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Comparing the effectiveness of augmented reality-based and conventional instructions during single ECMO cannulation training
- 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
- Subjects :
- 030213 general clinical medicine
medicine.medical_specialty
Students, Medical
User study
Computer science
Biomedical Engineering
Psychological intervention
Health Informatics
Health informatics
Session (web analytics)
Task (project management)
Catheterization
03 medical and health sciences
0302 clinical medicine
Extracorporeal Membrane Oxygenation
User experience design
medicine
Humans
Radiology, Nuclear Medicine and imaging
Medical physics
Mixed reality
Protocol (science)
Augmented Reality
Education, Medical
business.industry
User guidance
Medical training
General Medicine
Computer Graphics and Computer-Aided Design
Computer Science Applications
030228 respiratory system
Surgery
Augmented reality
Original Article
Computer Vision and Pattern Recognition
Clinical Competence
business
Computer-Assisted Instruction
Subjects
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