Evidence map›Paper›PMID 32788145›Full record

ArticleJournal of medical Internet research2020

Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings.

Shadi Saleh, Nour El Arnaout, Lina Abdouni, Zeinab Jammoul, Noha Hachach, Amlan Dasgupta

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Electronic Personal Health Records for Mobile Populations: A Rapid Systematic Literature Review.International journal of environmental research and public health · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Shadi SalehGlobal Health Institute, American University of Beirut, Beirut, Lebanon.ORCID 0000-0001-8689-4030
Nour El ArnaoutGlobal Health Institute, American University of Beirut, Beirut, Lebanon.ORCID 0000-0002-3638-5905
Lina AbdouniGlobal Health Institute, American University of Beirut, Beirut, Lebanon.ORCID 0000-0002-9077-1292
Zeinab JammoulGlobal Health Institute, American University of Beirut, Beirut, Lebanon.ORCID 0000-0002-5625-6852
Noha HachachGlobal Health Institute, American University of Beirut, Beirut, Lebanon.ORCID 0000-0003-4496-9035
Amlan DasguptaEpic Systems Corporation, Verona, WI, United States.
American University of Beirut · LBAmerican University of Beirut Medical Center · LBEpic Systems (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Arab WorldCloud ComputingElectronic Health RecordsHealth ServicesHumansRefugeesdigital healtheHealthinnovationlow- and middle-income countriesrefugeestechnology

Identifiers

PMID32788145
PMCPMC7453321
OpenAlexW3033202091

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.