Literature DB >> 19302988

Pre-analytical workstations: a tool for reducing laboratory errors.

Giorgio Da Rin1.   

Abstract

Laboratory testing, a highly complex process commonly called the total testing process (TTP), is usually subdivided into three traditional (pre-, intra-, and post-) analytical phases. The majority of errors in TTP originate in the pre-analytical phase, being due to individual or system design defects. In order to reduce errors in TTP, the pre-analytical phase should therefore be prioritized. In addition to developing procedures, providing training, improving interdepartmental cooperation, information technology and robotics may be a tool to reduce errors in specimen collection and pre-analytical sample handling. It has been estimated that >2000 clinical laboratories worldwide use total or subtotal automation supporting pre-analytic activities, with a high rate of increase compared to 2007; the need to reduce errors seems to be the catalyst for increasing the use of robotics. Automated systems to prevent medical personnel from drawing blood from the wrong patient were introduced commercially in the early 1990s. Correct patient identification and test tube labelling before phlebotomy are of extreme importance for patient safety in TTP, but currently few laboratories are interested in such products. At San Bassiano hospital, the implementation of advanced information technology and robotics in the pre-analytical phase (specimen collection and pre-analytical sample handling) have improved accuracy, and clinical efficiency of the laboratory process and created a TTP that minimizes errors.

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Year:  2009        PMID: 19302988     DOI: 10.1016/j.cca.2009.03.024

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


  18 in total

1.  Effect of pre-analytical errors on quality of laboratory medicine at a neuropsychiatry institute in north India.

Authors:  Neelam Chhillar; Sarbjeet Khurana; Rachna Agarwal; Neeraj Kumar Singh
Journal:  Indian J Clin Biochem       Date:  2010-11-16

Review 2.  Point-of-care blood glucose testing for diabetes care in hospitalized patients: an evidence-based review.

Authors:  Rajesh Rajendran; Gerry Rayman
Journal:  J Diabetes Sci Technol       Date:  2014-06-05

3.  The importance of communicating histories of gender assignment and reassignment to genetic laboratories.

Authors:  Jess F Peterson; Peggy J Andringa; John W Grignon; Peter vanTuinen
Journal:  Genet Med       Date:  2017-04-27       Impact factor: 8.822

4.  On the improvement of blood sample collection at clinical laboratories.

Authors:  Alex Grasas; Helena Ramalhinho; Luciana S Pessoa; Mauricio G C Resende; Imma Caballé; Nuria Barba
Journal:  BMC Health Serv Res       Date:  2014-01-09       Impact factor: 2.655

5.  Types and Frequency of Errors during Different Phases of Testing At a Clinical Medical Laboratory of a Teaching Hospital in Tehran, Iran.

Authors:  Alireza Abdollahi; Hiva Saffar; Hana Saffar
Journal:  N Am J Med Sci       Date:  2014-05

6.  Clinical biochemistry laboratory rejection rates due to various types of preanalytical errors.

Authors:  Aysenur Atay; Leyla Demir; Serap Cuhadar; Gulcan Saglam; Hulya Unal; Saliha Aksun; Banu Arslan; Asuman Ozkan; Recep Sutcu
Journal:  Biochem Med (Zagreb)       Date:  2014-10-15       Impact factor: 2.313

Review 7.  A review article of the reduce errors in medical laboratories.

Authors:  Zuhair M Mohammedsaleh; Fayez Mohammedsaleh
Journal:  Glob J Health Sci       Date:  2014-07-29

8.  Institutional practices and policies in acid-base testing: a self reported Croatian survey study on behalf of the Croatian society of medical biochemistry and laboratory medicine Working Group for acid-base balance.

Authors:  Lora Dukić; Ana-Maria Simundić
Journal:  Biochem Med (Zagreb)       Date:  2014-06-15       Impact factor: 2.313

9.  Efficiency of an automated reception and turnaround time management system for the phlebotomy room.

Authors:  Soon Gyu Yun; Jeong Won Shin; Eun Su Park; Hae In Bang; Jung Gu Kang
Journal:  Ann Lab Med       Date:  2016-01       Impact factor: 3.464

10.  Reduction in Hospital-Wide Clinical Laboratory Specimen Identification Errors following Process Interventions: A 10-Year Retrospective Observational Study.

Authors:  Hsiao-Chen Ning; Chia-Ni Lin; Daniel Tsun-Yee Chiu; Yung-Ta Chang; Chiao-Ni Wen; Shu-Yu Peng; Tsung-Lan Chu; Hsin-Ming Yu; Tsu-Lan Wu
Journal:  PLoS One       Date:  2016-08-05       Impact factor: 3.240

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