Phase 1 Deployment

Asthma Care –
Real Use Case

See how our Clinical Reasoning Engine prevents ER visits by predicting exacerbations 72 hours early — with specific solutions, not generic alerts.

The Problem

Asthma/COPD Care is Reactive, Fragmented, Expensive

Current care models wait for crises instead of preventing them.

Current State

  • 📊
    4,000+
    Asthma deaths annually in the US
  • 📊
    1.6M
    ER visits for asthma each year
  • 📊
    $50B+
    Annual cost of asthma care
  • 📊
    65%
    Of ER visits are preventable with early intervention

⚠️Key Challenges

  • Inhaler misuse goes undetected until ER visit
  • Clinicians overwhelmed with alert fatigue
  • Environmental triggers not monitored
  • Symptom patterns missed between visits
  • No early warning system for exacerbations
AI Reasoning Example

Not Alerts — Solutions with Clinical Justification

See how our reasoning engine analyzes multiple signals to deliver specific interventions.

📥Input Signals (Multi-Source)

Voice AIDay -3
Nasal resonance drops 15%
Environmental APIDay -3
Ragweed pollen: 52 grains/m³ (3x threshold)
Peak FlowDay -2
88% predicted (down from 94%)
EHR HistoryHistorical
3 previous exacerbations (Jan, Sep, Apr)
Medication AdherenceDay -2
Nasal spray: 78% (below 90% target)

🧠AI Reasoning Process

1Pattern Recognition
Matches March episode pattern (89% confidence)
2Cause Determination
Pollen trigger + medication gap = exacerbation risk
3Risk Stratification
89% ER probability without intervention
4Solution Generation
Start nasal steroid + avoid outdoors + increase adherence
5Clinical Justification
Pattern matches 3 previous episodes. Pollen 3x threshold.

📤Output: Specific Solution (Not Alert)

RECOMMENDATION
Start nasal corticosteroid today. Avoid outdoor activities. Increase nasal spray adherence to 90%+.
CLINICAL REASONING
Pattern matches your March episode (89% confidence). Ragweed pollen is 3x your trigger threshold (52 vs 17). Nasal congestion detected via voice analysis. Peak flow trending down. 89% ER probability without intervention.
Risk Level
High
Time to Crisis
72 hours
Confidence
89%
Sample Patient Journey

Sarah M., 54 — United Airway Disease

Real timeline showing how early intervention prevents ER visits.

Day -3 (72h before)

detected
🗣️voice
detected

Nasal resonance drops 15%

🌍environment
detected

Ragweed pollen: 52 (3x threshold)

action
delivered

System recommends: Start nasal steroid today

Day -2 (48h before)

trending
📊peakflow
trending

Peak flow: 88% (down from 94%)

🗣️voice
detected

Nasal congestion worsening

action
delivered

Escalated: Avoid outdoor activities, increase nasal spray

Day -1 (24h before)

critical
📊peakflow
critical

Peak flow: 82%

😴sleep
detected

Mouth breathing detected

action
escalated

Provider notified: Consider oral steroid burst

Day 0 (Crisis prevented)

active
💊intervention
active

Oral steroids started

outcome
success

ER visit prevented. Patient stable.

Key Insight

Instead of waiting for Sarah to wheeze (too late), our system detected nasal congestion via voice analysis, cross-referenced it with ragweed pollen data (3x her threshold), and delivered a specific solution: "Start nasal steroid today — pattern matches your March episode."

Result: ER visit prevented. $3,800 saved. Patient stable.

Provider Dashboard

Sample Provider Dashboard View

Zero alert fatigue. Doctors see patients categorized by urgency with full context and reasoning.

Patient Status Overview

3
Critical
Requires immediate attention
12
Attention
Needs review within 24h
185
Stable
No action needed

Sarah M., 54 — UAD Cascade

Nasal patency 35%, ragweed 3x threshold

Critical
Recommendation

Consider oral steroid burst. 89% ER probability without intervention.

Reasoning: Pattern matches her 3 previous exacerbations (Jan '24, Sep '23, Apr '23)
Peak Flow
82% (down from 94%)
Pollen Level
52 (3x threshold)
Time to Crisis
24-48 hours

What Providers See

  • • Critical → Attention → Stable categorization
  • • Full clinical reasoning for each recommendation
  • • Pattern matching to historical episodes
  • • Risk probability with time-to-crisis estimates
  • • One-click actions (prescribe, call patient, etc.)

What Providers DON'T See

  • • 500 unread alerts
  • • "SpO2 is 92%" without context
  • • Generic reminders
  • • Data dumps without solutions
  • • Alert fatigue

Ready to Prevent ER Visits?

See how Ardia's Clinical Reasoning Engine can transform your asthma/COPD care with early intervention.