Modelo de infraestructura conceptual para gestionar la información de los servicios de un hospital público de tercer nivel de Guayaquil basado en internet de las Cosas y Big Data

Abstract

Using Big Data on IoT platforms is relevant to ensure a scalable infrastructure that manages heterogeneous data and large volume of data. The general objective is to design an infrastructure model for capturing and processing the data of services of a public hospital of third level of Guayaquil based on Internet of Things and Big Data. Among the results of this research are cited: the systematic review of the literature that generated 55 selected articles related to the topic is used; in the articles, health is the area used IoT and Big Data; devices is the main source of data that IoT and Big Data are used; sensors is the main element used in IoT; web-mobile applications are used to develop IoT; data sources and interface outputs are the elements used in Big Data; Apache and Hadoop are the main tools in Big Data; pulse, pressure, temperature, heart rate are the most captured data in IoT and Big Data models; health sensors are the devices used in IoT and Big Data; diagnosis and evaluation are common indicators that occur in IoT and Big Data; Machine Learning is additional technology used in IoT and Big Data. The design of a logical infrastructure consisting of four layers such as data generation, communications, cloud processing and data presentation that provide service information and also patient detail; the P2413 standard is used, which shows the logical infrastructure with 88.88% validity; ISO 20547-5 is used, which evaluates the logical infrastructure with 83.35%. It was concluded that the logical infrastructure is scalable and supports heterogeneous data by IoT technology and supports volume with good speed helped by strong tools in Big Data.