Analysis of large medical data sets is a very challenging task due to the amount of data. The used data could be collected using different types of sensors; therefore, it has different data units and different data types. The main aim of this research is to define and implement a workflow for medical data analysis using statistical tools such as R and it’s official libraries. The tool could be used in an offline basis to analyze stored data or in a real-time basis to analyze the medical data in a synchronous way. The full design of the tool together with the workflow starting from the state of the art, requirement specification, design, to the implementation and testing should be well-defined.