Speaker Profile
Ph.D., Chief, Division of Clinical Informatics & Digital Transformation, UCSF
Biography
Julia Adler Milstein is a renowned health IT researcher at the University of California, San Francisco (UCSF). She is a Professor in the Department of Medicine and Chief of the Division of Clinical Informatics Digital Transformation. Dr. Adler Milstein's research focuses on the intersection of health information technology and healthcare delivery. She has conducted extensive work on the impact of EHRs and interoperability on clinical workflow, patient safety, and healthcare quality. Her research has been published in numerous high impact journals, including the New England Journal of Medicine, Health Affairs, and JAMA. Dr. Adler Milstein also serves as a consultant to federal and state agencies, including the Office of the National Coordinator for Health Information Technology and the California Department of Health Care Services. She is a member of the National Academy of Medicine and serves on the Board of the American Medical Informatics Association (AMIA).
Talk
Session Abstract – PMWC 2027 Silicon Valley
Track Chair:
Vincent Liu, Kaiser Permanente
PMWC Award Ceremony
• Ziad Obermeyer, UC Berkeley (Luminary)
Featured Speakers
• Ziad Obermeyer, UC Berkeley
• John Halamka, Mayo Clinic Platform
• Ashley Beecy, Sutter Health
• Shiv Rao, Abridge
• Munjal Shah, Hippocratic AI
• Vivek Natarajan, Google Health
• Vincent Liu, Kaiser Permanente
• Mark Sendak, Duke Health
• Joshua Denny, NIH
• Chris Lunt, Critical Path Institute
• Ida Sim, UCSF
• Travis Zack, OpenEvidence
• Danton Char, Stanford
• Brian Anderson, CHAI
• Julia Adler-Milstein, UCSF
The Year in Clinical AI
What shipped, what failed, and what should change next.
AI Agents in Clinical Workflows
Ambient documentation, patient-facing agents, and operational agents in real care.
Foundation Models in Healthcare
What makes a clinical foundation model useful, deployable, and trusted.
AI, Human Cohorts, Trials & RWE
Turning clinical data into stronger trials and decision-grade evidence.
AI Safety, Governance & Evaluation
Avoiding harm at scale when algorithms move into production.
AI + Pharmacogenomics
How decision support and drug-response data can make each other more useful.
PMWC Hall of Impact
Previous Speakers Include
Nobel laureates, technology founders, regulators, CEOs and scientific pioneers who have taken the PMWC stage.
