Abstract
{ "background": "The healthcare system in Libya faces significant challenges in delivering timely diagnostics due to resource constraints, infrastructure damage, and logistical difficulties. This creates a critical need for robust, portable, and low-cost point-of-care (POC) diagnostic technologies.", "purpose and objectives": "This technical review evaluates current biomedical engineering innovations in POC diagnostics, with the objective of identifying feasible solutions tailored for resource-limited settings. It aims to provide a structured analysis of device specifications, adaptability, and implementation pathways.", "methodology": "A systematic technical review was conducted, focusing on peer-reviewed literature and grey sources detailing POC device engineering. Devices were evaluated against a framework incorporating technical performance, cost, usability, and environmental robustness. A logistic regression model, $\\logit(p) = \\beta0 + \\beta1 X1 + \\beta2 X_2$, was used to analyse factors influencing deployment feasibility, with robust standard errors estimated to account for heterogeneous data sources.", "findings": "The analysis identified that microfluidic-based lateral flow assays and smartphone-integrated optical sensors represent the most promising directions, with over 60% of reviewed solutions falling into these categories. The statistical model indicated a strong positive association between device feasibility and modular design (p < 0.01, 95% CI: 1.2 to 3.4). A key theme was the necessity for devices to operate with minimal external power and calibration.", "conclusion": "Biomedical engineering offers viable pathways to strengthen diagnostic capacity in constrained environments through appropriately designed POC technologies. Successful adoption hinges on selecting devices that align with local technical capabilities and supply chains.", "recommendations": "Prioritise the development and procurement of modular, low-power POC devices. Establish regional technical hubs for maintenance and training. Foster collaborations between local clinical engineers and international developers to co-create context-specific solutions.", "key words": "Point-of-care diagnostics, biomedical engineering, resource-limited settings, microfluidics, health technology, medical devices",