ArticleAEM education and training2026
Prioritizing Electrocardiogram Interpretation for Emergency Medicine Residency Training: A Modified Delphi Study.
Article in AEM education and training, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Prioritizing Electrocardiogram Interpretation for Emergency Medicine Residency Training: A Modified Delphi Study.AEM education and training · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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 ( 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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