Eye-tracking as a method for understanding clinicians interactions with health information technology

April 11, 2016
12:00PM
1:00PM
EDT
Fee: 
Free for AMIA members; $50 for non-members
Presenters: 
Jenna Marquard, PhD - Associate Professor of Industrial Engineering, University of Massachusetts Amherst

There are numerous approaches to understanding how clinicians interact with health information technology (IT), including interviews, observations, surveys, or screen capture software. Eye-tracking technology, used for decades in fields ranging from driver behavior to marketing, holds substantial promise as a method for understanding what information clinicians search for and use within health IT.

This webinar will discuss the potential benefits and limitations of using eye-tracking to evaluate clinicians' interactions with health IT.  It will provide a brief overview of the technology and how data are collected and analyzed. It will then provide a broad overview of several research studies that have used eye-tracking to study clinicians' use of health IT.

Learning Objectives

After participating in this activity, the learner should be better able to:

• Identify the purpose and scope of using eye-tracking for data collection and analysis in studies of health IT
• Assess the relevance of eye-tracking to specific studies of clinician interaction with health IT

Speaker Information

Dr. Jenna Marquard, PhD
Associate Professor of Industrial Engineering
University of Massachusetts Amherst  

Jenna Marquard (https://mie.umass.edu/faculty/jenna-marquard) is an associate professor of Industrial Engineering at the University of Massachusetts Amherst.  Her research is supported by the National Science Foundation, National Institutes of Health, and the Agency for Healthcare Research and Quality. Her current research uses methods from the engineering psychology, visualization, and computer science fields to understand healthcare clinicians’ and consumers’ information search and decision-making patterns. By doing so, we can design technologies that improve healthcare outcomes by helping patients and clinicians make better and more efficient decisions.