Head Motion Analysis is an Objective Measure of Point-of-Care Ultrasound Image Acquisition Competency
dc.contributor.author | Walsh, Carrie | |
dc.contributor.author | Duggan, Nicole M. | |
dc.contributor.author | Dias, Roger | |
dc.contributor.author | Goldsmith, Andrew | |
dc.contributor.author | Ebnali, Mahdi | |
dc.contributor.author | Schwid, Madeline | |
dc.contributor.author | Fischetti, Chanel | |
dc.contributor.author | Driver, Lachlan | |
dc.contributor.author | Stegeman, Joseph | |
dc.contributor.author | Bernier, Denie | |
dc.contributor.author | Selame , Lauren | |
dc.contributor.author | Plevek, Phillip | |
dc.date.accessioned | 2023-12-26T18:42:27Z | |
dc.date.available | 2023-12-26T18:42:27Z | |
dc.date.issued | 2024-01-03 | |
dc.identifier.doi | 10.24251/HICSS.2024.473 | |
dc.identifier.isbn | 978-0-9981331-7-1 | |
dc.identifier.other | 1cadcf18-a766-49c4-9099-b122f2d96462 | |
dc.identifier.uri | https://hdl.handle.net/10125/106856 | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings of the 57th 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 | education | |
dc.subject | fellowship | |
dc.subject | head motion | |
dc.subject | objective competency | |
dc.subject | osce | |
dc.subject | point-of-care-ultrasound | |
dc.subject | residency | |
dc.title | Head Motion Analysis is an Objective Measure of Point-of-Care Ultrasound Image Acquisition Competency | |
dc.type | Conference Paper | |
dc.type.dcmi | Text | |
dcterms.abstract | Background: POCUS education and competency milestones are required for emergency medicine residency graduation. Currently, POCUS competency is assessed using OSCEs. This approach is non-standardized, subjective, and resource intensive. In this pilot study we determine the ability of head motion analysis to differentiate between novice-and-expert-level POCUS performance. Methods: Fifteen emergency medicine physicians, eight novice POCUS users and nine experts, performed cardiac and FAST exams. Head motion was tracked using Muse2-headband with accelerometer and gyroscope sensors. Fellowship-trained experts observed all exams and independently recorded OSCE scores. Results: Experts scored higher in OSCEs than novices in both examinations (p<0.00001). Experts demonstrated less head motion distribution in the X,Y and Z-directions, with significant differences (p<0.001) between expert and novice groups. Conclusions: Head-motion metrics can differentiate novice-and expert-level ultrasonographers, which could offer objective competency assessments for new POCUS learners. Additional studies are needed to identify minimum threshold values for defining competency based on these metrics. | |
dcterms.extent | 6 pages | |
prism.startingpage | 3909 |
Files
Original bundle
1 - 1 of 1