Gregory   Ramsey

Assistant Professor
Ph.D., University of Minnesota, 2010

 

DOWNLOAD RESUME

Biography
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.


Research Interests

  • 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.