Dash et al. J Big Data (2019) 6:54 https://doi.org/10.1186/s40537-019-0217-0 SURVEY PAPER Open Access Big data in healthcare: management, analysis and future prospects Sabyasachi Dash1†, Sushil Kumar Shakyawar2,3†, Mohit Sharma4,5 and Sandeep Kaushik6* *Correspondence: sandeep.kaushik. Abstract
[email protected]; ‘Big data’ is massive amounts of information that can work wonders. It has become a
[email protected] †Sabyasachi Dash and topic of special interest for the past two decades because of a great potential that is Sushil Kumar Shakyawar hidden in it. Various public and private sector industries generate, store, and analyze contributed equally to this big data with an aim to improve the services they provide. In the healthcare indus- work 6 3B’s Research try, various sources for big data include hospital records, medical records of patients, Group, Headquarters results of medical examinations, and devices that are a part of internet of things. of the European Biomedical research also generates a signifcant portion of big data relevant to public Institute of Excellence on Tissue Engineering healthcare. This data requires proper management and analysis in order to derive and Regenerative Medicine, meaningful information. Otherwise, seeking solution by analyzing big data quickly AvePark - Parque de becomes comparable to fnding a needle in the haystack. There are various challenges Ciência e Tecnologia, Zona Industrial da Gandra, Barco, associated with each step of handling big data which can only be surpassed by using 4805-017 Guimarães, high-end computing solutions for big data analysis. That is why, to provide relevant Portugal solutions for improving public health, healthcare providers are required to be fully Full list of author information is available at the end of the equipped with appropriate infrastructure to systematically generate and analyze big article data.