Evidence map›Paper›PMID 35329592›Full record

ReviewMaterials (Basel, Switzerland)2022

Industry 4.0 and Digitalisation in Healthcare.

Vladimir V Popov, Elena V Kudryavtseva, Nirmal Kumar Katiyar, Andrei Shishkin, Stepan I Stepanov, Saurav Goel

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Pediatrics 4.0: the Transformative Impacts of the Latest Industrial Revolution on Pediatrics.Health care analysis : HCA : journal of health philosophy and policy · 2026
    Article
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  3. Review
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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

6 authors.

Vladimir V PopovDepartment of Materials Science and Engineering, Tel Aviv University, Ramat Aviv, Tel Aviv 6997801, Israel.ORCID 0000-0003-4850-9212
Elena V KudryavtsevaObstetrics and Gynecology Department, Ural State Medical University, 620000 Ekaterinburg, Russia.ORCID 0000-0003-2797-1926
Nirmal Kumar KatiyarSchool of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, UK.ORCID 0000-0001-8795-7857
Andrei ShishkinRudolfs Cimdins Riga Biomaterials Innovations and Development Centre of RTU, Institute of General Chemical Engineering, Faculty of Materials Science and Applied Chemistry, Riga Technical University, 1007 Riga, Latvia.ORCID 0000-0003-1944-5766
Stepan I StepanovHigher School of Engineering, Ural Federal University, 620002 Ekaterinburg, Russia.ORCID 0000-0002-0554-8775
Saurav GoelSchool of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, UK.ORCID 0000-0002-8694-332X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industry 4.0 in healthcare involves use of a wide range of modern technologies including digitisation, artificial intelligence, user response data (ergonomics), human psychology, the Internet of Things, machine learning, big data mining, and augmented reality to name a few. The healthcare industry is undergoing a paradigm shift thanks to Industry 4.0, which provides better user comfort through proactive intervention in early detection and treatment of various diseases. The sector is now ready to make its next move towards Industry 5.0, but certain aspects that motivated this review paper need further consideration. As a fruitful outcome of this review, we surveyed modern trends in this arena of research and summarised the intricacies of new features to guide and prepare the sector for an Industry 5.0-ready healthcare system.

Indexed as

big datadigitalisationhealthcareIndustry 4.0Internet of Things

Identifiers

PMID35329592
PMCPMC8953130

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.