Clinical outcomes in Rwanda have seen significant improvements due to established field research stations (FRSs). However, there is a need for methodological evaluation of these systems to ensure their effectiveness and efficiency. This intervention study employs a mixed-method approach, including quantitative data analysis from existing FRSs across different regions of Rwanda. Panel data estimation techniques such as fixed effects models are used to analyse longitudinal patient outcomes over time. Robust standard errors and likelihood intervals are applied to account for potential measurement bias. Panel data analysis revealed a positive correlation between the number of clinical visits conducted by FRSs and reported improvements in health indicators, with an average increase of 15% in treatment efficacy measured over two years. The findings suggest that while current methods are effective in measuring clinical outcomes, they can be optimised to provide more comprehensive data on patient care and public health interventions. Recommendations include the standardisation of measurement tools across FRSs, incorporating real-time feedback mechanisms for continuous improvement, and increasing access to technology to support longitudinal studies. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.