Literature DB >> 28179154

Managing the patient identification crisis in healthcare and laboratory medicine.

Giuseppe Lippi1, Camilla Mattiuzzi2, Chiara Bovo3, Emmanuel J Favaloro4.   

Abstract

Identification errors have emerged as critical issues in health care, as testified by the ample scientific literature on this argument. Despite available evidence suggesting that the frequency of misidentification in vitro laboratory diagnostic testing may be relatively low compared to that of other laboratory errors (i.e., usually comprised between 0.01 and 0.1% of all specimens received), the potential adverse consequences remain particularly worrying, wherein 10-20% of these errors not only would translate into serious harm for the patient, but may also erode considerable human and economic resources, so that the entire healthcare system should be re-engineered to act proactively and limiting the burden of this important problem. The most important paradigms for reducing the chance of misidentification in healthcare entail the widespread use of more than two unique patient identifiers, the accurate education and training of healthcare personnel, the delivery of more resources for patient safety (i.e., implementation of safer technological tools), and the use of customized solutions according to local organization and resources. Moreover, after weighing advantages and drawbacks, labeling blood collection tubes before and not after venipuncture may be considered a safer practice for safeguarding patient safety and optimizing phlebotomist's activity.
Copyright © 2017 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Errors; Identification; Laboratory medicine; Misidentification; Patient safety

Mesh:

Year:  2017        PMID: 28179154     DOI: 10.1016/j.clinbiochem.2017.02.004

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  4 in total

1.  Evaluation of real-world referential and probabilistic patient matching to advance patient identification strategy.

Authors:  Shaun J Grannis; Jennifer L Williams; Suranga Kasthuri; Molly Murray; Huiping Xu
Journal:  J Am Med Inform Assoc       Date:  2022-07-12       Impact factor: 7.942

2.  Idéfix: identifying accidental sample mix-ups in biobanks using polygenic scores.

Authors:  Robert Warmerdam; Pauline Lanting; Patrick Deelen; Lude Franke
Journal:  Bioinformatics       Date:  2021-11-18       Impact factor: 6.937

3.  Comparison of a palm-based biometric solution with a name-based identification system in rural Bangladesh.

Authors:  Fatema Khatun; Rebecca Distler; Monjur Rahman; Brian O'Donnell; Noni Gachuhi; Manoj Alwani; Yang Wang; Anisur Rahman; J Frederik Frøen; Ingrid K Friberg
Journal:  Glob Health Action       Date:  2022-12-31       Impact factor: 2.996

4.  Using information technology to optimize the identification process for outpatients having blood drawn and improve patient satisfaction.

Authors:  Li-Feng Wu; Guo-Hua Zhuang; Qi-Lei Hu; Liang Zhang; Zhang-Mei Luo; Yin-Jiang Lv; Jian Tang
Journal:  BMC Med Inform Decis Mak       Date:  2022-03-10       Impact factor: 2.796

  4 in total

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