Published 2024-02-10
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
Laboratory testing is a cornerstone of medical diagnosis, scientific investigation, and quality assurance across a wide range of industries. Traditionally, laboratory procedures have relied heavily on manual operations, with personnel responsible for handling samples, interpreting results, and managing data records (AL Thagafi et al., 2022). However, the growing demand for testing services, coupled with increasingly complex analytical procedures and the need for rapid turnaround times, has exposed the limitations of manual laboratory workflows. These pressures have accelerated the adoption of automation and digitalization, which offer solutions for improving precision, minimizing human error, and enhancing overall laboratory performance (Holland & Davies, 2020). As a result, automated technologies have become essential components of modern laboratories, delivering more standardized and dependable results across multiple sectors (Tyagi et al., 2020).