Abstract Details

Title Neurocritical Care EEG Rounds: optimization of a neurology resident electroencephalogram (EEG) education model

Topic ��ɫ��, Research, and Methodology

Presentation(s) P7 - Poster Session 7 (8:00 AM-9:00 AM)

Poster/Presentation
Number 15-008

Objective To optimize and advance an existing neurology resident electroencephalogram (EEG) education model.

Background EEG is an important monitoring tool in the intensive care unit (ICU). To improve neurology resident ICU EEG education, we initiated “neurocritical care EEG rounds” at Baylor College of Medicine and previously showed its efficacy in improving neurology residents’ comfort level and knowledge about ICU EEG. One year after its implementation, we now present additional data about the progress and optimization of this model.

Design/Methods At the end of last academic year, an anonymous survey was sent to residents and faculty to gather feedback. We continued to hold a daily 30-minute virtual conference involving neurocritical care (NCC) team and EEG readers to review ongoing EEG studies of patients under NCC care. Residents' knowledge and comfort level towards EEG interpretation before and after 4-week NCC rotation were assessed using a self-designed questionnaire. For senior residents, the questionnaire was modified to include several advanced ICU EEG concepts.

Results Survey results showed that most participants (N=13) either agreed or strongly agreed that the model was useful in both learning and patient care. Pilot data from current academic year (July to September 2025) included 9 junior residents, 7 (77.8%) reported increase in overall comfort level of EEG interpretation. Improvement in correct answer percentage on post-test was seen for diffuse suppression (77.8% vs. 33.3%; p=0.046), burst suppression (55.6% vs. 22.2%; p=0.083) and lateralized periodic discharges (77.8% vs 33.8%; p=0.102). Results for senior residents are being collected and analyzed.

Conclusions Neurocritical care EEG rounds was considered by residents and faculty to be useful in both education and patient care. Pilot data for current year’s junior residents continued to show improvement in subjective comfort level and EEG pattern recognition after participation. Tailored education based on training and baseline knowledge level is underway.

Authors/Disclosures
Mitchell Powell, MD PRESENTER	Dr. Powell has nothing to disclose.
Marco M. Malaga Julca, MD (Baylor College of Medicine)	Dr. Malaga Julca has nothing to disclose.
Jordan Long, DO	Dr. Long has nothing to disclose.
Ellen Sanchez Mas, MD (Monarch Medical Center Apartments)	Dr. Sanchez Mas has nothing to disclose.
Corey Goldsmith, MD, FAAN (Baylor College of Medicine - Department of Neurology)	Dr. Goldsmith has received publishing royalties from a publication relating to health care.
Rahul Damani	Rahul Damani has nothing to disclose.
Lu Lin, MD, PhD (Baylor College of Medicine)	Dr. Lin has nothing to disclose.

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