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Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings
The world is witnessing an alarming rate of displacement and migration, with more than 70.8 million forcibly displaced individuals, including 26 million refugees. These populations are known to have increased vulnerability and susceptibility to mental and physical health problems due to the migratio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453321/ https://www.ncbi.nlm.nih.gov/pubmed/32788145 http://dx.doi.org/10.2196/18183 |
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author | Saleh, Shadi El Arnaout, Nour Abdouni, Lina Jammoul, Zeinab Hachach, Noha Dasgupta, Amlan |
author_facet | Saleh, Shadi El Arnaout, Nour Abdouni, Lina Jammoul, Zeinab Hachach, Noha Dasgupta, Amlan |
author_sort | Saleh, Shadi |
collection | PubMed |
description | The world is witnessing an alarming rate of displacement and migration, with more than 70.8 million forcibly displaced individuals, including 26 million refugees. These populations are known to have increased vulnerability and susceptibility to mental and physical health problems due to the migration journey. Access of these individuals to health services, whether during their trajectory of displacement or in refugee-hosting countries, remains limited and challenging due to multiple factors, including language and cultural barriers and unavailability of the refugees’ health records. Cloud-based electronic health records (EHRs) are considered among the top five health technologies integrated in humanitarian crisis preparedness and response during times of conflict. This viewpoint describes the design and implementation of a scalable and innovative cloud-based EHR named Sijilli, which targets refugees in low-resource settings. This paper discusses this solution compared with other similar practices, shedding light on its potential for scalability. |
format | Online Article Text |
id | pubmed-7453321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-74533212020-08-31 Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings Saleh, Shadi El Arnaout, Nour Abdouni, Lina Jammoul, Zeinab Hachach, Noha Dasgupta, Amlan J Med Internet Res Viewpoint The world is witnessing an alarming rate of displacement and migration, with more than 70.8 million forcibly displaced individuals, including 26 million refugees. These populations are known to have increased vulnerability and susceptibility to mental and physical health problems due to the migration journey. Access of these individuals to health services, whether during their trajectory of displacement or in refugee-hosting countries, remains limited and challenging due to multiple factors, including language and cultural barriers and unavailability of the refugees’ health records. Cloud-based electronic health records (EHRs) are considered among the top five health technologies integrated in humanitarian crisis preparedness and response during times of conflict. This viewpoint describes the design and implementation of a scalable and innovative cloud-based EHR named Sijilli, which targets refugees in low-resource settings. This paper discusses this solution compared with other similar practices, shedding light on its potential for scalability. JMIR Publications 2020-08-13 /pmc/articles/PMC7453321/ /pubmed/32788145 http://dx.doi.org/10.2196/18183 Text en ©Shadi Saleh, Nour El Arnaout, Lina Abdouni, Zeinab Jammoul, Noha Hachach, Amlan Dasgupta. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.08.2020. 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 Saleh, Shadi El Arnaout, Nour Abdouni, Lina Jammoul, Zeinab Hachach, Noha Dasgupta, Amlan Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings |
title | Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings |
title_full | Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings |
title_fullStr | Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings |
title_full_unstemmed | Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings |
title_short | Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings |
title_sort | sijilli: a scalable model of cloud-based electronic health records for migrating populations in low-resource settings |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453321/ https://www.ncbi.nlm.nih.gov/pubmed/32788145 http://dx.doi.org/10.2196/18183 |
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