Agenda

• Understand how different sectors are interpreting recent federal signals around AI innovation, oversight, and deregulatory momentum
• Explore how leadership teams are aligning legal, compliance, and technology functions to operationalize responsible AI use
• Identify key gaps where additional policy clarity, infrastructure, or collaboration is needed to support sustainable AI adoption 

• Examine emerging AI governance models and how they align with existing health care compliance frameworks
• Identify strategies to assess, monitor, and mitigate algorithmic and regulatory risks in clinical and administrative use cases
• Explore practical steps for integrating compliance, legal, and data governance teams into AI decision-making processes 

Leading service providers will showcase their offerings in a quick-pitch setting. Evaluate the latest and greatest tech tools to bring back to your organization.

• Examine how data readiness and cloud infrastructure choices directly influence the success and scalability of AI initiatives
• Explore best practices for modernizing data pipelines, ensuring interoperability, and maintaining security and compliance in a cloud environment
• Identify strategies to align IT, data governance, and business priorities to support long-term AI adoption and innovation 

• Explore how a payer is designing and testing custom AI applications to solve business-specific challenges
• Examine key milestones and lessons learned from moving an AI project from an initial prototype to production, including collaboration with infrastructure teams
• Identify success factors for embedding AI into enterprise operations while maintaining compliance, scalability, and long-term value 

• Examine how AI is being used to identify care gaps and predict which members would benefit most from intervention
• Explore how Generative AI enables plans to “meet members where they are,” delivering context-aware, human-like support across channels and demographics
• Assess lessons learned from early implementations, including how to balance automation with the human touch to strengthen member relationships and drive engagement 

Participate in a facilitated roundtable discussion and deep dive with peers on timely topics in the industry.    

1: Rethinking Vendor Management in the Age of AI 

Discuss how to evaluate partnerships, ensure interoperability, and realign internal infrastructure to support responsible AI adoption.

2: Data Ownership and Accountability in AI Models                                                                                                                                                     

This roundtable examines the blurred lines between developers, vendors, and health systems, and what ethical and legal frameworks may be  needed to protect patients and organizations alike.

3: Building Trust: Physician Confidence in AI-Driven Decision 

Join this discussion on how to foster provider trust through explainability, education, and clinical validation—ensuring AI enhances rather   than replaces human judgment.

4: Preparing the Workforce for AI Integration 

How can health care organizations upskill, reskill, and reimagine roles to align with AI-driven workflows? Explore approaches to workforce readiness, change management, and long-term cultural adaptation.

5: Advancing AI Due Diligence and Responsible Use in Health Care 

Explore what responsible AI looks like in practice. Discussions will focus on respectful, ethical, controlled, and well-governed implementation efforts, and examine the contrast between organizations exercising due diligence versus those deploying AI without fully vetting software applications and considering risks or downstream impacts.

Leading service providers will showcase their offerings in a quick-pitch setting. Evaluate the latest and greatest tech tools to bring back to your organization.

• Identify common tensions between AI innovation and the human elements of care, including communication, trust, and empathy  
• Evaluate how AI can both enhance and inadvertently erode human connection, safety, and equity - and what safeguards can mitigate these risks
• Apply practical strategies to ensure AI supports trustworthy, relationship-centered, quality care 

• Examine how physicians are using AI to streamline administrative and clinical tasks, from visit documentation to prior authorization and appeals management
• Assess the financial and operational impact of AI tools on coding accuracy, value-based care performance, and total cost of care initiatives
• Discuss strategies for addressing physicians’ fears and resistance to AI adoption while ensuring ethical use, data integrity, and clinical confidence 

Leading service providers will showcase their offerings in a quick-pitch setting. Evaluate the latest and greatest tech tools to bring back to your organization

• Identify how AI-enabled provider submissions are changing the accuracy, frequency, and complexity of payer review processes
• Examine the financial impact of automation misalignment and its effect on payer budgets, audits, and reimbursement integrity
• Explore collaborative strategies to realign incentives, improve data validation, and manage AI-generated submissions responsibly

• Examine how organizations are balancing innovation and commercialization with patient safety, data integrity, and public trust  
• Discuss how to manage risk, strengthen governance, and ensure responsible oversight as AI expands from virtual tools to physical automation in care delivery
• Identify strategies to foster innovation responsibly, embracing progress while preventing the reputational pitfalls that can result from unchecked AI use