Evidence map›Paper›PMID 42079396›Full record

ArticleAEM education and training2026

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

Jennifer Yee, Geremiha Emerson, Richard V Thompson, Kelsey H Jordan, Sorabh Khandelwal

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jennifer YeeDepartment of Emergency Medicine The Ohio State University College of Medicine Columbus Ohio USA.
Geremiha EmersonDepartment of Emergency Medicine The Ohio State University College of Medicine Columbus Ohio USA.
Richard V ThompsonOffice of Curriculum and Scholarship The Ohio State University College of Medicine Columbus Ohio USA.
Kelsey H JordanDepartment of Emergency Medicine The Ohio State University College of Medicine Columbus Ohio USA.
Sorabh KhandelwalDepartment of Emergency Medicine The Ohio State University College of Medicine Columbus Ohio USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

cardiologyclinical competencyclinical skillselectrocardiogramsemergency medicinemedical education graduatestandards

Identifiers

PMID42079396
PMCPMC13128520

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.