Causes, consequences, detection, and prevention of identification errors in laboratory diagnostics
Причины, последствия, выявление и предотвращение ошибок идентификации в лабораторной диагностике
2008-12-22
SCID: 54.1/t689k4ts
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automated patient identification systemsdelta check technologypatient misidentificationpreanalytical process errorsspecimen labeling and identification
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Abstract (AI)
Laboratory diagnostics, a pivotal part of clinical decision making, is no safer than other areas of healthcare, with most errors occurring in the manually intensive preanalytical process. Patient misidentification errors are potentially associated with the worst clinical outcome due to the potential for misdiagnosis and inappropriate therapy. While it is misleadingly assumed that identification errors occur at a low frequency in clinical laboratories, misidentification of general laboratory specimens is around 1% and can produce serious harm to patients, when not promptly detected. This article focuses on this challenging issue, providing an overview on the prevalence and leading causes of identification errors, analyzing the potential adverse consequences, and providing tentative guidelines for detection and prevention based on direct-positive identification, the use of information technology for data entry, automated systems for patient identification and specimen labeling, two or more identifiers during sample collection and delta check technology to identify significant variance of results from historical values. Once misidentification is detected, rejection and recollection is the most suitable approach to manage the specimen.
Key Findings
1
Delta check technology is useful to detect significant variances from historical values and help identify misidentified specimens.
2
Detection and prevention strategies recommended include direct-positive identification, IT-assisted data entry, automated patient identification and specimen labeling, and using two or more identifiers during collection.
3
Leading causes include manual processes and insufficient identification procedures, implying human error is a primary driver of misidentification.
4
Misidentification of general laboratory specimens occurs at about 1% and can cause serious patient harm if not promptly detected.
5
Patient misidentification in laboratory diagnostics is commonest in the manually intensive preanalytical process and poses high risk for misdiagnosis and inappropriate therapy.
6
When misidentification is detected, the preferred management is specimen rejection and recollection.
Research Object
Patient and specimen identification errors in clinical laboratory diagnostics
Research Subject
Causes, prevalence, adverse clinical consequences, detection methods, and prevention strategies for identification errors in the preanalytical laboratory process
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2008-12-22
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