Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783243984806608896 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5471642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Society of Medical Biochemists of Serbia |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lippigiuseppe patientandsampleidentificationoutofthemaze AT chiozzalaura patientandsampleidentificationoutofthemaze AT mattiuzzicamilla patientandsampleidentificationoutofthemaze AT plebanimario patientandsampleidentificationoutofthemaze |