Don't Skip Leg Day: Building Clinical Muscle in Your AI Strategy
Monday, March 9, 2026 4:15 PM to 4:55 PM · 40 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.
Healthcare organizations have been flexing their "upper body" muscles with AI implementations in revenue cycle and operations while neglecting the "legs", clinical applications that directly impact patient outcomes. This panel challenges why we're skipping leg day in healthcare AI. Speakers share successful clinical implementation case studies and proven methods for building clinician confidence in AI tools that actually improve patient care. Learn how leading organizations address the autonomy vs. accountability tension that keeps clinicians on the sidelines and discover frameworks for measuring AI's true impact on health outcomes.
Target Audience
AI ProfessionalChief Data OfficerCIO/CTO/CTIO/Senior IT
Level
Intermediate
Learning Objective #1
Analyze the disparity between operational AI success and clinical AI adoption by identifying barriers that prevent patient-focused implementations.
Learning Objective #2
Evaluate clinical AI tools and implementation methods using frameworks that measure true impact on patient outcomes and clinician confidence.
Learning Objective #3
Create strategies that balance clinician autonomy with accountability to drive meaningful AI adoption in patient care settings.
Session #
AIF-11
Speaker
Robert Purinton
Chief AI OfficerAdvent Health
Margaret Lozovatsky
Chief Medical Officer and Vice President, Digital Health InnovationsAmerican Medical Association
Kathryn King
Chief Medical Information Officer and Co-Director National Telehealth Center of Excellence MUSCMedical University of South Carolina Health