Manufacturing systems play a critical role in South Africa's economy and energy sector. However, there is a need to evaluate the efficiency and effectiveness of these systems, particularly in clinical outcomes measurement. A randomized field trial was designed to assess the manufacturing systems' capability in measuring clinical outcomes. Key parameters such as precision, consistency, and reliability were measured across different plants. Statistical analysis with robust standard errors will be employed to ensure accurate inference. The results indicate a significant improvement (p < 0.05) in measurement accuracy when using standardised protocols compared to current practices, highlighting the need for systematic adoption of these methods. This study provides empirical evidence that demonstrates the potential benefits of adopting standardised clinical outcome measurement systems within South African manufacturing plants. Based on the findings, we recommend the implementation of a comprehensive training programme and the standardization of protocols to enhance accuracy in measuring clinical outcomes across all manufacturing sectors in South Africa. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.