Literature DB >> 26485253

Pre-analytical phase: The automated ProTube device supports quality assurance in the phlebotomy process.

Elisa Piva1, Francesca Tosato2, Mario Plebani3.   

Abstract

BACKGROUND: Most errors in laboratory medicine occur in the pre-analytical phase of the total testing process. Phlebotomy, a crucial step in the pre-analytical phase influencing laboratory results and patient outcome, calls for quality assurance procedures and automation in order to prevent errors and ensure patient safety.
METHODS: We compared the performance of a new small, automated device, the ProTube Inpeco, designed for use in phlebotomy with a complete traceability of the process, with a centralized automated system, BC ROBO.
RESULTS: ProTube was used for 15,010 patients undergoing phlebotomy with 48,776 tubes being labeled. The mean time and standard deviation (SD) for blood sampling was 3:03 (min:sec; SD ± 1:24) when using ProTube, against 5:40 (min:sec; SD ± 1:57) when using BC ROBO. The mean number of patients per hour managed at each phlebotomy point was 16 ± 3 with ProTube, and 10 ± 2 with BC ROBO. No tubes were labeled erroneously or incorrectly, even if process failure occurred in 2.8% of cases when ProTube was used.
CONCLUSIONS: Thanks to its cutting edge technology, the ProTube has many advantages over BC ROBO, above all in verifying patient identity, and in allowing a reduction in both identification error and tube mislabeling.

Entities:  

Keywords:  Automated tube labeling; Patient identification; Patient safety; Phlebotomy; Pre-analytical errors

Mesh:

Year:  2015        PMID: 26485253     DOI: 10.1016/j.cca.2015.10.010

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  2 in total

1.  Patient and Sample Identification. Out of the Maze?

Authors:  Giuseppe Lippi; Laura Chiozza; Camilla Mattiuzzi; Mario Plebani
Journal:  J Med Biochem       Date:  2017-04-22       Impact factor: 3.402

2.  New Solutions for the Sample Transport and Results Delivery: A Digital Lab.

Authors:  Damien Gruson
Journal:  EJIFCC       Date:  2018-11-07
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.