Evidence map›Paper›PMID 35284203›Full record

ReviewHealth and technology2022

Digital technologies, healthcare and Covid-19: insights from developing and emerging nations.

Mukesh Chandra, Kunal Kumar, Prabhat Thakur, Somnath Chattopadhyaya, Firoz Alam, Satish Kumar

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Health and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Mobile robots for isolation-room hospital settings: A scenario-based preliminary study.Computational and structural biotechnology journal · 2024
    Article
  8. Digital Health Revolution in India: Transforming Health and Medicine.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Exploring new avenues: Global health, democracy, and digital transformation.Journal of family medicine and primary care · 2023
    Article
  17. Review
  18. Article
  19. 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.

Mukesh ChandraDepartment of Production and Industrial Engineering, BIT, Sindri, Dhanbad, Jharkhand 828123 India.ORCID 0000-0002-2269-5152
Kunal KumarDepartment of Production and Industrial Engineering, BIT, Sindri, Dhanbad, Jharkhand 828123 India.
Prabhat ThakurDepartment of Production and Industrial Engineering, BIT, Sindri, Dhanbad, Jharkhand 828123 India.
Somnath ChattopadhyayaDepartment of Mechanical Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004 India.
Firoz AlamSchool of Engineering (Aerospace, Mechanical and Manufacturing), RMIT University, VIC 3083 Melbourne, Australia.
Satish KumarDepartment of Applied Mechanics, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh 211004 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 pandemic created a global health crisis affecting every nation. The essential smart medical devices/accessories, quarantine facilities, surveillance systems, and related digital technologies are in huge demand. Healthcare, manufacturing industries, and educational institutions need technologies that allow working from a safe location. Digital technologies and Industry 4.0 tools have the potential to fulfil these customized requirements during and post COVID-19 crisis. The purpose of this research is to provide understanding to healthcare professionals, government policymakers, researchers, industry professionals, academics, and students/learners of the paradigm of different Digital technologies, Industry 4.0 tools, and their applications during the COVID-19 pandemic. Digital technologies, Industry 4.0 tools and their current and potential applications have been reviewed. The use of different Digital technologies and Industry 4.0 tools is identified. Digital technologies and Industry 4.0 tools (3D Printing, Artificial Intelligence, Cloud Computing, Autonomous Robot, Biosensor, Telemedicine service, Internet of Things (IoT), Virtual reality, and holography) offer opportunities for effective delivery of healthcare service(s), online education, and Work from Home (WFH) environment. The article emphasises the usefulness, most recent development, and implementation of Digital technologies, Industry 4.0 techniques, and tools in fighting the COVID-19 pandemic worldwide.

Indexed as

COVID-19Digital technologiesHealthcareIndustry 4.0Telemedicine

Identifiers

PMID35284203
PMCPMC8898601

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.