Speaker Profile
M.D.,Ph.D., Professor, Chief Research Informatics Officer, UCSF
Biography
Ida Sim, MD, PhD is UCSF Professor of Medicine and Computational Precision Health, Co-Director of the UCSF UC Berkeley Joint Program in Computational Precision Health, and UCSFs first Chief Research Informatics Officer. She obtained a B.Sc. in Biology, an MD, and a PhD in Medical Informatics from Stanford. A practicing primary care physician, Dr. Sim completed her Internal Medicine internship and residency at the Massachussetts General Hospital and fellowships in General Medicine and Medical Informatics at the Palo Alto VA.Dr. Sims research focuses on technology and policies for large-scale data sharing of health data. She is Co-founder of Open mHealth, a nonprofit organization that defines the IEEE 1752 global open standard for patient-generated health data interoperability. She is also Co-Founder of Vivli, the world's largest data sharing platform for participant-level clinical trial data. Her current research centers on the JupyterHealth and CommonHealth platforms for integrating smartphone and sensor data for management of multiple chronic conditions in primary care. In prior work, Dr. Sim was the founding Project Coordinator of the World Health Organizations International Clinical Trials Registry Platform and led the establishment of the first global policy on clinical trial registration.Dr. Sim has been recognized for her contributions with membership in the National Academy of Medicine and the American Society for Clinical Investigation. She is a recipient of the United States Presidential Early Career Award for Scientists and Engineers and a Fellow of the American College of Medical Informatics. Recently, she was a lead author on a NEJM article titled The Ethics of Relational AI Expanding and Implementing the Belmont Principles.
Session Abstract – PMWC 2027 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
• Elena Ikonomovska, diadia Health
• Syed Mohiuddin, Anthropic
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Travis Zack, OpenEvidence
• 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
