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Brian E. Dixon, PhD, MPA

Brian E. Dixon, PhD, MPA FACMI, FHIMSS

  • Director of Public Health Informatics, Regenstrief Institute, Inc. and Indiana University Richard M. Fairbanks School of Public Health at IUPUI
  • Research Scientist, Clem McDonald Center for Biomedical Informatics, Regenstrief Institute
  • Research Scientist, William M. Tierney Center for Health Services Research, Regenstrief Institute
  • Associate Professor, Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health at IUPUI
  • Affiliated Scientist, VA HSR&D Center for Health Information and Communication

Dr. Brian Dixon’s research focuses on applying informatics methods and tools to improve population and public health. His work leverages clinical and administrative data in electronic health records to measure population health, better understand the determinants of health, examine information flow in the health system, and improve outcomes in individuals and populations. He works to design, implement, and evaluate information infrastructures as well as data quality in support of surveillance and other core functions of public health. Dr. Dixon also teaches informatics courses to future clinical and public health leaders.

In 2018, Dr. Dixon was named a Research Frontiers Trailblazer by IUPUI and elected to Fellowship within the American College of Medical Informatics (ACMI). He was previously recognized as a Forty Under 40 recipient by the Indianapolis Business Journal and as an Outstanding Investigator by the Regenstrief Institute. He is a Fellow of the Health Information Management Systems Society (HIMSS).

Dr. Dixon currently serves as Director of Public Health Informatics for Regenstrief Institute and IU Richard M. Fairbanks School of Public Health at IUPUI. He is co- principal investigator for a multi-year T15 grant funded by the US National Library of Medicine to mentor research scientists in public and population health informatics.

“While automated syndromic surveillance is on the rise, most public health departments don’t have the resources or the expertise to measure, as well as continually monitor, the quality of the growing amount of data they are receiving.”