Stanford Computational Medicine Research Colloquium | From Bits to Bedside: Three Clinical AI Pilots that Scaled - or Stopped
Zoom livestream: https://stanford.zoom.us/j/97887596012?pwd=bGVpbG1uL2ZBdEd2cHQzcVJMR3p6UT09
Webinar ID: 978 8759 6012 | Passcode: 420642
KEY INFO
When: Thursday, October 15, 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
SPEAKERS
April Liang, MD.
Clinical Assistant Professor, Medicine & Internist and Clinical Informaticist, at Stanford University & Stanford Health Care
April S. Liang, M.D., is a Board-Certified internist and Clinical Informaticist. She serves as Clinical Assistant Professor in the Stanford Division of Hospital Medicine as well as Medical Informatics Director.
Dr. Liang's informatics interests include the implementation of AI tools in healthcare and data-driven quality improvement. Her past work includes integrating a machine learning-driven clinical decision support tool in the EHR targeting lab overutilization and measuring the impact of ambient AI scribes on clinician documentation time.
Jane Wang, MD.
Clinical Assistant Professor, Medicine & ENT Surgical Co-Management Hospitalist, at Stanford University & Stanford Health Care
Dr. Jane Wang is an ENT Surgical Co-Management Hospitalist at SHC. She completed medical school at the Johns Hopkins University School of Medicine and internal medicine residency at UCLA Ronald Reagan, with completion of the Resident Informatics Program. She has conducted extensive research on digital health interventions and health systems innovation, publishing in Nature Digital Medicine, Circulation, JAMIA, JMIR, and BMC Primary Care, among others.
She currently serves as a Faculty Mentor for the BioDesign 273 course, has spoken as a guest panelist at the Stanford Graduate School of Business and Berkeley Haas School of Business, and serves as an MD Lead for the Stanford Care at Home program.
Natasha Steele, MD, MPH.
Clinical Assistant Professor, Medicine & Internist, at Stanford University & Stanford Health Care
Dr. Natasha Steele, MD, MPH, is an Assistant Professor of Medicine in the Division of Hospital Medicine at Stanford University School of Medicine. Her work sits at the intersection of health system operations and clinical informatics, focused on leveraging existing and emerging technologies to optimize clinician workflows, strengthen the patient experience, and drive durable, health system-wide change.
Stephen Ma, MD PhD.
Clinical Assistant Professor, Medicine & Internist and Clinical Informaticist, at Stanford University & Stanford Health Care
Stephen Ma, MD/PhD, is a Clinical Assistant Professor in Stanford's Division of Hospital Medicine who cares for adult inpatient general medicine patients. Trained in clinical informatics, his work focuses on implementing and evaluating technologies such as ambient AI scribes, clinician-facing analytics, ML-enabled workflows to standardize care, and tools for care-team communication and scheduling.
His background includes electrical engineering (Princeton), MD/PhD training (Columbia), and doctoral research developing patient-derived human cardiac disease models using stem cells, tissue engineering, optogenetics, and related technologies.
THE TALK
In this session, speakers will describe the development, pilot process, and results of 3 clinical AI tools (surgical co-management risk screening, repetitive low-yield lab identification, and LLM-generated discharge summary). Furthermore, speakers will share what happened during real-world deployment and concrete lessons learned.
HOST & MODERATOR
Hosted by the Stanford Division of Computational Medicine. Moderated by Jonathan H. Chen, MD, PhD, PI at Stanford ARISE.
AFTER THE TALK
Recordings are posted on the ARISE podcast page within a week: https://www.arise-ai.org/podcast