Design of A Technology Framework for Big Data to Improve Diseases Surveillance in Health Facilities in Nigeria

Abstract

— The main objective of the study was to investigate the implementation of big data-driven health facilities in Nigeria. The study is targeted at the public and private health facilities enrolled in the WHO surveillance reporting network in Nigeria. The design collects data from the participating population and describes the societal phenomenon concerning technological advancements in healthcare. The first objective about the implementation of big data at health facilities in Nigeria was obtained with the help of conducting an extensive review of previous literature on big data. On the other hand, the second research objective of this study about designing a real-time technological interventions framework was obtained through surveying health workers of selected tertiaries in Nigeria. Lastly, the final research objective about the ways to improve geospatial reporting of disease from health facilities was addressed through both survey results and previous research. Based on this formula the total of 30 institutions were included in the study out of 36 tertiary health facilities. On the other hand, the researcher has used stratified sampling method to obtain relevant data. The use of SPSS software has been made to analyze the quantitative data. In this manner, the researcher has applied different statistical tests including regression analysis, correlation analysis. The p-value of the variable integration and interoperability has found as 0.000 which is lesser than the threshold of 0.05. This infers that there is a significant impact of integration and nteroperability on the adoption of big data analytics in the context of Nigerian Health care sector. Further, regarding the variable privacy and security, the sig value has been found as 0.000 which is nonetheless is also lower than the threshold of 0.05. This infers that the privacy and security also have a significant impact on the ICT adoption in terms of big data analytics in the concerned sector.