In resource-limited settings such as Congo, access to advanced biomedical diagnostic devices is often constrained by financial and logistical challenges. A multidisciplinary approach involving collaboration between engineers, clinicians, and local communities to design and test new diagnostic devices. The newly developed point-of-care diagnostic devices demonstrated an average sensitivity rate of 95% in identifying pathogens compared to traditional methods. These innovations not only improve diagnostic outcomes but also reduce the time required for testing by up to 30%. Further implementation should include training local healthcare workers and establishing sustainable supply chains. Biomedical Engineering, Resource-Limited Settings, Diagnostic Devices, Point-of-Care Testing The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.