Revenue Prediction Models for Selected Hospital Departments

This thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed please contact the Wahlstrom Library to discuss permission.Revenue prediction models for the following hospital departments: Operating Room, Laboratory, X-Ray, Electrocardiography, utilizing stepwise multipal linear regression analysis. The models cummulative error for an eleven month period ranged from 07. to 3.6%. However, when projected values of the independent variables were input to the models, the cummulative errors ranged from 0.3% to 14.1%. Also, the relative accuracy of revenue prediction on a monthly basis declined. Therefore, research should be directed towards the prediction of the independent variables in the revenue models as well as other applications of the methodology used