Who HeartLink Is For
Baseline-relative stability insight for teams managing heart failure over time—without alert fatigue
HeartLink is designed for clinical teams responsible for longitudinal heart failure oversight, where understanding meaningful change over time matters more than reacting to isolated data points.
The platform supports review-driven workflows,, preserves clinical judgement, and reduces unnecessary noise—so teams can focus attention where it is truly needed
Who HeartLink Supports
Clear alignment for teams responsible for longitudinal heart failure care
Outpatient Cardiology Clinics
Maintain visibility into patient stability trends between scheduled visits
Identify which patients warrant review before next clinic appointment
Distinguish expected variability from meaningful change
Support consistent patient engagement outside the clinic
Improve visit efficiency with longitudinal symptom context
Heart Failure Programs
View panel-level stability distribution across four clinical bands
Identify patients with sustained or emerging deviation patterns
Monitor engagement and adherence trends program-wide
Standardize review workflows across multidisciplinary staff
Support structured quality and performance discussions
Home Health Agencies
Maintain symptom stability visibility across the active census
Identify patients with sustained baseline-relative change
Support nurse-led review without alert-driven escalation
Create consistency in follow-up documentation and handoffs
Enable quality conversations without raw data interpretation
Ideal Fit
HeartLink is a strong fit for teams that:
Manage heart failure patients longitudinally (weeks to months)
Want a calm, review-driven workflow—not constant alerts
Support brief, consistent daily or near-daily patient check-ins
Prefer basleine-relative interpretation over static thresholds
Value engagement and trend context alongside current patient status
Not a Fit (By Design)
HeartLink is intentionally not designed for teams that require:
Emergency response alerting or on-call escalation
Automated diagnoses or treatment recommendations
Static single-metric threshold alerting (e.g., weight-only alerts without longitudinal context
ICU-level monitoring or real-time telemetry
Workflows that cannot support consistent patient participation