Prioritizing Electrocardiogram Interpretation for Emergency Medicine Residency Training: A Modified Delphi Study

优先考虑心电图判读在急诊医学住院医师培训中的作用:一项改良的德尔菲研究

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Abstract

BACKGROUND: Rapid, accurate interpretation of electrocardiogram (ECG) patterns is a key skill for emergency medicine (EM) physicians, but there is no published consensus on which ECG patterns should be prioritized. Within Competency‐Based Medical Education (CBME) frameworks, diagnostic skills such as ECG interpretation require articulated performance expectations and assessment targets. Our study objective was to identify the most important ECG patterns for CBME alignment based on the dual constructions of “importance to identify” and “clinical significance”. METHODS: A three‐round electronic modified Delphi survey was constructed for a convenience sample of geographically‐diverse EM fellows and faculty across the United States (N = 14). Panelists were also asked to rate patterns based on importance to identify and perceived clinical significance using Likert scales. RESULTS: Fourteen EM attending physicians completed the modified Delphi. Most panelists had 6–10 years of clinical experience (43%), practiced within the East North Central region (45%), and were affiliated with university‐based programs (91%). A list of 78 ECG patterns was generated. The most important to identify and clinically significant ECG patterns included rhythms covered by Advanced Cardiac Life Support teaching and patterns indicative of acute coronary syndrome. Several patterns (e.g., atrial fibrillation) were rated as “most important to identify” but lower in clinical significance, suggesting some patterns are foundational for diagnostic reasoning but may not independently mandate immediate intervention without appropriate clinical context. Conversely, cardiac glycoside toxicity demonstrated high clinical significance despite lower importance‐to‐identify ratings, highlighting conditions in which management urgency is high but diagnosis relies more on clinical context than ECG pattern recognition alone. CONCLUSIONS: Through a modified Delphi study, we generated a list of ECG patterns based on importance to identify and perceived clinical significance. Educators may use this list to guide ECG curriculum development, create assessment strategies, and align with educational targets.

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