Structured Cognition Under Pressure: Diagnostic Accuracy and Safety in High-Acuity Emergency Medicine
Abstract
Clinical decision-making under extreme time pressure represents one of the most demanding cognitive challenges in emergency medicine. This review analyzes how temporal compression, cognitive load, workflow interruptions, and stress exposure interact to influence diagnostic accuracy and patient safety. Drawing on foundational literature in diagnostic reasoning, cognitive psychology, and patient safety research, the study synthesizes evidence demonstrating that increasing interruption frequency and cognitive burden are associated with measurable rises in task error and progressive declines in diagnostic reliability. Temporal constraints appear to accelerate reliance on intuitive processing, increasing susceptibility to premature closure, particularly in ambiguous or evolving clinical presentations. Additionally, elevated stress levels are associated not only with reduced mean diagnostic accuracy but also with greater variability in performance. The findings suggest that diagnostic vulnerability in emergency settings is not random but emerges predictably from the interaction between cognitive architecture and system design. Structured mitigation strategies—including micro-reflective checkpoints, diagnostic prompts, workflow protection from unnecessary interruptions, and simulation-based reasoning training—are associated with reductions in error patterns without compromising response time. The implications are particularly relevant for emergency departments operating under structural constraints, including middle-income health systems in Latin America. Strengthening diagnostic safety requires an integrated approach that aligns clinical expertise, environmental design, and institutional safety culture.
Fields of Study & Subjects
Clinical Reasoning and Diagnostic Skills
Patient Safety and Medication Errors
Emergency and Acute Care Studies
Publication details
- Journal / source
- IECCMEXICO
- Volume
- 4
- Issue
- 3
- Publication date
- 23 February 2026
- Language
- EN