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Safety, efficiency and learning curves in robotic surgery: a human factors analysis

Overview of attention for article published in Surgical Endoscopy, December 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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1 policy source
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6 X users
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1 Facebook page

Citations

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89 Dimensions

Readers on

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153 Mendeley
Title
Safety, efficiency and learning curves in robotic surgery: a human factors analysis
Published in
Surgical Endoscopy, December 2015
DOI 10.1007/s00464-015-4671-2
Pubmed ID
Authors

Ken Catchpole, Colby Perkins, Catherine Bresee, M. Jonathon Solnik, Benjamin Sherman, John Fritch, Bruno Gross, Samantha Jagannathan, Niv Hakami-Majd, Raymund Avenido, Jennifer T. Anger

Abstract

Expense, efficiency of use, learning curves, workflow integration and an increased prevalence of serious incidents can all be barriers to adoption. We explored an observational approach and initial diagnostics to enhance total system performance in robotic surgery. Eighty-nine robotic surgical cases were observed in multiple operating rooms using two different surgical robots (the S and Si), across several specialties (Urology, Gynecology, and Cardiac Surgery). The main measures were operative duration and rate of flow disruptions-described as 'deviations from the natural progression of an operation thereby potentially compromising safety or efficiency.' Contextual parameters collected were surgeon experience level and training, type of surgery, the model of robot and patient factors. Observations were conducted across four operative phases (operating room pre-incision; robot docking; main surgical intervention; post-console). A mean of 9.62 flow disruptions per hour (95 % CI 8.78-10.46) were predominantly caused by coordination, communication, equipment and training problems. Operative duration and flow disruption rate varied with surgeon experience (p = 0.039; p < 0.001, respectively), training cases (p = 0.012; p = 0.007) and surgical type (both p < 0.001). Flow disruption rates in some phases were also sensitive to the robot model and patient characteristics. Flow disruption rate is sensitive to system context and generates improvement diagnostics. Complex surgical robotic equipment increases opportunities for technological failures, increases communication requirements for the whole team, and can reduce the ability to maintain vision in the operative field. These data suggest specific opportunities to reduce the training costs and the learning curve.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 15%
Student > Ph. D. Student 15 10%
Other 14 9%
Researcher 12 8%
Student > Bachelor 11 7%
Other 32 21%
Unknown 46 30%
Readers by discipline Count As %
Medicine and Dentistry 41 27%
Engineering 20 13%
Nursing and Health Professions 10 7%
Business, Management and Accounting 5 3%
Social Sciences 5 3%
Other 20 13%
Unknown 52 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 January 2022.
All research outputs
#4,394,180
of 24,917,903 outputs
Outputs from Surgical Endoscopy
#595
of 6,696 outputs
Outputs of similar age
#68,741
of 401,873 outputs
Outputs of similar age from Surgical Endoscopy
#10
of 130 outputs
Altmetric has tracked 24,917,903 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,696 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 401,873 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.