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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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There is less research conducted to evaluate how students have adopted these new technological developments (internet applications and services) in Ghana. The level and capacity of internet usage among students in Ghana differ significantly from that of students in the developed and underdeveloped countries. Therefore, this study is conducted to address these issues by filling the existing gaps by evaluating the knowledge and level of usage of internet technology among students of Presbyterian University College, Ghana. The study used a descriptive cross-sectional survey to assess the level of students' awareness of the internet services offered by the university. The different types of internet applications and search engines that the students use, the kind of activities students look for on the internet, students' skills in accessing the internet services, and the student's level of skill in evaluating/authenticating the internet content among university students. A disproportional stratified random sampling technique is used in selecting 297 students. The solution from this study revealed that the kind of activities students mostly used the internet for included social media networking, E-learning, discussions /newsgroup, assignments and research communication, recreational purposes, reading news items, streaming and downloading movies. Most respondents did not know or have any skill in evaluating/authenticating internet content. In contrast, a few understood and had some expertise in evaluating and validating the content on the internet.