Remote Patient Monitoring software tracks real-time vital signs, alerts patients and doctors of abnormalities, supports chronic disease management, monitors treatment compliance, and integrates with telemedicine and EHR systems for seamless care.
AI analyzes real-time data from wearable devices (e.g., heart rate, glucose levels, oxygen saturation) to detect early signs of deterioration.
Patient data is automatically shared with healthcare providers for continuous care.
AI filters and ranks alerts by severity and urgency. Sends alerts to both patients and doctors if readings fall outside normal parameters.
For patients with conditions like diabetes, heart failure, AI-supported RPM tools offer continuous tracking, predictive analytics, and self-management insights.
Tracks whether patients are following prescribed treatments and medication regimens.
AI integrates RPM data with telemedicine platforms, EHRs, and decision support systems. Offers virtual consultations to discuss RPM results with healthcare providers.
Data Logging & Trends: Records historical data to identify patterns and support clinical decisions.
Alert System: Sends immediate notifications when readings cross critical thresholds.
Continuous Health Tracking: Monitors key vitals like heart rate, blood pressure, and temperature in real time.
Progress Reports: Generates insights on patient behavior to support follow-up and care adjustments.
Automated Reminders: Sends alerts for medication intake, appointments, and health routines.
Automated Reminders: Sends alerts for medication intake, appointments, and health routines.
AI analyzes historical and real-time patient data to assign risk scores, helping providers prioritize care for high-risk patients.
AI sends personalized reminders, educational content, and motivational messages to encourage adherence to health plans.
Combines data from multiple sources (wearables, home devices, patient-reported outcomes) for comprehensive health monitoring.
AI detects critical conditions early and can automatically notify emergency services or care teams to intervene promptly.
AI tracks long-term patient data trends to identify gradual changes in health status and recommend timely interventions.
Allows providers to tailor alert thresholds and notification preferences based on individual patient needs.