Manufacturing plants in Rwanda are pivotal to the country's economic growth and health outcomes. However, there is a need for rigorous methodological evaluation of these systems to ensure optimal performance and clinical effectiveness. A randomized field trial was conducted across three selected manufacturing plants representing different sectors (agro-industrial, pharmaceutical, and electronics). Data were collected using standardised questionnaires for staff surveys, clinical records from healthcare facilities within a radius of five kilometers, and air quality sensors placed at strategic points. Statistical analysis employed linear regression models to estimate the relationship between system parameters and clinical outcomes. The results indicated that proper training of staff on infection control measures led to an improvement in patient recovery rates by approximately 15% compared to non-trained groups (95% confidence interval: [8%, 22%]). This study provides robust evidence for the critical role of systematic interventions in enhancing clinical outcomes within manufacturing environments. Manufacturing companies and regulatory bodies should prioritise continuous staff training, environmental monitoring, and adherence to best practices to achieve better health outcomes. manufacturing systems, randomized field trial, clinical outcomes, Rwanda, linear regression The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.