Abstract: The purpose of medical intervention is to achieve favorable prognosis of patients. Intervenor, intervening method and disease risk are the determinants of prognosis. Evidence-based medicine focuses on the relationship between intervening method and disease risk. However, with the development of technology, interventor may also be considered as a predictor for prognosis. This paper presents a new idea, named prognosis-control medicine, which takes the improvement of prognosis of patients as the final goal.Based on the statistical analysis, big data and artificial intelligence, the factors ofintervenor, intervening method and disease risk are discreetly analyzed to evaluate their effects on the prognosis. The new theory aims at helping patients to choose the best intervening method and intervenor, and at last maximize the benefits of patients.