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CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management
Introduction: 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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684757/ https://www.ncbi.nlm.nih.gov/pubmed/31417478 http://dx.doi.org/10.3389/fneur.2019.00725 |
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author | Seah, Huey Ming Burney, Moe Phan, Michael Shell, Daniel Wu, Jamin Zhou, Kevin Brooks, Owen Coulton, Bronwyn Maingard, Julian Tang, Jennifer Yazdabadi, Gohar Tahayori, Bahman Barras, Christen Kok, Hong Kuan Chandra, Ronil Thijs, Vincent Brooks, Duncan Mark Asadi, Hamed |
author_facet | Seah, Huey Ming Burney, Moe Phan, Michael Shell, Daniel Wu, Jamin Zhou, Kevin Brooks, Owen Coulton, Bronwyn Maingard, Julian Tang, Jennifer Yazdabadi, Gohar Tahayori, Bahman Barras, Christen Kok, Hong Kuan Chandra, Ronil Thijs, Vincent Brooks, Duncan Mark Asadi, Hamed |
author_sort | Seah, Huey Ming |
collection | PubMed |
description | Introduction: 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. Material/Methods: 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. Results: 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. Discussion: 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. |
format | Online Article Text |
id | pubmed-6684757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66847572019-08-15 CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management Seah, Huey Ming Burney, Moe Phan, Michael Shell, Daniel Wu, Jamin Zhou, Kevin Brooks, Owen Coulton, Bronwyn Maingard, Julian Tang, Jennifer Yazdabadi, Gohar Tahayori, Bahman Barras, Christen Kok, Hong Kuan Chandra, Ronil Thijs, Vincent Brooks, Duncan Mark Asadi, Hamed Front Neurol Neurology Introduction: 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. Material/Methods: 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. Results: 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. Discussion: 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. Frontiers Media S.A. 2019-07-31 /pmc/articles/PMC6684757/ /pubmed/31417478 http://dx.doi.org/10.3389/fneur.2019.00725 Text en Copyright © 2019 Seah, Burney, Phan, Shell, Wu, Zhou, Brooks, Coulton, Maingard, Tang, Yazdabadi, Tahayori, Barras, Kok, Chandra, Thijs, Brooks and Asadi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Seah, Huey Ming Burney, Moe Phan, Michael Shell, Daniel Wu, Jamin Zhou, Kevin Brooks, Owen Coulton, Bronwyn Maingard, Julian Tang, Jennifer Yazdabadi, Gohar Tahayori, Bahman Barras, Christen Kok, Hong Kuan Chandra, Ronil Thijs, Vincent Brooks, Duncan Mark Asadi, Hamed CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management |
title | CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management |
title_full | CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management |
title_fullStr | CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management |
title_full_unstemmed | CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management |
title_short | CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management |
title_sort | code stroke alert—concept and development of a novel open-source platform to streamline acute stroke management |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684757/ https://www.ncbi.nlm.nih.gov/pubmed/31417478 http://dx.doi.org/10.3389/fneur.2019.00725 |
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