Literature DB >> 21918013

Voluntary electronic reporting of laboratory errors: an analysis of 37,532 laboratory event reports from 30 health care organizations.

Laura K Snydman1, Beth Harubin, Sanjaya Kumar, Jack Chen, Robert E Lopez, Deeb N Salem.   

Abstract

Laboratory testing is essential for diagnosis, evaluation, and management. The objective was to describe the type of laboratory events reported in hospitals using a voluntary electronic error reporting system (e-ERS) via a cross-sectional analysis of reported laboratory events from 30 health organizations throughout the United States (January 1, 2000, to December 31, 2005). A total of 37,532 laboratory-related events were reported, accounting for 14.1% of all reported quality events. Preanalytic laboratory events were the most common (81.1%); the top 3 were specimen not labeled (18.7%), specimen mislabeled (16.3%), and improper collection (13.2%). A small number (0.08%) of laboratory events caused permanent harm or death; 8% caused temporary harm. Most laboratory events (55%) did not cause harm. Laboratory errors constitute 1 of 7 quality events. Laboratory errors often are caused by events that precede specimen arrival in the lab and should be preventable with a better labeling processes and education. Most laboratory errors do not lead to patient harm.

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Year:  2011        PMID: 21918013     DOI: 10.1177/1062860611413567

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  5 in total

1.  Prevalence and Outcomes of Achromobacter Species Infections in Adults with Cystic Fibrosis: a North American Cohort Study.

Authors:  B D Edwards; J Greysson-Wong; R Somayaji; B Waddell; F J Whelan; D G Storey; H R Rabin; M G Surette; M D Parkins
Journal:  J Clin Microbiol       Date:  2017-04-26       Impact factor: 5.948

2.  Targeting Rejection: Analysis of Specimen Acceptability and Rejection, and Framework for Identifying Interventions in a Single Tertiary Healthcare Facility.

Authors:  Lisa Rooper; Jamal Carter; John Hargrove; Sheri Hoffmann; Stefan Riedel
Journal:  J Clin Lab Anal       Date:  2016-09-15       Impact factor: 2.352

3.  Non-Interruptive Clinical Decision Support to Improve Perioperative Electronic Positive Patient Identification.

Authors:  Bryan D Steitz; Gen Li; Adam Wright; Brent Dunworth; Robert E Freundlich; Jonathan P Wanderer
Journal:  J Med Syst       Date:  2022-01-26       Impact factor: 4.460

Review 4.  Enhancing Patient Safety Event Reporting. A Systematic Review of System Design Features.

Authors:  Yang Gong; Hong Kang; Xinshuo Wu; Lei Hua
Journal:  Appl Clin Inform       Date:  2017-08-30       Impact factor: 2.342

5.  Applying the WHO conceptual framework for the International Classification for Patient Safety to a surgical population.

Authors:  L M McElroy; D M Woods; A F Yanes; A I Skaro; A Daud; T Curtis; E Wymore; J L Holl; M M Abecassis; D P Ladner
Journal:  Int J Qual Health Care       Date:  2016-01-23       Impact factor: 2.038

  5 in total

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