Speaker Profile
M.S., Computer Science, Chief Enterprise Architect, Stanford Health Care
Biography
Anurang Revri is Chief Enterprise Architect for Stanford Healthcare. He isresponsible for managing the enterprise and solution architects, whichincludes 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 A IML Ops capability to enable translation of Stanford Medicine research into clinical and other operational workflows. Anurang is also responsible for Stanfords integration and A PI platform witha 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: Responsible AI in Healthcare: From RWE to Agentic Systems
• Nigam Shah, Stanford
Keynote: Scaling Trusted AI: From Computational Pathology to Next-Gen Medicines
• Thomas Fuchs, Lilly
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: Nadia Poluhina, Mayo Clinic
• Kate Estep, Flatiron Health
• Alyssa Pybus, Moffitt Cancer Center
• Julie Stein Deutsch, Johns Hopkins
• Jeremy Jones, Mayo Clinic
Predicting Outcomes: An AI Model Trained on RWE 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
Keynote: AI for CDS-From Models to Bedside
• Zachary Ziegler, OpenEvidence
Operationalizing AI in Health Systems: Trust, Adoption & Outcomes
• Chair: Danton Samuel Char, Stanford
• Karan Singhal, OpenAI
• Sina Bari, iMerit Technology
• Shashi Shankar, Novellia
• Hal Paz, Khosla Ventures
• Syed Mohiuddin, Anthropic
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Vincent Liu, Kaiser
• Richard Milani, Sutter Health
Transforming Transplant Care Through AI: From Predictive Insights to Precision Decisions
• Jing Huang, CareDx
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 Durand, Klick Health
From Patient-Generated Data to Regulatory-Grade RWE: Design, Bias & Outcome Linkage
• Phil Johnson, Evidation
