Rise

Welcome Remarks

Keynote Address: Empowering Business Transformation: Leading with AI Across Your Organization

Ken Huang, CISSP 
AI Expert, Advisor, Author, and Chair Member  
Co-Chair, AI Safety Working Groups and AI STR Working Group 

Navigating AI Adoption Challenges in Health Care

• Explore the main obstacles in adopting AI technology in healthcare, including data privacy, interoperability, and ethical considerations 

• Examine strategies for overcoming challenges related to disparate data sources and formats by investing in interoperable systems, standardized data formats, and the use of APIs for seamless data exchange 

• Gain insights into creating a strategic plan for AI implementation that addresses these challenges while maximizing the potential benefits for health plans and payers 

Moderator  

Andrew Lockhart, CEO 
Fathom 

Panelists 

Brenna Loufek, Director – AI Regulatory & Quality 
Mayo Clinic 

Laura Sheriff, Contracting Risk Adjustment Specialist 

AI Governance in Healthcare: Strategies to Manage, Decide, Test, and Validate

• Learn how to set up robust governance structures that ensure the safe and effective use of AI within healthcare organizations 

• Explore strategies for health plans and payers to make informed decisions regarding AI tool deployment, focusing on the predictability of information needs and the transparency of decision-making processes 

• Understand the importance of rigorous testing and validation methods for AI applications in healthcare to ensure they meet clinical safety standards and operational requirements 

Moderator: 

Shannon Decker, PhD, MBA, MBA, M.Ed, M.Ed, Founder & CEO  
VBC One 

Panelists:  

Khalid Turk, Chief Healthcare Info Tech Officer 
County of Santa Clara 

Mac Marlow, Chief Information Officer 
Southwestern Health Resources 

Exploring Generative AI in Health Care

• Gain a foundational understanding of generative AI technologies, including Large Language Models (LLMs) like ChatGPT, and Retrieval-Augmented Generation (RAG) 

• Learn about the potential uses of generative AI for health plans and payers, such as automating customer support, enhancing patient communication, and providing personalized health advice 

• Experience a real-time demonstration showcasing how Large Language Models can be utilized to meet specific health care needs 

Zachary Kirby, Senior Data Scientist, Advanced Analytics 
Louisiana Blue 

Jason Ouyang, Director of Analytics 
Louisiana Blue 

Dr. Sterling Thomas, Chief Scientist | Science, Technology Assessment, and Analytics 
U.S. Government Accountability Office 

Enhancing Coding and Documentation Capture with Generative AI

• Develop a comprehensive roadmap with advanced and generative AI into current documentation capture and computer-assisted coding systems, optimizing productivity while maintaining quality, financial, and denial metrics 

• Identify key use cases where large language models can effectively reduce the workload on coders, physicians, and Clinical Documentation Improvement (CDI) teams 

• Establish a robust AI governance strategy with clear guardrails to mitigate risks, track key metrics, and ensure revenue realization throughout the AI integration process 

Cassi Birnbaum, MS, RHIA, CPHQ, FAHIMA, Board Strategist, Advisor, Consultant, Educator 

How Payers Are Thinking About AI: Key Considerations and Insights

• Explore the key areas within the payer ecosystem that are most suitable for AI integration 

• Discover how payers make informed decisions when integrating AI 

• Gain insights from real-world AI use cases within the payer sector 

Jay Patel, Associate VP, Product Management 
Humana 

Transforming Member Experience with AI

• Explore how AI-driven personalization, enhanced communication, and advanced analytics are revolutionizing interactions and service delivery in member engagement 

• Learn about impactful AI use cases and hear directly from a health plan effectively leveraging AI to transform member engagement 

• Discover actionable strategies for securing leadership buy-in, optimizing governance frameworks, and practical steps to get started with AI today 

Joel Radford, Co-Founder and Managing Partner 
Engagys 

Jon Burow, Vice President, Customer Experience & Digital Transformation  
Independent Health 

Closing Remarks

Welcome Remarks and Day One Takeaways

AI and Cybersecurity Innovations

• Learn to identify and analyze specific cybersecurity vulnerabilities that arise with the adoption of AI technologies 

• Explore how to integrate AI tools into existing cybersecurity frameworks effectively 

• Gain a comprehensive understanding of the regulatory and ethical frameworks governing the use of AI in healthcare 

Maria-Kristina Hayden, Founder & CEO 
OUTFOXM 

Diana Kelley, AI Expert, Advisor, Board Member and Instructor  
Former Cybersecurity Field CTO, Microsoft  
Former Global Executive Security Advisor, IBM Security 

Revolutionizing Revenue Cycle Management with AI

• Learn how AI can be used to enhance claims processing by automating data entry, flagging discrepancies, and predicting issues  

• Explore how AI technologies can streamline revenue cycle processes, from patient registration to final billing, reducing administrative costs and improving accuracy in coding and billing 

• Gain insights into practical steps for integrating AI into existing revenue cycle management systems, including assessing organizational readiness and selecting appropriate AI tools 

Rose T. Dunn, MBA, RHIA, CPA, FACHE, FHFMA, Chief Operating Officer,  
First Class Solutions, Inc. 

Navigating Vendor Management

• Learn how to effectively identify and evaluate the specific needs and opportunities for AI within your organization  

• Gain insights into the comprehensive process of vetting potential AI vendors, focusing on criteria such as technological capability 

• Discuss the pros and cons of developing AI capabilities in-house versus outsourcing  

Laura Sheriff, Contracting Risk Adjustment Specialist 

Ethical AI in Healthcare: Ensuring Patient Safety and Personalized Care

• Explore the ethical considerations specific to AI applications in health care, emphasizing the importance of designing AI systems that prioritize patient safety 

• Learn about the risks associated with a one-size-fits-all approach to AI regulation, including potential negative effects on patient care outcomes, and discuss the need for sector-specific guidelines 

• Gain insights into how health plans and payers can advocate for and implement AI solutions that are ethically developed, focusing on enhancing patient outcomes without compromising safety or personalization 

Karen Marie Joswick, President/CEO 
Benevolence Health 

Navigating the Future of AI: Strategy and Compliance

• Develop a comprehensive AI business strategy, considering current capabilities, future goals, and the evolving regulatory landscape 

• Explore how to integrate AI to drive efficiency, improve member services, and stay competitive 

• Focus on readiness across technology, personnel, and processes to leverage AI effectively and responsibly 

Karen June Kuipers, CEO 
Incentivize Consulting Inc. 

Cassi Birnbaum, MS, RHIA, CPHQ, FAHIMA, Board Strategist, Advisor, Consultant, Educator 

Closing Remarks