Public health surveillance networks are essential for monitoring disease outbreaks and managing health risks in populations. In Ghana, these systems face challenges related to reliability and efficiency. A randomized field trial was conducted across multiple sites in Ghana. The system's response time, accuracy, and data integrity were measured using statistical models such as logistic regression to assess reliability. The analysis revealed that the average response time for health alerts was 48 hours (mean ± SD: 25 min, CI: [36-54] minutes) with a proportion of errors in reporting at 10% (95% CI: [7%-13%]). The findings suggest that improvements are needed to enhance the reliability and efficiency of public health surveillance systems in Ghana. To improve system reliability, training programmes for staff should be implemented, and data management protocols need adjustment to reduce error rates. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.