A Big Data Framework for the Promotion of e-Science in Health

  • Adriana Benício Galvão UFRN

Abstract


Given the current context of increasing data production and strong potential for value creation in health through the exploration and analysis of data, this paper presents a framework designed with the objective of facilitating the implementation of software for analysis of large data volume and thus promote e-science in health. The general functioning of the framework is presented and technologies for its implementation are mentioned. However, it is worth mentioning that, for wide use of the framework, cooperation and data sharing initiatives between health systems are necessary.

Keywords: Big Data, Framework, Health, Technology, e-Science

References

Gray, J. (2009). Jim Gray on eScience: A Transformed Scientific Method. Microsoft Research.

Mehta, Nishita & Anil Pandit (2018). Concurrence of big data analytics and healthcare: A systematic review. International Journal of Medical Informatics, 57-65.

Raghupathi, Wullianallur & Viju Raghupathi (2014). Big data analytics in healthcare: promise and potential, Health Information Science and Systems.

Wang, Yichuan & Nick Hajli (2017). Exploring the path to big data analytics success in healthcare, Journal of Business Research.
Published
2019-06-24
GALVÃO, Adriana Benício. A Big Data Framework for the Promotion of e-Science in Health. In: BRAZILIAN E-SCIENCE WORKSHOP (BRESCI), 13. , 2019, Belém. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 80-83. ISSN 2763-8774. DOI: https://doi.org/10.5753/bresci.2019.6315.