Ian Stockwell is the senior director of analytics and research/chief data scientist at The Hilltop Institute. He and his team focus on the quantitative analysis of Medicaid, Medicare, MDS, and multiple other data sources. Ian’s specialty is creating predictive models to assess the risk of adverse events among older adults and individuals with physical disabilities. Ian has also served as a technical advisor to the Federal Coordinated Health Care Office at CMS, providing technical and programming guidance for dually eligible individuals. He has also led the collaboration with faculty at Johns Hopkins University on the implementation and evaluation of multiple clinical intervention programs. By applying sophisticated analytical methods on holistic data sets, the team helps clients build more effective and efficient health care programs. In 2014, Ian was a recipient of the Hilltop Award for Innovation for the development and implementation of a methodology to crosswalk the Maryland Department of Health’s then-current LTSS assessment tool with the new interRAI assessment tool. For eight years prior to his current position, Ian was Hilltop’s director of aging and disability studies. Before becoming director of that unit, he was a senior policy analyst who provided policy, analytical, and programming support for multiple state Medicaid initiatives. Ian earned a Ph.D. in public policy with a focus on evaluation and analytical methods from UMBC. He obtained an M.A. in economic policy analysis, as well as a B.S. in information systems and a B.S. in financial economics from UMBC.
Ian Stockwell is a 2019 grantee of the Robert Wood Johnson Foundation's Health Data for Action program, managed by AcademyHealth.