Program Administration
Core Faculty
Health Education Concentration
Leadership Concentration
- Brammer, Craig
- Diers, Tiffiny
- Doarn, Charles
- Embi, Peter J.
- Gates, Donna
- Graham, Robert
- Henney, Jane
- Kiesler, Joseph
- Mase, William
- Montauk, Susan
- Myers, Melanie
- Savage, Christine
- Schubert, Charles
- Simpson, Lisa
- Vaughn, Lisa
- Wilson, Stephen E.
- Szaflarski, Magdalena
Practicum & Capstone
Administrative Services
Information Technology
Associates and Researchers
- Brunner, Hermine
- Cornwall, Danielle
- Cotton, Sian
- Drotar, Dennis
- Eckman, Mark H.
- Elder, Nancy
- Guo, JianFei
- Heaton, Pam
- Jacobson, C. Jeffrey, Jr.
- Kissela, Brett
- Kudel, Ian
- Lewis, Timothy J.
- Ludke, Robert L.
- Malat, Jennifer
- Page, Stephen J.
- Schauer, Daniel P.
- Thakar, Charuhas V.
- Tsevat, Joel
- Webb, Thomas S.
- Weber, Debbie
- Wess, Mark L.
- Wise, Ruth
- Yi, Michael
Return to the faculty group photograph
|
|
Mark H. Eckman, MD, MS
Research Scientist 3
Professor of Medicine
Mark.Eckman@uc.edu
513.558.7581
|
For the past twenty-two years, Dr. Eckman has followed his passion as a general internist and a decision scientist, first as an active member of the Division of Clinical Decision Making at the Tufts University School of Medicine and the New England Medical Center (1984-1999) and more recently as Director of the Center for Clinical Effectiveness in the Institute for the Study of Health at the University of Cincinnati Medical Center (1999 - present). While at Tufts, Dr. Eckman also served as Division Director of General Internal Medicine (1996-1999), and as President of the Medical Staff of the New England Medical Center (1996-1998). Dr. Eckman is also a past President of the Society for Medical Decision Making (1999-2000).
As both a researcher and a clinician, Dr. Eckman's interests lie in combining both clinical and theoretic applications of decision analysis to the care of individual patients and to broader issues of health policy. In particular, his methodological interests have included the application of artificial intelligence techniques to decision analysis, cost-effectiveness analysis, the development of patient-specific decision support tools, and the continued study and development of new decision analytic methods.
|
|
|