Director, Clinical Informatics Center of Excellence; Mary Hillegass Chair in Informatics & Decision Support
Director, Clinical Informatics Center of Excellence
Mary Hillegass Chair in Informatics & Decision Support
Office: Institute for Rehabilitation Science and Engineering, Room 6004B
Institute for Rehabilitation Science and Engineering
Madonna Rehabilitation Hospital
5401 South Street
Lincoln, NE 68506
Bill Shuart, Ph.D. is the Director of the Clinical Informatics Center of Excellence and the Mary Hillegass Chair in Informatics and Decision Support at Madonna Rehabilitation Hospital. Dr. Shuart earned his Ph.D. in Clinical Psychology from the University of Nebraska. He holds adjunct faculty status in the Department of Psychology at the University of Nebraska-Lincoln. Dr. Shuart's research and clinical interests include rehabilitation psychology, neuropsychological rehabilitation, and interdisciplinary team decision making in rehabilitation. His current focus is on development and implementation of computer-based decision support systems in rehabilitation, including probabilistic modeling and simulation. Dr. Shuart is currently a member of the American Psychological Association, National Academy of Neuropsychology, Nebraska Psychological Association, American Congress of Rehabilitation Medicine, American Medical Informatics Association.
- Ph.D. Clinical Psychology (1985) University of Nebraska, Lincoln, Nebraska
- M.S. Clinical Psychology (1979) Fort Hays State University, Hays, Kansas
- B.A. Philosophy (1973) Washburn University, Topeka, Kansas
Selected Articles & Book Chapters
- Li, D., Deogun J. S., Spaulding W., and Shuart, B. Towards missing data imputation: A study of fuzzy k-means clustering method. Transactions on Rough Sets, 2005.
- Goggins M, Hall H, Nack K, and Shuart, B. Community reintegration program. Journal of burn care and rehabilitation, 11 (4), 1990.
- Shuart, B., Spaulding, W., and Poland, J. (2007). Volume editors’ introduction to modeling complex systems. In B. Shuart, W. Spaulding & J. Poland (Eds.). Nebraska Symposium on Motivation, Vol. 52: Modeling Complex Systems. Lincoln: University of Nebraska Press, in press.
- Shuart, B., Spaulding, W., and Poland, J. (2007). Volume editors’ Postscript: Modeling complex processes in a rehabilitation application. Nebraska Symposium on Motivation, Vol. 52: Modeling
Complex Systems. Lincoln: University of Nebraska Press, in press.
- Shuart B., (1999) Psychosocial interventions. In Integrating rehabilitation and restorative nursing concepts into the Minimum Data Set. Paul Nathenson, (Ed.). Glenview, Ill: Association of Rehabilitation Nursing.
- Nebraska Symposium on Motivation, Vol. 52: Modeling Complex Systems. B. Shuart, W. Spaulding & J. Poland (Eds.). Lincoln: University of Nebraska Press, (2007).
- Nebraska Symposium on Motivation: The Institute hosted a special session during the 52nd Annual Nebraska Symposium on Motivation with UN-L Department of Psychology at the University on March 25-27, 2004. The coordinators of the Symposium and the editors of Volume 52 were Bill Shuart (Clinical Informatics Center and Institute Director), Will Spaulding (UN-L), and Jeffrey Poland, John Flowers and Bill Shuart. The Symposium title was Modeling Complex Systems: Motivation, Cognition and Social Processes. The Symposium on Motivation brought together and international group of theorists and researchers who have made important recent contributions relevant to the use of mathematical/stochastic modeling to study cognition, decision-making and social processes.
- Richard W. J. Neufeld, Ph.D., Department of Psychology University of Western Ontario, London, Ontario, Canada
- Wolfgang Tschacher, Ph.D. and Zeno Kupper, Ph.D., University Hospital of Social and Community Psychiatry, University of Bern
- Michael J. Mahoney, Ph.D., Department of Psychology, University of North Texas
- Eduardo Salas, Ph.D., Department of Psychology, University of Central Florida
- Susan Lajoie, Ph.D., Department of Educational Psychology and Counseling, McGill University
- Mark Musen, MD., Ph.D.Departments of Medicine and Computer Science, Stanford University
- Li, D., Deogun J. S., Spaulding W., and Shuart, B
Towards missing data imputation: A study of fuzzy k-means clustering method.
Proceedings of the 4th International Conference on Rough Sets and Current Trends in
Computing, Uppsala, Sweden, 2004, pp. 573-579.
- Shuart, B., Hakel, M and Dongilli, P. Improving outcomes in stroke rehabilitation. Presented at the 76th annual meeting of the American Congress of Rehabilitation Medicine, Orlando, Florida, October 15, 1999.