Confidence in a Crisis: Results After Implementation of a Stroke Alert Simulation for First-Year Neurology Residents (S28.002)

Prepare first-year neurology residents to lead stroke alerts (SA) through high-fidelity simulation using crisis-resource management (CRM) principles, a framework developed to help organize safe and effective care during emergencies.

Authors

Institutions

Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000210986
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Confidence in a Crisis: Results After Implementation of a Stroke Alert Simulation for First-Year Neurology Residents (S28.002)

Nina Massad, Ilya Shekhter, Erika Marulanda, Jason H. Margolesky et al.
Neurology
Stroke Rehabilitation and Recovery
article

Confidence in a Crisis: Results After Implementation of a Stroke Alert Simulation for First-Year Neurology Residents (S28.002)

Nina Massad, Ilya Shekhter, Erika Marulanda, Jason H. Margolesky, Natalia Crenesse‐Cozien, Mai Kau Yang
article en

Abstract

Prepare first-year neurology residents to lead stroke alerts (SA) through high-fidelity simulation using crisis-resource management (CRM) principles, a framework developed to help organize safe and effective care during emergencies.

NeurologyVol. 104(7_Supplement_1)
University of Miami (US), Jackson Health System (US), National Patient Safety Foundation (US)
Openalex Percentile: Top 91%
Stroke Rehabilitation and Recovery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.