Continuous visibility into your chronic disease population
RPMLyra monitors glucose, blood pressure, and weight across every enrolled patient — detecting the early multi-signal patterns that lead to preventable readmissions in diabetic, hypertensive, and heart failure populations.
The three conditions driving the most preventable readmissions
Type 2 Diabetes
Glucose trend + HbA1c proxyFasting glucose, post-prandial patterns, and overnight hypoglycemia detected in real time. 30-day rolling glucose average used as HbA1c trend proxy for between-lab visibility.
Hypertension
BP patterns + adherence proxyTwice-daily BP readings detect sustained elevation and morning surge patterns. Reading adherence tracked as a medication compliance proxy — missed readings automatically flagged.
Heart Failure
Weight gain as fluid signalDaily morning weight readings detect the 2–4 lb overnight gain that precedes decompensated heart failure by 3–5 days. Early outreach prevents the ED visit.
From home device to care team alert
Patient Measures at Home
Patient takes glucose, BP, or weight measurement with their paired Bluetooth device. Reading transmits automatically via RPMLyra patient app — no manual entry.
Lyra Engine Scores the Pattern
Each new reading is scored against prior trend, configured thresholds, and multi-signal composite. Risk score updates in real time. Alerts generated only when pattern confirms.
Care Team Acts Early
Care coordinator sees prioritized alert in Lyra dashboard. Outreach made 48 hours before clinical deterioration reaches emergency level. Outreach documented for CPT billing.
What early detection is designed to achieve
RPMLyra is designed toward measurable chronic disease management outcomes. These are clinical targets — your program results will vary based on patient population and care team engagement.
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HbA1c
control rateImproved HbA1c control target in enrolled diabetic patients with active glucose monitoring and care team response to alerts.
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BP
control targetTarget improvement in hypertension control rate through continuous monitoring and medication adherence proxy tracking.
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48h
early detectionTarget early detection of fluid retention in heart failure patients — enabling intervention before decompensation requires ED care.
All patient data in RPMLyra is handled with encryption at rest and in transit, role-based access, and audit logging appropriate for clinical environments.
Security details →