The article presents the development of an application that helps to automate the process of data collection based on the measurements that a hardware device can make to users, centralizing the information of each one of the users of an EPS and thus allowing them to perform a monitoring and analysis of the behavior status of its main organs. The entities providing health services in Colombia do not have platforms that provide statistics on the behavior of the vital functions of their users, therefore, this offers an opportunity for improvement in their processes through methodologies based on Big Data and Machine Learning as support technological and institutional activities in MHealth, which minimize these shortcomings and profile a comparative advantage over its direct competitors. Generating a change to these problems that innovates in the way in which these processes are handled in health entities, applying the advances that have been conceived in IoT, such as hardware and software that helps to present in a more understandable way the information that is relevant for the user, making an IA of data in the unified history offering a support to the health professional so that he can analyze and make a decision more agilely with a sample of results of the analyzed algorithms.