Motion-Tracking Machines and Sensors: Advancing Education Technology.


Journal

Journal of cardiothoracic and vascular anesthesia
ISSN: 1532-8422
Titre abrégé: J Cardiothorac Vasc Anesth
Pays: United States
ID NLM: 9110208

Informations de publication

Date de publication:
01 2022
Historique:
received: 17 05 2021
revised: 09 07 2021
accepted: 19 07 2021
pubmed: 24 9 2021
medline: 1 2 2022
entrez: 23 9 2021
Statut: ppublish

Résumé

Graduate medical education is predominantly based on a time-based apprenticeship model, with implied acquisition of proficiency after a pre-set amount of clinical exposure. While motion metrics have been used previously to measure skill performance indicators, these assessments have largely been performed on a summative scale to describe the performance of complete tasks or procedures. By segmenting performances of interest and assessing the essential elements individually, a more comprehensive understanding of the aspects in need of improvement for a learner can be obtained. The purpose of this review is to discuss technologies applicable to motion tracking, their benefits and limitations, approaches to data processing, and potential applications based on recent improvements in this technology. Objective analysis of motion metrics may improve educational standards of learning and efficiency by both standardizing the feedback process for trainees and reducing the volume of instructors required to facilitate practice sessions. With rigorous validation and standardization, motion metric assessment may also prove useful to demonstrate competency in technical procedures as part of a comprehensive certification process.

Identifiants

pubmed: 34551885
pii: S1053-0770(21)00617-0
doi: 10.1053/j.jvca.2021.07.036
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

303-308

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Vincent Baribeau (V)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA.

Jeffrey Weinstein (J)

Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA.

Vanessa T Wong (VT)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA.

Aidan Sharkey (A)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA.

Derek N Lodico (DN)

Navy Trauma Training Center, Los Angeles County and University of California, Los Angeles, CA.

Robina Matyal (R)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA.

Feroze Mahmood (F)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA.

John D Mitchell (JD)

Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA. Electronic address: jdmitche@bidmc.harvard.edu.

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Classifications MeSH