Evidence map›Paper›PMID 32425428›Full record

ReviewJournal of clinical orthopaedics and trauma

Internet of Medical Things (IoMT) for orthopaedic in COVID-19 pandemic: Roles, challenges, and applications.

Ravi Pratap Singh, Mohd Javaid, Abid Haleem, Raju Vaishya, Shokat Ali

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of clinical orthopaedics and trauma. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–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

52 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Adoption of blockchain as a step forward in orthopedic practice.European journal of translational myology · 2024
    Article
  7. Artificial intelligence-based orthopaedic perpetual design.Journal of clinical orthopaedics and trauma · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead.Journal of King Saud University. Computer and information sciences · 2022
    Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Prognosis patients with COVID-19 using deep learning.BMC medical informatics and decision making · 2022
    Article
  17. Article
  18. Article
  19. The Role of Emerging Technologies to Fight Against COVID-19 Pandemic: An Exploratory Review.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2022
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ravi Pratap SinghDepartment of Industrial and Production Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India.
Mohd JavaidDepartment of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India.
Abid HaleemDepartment of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India.
Raju VaishyaDepartment of Orthopaedics, Indraprastha Apollo Hospital, SaritaVihar, Mathura Road, 110076, New Delhi, India.
Shokat AliDepartment of CSE, Government Polytechnic College Bikram Chowk, Jammu, J&K, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internet of Medical Things (IoMT) is an innovative mean of amalgamating medical devices and their applications to connect with the healthcare information technology systems by using networking technologies. We have explored the possibilities of confronting the ongoing COVID-19 pandemic by implementing the IoMT approach while offering treatment to orthopaedic patients. The data sharing, report monitoring, patients tracking, information gathering and analysis, hygiene medical care, etc. are the various cloud and connected network-based services of IoMT. It can completely change the working layout of the healthcare facilities while treating orthopaedic patients with a superior level of care and more satisfaction, especially during this pandemic COVID-19 lockdown. Remote-location healthcare has also become feasible with the proposed IoMT approach.

Indexed as

CoronavirusCOVID-19Internet of medical thingsIoMT applicationsOrthopaedicPandemic

Identifiers

PMID32425428
PMCPMC7227564

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.