Big Data Analytics in Healthcare

Abstract

This chapter provides better understanding and use-cases of big data in healthcare. The healthcare industry generates lot of data every day, and without proper analytical tools, it is quite difficult to extract meaningful data. It is essential to understand big data tools since the traditional devices don't maintain this vast data, and big data solves the major issue in handling massive healthcare data. Health data from numerous health records are collected from various sources, and this massive data is put together to form the big data. Conventional database cannot be used in this purpose due to the diversity in data formats, so it is difficult to merge, and so it is quite impossible to process. With the use of big data this problem is solved, and it can process highly variable data from different sources.

The barriers and prospects related to big data analytics implementation in public institutions: a systematic review analysis

“…Fourth, healthcare advancement: BDA technologies are known for advancing the healthcare sector in terms of both service quality and throughput. Big data supports subsystems such as life support systems, electronic health records, recommendation advisory systems, and surveillance support systems for tracking epidemic outbreaks via the internet, among others [146][147][148][149][150][151][152][153]. To fully harness the promising potential of BDA in public institutions, Schulte and Bohnet-Joschko [153] recommend continuous research in this area.…”