Stanford Computational Medicine Research Colloquium | Responsible AI in Healthcare: From RWE to Agentic Systems
Zoom livestream: https://stanford.zoom.us/j/97887596012?pwd=bGVpbG1uL2ZBdEd2cHQzcVJMR3p6UT09
Webinar ID: 978 8759 6012 | Passcode: 420642
KEY INFO
When: Thursday, November 12, 2026, 12:00-1:00 p.m. Pacific
Where: Tapao Hall, 3180 Porter Drive, rooms B107 and B136, Palo Alto, CA 94304, or online via Zoom
Lunch will be served during talk | Q&A will follow
AFTER THE TALK
Recordings are posted on the ARISE podcast page within a week: https://www.arise-ai.org/podcast
SPEAKERS
Nigam H. Shah, MBBS, PhD.
Professor of Medicine, and of Biomedical Data Science & Chief Data Scientist
At Stanford University & Stanford Health Care
Bio: Dr. Nigam Shah is Professor of Medicine at Stanford University, and Chief Data Scientist for Stanford Health Care. He studies ways of bringing AI into clinical use, safely, ethically and cost-effectively. Dr. Shah is an inventor on nine patents, has authored over 350 scientific publications, and has co-founded three companies. Dr. Shah was inducted into the American College of Medical Informatics (ACMI) in 2015, the American Society for Clinical Investigation (ASCI) in 2016 and the Association of American Physicians (AAP) in 2026. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.
THE TALK
"Responsible AI in Healthcare: From RWE to Agentic Systems"
We will discuss the arc from using longitudinal clinical data to generate real-world evidence, through predictive and generative AI, to agentic systems capable of acting across electronic health records, payer portals, and other operational infrastructure. Across each stage, we see that technical performance alone does not produce clinical value. Benefit depends on the workflow, decisions and interventions surrounding an AI system; the capacity to act on its output; and the fairness, safety, reliability, and cost of doing so. Drawing on experience building Green Button, FURM, MedHELM, ChatEHR, and HealthAdminBench, we will review approaches to evaluation, governance, prospective deployment, and post-deployment monitoring. The goal is to create trustworthy systems that preserve human agency, recognize their limits, and deliver measurable improvements in patient care and healthcare operations.
HOST & MODERATOR
Hosted by the Stanford Division of Computational Medicine. Moderated by Jonathan H. Chen, MD, PhD, PI at Stanford ARISE.
KEEP IN TOUCH
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