Predictive modeling of corporate financial risk and its implications for health economics and public health efficiency

Introduction This study investigates the relationship between corporate financial risk and public health efficiency by developing a unified analytical framework that integrates financial risk prediction with health economic outcomes. We first establish a conceptual mechanism through which corporate financial instability affects public health systems via three primary pathways: direct effects through reduced healthcare funding and resource constraints, indirect effects through employment instability and changes in insurance coverage, and systemic effects through broader macroeconomic disruptions. Methods Building on this framework, we propose the Risk Economic Health Nexus Model (REHNM), which combines probabilistic modeling, latent variable inference, and multimodal data integration to capture the complex and uncertain relationships between financial indicators and health outcomes. To account for temporal dynamics and external influences, we further introduce the Dynamic Risk Assessment Model (DRAM), enabling the model to track evolving financial conditions and the