Forecasting cost based on a stochastic utilization plan and a fixed cost function

Charles Reed McGhee, The University of Texas School of Public Health


The application of Markov processes is very useful to health-care problems. The objective of this study is to provide a structured methodology of forecasting cost based upon combining a stochastic model of utilization (Markov Chain) and deterministic cost function. The perspective of the cost in this study is the reimbursement for the services rendered. The data to be used is the OneCare database of claim records of their enrollees over a two-year period of January 1, 1996–December 31, 1997. The model combines a Markov Chain that describes the utilization pattern and its variability where the use of resources by risk groups (age, gender, and diagnosis) will be considered in the process and a cost function determined from a fixed schedule based on real costs or charges for those in the OneCare claims database. The cost function is a secondary application to the model. Goodness-of-fit will be used checked for the model against the traditional method of cost forecasting.

Subject Area

Statistics|Biostatistics|Public health

Recommended Citation

McGhee, Charles Reed, "Forecasting cost based on a stochastic utilization plan and a fixed cost function" (1999). Texas Medical Center Dissertations (via ProQuest). AAI9981802.