Evidence map›Paper›PMID 41773745›Full record

ArticleAmerican journal of industrial medicine2026

Robot-Related Workers' Compensation Claims in Ohio, 2001-2020.

Vaishakhi Suresh, Srinivas Konda, Justin M Haney, Hugo E Camargo, Marvin Cheng, Darlene Weaver, Steven J Wurzelbacher, Alysha R Meyers, Steven J Naber, Mike Lampl

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2026. 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
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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

10 authors.

Vaishakhi SureshElectric Power Research Institute, Charlotte, North Carolina, USA.
Srinivas KondaDivision of Safety Research, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA.ORCID 0000-0002-8934-4111
Justin M HaneyDivision of Safety Research, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA.
Hugo E CamargoDivision of Safety Research, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA.
Marvin ChengDivision of Safety Research, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA.
Darlene WeaverDivision of Safety Research, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA.
Steven J WurzelbacherDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA.ORCID 0000-0002-8843-8239
Alysha R MeyersDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA.ORCID 0000-0002-6402-0145
Steven J NaberOffice of Safety Services, Ohio Bureau of Workers' Compensation, Columbus, Ohio, USA.
Mike LamplOffice of Safety Services, Ohio Bureau of Workers' Compensation, Columbus, Ohio, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundIncreased robot adoption and advancements in robotics have led to the emergence of robotic arms for collaborative applications that work alongside humans, increasing direct human-robot interaction. This shift highlights the need to address new safety challenges posed by emerging robotic technologies. Currently, there is limited research on robot-related injuries.

methodsRobot-related workers' compensation claims from 2001 to 2020 were identified using a keyword search from the Ohio Bureau of Workers' Compensation (OHBWC) database. Descriptive analyses were conducted on this claims dataset.

resultsFrom 2001 to 2020, 1076 robot-related claims were identified, with 85% medical-only claims (medical care only and/or ≤ 7 days away from work). Most claimants were male (74.2%), and 51.1% were 25-44 years old. More than half of the claims were due to contact with objects and equipment (57.9%), followed by overexertion and bodily reaction (20.6%). Most injuries occurred in the manufacturing sector (75.1%), followed by the service sector (14.7%). The claims resulted in over $8.3 million in costs. Of this figure, 91% was incurred due to lost-time claims ($7.6 million). Almost 30% of claims included diagnoses from multiple diagnosis groups. Most claims involved working with robotic arms for collaborative applications (75.7%) in a shared workspace.

conclusionsRobotics is rapidly evolving to remove workers from hazardous environments and reduce risks from hazardous, repetitive, and manual tasks, but it may introduce new workplace hazards. There is a need to study robot-related injuries, identify high-risk exposures, and develop sector- or application-specific comprehensive safety approaches for safer implementation of robots in the workplace.

Indexed as

Occupational InjuriesRoboticsWorkers' CompensationAdultFemaleHumansMaleMiddle AgedOhioYoung Adultinjuriesoccupationalrobotsafetyworkers' compensation

Identifiers

PMID41773745
PMCPMC13130054

What OpenQuestion holds

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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.