This degree project presents a telemedicine application for the Triage classification of Manchester. The application seeks to identify signs and signs of pain in order to assign a priority to the care of patients who enter the emergency rooms of Coomeva EPS. Given the wide spectrum of users entering the emergency room and the importance of prioritization, the application of an intuitive intuition, fast and supported by a medical knowledge base built with the help of the experts of Coomeva EPS. In this document the context of the Coomeva EPS rooms in Cali, the design of the application and evaluations by medical experts are exposed.