7:15am – 8:00am
Registration & Networking Breakfast 

8:00am – 8:15am 
Welcome & Opening Remarks 

8:15am – 9:00am
The New Healthcare AI Arms Race: Investment, Infrastructure & Commercial Models
With major tech companies and hospital systems pouring billions into AI capabilities, a new competitive landscape is emerging in healthcare. Explore how leading organizations are approaching AI infrastructure investments, talent models and commercial partnerships to position themselves for success. Our opening keynote examines:

• Current state of healthcare AI investment and infrastructure buildout
• Emerging business models and partnership structures
• Key considerations for building vs buying AI capabilities
• Strategic implications for health systems, tech companies and investors
• Critical success factors for sustainable competitive advantage 

Yauheni Solad, MD, MBA
Research Affiliate
Yale University
Chief Information and Digital Officer
Axis Clinic 

9:00am – 9:45am
AI Infrastructure & Architecture: Building for Scale
Successful AI deployment requires robust infrastructure and architecture designed for enterprise scale. This session explores key considerations in building AI-ready technology foundations. Topics to be discussed will include:

• Approaches for data architecture, computing infrastructure and integration strategy
• Evaluating build vs buy decisions and selecting technology partners
• Security, compliance and operational requirements 

Kathleen Fear, Ph.D.
Director, Data and Analytics
UR Health Lab
University of Rochester Medical Center

9:45am – 10:15am
Networking & Refreshments Break 

10:15am – 11:00am
Show Me the Money: Measuring & Maximizing AI ROI
Moving AI from innovation theater to sustainable business value requires rigorous approaches to use case prioritization, ROI measurement and value capture. This session will walk through methodologies that leading organizations have used to build the business case for AI investment. Learn frameworks for identifying and prioritizing high-value opportunities across clinical and operational domains. Discover approaches for measuring both financial impact and operational improvements. Get practical guidance on scaling successful pilots and maximizing value capture. Through real-world examples, explore how organizations have overcome common challenges in ROI measurement and business case development. Walk away with tools and templates you can apply to your own AI initiatives. 

11:00am – 11:45am
The Human Side of AI: Workforce Evolution & Change Management
The successful integration of AI requires thoughtful approaches to workforce transformation and change management. This session will explore how leading organizations are evolving their workforce models and staff roles to optimize human-AI collaboration. Through case studies, learn strategies for engaging clinicians and staff in AI adoption while addressing concerns about job displacement. Topics to be discussed will include:

• Proven approaches for upskilling staff and creating new roles to support AI implementation

• Change management, communication and training programs that drive adoption
• Frameworks for workforce planning and organizational design in an AI-enabled future 

Kristine Lee, MD
Associate Executive Director
Kaiser Permanente 

11:45am – 12:30pm
Regulatory & Legal Framework for Healthcare AI
Navigate the complex and evolving regulatory landscape for AI in healthcare, from FDA guidance to liability considerations. Topics to be discussed will include:

• Current requirements and emerging frameworks for AI oversight and compliance
• Documentation, testing and monitoring that satisfy regulatory expectations
• Liability considerations and risk mitigation strategies for AI-enabled clinical decision support
• Building compliance into your AI development and deployment processes.
• Managing regulatory risk while driving innovation 

Nora Cox
Chief Executive Officer
Texas e-Health Alliance 

12:30pm – 1:30pm
Networking Lunch 

1:30pm – 2:15pm 
AI-Enabled Clinical Documentation: Early Wins & Lessons Learned
As health systems deploy large language models for clinical documentation, important lessons are emerging about implementation approaches and success factors. Through detailed case examples, we’ll explore how organizations have successfully rolled out AI documentation tools while managing clinician adoption and workflow integration. Topics to be discussed will include:

• Strategies for vendor selection, pilot design and scaling deployment across specialties
• Measuring impact on efficiency, clinician satisfaction and documentation quality
• Overcoming common challenges around training, customization and EMR integration

Saurabh Chandra, MD
Chief Telehealth Officer
University of Mississippi Medical Center (UMMC)
Project Director
National Center of Excellence for Telehealth 

2:15pm – 3:15pm
Panel: Healthcare AI Leaders Share Implementation Success Stories & Pitfalls
Hear directly from executives who have successfully scaled AI across their organizations. This panel discussion will explore what’s worked, what hasn’t and critical lessons learned along the journey. Leaders will share insights on strategy development, use case selection, change management and measuring success. Get practical perspectives on overcoming common challenges and accelerating time to value.

Hamilton Baker, MD
Assoc Prof of Pediatrics and Public Health
Lead, Clemson-MUSC AI Hub
Medical University of South Carolina 

Valy Fontil, MD, MAS
Medical Director of Research, Family Health Centers at NYULH
Associate Director, NYU Program on Digital Health Equity
Assistant Professor of Medicine and Population Health, NYUGSoM
NYU Langone Health System 

Lisa Giocondi, MBA, RN, FACHE
Operations Manager
Department of Critical Care
Mayo Clinic 

3:15pm – 3:45pm
Networking & Refreshments Break 

3:45pm – 4:30pm
Predictive Analytics: Catching Problems Before They Happen
The future of healthcare isn’t just treating sick patients – it’s spotting trouble before it starts. Through real case studies, discover how leading organizations slashed readmissions using AI to flag at-risk patients weeks before traditional methods could catch issues. See firsthand examples of predictive tools transforming chronic disease management and resource allocation. Forget theoretical models – this session will focus on practical ways to deliver insights that clinicians actually use and trust. Whether you’re just exploring predictive analytics or scaling existing programs, you’ll walk away with proven approaches that drive both better outcomes and stronger financial performance under value-based contracts.

