Skill transferability is demonstrated in cross-platform simulated training amongst experts and novices¶

Claim · All claims
Evidence · 1 study · review r3 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Novices and experts demonstrated consistent performances when crossing between robotic platforms in simulated settings, supporting skill transfer. → Liu Wai Miu Emma 2026

Evidence¶

Liu Wai Miu Emma 2026¶

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

q2 · i? · review · r3

Narrative synthesis of five included observational studies in this systematic review, following PRISMA and SWiM guidelines. The review reports that "Skill transferability was demonstrated in cross-platform simulated training amongst experts and novices". No effect size is printed for this overall finding.

"Skill transferability was demonstrated in cross-platform simulated training amongst experts and novices, indicating that core robotic surgical skills can be applied across systems."

Discussion¶

Related Claims¶

• Console design variations influence skill transferability between robotic platforms — related
• Intermediate-level trainees exhibit reduced performance when transferring between robotic platforms (GEARS −2.9) — reports the opposite
• Participants perceive skills as transferable between the Hugo RAS and dV-trainer, with higher workload reported on the SP platform — related
• Prior robotic surgical experience is the main driver of better baseline performance and skills progression — related