Stephan Kudyba
Abstract
This paper illustrates the use of advanced analytics to increase efficiency in the healthcare sector through cost reduction. The application of multivariate techniques on health population data depicted better accuracy in identifying patients at risk of developing a chronic illness (diabetes) than more conventional techniques. The model results enable healthcare providers to more effectively apply preventive treatment methods to the at-risk population to reduce the likelihood of individuals from experiencing a fully developed illness. An estimate of the cost savings in the form of preventing cases of fully developed diabetes through predictive modeling is included.
- Cousins, M., Shickle, L., and Bander, J. An introduction to predictive modeling for disease management risk stratification. Disease Management Journal 5 (2002), 157--167.Google Scholar
Cross Ref
- DPP Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. New England Journal of Medicine 346, 6, (2002), 393--403.Google Scholar
- Grana, J., Preston, S., McDermott, P.D., and Hanchak, H.A. The use of administrative data to risk-stratify asthmatic patients. American Journal of Medical Quality 12, (2002), 113--119.Google ScholarCross Ref
- Hazen, G. Preference factoring for stochastic trees. Management Science 46, 3 (2000), 389--403. Google ScholarDigital Library
- Kiernan, M., Kraemer, H., Winkleby, M., King, A., and Taylor, C. Do logistic regression and signal detection identify different subgroups at risk?: Implications for the design of tailored interventions. Journal of Philosophy, Psychology and Scientific Methods 6, (2001), 35--48.Google ScholarCross Ref
- McLaughlin, C., Yang, S., and Van Dierdonck, R. Professional service organizations and focus. Management Science 14, 7 (1995), 1185--1193. Google ScholarDigital Library
- Shelton, P. Disease management programs: The second generation. Disease Management and Health Outcomes 10, 8 (2002), 461--467.Google ScholarCross Ref
Index Terms
- Enhancing efficiency in the health care industry
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