Speaker Profile
M.D., Founder and Chairman, OM1
Biography
Dr. Rich Gliklich is the founder of OM1, Inc. Previously, he was founder and CEO of Outcome, which he led from inception through its acquisition by Quintiles and then as an XIR with General Catalyst Partners where OM1 was started.Dr. Gliklich is well known in the areas of outcomes, registries and AI. He is senior editor of the landmark publication by the U.S. Agency for Healthcare Research and Quality (AHRQ) handbook "Registries for Evaluating Patient Outcomes: A User's Guide and the PI for the Outcomes Measures Framework, which focuses on standardization of outcomes measurement. . Dr. Gliklich holds more than 10 patents in clinical AI and outcomes.Dr. Gliklich is a graduate of Yale University and Harvard Medical School and is a surgeon and professor, part time, at Harvard Medical School.
Talk
Predict What's Next: An AI Transforming Healthcare
Trained on billions of patient-years of RWD, PhenOM is a foundation model that powers digital phenotyping and predicts medical events and outcomes. It accelerates patient finding for undiagnosed conditions, predicts risks of costly events and disease progression, and estimates treatment effects for individuals and populations. Learn how this AI is used across healthcare stakeholders.
Session Abstract – PMWC 2026 Silicon Valley
Track Chairs:
William Oh, Yale & David Reese, Amgen
PMWC Award Ceremony
• Nigam Shah, Stanford
Keynote
• David Reese, Amgen
Real-World Evidence & Clinical AI: Closing the Loop Between Data and Care
• Chair: Roxana Daneshjou, Stanford
• Aashima Gupta, Google
• David Sontag, Layer Health
• Brigham Hyde, Atropos Health
• Michael Pfeffer, Stanford
• Thomas Fuchs, Lilly
From Data to Decisions: Building Regulatory-Grade RWE from EHR Systems in Oncology
• Chair: Kate Estep, Flatiron Health
AI and Real-World Evidence: Building a Learning Health System for Precision Care
• Rich Gliklich, OM1
AI for Clinical Decision Support: From Models to Bedside
• Chair: Amrita Basu, UCSF
• Anurang Revri, Stanford
• Emily Alsentzer, Stanford
• Okan Ekinci, Roche
AI for CDS: From Models to Bedside
• Zachary Ziegler, OpenEvidence
Operationalizing AI in Health Systems: Trust, Adoption & Outcomes
• Chair: Danton Samuel Char, Stanford
• Matthew Solomon, Sutter Health
• Karan Singhal, Head of Health, OpenAI
• Sina Bari, iMerit Technology
• Hal Paz, Khosla Ventures
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Nigam Shah, Stanford
• David Entwistle, CEO, Stanford Health Care
• Vincent Liu, Kaiser Permanente
AI for Precision Psychiatry: Integrating Multimodal Data Into Clinical Decision Support
• Erwin Estigarribia, HEADLAMP Health
Workflow-First Clinical AI: Integration Patterns, Guardrails & Change Management
• Jorge Duran, Klick Health
From Patient-Generated Data to Regulatory-Grade RWE: Design, Bias & Outcome Linkage
• Greg Bowyer, Evidation
