Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Orsi Surgical Skills E-learning Trial

Orsi Academy · 2020
ClinicalTrials.gov · Datasets · License: Public Domain · 2020
Open Source ↗
e-learningnasurgery
The training of robotic surgical procedural skills has been challenged by changes in work practices and safety concerns specifically related to training. In surgery and procedural medicine simulation-based training has been demonstrated to supplant the early part of the learning curve. Training in the skills laboratory is however expensive because of equipment and supervision burdens. In this study the investigators will assess the economic impact of proficiency-based progression (PBP) e-learning training prior to training in the skills laboratory. 48 trainees will be randomly assigned to one of four groups. 1) will receive an apprenticeship type training (Group 1 ; n=12), 2) A standard or traditional trained group (Group 2; n=12) will then receive face-to-face lectures on how to perform the robotic surgical training task (i.e., ORSI chicken anastomosis task for learning robotic suturing and knot tying.) 3) The third group (Group 3; n=12) will have e-learning training prior to training in the skills laboratory and then learn the same task. 4) The fourth group (Group 4; n=12) will have the exact same pre-course e-learning curriculum as Group 3 but will be required to study it until they score at the quantitatively defined proficiency benchmark of experienced robotic surgeons, i.e., the mean performance level of experienced robotic surgeons - they can complete the task with \<10 performance errors. The research will be conducted at the laboratory skills lab of Orsi Academy, Proefhoevestraat 12 9090 Melle. It will be conducted by Maxime Lasseel and Laura Langhendries, under direct guidance of Dr. S. Puliatti, Prof. A.G. Gallagher and Prof. A. Mottrie.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 903983
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive