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.
- Designing, developing, testing, and implementing high quality performance management systems
- Synthesizing technical information from complex systems
- Producing concise recommendations to guide federal management oversight of states and grantees
- Medicaid data quality and analytics
- Systems testing design and implementation
- Test data automation
- Affordable Care Act and Healthcare.Gov
- Business process modeling
- Data Analytics
- Medicaid and CHIP
William Borden oversees the design, development, testing, and implementation of high quality performance management systems. He has close to three decades of experience in managing federal reporting systems, synthesizing technical information from complex systems, and producing concise recommendations to guide federal management oversight of states and grantees.
Borden's ability to blend knowledge of federal policy objectives with systems analysis and design skills helps federal clients develop efficient and high quality performance, reporting, and data validation systems. He developed a sophisticated and rigorous formal methodology to design, document, and manage national federal reporting systems that is used in all data and program management projects.
Borden has designed and implemented large federal reporting systems for the Centers for Medicare & Medicaid Services, including a master data management pilot and ongoing technical assistance in support of a Medicaid and Children's Health Insurance Program information management strategy. For the U.S. Department of Labor, Employment and Training Administration, he oversaw the design and implementation of performance reporting and data validation systems for the Unemployment Insurance program, Workforce Investment Act, Labor Exchange, Trade Adjustment Assistance Act, Senior Community Services Employment Program, and National Farmworkers Job Program. These systems are designed to meet agency Government Performance and Results Act goals as well as Office of the Inspector General and Government Accountability Office recommendations and requirements for performance measurement and data quality. For the U.S. Department of Education, he redesigned the reporting system for the Vocational Rehabilitation Program and also designed and implemented reporting systems for state Temporary Assistance for Needy Families performance reporting systems
Borden, who is a member of the American Society for Quality, holds a Ph.D. in American history from the University of Wisconsin-Madison and is a certified software quality engineer.
Providing Business Analytics and Data Quality Development for Medicaid and CHIP Business Information Solutions (MACBIS)
Data Requirements Testing and Integration Engineering for Federal Health Insurance Exchanges
For the health insurance exchanges required under the Affordable Care Act, Mathematica developed tools to generate test data for all federal and state partners for different types of system testing and calculate the expected results for these data.
Common Data and Measurement Standards Enhance a Program to Help Low-Income, Low-Skilled Seniors Find Jobs
Mathematica’s Data Analytics staff helped design, develop, and support a case management, reporting, and performance measurement system to monitor effectiveness of training for low-income adults 55 or older who are unemployed and have poor employment prospects.