Using CollaboRATE to Characterize Surgeon-Level Shared-Decision Making Performance

Using CollaboRATE to describe surgeon-level variability will be useful for both benchmarking and targeted quality improvement. These results suggest SDM might be a modifiable skill warranting targeted improvement efforts and surgeon-specific training.

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Publication Details

Journal
Journal of the American College of Surgeons
Published
2026-03-03
DOI
https://doi.org/10.1097/xcs.0000000000001886
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
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article

Using CollaboRATE to Characterize Surgeon-Level Shared-Decision Making Performance

Bruce L. Hall, Geoffrey G. Hobika, C. Ko, Jason B. Liu et al.
Journal of the American College of Surgeons
Surgical Simulation and Training
article

Using CollaboRATE to Characterize Surgeon-Level Shared-Decision Making Performance

Bruce L. Hall, Geoffrey G. Hobika, C. Ko, Jason B. Liu, Andrea L Pusic, Zara R Cooper, Anoosha Moturu
article en

Abstract

Using CollaboRATE to describe surgeon-level variability will be useful for both benchmarking and targeted quality improvement. These results suggest SDM might be a modifiable skill warranting targeted improvement efforts and surgeon-specific training.

Journal of the American College of Surgeons
Brigham and Women's Hospital (US), The University of Texas MD Anderson Cancer Center (US), Harvard University (US), University of California, Los Angeles (US), University of Rochester Medical Center (US), Stanford Health Care (US), Jacobs Institute (US), University at Buffalo, State University of New York (US), University of California, Davis (US), American College of Surgeons (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 35%
Surgical Simulation and Training
DOISourceOpenAlex
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Using CollaboRATE to Characterize Surgeon-Level Shared-Decision Making Performance — Bruce L. Hall, Geoffrey G. Hobika, et al. · Journal of the American College of Surgeons (2026) | TGRS Research Map | TGRS