Classifying laboratory incident reports to identify problems that jeopardize patient safety.

Area of Science:

• Medical Diagnostics
• Laboratory Medicine
• Patient Safety

Background:

• Adverse events in clinical laboratories can impact patient care.
• Effective classification systems are needed to identify and mitigate risks.
• Retrospective analysis of incident reports is crucial for quality improvement.

Purpose of the Study:

• To develop and apply a classification system for laboratory incident reports.
• To analyze the types, impacts, and causes of laboratory incidents.
• To identify opportunities for reducing actual and potential adverse events in the laboratory setting.

Main Methods:

• A retrospective study of 129 laboratory incident reports over 16 months.
• Classification based on event type, patient impact, laboratory involvement, testing phase, and preventability.
• Analysis of cognitive and noncognitive error types in preventable incidents.

Main Results:

• 95% of incidents were potential adverse events, with test result delays being the most common impact (85%).
• The laboratory was solely responsible for 60% of incidents, with specimen processing and preanalytic phases (71%) most frequently implicated.
• 73% of incidents were preventable, with noncognitive errors (73%) being more prevalent than cognitive errors (30%).

Conclusions:

• A robust classification system can effectively categorize laboratory incidents.
• Preventable errors, particularly noncognitive lapses in the preanalytic phase, are significant contributors to adverse events.
• Targeted interventions focusing on specimen handling and preanalytic processes can enhance laboratory safety and reduce patient harm.