2018 international conference san antonio
Session 7 – Hong Kan – Evaluating the Impact of Prescription Fill Rates on Risk Stratification Model Performance
Evaluating the Impact of Prescription Fill Rates on Risk Stratification Model Performance
Hong J. Kan, PhD, MPP, MA
Johns Hopkins School of Public Health
Center for Population Health Information Technology
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Hong Kan, PhD, MA, MPP is an associate scientist in the Department of Health Policy and Management at Johns Hopkins Bloomberg School of Public Health and a core faculty member at CPHIT. He has a background in health services research, statistics, and machine learning. Before joining Johns Hopkins, he had over a decade of outcomes research experience in the managed care and pharmaceutical industries. His primary research interests lie in outcomes research, health economics, risk adjustment, and related methodologies including predictive analytics and causal inference. He brings academic research and methodological expertise along with broad industry research experience and real-world perspectives.
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