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No. of pages: 93

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Abstract:

The study “Big Data Analytics: Nigerian Health Sector Approach aimed to examine the health sector if they are using big data analysis in day-to-day activities. The objective of this study was to know whether big data analytics in the Nigerian health sector is been implemented or is available. The continuous advances in today’s digital universe and integration of computing into virtually every facet of human life are no doubt making the concept of Big Data a ubiquitous paradigm for deploying novel technologies/applications hitherto not practicable by conventional methods.
Big Data, a general term for the massive amount of digital data being generated from different sources, is extremely large, structured/unstructured too complex for analysis through conventional relational database techniques. It is estimated that 2.5 quintillion bytes of data are added each day of which approximately 90% is unstructured. This Big Data offers new opportunities for discovery, value creation, and rich business intelligence for decision support in any organization. Nigeria as a country is steadily moving towards digitizing some of the government departments, schemes and services at the Federal, State, and Local government levels. Due to the increase in digital literacy of the people and the availability of data-intensive network access that is emerging, the need for the use of big data applications is on the increase. Interestingly, gathering and processing vast amounts of data is not new to humanity. What is new is the speed at which one can process complex data and extract actionable business intelligence or big insight from data.
Volume, Variety, and Velocity are characteristics nature of big data that need careful choice of relevant technology and framework to handle. Big Data is therefore redefining the landscape of data management, from extract, transform, and load, or ETL processes to new technologies (such as Hadoop) for cleansing and organizing unstructured data in Big-Data applications, bringing up challenges of complexity, security, and risks as well as a need for new technology skills for analytics.
In this paper, the model that illustrates how analytics of Big Data can result in the transformation of the government through increased efficiency and effectiveness in the health sector with citizen engagement in decision-making will be discussed.

Table of Content:

Pages


Title page i

Approval ii

Certification iii

Dedication iv

Acknowledgement v

Abstract vi

Table of contents vii




CHAPTER ONE: INTRODUCTION 1


1.1 Background of study 1

1.2 Statement of the Problems 5

1.3 Aims/Objectives 6

1.4 Significant of the Study 6

1.5 Scope of the study 7

1.6 Operational definition of terms 7




CHAPTER TWO: LITERATURE REVIEW 9

2.1 Concept of Big Data Analytics 9

2.2 Characteristics of Big Data. 15

2.3 Big Data in Nigeria 18

2.4 Big Data Analytics – (Preventing Medication Errors) 36

2.5 Identifying High-Risk Patients 37


2.6 Reducing hospital costs and wait times 37


2.7 Preventing security breaches and fraud 38


2.8 Enhancing patient engagement and outcomes 41


2.9 Widespread use of electronic health records 42

2.10 Healthcare Crime Investigation Approaches 42

2.11 Nigerian National Health Insurance Scheme 48

2.12 Theoretical Framework 50




CHAPTER THREE: METHODOLOGY 55





CHAPTER FOUR: DATA ANALYSIS 64


4.1 Detailed Analysis of Organizations in Health Sector 64

4.2 Summary Analysis of Organizations in Health Sector 67

4.3 Implications of Study 68




CHAPTER FIVE: SUMMARY, CONCLUSION AND


RECOMMENDATIONS 71


5.1 Summary 71

5.2 Conclusion 72

5.3 Recommendations 75

References 77