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CODE STROKE ALERT-Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management.

Submitted by karopka on Fri, 2019/08/30 - 18:32
TitleCODE STROKE ALERT-Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management.
Publication TypeJournal Article
Year of Publication2019
AuthorsSeah, HMing, Burney, M, Phan, M, Shell, D, Wu, J, Zhou, K, Brooks, O, Coulton, B, Maingard, J, Tang, J, Yazdabadi, G, Tahayori, B, Barras, C, Kok, HKuan, Chandra, R, Thijs, V, Brooks, DMark, Asadi, H
JournalFront Neurol
Date Published2019

Effective, time-critical intervention in acute stroke is crucial to mitigate mortality rate and morbidity, but delivery of reperfusion treatments is often hampered by pre-, in-, or inter-hospital system level delays. Disjointed, repetitive, and inefficient communication is a consistent contributor to avoidable treatment delay. In the era of rapid reperfusion therapy for ischemic stroke, there is a need for a communication system to synchronize the flow of clinical information across the entire stroke journey. A multi-disciplinary development team designed an electronic communications platform, integrated between web browsers and a mobile application, to link all relevant members of the stroke treatment pathway. The platform uses tiered notifications, geotagging, incorporates multiple clinical score calculators, and is compliant with security regulations. The system safely saves relevant information for audit and research. Code Stroke Alert is a platform that can be accessed by emergency medical services (EMS) and hospital staff, coordinating the flow of information during acute stroke care, reducing duplication, and error in clinical information handover. Electronic data logs provide an auditable trail of relevant quality improvement metrics, facilitating quality improvement, and research. Code Stroke Alert will be freely available to health networks globally. The open-source nature of the software offers valuable potential for future development of plug-ins and add-ons, based on individual institutional needs. Prospective, multi-site implementation, and measurement of clinical impact are underway.

Alternate JournalFront Neurol
PubMed ID31417478
PubMed Central IDPMC6684757
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