Speaker Profile
M.D., CEO, Om1
Biography
Dr. Richard Gliklich, MD is the founder of OM1, Inc. Previously, he was founder and CEO of Outcome, which he led from inception through its acquisition by Quintiles.Dr. Gliklich is well known in the areas of registries, outcomes and analytics. 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. He has led several key national and international efforts focused on evaluating the safety, effectiveness, value and quality of healthcare. Dr. Gliklich also holds several patents for both health outcomes systems and medical devices.Dr. Gliklich is a graduate of Yale University and Harvard Medical School and a former Charles A. Dana Scholar at the University of Pennsylvania. He is also a surgeon and the Leffenfeld Professor at Harvard Medical School.
Talk
AI and Real-World Evidence: Building a Learning Health System for Precision Care
Session Abstract – PMWC 2026 Silicon Valley
Track Co-Chairs:
- William Oh, Yale Cancer Center
- David Reese, Amgen
Patient-centric data, such as Real-World Evidence (RWE) and Real-World Data (RWD), has become critical in reshaping drug development and healthcare decision-making. Over the last few years, regulatory agencies like the FDA and EMA have increasingly embraced RWE/RWD for decision-making processes, influencing everything from new drug indications to post-marketing surveillance. The integration of RWE and RWD is not only supporting clinical trial design and regulatory approvals, but also enabling precision medicine by providing deeper insights into patient subpopulations and their outcomes
PMWC Award Ceremony Honorees
• Nigam Shah, Stanford
Keynote
• David Reese, Amgen
Keynote
• Zachary Ziegler, OpenEvidence
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
• Brian Bradbury, Amgen
From Data to Decisions: Building Regulatory-Grade RWE from EHR Systems in Oncology
• Chair: Kate Estep, Flatiron Health
AI for Clinical Decision Support: From Models to Bedside
• Chair: Amrita Basu, UCSF
• Anurang Revri, Stanford
• Emily Alsentzer, Stanford
• Okan Ekinci, Roche
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
• David Entwistle, CEO, Stanford Health Care
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
