VR-based training and assessment in ultrasound-guided regional anesthesia: From error analysis to system design

Lövquist, Erik, O'Sullivan, Owen, Oh'Ainle, Donnchadh, Baitson, Graham, Shorten, George and Avis, Nicholas John 2011. VR-based training and assessment in ultrasound-guided regional anesthesia: From error analysis to system design. Westwood, James D., Westwood, Susan W., Felländer-Tsai, Li, Haluck, Randy S., Hoffman, Helene M., Robb, Richard A., Senger, Steven and Vosburgh, Kirby G., eds. Medicine Meets Virtual Reality 18, Studies in Health Technology and Informatics, vol. 163. Amsterdam: IOS Press, pp. 304-310. (10.3233/978-1-60750-706-2-304)

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Abstract

If VR-based medical training and assessment is to improve patient care and safety (i.e. a genuine health gain), it has to be based on clinically relevant measurement of performance. Metrics on errors are particularly useful for capturing and correcting undesired behaviors before they occur in the operating room. However, translating clinically relevant metrics and errors into meaningful system design is a challenging process. This paper discusses how an existing task and error analysis was translated into the system design of a VR-based training and assessment environment for Ultrasound Guided Regional Anesthesia (UGRA).

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	IOS Press
ISBN:	9781607507055
Related URLs:	Publisher
Last Modified:	19 Mar 2016 23:20
URI:	https://orca.cardiff.ac.uk/id/eprint/47694

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