RPMLyra streams glucose, blood pressure, and weight readings from home devices into one clinical dashboard — flagging deterioration patterns before the patient calls your nurse line.
After discharge, your highest-risk chronic disease patients disappear into an information void. Glucose spikes, blood pressure climbs, weight gains three pounds in two days — and your care team won't know until the patient calls the nurse line, or worse, presents in the ED.
Traditional care management means waiting for check-in calls, relying on patient self-report, and reacting after deterioration is already advanced. The result: preventable readmissions that cost your health system $15,000–$25,000 per event and erode quality scores.
See How We Close the GapFrom the first glucose reading to the billing summary report, RPMLyra unifies your chronic care management workflow.
Continuous data streams from Bluetooth glucose meters, BP cuffs, and connected smart scales — no manual entry, no delayed batch uploads. Readings arrive within seconds of patient measurement.
Multi-signal pattern scoring that weights glucose trends, BP variability, and weight gain together — computing a 30-day readmission risk score and triggering care team alerts before clinical thresholds are breached.
Monitoring minutes automatically tracked per patient per month. CPT codes 99453, 99454, 99457, and 99458 populated and ready for your billing team — zero manual documentation.
Patients pair Bluetooth glucose meters, BP cuffs, and smart scales at home via the RPMLyra patient app. No IT infrastructure required on the patient side.
Your care team sees real-time vital feeds, alert triggers, and 30-day readmission risk scores — stratified by condition and severity — in one unified view.
Intervene before deterioration escalates. CPT codes are generated automatically from documented monitoring minutes. Your billing team receives ready-to-submit reports.
RPMLyra is calibrated to the three chronic conditions responsible for the majority of preventable readmissions in US health systems.
Continuous glucose monitoring detects post-prandial spikes and overnight hypoglycemia patterns. Alert thresholds customizable by physician. HbA1c trajectory modeled from 30-day average readings.
Twice-daily BP readings detect systolic elevation trends that precede hypertensive crises. Medication adherence proxied by reading consistency. Morning hypertension patterns flagged automatically.
Daily weight readings detect the 2–3 lb overnight gain that signals early fluid retention — a reliable early indicator of decompensating heart failure. Alert before the next scheduled appointment.
RPMLyra helps your care team document the monitoring minutes that map directly to CMS CPT reimbursement codes — making your RPM program financially self-sustaining.
RPMLyra is built on open healthcare interoperability standards — connecting to your existing clinical infrastructure without proprietary lock-in.
Standards-based interoperability. Works with any health system supporting SMART on FHIR.
Evidence-informed guides on remote monitoring program design, CPT billing, and clinical threshold calibration.
What each code requires, how to document monitoring minutes, and what health systems can realistically expect to bill per enrolled patient.
Multi-signal vital patterns contain early readmission signals — often 48 to 72 hours before the patient calls the nurse line.
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