Heart failure is one of the significant public health burdens in the world. According to WHO, 2 million people suer heart failure worldwide. In this study, we propose a bivariate stochastic model for heart failure disease progression and recovery process, which helps to understand the underlying mechanisms of the recovery process and suggests strategies to improve the performance of the public health system. Sensitivity analysis is carried out to understand the model behavior.