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A Physician-Driven Patient Safety Paradigm: The “Pitfall Bank” as a Translational Mechanism for Medical Error Prevention

G. Herold,V. Justickis,V. Maneikienė,K. Maneikis,Paulius Trinkauskas,Karina Palkova

Published 2025 in Healthcare

ABSTRACT

Background: Despite more than 25 years of intensive effort following the landmark “To Err Is Human” report, conventional top-down medical error prevention strategies, grounded in the Safety-I paradigm, have largely failed to reduce patient harm. This persistent shortcoming underscores the need for a new prevention model. The medical literature contains an extensive yet systematically underutilized body of physician-generated experiential knowledge on “clinical pitfalls”—specific high-risk scenarios in which errors are likely to occur. This resource presents an opportunity for a novel, physician-driven approach to medical error prevention. The present paper proposes and evaluates such a model, grounded in the principles of Safety-II and translational medicine. Methods: The methodology involved a three-part conceptual analysis: (1) a critical review of the literature assessing the effectiveness of established error prevention strategies, (2) a quantitative bibliometric analysis of the PubMed database to determine the volume and temporal trends of publications on “clinical pitfalls”, and (3) a conceptual synthesis to design a novel physician-driven error prevention model. Each method is described in detail at the beginning of its respective section. Results: The literature review confirms the limited effectiveness of existing top-down safety initiatives, particularly in complex domains such as diagnosis and treatment. The bibliometric analysis identified more than 43,000 publications containing the keyword “pitfall,” with a sustained and significant upward trend in annual publications over the past three decades. The conceptual synthesis demonstrates that a physician-driven system—centered on a “Pitfall Bank”—addresses core weaknesses of current strategies, including unreliable data, heterogeneous knowledge, and cognitive biases. Structured as a circular translational mechanism, the proposed system facilitates a continuous cycle of practice-based problem identification and science-informed solution implementation. Conclusions: A physician-driven prevention system, architected as a translational engine, offers a promising and sustainable strategy to overcome the current impasse in medical error reduction and create a more resilient and adaptive healthcare system.

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