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 Avis, Nick
Lövquist, Erik
O'Sullivan, Owen
Oh'Ainle, Donnchadh
Baitson, Graham
Shorten, George
Avis, Nick
Advisors
Editors
Other Contributors
Date
2011
Date Submitted
Keywords
Other Subjects
Subject Mesh
Anesthesia, Conduction
Anesthesiology
Anesthetics
Computer Simulation
Computer-Assisted Instruction
Humans
Injections
Models, Biological
Needles
Teaching
Ultrasonography, Interventional
User-Computer Interface
Anesthesiology
Anesthetics
Computer Simulation
Computer-Assisted Instruction
Humans
Injections
Models, Biological
Needles
Teaching
Ultrasonography, Interventional
User-Computer Interface
Planned Date
Start Date
Collaborators
Principal Investigators
Alternative Titles
Publisher
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).
Language
en
ISSN
0926-9630
eISSN
ISBN
DOI
PMID
21335809