As healthcare delivery models evolve to more effectively link payment to improved health care outcomes, State Medicaid programs have a strong need for new data analytics tools to help inform their decision-making. This fundamental shift from rewarding volume to rewarding value creates real opportunity for State Medicaid directors to use data in a way that makes their programs more efficient. It also pushes the analytics needs of states past descriptive analytics to evaluative and predictive analytics.
In this workshop, Mathematica data experts will share important descriptive statistics needed for state operations and oversight. Our team will also showcase evaluative and predictive analytics that are, or could be, used in policy development and implementation. Panelists will have an honest discussion about analytic needs within the states, emphasizing implementation challenges and options for overcoming them.
A variety of state data analytic projects will be discussed during this session, including:
- Risk adjustment with the Massachusetts Division of Health Care Finance and Policy
- Interactions between child welfare and Medicaid
- Medicaid enrollment and churn
- Evaluative work about interventions for pediatric case management in vulnerable populations
- Opioid hot-spotting
- Value-based purchasing