Catchpole, K, Bisantz, A, Hallbeck, S et al. (4 more authors) (2019) Human factors in robotic assisted surgery: Lessons from studies ‘in the Wild’. Applied Ergonomics, 78. pp. 270-276. ISSN 0003-6870
Abstract
This article reviews studies conducted "in the wild" that explore the "ironies of automation" in Robotic Assisted Surgery (RAS). Workload may be reduced for the surgeon, but increased for other team members, with postural stress relocated rather than reduced, and the introduction of a range of new challenges, for example, in the need to control multiple arms, with multiple instruments; and the increased demands of being physically separated from the team. Workflow disruptions do not appear to be more frequent, the prevalence of equipment and training disruptions differs from other types of surgeries. A consistent observation is that communication and coordination problems are relatively frequent, suggesting that specific verbal and non-verbal cues may need to be trained. RAS also changes the necessary size of the operating room instrument cleaning processes. These studies demonstrate the value of clinically-based human factors engineers working alongside surgical teams to improve the delivery of RAS.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, Elsevier Ltd. This is an author produced version of a paper published in Applied Ergonomics. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Surgery; Robotics; Human factors; Automation; Workload; Teamwork |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Healthcare (Leeds) > Nursing Adult (Leeds) |
Funding Information: | Funder Grant number NIHR National Inst Health Research 12/5005/04 |
Depositing User: | Symplectic Publications |
Date Deposited: | 26 Feb 2018 15:58 |
Last Modified: | 21 May 2019 14:10 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.apergo.2018.02.011 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:127781 |