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Patient and Sample Identification. Out of the Maze?

Patient and sample misidentification may cause significant harm or discomfort to the patients, especially when incorrect data is used for performing specific healthcare activities. It is hence obvious that efficient and quality care can only start from accurate patient identification. There are many...

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Autores principales: Lippi, Giuseppe, Chiozza, Laura, Mattiuzzi, Camilla, Plebani, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Medical Biochemists of Serbia 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471642/
https://www.ncbi.nlm.nih.gov/pubmed/28680353
http://dx.doi.org/10.1515/jomb-2017-0003
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author Lippi, Giuseppe
Chiozza, Laura
Mattiuzzi, Camilla
Plebani, Mario
author_facet Lippi, Giuseppe
Chiozza, Laura
Mattiuzzi, Camilla
Plebani, Mario
author_sort Lippi, Giuseppe
collection PubMed
description Patient and sample misidentification may cause significant harm or discomfort to the patients, especially when incorrect data is used for performing specific healthcare activities. It is hence obvious that efficient and quality care can only start from accurate patient identification. There are many opportunities for misidentification in healthcare and laboratory medicine, including homonymy, incorrect patient registration, reliance on wrong patient data, mistakes in order entry, collection of biological specimens from wrong patients, inappropriate sample labeling and inaccurate entry or erroneous transmission of test results through the laboratory information system. Many ongoing efforts are made to prevent this important healthcare problem, entailing streamlined strategies for identifying patients throughout the healthcare industry by means of traditional and innovative identifiers, as well as using technologic tools that may enhance both the quality and efficiency of blood tubes labeling. The aim of this article is to provide an overview about the liability of identification errors in healthcare, thus providing a pragmatic approach for diverging the so-called patient identification crisis.
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spelling pubmed-54716422017-07-05 Patient and Sample Identification. Out of the Maze? Lippi, Giuseppe Chiozza, Laura Mattiuzzi, Camilla Plebani, Mario J Med Biochem Review Article Patient and sample misidentification may cause significant harm or discomfort to the patients, especially when incorrect data is used for performing specific healthcare activities. It is hence obvious that efficient and quality care can only start from accurate patient identification. There are many opportunities for misidentification in healthcare and laboratory medicine, including homonymy, incorrect patient registration, reliance on wrong patient data, mistakes in order entry, collection of biological specimens from wrong patients, inappropriate sample labeling and inaccurate entry or erroneous transmission of test results through the laboratory information system. Many ongoing efforts are made to prevent this important healthcare problem, entailing streamlined strategies for identifying patients throughout the healthcare industry by means of traditional and innovative identifiers, as well as using technologic tools that may enhance both the quality and efficiency of blood tubes labeling. The aim of this article is to provide an overview about the liability of identification errors in healthcare, thus providing a pragmatic approach for diverging the so-called patient identification crisis. Society of Medical Biochemists of Serbia 2017-04-22 /pmc/articles/PMC5471642/ /pubmed/28680353 http://dx.doi.org/10.1515/jomb-2017-0003 Text en © by Giuseppe Lippi. http://creativecommons.org/licenses/by-nc-nd/4.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
spellingShingle Review Article
Lippi, Giuseppe
Chiozza, Laura
Mattiuzzi, Camilla
Plebani, Mario
Patient and Sample Identification. Out of the Maze?
title Patient and Sample Identification. Out of the Maze?
title_full Patient and Sample Identification. Out of the Maze?
title_fullStr Patient and Sample Identification. Out of the Maze?
title_full_unstemmed Patient and Sample Identification. Out of the Maze?
title_short Patient and Sample Identification. Out of the Maze?
title_sort patient and sample identification. out of the maze?
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471642/
https://www.ncbi.nlm.nih.gov/pubmed/28680353
http://dx.doi.org/10.1515/jomb-2017-0003
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