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

E Lövquist; O O'Sullivan; D Oh'Ainle; G Baitson; G Shorten; N Avis

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

E Lövquist
, O O'Sullivan
, D Oh'Ainle
, G Baitson
, G Shorten
, N Avis

School of Medicine

Research output: Contribution to journal › Article › peer-review

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).

Original language	English
Pages (from-to)	304-10
Number of pages	7
Journal	Studies in Health Technology and Informatics
Volume	163
Publication status	Published - 1 Jan 2011

Keywords

Anesthesia, Conduction instrumentation
Anesthetics administration & dosage
Computer Simulation
Humans
Injections instrumentation
Models, Biological
Teaching methods
Anesthesia, Conduction methods
Anesthesiology education
Computer-Assisted Instruction methods
Injections methods
Needles
Ultrasonography, Interventional methods
User-Computer Interface

Cite this

@article{a746d8b9b42346a282bcb8f15679dd98,

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

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).",

keywords = "Anesthesia, Conduction instrumentation, Anesthetics administration \& dosage, Computer Simulation, Humans, Injections instrumentation, Models, Biological, Teaching methods, Anesthesia, Conduction methods, Anesthesiology education, Computer-Assisted Instruction methods, Injections methods, Needles, Ultrasonography, Interventional methods, User-Computer Interface",

author = "E L{\"o}vquist and O O'Sullivan and D Oh'Ainle and G Baitson and G Shorten and N Avis",

year = "2011",

month = jan,

day = "1",

language = "English",

volume = "163",

pages = "304--10",

journal = "Studies in Health Technology and Informatics",

issn = "0926-9630",

publisher = "IOS Press BV",

}

TY - JOUR

T1 - VR-based training and assessment in ultrasound-guided regional anesthesia

T2 - from error analysis to system design.

AU - Lövquist, E

AU - O'Sullivan, O

AU - Oh'Ainle, D

AU - Baitson, G

AU - Shorten, G

AU - Avis, N

PY - 2011/1/1

Y1 - 2011/1/1

N2 - 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).

AB - 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).

KW - Anesthesia, Conduction instrumentation

KW - Anesthetics administration & dosage

KW - Computer Simulation

KW - Humans

KW - Injections instrumentation

KW - Models, Biological

KW - Teaching methods

KW - Anesthesia, Conduction methods

KW - Anesthesiology education

KW - Computer-Assisted Instruction methods

KW - Injections methods

KW - Needles

KW - Ultrasonography, Interventional methods

KW - User-Computer Interface

M3 - Article

C2 - 21335809

SN - 0926-9630

VL - 163

SP - 304

EP - 310

JO - Studies in Health Technology and Informatics

JF - Studies in Health Technology and Informatics

ER -

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

Abstract

Keywords

Fingerprint

Cite this