How It Works
Four steps. Each one builds on the last.
01
Continuous physiological sensing
Merina passively collects physiological data throughout the day using wearable or bedside sensors.
Signals may include:
- Heart rate
- Heart rate variability
- Respiratory rate
- Temperature
- Motion and activity patterns
No manual symptom entry is required. Data collection is continuous and automatic.
02
AI-driven pattern detection
Merina's AI analyzes:
- Trend shifts
- Adherence gaps
- Symptom clustering
- Rate-of-change signals
The AI flags deviations from an individual's baseline — often before symptoms are consciously recognized.
03
Clinical summary
Before the appointment, the doctor receives:
- Symptom trend graph
- Medication adherence rate
- Flagged changes
- Structured symptom timeline
This replaces fragmented, memory-based history.
04
Early intervention
If patterns indicate deterioration:
Merina alerts the patient and clinician early. Intervention happens before crisis.