Abstract
A systematic literature review of papers on big data in healthcare published between 2010 and 2015 was conducted. This paper reviews the definition, process, and use of big data in healthcare management. Unstructured data are growing very faster than semi-structured and structured data. 90 percentages of the big data are in a form of unstructured data, major steps of big data management in healthcare industry are data acquisition, storage of data, managing the data, analysis on data and data visualization. Recent researches targets on big data visualization tools. In this paper the authors analysed the effective tools used for visualization of big data and suggesting new visualization tools to manage the big data in healthcare industry. This article will be helpful to understand the processes and use of big data in healthcare management.
Highlights
Healthcare Industry is one of the world’s biggest and widest developing industries
Research study predictions on the worldwide big data expenditure in the healthcare business to progress towards Compound Annual Growth Rate (CAGR) of 42% during this years 2014-2019 [5]
We propose a new explanation of big data in healthcare
Summary
Healthcare Industry is one of the world’s biggest and widest developing industries. During, the recent years the healthcare management around the world is changing from disease-centered to a patient-centered model [1] and volumebased to a value-based healthcare delivery model [2]. S. Congress in August 2012 explains big data as “large volumes of high velocity, complex, and variable data that require advanced techniques and technologies to enable the capture, storage, distribution, management, and analysis of the information” [17]. Congress in August 2012 explains big data as “large volumes of high velocity, complex, and variable data that require advanced techniques and technologies to enable the capture, storage, distribution, management, and analysis of the information” [17] In this content, we propose a new explanation of big data in healthcare. The remaining three V’s (veracity, variability, and value) are discussed extensively by several researchers [20,21]
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