Digital Employer Risk Rating Frameworks Supporting Public Health Oriented Social Insurance Compliance Systems

• Author(s): Sandra C. Anioke; Michael Efetobore Atima
• Paper ID: 1713125
• Page: 411-433
• Published Date: 22-12-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 3 Issue 5 November-2019

Abstract

This study proposes a Digital Employer Risk Rating Framework designed to support public health oriented social insurance compliance systems in complex labor markets. The framework integrates regulatory analytics, organizational risk profiling, and digital reporting infrastructures to systematically assess employer compliance behavior and its implications for workforce health protection. Drawing on principles from occupational health and safety governance, social insurance administration, and data driven risk management, the framework establishes standardized indicators capturing payroll integrity, contribution regularity, workplace health practices, incident reporting quality, and responsiveness to regulatory interventions. Using a conceptual design approach, the study synthesizes evidence from public health policy literature, social security compliance models, and digital governance systems to define a multi dimensional employer risk scoring architecture. Advanced analytics, including rule based scoring, anomaly detection, and longitudinal trend analysis, are incorporated to enable early identification of non compliant or high risk employers. The framework emphasizes interoperability with existing social insurance databases, labor inspection systems, and public health surveillance platforms, ensuring real time information exchange and coordinated regulatory responses. From a public health perspective, the framework positions employer compliance as a determinant of population health outcomes by linking contribution behavior to access to healthcare, injury compensation, and preventive services for workers and their dependents. Risk ratings generated through the framework support targeted inspections, graduated enforcement strategies, and employer engagement programs, thereby optimizing regulatory resources and improving system fairness. Additionally, the framework promotes transparency and accountability by providing auditable digital trails and standardized reporting mechanisms. The study argues that digital employer risk rating frameworks can enhance the effectiveness of social insurance systems by shifting compliance management from reactive enforcement to proactive risk prevention. By aligning employer risk intelligence with public health objectives, the proposed framework contributes to improved coverage, reduced occupational health disparities, and strengthened social protection systems. The findings offer practical guidance for policymakers, regulators, and social insurance administrators seeking to modernize compliance oversight through integrated, data driven, and health centered digital solutions. Future implementation can support equitable labor governance, enhance trust among employers and workers, and reinforce sustainable financing of social insurance and national public health systems across diverse economies.

Keywords

Digital risk rating; Employer compliance; Social insurance systems; Public health governance; Regulatory analytics; Occupational health and safety; Digital compliance systems

Citations

IRE Journals:
Sandra C. Anioke, Michael Efetobore Atima "Digital Employer Risk Rating Frameworks Supporting Public Health Oriented Social Insurance Compliance Systems" Iconic Research And Engineering Journals Volume 3 Issue 5 2019 Page 411-433

IEEE:
Sandra C. Anioke, Michael Efetobore Atima "Digital Employer Risk Rating Frameworks Supporting Public Health Oriented Social Insurance Compliance Systems" Iconic Research And Engineering Journals, 3(5)