Literature DB >> 21114413

ProMIS™ can serve as a da Vinci® simulator--a construct validity study.

Martin N Jonsson1, Mahmood Mahmood, Tomas Askerud, Henrik Hellborg, Stig Ramel, N Peter Wiklund, Magnus Kjellman, Gunnar Ahlberg.   

Abstract

PURPOSE: The purpose of this study was to investigate if the ProMIS™ simulator could serve as a training platform for the da Vinci® surgical system and if this constellation could prove construct validity.
MATERIALS AND METHODS: The da Vinci system was connected to the ProMIS simulator, which registered objective data concerning how the surgeon performed in the box environment related to time, path, and smoothness. Five experienced robotic surgeons passed four different surgical tasks with progressive difficulty. A novice group-constituted of 13 consultants and 6 residents, none of them with any previous experience in the da Vinci system-passed the same tasks and the data were compared with the results from the expert group.
RESULTS: A statistically significant difference between experts and novices was demonstrated in all tasks concerning time and smoothness. For the parameter path, significant difference was only noted in the more complex tasks.
CONCLUSIONS: Our study showed that ProMis could differentiate between experienced robotic surgeons and novices, thereby proving construct validity. Smoothness appeared to be the most sensitive objective parameter in our study. Tasks with high complexity are recommended when designing the program for robotic training.

Mesh:

Year:  2010        PMID: 21114413     DOI: 10.1089/end.2010.0220

Source DB:  PubMed          Journal:  J Endourol        ISSN: 0892-7790            Impact factor:   2.942


  5 in total

Review 1.  Simulation-based training in robot-assisted surgery: current evidence of value and potential trends for the future.

Authors:  Michael I Hanzly; Tareq Al-Tartir; Syed Johar Raza; Atif Khan; Mohammad Manan Durrani; Thomas Fiorica; Phillip Ginsberg; James L Mohler; Boris Kuvshinoff; Khurshid A Guru
Journal:  Curr Urol Rep       Date:  2015-06       Impact factor: 3.092

2.  Using virtual reality to maintain surgical skills during periods of robotic surgery inactivity.

Authors:  Loredana M Guseila; Archana Saranathan; Eric L Jenison; Karen M Gil; John J Elias
Journal:  J Robot Surg       Date:  2014-04-29

Review 3.  Novel Education and Simulation Tools in Urologic Training.

Authors:  Brandon S Childs; Marc D Manganiello; Ruslan Korets
Journal:  Curr Urol Rep       Date:  2019-11-28       Impact factor: 3.092

4.  External validation of Global Evaluative Assessment of Robotic Skills (GEARS).

Authors:  Monty A Aghazadeh; Isuru S Jayaratna; Andrew J Hung; Michael M Pan; Mihir M Desai; Inderbir S Gill; Alvin C Goh
Journal:  Surg Endosc       Date:  2015-01-22       Impact factor: 4.584

Review 5.  How valid are commercially available medical simulators?

Authors:  Jj Stunt; Ph Wulms; Gm Kerkhoffs; J Dankelman; Cn van Dijk; Gjm Tuijthof
Journal:  Adv Med Educ Pract       Date:  2014-10-14
  5 in total

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