Remote Monitoring for Heart Failure
Proactive voice AI that monitors heart failure patients daily, detects warning signs early, and reduces costly readmissions through consistent engagement.
Voice Scenarios
How iClinic AI Helps
Daily Weight Checks
Automated morning calls to collect weight measurements. iClinic AI detects concerning trends and alerts care teams before symptoms escalate.
Diuretic Adherence
Gentle reminders for medication compliance with smart follow-ups. Track adherence patterns and intervene early on non-compliance.
Symptom Triage (Shortness of Breath)
Intelligent symptom assessment using clinical protocols. Escalates to care team when SOB severity increases beyond baseline.
Clinical Value
Reducing 30-Day Readmissions
Heart failure readmissions cost the US healthcare system over $17 billion annually. iClinic AI aims to help break this cycle through consistent patient engagement and early intervention.
Early Warning Detection
Weight gain of 2+ lbs in 24 hours or 5+ lbs in a week triggers immediate care team notification, preventing emergency admissions.
45%
Expected Reduction in 30-Day Readmissions
3.2x
Projected Faster Symptom Detection
89%
Target Patient Engagement Rate
Expected Results
Projected Emergency Hospitalizations
Based on pilot study projections