Evidence map›Paper›PMID 34173428›Full record

ReviewJournal of network and computer applications (Online)2021

IoMT amid COVID-19 pandemic: Application, architecture, technology, and security.

Azana Hafizah Mohd Aman, Wan Haslina Hassan, Shilan Sameen, Zainab Senan Attarbashi, Mojtaba Alizadeh, Liza Abdul Latiff

Abstract readReview
In one paragraph

Review in Journal of network and computer applications (Online), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Blockchain in Critical Care.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Review
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  8. Review
  9. Article
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  13. Review
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  19. Secure data authentication and access control protocol for industrial healthcare system.Journal of ambient intelligence and humanized computing · 2023
    Article
  20. 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

6 authors.

Azana Hafizah Mohd AmanFaculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Malaysia.
Wan Haslina HassanMalaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Malaysia.
Shilan SameenMalaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Malaysia.
Zainab Senan AttarbashiSchool of Computing, Universiti Utara Malaysia, Malaysia.
Mojtaba AlizadehDepartment of Computer Engineering, Lorestan University, Iran.
Liza Abdul LatiffFakulti Teknologi & Informatik Razak, Universiti Teknologi Malaysia, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many countries, the Internet of Medical Things (IoMT) has been deployed in tandem with other strategies to curb the spread of COVID-19, improve the safety of front-line personnel, increase efficacy by lessening the severity of the disease on human lives, and decrease mortality rates. Significant inroads have been achieved in terms of applications and technology, as well as security which have also been magnified through the rapid and widespread adoption of IoMT across the globe. A number of on-going researches show the adoption of secure IoMT applications is possible by incorporating security measures with the technology. Furthermore, the development of new IoMT technologies merge with Artificial Intelligence, Big Data and Blockchain offers more viable solutions. Hence, this paper highlights the IoMT architecture, applications, technologies, and security developments that have been made with respect to IoMT in combating COVID-19. Additionally, this paper provides useful insights into specific IoMT architecture models, emerging IoMT applications, IoMT security measurements, and technology direction that apply to many IoMT systems within the medical environment to combat COVID-19.

Indexed as

COVID-19 pandemic mitigationIoMT applicationIoMT architectureIoMT securityIoMT technology

Identifiers

PMID34173428
PMCPMC7605812

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.