Literature DB >> 15555752

Identification errors in pathology and laboratory medicine.

Paul N Valenstein1, Ronald L Sirota.   

Abstract

Identification errors involve misidentification of a patient or a specimen. Either has the potential to cause patients harm. Identification errors can occur during any part of the test cycle; however, most occur in the preanalytic phase. Patient identification errors in transfusion medicine occur in 0.05% of specimens; for general laboratory specimens the rate is much higher, around 1%. Anatomic pathology, which involves multiple specimen transfers and hand-offs, may have the highest identification error rate. Certain unavoidable cognitive failures lead to identification errors. Technology, ranging from bar-coded specimen labels to radio frequency identification tags, can be incorporated into protective systems that have the potential to detect and correct human error and reduce the frequency with which patients and specimens are misidentified.

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Year:  2004        PMID: 15555752     DOI: 10.1016/j.cll.2004.05.013

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  9 in total

Review 1.  Effectiveness of barcoding for reducing patient specimen and laboratory testing identification errors: a Laboratory Medicine Best Practices systematic review and meta-analysis.

Authors:  Susan R Snyder; Alessandra M Favoretto; James H Derzon; Robert H Christenson; Stephen E Kahn; Colleen S Shaw; Rich Ann Baetz; Diana Mass; Corinne R Fantz; Stephen S Raab; Milenko J Tanasijevic; Edward B Liebow
Journal:  Clin Biochem       Date:  2012-06-28       Impact factor: 3.281

2.  Specimen Identification Errors in Breast Biopsies: Age Matters. Report of Two Near-Miss Events and Review of the Literature.

Authors:  Gary Tozbikian; Mary L Gemignani; Edi Brogi
Journal:  Breast J       Date:  2017-03-16       Impact factor: 2.431

Review 3.  Managing the pre- and post-analytical phases of the total testing process.

Authors:  Robert Hawkins
Journal:  Ann Lab Med       Date:  2011-12-20       Impact factor: 3.464

4.  How often are Patients Harmed When They Visit the Computed Tomography Suite? A Multi-year Experience, in Incident Reporting, in a Large Academic Medical Center.

Authors:  Mohammad Mansouri; Shima Aran; Khalid W Shaqdan; Hani H Abujudeh
Journal:  Eur Radiol       Date:  2015-11-11       Impact factor: 5.315

5.  Fluorescence detection, enumeration and characterization of single circulating cells in vivo: technology, applications and future prospects.

Authors:  Carolin Hartmann; Roshani Patil; Charles P Lin; Mark Niedre
Journal:  Phys Med Biol       Date:  2017-12-14       Impact factor: 3.609

6.  A Proposed Set of Metrics to Reduce Patient Safety Risk From Within the Anatomic Pathology Laboratory.

Authors:  Peter Banks; Richard Brown; Alex Laslowski; Yvonne Daniels; Phil Branton; John Carpenter; Richard Zarbo; Ramses Forsyth; Yan-Hui Liu; Shane Kohl; Joachim Diebold; Shinobu Masuda; Tim Plummer; Eslie Dennis
Journal:  Lab Med       Date:  2017-05-01

7.  Patient and Sample Identification. Out of the Maze?

Authors:  Giuseppe Lippi; Laura Chiozza; Camilla Mattiuzzi; Mario Plebani
Journal:  J Med Biochem       Date:  2017-04-22       Impact factor: 3.402

8.  High quality copy number and genotype data from FFPE samples using Molecular Inversion Probe (MIP) microarrays.

Authors:  Yuker Wang; Victoria E H Carlton; George Karlin-Neumann; Ronald Sapolsky; Li Zhang; Martin Moorhead; Zhigang C Wang; Andrea L Richardson; Robert Warren; Axel Walther; Melissa Bondy; Aysegul Sahin; Ralf Krahe; Musaffe Tuna; Patricia A Thompson; Paul T Spellman; Joe W Gray; Gordon B Mills; Malek Faham
Journal:  BMC Med Genomics       Date:  2009-02-19       Impact factor: 3.063

9.  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

  9 in total

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