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The Hilltop Institute


June 17, 2020

Hilltop Researcher to Predict Individuals’ Risk of Hospitalizations from COVID-19

Hilltop Senior Data Scientist Fei Han, PhD, has been awarded funding for a proposal titled Reducing Patient Risk through Actionable Artificial Intelligence. The project is funded by the National Institutes of Health through the University of Maryland Baltimore (UMB) Institute for Clinical & Translational Research (ITCR), one of only two grants won by UMBC researchers in this competition. Dr. Han will further develop the Hilltop Pre-AH Model™ event prediction algorithms to estimate individual-level risks of hospitalization due to COVID-19 and other communicable diseases for Medicare fee-for-service (FFS) beneficiaries across the state of Maryland. This predictive model will serve as a tool to help health care providers prospectively identify individuals at risk of hospitalization for the current and future pandemics. Dr. Han’s research team includes Hilltop Chief Data Scientist Ian Stockwell, PhD; Senior Data Scientist Morgan Henderson, PhD; Professor Lucy Wilson, MD, UMBC Department of Emergency Health Services; and Assistant Professor Zachary Dezman, MD, Department of Emergency Medicine and Epidemiology, University of Maryland School of Medicine.

The Hilltop Institute is a nonpartisan research organization at the University of Maryland, Baltimore County (UMBC) dedicated to improving the health and wellbeing of people and communities. We conduct cutting-edge data analytics and translational research on behalf of government agencies, foundations, and nonprofit organizations to inform public policy at the national, state, and local levels.

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