Head Motion Analysis as an Objective Measure of Point-of-Care Ultrasound Procedural Guidance Competency
| dc.contributor.author | Walsh, Carrie | |
| dc.contributor.author | Harari, Rayan Ebnali | |
| dc.contributor.author | Dias, Roger | |
| dc.contributor.author | Duggan, Nicole M. | |
| dc.contributor.author | Cash, Rebecca E. | |
| dc.contributor.author | Lee, David | |
| dc.contributor.author | Borges, Paulo | |
| dc.contributor.author | Plevek, Phillip | |
| dc.contributor.author | Walsh, Lindsay V. | |
| dc.contributor.author | Driver, Lachlan | |
| dc.contributor.author | Fischetti, Chanel | |
| dc.contributor.author | Goldsmith, Andrew | |
| dc.date.accessioned | 2024-12-26T21:07:30Z | |
| dc.date.available | 2024-12-26T21:07:30Z | |
| dc.date.issued | 2025-01-07 | |
| dc.description.abstract | Background:. 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.extent | 9 | |
| dc.identifier.doi | https://doi.org/10.24251/HICSS.2025.450 | |
| dc.identifier.isbn | 978-0-9981331-8-8 | |
| dc.identifier.other | 3bd95ad6-4229-45b2-887e-82e9cabf6ce0 | |
| dc.identifier.uri | https://hdl.handle.net/10125/109294 | |
| dc.relation.ispartof | Proceedings of the 58th Hawaii International Conference on System Sciences | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Technology, Machine Learning, and Bias in Emergency Care | |
| dc.subject | analgesia, education, fellowship, head motion, keywords: objective competency, nerve blocks, osce, pain management., point-of-care-ultrasound, residency | |
| dc.title | Head Motion Analysis as an Objective Measure of Point-of-Care Ultrasound Procedural Guidance Competency | |
| dc.type | Conference Paper | |
| dc.type.dcmi | Text | |
| prism.startingpage | 3748 |
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