Air pollution, particularly fine particulate matter (PM2.5), has emerged as a significant public health concern, leading to increased hospital admissions and a heightened demand for medical services. This study aimed to investigate the relationship between PM2.5 levels and hospital admissions in provinces surrounding Bangkok through statistical modeling and predictive analysis. The linear regression analysis revealed that for every 10 µg/m³ increase in PM2.5, there was an average increase of 258.1 outpatient visits (p = 0.0489, R² = 0.573) and 13.8 inpatient admissions per hospital (p = 0.0477, R² = 0.577). These findings indicate a statistically significant correlation between PM2.5 levels and the need for hospital services. Predictive models suggest that if PM2.5 levels reach 70 µg/m³, outpatient visits could exceed 2,000 per week, with inpatient admissions surpassing 100 cases. The research highlights a particularly concerning trend among older individuals. These results underscore the urgent need for more stringent air quality standards, the implementation of early warning systems, and the promotion of public health initiatives to mitigate the rising healthcare burden associated with air pollution exposure.