HealTrack: Simplifying Post-Surgery Recovery Tracking
ROLE
AI Product Designer
SERVICE
Application Design
INDUSTRY
Healthcare
STATUS
In Progress
🚀 Quick summary
Tracking recovery after surgery is crucial, yet many patients struggle to do so. Between post-surgery fatigue, accessibility barriers, and a lack of motivation, logging recovery progress often gets neglected. HealTrack is designed to change that. By offering a simple and accessible way to track daily recovery, it helps patients stay engaged and informed about their healing process.
THE PROBLEM
💡Why Patients Struggle with Recovery Tracking?
🔹 Patients struggle with tracking recovery due to:
Physical and cognitive fatigue after surgery
Complex or inaccessible digital tracking tools
Lack of motivation and unclear benefits of consistent logging
🔹 The impact of non-compliance:
Patients with <80% adherence have 2x higher complication rates (41.2% vs. 20.4%)
Increased hospital readmissions and prolonged recovery time
THE SOLUTION
✅ One-Tap AI-Powered Logging
HealTrack removes tracking barriers with:
✔ One-Tap Logging – Quick, intuitive symptom tracking
✔ AI-Powered Voice Input – Hands-free logging for accessibility
✔ Simplified Interface – Designed for patients with limited mobility or tech proficiency
How it solves the problem:
✔ Removes complexity → Tap or speak, no manual input required
✔ Increases accessibility → Adapts to different patient needs
✔ Encourages adherence → Reduces friction in daily tracking
EVALUATION
🔄 Learnings & Next Steps
Next Steps:
✔ Refine Voice Logger UI to reduce misclick rate
✔ Implement Hybrid Logging (voice generates tags + tap confirms edits)
✔ Add Gamification (streaks, milestones) to improve consistency
✔ Test alternative UI methods for logging based on best practices
Key Learnings
User Journey Mapping uncovered critical points where tracking fails and how to improve engagement.
Accessibility is a must in healthcare UX – providing multiple input methods ensures broader adoption.
AI needs to enhance usability, not complicate it – voice input should suggest structured symptom tags for faster logging.
Behavioral tradeoff in UX: Patients value both speed and expressiveness, requiring a hybrid solution.
