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Related Experiment Video

Updated: Jun 18, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Inclusion of Hospital Performance in Prehospital Stroke Routing: A Simulation Study.

Kori S Zachrison1,2, Lee H Schwamm3, Yizhou Cui1

  • 1Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA.

Prehospital Emergency Care
|June 16, 2026
PubMed
Summary

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This summary is machine-generated.

Prehospital stroke routing can be improved by using actual hospital performance data. This enhanced model directs patients to hospitals with faster reperfusion times, improving stroke care.

Area of Science:

  • Emergency Medicine
  • Neurology
  • Health Services Research

Background:

  • Prehospital routing for stroke patients is complex.
  • Current guidelines may not reflect real-world hospital performance.
  • Door-to-needle and door-to-puncture times are critical for stroke treatment.

Purpose of the Study:

  • To compare prehospital stroke routing strategies.
  • To evaluate the impact of actual hospital performance data on routing decisions.
  • To determine if enhanced models improve destination selection compared to consensus recommendations.

Main Methods:

  • A decision-analytic model was used, incorporating geographic, patient, and hospital data.
  • The model was enhanced with real-world door-to-needle/puncture times from Northeast US hospitals.
Keywords:
emergency medical serviceshospital performanceprehospital caresimulation modelingstroke

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Last Updated: Jun 18, 2026

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  • 400,000 patient-location scenarios were simulated to compare three routing strategies.
  • Main Results:

    • Routing destinations differed from consensus recommendations in 56.1% (base model) and 63.1% (enhanced model) of scenarios.
    • Patients were more frequently directed to hospitals with faster reperfusion times using the enhanced model.
    • Higher stroke severity and likelihood of large vessel occlusion correlated with alignment to recommendations.

    Conclusions:

    • Prehospital stroke routing models can be significantly improved by incorporating actual hospital performance data.
    • The enhanced model, using real-time data, offers a more optimized approach to stroke patient destination selection.
    • This data-driven approach may lead to more timely and effective stroke interventions.