Evaluating the efficacy of automated systems in Blood Sample Analysis

Abstract

This study focuses on accuracy, efficiency, and dependability while methodically evaluating the efficacy of automated methods in blood sample analysis. Examined are several aspects such as accuracy, sensitivity, specificity, and calibration stability to determine how well the system performs in terms of accuracy and consistency. A comparison with manual techniques, speed and throughput considerations, and an analysis of reproducibility through intra- and inter-assay variability are all part of the assessment process. For measuring the research used smart PLS software and generate result included descriptive statistic, correlation coefficient also that present smart PLS Algorithm model between them. The practical execution of user interface design, convenience of use, and training needs is assessed, and the correctness of the system is continuously ensured by quality control procedures such as internal and external proficiency testing. Cost-effectiveness factors include consumables, maintenance, and total cost of ownership. Data security, regulatory compliance, and interaction with laboratory information systems. Healthcare professionals and laboratory managers can make well-informed decisions about the adoption and implementation of automated systems in blood sample analysis by consulting the thorough evaluation provided in this study, which offers insightful information about the overall effectiveness of these systems. Overall result founded that significantly relation between them. The results of this study have the potential to improve the effectiveness and dependability of diagnostic procedures in contemporary healthcare settings