View Past Agenda | AI in Health Care Summit | A RISE Health Conference

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The AI in Health Care Summit
February 27-28, 2024
Virtual

Past Agenda

 

 

 

Tuesday - February 27, 2024

11:00 AM 11:10 AM

10:00 AM 10:10 AM

9:00 AM 9:10 AM

8:00 AM 8:10 AM

Chairperson’s Opening Remarks

Shannon Decker, Risk Adjustment Specialist 
VBC One

11:10 AM 11:50 AM

10:10 AM 10:50 AM

9:10 AM 9:50 AM

8:10 AM 8:50 AM

Keynote Remarks Hype Vs. Reality: AI 101 for Health Care

  • What is Artificial Intelligence and the various applications in Health care  
  • Review critical terminology i.e. Machine Learning, Generative AI, Computer Vision  
  • Assess potential pitfalls and opportunities when utilizing AI 

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

 

11:50 AM 12:00 PM

10:50 AM 11:00 AM

9:50 AM 10:00 AM

8:50 AM 9:00 AM

Break

12:00 PM 12:45 PM

11:00 AM 11:45 AM

10:00 AM 10:45 AM

9:00 AM 9:45 AM

Embracing Change: New Era of Collaboration

  • Embrace AI within your organization  
  • Explore essential AI technologies reshaping health care  
  • Learn how to integrate AI-based tools to elevate team performance 

Sareer Zia, CEO
Virtual Hospitalist

12:45 PM 12:55 PM

11:45 AM 11:55 AM

10:45 AM 10:55 AM

9:45 AM 9:55 AM

Break

12:55 PM 1:40 PM

11:55 AM 12:40 PM

10:55 AM 11:40 AM

9:55 AM 10:40 AM

Implementing Adoption: Why Data Management is Critical

  • Ensure your data is accurate and ready for AI usage  
  • Minimize potential challenges with data collection 
  • Evaluate AI’s interpretation of your dataset  

Shannon Decker, Risk Adjustment Specialist
VBC One

1:40 PM 1:50 PM

12:40 PM 12:50 PM

11:40 AM 11:50 AM

10:40 AM 10:50 AM

Break

1:50 PM 2:35 PM

12:50 PM 1:35 PM

11:50 AM 12:35 PM

10:50 AM 11:35 AM

Generative AI: Exploring Utilization and Application

  • Explore how Generative AI generate content such as images, text, and sound 
  • Examine the transformational benefits of Generative AI  
  • Discover possible misinterpretations due to Hallucinations  

Rahul Kashyap, Medical Director Research
WellSpan Health

Harpreet Singh Grewal, Assistant Professor of Radiology/Attending Radiologist
Florida State University Medical School/ Sacred Heart Hospital  

2:35 PM 2:45 PM

1:35 PM 1:45 PM

12:35 PM 12:45 PM

11:35 AM 11:45 AM

Break

2:45 PM 3:30 PM

1:45 PM 2:30 PM

12:45 PM 1:30 PM

11:45 AM 12:30 PM

Realtime LLM and ChatGPT Demonstration

  • Understand Generative Pre-Trained Transformers (GPT) and Large Language Models (LLMs) 
  • Explore live use cases on how LLMs can improve patient care  
  • Live demonstration utilizing Chat GPT / LLM for health care needs 

Piyush Mathur, MD, FCCM, Staff Anaesthesiologist and Critical Care physician
Cleveland Clinic

3:30 PM 3:40 PM

2:30 PM 2:40 PM

1:30 PM 1:40 PM

12:30 PM 12:40 PM

Break

3:40 PM 4:25 PM

2:40 PM 3:25 PM

1:40 PM 2:25 PM

12:40 PM 1:25 PM

Panel: Who is responsible? Where AI should sit in your organization

  • Review lines of business that should be involved in implementation  
  • Collaborating with IT, Compliance, Data/ Analytics, Physicians, Operations 
  • Evaluate appropriate governance for AI measures 

Daniel Chertok, Senior Data Scientist – Data Analytics, Information Technology
Endeavor Health 

