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Using Eye-Tracking to Understand how Clinicians Use Electronic Health Records 

We use eye-tracking approaches to analyze how physicians and nurses interact with health information technology. We are able to see what information they pay attention to, and ignore, as they make clinical decisions or complete processes. These findings can be used to guide the redesign of electronic health record systems and related technologies.

 
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Developing Eye-Tracker Analysis Measures for Healthcare

We use eye-tracking data to measure and quantitatively model and visualize how individuals complete healthcare processes. We have developed quantitative measures and visualization approaches to model these data. Through this work, we have been able to show that certain visual scanning patterns can lead to better patent care outcomes. We have also designed visual scanning training based on findings from the eye-tracking data. 

 
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Designing and Implementing Consumer Health Informatics Interventions

We conduct research aimed at improving the design and use of consumer health information technologies. We use mixed methods, including interviews with and observations of end users. We have found a wide variety of factors that affect consumers’ interactions with health information technologies, including the usability of devices and software, how well the technologies and associated interventions fit into their daily workflows, and the extent to which the technologies and interventions increase their cognitive abilities.