Provide Feedback |

Register

Study

Adding automation and independent dual verification to reduce wrong blood in tube (WBIT) events.

September 28, 2022

Passwater M, Huggins YM, Delvo Favre ED, et al. Am J Clin Pathol. 2022;158(2):212-215.

View more articles from the same authors.

Wrong blood in tube (WBIT) errors are rare but can lead to complications. One hospital implemented a quality improvement project to reduce WBIT errors with electronic patient identification, manual independent dual verification, and staff education. WBIT errors were significantly reduced and sustained over six years.

PubMed citation

Related Resources From the Same Author(s)

Cancer diagnostic delay in Northern and Central Italy during the 2020 lockdown due to the coronavirus disease 2019 pandemic.

October 21, 2020

Clinical and financial implications of second-opinion surgical pathology review.

April 7, 2021

Incidence, severity and preventability of medication-related visits to the emergency department: a prospective study.

April 22, 2011

Association of diagnostic stewardship for blood cultures in critically ill children with culture rates, antibiotic use, and patient outcomes: results of the Bright STAR Collaborative.

May 18, 2022

Discrepancy between emergency department admission diagnosis and hospital discharge diagnosis and its impact on length of stay, up-triage to the intensive care unit, and mortality.

February 16, 2022

EMS non-conveyance: a safe practice to decrease ED crowding or a threat to patient safety?

October 27, 2021

Prehospital naloxone and emergency department adverse events: a dose-dependent relationship.

November 25, 2020

Antecedent treat-and-release diagnoses prior to sepsis hospitalization among adult emergency department patients: a look-back analysis employing insurance claims data using Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) methodology.

December 8, 2021

Multifactorial interventions to reduce duration and variability in delays to identification of serious injury after falls in hospital inpatients.

April 27, 2022

Patient safety and quality improvement: ethical principles for a regulatory approach to bias in healthcare machine learning.

July 22, 2020

View More

Related Resources

Systematic workup of transfusion reactions reveals passive co-reporting of handling errors.

November 8, 2023

Serious hazards of transfusion: evaluating the dangers of a wrong patient autologous salvaged blood in cardiac surgery.

October 5, 2022

Machine learning models outperform manual result review for the identification of wrong blood in tube errors in complete blood count results.

June 29, 2022

Descriptive analysis of patient misidentification from incident report system data in a large academic hospital federation.

October 20, 2021

Patient misidentification events in the Veterans Health Administration: a comprehensive review in the context of high-reliability health care.

October 21, 2020

Improving transfusion safety in the operating room with a barcode scanning system designed specifically for the surgical environment and existing electronic medical record systems: an interrupted time series analysis.

September 9, 2020

Patient Safety Innovations

Verification Screen That Includes Prominent Patient Photograph Significantly Reduces Errors Caused by Orders Placed in Wrong Chart

June 12, 2020

WebM&M Cases

Misidentifying the Unidentified – John Doe and the EHR

October 30, 2019

Transfusion safety: the nature and outcomes of errors in patient registration.

June 2, 2019

Wrong-patient blood transfusion error: leveraging technology to overcome human error in intraoperative blood component administration.

March 20, 2019

View More

See More About The Topic

Quality and Safety Professionals

Pediatric Hematology

Identification Errors

To sign up for updates or to access your subscriber preferences, please enter your email address below.

5600 Fishers Lane
Rockville, MD 20857
Telephone: (301) 427-1364