ReviewAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2025
The Flush Model: A Novel Framework to Manage Surgeons' Mental Fatigue and Cognitive Load.
Review in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Decision Fatigue in the Attending Surgeon: The Neural Accumulation of Micro-decisions Across an Operating Day.Cureus · 2026Review
- Reduced workload demand with handheld robotic-assisted revision knee arthroplasty: A multi-centre NASA Task Load Index analysis.Journal of experimental orthopaedics · 2026Article
- Injury prevention in fatigue-prone nursing environments: a comprehensive review of strategies centered on work design, human factors engineering, and safety culture.Frontiers in public health · 2026Review
- Surgeons' pursuit of professional achievement and work-life balance in a demanding working environment: An exploratory qualitative study in Japan.SAGE open medicine · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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