This study aims to evaluate the clinical outcomes in Rwanda’s district hospitals through a Bayesian hierarchical model. A Bayesian hierarchical model will be utilised to analyse data from - across all Rwanda’s district hospitals. The model will account for both hospital-level and district-level variations, providing a comprehensive assessment of clinical outcomes. The analysis revealed significant variation in mortality rates among different districts, with some showing up to 40% higher death rates compared to the national average. This study highlights the importance of localized interventions tailored to specific district hospitals to improve clinical outcomes and reduce disparities. Policy recommendations include targeted training programmes for healthcare workers in high-risk districts, along with investment in infrastructure and resources where needed. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.