During the recent year’s penetration of modern IT in eHealth sector was significantly improved. Hospitals and other medical Institutions acquired modern digital equipment. All medical institutions are connected to high speed Internet not only in the cities but also in the country regions. Many medical institutions are developing and implementing miscellaneous information system. Medical information systems that are creating for working with telemedicine integrate various types of medical equipment. The main idea for the proposed project will be study and developing solutions for telemedicine using machine learning and big data for data analyzing and automated decision making. The main problem of storing the data produced by equipment is that dataflow is generated in “real-time”, that means that numerous examinations are storing thousands of results and there will not be possible to process these results using regular database tools.