Optimizing for Change: Why Your AI Isn’t Solving Your Problem
Featuring Lirio’s Chris Symons, Ph.D., Chief Artificial Intelligence Scientist, & Clayton Webster, Ph.D., Distinguished Research Fellow
The potential to democratize healthcare through Artificial Intelligence has made it a focal point of digital health and innovation. With hospitals and health systems increasingly charged with managing a broader scope of patient behavior and events like COVID-19 highlighting systematic disparities in care, AI-focused solutions are being surfaced to streamline and automate prevention and communication efforts. Too often these solutions take a hard-coded approach that lacks the ability to learn and grow or an open-source strategy that is too generic to solve for the needs of your population.
Join Lirio’s Chief Artificial Intelligence Scientist, Chris Symons, Ph.D., and Clayton Webster, Ph.D., Distinguished Research Fellow, as they review:
• The critical role of problem representation in harnessing the power of AI in healthcare
• How to consider current market options and solutions from an AI perspective
• Why behavioral science is essential to optimizing the problem AI is deployed to solve
• Why current optimization methods in reinforcement learning fail to address several challenges that must be overcome, and how Lirio is addressing this technology gap.
They will explore Lirio’s Lirio Precision Nudging™ approach to generating scalable and sustained behavior change solutions for all aspects of your organization’s population, and how to move them on their unique journey to better health.