Generative AI for Healthcare Agenda

Registration, Breakfast and Networking

Chair’s Opening Remarks & Setting the Scene

Carolyn Kwak-Glass, MD, PhD. Co-Director of the Division of Artificial Intelligence and Computational Pathology, Duke University Health System

Generative AI 101: Payer and Provider Need-to-Knows

Keynote Presentation: Generative AI and Healthcare: Purpose and Promise

• A deep dive into what generative AI is and what this means for healthcare,
• Identifying the purpose and promise of generative AI in healthcare,
• Examining the latest developments in the integration of generative AI into healthcare provider workflows in the current year.

Aalpen Patel, Medical Director for Artificial Intelligence, Geisinger and Steele Institute for Health Innovation

Keynote Panel with Open Q&A: Generative AI and Healthcare: Are They Ready For Each Other?

This Keynote Panel explores the immense influence of generative AI in various industry sectors, with each stakeholder highlighting its primary impact. Panelists will also assess early-stage applications in healthcare, exploring their success stories and barriers. Make sure you engage in the Open Q&A at the end of the discussion, to have your burning questions answered!

• Where do the key stakeholder groups on this panel see the biggest long-term impacts of generative AI in their industry? Each panelist shares an insight.
• Where are the current early-stage examples of generative AI integration into the healthcare industry, and are these success stories? 
• Identify the key bottlenecks that are slowing the speed of innovation and adoption of generative AI in healthcare currently?
• How can we address and mitigate the risks associated with the use of generative AI in healthcare, particularly in the context of patient care?
• What is the importance of partnerships in scaling generative AI across healthcare, and how can we better leverage these to drive innovation?

Moderated by: Carolyn Kwak-Glass, MD, PhD. Co-Director of the Division of Artificial Intelligence and Computational Pathology, Duke University Health System
Sumeet Chugh, Director, Division of Artificial Intelligence in Medicine, Cedars Sinai Health System
Jana Gunn, MS. Senior Director, Advanced Analytics and Data Science, Blue Cross Blue Shield of Minnesota
Sandy Aronson, ALM, MA. Executive Director of Information Technology, Mass General Brigham Personalized Medicine

Morning Refreshments & Networking

Optimizing Care Delivery and Tackling Pain Points for Health Plans and Providers

Speed Networking

Grab yourself a refreshment and get ready for speed networking. This session is designed to connect you with key payer, provider, policy, pharma and innovative, generative AI company stakeholders, so have your answers ready for the following questions and spend time with each group before moving on to a new group of faces:

• Your name, organization and role
• A brief intro to your organization 
• A brief example of how your organization is leveraging generative AI, and the challenges you face.

Remember to exchange those business cards and follow up on those warm connections later in the day!

Presentation: The AI-Powered Revolution in Behavioral Health

Despite its importance to our society’s well being, Behavioral Healthcare has often been left behind as technology has advanced. Generative AI is changing that. In this session, we’ll share real-world examples of how behavioral health organizations are deploying AI today and discuss implications for the future.  

Attendees will:

• Understand the landscape of AI applications in behavioral health
• Understand top challenges for behavioral health organizations and health plans that are driving them toward AI-powered solutions 
• Apply lessons learned to your own organization

Kathleen McAnney, Senior Director of Partnerships, Eleos Health

Case Study: The Future Front Door of Care: How Generative AI Will Impact Primary Care Physicians

Steven Lin, Executive Director – Stanford Healthcare AI Applied Research, Stanford University

Panel with Open Q&A: Exploring the Potential: Can Generative AI Confront Healthcare’s Core Challenges?

This panel explores the potential of generative AI to address critical healthcare challenges, including access, health equity, cost, patient outcomes and workforce burnout. It also questions the realism surrounding generative AI expectations and highlights the ethical considerations in its deployment.

• How could generative AI address the critical challenges within the healthcare landscape, right now?
• Amidst the generative AI hype, are we being realistic with what generative AI can and can’t do for healthcare?
• What key ethical considerations should be taken into account when deploying generative AI in healthcare?
• How can healthcare organizations effectively utilize generative AI to address workforce burnout and staffing challenges, to ensure sustainable care delivery?

Moderator: David Mou, Chief Executive Officer, Cerebral
Mike Harmer, Vice President of Workforce Intelligence and Talent, Intermountain Healthcare
Steven Lin, Executive Director – Stanford Healthcare AI Applied Research Team, Stanford University
Jason J. Parent, MSN, APRN, FNP-C. Director of Clinical Innovation, Point32Health

Lunch

Using Generative AI to Accelerate the Future of Healthcare

The Promises and Perils of Generative AI in Transforming Behavioral Health Delivery

• Explore both the risks and opportunities of using AI in healthcare.
• An overview of how physicians and patients will harness generative AI looking to the future, and how this will improve population health outcomes.

David Mou, Chief Executive Officer, Cerebral

Case Study: Leveraging Generative AI to Accelerate Precision Medicine

• A deep dive into the how generative AI is enhancing precision medicine,
• Identifying the key hurdles to the use of generative AI in personalized medicine.
• A look into the benefits this will have on population health following greater adoption of Generative AI by health systems.

Shameer Khader, Executive Director, Global Head of Data Science, Data Engineering and Computational Biology, Sanofi

Afternoon Refreshments & Networking

Panel with Open Q&A: Leveraging Governance vs. Blind Decision Making – How to Ensure the Ethical Integration of Generative AI in your Health Plan and Clinic

As healthcare continues to navigate the adoption of generative AI technologies, unprecedented, yet crucial, discussion surrounding: liability for model outputs, data privacy and regulation arise. This panel discussion will delve into these topics and explore how we can ensure the ethical integration of generative AI into payer and provider workflows, while prioritizing patient interests.

• How are your organizations leveraging generative AI right now, and what are your primary focuses? Each panelist shares a perspective.
• How can we thoughtfully adopt generative AI into healthcare and what would this mean in practice?
• What are the different types of bias, and how can we ensure that machine learning does not exacerbate health disparities?
• What is the importance of continuous governance in the use of generative AI in healthcare settings, and how can we better facilitate this?  
• Who will accept liability and responsibility for the outputs of generative AI models in healthcare, and who is at fault if something is incorrect?

Moderated by: Remle Newton-Dame, Associate Vice President of Healthcare Analytics, NYC Health + Hospitals
Shahidul Mannan, Chief Data Officer, Bon Secours Mercy Health
Girish Nadkarni, Chief, Division of Data Driven and Digital Medicine (D3M), Mount Sinai Health System
Katherine Gergen Barnett, MD. Vice Chair of Primary Care Innovation and Transformation, Boston Medical Center

Chair’s Closing Remarks

Carolyn Kwak-Glass, MD, PhD. Co-Director of the Division of Artificial Intelligence and Computational Pathology, Duke University Health System

End of the Generative AI for Healthcare Summit