da Vinci Skills Simulator for Assessing Learning Curve and Criterion-based Training of Robotic Basic Skills
Publication year
2013Source
Urology, 81, 3, (2013), pp. 562-6ISSN
Publication type
Article / Letter to editor
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Organization
Urology
Surgery
Operating Rooms
Gynaecology
Journal title
Urology
Volume
vol. 81
Issue
iss. 3
Page start
p. 562
Page end
p. 6
Subject
NCEBP 1: Molecular epidemiology; NCEBP 2: Evaluation of complex medical interventions; ONCOL 3: Translational research; ONCOL 4: Quality of Care; ONCOL 5: Aetiology, screening and detectionAbstract
OBJECTIVE: To answer 2 research questions: what are the learning curve patterns of novices on the da Vinci skills simulator parameters and what parameters are appropriate for criterion-based robotic training. MATERIALS AND METHODS: A total of 17 novices completed 2 simulator sessions within 3 days. Each training session consisted of a warming-up exercise, followed by 5 repetitions of the "ring and rail II" task. Expert participants (n = 3) performed a warming-up exercise and 3 repetitions of the "ring and rail II" task on 1 day. We analyzed all 9 parameters of the simulator. RESULTS: Significant learning occurred on 5 parameters: overall score, time to complete, instrument collision, instruments out of view, and critical errors within 1-10 repetitions (P <.05). Economy of motion and excessive instrument force only showed improvement within the first 5 repetitions. No significant learning on the parameter drops and master workspace range was found. Using the expert overall performance score (n = 3) as a criterion (overall score 90%), 9 of 17 novice participants met the criterion within 10 repetitions. CONCLUSION: Most parameters showed that basic robotic skills are learned relatively quickly using the da Vinci skills simulator, but that 10 repetitions were not sufficient for most novices to reach an expert level. Some parameters seemed inappropriate for expert-based criterion training because either no learning occurred or the novice performance was equal to expert performance.
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- Academic publications [238586]
- Faculty of Medical Sciences [90409]
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