Evidence map›Paper›PMID 38193448›Full record

ReviewWorkplace health & safety2024

Digital Innovations for Occupational Safety: Empowering Workers in Hazardous Environments.

Joana Eva Dodoo, Hosam Al-Samarraie, Ahmed Ibrahim Alzahrani, Maria Lonsdale, Nasser Alalwan

Abstract readReview
In one paragraph

Review in Workplace health & safety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Joana Eva DodooDepartment of Business Studies, College of Distance Education, Cape Coast University, Cape Coast, Ghana.
Hosam Al-SamarraieSchool of Design, University of Leeds, Leeds, UK.ORCID 0000-0002-9861-8989
Ahmed Ibrahim AlzahraniComputer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia.
Maria LonsdaleSchool of Design, University of Leeds, Leeds, UK.
Nasser AlalwanComputer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe quest to increase safety awareness, make job sites safer, and promote decent work for all has led to the utilization of digital technologies in hazardous occupations. This study investigated the use of digital innovations for safety and health management in hazardous industries. The key challenges and recommendations associated with such use were also explored.

methodUsing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, a total of 48 studies were reviewed to provide a framework for future pathways for the effective implementation of these innovations.

findingsThe results revealed four main categories of digital safety systems: wearable-based systems, augmented/virtual reality-based systems, artificial intelligence-based systems, and navigation-based systems. A wide range of technological, behavioral, and organizational challenges were identified in relation to the key themes.

conclusionOutcomes from this review can inform policymakers and industrial decision-makers about the application of digital innovations for best safety practices in various hazardous work conditions.

Indexed as

Artificial IntelligenceIndustryHumansPower, PsychologicalWorkplacehazardous occupationsimmersive technologytechnology and safetyworkers health

Identifiers

PMID38193448
PMCPMC10928957

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.