The Architecture of Clinical Judgment: Navigating Cognitive Biases to Enhance Diagnostic Accuracy

Diagnostic error remains a persistent and critical challenge in modern healthcare, with studies indicating that cognitive factors contribute to the vast majority of clinical misdiagnoses. Moving beyond traditional assumptions that errors stem solely from knowledge deficits, this literature review explores the intricate intersection of cognitive psychology and clinical practice. By examining the Dual-Process Theory the interplay between intuitive System 1 pattern recognition and analytical System 2 reasoningthi s paper unpacks how pervasive cognitive biases (such as premature closure, anchoring, and confirmation bias) derail clinical judgment. Furthermore, the review synthesizes evidence-based mitigation strategies, emphasizing the integration of metacognitive reflection, Bayesian probabilistic reasoning, and clinical decision support systems. Ultimately, this work advocates for a deliberate shift in medical education and practice, embedding cognitive awareness as a core pillar of patient safety and diagnostic excellence.