Evidence map›Paper›PMID 34603926›Full record

ReviewHealth and technology2021

The potential and challenges of Health 4.0 to face COVID-19 pandemic: a rapid review.

Cecilia-Irene Loeza-Mejía, Eddy Sánchez-DelaCruz, Pilar Pozos-Parra, Luis-Alfonso Landero-Hernández

Abstract readReview
In one paragraph

Review in Health and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Digital health-high tech or high touch?Wiener medizinische Wochenschrift (1946) · 2023
    Article
  3. Lessons Learned from Natural Disasters around Digital Health Technologies and Delivering Quality Healthcare.International journal of environmental research and public health · 2023
    Review
  4. Article
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

4 authors.

Cecilia-Irene Loeza-MejíaNational Technological, Misantla Campus, Veracruz, Mexico.ORCID 0000-0002-4584-0076
Eddy Sánchez-DelaCruzNational Technological, Misantla Campus, Veracruz, Mexico.ORCID 0000-0002-2357-7799
Pilar Pozos-ParraUniversidad Autónoma de Baja California, California, Mexico.ORCID 0000-0002-7617-7457
Luis-Alfonso Landero-HernándezNational Technological, Misantla Campus, Veracruz, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has generated the need to evolve health services to reduce the risk of contagion and promote a collaborative environment even remotely. Advances in Industry 4.0, including the internet of things, mobile networks, cloud computing, and artificial intelligence make Health 4.0 possible to connect patients with healthcare professionals. Hence, the focus of this work is analyzing the potentiality, and challenges of state-of-the-art Health 4.0 applications to face the COVID-19 pandemic including augmented environments, diagnosis of the virus, forecasts, medical robotics, and remote clinical services. It is concluded that Health 4.0 can be applied in the prevention of contagion, improve diagnosis, promote virtual learning environments, and offer remote services. However, there are still ethical, technical, security, and legal challenges to be addressed. Additionally, more imaging datasets for COVID-19 detection need to be made available to the scientific community. Working in the areas of opportunity will help to address the new normal. Likewise, Health 4.0 can be applied not only in the COVID-19 pandemic, but also in future global viruses and natural disasters.

Indexed as

Artificial IntelligenceCommunication networksCOVID-19Health 4.0Machine learningRemote clinical services

Identifiers

PMID34603926
PMCPMC8477175

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.