Evidence map›Paper›PMID 32537483›Full record

ArticleInformatics in medicine unlocked2020

A home hospitalization system based on the Internet of things, Fog computing and cloud computing.

Hafedh Ben Hassen, Nadia Ayari, Belgacem Hamdi

Abstract read
In one paragraph

Article in Informatics in medicine unlocked, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. COVID-19 Mobile Apps: A Systematic Review of the Literature.Journal of medical Internet research · 2020
    Pooled it
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  19. An IoT-Based Healthcare Platform for Patients in ICU Beds During the COVID-19 Outbreak.IEEE access : practical innovations, open solutions · 2021
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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

3 authors.

Hafedh Ben HassenUniversity of Monastir, Electronic & Microelectronics' LAB, Faculty of Sciences of Monastir, Monastir, 5000, Tunisia.
Nadia AyariUniversity of Monastir, Electronic & Microelectronics' LAB, Faculty of Sciences of Monastir, Monastir, 5000, Tunisia.
Belgacem HamdiUniversity of Monastir, Electronic & Microelectronics' LAB, Faculty of Sciences of Monastir, Monastir, 5000, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the world has witnessed a significant increase in the number of elderly who often suffer from chronic diseases, and has witnessed in recent months a major spread of the new coronavirus (COVID-19), which has led to thousands of deaths, especially among the elderly and people who suffer from chronic diseases. Coronavirus has also caused many problems in hospitals, where these are no longer able to accommodate a large number of patients. This virus has also begun to spread between medical and paramedical teams, and this causes a major risk to the health of patients staying in hospitals. To reduce the spread of the virus and maintain the health of patients who need a hospital stay, home hospitalization is one of the best possible solutions. This paper proposes a home hospitalization system based on the Internet of Things (IoT), Fog computing, and Cloud computing, which are among the most important technologies that have contributed to the development of the healthcare sector in a significant way. These systems allow patients to recover and receive treatment in their homes and among their families, where patient health and the hospitalization room environmental state are monitored, to enable doctors to follow the hospitalization process and make recommendations to patients and their supervisors, through monitoring units and mobile applications developed for this purpose. The results of evaluation have shown great acceptance of this system by patients and doctors alike.

Indexed as

Cloud computingCoronavirusFog computingHealth monitoringHome hospitalizationInternet of Things (IoT)

Identifiers

PMID32537483
PMCPMC7282767

What OpenQuestion holds

Textmetadata
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.