Keri Calkins’s work focuses on evaluating impacts and developing quality measures, including claims-based and electronic clinical quality measures.
Since joining Mathematica in 2019, Calkins has worked on a range of projects including impact analysis for Medicare, quality measure development and testing, and data visualization. Currently, she is a task lead for a project that implements risk adjustment and updates software for the Agency for Healthcare Research and Quality’s (AHRQ) Hospital Quality Indicators, including the Patient Safety Indicators. She also serves as a task lead on projects to develop quality measures focused on topics including neurology, oncology, and infectious disease. Calkins is also a researcher on the evaluation of the Maryland Total Cost of Care Model for the Center for Medicare & Medicaid Innovation, where she assesses spending, use, health care quality, and population health outcomes. Past projects include a validity analysis of the Chronic Conditions Warehouse’s Chronic Condition algorithms and development of the grand prize-winning submission in the Visualization Resources of Community-Level Social Determinants of Health Challenge, sponsored by AHRQ.
Before joining Mathematica, Calkins completed a postdoctoral fellowship focused on differences in cancer screening and incidence by HIV status using Medicaid data. Her graduate work examined cancer outcomes, chronic disease, and viral suppression among people living with HIV. She also worked as a healthcare analyst for US News and World Report. She holds an Sc.M. and a Ph.D. in epidemiology with a focus on methodology from the Johns Hopkins Bloomberg 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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