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The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks
Due to the increasing number of natural and man-made disasters, mass casualty incidents occur more often than ever before. As a result, health care providers need to adapt in order to cope with the overwhelming patient surge. To ensure quality and safety in health care, accurate information in pande...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816259/ https://www.ncbi.nlm.nih.gov/pubmed/29396388 http://dx.doi.org/10.2196/jmir.8249 |
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author | Pan, Chih-Long Lin, Chih-Hao Lin, Yan-Ren Wen, Hsin-Yu Wen, Jet-Chau |
author_facet | Pan, Chih-Long Lin, Chih-Hao Lin, Yan-Ren Wen, Hsin-Yu Wen, Jet-Chau |
author_sort | Pan, Chih-Long |
collection | PubMed |
description | Due to the increasing number of natural and man-made disasters, mass casualty incidents occur more often than ever before. As a result, health care providers need to adapt in order to cope with the overwhelming patient surge. To ensure quality and safety in health care, accurate information in pandemic disease control, death reduction, and health quality promotion should be highlighted. However, obtaining precise information in real time is an enormous challenge to all researchers of the field. In this paper, innovative strategies are presented to develop a sound information network using the concept of “witness sensors.” To overcome the reliability and quality limitations of information obtained through social media, researchers must focus on developing solutions that secure the authenticity of social media messages, especially for matters related to health. To address this challenge, we introduce a novel concept based on the two elements of “witness” and “sensor.” Witness sensors can be key players designated to minimize limitations to quality of information and to distinguish fact from fiction during critical events. In order to enhance health communication practices and deliver valid information to end users, the education and management of witness sensors should be further investigated, especially for implementation during mass casualty incidents and epidemic outbreaks. |
format | Online Article Text |
id | pubmed-5816259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-58162592018-02-23 The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks Pan, Chih-Long Lin, Chih-Hao Lin, Yan-Ren Wen, Hsin-Yu Wen, Jet-Chau J Med Internet Res Viewpoint Due to the increasing number of natural and man-made disasters, mass casualty incidents occur more often than ever before. As a result, health care providers need to adapt in order to cope with the overwhelming patient surge. To ensure quality and safety in health care, accurate information in pandemic disease control, death reduction, and health quality promotion should be highlighted. However, obtaining precise information in real time is an enormous challenge to all researchers of the field. In this paper, innovative strategies are presented to develop a sound information network using the concept of “witness sensors.” To overcome the reliability and quality limitations of information obtained through social media, researchers must focus on developing solutions that secure the authenticity of social media messages, especially for matters related to health. To address this challenge, we introduce a novel concept based on the two elements of “witness” and “sensor.” Witness sensors can be key players designated to minimize limitations to quality of information and to distinguish fact from fiction during critical events. In order to enhance health communication practices and deliver valid information to end users, the education and management of witness sensors should be further investigated, especially for implementation during mass casualty incidents and epidemic outbreaks. JMIR Publications 2018-02-02 /pmc/articles/PMC5816259/ /pubmed/29396388 http://dx.doi.org/10.2196/jmir.8249 Text en ©Chih-Long Pan, Chih-Hao Lin, Yan-Ren Lin, Hsin-Yu Wen, Jet-Chau Wen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 02.02.2018. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Viewpoint Pan, Chih-Long Lin, Chih-Hao Lin, Yan-Ren Wen, Hsin-Yu Wen, Jet-Chau The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks |
title | The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks |
title_full | The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks |
title_fullStr | The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks |
title_full_unstemmed | The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks |
title_short | The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks |
title_sort | significance of witness sensors for mass casualty incidents and epidemic outbreaks |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816259/ https://www.ncbi.nlm.nih.gov/pubmed/29396388 http://dx.doi.org/10.2196/jmir.8249 |
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