Using Eye-Tracking Technology to Capture the Visual Attention of Nurses During Interpretation of Patient Monitoring Scenarios from a Computer Simulated Bedside Monitor

Jonathan Currie, Raymond R Bond, P. J. McCullagh, Pauline Black, Dewar Finlay, Aaron Peace

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Abstract

Introduction:This study analysed the utility of eye tracking technology for gaining insight into the decision making processes of nurses during their interpretation of patient scenarios and vital signs.Methods:Five patient monitoring scenarios (vignette, vital signs [ECG, BP etc.] and scoring criteria) were designed and validated by critical care experts. Participants were asked to interpret these scenarios whilst ‘thinking aloud’. Visual attention was measured using infrared light- based eye-tracking technology. Each interpretation was scored out of 10. Subjects comprised of students (n=36) and qualified nurses (n=11). Scores and self-rated confidence (where 1=low, 10=high) are presented using mean±SD. Significance testing was performed using a t-test and ANOVA where appropriate (α = 0.05). Multivariate regression was performed to determine if a machine could use eye gaze features to accurately predict competency (dependent variable=score). Independent eye gaze only variables were used in the regression models if they statistically significantly (p
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherInstitute of Sound and Communications Engineers
Number of pages1
Publication statusPublished - 13 Apr 2016
EventInternational Society for Computerized Electrocardiology - Arizona
Duration: 13 Apr 2016 → …

Conference

ConferenceInternational Society for Computerized Electrocardiology
Period13/04/16 → …

Keywords

  • Eye tracking
  • healthcare training
  • simulation based training
  • competency
  • patient safety
  • clinical decision making
  • bedside monitoring
  • vital signs

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