Clinical and Translational Research Building
2004 Mowry Road, Suite 3241
PO Box 100219
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.
- HOP Faculty Showcase OneFlorida, New BMI Degree Programs at AMIA
- Hogan Study in Journal of Biomedical Semantics Seeks to Improve Quality of Data in Electronic Health Records
- Hogan Elected to American College of Medical Informatics
- PCORI Approves OneFlorida Clinical Data Network for Research
- HOP Faculty to Work with Medical Students in Research Program
- HOP Faculty Featured in Explore Magazine
- HOP Faculty Member Wrote Two Papers for the International Conference on Biomedical Ontology
- Statewide research consortium receives $7.9 million for research to improve patient outcomes
- Biomedical Informatics Graduate Certificate Approved
- Biomedical Informatics Expert Publishes Editorial on the Future of Big Data
- Bioinformatics Expert Joins Department of Health Outcomes and Policy
- Bioinformatics Expert Featured in UF Alumni Magazine
- UF hires bioinformatics expert
- Hogan W, Ceusters W. Diagnosis, misdiagnosis, lucky guess, hearsay, and more: an ontological analysis. Journal of Biomedical Semantics. 6 Sept 2016. DOI: 1186/s13326-016-0098-5
- Hanna J, Bian J, Hogan WR. An accurate and precise representation of drug ingredients. Journal of Biomedical Semantics, 2016;7:7. doi: 10.1186/s13326-016-0048-2. Available at: http://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-016-0048-2
- Hicks A, Hogan WR, Rutherford M, Malin B, Xie M, Fellbaum C, Yin Z, Fabbri D, Hanna J, Bian J. Mining Twitter as a first step toward assessing the adequacy of gender identification terms on intake forms. In: Proceedings of the American Medical Informatics Association Annual Symposium 2015 (November 14-18, 2015, San Francisco, California), pp. 611-620. PMCID: PMC4765681.
- Hudson CL, Topaloglu U, Bian J, Hogan W, Kieber-Emmons T. Automated Tools for Clinical Research Data Quality Control using NCI Common Data Elements. AMIA Joint Summits Translational Science Proceedings. 2014 Apr 7;2014:60-9. eCollection 2014. PMCID: PMC4333694.
- Bian, J, Xie, M, Hudson, TJ, Eswaran, H, Brochhausen, M, Hanna, J, and Hogan, WR. CollaborationViz: Interactive Visual Exploration of Biomedical Research Collaboration Networks. PLoS ONE, 2014;9(11):e111928. doi:10.1371/journal.pone.0111928. PMCID: PMC4236011. [1 citation]
- MIDAS Informatics Services Group (ISG)
- Apollo: Increasing Access and Use of Epidemic Models Through the Development and Adoption of a Standard Ontology
- 2014- Awarded tenure in the College of Medicine, University of Florida
- 2013- Plank Owner, for helping to “launch” the National Children’s Study
- 2013- Awarded tenure in the College of Medicine, University of Arkansas for Medical Sciences
- 2011- Distinguished Paper Reviewer, awarded by the Scientific Program Committee of the American Medical Informatics Association Fall Symposium
- 2009- AMDIS (Association of Medical Directors of Information Systems) Award, UPMC Interoperability Team, for Excellence, Outstanding Achievement and Special Recognition in Applied Medical Informatics
- 1996- Second place, Student Paper Competition, American Medical Informatics Association Fall Symposium, American Medical Informatics Association
- 1991- Graduated with Highest Distinction, Pennsylvania State University