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Understand interaction and performance
Study what users, clinicians, patients or trainees notice, miss and prioritize when interacting with medical devices, software, workflows, healthcare environments and training scenarios.
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Understand visual attention, eye movements, and pupil response across medical devices, software, workflows, training environments, and healthcare research.
Eye tracking provides objective data that helps researchers, engineers, human factors specialists and clinical educators study behavior, evaluate attention-related challenges and improve products, systems, research and training.
Across pharmaceutical, biotechnology and medical technology applications, eye tracking helps teams make visual behavior measurable.
In some projects, the goal is to understand what people notice, miss, and prioritize when interacting with devices, software, workflows, training scenarios, or healthcare environments. In others, gaze, eye movement, and pupil data are used to investigate cognition, neurological function, physiological response, or clinical research questions.
By adding objective data to research, usability studies, training scenarios and interface evaluations, eye tracking can help teams uncover insights that observation, performance data or self-reported feedback may miss.
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Eye tracking supports healthcare research and innovation in two ways: by revealing how people interact with healthcare technologies and environments, and by enabling controlled studies of the eye itself.
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Study what users, clinicians, patients or trainees notice, miss and prioritize when interacting with medical devices, software, workflows, healthcare environments and training scenarios.
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Use eye tracking to collect objective data in research involving pupillometry, oculomotor behavior, cognition, neuroscience, vision science, pharmaceutical research, clinical studies and medical imaging.
Different teams use eye tracking in different ways depending on their goals. Explore the focus area that best matches your work.
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Understand how intended users visually interact with medical devices, interfaces, warnings, alarms, labeling, instructions and healthcare environments. Identify information that is missed, noticed too late, or difficult to locate.
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Analyze what learners and experienced practitioners notice, prioritize, and overlook during realistic clinical scenarios. Use gaze data to support debriefing, skills development and expert–novice comparisons.
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Use eye tracking in medical and life sciences research to study gaze, eye movements, pupil response, cognition, behavior and interaction.
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Evaluate how users visually navigate medical software, dashboards, apps, decision-support systems and connected interfaces.
Pharmaceutical, biotechnology and medical technology organizations use eye tracking at different stages — from scientific and clinical research through concept development, usability evaluation, training and implementation.
Research & discovery
Study gaze, eye movements, pupil response, and cognition, across medical and life sciences research.
Product development
Evaluate how users interact with devices, software, displays, and workflows.
Usability & human factors
Reveal attention-related risks and support better design decisions.
Training and implementation
Use gaze data to support debriefing, skills development and performance improvement.
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Dr. Karen K. Giuliano leads an interdisciplinary nursing and engineering research team conducting groundbreaking work that combines clinical experience with wearable eye tracking to improve the safety and usability of IV smart pumps.
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Daiichi Sankyo Propharma leverages eye tracking in its DX strategy, transforming pharmaceutical visual inspections.
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Karolinska Institute explored the possibility of using eye tracking as a prospective diagnostic tool for Parkinson’s disease, and their quest yielded exciting results.
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A pharmaceutical company worked with Tobii Insight to conduct an eye tracking study on one of their packaging lines.
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A study from Japan, by N. Takahashi, had individuals with Parkinson's view images and recorded eye movements and brain activity to analyze the results.
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Researchers from the National University of Colombia (UNAL) analyzed eye movement in seven patients with Alzheimer's disease.
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Tobii offers eye tracking solutions for different study environments — from realistic simulations and physical workflows to screen-based research and remote studies.
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Tell us about your users, research questions, and study environment. Our team can help identify the most appropriate eye tracking methodology and solutions.
Learn how eye tracking helps teams study attention, behavior and performance across devices, digital interfaces, laboratory environments, clinical settings, and training scenarios.