Estado del arte acerca de patrones de almacenamiento de big data en el área de salud

Abstract

In this paper we present a state of the art about Big Data storage patterns in the Healthcare area. In order to carry out this process, we aim to identify the main storage patterns used in the healthcare area, providing industry trends, challenges and main concerns regarding how the implementation of these storage patterns may affect the information that is hosted, the access to it and the challenges it poses for its analysis and preservation. The SMS (Systematic Literature Mapping) methodology proposed by Paternoster et al. and Petersen et al. implemented in this article helped to collect an initial 530 articles hosted in academic databases such as IEEE, Web of Science and Scopus, which were evaluated through a 7-stage process to finally obtain a final 70 articles, which are presented as the most relevant for the present work. Thanks to the results obtained, it can be concluded that the unstructured storage patterns that can be hosted in the cloud are those that are in trend since the health industry given the constant growth of the information generated require solutions that can scale in a flexible and agile way, ensuring the privacy and security of the information stored in the different cloud services.