Literature DB >> 26455897

The use and limits of eye-tracking in high-fidelity clinical scenarios: A pilot study.

Mark Browning1, Simon Cooper2, Robyn Cant2, Louise Sparkes2, Fiona Bogossian3, Brett Williams4, Peter O'Meara5, Linda Ross4, Graham Munro5, Barbara Black3.   

Abstract

AIM: To explore the potential of mobile eye-tracking to identify healthcare students' area of visual interest and its relationship to performance ratings.
BACKGROUND: Eye-tracking identifies an individual's visual attention focus, and has been used as a training technique in medicine and in nursing. In this study participants wore a point of view (PoV) camera within a spectacle frame during simulation education experiences.
METHODS: Thirty-nine final year nursing and paramedicine students individually participated in three 8 minute clinical simulations with debriefing using videoed eye-tracking recordings. Coloured dots on the video depicted the participant's pupil fixation on five targeted areas. Data extracted from the video camera were collated to report time spent on each target (their 'gaze').
RESULTS: The mean total gaze of expert designated targets in the environment for three 8 minute scenarios was 40-77%. Of 35 participants' focus on three main areas of interest, their priority was the patient's head (34%), the patient's trunk (24%) and their clinical assistant (5%), with significant differences between nursing and paramedic disciplines (P < 0.05). Objectively rated clinical performance improved significantly by the third scenario (P ≤ 0.001). Participants were positive regarding use of eye tracking during debriefing.
CONCLUSIONS: Eye tracking has the potential to enhance debriefing and educational outcomes, although there are limitations to gaze capture in high fidelity environments and resource cost is high. Further study is warranted to enable better understanding of how expert clinicians achieve high levels of performance.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clinical; Debriefing; Education; Eye-tracking; Gaze; Point of view (PoV); Simulation

Mesh:

Year:  2015        PMID: 26455897     DOI: 10.1016/j.ienj.2015.08.002

Source DB:  PubMed          Journal:  Int Emerg Nurs        ISSN: 1878-013X            Impact factor:   2.142


  3 in total

1.  Visual attention patterns of team leaders during delivery room resuscitation.

Authors:  Danielle D Weinberg; Haley Newman; Claire E Fishman; Trixie A Katz; Vinay Nadkarni; Heidi M Herrick; Elizabeth E Foglia
Journal:  Resuscitation       Date:  2019-12-20       Impact factor: 5.262

2.  Usability Study of the User-Interface of Intensive Care Ventilators Based on User Test and Eye-Tracking Signals.

Authors:  Mingyin Jiang; Shenglin Liu; Qingmin Feng; Jiaqi Gao; Qiang Zhang
Journal:  Med Sci Monit       Date:  2018-09-20

3.  Comparing the Visual Perception According to the Performance Using the Eye-Tracking Technology in High-Fidelity Simulation Settings.

Authors:  Issam Tanoubi; Mathieu Tourangeau; Komi Sodoké; Roger Perron; Pierre Drolet; Marie-Ève Bélanger; Judy Morris; Caroline Ranger; Marie-Rose Paradis; Arnaud Robitaille; Mihai Georgescu
Journal:  Behav Sci (Basel)       Date:  2021-03-05
  3 in total

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