Validation

study abstracts with links to full publications

2016    2015    2014    2013    2012    2011    2010 and earlier

At Mimic, we understand that independent validation is of utmost importance to our customers. We are proud to say that the dV-Trainer has demonstrated face, content, construct, and concurrent validity in multiple studies. More recently, studies have concluded that the dV-Trainer is comparable to dry-lab training on the da Vinci^® robot (concurrent validity), and efforts are under way to assess the predictive validity of the simulator.

Mimic’s dV-Trainer was the first commercially available simulator for robotic surgery with the first prototype installed at Indiana University’s Department of Urology in February of 2007. The dV-Trainer remains the only stand-alone robotic simulator that has been independently validated in published studies.

Validation Definitions:
Face: Realistic look and feel

Content: Useful as a training tool

Construct: Ability to distinguish between Novice and Expert users

Concurrent: Compares to a similar or related construct (Dry Labs, Tissue Lab, etc.)

Predictive: Predicts actual performance in the O.R.

 

 

	DVSS (ISI Hardware, Mimic Software)	dV-Trainer (Mimic Hardware Mimic Software)
Face Subjective realism of the simulator	Hung 2011 Liss 2012 Tanaka 2015	Lendvay 2008 Kenney 2009 Perrenot 2012 Korets 2011 Tanaka 2015
Content Judgement of appropriateness of the teaching modality	Hung 2011 Liss 2012 Tanaka 2015	Kenney 2009 Sethi 2009 Perrenot 2012 Tanaka 2015
Construct Able to distinguish experienced from inexperienced surgeon	Hung 2011 Liss 2012 Finnegan 2012 Hung 2013 Tanaka 2015	Kenney 2009 Korets 2011 Perrenot 2012 Tanaka 2015
Concurrent Extent to which the simulator correlates with the “ Gold standard”	Hung 2012 Tergas 2013 Hubert 2015	Korets 2011 Perrenot 2012 Lendvay 2013 Hubert 2015
Predicative Extent to which simulator predicts future performance	Hung 2012 Tergas 2013 Culligan 2014