This initiative is building an infrastructure for robust data analytics, and integrating and aligning federal and state data sources, to support data-driven policy decisions about Medicaid and CHIP policy and programs.
- Data analytics
- Program and policy evaluation
- Medicaid administrative claims data
- Physical and behavioral health integration
- Medicaid and CHIP
- Delivery System Reforms
- Mental Health and Substance Use
Julia Baller is a senior researcher who focuses on Medicaid policies and programs, particularly for populations with behavioral health conditions. She has expertise in using Medicaid administrative data for data analytics and policy evaluations.
Baller leads Mathematica’s work using the national Transformed Medicaid Statistical Information System Analytic Files to conduct complex data analytics for the Centers for Medicaid and CHIP Services. Currently, she leads a task monitoring the impact of COVID-19 on the Medicaid program. In this role, she also led the development of Medicaid data tools for the Centers for Medicare & Medicaid Services (CMS) Innovation Accelerator Program, which focuses on physical and behavioral health integration, substance use disorder, maternal and infant health, and beneficiaries with complex care needs.
Besides her data analytics work, Baller also has experience using Medicaid administrative data to implement quality measures and evaluate programs. She currently directs a project that is testing the feasibility of implementing quality measures within Certified Community Behavioral Health Center expansion grantees in multiple states. Previously, she led an impact evaluation of states that run Delivery System Reform Incentive Payment programs authorized via 1115 waivers, and she advised CMS on evaluation and monitoring plans for these states.
Baller’s work has been published in peer-reviewed journals, including BMC Psychiatry, Psychiatric Services, Schizophrenia Bulletin, and Autism. She holds a Ph.D. in health services research and policy from the Johns Hopkins Bloomberg School of Public Health.
Providing Business Analytics and Data Quality Development for Medicaid and CHIP Business Information Solutions (MACBIS)
Mathematica Experts Showcase MACBIS Expertise and Present on Medicaid Methods and Topics at Medicaid Enterprise Systems Conference
Mathematica experts will showcase their expertise in providing business analytics and data quality development for the Medicaid and CHIP (Children’s Health Insurance Program) Business Information Solution (MACBIS) at this year’s Medicaid Enterprise Systems Conference in Chicago.