Olga V. Kravchenko, PhD

Dr. Olga V. Kravchenko is an Assistant Professor in the Department of Family Medicine at the University of Pittsburgh School of Medicine, with secondary appointments in the Department of Biomedical Informatics (DBMI) and the Clinical and Translational Informatics Institute (CTSI). She is also a Core Faculty member of the Biomedical Informatics Training Program. Her research focuses on artificial intelligence, machine learning, and biomedical informatics in family medicine and primary care. She develops and evaluates practical approaches to clinical decision support and predictive modeling using EHR and other large-scale health data, with particular attention to real-world implementation, health equity, and the ethical use of AI. She has extensive experience conducting clinical and translational research with national and federated data resources, including NIH All of Us, FAERS, PACE and ENACT. A central principle of her work is that AI should serve the needs of patients and clinicians and fit naturally into clinical care.