PO Box 100219
2004 Mowry Road
Gainesville, FL 32610-0219
- Director of Biomedical Informatics, Clinical and Translational Science Institute
- M.S., Intelligent Systems, University of Pittsburgh
- M.D., Jefferson Medical College, Philadelphia, PA
- B.S., Science, The Pennsylvania State University
Dr. Hogan is a Professor in the College of Medicine, Department of Health Outcomes and Policy at the University of Florida. He is also Director of Biomedical Informatics for the Clinical and Translational Science Institute and Director of Informatics for the OneFlorida Network, a statewide collaboration of three universities and healthcare providers that brings research findings from labs and other clinical settings to more than 9 million patients in all of Florida’s 67 counties. To these endeavors, he brings over 15 years of experience in building and implementing large informatics systems, including the National Retail Data Monitor for early detection of outbreaks from point-of-sale data on over-the-counter healthcare products and the Comprehensive Research Informatics Suite for the National Children’s Study and research at academic health centers and in the community.
Dr. Hogan received his M.D. from Jefferson Medical College in 1993, after which he completed a residency in Internal Medicine at the University of Pittsburgh in 1996. He then enrolled in the Medical Informatics training program at the University of Pittsburgh, earning an M.S. in Intelligent Systems and Medical Informatics certificate in 1999. Since then he was worked for healthcare providers implementing electronic health records and tying together disparate systems, for industry, and in academic biomedical informatics.
Dr. Hogan has expertise in clinical informatics, public health informatics, biosurveillance, electronic health records, clinical decision support, research informatics, and data standards in clinical, research, and public health information systems. His current research studies how formal ontology can improve reuse of information and enable the construction of larger systems and datasets to improve patient care, research, public health, and education. He also has experience in the study of data and algorithms for early case and outbreak detection in infectious disease.