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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedMayampurath A, Parnianpour Z, Richards CT
Improving prehospital stroke diagnosis using natural language processing of paramedic reports.
Accurate prehospital diagnosis of stroke by emergency medical services (EMS) can increase treatments rates, mitigate disability, and reduce stroke deaths. IN this study, the investigators aimed to develop a model that utilized natural language processing of EMS reports and machine learning to improve prehospital stroke identification. The investigators conducted a retrospective study of patients transported by the Chicago EMS to 17 regional primary and comprehensive stroke centers.
AHRQ-funded; HS025359; HS027264.
Citation: Mayampurath A, Parnianpour Z, Richards CT .
Improving prehospital stroke diagnosis using natural language processing of paramedic reports.
Stroke 2021 Aug;52(8):2676-79. doi: 10.1161/strokeaha.120.033580..
Keywords: Stroke, Cardiovascular Conditions, Diagnostic Safety and Quality, Health Information Technology (HIT), Emergency Medical Services (EMS)