How Data and Technology can Improve Medicaid Programs
More than 80 million Americans are enrolled in Medicaid, making it the single largest source of health care coverage in the nation. The scope of the program, and its focus on low-income individuals, provides a unique opportunity to advance health equity through good governance and a data-driven approach to oversight. State and federal agencies that partner to run Medicaid are investing significantly in data systems and technology infrastructure that can support real-time program monitoring, which can drive improvements for the people they serve and help realize the program’s potential. In a policymaking environment where technology is essential, we need to understand how to use data and tools to best keep our agencies running efficiently and implement public policy that’s enabled by this technology.
In this webinar, our panelists show how digital transformation and technology improves Medicaid and, ultimately, provides better outcomes for those who use it. We explore what is currently being done to build monitoring and oversight systems while showcasing tools and practices led by researchers and data scientists at Mathematica. Topics include efforts to improve state data quality and how to use analytic models and interactive data visualization to help policymakers and administrators improve their current programs.
Speakers include:
- John Schmitt (Moderator), Senior Director of Health Analytic Systems and Technology, Mathematica
- Paul Messino, State Medicaid Area Director, Mathematica
- Aaron Seib, Senior Vice President, Strategy and Innovation, NewWave
- Chris McInnish, Researcher, Mathematica
- Chris Mink, Reporting Analyst, Commonwealth of Massachusetts
