- Health policy
- Program and policy evaluation and design
- Causal inference
- Data science
- Cost and access to care
- Population Health
- Medicaid and CHIP
- Delivery System Reforms
Jason Rotter’s research focuses on the quantitative assessment of programs and policies designed to improve care delivery, reduce cost, or increase the quality of health care. His work combines economics, statistical inference, and data science methods to evaluate innovative programs, with a special interest in the Medicare and Medicaid populations and the chronically ill.
Rotter has recently supported several aspects of the Independence at Home Demonstration, with a specific focus on the evaluation of its impact on cost and health outcomes. He is also working to evaluate the impact of the Maryland Total Cost of Care demonstration, a statewide initiative testing the implementation of global budgets (among other innovative payment models) and the Primary Care First demonstration, a new national payment model for primary care physicians, led by the Centers for Medicare & Medicaid Services Innovation Center.
Before joining Mathematica, Rotter served at the Patient-Centered Outcomes Research Institute, where he helped to advance methods initiatives and to support the development of a national patient-centered data research network. Rotter’s work has been published in peer-reviewed journals, including Health Services Research, JAMA Oncology, and Annals of Internal Medicine. He holds a Ph.D. in health policy from the University of North Carolina at Chapel Hill.