Evidence map›Paper›PMID 42524658›Full record

ArticleIndian journal of occupational and environmental medicine

Harnessing Quantum Technologies for Safer Workplaces: A Transformative Paradigm in Occupational Safety and Health.

G Avinash, SukhDev Mishra

Abstract readEditorial
In one paragraph

Article in Indian journal of occupational and environmental medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

G AvinashDepartment of Biostatistics, Division of Health Sciences, ICMR-National Institute of Occupational Health, Ahmedabad, Gujarat, India.
SukhDev MishraDepartment of Biostatistics, Division of Health Sciences, ICMR-National Institute of Occupational Health, Ahmedabad, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the world celebrates the centenary of quantum science in 2025, quantum technologies (QTs) are emerging as a transformative force across multiple sectors, including occupational safety and health (OSH). Far from being a source of risk, QTs have the potential to significantly enhance OSH outcomes through ultra-sensitive quantum sensors for environmental and health monitoring, secure quantum communication for protected data transmission, quantum simulations for ergonomic workplace design, and advanced predictive analytics for risk prevention. This paper explores how these innovations can revolutionize workplace safety and health infrastructure, especially in high-risk environments like mining, manufacturing, chemical plants, health monitoring, and military settings. Through strategic policy integration, safety-by-design principles, and interdisciplinary collaboration, the quantum revolution can be harnessed not only to redefine technological capabilities, but also to create safer, smarter, and more resilient occupational ecosystems. By proposing quantum-specific safety classifications, interdisciplinary oversight, and international collaboration, this paper calls for embedding safety-by-design principles into the core of quantum Research and Development (R and D). As quantum technologies become foundational to future industries, worker safety must advance in tandem framing quantum not merely as a technological revolution, but as a unique opportunity to reimagine the relationship between innovation and human well-being.

Indexed as

Health monitoringnational quantum missionoccupational safetyquantum sensorsquantum technologiessafety frameworks

Identifiers

PMID42524658
PMCPMC13411835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.