Proactive Health Synergy identifies early risk patterns weeks before they become emergencies. Integrated with medical devices & smartwatches to shift healthcare from reaction to prevention.
Measurements from certified medical devices (iHealth) or smartwatches (Apple Watch, Garmin) sync automatically via Bluetooth/API.
The PHS Engine processes data against the patient's personal history, filtering noise and normalizing trends.
AI models detect risk patterns like sustained increases or loss of dipping, calculating a dynamic cardiovascular risk score.
Actionable alerts are pushed to the iPacienti dashboard, allowing clinicians to intervene exactly when needed.
Continuous measurement flow from consumer wearables to medical-grade dashboards.
Continuous capture of PPG, HRV, and SpO2 sensor data via HealthKit.
Gateway receiving data via CoreBluetooth & background processing.
Semantic reasoning, stream processing, and AI trend detection.
Real-time iPacienti visualization with prioritized alerts.
Our clinician-oriented dashboard presents enriched data, semantic status labels, and composite alerts that support timely clinical decision-making.
Monitor patient populations across geography. Map-based visualization allows clinicians to see where cardiac events are escalating in real-time.
Identify clusters of high-risk patients and coordinate home-care or emergency response more effectively through our integrated map monitoring tool.
Sudden loss of night-time dipping detected (Primary Driver).
Rising systolic trend over last 7 days.
Physiological parameters within normal range.
Our system continuously analyzes physiological rhythms, identifying clinical patterns that episodic measurements often miss:
Episodic measurements are not enough. Hypertension and heart failure often progress without obvious symptoms until it's too late.
Moving beyond isolated readings to personalized, data-driven prevention.
PHS doesn't just use static WHO thresholds. It builds a unique physiological signature for every patient, identifying risks based on deviations from their own normal.
A critical clinical indicator. PHS identifies the "Non-Dipping" pattern—when blood pressure fails to drop during sleep—a major predictor of stroke and cardiac events.
A composite score updated in real-time. We combine BP trends, heart rate variability, and resting heart rate to provide clinicians with a prioritized alert system.
PHS now integrates with major smartwatch platforms to capture 24/7 cardiovascular data. No more gaps between clinic visits.
High-impact prevention for every clinical practice.
Software is free for all iPacienti users.
25+ professionals dedicated to proactive healthcare management.
If you have any questions, suggestions, or would like to reach out to us, don't hesitate to contact us using the details below.