Show simple item record

dc.contributor.authorLövquist, Erik
dc.contributor.authorO'Sullivan, Owen
dc.contributor.authorOh'Ainle, Donnchadh
dc.contributor.authorBaitson, Graham
dc.contributor.authorShorten, George
dc.contributor.authorAvis, Nick
dc.date.accessioned2011-12-22T16:13:47Z
dc.date.available2011-12-22T16:13:47Z
dc.date.issued2011
dc.identifier.citationVR-based training and assessment in ultrasound-guided regional anesthesia: from error analysis to system design. 2011, 163:304-10 Stud Health Technol Informen
dc.identifier.issn0926-9630
dc.identifier.pmid21335809
dc.identifier.urihttp://hdl.handle.net/10147/198757
dc.descriptionIf 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.abstractIf 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.isoenen
dc.subject.meshAnesthesia, Conduction
dc.subject.meshAnesthesiology
dc.subject.meshAnesthetics
dc.subject.meshComputer Simulation
dc.subject.meshComputer-Assisted Instruction
dc.subject.meshHumans
dc.subject.meshInjections
dc.subject.meshModels, Biological
dc.subject.meshNeedles
dc.subject.meshTeaching
dc.subject.meshUltrasonography, Interventional
dc.subject.meshUser-Computer Interface
dc.titleVR-based training and assessment in ultrasound-guided regional anesthesia: from error analysis to system design.en
dc.typeArticleen
dc.contributor.departmentNational Digital Research Centre, Ireland. eriklovquist@gmail.comen
dc.identifier.journalStudies in health technology and informaticsen
dc.description.provinceMunster
html.description.abstractIf 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).


This item appears in the following Collection(s)

Show simple item record