Next-Generation Business Intelligence Systems for Streamlining Decision Cycles in Government Health Infrastructure
Abstract
In an increasingly digitized global landscape, public sector institutions have become critical nodes of national digital infrastructure, yet they remain highly vulnerable to cyber threats. As cyber-attacks grow in scale, complexity, and geopolitical significance, the urgency to establish robust and adaptive cyber risk models at the national level has intensified. This paper presents a comprehensive examination of the need for national cyber risk models specifically tailored to safeguard digital infrastructure within public sectors. It proposes a conceptual framework that integrates strategic, operational, and technological dimensions of cyber risk management and aligns them with the unique responsibilities and constraints of government agencies. The paper begins by contextualizing the vulnerability of public digital systems considering evolving cyber-attack patterns, such as ransomware, state-sponsored attacks, and critical infrastructure sabotage. Through a detailed literature review, it identifies the gaps in existing cyber risk models that primarily focus on corporate or defense-specific environments and do not fully address the public sector’s multi-layered risk exposure. Drawing from theories in systems resilience, risk governance, and critical infrastructure protection, the study outlines a national cyber risk model that accommodates the institutional heterogeneity, policy fragmentation, and accountability demands typical of the public domain.
The model is based on a layered architecture: national strategic oversight, sectoral threat intelligence coordination, organizational vulnerability assessments, and real-time response protocols. Key dimensions include legal-regulatory compliance, cybersecurity culture, inter-agency data sharing, and adaptive incident response capabilities. The paper also includes case analyses from selected countries that have either successfully implemented national risk models or have faced significant breaches due to a lack of such frameworks. Implications for policy are explored in depth, especially in the context of cyber sovereignty, public trust, and international digital cooperation. Practical recommendations are provided for policymakers, security architects, and public IT managers on how to institutionalize cyber risk modeling within broader digital governance structures. Additionally, the paper identifies implementation challenges such as budgetary constraints, political inertia, legacy systems, and cyber skills gaps.By developing a holistic and scalable national cyber risk model, this study contributes to the academic and policy discourse on digital public safety. It aims to serve as a foundational resource for nations seeking to enhance their cyber resilience and protect public welfare in the face of ever-evolving digital threats.
How to Cite This Article
Jeanette Uddoh, Daniel Ajiga, Babawale Patrick Okare, Tope David Aduloju (2021). Next-Generation Business Intelligence Systems for Streamlining Decision Cycles in Government Health Infrastructure . Journal of Frontiers in Multidisciplinary Research (JFMR), 2(1), 303-311. DOI: https://doi.org/10.54660/.IJFMR.2021.2.1.303-311