VR-based training and assessment in ultrasound-guided regional anesthesia: from error analysis to system design.
dc.contributor.author | Lövquist, Erik | |
dc.contributor.author | O'Sullivan, Owen | |
dc.contributor.author | Oh'Ainle, Donnchadh | |
dc.contributor.author | Baitson, Graham | |
dc.contributor.author | Shorten, George | |
dc.contributor.author | Avis, Nick | |
dc.date.accessioned | 2011-12-22T16:13:47Z | |
dc.date.available | 2011-12-22T16:13:47Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | VR-based training and assessment in ultrasound-guided regional anesthesia: from error analysis to system design. 2011, 163:304-10 Stud Health Technol Inform | en |
dc.identifier.issn | 0926-9630 | |
dc.identifier.pmid | 21335809 | |
dc.identifier.uri | http://hdl.handle.net/10147/198757 | |
dc.description | 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). | en |
dc.description.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). | |
dc.language.iso | en | en |
dc.subject.mesh | Anesthesia, Conduction | |
dc.subject.mesh | Anesthesiology | |
dc.subject.mesh | Anesthetics | |
dc.subject.mesh | Computer Simulation | |
dc.subject.mesh | Computer-Assisted Instruction | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Injections | |
dc.subject.mesh | Models, Biological | |
dc.subject.mesh | Needles | |
dc.subject.mesh | Teaching | |
dc.subject.mesh | Ultrasonography, Interventional | |
dc.subject.mesh | User-Computer Interface | |
dc.title | VR-based training and assessment in ultrasound-guided regional anesthesia: from error analysis to system design. | en |
dc.type | Article | en |
dc.contributor.department | National Digital Research Centre, Ireland. eriklovquist@gmail.com | en |
dc.identifier.journal | Studies in health technology and informatics | en |
dc.description.province | Munster | |
html.description.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). |