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Aim <p>A new robotic platform, the Hugo™ robotic-assisted surgery (RAS) system, has been introduced to the market, featuring innovations such as modular arms and an open console, distinguishing it from the Da Vinci system. These differences highlight the need to establish specific, standardized training, credentialing criteria, and clinical guidelines for the use of this platform. To date, this represents the first international expert consensus on the Hugo™ RAS system.</p> Methods <p>Eleven European colorectal experts with experience using the Hugo™ RAS platform were invited to participate in this Delphi study. Seventy-seven questions related to this robotic platform were grouped into six domains: (1) required knowledge, (2) technical skills, (3) nontechnical skills, (4) assessment of competency/proficiency during training, (5) credentialing and clinical outcome data, and (6) setups and surgical technique. A three-round Delphi process was conducted. Participants were asked to indicate their agreement or disagreement using a Likert scale (0–5) regarding the proposed themes. Consensus was reached, with a minimum agreement level of 0.80 (80%).</p> Results <p>All the experts completed the three Delphi rounds, ensuring a 100% response rate throughout the process. Of the 78 statements evaluated, 33 (42%) achieved consensus agreement (&gt; 80%) and were considered consensus recommendations, while 15 statements showed consensus disagreement (&lt; 20%). The remaining items reflected areas of uncertainty.</p> Conclusions <p>The first consensus statement on robotic colorectal surgery with the Hugo™ RAS platform, developed by a European panel of experts, represents an important milestone and provides recommendations for colorectal surgeons considering the adoption of this new robotic platform.</p>

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European Delphi consensus on specific training, implementation requirements, and clinical use for the Hugo™ robotic-assisted surgery platform in colorectal procedures

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月10日

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  • Antonio Arroyo,
  • Orlin Belyaev,
  • Paolo Pietro Bianchi,
  • Pedro Brandão,
  • Pablo Collera,
  • Juan-Manuel Romero-Marcos,
  • Matteo Rottoli,
  • Rebekka Troller,
  • Bert Van Den Bossche,
  • David Daniel Eisinga Zimmerman,
  • Clara Pérez-Esteve,
  • Luis Sánchez-Guillén

摘要

Aim

A new robotic platform, the Hugo™ robotic-assisted surgery (RAS) system, has been introduced to the market, featuring innovations such as modular arms and an open console, distinguishing it from the Da Vinci system. These differences highlight the need to establish specific, standardized training, credentialing criteria, and clinical guidelines for the use of this platform. To date, this represents the first international expert consensus on the Hugo™ RAS system.

Methods

Eleven European colorectal experts with experience using the Hugo™ RAS platform were invited to participate in this Delphi study. Seventy-seven questions related to this robotic platform were grouped into six domains: (1) required knowledge, (2) technical skills, (3) nontechnical skills, (4) assessment of competency/proficiency during training, (5) credentialing and clinical outcome data, and (6) setups and surgical technique. A three-round Delphi process was conducted. Participants were asked to indicate their agreement or disagreement using a Likert scale (0–5) regarding the proposed themes. Consensus was reached, with a minimum agreement level of 0.80 (80%).

Results

All the experts completed the three Delphi rounds, ensuring a 100% response rate throughout the process. Of the 78 statements evaluated, 33 (42%) achieved consensus agreement (> 80%) and were considered consensus recommendations, while 15 statements showed consensus disagreement (< 20%). The remaining items reflected areas of uncertainty.

Conclusions

The first consensus statement on robotic colorectal surgery with the Hugo™ RAS platform, developed by a European panel of experts, represents an important milestone and provides recommendations for colorectal surgeons considering the adoption of this new robotic platform.