This study focuses on methodological evaluation of rural clinics in Kenya, highlighting a need for improved healthcare delivery systems to enhance clinical outcomes. A mixed-methods approach involving quantitative data collection through standardised health surveys and observational checks of clinic records, complemented by qualitative interviews with healthcare providers and patients. Statistical analysis includes regression models to estimate relationships between clinic systems and clinical outcomes. The preliminary results indicate a significant improvement in patient recovery times (mean reduction of 15% from baseline) following implementation of improved diagnostic tools at rural clinics. This study underscores the effectiveness of enhanced diagnostic equipment in reducing treatment durations, suggesting a robust method for improving healthcare delivery in underserved areas. Rural health authorities should prioritise investment in diagnostic technology and ongoing training for clinic staff to sustain these improvements. Quasi-experimental design, rural clinics, clinical outcomes, Kenya, regression analysis Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.