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Towards a Big Data Architectural Framework for Healthcare in Ghana

Edem Adjei, Nana Kwame Gyamfi, David Otoo-Arthur. Published in Biomedical.

Communications on Applied Electronics
Year of Publication: 2018
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Edem Adjei, Nana Kwame Gyamfi, David Otoo-Arthur
10.5120/cae2018652735

Edem Adjei, Nana Kwame Gyamfi and David Otoo-Arthur. Towards a Big Data Architectural Framework for Healthcare in Ghana. Communications on Applied Electronics 7(12):1-6, January 2018. BibTeX

@article{10.5120/cae2018652735,
	author = {Edem Adjei and Nana Kwame Gyamfi and David Otoo-Arthur},
	title = {Towards a Big Data Architectural Framework for Healthcare in Ghana},
	journal = {Communications on Applied Electronics},
	issue_date = {January 2018},
	volume = {7},
	number = {12},
	month = {Jan},
	year = {2018},
	issn = {2394-4714},
	pages = {1-6},
	numpages = {6},
	url = {http://www.caeaccess.org/archives/volume7/number12/792-2018652735},
	doi = {10.5120/cae2018652735},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Data is deemed as a gold mine if and only if it is analyzed and utilize. The healthcare system is one of the largest generators of data due to strict adherence to regulatory structure. Unfortunately, Big Data deployment in the healthcare industry has not catch up in Ghana and Africa at large. Big Data in healthcare has enormous benefits including the designing of Predictive models, analyzing disease patterns and tracking disease outbreaks, turning large data into actionable information, Evidence based health delivery through data analysis and Capture and analyze real time data from variety of locations. To achieve above mentioned potentials of Big Data, this thesis has taken a look at the structure of Big Data, which has led to the development of an architectural framework that will fit into the system Ghanaian healthcare system and how the variety of data will be handled and stored. A framework which will serve as a platform for data analytics in the Healthcare industry is also proposed. Finally, we propose a framework which will handle the new data generating devices used by health facilities that is the structured and unstructured data types.

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Keywords

Healthcare System, framework, Big Data, structure and unstructured Data, architectural framework