Assessing clinical reasoning in anesthesiology: rationale, multimodal methods, global implementation, and future directions

Safe perioperative care hinges on robust clinical reasoning, yet assessing this competency remains a persistent obstacle. Anesthesiologists constantly navigate time-sensitive decisions, physiological ambiguity, technical interventions, and interprofessional coordination—elements that conventional tests often fail to capture. With the global shift toward competency-based medical education, there is increasing demand for assessment approaches that are both rigorous and adaptable to local realities. Drawing on programmatic assessment and competency-based education frameworks, we reviewed the literature on clinical reasoning evaluation in anesthesiology. We examined tools addressing different facets of reasoning—cognitive, metacognitive, behavioral, and technical—including Simulation-Based Training (SBT), Case-Based Discussions (CBD), Key Features (KF) examinations, Script Concordance Testing (SCT), Clinical Reasoning Problems (CRP), and Comprehensive Integrative Puzzles (CIP). We also assessed validity, feasibility, and practicality across diverse resource settings. Each tool captures a distinct dimension of reasoning. SBT offers an authentic setting for observing crisis management and non-technical skills, though its resource demands limit widespread adoption. CBD enables deep exploration of diagnostic logic and metacognitive awareness, but its effectiveness depends on skilled facilitators. KF tests yield reliable, efficient assessments of critical decisions, while SCT illuminates how trainees handle clinical uncertainty. In well-resourced settings, comprehensive portfolios are becoming standard. Conversely, programs with fewer resources often rely on creative adaptations: phased roll-outs, structured oral exams, low-fidelity simulation, and mobile platforms. A significant evidence gap persists—the link between assessment performance and patient outcomes remains underexplored. We offer a practical framework for building multimodal portfolios while emphasizing the need for outcomes-based research, workplace-based assessment, and equitable access to emerging educational technologies.