Meeting Home Page

The Era of Workforce Digitization: How to Lean in and Embrace the AI Revolution

The AI revolution is upon us, reaching facets of our everyday lives. Health care is ripe for an overhaul; but the journey of transformation will require curious, courageous, and informed health care leaders. Together we will explore the foundational concepts of machine learning, predictive analytics, AI, and generative AI, and how those different models can be applied to workforce planning, scheduling, and staffing phases. Additionally, technological concepts and considerations will be applied to best practice examples to guide leaders with real-world considerations on how to prepare, start, and support the journey of workforce digitization in their health systems.

Learning Objectives  

• Learn the difference between machine learning models, predictive analytics, AI, and generative AI 
• Review the workforce management phases: planning, scheduling, and staffing to identify the interconnectedness of each phase and the specific actions needed in each phase to incorporate technology and the right data modeling approach
• How to prepare and begin for the AI journey by incorporating foundational planning questions and current state technological gap analysis reviews