Biofeedback systems record information about the patient’s body and feedback or display the information in a comprehensible format to allow the individual to gain insight and control of their physiological and/or pyschophysiological functions. A novel biofeedback of dialysis treatment is developed based on system dynamics approach for analyzing and highlights factors which may alter the delivered dialysis dose and may lead to session degradation. The novel systemhad already been tested on a large number of patients in different dialysis centers and it provided satisfactory results.The simulation results and the statistical analysis revealed that there is no statistically significant difference between the calculated results and the measured results. Identifying the factors that contribute to this complexity and analyzing the interactions among them can possibly help us make better decisions and help staff achieve the desired dialysis performance, assist in development of a support system for staff to improve their reporting, assessment, and decision making processes and assist staff to make the correct responses to poor processes of care that impede adequate dialysis.