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An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study

While the research project started as a geomapping and estimation system, it was realized that tools, algorithms, and agreements needed to be embedded. These additions were important for end users with a low incidence of patients with stroke across a complex medical transport ecosystem. For each hospital location, various stroke-specific processes and protocols, route options, and communication steps to access stroke care had to be understood and coded.

Ayman Hassan, Rachid Benlamri, Trina Diner, Keli Cristofaro, Lucas Dillistone, Hajar Khallouki, Mahvareh Ahghari, Shalyn Littlefield, Rabail Siddiqui, Russell MacDonald, David W Savage

JMIR Form Res 2024;8:e54009