Total Laboratory Automation in Clinical Bacteriology

Author(s):  
Susan M. Novak-Weekley ◽  
Elizabeth M. Marlowe
2017 ◽  
Vol 50 (10-11) ◽  
pp. 605-611 ◽  
Author(s):  
Alberto Dolci ◽  
Davide Giavarina ◽  
Sara Pasqualetti ◽  
Dominika Szőke ◽  
Mauro Panteghini

2014 ◽  
Vol 19 (4) ◽  
pp. 419-422 ◽  
Author(s):  
Giorgio Da Rin ◽  
Giuseppe Lippi

2019 ◽  
Vol 57 (6) ◽  
pp. 802-811 ◽  
Author(s):  
Giuseppe Lippi ◽  
Giorgio Da Rin

Abstract Automation is considered one of the most important breakthroughs in the recent history of laboratory diagnostics. In a model of total laboratory automation (TLA), many analyzers performing different types of tests on different sample matrices are physically integrated as modular systems or physically connected by assembly lines. The opportunity to integrate multiple diagnostic specialties to one single track seems effective to improve efficiency, organization, standardization, quality and safety of laboratory testing, whilst also providing a significant return of investment on the long-term and enabling staff requalification. On the other hand, developing a model of TLA also presents some potential problems, mainly represented by higher initial costs, enhanced expenditure for supplies, space requirements and infrastructure constraints, staff overcrowding, increased generation of noise and heat, higher risk of downtime, psychological dependence, critical issues for biospecimen management, disruption of staff trained in specific technologies, along with the risk of transition toward a manufacturer’s-driven laboratory. As many ongoing technological innovations coupled with the current scenario, profoundly driven by cost-containment policies, will promote further diffusion of laboratory automation in the foreseeable future, here we provide a personal overview on some potential advantages and limitations of TLA.


2021 ◽  
Vol 1 (1) ◽  
pp. 07-015
Author(s):  
Assama Riaz ◽  
Dinali Obeysekera ◽  
Kelsie Ruslow

Total Laboratory Automation (TLA) is the future of laboratory diagnostics due to its efficiency, reproducibility, better turnaround time (TATs), precision, sensitivity, and specificity. Microbiology is generally considered a human dependent field and still, most of the microbiology world is confused with TLA implementation. Two better-claimed technologies BD Kiestra InoqulA and Copan WASP have emerged as a well satisfactory solution of microbiology automation in the last decade. Here we design a practical approach and reviewed all studies of BD Kiestra InoqulA and Copan WASP, assessed microbiology samples in a healthcare setting.


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