Karen Fortuna, PhD, LICSW
Assistant Professor of Psychiatry
Dartmouth Geisel School of Medicine 

4:30pm – 5:15pm
The Future of Healthcare AI: What’s Coming & Why It Matters
A rare glimpse into what’s next for healthcare AI from one of the industry’s most respected futurists and market analysts. Drawing from exclusive research and conversations with top innovators, this session will paint a vivid picture of how emerging technologies will reshape care delivery and business models over the next 3-5 years. You’ll discover which market shifts deserve your attention (and investment) now versus what’s just hype. Going beyond typical predictions, this session connects future tech developments to real business implications. Get practical insights on what to build, buy or partner for today to be ready for tomorrow’s opportunities.

Shekar Ramanathan
Executive Director of Digital Transformation
Atlantic Health Systems

5:15pm
Day One Concludes

7:15am – 8:00am
Networking Breakfast 

8:00am – 8:15am
Chairperson’s Recap 

8:15am – 9:00am
Beyond Image Analysis: AI’s Role in Clinical Decision Support & Care Pathways
AI is moving past traditional clinical applications into sophisticated therapy planning and care pathway optimization. Through real-world deployment examples, explore how organizations are using large language models and multimodal AI to analyze complex patient data, recommend personalized treatment paths and get therapies to market faster. See how leading health systems have achieved measurable improvements in care quality while capturing new revenue streams. Discover frameworks for evaluating clinical AI solutions and building the business case for adoption. Learn key considerations around integration, liability and clinician adoption that impact implementation success. Walk away with practical strategies for identifying high-value clinical use cases that drive both better outcomes and bottom-line results. 

Ginny Torno
Executive Director of Innovation and Clinical Systems
Houston Methodist 

9:00am – 9:45am
DeepSeek And Manus:  Future of AI In Healthcare 

Anthony Chang, MD, MBA, MPH, MS
Chief Intelligence and Innovation Officer
CHOC Children’s 

9:45am – 10:15am
Networking & Refreshments Break 

10:15am – 11:00am
AI-Powered Early Detection: From Subtle Signs to Saved Lives
Early detection can mean the difference between a routine intervention and a crisis. Dive into groundbreaking deployments where AI is spotting cancer, sepsis and clinical deterioration days before traditional screening methods. From radiology to remote monitoring, see how organizations are scaling these tools across specialties while generating ROI. Learn the realities of clinical adoption, regulatory compliance and reimbursement. Discover how to balance sensitivity and specificity while keeping doctors firmly in control of patient care.

Aalpen Patel, MD
Medical Director for AI and Chair
Department of Radiology
Geisinger Health System 

11:00am – 11:45am
Next-Gen Clinical Decision Support: From Pilot to Profit
Clinical decision support isn’t just about alerts anymore – it’s about measurable impact on patient care and the bottom line. Hear how one pioneering health system is  using AI to spot subtle patterns, guide treatment decisions and slash time-to-diagnosis. The speaker will break down the hard truth about what doctors actually want from these tools (hint: it’s not more pop-ups). Examine real rollouts that have driven both clinical improvements and new revenue. Cut through the hype and learn what it takes to turn promising pilots into sustainable, scalable success stories.

Valy Fontil, MD, MAS
Medical Director of Research, Family Health Centers at NYULH
Associate Director, NYU Program on Digital Health Equity
Assistant Professor of Medicine and Population Health, NYUGSoM
NYU Langone Health System 

11:45am – 12:30pm
Applications and ROI of AI In Medical Care for Underserved Populations 

Steve Miff, MD
President and CEO
Parkland Center For Clinical Innovation 

12:30pm
Conference Concludes

Workshop: Building Your Healthcare AI Roadmap

This workshop will provide a practical framework for developing and executing an enterprise AI strategy. Through interactive exercises and real-world examples, participants will learn proven approaches for AI implementation planning. We’ll explore methodologies for assessing organizational readiness, prioritizing use cases, building necessary capabilities and measuring success. You’ll gain hands-on experience with tools and templates for use case evaluation, ROI modeling and implementation planning. The workshop combines strategic frameworks with tactical execution guidance to help organizations move from AI aspiration to value-generating reality. Group exercises will allow you to practice applying concepts to real-world scenarios. Subject matter experts will provide guidance and feedback throughout the session. Participants will leave with concrete tools and templates to accelerate their AI journey.

Learning Objectives:

• Develop a comprehensive AI strategy and implementation roadmap aligned to organizational goals
• Create frameworks for use case prioritization and ROI measurement
• Build models for AI governance, talent and change management
• Design approaches for ethical AI deployment and risk management