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.
- Systems design
- Task automation
- Section 508 compliance
- Comparative effectiveness research
- Primary care
- Medicaid Analytic eXtract (MAX) data production
- Medicaid and CHIP
Kerianne Hourihan has extensive experience providing systems design, leadership, and programming for health research and has developed new techniques and tools for large-scale reporting, data quality checks, task automation, and Section 508 compliance.
Since joining Mathematica in 2008, Hourihan has worked on a variety of health research projects. She was a task leader and systems analyst for a study that supported comparative effectiveness research for Medicaid and the Children’s Health Insurance Program. Among her current projects, she leads Medicaid data processing for an evaluation of primary care redesign programs conducted for the Center for Medicare & Medicaid Innovation. Hourihan provided statistical analysis system programming to calculate and analyze program impacts on readmissions among Medicare beneficiaries for the Partnership for Patients evaluation. She also leads the programming for the creation of MAX data (Alpha-MAX) files, which contain annual, person-level data on Medicaid eligibility, service utilization, and payments derived from the Medicaid Statistical Information System files submitted by the 50 states and the District of Columbia. The MAX data are tailored to each state’s program needs, and Mathematica’s work ensures that federal and state governments, as well as other research organizations, can use the files to produce a national picture of the health care system.
Hourihan holds a B.Sc. in economics and a B.A. in urban studies from the University of Pittsburgh.
Providing Business Analytics and Data Quality Development for Medicaid and CHIP Business Information Solutions (MACBIS)