Isabel Platt focuses on evaluating health policies and programs aimed at promoting health equity and improving maternal and reproductive health in low-income communities.
Platt works on a maternal and reproductive health portfolio, calculating the societal costs of perinatal mood and anxiety disorders, maternal morbidity, and abortion restrictions across the country and for several states. Using these estimates, she is currently calculating the cost savings of expanding a perinatal psychiatry access program for a state partner. Platt also leads the implementation metrics analysis for the evaluation of the Maryland Total Cost of Care model, which provides incentives and supports to improve the quality of care and reduce Medicare costs across the state. Previously, Platt helped collect and report the Medicaid Core Set of quality measures to increase transparency and improve care delivery for people with low income across the country.
Before joining Mathematica in 2019, Platt worked at the Office of Inspector General at the U.S. Department of Health and Human Services. She holds an M.P.H. from the Columbia University Mailman School of Public Health and is currently pursuing her Ph.D. in health policy at the George Washington University Milken Institute School of Public Health.
This is a report on the Maryland Total Cost of Care Model, which tests whether state accountability for health care costs, quality, and population health—along with aligned provider incentives and supports—can improve health outcomes for all Marylanders while reducing Medicare spending.
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