Big data analytics in the healthcare industry: A systematic review and roadmap for practical implementation in Nigeria

Introduction: The introduction of digitization of healthcare data has posed both challenges and opportunities within the industry. Big Data Analytics (BDA) has emerged as a powerful tool, facilitating data-driven decision-making and revolutionizing patient care. Purpose: The research aimed to analyze diverse perspectives on big data in healthcare, assess BDA's application in the sector, examine contexts, synthesize findings, and propose an implementation roadmap and future research directions. Methodology: Using an SLR protocol by Nazir et al. (2019), sources like Google Scholar, IEEE, ScienceDirect, Springer, and Elsevier were searched with 18 queries. Inclusion criteria yielded 37 articles, with five more added through citation searches, totaling 42. Results: The study uncovers diverse healthcare viewpoints on big data's transformative potential, precision medicine, resource optimization, and challenges like security and interoperability. BDA empowers clinical choices, early disease detection, and personalized medicine. Future areas include ethics, interpretable AI, real-time BDA, multi-omics integration, AI-driven drug discovery, mental health, resource constraints, health disparities, secure data sharing, and human-AI collaboration. Conclusion: This study illuminates Big Data Analytics' transformative potential in healthcare, revealing diverse applications and emphasizing ethical complexities. Integrated data analysis is advocated for patient-centric services. Recommendation: Balancing BDA's power with privacy, guidelines, and regulations is vital. Implementing the Nigerian healthcare roadmap can optimize outcomes, address challenges, and enhance efficiency. Future research should focus on ethics, interpretable AI, real-time BDA, and mental health integration

Developing a dynamic learning culture for the integration of e-learning in higher education

Introduction: The many advantages of e-learning, such as adaptability, accessibility, and cost-effectiveness, have attracted a lot of attention in recent years, and this trend is expected to continue. However, a dynamic learning culture that encourages creativity, cooperation, and continual improvement is essential for the effective integration of e-learning. Purpose: The purpose of this research was to identify successful approaches to fostering a dynamic learning culture conducive to e-learning's widespread adoption in higher education. Methodology: This study employed a literature review method. The research reviewed the existing literature to determine the most effective methods for creating e-learning courses and measuring their effectiveness, as well as the most pressing problems that need to be addressed in order to successfully deploy e-learning in higher education. Result: A systematic strategy including deliberate planning, allocation of resources, and continuous monitoring and evaluation was shown to be necessary for the development of a dynamic learning culture. It also called for promoting an environment conducive to innovation, one that values trial and error, teamwork, and the pursuit of perfection. Conclusion: In conclusion, integrating e-learning into higher education needs a multidimensional strategy that includes careful planning, allocation of resources, encouraging a culture of innovation, and rigorous research to establish a dynamic learning culture. Recommendation: Institutions should prioritize investing in the resources, infrastructure, and support systems needed to successfully integrate e-learning programs in order to build a dynamic learning culture