Clinical simulation and training
Eye tracking for Healthcare research and innovathon

Clinical simulation and training

Eye tracking helps healthcare simulation teams understand how learners direct their attention, recognize critical cues, and respond during realistic scenarios. Use gaze insights to strengthen debriefing, compare experience levels, and support clinical skills development. 

Understand learner attention

Instructors and trainers can observe actions, communication, and outcomes. It is harder to know which information a learner viewed before making a decision or which cues went unnoticed. 
 
Wearable eye tracking captures the learner’s visual perspective during the scenario. Gaze video and attention data give facilitators additional evidence for debriefing, feedback, and performance review.

 Understand learner attention

Benefits

Benefits

Where eye tracking adds value 

Eye tracking can support a wide range of training applications by revealing how learners observe, prioritize, and respond during realistic tasks.

  • Simulation debriefing

    Review the scenario from the learner’s perspective and use gaze video to support focused reflection and feedback.

  • Expert–learner comparison

    Compare how experienced clinicians and learners visually approach the same task, procedure or decision point.

  • High-pressure and emergency scenarios 

    Examine how learners allocate attention when conditions change quickly, and multiple cues compete for attention. 

  • Procedural skills training

    Study attention to anatomy, instruments, monitors, imaging and procedural steps during hands-on practice.

  • Team-based simulation

    Explore how participants distribute attention among the patient, teammates, equipment, and the wider clinical environment.

  • Clinical reasoning

    Identify the visual cues learners viewed before forming an assessment, prioritizing care or taking action.

Compare methods

Compare

See beyond traditional training observation

Traditional simulation methods capture observable performance. Eye tracking adds evidence about the visual behavior that occurred before and during an action. 

Traditional simulation training

  • Actions and outcomes 

    Documents task completion, delays and errors.

  • Communication and teamwork 

    Observes discussions and coordination. 

  • Performance assessment 

    Evaluate skills against defined criteria.

  • Facilitator observation

    Captures visible behaviors during the scenario.

  • Learner reflection

    Reveals reasoning and perceived challenges.

Eye tracking reveals

  • Attention to critical cues

    Shows what learners actually notice.

  • Attention distribution 

    Reveals how learners divide attention across the scenario.

  • Visual search behavior

    Shows where learners look and how they search for the information.

  • Sequence of attention

    Identifies which elements were viewed first and what followed. 

  • Experience-level comparisons

    Highlights differences between experienced clinicians and learners.

Use case

Use case spotlight

Improving drug inspection training

Daiichi Sankyo Propharma used wearable eye tracking to improve visual inspection training for injectable drugs. By comparing how skilled and novice inspectors performed the same inspection tasks, the team could identify visual strategies that were difficult to explain through observation alone. 
The gaze data helped reveal expert inspection patterns, areas of visual strain and opportunities to improve training routines. The insights helped reduce inspector training time from one year to six months. 

Improving drug inspection training

Features

Features

From scenario design to skills development 

Eye tracking can support different parts of simulation-based training, clinical education, and procedure-based skills development.  

  • Scenario design 

    Evaluate whether the intended cues, equipment and environmental demands are visible and realistic.

  • Scenario participation 

    Capture visual attention during clinical tasks, procedures, and high-pressure events. 

  • Debriefing 

    Use gaze video and attention data to examine what the learner saw, missed or prioritized.

  • Expert modeling 

    Show how experienced clinicians visually approach the same scenario, task or decision point. 

  • Skills assessment and improvement 

    Compare attention patterns across experience levels and use the insights to improve training routines, coaching and proficiency development.  

  • Simulation research

    Collect objective attention data to study clinical reasoning, workload, team performance and expertise development.

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Our products

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