Literature DB >> 29172823

Eye-tracking technology in medical education: A systematic review.

Hajra Ashraf1, Mikael H Sodergren1, Nabeel Merali2, George Mylonas1, Harsimrat Singh1, Ara Darzi1.   

Abstract

BACKGROUND: Eye-tracking technology is an established research tool within allied industries such as advertising, psychology and aerospace. This review aims to consolidate literature describing the evidence for use of eye-tracking as an adjunct to traditional teaching methods in medical education.
METHODS: A systematic literature review was conducted in line with STORIES guidelines. A search of EMBASE, OVID MEDLINE, PsycINFO, TRIP database, and Science Direct was conducted until January 2017. Studies describing the use of eye-tracking in the training, assessment, and feedback of clinicians were included in the review.
RESULTS: Thirty-three studies were included in the final qualitative synthesis. Three studies were based on the use of gaze training, three studies on the changes in gaze behavior during the learning curve, 17 studies on clinical assessment and six studies focused on the use of eye-tracking methodology as a feedback tool. The studies demonstrated feasibility and validity in the use of eye-tracking as a training and assessment method.
CONCLUSIONS: Overall, eye-tracking methodology has contributed significantly to the training, assessment, and feedback practices used in the clinical setting. The technology provides reliable quantitative data, which can be interpreted to give an indication of clinical skill, provide training solutions and aid in feedback and reflection. This review provides a detailed summary of evidence relating to eye-tracking methodology and its uses as a training method, changes in visual gaze behavior during the learning curve, eye-tracking methodology for proficiency assessment and its uses as a feedback tool.

Mesh:

Year:  2017        PMID: 29172823     DOI: 10.1080/0142159X.2017.1391373

Source DB:  PubMed          Journal:  Med Teach        ISSN: 0142-159X            Impact factor:   3.650


  16 in total

1.  Looks can be deceiving: Gaze pattern differences between novices and experts during placement of central lines.

Authors:  Hong-En Chen; Cheyenne C Sonntag; David F Pepley; Rohan S Prabhu; David C Han; Jason Z Moore; Scarlett R Miller
Journal:  Am J Surg       Date:  2018-11-13       Impact factor: 2.565

2.  Integrated eye tracking on Magic Leap One during augmented reality medical simulation: a technical report.

Authors:  Thomas J Caruso; Olivia Hess; Kenny Roy; Ellen Wang; Samuel Rodriguez; Coby Palivathukal; Nick Haber
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2021-02-24

3.  Age norms for grating acuity and contrast sensitivity in children using eye tracking technology.

Authors:  E Esteban-Ibañez; T Pérez-Roche; E Prieto; O Castillo; A Fanlo-Zarazaga; A Alejandre; D Gutierrez; M Ortin; V Pueyo
Journal:  Int Ophthalmol       Date:  2021-10-07       Impact factor: 2.031

Review 4.  Normal blindness: when we Look But Fail To See.

Authors:  Jeremy M Wolfe; Anna Kosovicheva; Benjamin Wolfe
Journal:  Trends Cogn Sci       Date:  2022-07-21       Impact factor: 24.482

5.  Scene-dependent, feedforward eye gaze metrics can differentiate technical skill levels of trainees in laparoscopic surgery.

Authors:  Chaitanya S Kulkarni; Shiyu Deng; Tianzi Wang; Jacob Hartman-Kenzler; Laura E Barnes; Sarah Henrickson Parker; Shawn D Safford; Nathan Lau
Journal:  Surg Endosc       Date:  2022-09-19       Impact factor: 3.453

6.  Exploring Eye-tracking Technology as an Assessment Tool for Point-of-care Ultrasound Training.

Authors:  Wei Feng Lee; Jordan Chenkin
Journal:  AEM Educ Train       Date:  2020-09-01

7.  Utilizing head-mounted eye trackers to analyze patterns and decision-making strategies of 3D virtual modelling platform (IRIS) during preoperative planning for renal cancer surgeries.

Authors:  Rachel Melnyk; Yuxin Chen; Tyler Holler; Nathan Schuler; Patrick Saba; Scott Quarrier; Jonathan Bloom; William Tabayoyong; Thomas Frye; Hani Rashid; Jean Joseph; Ahmed Ghazi
Journal:  World J Urol       Date:  2022-01-23       Impact factor: 4.226

8.  Eye Tracking Supported Human Factors Testing Improving Patient Training.

Authors:  Kerrin Elisabeth Weiss; Christoph Hoermandinger; Marcus Mueller; Marianne Schmid Daners; Evgenij V Potapov; Volkmar Falk; Mirko Meboldt; Quentin Lohmeyer
Journal:  J Med Syst       Date:  2021-03-25       Impact factor: 4.460

9.  ABCDE approach to victims by lifeguards: How do they manage a critical patient? A cross sectional simulation study.

Authors:  Felipe Fernández-Méndez; Martín Otero-Agra; Cristian Abelairas-Gómez; Nieves María Sáez-Gallego; Antonio Rodríguez-Núñez; Roberto Barcala-Furelos
Journal:  PLoS One       Date:  2019-04-30       Impact factor: 3.240

Review 10.  Utilising an Accelerated Delphi Process to Develop Guidance and Protocols for Telepresence Applications in Remote Robotic Surgery Training.

Authors:  Justin W Collins; Ahmed Ghazi; Danail Stoyanov; Andrew Hung; Mark Coleman; Tom Cecil; Anders Ericsson; Mehran Anvari; Yulun Wang; Yanick Beaulieu; Nadine Haram; Ashwin Sridhar; Jacques Marescaux; Michele Diana; Hani J Marcus; Jeffrey Levy; Prokar Dasgupta; Dimitrios Stefanidis; Martin Martino; Richard Feins; Vipul Patel; Mark Slack; Richard M Satava; John D Kelly
Journal:  Eur Urol Open Sci       Date:  2020-11-06
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