Patient misidentification in laboratory medicine: a qualitative analysis of 227 root cause analysis reports in the

Edward J Dunn1, Paul J Moga

  • 1Lexington VA Medical Center, 1101 Veterans Dr, Lexington, KY 40502, USA. edward.dunn@va.gov

Abstract

Insights

Patient misidentification in laboratory and transfusion services causes significant harm. Focusing on common causal factors across all test cycle phases is key to preventing these errors.

Area of Science:

  • Medical error analysis
  • Laboratory medicine
  • Patient safety

Background:

  • Mislabeled laboratory specimens are a frequent cause of patient harm, leading to repeat procedures and unnecessary surgeries.
  • An estimated 0.1% of all laboratory and anatomic pathology specimens are mislabeled, posing a significant risk.

Purpose of the Study:

  • To identify system vulnerabilities in specimen collection, processing, analysis, and reporting related to patient misidentification.
  • The study focused on clinical laboratory, anatomic pathology, and blood transfusion services.

Main Methods:

  • Qualitative analysis of 227 root cause analysis reports from the Veterans Health Administration.
  • Content analysis using Natural Language Processing (NLP) of case reports from 2000 to 2008.
  • Data categorized by the three stages of the laboratory test cycle: preanalytic, analytic, and postanalytic.

Main Results:

  • Patient misidentification accounted for 182 of 253 adverse events across all test cycle phases.
  • Preanalytic errors included incorrect wristband application and wrong patient electronic record selection.
  • Analytic phase errors involved mislabeled specimens and slides, while postanalytic issues included incorrect result reporting and incompatible transfusions due to verification failures.

Conclusions:

  • Patient misidentification in laboratory and transfusion services stems from a limited set of recurring causal factors.
  • Targeting these specific factors is essential for developing effective systemic mitigation and prevention strategies.

Related Concept Videos

Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
Pharmacovigilance01:19

Pharmacovigilance

Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...