Erika Palagonia1,2, Elio Mazzone1,2,3, Geert De Naeyer1,2, Frederiek D'Hondt1,2, Justin Collins1, Pawel Wisz1,2, Fijs W B Van Leeuwen1,4,5, Henk Van Der Poel5, Peter Schatteman1,2, Alexandre Mottrie1,2, Paolo Dell'Oglio6,7,8. 1. ORSI Academy, Melle, Belgium. 2. Department of Urology, Onze Lieve Vrouw Hospital, Aalst, Belgium. 3. Division of Experimental Oncology and Department of Urology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy. 4. Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands. 5. Department of Urology, Antoni van Leeuwenhoek Hospital, The Netherlands Cancer Institute, Amsterdam, The Netherlands. 6. ORSI Academy, Melle, Belgium. paolo.delloglio@gmail.com. 7. Department of Urology, Onze Lieve Vrouw Hospital, Aalst, Belgium. paolo.delloglio@gmail.com. 8. Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands. paolo.delloglio@gmail.com.
Abstract
PURPOSE: To assess the available literature evidence that discusses the effect of surgical experience on patient outcomes in robotic setting. This information is used to help understand how we can develop a learning process that allows surgeons to maximally accommodate patient safety. METHODS: A literature search of the MEDLINE/PubMed and Scopus database was performed. Original and review articles published in the English language were included after an interactive peer-review process of the panel. RESULTS: Robotic surgical procedures require high level of experience to guarantee patient safety. This means that, for some procedures, the learning process might be longer than originally expected. In this context, structured training programs that assist surgeons to improve outcomes during their learning processes were extensively discussed. We identified few structured robotic curricula and demonstrated that for some procedures, curriculum trained surgeons can achieve outcomes rates during their initial learning phases that are at least comparable to those of experienced surgeons from high-volume centres. Finally, the importance of non-technical skills on patient safety and of their inclusion in robotic training programs was also assessed. CONCLUSION: To guarantee safe robotic surgery and to optimize patient outcomes during the learning process, standardized and validated training programs are instrumental. To date, only few structured validated curricula exist for standardized training and further efforts are needed in this direction.
PURPOSE: To assess the available literature evidence that discusses the effect of surgical experience on patient outcomes in robotic setting. This information is used to help understand how we can develop a learning process that allows surgeons to maximally accommodate patient safety. METHODS: A literature search of the MEDLINE/PubMed and Scopus database was performed. Original and review articles published in the English language were included after an interactive peer-review process of the panel. RESULTS: Robotic surgical procedures require high level of experience to guarantee patient safety. This means that, for some procedures, the learning process might be longer than originally expected. In this context, structured training programs that assist surgeons to improve outcomes during their learning processes were extensively discussed. We identified few structured robotic curricula and demonstrated that for some procedures, curriculum trained surgeons can achieve outcomes rates during their initial learning phases that are at least comparable to those of experienced surgeons from high-volume centres. Finally, the importance of non-technical skills on patient safety and of their inclusion in robotic training programs was also assessed. CONCLUSION: To guarantee safe robotic surgery and to optimize patient outcomes during the learning process, standardized and validated training programs are instrumental. To date, only few structured validated curricula exist for standardized training and further efforts are needed in this direction.
Entities:
Keywords:
Learning curve; Robot-assisted surgery; Safety; Surgical skills; Training
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