معرفی
Hadi Kharrazi is a Professor at the Johns Hopkins Bloomberg School of Public Health in the Department of Health Policy and Management, with a joint appointment at the Johns Hopkins School of Medicine in the Section of Biomedical Informatics and Data Science. He is the co-director of the Johns Hopkins Center for Population Health IT (CPHIT), where he leads research on population health informatics, data quality, and predictive modeling.
Dr. Kharrazi earned his MD from Tehran University (2003), and his MHI and PhD from Dalhousie University (2005, 2010). His research centers on Population Health Informatics (PHI), focusing on leveraging EHRs, claims data, and social determinants to improve risk stratification and health outcomes. He has led numerous federally funded projects from NIH, AHRQ, NIMH, and FDA, particularly in suicide prevention, diabetes disparities, and frailty assessment.
His recent publications demonstrate a strong focus on integrating equity into public health dashboards, enhancing diagnostic accuracy with AI, and evaluating data quality impacts on predictive models. Themes across his work include health equity, data quality, natural language processing, and learning health systems.
- Fellow, American College of Medical Informatics (FACMI) - 2022
- Fellow, American Medical Informatics Association (FAMIA) - 2020
- Excellence in Teaching - 2018, 2020, 2022
- Technology Transfer Award - 2017 & 2019
- JHU Faculty Innovation Award - 2013
Dr. Kharrazi has advised over 100 students and mentees across MPH, DrPH, PhD, and postdoctoral programs at Johns Hopkins and other institutions. He is the director of the DrPH Informatics track and the PhD program in Health Informatics. His research has been supported by over $10 million in grants, including major projects on suicide mortality, EHR-based frailty detection, and population-level BMI trajectory modeling. He has developed national curricula for health IT and serves on editorial boards for JAMIA Open, Medical Care, and Population Health Management.
He leads the CPHIT research group, which develops and evaluates informatics tools such as the Johns Hopkins ACG system. The team emphasizes translating research into pragmatic IT solutions for population health management. Ongoing projects focus on integrating AI, social determinants, and novel data sources into predictive models.
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