Big Data Analytics in Healthcare Systems

@article{Wang2019BigDA,
  title={Big Data Analytics in Healthcare Systems},
  author={Lidong Wang and Cheryl Ann Alexander},
  journal={International Journal of Mathematical, Engineering and Management Sciences},
  year={2019}
}
  • Lidong Wang, C. Alexander
  • Published 1 February 2019
  • Medicine, Computer Science
  • International Journal of Mathematical, Engineering and Management Sciences
Big Data analytics can improve patient outcomes, advance and personalize care, improve provider relationships with patients, and reduce medical spending. This paper introduces healthcare data, big data in healthcare systems, and applications and advantages of Big Data analytics in healthcare. We also present the technological progress of big data in healthcare, such as cloud computing and stream processing. Challenges of Big Data analytics in healthcare systems are also discussed. 
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References

SHOWING 1-10 OF 38 REFERENCES
Insight of big data analytics in healthcare industry
TLDR
The paper focuses on the applications and challenges of Big Data Analytics in the healthcare industry and the requirement of analyzing and leveraging clinical data collected by different sources.
Big data stream computing in healthcare real-time analytics
TLDR
This paper proposes a generic architecture for big data healthcare analytic by using open sources, including Hadoop, Apache Storm, Kafka and NoSQL Cassandra, to effectively analyze a huge amount of healthcare data coming with a rapid rate.
Big Data solutions in Healthcare: Problems and perspectives
  • Prabha Susy Mathew, A. S. Pillai
  • Medicine, Computer Science
    2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)
  • 2015
TLDR
Big data solutions often come with set of innovative data management solutions and analytical tools, when effectively implemented can transform the healthcare outcomes.
Predictive Big Data Analytics in Healthcare
  • A. Reddy, P. S. Kumar
  • Computer Science
    2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)
  • 2016
TLDR
An overview of storing and retrieval methods, Big Data tools and techniques used in healthcare clouds, role of Big Data Analytics in healthcare and discusses the benefits, outlooks in nascent fields of predictive analytics, faces challenges and provides solutions are given.
Big Data Analytics in Healthcare
TLDR
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.
Hadoop-Based Distributed Computing Algorithms for Healthcare and Clinic Data Processing
TLDR
The demands and application potentials using big data technology with an emphasis on common challenges are reviewed, and a simple clinic data is used to demonstrate how to map and reduce on small dataset with illustrated workflow.
A Robust Architectural Framework for Big Data Stream Computing in Personal Healthcare Real Time Analytics
  • R. Vanathi, A. Khadir
  • Computer Science, Medicine
    2017 World Congress on Computing and Communication Technologies (WCCCT)
  • 2017
TLDR
A comprehensive suggestive architecture using open sources, including Hadoop, Apache Storm, Kafka and NoSQL Cassandra is discussed with the approach to offer better healthcare services to discuss the current developments in the area of Big data Analytics with healthcare domain.
Advanced Big Data Analytics for -Omic Data and Electronic Health Records: Toward Precision Medicine.
TLDR
This article presents -omic and EHR data characteristics, associated challenges, and data analytics including data pre-processing, mining, and modeling, and demonstrates how big data analytics enables precision medicine.
Using predictive analytics and big data to optimize pharmaceutical outcomes.
  • I. Hernandez, Y. Zhang
  • Medicine
    American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
  • 2017
TLDR
P predictive analytics that leverage big data will become an indispensable tool for clinicians in mapping interventions and improving patient outcomes, and clinicians will have to understand the basics of big data and predictive analytics.
Smart health: Big data enabled health paradigm within smart cities
...
...