Literature DB >> 30710480

Advantages and limitations of total laboratory automation: a personal overview.

Giuseppe Lippi1, Giorgio Da Rin2.   

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.

Keywords:  cost; diagnostic testing; effectiveness; laboratory automation

Mesh:

Year:  2019        PMID: 30710480     DOI: 10.1515/cclm-2018-1323

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  11 in total

1.  A semi-automated device rapidly determine circulating blood volume in healthy males and carbon monoxide uptake kinetics of arterial and venous blood.

Authors:  Andreas Breenfeldt Andersen; Søren Brouw Baungaard; Jacob Bejder; Jonathan Graae; Ana-Marija Hristovska; Marianne Agerskov; Henrik Holm-Sørensen; Nicolai Bang Foss
Journal:  J Clin Monit Comput       Date:  2022-10-06       Impact factor: 1.977

Review 2.  Review of Scavenged Sampling for Sustainable Therapeutic Drug Monitoring: Do More With Less.

Authors:  Stef Schouwenburg; Robin F J van der Klip; Tim J L Smeets; Nicole G M Hunfeld; Robert B Flint; Matthijs de Hoog; Henrik Endeman; Birgit C P Koch; Enno D Wildschut; Alan Abdulla
Journal:  Ther Drug Monit       Date:  2022-02-01       Impact factor: 3.118

3.  Integrating Scalable Genome Sequencing Into Microbiology Laboratories for Routine Antimicrobial Resistance Surveillance.

Authors:  Mihir Kekre; Stefany Alejandra Arevalo; María Fernanda Valencia; Marietta L Lagrada; Polle Krystle V Macaranas; Geetha Nagaraj; Anderson O Oaikhena; Agnettah M Olorosa; David M Aanensen
Journal:  Clin Infect Dis       Date:  2021-12-01       Impact factor: 9.079

Review 4.  Total Laboratory Automation for Rapid Detection and Identification of Microorganisms and Their Antimicrobial Resistance Profiles.

Authors:  Abdessalam Cherkaoui; Jacques Schrenzel
Journal:  Front Cell Infect Microbiol       Date:  2022-02-03       Impact factor: 5.293

5.  Digital Morphology Analyzer Sysmex DI-60 vs. Manual Counting for White Blood Cell Differentials in Leukopenic Samples: A Comparative Assessment of Risk and Turnaround Time.

Authors:  Minjeong Nam; Sumi Yoon; Mina Hur; Gun Hyuk Lee; Hanah Kim; Mikyoung Park; Hyeong Nyeon Kim
Journal:  Ann Lab Med       Date:  2022-07-01       Impact factor: 4.941

6.  Towards Robot-Assisted Therapy for Children With Autism-The Ontological Knowledge Models and Reinforcement Learning-Based Algorithms.

Authors:  Intissar Salhi; Mohammed Qbadou; Soukaina Gouraguine; Khalifa Mansouri; Chris Lytridis; Vassilis Kaburlasos
Journal:  Front Robot AI       Date:  2022-04-06

7.  New Analytical Approach for the Alignment of Different HE4 Automated Immunometric Systems: An Italian Multicentric Study.

Authors:  Antonio Angeloni; Corrado De Vito; Antonella Farina; Daniela Terracciano; Michele Cennamo; Rita Passerini; Fabio Bottari; Annalisa Schirinzi; Roberto Vettori; Agostino Steffan; Valerio Mais; Ferdinando Coghe; Luigi Della Corte; Giuseppe Bifulco; Valentina Baccolini; Elena Berardelli; Giuseppe Migliara; Emanuela Anastasi
Journal:  J Clin Med       Date:  2022-04-02       Impact factor: 4.241

8.  Project Management in Laboratory Medicine.

Authors:  Giuseppe Lippi; Camilla Mattiuzzi
Journal:  J Med Biochem       Date:  2019-07-30       Impact factor: 3.402

9.  Benefits of VISION Max automated cross-matching in comparison with manual cross-matching: A multidimensional analysis.

Authors:  Hee-Jung Chung; Mina Hur; Sang Gyeu Choi; Hyun-Kyung Lee; Seungho Lee; Hanah Kim; Hee-Won Moon; Yeo-Min Yun
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

10.  Economic Evaluation of Total Laboratory Automation in the Clinical Laboratory of a Tertiary Care Hospital.

Authors:  KyungYi Kim; Sang-Guk Lee; Tae Hyun Kim; Sang Gyu Lee
Journal:  Ann Lab Med       Date:  2022-01-01       Impact factor: 3.464

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