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Identifying visual search patterns in eye gaze data; gaining insights into physician visual workflow.

MedStar author(s):

Citation: Journal of the American Medical Informatics Association. 23(6):1180-1184, 2016 NovPMID: 27107446Institution: MedStar Institute for InnovationForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: *Algorithms | *Electronic Health Records | *Eye Movements | *Physicians | *User-Computer Interface | *Workflow | Hospital Information Systems | Humans | Models, Theoretical | Task Performance and AnalysisYear: 2016 Local holdings: Available online through MWHC library: 2003 - present, Available in print through MWHC library: 1999 - presentISSN:

1067-5027

Name of journal: Journal of the American Medical Informatics Association : JAMIAAbstract: 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: [email protected] 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.All authors: Bisantz AM, Fairbanks RJ, Fong A, Hoffman DJ, Zachary Hettinger AFiscal year: FY2017Digital Object Identifier:

https://dx.doi.org/10.1093/jamia/ocv196

Date added to catalog: 2017-05-24

Holdings ( 1 )
Title notes ( 6 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Journal Article	MedStar Authors Catalog	Article	27107446	Available		27107446

Available online through MWHC library: 2003 - present, Available in print through MWHC library: 1999 - present

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