Designing AI Assisted Experiences for Preventive Healthcare
Designed a consumer diagnostic experience helping users discover relevant tests, understand reports, and track long-term health patterns using contextual AI.
The Challenge & Insights
Diagnostic apps often swamp users with overwhelming catalogs and dense worksheets, prompting anxiety rather than guidance. We designed a calm, profile-aware assistant to guide patient understanding rather than automate medical decisions.
Core friction points:
- Context: Pinpointing relevant tests within dense listings.
- Interpretation: Deciphering complex numbers prior to doctor visits.
- Trust: Navigating promotional upsells instead of clinical advice.
Design Goal
Position AI as a thoughtful guide rather than automation—building confidence, agency, and clarity in personal health journeys.
Key Experiences
We structured the AI assistance into two focused touchpoints that prioritize clarity, guidance, and emotional support.
01 / Choosing the Right Tests: A symptom-aware recommendation layer that suggests contextually relevant packages with clear physiological rationale.
02 / Understandable Reports: A redesigned Diagnostics Summary leading with a calm natural-language status card, followed by multi-quarter trends.
AI design principles applied:
Clinical & consumer metrics
Reflection
In healthcare, the most effective AI intervention is the one that reduces noise, not the one that adds features. By reframing the assistant from an "intelligent agent" to a "contextual guide," we built consumer agency rather than dependence—ensuring patients leave the experience informed and confident rather than anxious.