|Communications on Applied Electronics|
|Foundation of Computer Science (FCS), NY, USA|
|Volume 7 - Number 12|
|Year of Publication: 2018|
|Authors: Edem Adjei, Nana Kwame Gyamfi, David Otoo-Arthur|
Edem Adjei, Nana Kwame Gyamfi, David Otoo-Arthur . Towards a Big Data Architectural Framework for Healthcare in Ghana. Communications on Applied Electronics. 7, 12 ( Jan 2018), 1-6. DOI=10.5120/cae2018652735
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.