Ph.D., University of Minnesota, 2010
Gregory Ramsey is an Assistant Professor in the Information Science and Systems Department in the Earl G. Graves School of Business and Management. Prof. Ramsey received a B.S. in Electrical Engineering from Duke University, an M.S. in Electrical Engineering from Georgia Institute of Technology, an MSIA from the Tepper School of Business at Carnegie Mellon University, and a Ph.D. in Business Administration (Information and Decision Sciences) from the Carlson School of Management at the University of Minnesota. He has completed a post-doctoral fellowship at the Stern School of Business at New York University.
- Decision making
- Process characterization
- Health Care Analytics
Recent Papers & Publications
Ramsey, G., Johnson, P., O'Connor, P., Sperl-Hillen, J., Rush, W., George Biltz, (2010). Identifying Physician Decision Strategies for Treating Patients with Type 2 Diabetes. American Diabetes Association 70th Scientific Session, Orlando, Florida.
Ramsey, G., Johnson, P., O'Connor, P., Sperl-Hillen, J., Rush, W., George Biltz, (2010). Computational Models for Investigating Success and Failure in Treating Patients with Type 2 Diabetes. 5th INFORMS Workshop on Data Mining and Health Informatics, Arlington, Virginia.
Ramsey, G., Johnson, P., O'Connor, P., Sperl-Hillen, J., & Rush, W. (2010). Using Functional Data Analysis to Identify Physician Decision Strategies which Lead to Better Type 2 Diabetes Patient Outcomes. 1st ACM International Conference on Health Informatics, Austin, Texas.
McCabe, R., Adomavicius, G., Johnson, P., Ramsey, G., Rund, E., William Rush, Patrick O'Connor, JoAnn Sperl-Hillen, (2008). "Using Data Mining to Predict Errors in Chronic Disease Care", Advances in Patient Safety: New Directions and Alternative Approaches. Rockville: Agency for Healthcare Research and Quality.