Laboratory automation in clinical bacteriology: what system to choose?
| Autor: | Antony Croxatto, Guy Prod'hom, Y. Rochais, F. Faverjon, Gilbert Greub |
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| Rok vydání: | 2015 |
| Předmět: |
0301 basic medicine
Microbiology (medical) digital imaging specimen processor telebacteriology 030106 microbiology diagnostic Economic shortage smart incubators Automation 03 medical and health sciences Software Information system inoculation Medicine Humans Automation Laboratory Bacteriological Techniques business.industry Bacteriology General Medicine 030104 developmental biology Workflow Infectious Diseases Laboratory automation Systems engineering business Laboratories |
| Zdroj: | Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases. 22(3) |
| ISSN: | 1469-0691 |
| Popis: | Automation was introduced many years ago in several diagnostic disciplines such as chemistry, haematology and molecular biology. The first laboratory automation system for clinical bacteriology was released in 2006, and it rapidly proved its value by increasing productivity, allowing a continuous increase in sample volumes despite limited budgets and personnel shortages. Today, two major manufacturers, BD Kiestra and Copan, are commercializing partial or complete laboratory automation systems for bacteriology. The laboratory automation systems are rapidly evolving to provide improved hardware and software solutions to optimize laboratory efficiency. However, the complex parameters of the laboratory and automation systems must be considered to determine the best system for each given laboratory. We address several topics on laboratory automation that may help clinical bacteriologists to understand the particularities and operative modalities of the different systems. We present (a) a comparison of the engineering and technical features of the various elements composing the two different automated systems currently available, (b) the system workflows of partial and complete laboratory automation, which define the basis for laboratory reorganization required to optimize system efficiency, (c) the concept of digital imaging and telebacteriology, (d) the connectivity of laboratory automation to the laboratory information system, (e) the general advantages and disadvantages as well as the expected impacts provided by laboratory automation and (f) the laboratory data required to conduct a workflow assessment to determine the best configuration of an automated system for the laboratory activities and specificities. |
| Databáze: | OpenAIRE |
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