Biography

Dr. Prerna Dua is a Professor in the Department of Biomedical and Health Informatics at the University of Missouri–Kansas City and holds fellowship in American Medical Informatics Association. Her research focuses on developing and applying computational and machine learning methods to analyze large-scale healthcare data for predictive modeling, clinical decision support, and population health improvement. She leads interdisciplinary projects in maternal health, chronic disease outcomes, and health disparities, with particular emphasis on explainable AI, fairness, and translational impact. A consistent theme throughout her work is the integration of machine learning with large-scale health datasets while addressing issues of imbalanced representation. She has been actively funded by NIH, HRSA, Louisiana Board of Regents and Louisiana Department of Health. She has served as a reviewer for NSF grants and for multiple journals.  In addition to leading research efforts, she has effectively managed project administration, including staffing, research compliance, and budgeting, and has collaborated with multidisciplinary teams to disseminate findings through peer-reviewed publications.

Dr. Dua serves as a peer reviewer for Health Informatics program and is a member of Health Informatics Accreditation Council (HIAC) at the Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM). She’s an active member of AMIA and chaired the Women in AMIA Mentoring and Networking committee.

In her previous position at Louisiana Tech University, she served as a Program Director for the Master’s in Health Informatics program and led it through the initial CAHIIM accreditation. She also developed a certificate program in Health Informatics.

Website: Google Scholar