Big Data in Healthcare Management: A Review of Literature

@inproceedings{Senthilkumar2018BigDI,
  title={Big Data in Healthcare Management: A Review of Literature},
  author={S. A. Senthilkumar and Bharatendara K Rai and Amruta Meshram and Angappa Gunasekaran and S. Chandrakumarmangalam},
  year={2018}
}
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… 

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References

SHOWING 1-10 OF 90 REFERENCES
Toward a Literature-Driven Definition of Big Data in Healthcare
TLDR
A definition of big data in healthcare is proposed, defined by volume, which can be defined as datasets with Log⁡(n∗p) ≥ 7 and its great variety and high velocity.
BIG DATA ANALYTICS IN HEALTHCARE: A SURVEY
TLDR
The background and the various methods of big data Analytics in healthcare are reviewed, various platforms and algorithms for big data analytics are elaborated and discussion on its advantages and challenges are discussed.
The Application of Big Data in the Management of Healthcare Organizations. A Review of Selected Practical Solutions
TLDR
The review paper presents the notion of big data solutions with a brief presentation of its architecture and also puts an emphasis on the benefits of its application in healthcare subjects and the management of organizations.
Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social Media Working Group.
TLDR
The concept of Big Data and associated analytics are to be taken seriously when approaching the use of vast volumes of both structured and unstructured data in science and health-care.
Big Data in Medical Applications and Health Care
TLDR
Methods and technology progress about Big Data, Big Data benefits, its applications and opportunities in medical areas and health care, and some major issues of Big Data are presented.
Turning healthcare challenges into big data opportunities: A use‐case review across the pharmaceutical development lifecycle
TLDR
To make big data work for pharmaceutical information, attention must be paid to data collection on a vast scale, from multiple sites and over long time periods.
Potentiality of Big Data in the Medical Sector: Focus on How to Reshape the Healthcare System
TLDR
Whether the use of big data can effectively reduce healthcare concerns, such as the selection of appropriate treatment paths, improvement of healthcare systems, and so on is explored.
Software Tools and Techniques for Big Data Computing in Healthcare Clouds
...
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