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Although the medical monitoring system has massive users,each of them only possesses one piece of data logging that participates in statistical computing.If every user selects to directly send the data to a server,such a server has no choice but to assume extremely great pressure of data computing and traffic.Specific to such a situation,a feasible solution is to scatter its workload of statistical computing to corresponding statistical nodes that further play the role in assisting the server in statistical computing.Moreover,there still exist two problems that should be resolved as far as statistical node assisted computing is concerned.One is how the server takes advantage of intermediate results obtained through statistical node aggregation to perform statistical computing; and,the other is how to design an efficient topological structure for statistical computing.In this paper,a multi-party statistical computing scheme protecting privacy was designed targeted at the application scenario of medical monitoring systems with a large number of participants.Firstly,calculation formula of statistics was decomposed into calculations of 6 intermediate statistical results.Afterwards,a tree topology was designed for the purpose of data aggregation.