scispace - formally typeset
Open AccessJournal ArticleDOI

Big data analytics in healthcare: promise and potential

TLDR
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, and its potential is great; however there remain challenges to overcome.
Abstract
Objective: To describe the promise and potential of big data analytics in healthcare. Methods: 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. Results: The paper provides a broad overview of big data analytics for healthcare researchers and practitioners. Conclusions: 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.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Debating big data: A literature review on realizing value from big data

TL;DR: It is argued that, in practice, organizations need to continuously realign work practices, organizational models, and stakeholder interests in order to reap the benefits from big data, and identifies two socio-technical features of big data that influence value realization: portability and interconnectivity.
Journal ArticleDOI

Big Data Analytics in Healthcare

TL;DR: Recent research which targets utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed and potential areas of research within this field which have the ability to provide meaningful impact on healthcare delivery are examined.
Journal ArticleDOI

Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0

TL;DR: By selectively analyzing the literature, this paper systematically survey how the adoption of the above-mentioned Industry 4.0 technologies (and their integration) applied to the health domain is changing the way to provide traditional services and products.
Journal ArticleDOI

Big Data for supply chain management in the service and manufacturing sectors

TL;DR: This paper investigates representative Big Data applications from typical services like finance & economics, healthcare, Supply Chain Management (SCM), and manufacturing sector and discusses current movements on the Big Data for SCM in service and manufacturing world-wide including North America, Europe, and Asia Pacific region.
Journal ArticleDOI

Federated Learning for Healthcare Informatics

TL;DR: In this article, the authors provide a review of federated learning in the biomedical space, and summarize the general solutions to the statistical challenges, system challenges, and privacy issues in federated Learning, and point out the implications and potentials in healthcare.
References
More filters
Book

Big data: The next frontier for innovation, competition, and productivity

James Manyika
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
Book

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

TL;DR: This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform.
Proceedings ArticleDOI

Big Data analytics

TL;DR: This analysis illustrates that the Big Data analytics is a fast-growing, influential practice and a key enabler for the social business and is critical for success in the age of social media.
Proceedings ArticleDOI

Towards large-scale twitter mining for drug-related adverse events

TL;DR: An approach to find drug users and potential adverse events by analyzing the content of twitter messages utilizing Natural Language Processing (NLP) and to build Support Vector Machine (SVM) classifiers is described, suggesting that daily-life social networking data could help early detection of important patient safety issues.
Book

Big Data Analytics: Turning Big Data into Big Money

TL;DR: Ohlhorst et al. as mentioned in this paper focused on the business and financial value of big data analytics and discussed how to turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities.
Related Papers (5)