E-Learning for Pediatric Emergency Department Staff in Point-of-Care Electroencephalogram Interpretation: Prospective

Leopold Simma1,2, Maurice Henri Schneeberger3, Stefanie von Felten4

  • 1Emergency Department, University Children's Hospital Zurich, Lenggstrasse 30, Zurich, 8008, Switzerland, 41 44 249 49 49.

JMIR Medical Education
|August 20, 2025
PubMed

Insights

An electronic EEG learning module significantly improved pediatric emergency medicine providers' ability to interpret EEGs. While initial interpretation skills increased, sustained retention requires further training.

Area of Science:

  • Pediatric Emergency Medicine
  • Neuroscience
  • Medical Education Technology

Background:

  • Status epilepticus (SE) is a critical pediatric emergency requiring prompt EEG monitoring.
  • Accurate EEG interpretation is vital for diagnosing nonconvulsive SE and monitoring convulsive SE.
  • Point-of-care EEG integration may enhance emergency care for children.

Purpose of the Study:

  • To evaluate an electronic EEG self-learning module's effectiveness.
  • To improve interpretation of normal activity, artifacts, and seizures in point-of-care EEG.
  • To assess the impact on pediatric emergency medicine (PEM) providers.

Main Methods:

  • Prospective cohort study in a tertiary pediatric emergency department.
  • Novel EEG e-learning module training for PEM providers (senior/junior medical staff, nurses).
  • Pretest, posttest, and 3-month retention assessments of EEG interpretation skills.

Main Results:

  • Significant increase in EEG total scores from pretest (median 7) to posttest (median 10) among study finishers.
  • Improved odds of higher EEG total scores post-intervention (OR 24.18, P<.001).
  • Elevated scores at retention test (median 8), indicating some skill persistence.

Conclusions:

  • E-learning EEG module effectively enhanced PEM providers' EEG interpretation abilities.
  • Basic EEG skills can be imparted to non-experts via targeted educational interventions.
  • Sustained skill retention necessitates ongoing refresher training for optimal performance.
Abstract

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