Back to Search Start Over

Comparing the effectiveness of augmented reality-based and conventional instructions during single ECMO cannulation training

Authors :
Julian Wolf
Quentin Lohmeyer
Maximilian Halbe
Viviane Wolfer
Mirko Meboldt
Francesco Maisano
Source :
International Journal of Computer Assisted Radiology and Surgery, International Journal of Computer Assisted Radiology and Surgery, 16 (6)
Publication Year :
2021

Abstract

Purpose Effective training of extracorporeal membrane oxygenation (ECMO) cannulation is key to fighting the persistently high mortality rate of ECMO interventions. Though augmented reality (AR) is a promising technology for improving information display, only a small percentage of AR projects have addressed training procedures. The present study investigates the potential benefits of AR-based, contextual instructions for ECMO cannulation training as compared to instructions used during conventional training at a university hospital. Methodology An AR step-by-step guide was developed for the Microsoft HoloLens 2 that combines text, images, and videos from the conventional training program with simple 3D models. A study was conducted with 21 medical students performing two surgical procedures on a simulator. Participants were divided into two groups, with one group using the conventional instructions for the first procedure and AR instructions for the second and the other group using instructions in reverse order. Training times, a detailed error protocol, and a standardized user experience questionnaire (UEQ) were evaluated. Results AR-based execution was associated with slightly higher training times and with significantly fewer errors for the more complex second procedure (p<br />International Journal of Computer Assisted Radiology and Surgery, 16 (6)<br />ISSN:1861-6410<br />ISSN:1861-6429

Details

ISSN :
18616429 and 18616410
Volume :
16
Issue :
7
Database :
OpenAIRE
Journal :
International journal of computer assisted radiology and surgery
Accession number :
edsair.doi.dedup.....cb751196bce981f16522927b3a4db104