Aura Health
Alex's Proactive Journey: Preventing a Diagnosis
π± Persona
Alex (24 years old)
"I feel fine."
But in reality:
- Often fatigued
- Irregular sleep patterns
- Inconsistent eating habits
Underneath:
- Early metabolic instability
- Mild insulin resistance
The key idea is that Alex does not perceive himself as a "patient."
β‘ Trigger
A Small Signal Appears:
- Wearable data shows poor sleep
- A routine health screening shows slightly elevated glucose
- Work performance begins to decline
β "Something feels off"
Aura's Proactive Journey
π Step 1: Early Signal Detection (Aura)
Aura integrates:
- Behavioral data
- Sleep
- Screening data
β Detects: "Early metabolic drift"
π‘ Step 2: Insight β Action
Aura provides:
- Meal timing adjustments
- Sleep recommendations
- Clear, actionable next steps
β Focus on Actionability
π° Step 3: Cost Awareness
Aura introduces:
- "If ignored β increased risk of metabolic disease"
- "Estimated future cost: $X"
β Connecting health outcomes with financial impact
πΌ Step 4: Orchestration (Key Differentiator)
Aura connects:
- Providers (only when needed)
- Employers (productivity & cost)
- Payers (preventing high-cost claims)
- Continuous data layer
β A user-centered orchestration layer across stakeholders
π Step 5: Frictionless Care Access
- Care is accessed only when necessary
- No unnecessary visits
- Reduced reliance on PBMs
π Step 6: Continuous Prevention Loop
- Continuous tracking
- Risk prediction
- Long-term prevention