Literature DB >> 21663564

Closing the brain-to-brain loop in laboratory testing.

Mario Plebani1, Giuseppe Lippi.   

Abstract

Abstract The delivery of laboratory services has been described 40 years ago and defined with the foremost concept of "brain-to-brain turnaround time loop". This concept consists of several processes, including the final step which is the action undertaken on the patient based on laboratory information. Unfortunately, the need for systematic feedback to improve the value of laboratory services has been poorly understood and, even more risky, poorly applied in daily laboratory practice. Currently, major problems arise from the unavailability of consensually accepted quality specifications for the extra-analytical phase of laboratory testing. This, in turn, does not allow clinical laboratories to calculate a budget for the "patient-related total error". The definition and use of the term "total error" refers only to the analytical phase, and should be better defined as "total analytical error" to avoid any confusion and misinterpretation. According to the hierarchical approach to classify strategies to set analytical quality specifications, the "assessment of the effect of analytical performance on specific clinical decision-making" is comprehensively at the top and therefore should be applied as much as possible to address analytical efforts towards effective goals. In addition, an increasing number of laboratories worldwide are adopting risk management strategies such as FMEA, FRACAS, LEAN and Six Sigma since these techniques allow the identification of the most critical steps in the total testing process, and to reduce the patient-related risk of error. As a matter of fact, an increasing number of laboratory professionals recognize the importance of understanding and monitoring any step in the total testing process, including the appropriateness of the test request as well as the appropriate interpretation and utilization of test results.

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Year:  2011        PMID: 21663564     DOI: 10.1515/CCLM.2011.617

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


  7 in total

1.  A new device to relieve venipuncture pain can affect haematology test results.

Authors:  Gabriel Lima-Oliveira; Giuseppe Lippi; Gian Luca Salvagno; Marise Danielle Raulino Campelo; Katharyne Soares Adala Tajra; Flavio dos Santos Gomes; Carlos David Valentim; Sylvio José Colonna Romano; Geraldo Picheth; Gian Cesare Guidi
Journal:  Blood Transfus       Date:  2013-07-18       Impact factor: 3.443

2.  Inappropriateness in laboratory medicine: an elephant in the room?

Authors:  Giuseppe Lippi; Chiara Bovo; Marcello Ciaccio
Journal:  Ann Transl Med       Date:  2017-02

3.  Assessing Perceived Challenges to Laboratory Testing at a Malawian Referral Hospital.

Authors:  Lia G Petrose; Arielle M Fisher; Gerald P Douglas; Martha A Terry; Adamson Muula; Marlen S Chawani; Henry Limula; Julia Driessen
Journal:  Am J Trop Med Hyg       Date:  2016-03-28       Impact factor: 2.345

4.  Errors in the Extra-Analytical Phases of Clinical Chemistry Laboratory Testing.

Authors:  Annalise E Zemlin
Journal:  Indian J Clin Biochem       Date:  2017-05-05

5.  Fasting conditions: Influence of water intake on clinical chemistry analytes.

Authors:  Silvia F Benozzi; Gisela Unger; Amparo Campion; Graciela L Pennacchiotti
Journal:  Biochem Med (Zagreb)       Date:  2017-11-24       Impact factor: 2.313

6.  Opinion: redefining the role of the physician in laboratory medicine in the context of emerging technologies, personalised medicine and patient autonomy ('4P medicine').

Authors:  Matthias Orth; Maria Averina; Stylianos Chatzipanagiotou; Gilbert Faure; Alexander Haushofer; Vesna Kusec; Augusto Machado; Siraj A Misbah; Wytze Oosterhuis; Kari Pulkki; Patrick J Twomey; Eberhard Wieland
Journal:  J Clin Pathol       Date:  2017-12-22       Impact factor: 3.411

7.  Impact of Individualized Hemolysis Management Based on Biological Variation Cut-offs in a Clinical Laboratory.

Authors:  Fernando Marques-Garcia; David Hansoe Heredero Jung; Sandra Elena Pérez
Journal:  Ann Lab Med       Date:  2022-03-01       Impact factor: 3.464

  7 in total

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