Decentralized Testing in Medical Laboratories: A New Era of Point-of-Care Diagnostics

Abstract

This paper argues that the growing pressure to deliver more accurate test results within short time has become a major concern in the testing industry in general and healthcare system in particular. This research aims to explore the efficiency of decentralized POC diagnostic modality in contrast to the centralized laboratory counterpart, specifically; turn-around time, cost, diagnostic accuracies and users’ satisfaction. The study aim was to evaluate the relationship between decentralised testing systems and the overall improvement of health care in particular in developing nations. Quantitative research methodology was used through collecting data from the simulated POC devices, results obtained from the centralized laboratory for different parameters including glucose, hemoglobin and CRP etc. Analytical index including turn around time hours per test, cost per test, and user feedback scores were evaluated. Pearson’s correlation analysis test was then used to determine the nature of relationship existing amongst these factors. These findings highlighted improved TAT with POC systems (8–15 minutes) with faster turnaround than centralized labs (2–3 hours), high diagnostic yield (sensitivity and specificity of more than 95%) and cost effectiveness, with an averagable of $2.50 – $4.50 Vs $12 – $19 in centralized labs. The satisfaction with the application was described as high since it received ratings of 8 to 9 of out of 10 from users indicating that the application was convenient, and the results were quickly generated. Altogether, decentralized POC diagnostics are more economical, fast, and accurate as a measure compared to centralized laboratory testing. From the study outcomes it is recommended that the implementation of POC systems at health related facilities and more so in the environments with limited resources is beneficial in enhancing patient outcomes and clinical decisions. The findings of this research complements prior work in attempting to advance decentralized testing as a progressive solution for contemporary healthcare.