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 Speaker Profile

Chief Commercial Officer, Evidation Health

Biography
Phil Johnson is a recognized leader in advancing healthcare innovationthrough real-world data and digital health solutions. At Evidation, heleverages a community of over 5 million individuals and innovativedirect-to-patient, longitudinal data capture capabilities to advancepatient-centric health research and accelerate drug development. With deepexpertise in technology and real-world data, Phil has a proven track recordof improving research and patient outcomes. His previous work includesbuilding Real-World Data initiatives and promoting Clinical Diversity at Tempus AI, as well as launching a healthcare and life sciences division at Amazon Web Services, where he forged strategic partnerships with leadingU. S. healthcare organizations.


 Session Abstract – PMWC 2026 Silicon Valley

Track 2: AI - March 5 9.00 A.M.-5.00 P.M.


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

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