The impact of laboratory automation on efficiency and accuracy in healthcare settings
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20233857Keywords:
Laboratory automation, Diagnostic efficiency, Analytical precision, Artificial intelligence in healthcare, Clinical management of automationAbstract
Automated sample processing systems, such as handlers, have played a role in expediting specimen handling, especially during emergencies. Additionally, automated analyzers have contributed to increased testing efficiency by enabling high throughput screening and quicker access to information. This article explores how the use of automated technology in laboratories has greatly improved efficiency and accuracy in healthcare settings. By examining the integration of automated systems for processing samples and conducting tests this review highlights the impact automation has had on outcomes. One notable benefit is reduced turnaround times, streamlined workflows, and enhanced precision in diagnostic testing. The incorporation of laboratory information management systems (LIMS) has further improved efficiency through data integration and real-time monitoring. Accuracy is an aspect of processes, and automated systems meticulously adhere to predefined protocols, resulting in reduced error rates and consistently reliable results. The introduction of intelligence (AI) has enhanced accuracy, particularly in image analysis within the pathology and radiology fields. Effective clinical management of laboratory automation entails technology selection planning for implementation and ongoing monitoring. Interoperability between systems, continuous education on advancements, and efficient workforce management are all crucial components for successful implementation. Despite challenges faced along the way, adopting laboratory automation is essential for optimizing laboratories' workflows while delivering timely information. The review consistently affirms laboratory automation's valid influence in improving efficiency and accuracy within healthcare environments.
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References
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