Public health surveillance systems are essential for monitoring infectious diseases in Ghana. However, their effectiveness and reliability remain uncertain. Quasi-experimental design was employed with multivariable regression analysis for outcome assessment. A significant positive correlation (p < 0.05) was found between timely reporting of surveillance data and improved patient recovery rates in Ghanaian hospitals. The quasi-experimental approach effectively identified key strengths and areas needing improvement in the public health surveillance system. Enhancements to training programmes for healthcare workers and investment in infrastructure will improve data accuracy and clinical outcomes. Public Health Surveillance, Quasi-Experimental Design, Clinical Outcomes, Ghanaian Hospitals Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.