Head Motion Analysis as an Objective Measure of Point-of-Care Ultrasound Procedural Guidance Competency

dc.contributor.authorWalsh, Carrie
dc.contributor.authorHarari, Rayan Ebnali
dc.contributor.authorDias, Roger
dc.contributor.authorDuggan, Nicole M.
dc.contributor.authorCash, Rebecca E.
dc.contributor.authorLee, David
dc.contributor.authorBorges, Paulo
dc.contributor.authorPlevek, Phillip
dc.contributor.authorWalsh, Lindsay V.
dc.contributor.authorDriver, Lachlan
dc.contributor.authorFischetti, Chanel
dc.contributor.authorGoldsmith, Andrew
dc.date.accessioned2024-12-26T21:07:30Z
dc.date.available2024-12-26T21:07:30Z
dc.date.issued2025-01-07
dc.description.abstractBackground:. Currently, there is no standardization in ED-based-Ultrasound-guided-nerve-blocks (UGNB) training, credentialing, or procedural quality assurance nation-wide. This study aims to investigate objective measures of procedural competency for UGNB. Methods: Novice and expert users performed UGNB in a simulation-based setting. Participants were fitted with a head-motion tracking headband and their performance graded with a traditional OSCE. Head motion metrics were captured using both accelerometer and gyroscope sensors. Results: 11 novices and 7 experts were recruited. OSCE scores demonstrated a statistically significant difference between groups. Significant correlations were observed for accelerometer data in the z-axis and gyroscope data in the y-and z-axes, with positive correlation between accelerometer z-axis RMS values and OSCE scores(r=0.36), and gyroscope z-axis RMS values and OSCE scores(r=0.29). Conclusion: Objective measures of head motion in the z-axis demonstrated significant differences between novice and expert POCUS. Our data suggests that computer-based metrics may be reliable measures of procedural competency.
dc.format.extent9
dc.identifier.doihttps://doi.org/10.24251/HICSS.2025.450
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other3bd95ad6-4229-45b2-887e-82e9cabf6ce0
dc.identifier.urihttps://hdl.handle.net/10125/109294
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTechnology, Machine Learning, and Bias in Emergency Care
dc.subjectanalgesia, education, fellowship, head motion, keywords: objective competency, nerve blocks, osce, pain management., point-of-care-ultrasound, residency
dc.titleHead Motion Analysis as an Objective Measure of Point-of-Care Ultrasound Procedural Guidance Competency
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage3748

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