Mimic: "Best in Show" Award at International Meeting on Simulation in Healthcare

Mimic accepts "Best in Show" award with Dr. Eric Bauman of Clinical Playground.

Mimic accepts “Best in Show” award at the International Meeting on Simulation in Healthcare with Dr. Eric Bauman of Clinical Playground.

This week, Mimic Technologies showcased the dV-Trainer and the new robotic surgery simulation platform of the future, MSim 2.0, to the world’s largest audience of healthcare simulation educators, researchers, technologists, and enthusiasts at the International Meeting on Simulation in Healthcare. This year’s 2013 Showcase boasted four times the space and introduced the inaugural Serious Games and Virtual Environments Best in Show Contest. Mimic was honored to accept the Serious Games Award for Best In Show – Commercial Interest category.

surgery simulation

Kevin Conley, Chicago Museum of Science and Industry, gets feedback after testing out the dV-trainer at the Serious Games Arcade during IMSH

In case you missed a chance to attend the event, here’s a closer look at the features of the dV-Trainer.

Mimic Technologies, Inc – dV-Trainer™
Proven and Cost-effective Training for the da Vinci® Surgical System

Validated by independent studies and placed at institutions and hospitals worldwide, the dV-Trainer by Mimic Technologies, Inc is a powerful yet cost-effective simulator for robotic surgery skills training. Introduced in 2007, the dV-Trainer was the first simulator to recreate the look and feel of the da Vinci® Surgery System.

The dV-Trainer is exclusively built on Mimic’s new simulation platform, MSim™ 2.0. Based on the latest rendering technology, it produces the most realistic and life-like simulation in the industry, and positions the dV-Trainer solution for soon-to-come advanced procedure specific content.

The training content of the dV-Trainer has been developed in collaboration with leading surgeons and educators. Nearly 50 exercises—relevant to surgeons from any specialty—cover console overview, basic da Vinci® skills, and advanced surgical skills. Training scenarios help achieve proficiency in these critical areas:

○ EndoWrist® Manipulation ○ Energy Dissection
○ Camera Control ○ Needle Control
○ Clutching ○ Basic Needle Driving
○ Fourth Arm Control ○ Advanced Needle Driving
○ Energy Control System ○ Settings and Controls
○ Suture and Knot Tying

surgery simulator

Niya Mehta, DDS from SFVAMC tests her surgery skills on Mimic’s dV-trainer.

Objective skills assessment is essential in robotic surgery training. To measure a trainee’s level of proficiency, the dV-Trainer uses the comprehensive metrics and expert data of MScore™, which allows administrators to track performance and learning progress over time, personalize user accounts, create and share customized curricula, manage courses, and export data for in-depth analysis.

The first of its kind, Mimic’s MScore utilizes data collected from more than 100 experienced surgeons with over 75 robotic cases completed. Assessment is based on expert averages and standard deviations similar to the Fundamentals of Laparoscopic Surgery (FLS) protocol. MScore is positioned to play an integral role in the development of standards and privileging across a wide range of robotic surgical disciplines.

Mimic also offers an online forum, MShare™, which allows surgeons and hospital administrators to expand the power of MScore. This forum allows collaborators to share the most effective training protocols and curricula that were developed using MScore for the dV-Trainer and have been validated by academic research. MShare makes it easy to find the most effective and highly-rated curricula for robotic surgery skills training.

To provide a continuous training path when moving from virtual reality training on a simulator to hands-on training on the actual robot, Mimic has also developed MLabs™. These innovative robotic surgery “dry labs” are exact representations of existing virtual reality exercises available on the dV-Trainer and for the first time, surgeons will be able to easily compare training results across platforms.