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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Application of Big Data in Healthcare: Opportunities, Challenges and Techniques

Application of Big Data in Healthcare: Opportunities, Challenges and Techniques
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Author(s): Md Rakibul Hoque (University of Dhaka, Bangladesh)and Yukun Bao (Huazhong University of Science and Technology, China)
Copyright: 2016
Pages: 20
Source title: Big Data: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-9840-6.ch053

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Abstract

This chapter investigates the application, opportunities, challenges and techniques of Big Data in healthcare. The healthcare industry is one of the most important, largest, and fastest growing industries in the world. It has historically generated large amounts of data, “Big Data”, related to patient healthcare and well-being. Big Data can transform the healthcare industry by improving operational efficiencies, improve the quality of clinical trials, and optimize healthcare spending from patients to hospital systems. However, the health care sector lags far behind compared to other industries in leveraging their data assets to improve efficiencies and make more informed decisions. Big Data entails many new challenges regarding security, privacy, legal concerns, authenticity, complexity, accuracy, and consistency. While these challenges are complex, they are also addressable. The predominant ‘Big Data' Management technologies such as MapReduce, Hadoop, STORM, and others with similar combinations or extensions should be used for effective data management in healthcare industry.

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