Stanford. Her efforts range from advancing the governance of clinical decision support to the strategic integration of the Prescription Drug Monitoring Program into the electronic health record (EHR), thereby reducing clinician work burden in addressing the opioid crisis. Additionally, she has developed an innovative EHR tool that serves as a dynamic guide and triage system, effectively managing the surge of patient portal communications. Alongside her informatics initiatives, Dr. Lee's health equity research focuses on leveraging patient data and AI/ML models to identify and mitigate health disparities, making certain they function as instruments of equity rather than perpetuating inequities.

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

Dr. Lee grew up in Los Angeles. She holds a BA in Psychology from Columbia University and a MPH in Chronic Disease Epidemiology from Yale. After completing medical school at The State University of New York at Buffalo she came back to the best coast (as she missed the sun) and finished Internal Medicine residency at UC Riverside.

Academic Appointments


Professional Education


  • Residency, University of California, Riverside, Internal Medicine
  • Internship, University of California, Riverside, Internal Medicine
  • BA, Columbia University, Psychology
  • MPH, Yale School of Public Health, Chronic Disease Epidemiology
  • MD, University at Buffalo, Medicine

All Publications


  • Paging the Clinical Informatics Community: Respond STAT to Dobbs v Jackson's Women's Health Organization. Applied clinical informatics Arvisais-Anhalt, S., Ravi, A., Weia, B., Aarts, J., Ahmad, H. B., Araj, E., Bauml, J. A., Benham-Hutchins, M., Boyd, A. D., Brecht-Doscher, A., Butler-Henderson, K., Butte, A., Cardillo, A. B., Chilukuri, N., Cho, M. K., Cohen, J. K., Craven, C. K., Crusco, S. J., Dadabhoy, F., Dash, D., DeBolt, C., Elkin, P. L., Fayanju, O. A., Fochtmann, L., Graham, J. V., Hanna, J., Hersh, W., Hoffard, M. R., Hron, J., Huang, S. S., Jackson, B. R., Kaplan, B., Kelly, W., Ko, K., Koppel, R., Kurapati, N., Labbad, G., Lee, J., Lehmann, C. U., Leitner, S., Liao, Z. C., Medford, R. J., Melnick, E. R., Muniyappa, A. N., Murray, S., Neinstein, A., Nichols-Johnson, V., Novak, L., Ogan, W. S., Ozeran, L., Pageler, N., Pandita, D., Perumbeti, A., Petersen, C., Pierce, L., Puttagunta, R., Ramaswamy, P., Rogers, K. M., Rosenbloom, T., Ryan, A., Saleh, S., Sarabu, C., Schreiber, R., Shaw, K. A., Sim, I., Sirintrapun, S. J., Solomonides, A., Spector, J. D., Starren, J. B., Stoffel, M., Subbian, V., Swanson, K., Tomes, A., Trang, K., Unertl, K. M., Weon, J. L., Whooley, M., Wiley, K., Williamson, D. F., Winkelstein, P., Wong, J., Xie, J., Yarahuan, J. K., Yung, N., Zera, C., Ratanawongsa, N., Sadasivaiah, S. 2022

    Abstract

    n/a.

    View details for DOI 10.1055/a-2000-7590

    View details for PubMedID 36535703