Fred Wolfe, MD
Clinical Professor of Internal Medicine
MD, State University of New York, 1966
Founder and Co-Director, FORWARD—The National Data Bank for Rheumatic Diseases
2001 Master – American College of Rheumatology Award
1995 – The 1995 Distinguished Rheumatologist Award – American College of Rheumatology
1992 – Clinical Professor of Family & Community Medicine, University of Kansas School of Medicine.
1989 – Clinical Professor of Medicine, University of Kansas School of Medicine.
1984 – Adjunct Professor of Nursing, Wichita State University.
1983 – Co-Director, Arthritis & Rheumatic Disease Unit, St. Francis Regional Medical Center.
1980-89 – Clinical Associate Professor of Medicine, University of Kansas School of Medicine.
1979-80 – Clinical Assistant Professor of Medicine, University of Kansas School of Medicine.
1978 – Co-Director American Rheumatism Association Medical Information System.
1975-76 – Director, Rheumatology Unit Wesley Medical Center, Wichita, Kansas.
1975-78 – Director, Veteran’s Administration Hospital Rheumatology Clinic, Wichita, Kansas.
1974 – Director, Wichita Arthritis Center, Wichita, Kansas.
1971-73 – Director, Internal Medicine Education, St. Joseph Hospital and Rehabilitation Center
1970-71 – Resident, Medicine, University of Kansas Medical Center.
1968-70 – Captain USAF MC Internal Medicine Section
1967-68 – Resident, Medicine, State University, Kings County Medical Center, New York.
1966-67 – Intern (straight medicine), State University, Kings County Medical Center, New York.
“In 1998, Dr. Wolfe established the National Data Bank for Rheumatic Diseases (NDB). This database holds information on patients who have various forms of rheumatic disease. NDB is arguably the largest, most comprehensive, and most up-to-date database of its kind in the United States. The NDB is a nonprofit organization whose funding comes mostly from independent research projects for private clients, including pharmaceutical company safety registries. The NDB has several goals: to measure the effectiveness and adverse effects of current and future therapies; to identify factors that influence and predict outcomes—including clinical, genetic, demographic, and psychosocial predictors—and to develop new assessment tools and statistical and epidemiological methods.”