Antimicrobial Resistance Surveillance and Diagnostic management

Antimicrobial resistance (AMR) has increased globally over recent decades, due to the rise of resistance patterns, limited diagnostic capacity, and persistent gaps in surveillance systems. These challenges continue to prevent early detection efforts and reduce public health responses across diverse health settings. In this context, diagnostic management encompassing laboratory capacity, antimicrobial susceptibility testing, and adoption of rapid diagnostic tools has gained prominence as a important component for enhancing AMR monitoring and informing treatment decisions. This study evaluates the effectiveness of diagnostic management within AMR surveillance frameworks, with a focus on how diagnostic readiness, testing accuracy, diagnostic processing time, and health management practices contribute to the reliability of surveillance outcomes.
A qualitative documentary analysis approach is adopted, integrating evidence from verified global surveillance reports, national situational assessments, peer reviewed studies, and technical policy documents. Findings shows that strong diagnostic systems improve the quality, completeness, and responsiveness of AMR surveillance data, providing both theoretical contributions to AMR literature and practical insights for health system advancement. The study is also significant for guiding policy formulation, resource allocation, and the integration of advanced diagnostics tools in settings where laboratory capacity remains limited.