Bioinspired robotic exoskeleton for endotracheal intubation

Hernandez-Hinojosa, Ernesto; Nawn, Corinne D.; Abbott, Carlyn; Astorga, Daniel; Jain, Priya; Restrepo, David; Hood, R. Lyle

doi:10.1016/j.jmrt.2020.08.071

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…Such results conclude that in a simulation environment, intubation success among novice trainees was greatly improved utilizing AR-assisted laryngoscopy. A similar conclusion was derived from Hamza-Lup et al [10].…”

Section: Technical Skillssupporting

confidence: 87%

“…Tracheal intubation is a di cult skill to learn and teach to novice learners. The most common reason for a failed intubation is the inability to visualize the vocal cords during laryngoscopy, and this can be improved by using better techniques and having more experience [10]. One way to learn this is by using AR-assisted laryngoscopy, especially in populations of providers with limited opportunities for endotracheal intubations.…”

Section: Technical Skillsmentioning

confidence: 99%

See 1 more Smart Citation

Time to Intubate Utilizing Traditional Learning Versus Airway App with Augmented Reality

Gutierrez,

Skelton,

Smiley-Naughton

2024

Preprint

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Background: Endotracheal intubation is a fundamental skill for anesthesia providers and any healthcare provider tasked with securing the airway. Despite the clinical significance, this skill continues to be a challenging procedure for novice Student Registered Nurse Anesthetists (SRNAs) to master. Current training modalities fail to account for the dynamic changes experienced in live patients. The purpose of this project is to evaluate whether Augmented Reality (AR) airway applications reduce the time to endotracheal intubation in novice learners. Methods: Research methods include searching databases, such as PubMed, Web of Science, and CINAHL, and narrowing results with keywords, inclusion, and exclusion criteria. The study design used in this research project can be classified as an evidence-based intervention or quality improvement initiative. The population of this study included first-year Student Registered Nurse Anesthetists (SRNA) and Emory University. The researchers analyzed time to intubation before and after augmented reality (AR) interactive education on the Airway Ex app. Results: The median time Pre-AR was 14.22 seconds and Post-AR was 13.55 seconds. The Wilcoxon Signed Ranked Test with a two-tailed significance value of 0.394 indicates that these results are not statistically significant. The surveys demonstrated improved confidence in DL skills post AR, better understanding of patient airway anatomy, enhanced learning experience, and most participants reported ease of use of AR as an education modality. Conclusions:This study highlights the potential of utilizing AR in the training of novice SRNAs. There is a need for additional research with a larger sample size to establish statistical significance and further evaluate this novel training modality.

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Section: Technical Skillssupporting

confidence: 87%

Section: Technical Skillsmentioning

confidence: 99%