The Flush Model: A Novel Framework to Manage Surgeons' Mental Fatigue and Cognitive Load.

Pierrick Laulan, Matthieu L G Fernandez, Emeric Abet, Jérôme Dimet, Ulrike Rimmele
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Abstract

Background: Mental fatigue significantly impairs surgeons' cognitive performance, compromising patient safety. However, surgical practice lacks an integrated framework to understand and mitigate this cognitive strain effectively.

Conceptual model: We propose adapting the Flush model, initially developed for endurance sports, to surgical settings. This model conceptualizes mental fatigue through a dynamic analogy of a water tank composed of 4 main components: perceived fatigue (ballcock), fatigue accumulation (filling rate), fatigue recovery (drain rate), and a safety margin (security reserve). We detail how intrinsic cognitive load, extraneous stressors, physiological and psychological factors, and circadian influences collectively drive mental fatigue accumulation.

Clinical implications: The Flush model clarifies how mental fatigue fluctuates during surgical procedures and highlights practical recovery methods such as brief mindfulness interventions, microbreaks, cognitive offloading, and ergonomics adjustments. It emphasizes maintaining a cognitive safety reserve to safeguard against errors during critical surgical phases, providing surgeons with actionable strategies to manage fatigue in real time.

Future directions: We recommend empirical validation through real-time monitoring using physiological measures (eg, heart-rate variability, pupillometry) coupled with subjective assessments (eg, NASA Task Load Index, Surgery Task Load Index). Integrating Flush principles into surgical training, simulation programs, and institutional policies could foster a culture prioritizing cognitive performance and patient safety.

Conclusions: The Flush model provides a comprehensive, intuitive framework for understanding and addressing surgeons' mental fatigue. Its implementation promises to enhance cognitive resilience, reduce surgical errors, and improve both patient outcomes and surgeon well-being.

Abstract Image

冲洗模型:一种管理外科医生精神疲劳和认知负荷的新框架。
背景:精神疲劳严重损害外科医生的认知能力,危及患者安全。然而,外科实践缺乏一个完整的框架来有效地理解和减轻这种认知压力。概念模型:我们建议将最初为耐力运动开发的Flush模型应用于外科手术。该模型通过动态类比一个由感知疲劳(球阀)、疲劳积累(填充率)、疲劳恢复(排泄率)和安全边际(安全储备)4个主要部分组成的水箱来概念化心理疲劳。我们详细介绍了内在认知负荷、外部压力源、生理和心理因素以及昼夜节律影响如何共同驱动精神疲劳积累。临床意义:Flush模型阐明了在手术过程中精神疲劳是如何波动的,并强调了实用的恢复方法,如短暂的正念干预、微休息、认知卸载和人体工程学调整。它强调保持认知安全储备,以防止在关键手术阶段出现错误,为外科医生提供可操作的策略来实时管理疲劳。未来方向:我们建议通过使用生理测量(如心率变异性、瞳孔测量)和主观评估(如NASA任务负荷指数、手术任务负荷指数)进行实时监测来进行实证验证。将同花顺原则整合到外科训练、模拟程序和机构政策中,可以培养一种优先考虑认知表现和患者安全的文化。结论:Flush模型为理解和解决外科医生的精神疲劳问题提供了一个全面、直观的框架。它的实施有望增强认知弹性,减少手术错误,并改善患者的治疗结果和外科医生的福祉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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