Identifying visual search patterns in eye gaze data; gaining insights into physician visual workflow.
- 2016
Available online through MWHC library: 2003 - present, Available in print through MWHC library: 1999 - present
Copyright (C) The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com. IMPORTANCE AND OBJECTIVES: As health information technologies become more prevalent in physician workflow, it is increasingly important to understand how physicians are using and interacting with these systems. This includes understanding how physicians search for information presented through health information technology systems. Eye tracking technologies provide a useful technique to understand how physicians visually search for information. However, analyzing eye tracking data can be challenging and is often done by measuring summative metrics, such as total time looking at a specific area and first-order transitions. METHODS: In this paper, we propose an algorithmic approach to identify different visual search patterns. We demonstrate this approach by identifying common visual search patterns from physicians using a simulated prototype emergency department patient tracking system. RESULTS AND CONCLUSIONS: We evaluate and compare the visual search pattern results to first-order transition results. We discuss the benefits and limitations of this approach and insights from this initial evaluation.
English
1067-5027
*Algorithms *Electronic Health Records *Eye Movements *Physicians *User-Computer Interface *Workflow Hospital Information Systems Humans Models, Theoretical Task Performance and Analysis