PRE‑ANALYTICAL ERRORS IN CLINICAL LABORATORY PRACTICE CAUSES, IMPACT, AND STRATEGIES FOR PREVENTION

Abstract

Background: The clinical laboratory plays an indispensable role in modern healthcare, with its results influencing the majority of critical medical decisions. However, the reliability of these results is profoundly threatened by errors occurring in the pre-analytical phase, which encompasses all steps from test ordering to sample analysis.

Objective: This comprehensive review aims to examine the landscape of pre-analytical errors in clinical laboratory practice, exploring their frequency, root causes, clinical and economic impact, and the evidence-based strategies available for their prevention. 

Methods: A narrative review of the literature was conducted, synthesizing findings from seminal studies and recent advances in the field of laboratory quality management. 

Results: The evidence confirms that the pre-analytical phase is the most error-prone stage of the total testing process, accounting for 46-70% of all laboratory mistakes. These errors arise from a complex interplay of human cognitive factors, including interruptions, fatigue, and attention lapses, and systemic vulnerabilities such as poor workflow design, inadequate training, and unsupportive organizational culture. The clinical consequences are severe, ranging from misdiagnosis and delayed treatment to unnecessary patient harm from inappropriate interventions. Economically, pre-analytical errors generate substantial waste through specimen rejection, repeat testing, prolonged hospital stays, and cascading unnecessary procedures. In response, a multi-faceted approach to prevention has emerged, built upon international standardization (e.g., CLSI guidelines), technological innovation (e.g., positive patient identification systems, automation, artificial intelligence), comprehensive education and competency programs, and continuous monitoring through quality indicators. 

Conclusion: While significant progress has been made in understanding and mitigating pre-analytical errors, they remain a major challenge to patient safety. The future direction points toward the integration of emerging technologies, such as AI and IoT-enabled smart tracking, and the deepening of interdisciplinary collaboration to move closer to the aspirational goal of a zero-error pre-analytical phase. Ensuring the integrity of this phase is fundamental to fulfilling the laboratory's contract with the patient: to provide a result that can be trusted.