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Product Sketch

Smart Eyewear for Continuous Ocular Biometric Monitoring in TED

Generated design exploration based on the panel's verification.

Primary User Patients with active TED requiring close monitoring, Patients on new TED therapies requiring efficacy tracking, Specialist clinicians (ophthalmologists, neuro-ophthalmologists)
Success Outcome Highly objective and continuous tracking of disease progression/regression • Early detection of subtle changes missed by episodic exams • Real-time assessment of treatment response • Personalized alerts for patients and clinicians • Deeper understanding of the diurnal variation and triggers of TED symptoms
Workflow Moment Addressing challenges like: Miniaturization of sensors without compromising accuracy • Battery life and user comfort for continuous wear • Calibration and validation against gold-standard clinical measurements • Data overload for clinicians and effective visualization of trends • User acceptance and aesthetic considerations of smart eyewear
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Welcome to TED Eye Insights
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Device: Mobile Portrait
This onboarding screen introduces the patient to the Smart Eyewear system, explains its purpose, and sets expectations regarding continuous monitoring and data privacy. It's designed to build trust and encourage initial setup.

Welcome to TED Eye Insights

Your Partner in Managing Thyroid Eye Disease

How it Works

  • Your smart eyewear continuously monitors key ocular biometrics relevant to TED, such as proptosis, lid retraction, and eye movement patterns.
  • Miniaturized sensors capture data throughout your day, providing a comprehensive picture of your eye health.

What You Gain

  • Objective, continuous tracking of disease progression or regression.
  • Early detection of subtle changes often missed by episodic exams.
  • Personalized insights for you and your care team.
  • Deeper understanding of how TED affects you day-to-day.

Your Privacy Matters

  • All data is securely encrypted and transmitted.
  • Your information is shared only with your authorized clinicians to support your treatment plan.

primary action

Connect My Eyewear

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My Ocular Health Dashboard
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Device: Mobile Portrait
This core dashboard provides patients and clinicians with an immediate, at-a-glance overview of key ocular biometrics from the smart eyewear. It highlights current status, recent trends, and flags any significant changes, making complex data actionable.

My Ocular Health Dashboard

Last Updated: Today, 3:15 PM

Key Metrics Overview (Last 24 Hours)

  • Proptosis (Right/Left): 22.1mm / 21.8mm (Stable)
  • Lid Retraction (Right/Left): 3.2mm / 2.9mm (Stable)
  • Ocular Motility: Full Range of Motion (Normal)
  • Pupillary Response: Normal Symmetry

Trend at a Glance (Last 7 Days)

  • Proptosis: Stable, minor diurnal fluctuation (Avg: 22.0mm)
  • Lid Retraction: Slight average increase in left eye (+0.1mm)
  • Eye Movement Speed: Consistent

Alerts & Observations

  • No urgent alerts.
  • Observation: Slight increase in ocular surface dryness reported in evenings (correlates with minor blink rate changes).

primary action

View Detailed Trends

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Log Daily Symptoms

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Progress & Clinician Insights
value_insight_handoff SCREEN
Device: Mobile Portrait
This screen summarizes long-term progress, provides AI-driven insights, and facilitates secure sharing of comprehensive reports with clinicians. It transforms raw data into meaningful clinical value, empowering both patients and their care teams.

My Progress & Clinician Insights

Comprehensive Summary for the past 30 days

Overall Assessment

  • Your ocular health has remained largely stable over the last month.
  • Treatment appears to be effectively managing acute symptoms with no significant worsening trends.

Key Biometric Trends

  • Proptosis: Average stable at 22.0mm. Peaks observed in late afternoon (avg. 22.3mm) were within expected diurnal range.
  • Lid Retraction: Slight average increase in left eye (+0.2mm overall). Suggests monitoring for potential progression in this eye.
  • Ocular Motility: Consistent and within normal limits across all gaze directions, indicating stable muscle function.

AI-Driven Observations

  • Identified a pattern of increased ocular surface irregularity (micro-cameras) correlating with prolonged screen time, potentially contributing to reported dryness.
  • No significant changes in pupillary responses were detected.

Share with Your Doctor

  • Generate a secure, detailed report for your ophthalmologist that includes all biometric data, trends, and AI-driven observations. This ensures your clinician has the most complete picture for your next visit.

primary action

Generate Clinician Report

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