A Rebellion of Big Data in Health Care: Opportunities, Challenges and Industrial Advancements

8 Pages Posted: 27 Feb 2018

See all articles by K Gayathri

K Gayathri

PSNA College of Engineering and Technology

N Uma Maheshwari

PSNA College of Engineering and Technology

Date Written: November 15, 2017

Abstract

In the last few decades the health care division grows enormously. The health care division generates a massive amount of data that has huge volume, vast velocity and enormous variety. It comes from a variety of creative sources such as hospitals which is likely to implement the electronic health record (EHR) systems, clinical data, and genomic data. The existing capabilities of the existing knowable relational database management systems are stressed by these sources like hospitals. To obtain more significant and familiar information the big data solutions bind the huge heterogeneous and complex data sets. This paper mainly studies the strength of implementing the big data solutions on the healthcare division and the possible opportunities, challenges, platform and tools to implement big data analytics in health care division.

Keywords: Big Data, Health Care, Big Data Analytics

Suggested Citation

Gayathri, K and Uma Maheshwari, N, A Rebellion of Big Data in Health Care: Opportunities, Challenges and Industrial Advancements (November 15, 2017). Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017 – Dec 15th - 16th 2017) organized by Sona College of Technology, Salem, Tamilnadu, India, Available at SSRN: https://ssrn.com/abstract=3126682 or http://dx.doi.org/10.2139/ssrn.3126682

K Gayathri (Contact Author)

PSNA College of Engineering and Technology ( email )

Kothandaraman Nagar, Silvarpatti
Dindigul, Tamil Nadu 624622
India

N Uma Maheshwari

PSNA College of Engineering and Technology ( email )

Kothandaraman Nagar, Silvarpatti
Dindigul, Tamil Nadu 624622
India

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
48
Abstract Views
880
PlumX Metrics