Feasibility of utilizing a commercial eye tracker to assess electronic health record use during patient simulation

Jeffrey Allen Gold, Laurel E. Stephenson, Adriel Gorsuch, Keshav Parthasarathy, Vishnu Mohan

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Numerous reports describe unintended consequences of electronic health record implementation. Having previously described physicians' failures to recognize patient safety issues within our electronic health record simulation environment, we now report on our use of eye and screen-tracking technology to understand factors associated with poor error recognition during an intensive care unit-based electronic health record simulation. We linked performance on the simulation to standard eye and screen-tracking readouts including number of fixations, saccades, mouse clicks and screens visited. In addition, we developed an overall Composite Eye Tracking score which measured when, where and how often each safety item was viewed. For 39 participants, the Composite Eye Tracking score correlated with performance on the simulation (p = 0.004). Overall, the improved performance was associated with a pattern of rapid scanning of data manifested by increased number of screens visited (p = 0.001), mouse clicks (p = 0.03) and saccades (p = 0.004). Eye tracking can be successfully integrated into electronic health record-based simulation and provides a surrogate measure of cognitive decision making and electronic health record usability.

Original languageEnglish (US)
Pages (from-to)744-757
Number of pages14
JournalHealth Informatics Journal
Volume22
Issue number3
DOIs
StatePublished - Sep 1 2016

Bibliographical note

Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was supported by grants from the Agency for Healthcare Research and Quality R18HS021637 and the Donaghue Foundation.

Publisher Copyright:
© The Author(s) 2015.

Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.

Keywords

  • IT healthcare evaluation
  • clinical decision making
  • electronic health records
  • healthcare professional training
  • healthcare service innovation and IT

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