Big Data Analytics in Libyan Healthcare: Potential and Challenges


  • Ebtisam Omar Higher institute of science and technology Marada


Big Data Analytics Healthcare, Potential Challenges Libya


This paper presents an in-depth exploration of the potential and challenges associated with the implementation of Big Data analytics in the Libyan healthcare system. It begins by providing a contextual overview of the Libyan healthcare landscape, characterized by challenges such as limited resources, infrastructural deficiencies, and a need for technological advancement. The importance of Big Data in healthcare is highlighted, emphasizing its role in revolutionizing patient care, healthcare management, and predictive analytics in disease control. The study conducts a systematic review of existing literature, supplemented by case studies and comparative analyses, to assess the readiness of the Libyan healthcare system for Big Data integration. It identifies key benefits, such as improved patient outcomes, efficient resource utilization, and enhanced disease surveillance. Concurrently, the study brings to light significant challenges, including infrastructural gaps, organizational barriers, and data privacy concerns. Through this comprehensive analysis, the paper aims to outline the specific requirements and strategies for successful implementation of Big Data analytics in Libya. It proposes actionable recommendations focusing on infrastructure development, policy formulation, and capacity building, tailored to the Libyan context. The study's findings and recommendations are intended to guide healthcare policymakers, practitioners, and technologists in Libya, offering insights that could facilitate the transformation of the country's healthcare system through Big Data analytics. This research contributes to the broader discourse on the integration of advanced technology in healthcare systems, particularly in countries facing similar challenges as Libya. 


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How to Cite

Omar, E. (2024). Big Data Analytics in Libyan Healthcare: Potential and Challenges. Journal of Reproducible Research, 2(2), 1–9. Retrieved from