Speaker Profile
M.S., Computer Science, Chief Enterprise Architect, Stanford Health Care
Biography
Anurang Revri is Chief Enterprise Architect for Stanford Healthcare. He is responsible for managing the enterprise and solution architects, which includes creating solution blueprints and chairing architecture governance. Anurang has provided platform-oriented thought leadership in architecting Telemedicine, RPM, and other digital solutions at Stanford. In addition, Anurang is leading the AIML Ops capability to enable translation of Stanford Medicine research into clinical and other operational workflows. Anurang is also responsible for Stanfords integration and API platform with a mission to democratize data.
AI for Clinical Decision Support Systems Showcase:
Stanford Healthcare
Leading Academic Medical Center.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
William Oh, Yale
PMWC Award Ceremony
• Nigam Shah, Stanford
• Thomas Fuchs, Lilly
Keynote
• Thomas Fuchs, Lilly
Keynote
• Nigam Shah, Stanford
Real-World Evidence & Clinical AI: Closing the Loop Between Data and Care
• Chair: Roxana Daneshjou, Stanford
• Aashima Gupta, Google
• 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, OpenAI
• Sina Bari, iMerit Technology
• Shashi Shankar, Novellia
• Hal Paz, Khosla Ventures
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Vincent Liu, Kaiser
• David Entwistle, Stanford Health Care
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
