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ColoRobotica: Structured training in robotic colorectal surgery.

Marcos Gómez Ruiz1,2,3, Samson Tou4,5, Klaus E Matzel6

  • 1Colorectal Surgery Unit, General Surgery Department, Marqués de Valdecilla University Hospital, Santander, Spain.

Colorectal Disease : the Official Journal of the Association of Coloproctology of Great Britain and Ireland
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PubMed
Summary

Structured robotic colorectal surgery training was benchmarked in Europe through ColoRobotica. Preliminary results show trainee outcomes match expert surgeons, offering a model for future robotic surgical education.

Keywords:
ColoRoboticacolorectal surgerycurriculumpatient outcomeproficiencyrobotic surgerystructured trainingtraining

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Area of Science:

  • Surgical Technology
  • Medical Education

Background:

  • Robotic surgery adoption is rapidly increasing, with a projected global market of $14 billion by 2026.
  • Structured training is a critical challenge in robotic colorectal surgery.
  • The European Society of Coloproctology established ColoRobotica in 2018 to address this gap.

Purpose of the Study:

  • To benchmark robotic colorectal surgery training in Europe.
  • To develop and implement a structured training pathway with quality assurance.
  • To evaluate the effectiveness of the developed training program.

Main Methods:

  • Formation of a multidisciplinary team and establishment of a framework.
  • Development of a 2-year infrastructure build-out.
  • Design of a structured training pathway launched in 2022.

Main Results:

  • Preliminary data indicate that clinical outcomes of trainees are comparable to those of expert robotic surgeons.
  • The training program successfully established a benchmark for robotic colorectal surgery education.
  • Quality assurance interventions were embedded within the training pathway.

Conclusions:

  • The ColoRobotica model provides a successful template for structured robotic surgical training.
  • This framework can be adapted by other scientific societies and specialties.
  • Standardized training is crucial for advancing robotic surgery adoption and patient outcomes.