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Safe Implementation of Robotic Colorectal Surgery: Balancing Surgical Training and Patient Safety with the
Jurij Aleš Košir1, Miha Petrič1,2, Blaž Trotovšek1,2
1Department of Abdominal Surgery, University Medical Centre Ljubljana, Zaloška 7, 1000 Ljubljana, Slovenia.
Journal of Clinical Medicine
|July 28, 2026
Summary
A dual-console robotic system allows safe training for colorectal surgery. This approach ensures patient safety and high-quality outcomes while accelerating the learning curve for new surgeons.
Area of Science:
- Minimally invasive surgery
- Surgical robotics
- Colorectal surgery
Background:
- Robotic platforms enhance minimally invasive colorectal surgery options.
- Concerns exist regarding surgeon training and patient safety with robotic systems.
- Dual-console robotic systems offer potential for real-time coaching and improved outcomes.
Purpose of the Study:
- To implement and evaluate a structured framework for the safe adoption of robotic colorectal surgery using a dual-console model.
- To balance trainee autonomy with patient safety during the implementation phase.
- To assess early program outcomes, including safety, efficacy, and oncologic quality.
Main Methods:
- A dual-console robotic system was used with a structured framework for implementation.
- Early cases focused on low-complexity pathology, with progression based on predefined benchmarks.
- Prospective data collection evaluated intraoperative adverse events, conversions, morbidity, anastomotic integrity, oncologic metrics, and operative time.
Main Results:
- 17 patients were analyzed, with no conversions or anastomotic leaks observed.
- Overall complications were comparable to established robotic colorectal surgery cases.
- Resection margins and lymph node yields met oncologic standards; operative times decreased significantly after 8-13 cases.
Conclusions:
- Dual-console robotic surgery facilitates safe and scalable training in colorectal procedures.
- This strategy maintains short-term patient outcomes and oncologic quality.
- Key components include case selection, proficiency-based progression, coaching, standardized protocols, and data monitoring.