Daniel Zikovitz, Director of Digital Innovation & AI
GE Healthcare

4:25 PM 4:30 PM

3:25 PM 3:30 PM

2:25 PM 2:30 PM

1:25 PM 1:30 PM

Chairperson’s Closing Remarks

Shannon Decker, Risk Adjustment Specialist 
VBC One

Wednesday - February 28, 2024

11:00 AM 11:10 AM

10:00 AM 10:10 AM

9:00 AM 9:10 AM

8:00 AM 8:10 AM

Chairperson’s Opening Remarks

Nikki Hungate, Medicare & Gov't Programs Senior Leader

11:10 AM 11:50 AM

10:10 AM 10:50 AM

9:10 AM 9:50 AM

8:10 AM 8:50 AM

How to Create an In-House AI Predictive Model

  • Prepare clinical data for building a machine learning model 
  • Evaluate steps for automation in the analysis pipeline 
  • Ensure acceptance with clinicians and other stakeholders 
  • Review best practices for testing and validating your modeling software 

Juliane Mantz, Associate Director, Biostatistics Oncology
EMD Serono, Inc 

11:50 AM 12:00 PM

10:50 AM 11:00 AM

9:50 AM 10:00 AM

8:50 AM 9:00 AM

Break

12:00 PM 12:45 PM

11:00 AM 11:45 AM

10:00 AM 10:45 AM

9:00 AM 9:45 AM

Vendor Selection & Management Prospects

  • Evaluate the pros and cons of building in-house models vs. outsourcing 
  • Determine needs and opportunities within your organization 
  • Explain to shareholders why your organization would benefit from AI  

Jack Holloway, Manager of Data Science
Blue Cross and Blue Shield of Louisiana

Laura Sheriff, Vice President, Risk Adjustment
SWHR Risk Department

12:00 PM 12:55 PM

11:00 AM 11:55 AM

10:00 AM 10:55 AM

9:00 AM 9:55 AM

Break

12:55 PM 1:40 PM

11:55 AM 12:40 PM

10:55 AM 11:40 AM

9:55 AM 10:40 AM

Applications of AI to Drive Member Engagement

  • Identify aspects of member engagement that can be improved via AI today 
  • Examine available AI tools in market driving improved engagement today 
  • Explore obstacles to successful deployment and how to overcome them 
  • Review framework for getting started with AI to drive engagement

Joel Radford, Cofounder and Managing Partner
Engagys

 

 

1:40 PM 1:50 PM

12:40 PM 12:50 PM

11:40 AM 11:50 AM

10:40 AM 10:50 AM

Break

1:50 PM 2:35 PM

12:50 PM 1:35 PM

11:50 AM 12:35 PM

10:50 AM 11:35 AM

Ethical & Responsible AI in Healthcare

  • Examine how bias in AI affects health care decision making  
  • Measure and Mitigate Bias in AI    
  • Explore real life use cases in health care AI with practical solutions 

Ankit Virmani, Solutions Architect: Cloud and Data Engineering
Google

Pravat Rout, CEO
Inovaare

2:35 PM 2:45 PM

1:35 PM 1:45 PM

12:35 PM 12:45 PM

11:35 AM 11:45 AM

Break

2:45 PM 3:30 PM

1:45 PM 2:30 PM

12:45 PM 1:30 PM

11:45 AM 12:30 PM

Case Study: Overview of the AI Product Lifecycle

 

  • Evaluate the steps of the AI Lifecycle from Problem Scoping to MLOps 
  • Address potential challenges and solutions using a real-world example 
  • Obtaining FDA approval for medical devices    

Shubham Suresh Patil, Staff Deep Learning Engineer
Stryker

3:30 PM 3:40 PM

2:30 PM 2:40 PM

1:30 PM 1:40 PM

12:30 PM 12:40 PM

Break

3:40 PM 4:25 PM

2:40 PM 3:25 PM

1:40 PM 2:25 PM

12:40 PM 1:25 PM

Panel: On the Horizon: What to expect from AI moving forward

  • Review President Biden’s Executive AI Order and implications 
  • Evaluate the the National Institute of Standards and Technology (NIST) AI Risk Management Framework 
  • Establish your AI business strategy 
  • Ensure readiness, anticipating potential issues and risk mitigation   

Mac Marlow, Chief Information Officer
Southwestern Health Resources

Brenna Loufek, Regulatory Affairs Manager
Mayo Clinic

Phil Kim, Partner
Sheppard Mullin Richter & Hampton LLP

4:25 PM 4:30 PM

3:25 PM 3:30 PM

2:25 PM 2:30 PM

1:25 PM 1:30 PM

Chairperson’s Closing Remarks

Nikki Hungate, Medicare & Gov't Programs Senior Leader

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