- Medicaid data analytics
- T-MSIS Analytic Files
- Quality measures in Medicaid and CHIP
- Behavioral health
- Medicaid and CHIP
- Quality Improvement
- Population Health
Laura Nolan is a researcher with expertise in Medicaid data analytics, the Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF), and quality measurement. Focus areas for her work include behavioral health, Medicaid and CHIP (Children’s Health Insurance Program), and children’s health and well-being.
Nolan leads the annual development and publication of the congressionally mandated T-MSIS Substance Use Disorder Data Book under Mathematica’s Medicaid and CHIP Business Information System Data Analytics and Data Quality contract. She also leads work under that contract piloting the use of the TAF for calculating quality measures for the Early and Periodic Screening, Diagnostic and Treatment benefit in Medicaid and for the Adult and Child Core Set measures. Under a contract with the Department of Health Care Services in California, Nolan led the Medicaid data acquisition and assessment process for an evaluation of a Medi-Cal nutrition support program for beneficiaries with congestive heart failure. She has developed tools to identify pregnant women in the TAF and measure the quality of health care services provided to Medicaid beneficiaries with physical and mental health needs. Her efforts to use data analytics to highlight health inequalities include developing monitoring metrics for COVID-19 in the Medicaid and CHIP populations.
Before joining Mathematica, Nolan completed a summer fellowship in Data Science for Social Good at the University of Chicago and a postdoctoral fellowship at the Columbia University School of Social Work. Her research has been published in the Journal of Economic and Social Measurement, Survey Research Methods, Social Science & Medicine, the American Journal of Public Health, and Population Research and Policy Review, among other publications. Nolan holds a Ph.D. in demography and social policy from Princeton University and a M.Sc. from the Harvard School of Public Health.