The New AI Operating Model for Healthcare
Monday, March 9, 2026 10:45 AM to 11:15 AM · 30 min. (US/Pacific)
Level 5 | Palazzo D
AI in Healthcare Forum
Artificial Intelligence in Healthcare
Information
This session is part of the AI in Healthcare Preconference Forum and additional registration is required.
This session equips health systems with an actionable AI foundation and a practical maturity roadmap. We’ll move from use-case silos to platform thinking, explain why data readiness is often overestimated, and define Responsible AI guardrails for safe, scalable adoption. Attendees will leave with clear steps to assess maturity, prioritize investments, and operationalize a governed, extensible AI layer that works across any technology stack—accelerating clinical, operational, and patient experience outcomes.
Target Audience
AI ProfessionalChief Innovation OfficerChief Quality Officer and Chief Clinical Transformation Officer
Level
Intermediate
Format
Panel Discussion
Learning Objective #1
Evaluate organizational AI maturity using a structured assessment framework to identify gaps between use-case silos and platform-based approaches, determining priority investment areas for scalable AI adoption.
Learning Objective #2
Evaluate organizational AI maturity using a structured assessment framework to identify gaps between use-case silos and platform-based approaches, determining priority investment areas for scalable AI adoption.
Learning Objective #3
Analyze the limitations of use-case-specific AI implementations versus platform thinking approaches, distinguishing between perceived and actual data readiness to inform strategic technology decisions.
Session #
AIF-4
