Automation and Artificial Intelligence in Clinical Laboratory Testing

IKENNA SAMUEL UZOKA 1, * and Evan Chidiogo Chukwuogu 2

1 Department of Public Health, Medical Statistics and Epidemiology, University of Lagos.
2 Department of Medical Laboratory Sciences, Abia State University.
 
Research Article
International Journal of Science and Research Archive, 2021, 03(02), 304-317.
Article DOI: 10.30574/ijsra.2021.3.2.0155
Publication history: 
Received on 03 August 2021; revised on 19 October 2021; accepted on 25 October 2021
 
Abstract: 
Over the years there has been a significant advancement in Clinical laboratory services, which is been influenced by the advancement of automation technologies and artificial intelligence (AI) applications in diagnostic medicine. As healthcare demands increase, laboratory performance is being evaluated not only by technical expertise but also by the ability to deliver fast, accurate, and reliable test results. Research studies shows that manual processes alone are insufficient for maintaining a high quality diagnostic output, which enables laboratories to integrate automated analyzers, digital processing systems, and AI supported tools into routine operations. This study examines the extent of adoption of automation and AI in clinical laboratories and investigates the impact on diagnostic accuracy, diagnostic processing time, procedures efficiency, and staff productivity, while also assessing challenges and personnel readiness.
A descriptive survey design was adopted, and the data were collected from 120 laboratory personnel across selected clinical laboratories. Findings reveals that automation and AI significantly enhance laboratory performance, reducing errors, improving diagnostic precision, and improve operational effectiveness. However, challenges such as limited funding, inadequate infrastructure and insufficient staff training were identified as barriers to implementation. Beyond operational reasons, the research identifies the need for investment and capacity building to utilize the benefits of automation and AI in diagnostic services.
 
Keywords: 
Automation; Artificial Intelligence; Clinical Laboratory Testing; Diagnostic Accuracy; Workflow Efficiency; Laboratory Performance; Staff Productivity
 
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