Speaker Profile
Global Director, Healthcare Strategy and Solutions, Google
Biography
Aashima spearheads the healthcare vertical for Google Cloud. In this role, she helps healthcare stakeholders to build innovative solutions and identify new models for care, revenue generation, and improved patient experiences. These solutions incorporate Generative AI, Google Cloud, and APIs to deliver the best results for partners. She founded and led Healthcare vertical and interoperability efforts at Apigee and is a passionate advocate for Open Data and the use of APIs to overcome Healthcare data Silos. Previously, Aashima was head of Digital Health Incubations at Kaiser Permanente and brought several frameshifting opportunities to life. She was responsible for driving innovation through the convergence of various digital technologies, leveraging EMR (EPIC) services. Aashima brings strong technical and leadership skills and holds two patents in the field of computer applications.20100287458 ,20090299784. She serves on the board of Neogen, Molnlycke and was recognized as the Most Influential Women in Healthcare IT by HIMSS.
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
