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

Hdl Handle:
http://hdl.handle.net/10147/198757
Title:
VR-based training and assessment in ultrasound-guided regional anesthesia: from error analysis to system design.
Authors:
Lövquist, Erik; O'Sullivan, Owen; Oh'Ainle, Donnchadh; Baitson, Graham; Shorten, George; Avis, Nick
Affiliation:
National Digital Research Centre, Ireland. eriklovquist@gmail.com
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
Journal:
Studies in health technology and informatics
Issue Date:
2011
URI:
http://hdl.handle.net/10147/198757
PubMed ID:
21335809
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:
Article
Language:
en
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).
MeSH:
Anesthesia, Conduction; Anesthesiology; Anesthetics; Computer Simulation; Computer-Assisted Instruction; Humans; Injections; Models, Biological; Needles; Teaching; Ultrasonography, Interventional; User-Computer Interface
ISSN:
0926-9630

Full metadata record

DC FieldValue Language
dc.contributor.authorLövquist, Eriken
dc.contributor.authorO'Sullivan, Owenen
dc.contributor.authorOh'Ainle, Donnchadhen
dc.contributor.authorBaitson, Grahamen
dc.contributor.authorShorten, Georgeen
dc.contributor.authorAvis, Nicken
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-

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