Structured cross-platform training curriculum combining generalised exposure and platform-specific proficiency¶

Strategy · All strategies
Evidence · 5 claims (4 for, 1 mixed) · 1 study (1 review), q2 · 0 of 1 report an effect size · 5 claims rest on one study

Description¶

The review recommends a structured, cross-platform training curriculum for robotic surgery with two components: "a generalised cross-platform training exposing trainees to the nuances and ergonomic differences between platforms, and secondly, platform-specific proficiency training on the system used by their home institution". It proposes starting with VR simulation for basic skills then advancing to higher fidelity dry- or wet-lab models, to build adaptive expertise across systems while maintaining patient safety.

Design Implications¶

Context¶

Requirements¶

• Integration of both generalised cross-platform exposure and platform-specific proficiency training
• Initial use of VR simulations for basic skills, then advancing to higher fidelity dry- or wet-lab models

Constraints¶

• The review notes further research is required to clarify how cross-platform training can be systematically integrated, ideally via prospective randomised controlled trials

Target Learners¶

• surgical trainees in early robotic training

Target Learning Goals¶

• transferable robotic surgical skills across platforms

Claims¶

• Console design variations influence skill transferability between robotic platforms [+W]
• Skill transferability is demonstrated in cross-platform simulated training amongst experts and novices [+W]
• Intermediate-level trainees exhibit reduced performance when transferring between robotic platforms (GEARS −2.9) [+W]
• Participants perceive skills as transferable between the Hugo RAS and dV-trainer, with higher workload reported on the SP platform [+W]
• Prior robotic surgical experience is the main driver of better baseline performance and skills progression [~W]

Related Strategies¶

• Train robotic surgery teams regularly by simulating intraoperative emergencies and maintain a dedicated team
• Structure robotic surgery curricula as a stepwise progression in which training modalities complement rather than replace each other

Examples¶

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Key Sources¶

• Liu Wai Miu Emma, Burr Katy-Anne, Dave Charvi, Pearse Callum, Li Yang, Quarez Julien, Granados Alejandro, Challacombe Ben, Dasgupta Prokar, Raison Nicholas. (2026). Assessing effectiveness and skill transferability in multi-platform simulated training for robotic surgical skills: a systematic review. Journal of Robotic Surgery 20(1):121. https://doi.org/10.1007/s11701-025-03090-x