Health systems require continuous improvement. Along with that, despite the pace of the society development, they face a number of global problems, which can be solved by the transition to value based healthcare through robust management. The purpose of the study is to analyze the relationship between sustainable healthcare management and life expectancy in the regions of the Russian Federation, with a special focus on the impact of robust management factors on this indicator. The study used theoretical methods: observation, measurement, comparison, analysis, modeling, synthesis, study and generalization, as well as practical ones: modeling using Pandas, Numpy, Scipy, Geopandas, Sklearn, Matplotlib and Seaborn packages for the Python programming language. The study resulted in the construction of a tree like model of the relationship of indicators, which made it possible to obtain a multi level list with the mutual influence of factors and thresholds. By examining the dynamics in the relationship between health management strategies and life expectancy across regions, we sought to identify key control factors that can be used to improve health outcomes across the country and assess which ones have more and less impact. The result of the analysis was the determination of the threshold values of indicators, the change in which leads to a significant change in life expectancy.

robust management, value based healthcare, life expectancy, system uncertainty, values.