Big data Analytics for Healthcare: A Review

Abstract

To describe the promise and potential of big data analytics in healthcare. The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported in the literature, briefly discusses the challenges, and offers conclusions. This paper provides a broad overview of big data analytics for healthcare researchers and practitioners. Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs. Its potential is great; however there remain challenges to overcome. conditions, identifying and eliminating improved clinician workflow etc. waste, Big Data platform must embrace multiple layers of security for data at rest and the data in flight. It should be able to encrypt data at rest within the data repository at least for personal and sensitive data. All communications between data sources, data consumers and the Big Data warehouse should be encrypted to provide security to the data