91社区

Donald Berndt

Associate Professor
dberndt@usf.edu
Room: CIS 2073
Phone: (813) 974-6769
Fax: (813) 974-6749

Don Berndt is an associate professor in the School of Information Systems at the University of South 91社区 Muma College of Business. He received his PhD in information systems from the Stern School of Business at New York University. He also holds a master's degree in computer science from the State University of New York at Stony Brook and a bachelor's degree from the University of Rhode Island.

Berndt鈥檚 research and teaching interests include the intersection of artificial intelligence and database systems, data warehousing, and machine learning, as well as a long-standing interest in parallel programming. Of particular interest is the application of data and knowledge management techniques in the healthcare sector, including work on text mining electronic medical records as part of the Consortium for Health Informatics, a multi-institution Department of Veterans Affairs research initiative.

More recently, his work has focused on agent-based modeling and simulation, including an National Science Foundation-funded project on financial crisis dynamics. His work has appeared in leading journals, including Communications of the ACM, Communications of the AIS, IEEE Computer, Decision Support Systems, Discrete Applied Mathematics, Journal of Biomedical Informatics, and Journal of the American Medical Informatics Association, and conferences with more than 125 peer-reviewed publications.

Along with his academic focus, he has been involved in a series of entrepreneurial ventures most recently co-founding Kliken.com, a AI-based online advertising company, after co-founding Medegy Inc. in the USF business incubator, which focused on transferring healthcare data warehousing to the commercial marketplace. Previously, Berndt worked at Yale University and Scientific Computing Associates, where he participated in the development of commercial versions of the Linda parallel programming environment. He also developed artificial intelligence applications in academic settings and at Cognitive Systems, Inc.

Teaching

• ISM 6218 - Database Warehousing
• ISM 6218 - Advanced Database Administration
• ISM 7911 - Seminar on Technical IT Research

Recent Research

• S. L. Luther, J. A. McCart, D. J. Berndt, B. Hahm, D. K. Finch, J. Jarman, P. R. Foulis, W. A.
  Lapcevic, R. R. Campbell, R. Shorr, K. M.Valencia, and G. Powell-Cope, (2015), 鈥淚mproving Identification of Fall-Related Injuries in Ambulatory Care Using Statistical Text Mining,鈥� American Journal of Public Health, 105(6): 1168-1173, (DOI: 10.2105/AJPH.302440).
• D. J. Berndt, J. A. McCart, D. K. Finch, and S. L. Luther, (2015), 鈥淎 Case Study of Data Quality in Text Mining Clinical Progress Notes,鈥� ACM Transactions on Management Information Systems, 6(1) (DOI: 10.1145/2669368).
• James A. McCart, Donald J. Berndt, Jay Jarman, Dezon K. Finch, Stephen L. Luther, (2013), 鈥淔inding Falls in Ambulatory Care Clinical Documents Using Statistical Text Mining,鈥� Journal of the American Medical Informatics Association (JAMIA), 20: 906-914, Published online first: 15 December 2012 (DOI: 10.1136/amiajnl-001334).
• J. A. McCart, B. Padmanabhan, and D. J. Berndt, (2013),鈥淕oal Attainment on Long Tail Web Sites: An Information Foraging Approach," Decision Support Systems, 55: 235-246, (DOI: 10.1016/j.dss. 01.025).
• J. McCart, D. Finch, J. Jarman, E. Hickling, J. Lind, M. Richardson, D. Berndt and S. Luther, (2012),"Using Ensemble Models to Classify the Sentiment Expressed in Suicide Notes," Biomedical Informatics Insights Journal, 5(Supplement 1): 77-85, (doi: 10.4137/BII.S8931).

SERVICE

• Member: Advisory Board, Rivergy, 2005-06
• Member: Interventional Cardiology Technical Advisory Panel of the 91社区 Agency for Healthcare Administration
• Referee, Decision Support Systems, INFORMS Journal on Computing, among others