Generative AI and Data in Value-Based Payment Models

Value-based payment models have become increasingly important across healthcare as tools for reducing costs and improving the quality of care that patients receive. Many of these models have been the focus of large-scale experiments and require the use of large, data complex systems. Robin Weinick, Principal of Resonant, LLC, Aneesh Chopra, Chief Strategy Officer at Arcadia, and Don Simpson, Director at Guidehouse, discuss issues associated with data and AI in value-based models. 

Robin Weinick, PhD, Principal, Resonant, LLC
Robin brings three decades of experience working to improve U.S. healthcare system. In her current role as Principal of Resonant, LLC, she works with a wide variety of healthcare executives from diverse organizations, supporting them as a facilitator, executive coach, and consultant.

Aneesh Chopra, Chief Strategy Officer, Arcadia
Aneesh served as the first U.S. Chief Technology Officer under President Obama (’09-’12) and in 2014, authored, “Innovative State: How New Technologies can Transform Government.” He serves on the Board of the Health Care Cost Institute, the New Jersey Innovation Institute, and earned his MPP from Harvard Kennedy School and BA from The Johns Hopkins University.

Don Simpson, Director, Guidehouse
Don brings more than 20 years of experience providing management consulting to the federal government and private sector. He currently guides project delivery at the Centers for Medicare & Medicaid Services (CMS), as well as drives business growth in the public health and commercial health markets. His expertise includes program/project management, digital services, strategy, performance management, process improvement, risk management, internal control, and information technology assurance.