Community health centres (CHCs) in Ghana play a crucial role in providing primary healthcare services to underserved populations. Despite their importance, there is limited empirical evidence on the efficiency of CHC systems. The study will employ a Panel Data Estimation model (e.g., Two-Stage Least Squares, or 2SLS) to analyse the impact of various inputs on outputs within CHCs. Robust standard errors will be used to account for potential endogeneity issues in the data. Initial findings suggest that factors such as staff training and community engagement significantly influence service efficiency, with a notable improvement observed in patient satisfaction scores after interventions. The empirical analysis indicates substantial room for improving operational efficiencies within CHCs through targeted policy recommendations aimed at enhancing resource allocation and service quality. Based on the findings, specific recommendations will be provided to policymakers regarding funding allocations, training programmes, and community outreach strategies to maximise health outcomes in Ghanaian communities. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.