Regenstrief, IU Public Health Name Director
Brian Dixon has been named the first director of public health informatics for the Regenstrief Institute and Indiana University Richard M. Fairbanks School of Public Health at IUPUI. His position is a combined role with the Regenstrief Institute Clem McDonald Center for Biomedical Informatics, where he is a research scientist, and the IU Fairbanks School of Public Health, where he is an associate professor of epidemiology.
In his expanded role, Dixon will lead informatics researchers, technical staff, as well as undergraduate, graduate and postdoctoral students in the emerging field of public and population health informatics. He also will lead the application of informatics in public health, including surveillance, prevention, preparedness and health promotion, and engagement in the related field of population informatics, including working on information and technology issues from the perspective of groups of individuals and their interactions with the environment, work and living places.
Dixon has a Ph.D. in health informatics, a master’s degree in public affairs (MPA), and is a fellow of the American College of Medical Informatics (ACMI). He is also a research scientist with Regenstrief’s Center for Health Services Research, the Richard L. Roudebush Veterans Administration Medical Center, Indianapolis and the Center for Health Policy at the Fairbanks School of Public Health, as well as an adjunct associate professor of health informatics at the IU School of Informatics and Computing.
Dixon has conducted research supported by the Centers for Disease Control and Prevention, Agency for Healthcare Research and Quality, National Institutes of Health and the Robert Wood Johnson Foundation, among other national organizations.
He has played a key national role in projects that support interoperability standards, automated reporting of surveillance data to public health, and big data analytics in health care. Dixon’s teaching duties include courses on public health informatics, informatics evaluation methods, health information exchange, and big data/health analytics.