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How Ziva works

From first reading
to clinical action.

Ziva turns a stream of raw patient data into clear clinical intelligence - automatically, continuously, and without adding to your team's workload.

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1
Patient enrolled by clinic
Automatic
2
Devices connect & sync
Real-time
3
Isabella AI analyzes all signals
Continuous
4
Alerts & priorities surface
Prioritized
5
Care team acts & documents
Clinical
6
Billing codes submitted
Automated
Step 01

Patient enrollment
takes two minutes.

Your care coordinator imports a patient into the Ziva dashboard directly from your EHR. Insurance eligibility is verified automatically - and if confirmed, the patient receives a consent invite by text or email. Once they accept, they're enrolled and ready to download the app.

Import patient into Ziva dashboard from your EHR in under 2 minutes
Patient receives SMS/email invite - no login complexity
Care plan, treatment protocol, and monitoring thresholds pre-loaded
Bulk enrollment available for existing patient panels
Enrollment flow
Import patient into Ziva dashboard
Pull from Epic, athenahealth, Cerner, eClinicalWorks, Allscripts
30 sec
↓
Insurance eligibility verified
Ziva checks coverage automatically before invite is sent
Auto
↓
Patient receives consent invite
SMS or email - patient consents to RPM/CCM services in one tap
Instant
↓
Patient enrolled - ready to download the app
Care plan loaded, monitoring begins
Live
Step 02

Every signal.
Always flowing.

Ziva captures data from every source - wearables, RPM devices, the app, labs, and the EHR - and unifies it into a single patient record that updates in real time.

RPM Devices
Clinic-issued devices ship directly to the patient. Pair automatically on first use.
BP cuff Scale Glucometer Pulse ox
Wearables
Continuous HRV, sleep, activity, heart rate - from devices patients already own.
Apple Watch Fitbit Garmin Oura
Labs & clinical data
Blood panels, HbA1c, lipids, eGFR - pulled from EHR or uploaded as PDF.
EHR pull PDF upload HL7 / FHIR
Patient-reported
Symptoms, medications, adherence, nutrition, and quality of life - captured through the app.
Symptom logs Adherence Nutrition
Step 03

Isabella AI processes
every signal, always.

Most monitoring tools show you data. Isabella reads across all of it - BP, glucose, weight, labs, sleep, activity, medications, and symptoms - and connects what a busy care team can't see in a 15-minute appointment.

Pattern detection
Cross-signal correlations invisible to single-metric tools
Trend analysis
Watching for meaningful directional shifts over days and weeks
Risk stratification
Continuously updated patient risk scores across your full panel
Adherence monitoring
Flags gaps in readings, medications, and care plan compliance
Isabella AI — Clinical intelligence
Updated continuously · 847 patients monitored
Today's priority patients
Maria S. · 67 · CHF Act now
14-day BP escalation. Weight +3.1 lbs in 5 days. Pattern consistent with fluid retention — recommend outreach today.
James K. · 44 · T2DM Watch
Glucose trending up 3 consecutive weeks. Weight +4.9 lbs. Adherence dropped to 68% — consider medication review.
Richard T. · 58 · HTN On track
BP within target range for 18 days. Excellent adherence. No action needed.
Isabella surfaces 3–5 priority patients daily. The rest of your panel is stable.
Step 04

Care teams act
with full context.

When Isabella flags a patient, your care team sees the complete picture - not just the alert, but the trend that caused it, the patient's history, and a recommended action. Every outreach is documented automatically.

Smart outreach tools
Automated reminders, SMS, phone call scheduling, and follow-up workflows - all from one place.
AI-generated clinical notes
Isabella drafts visit summaries and progress notes pre-populated with patient data. Your clinician reviews and signs.
Real-time escalation
Critical alerts route directly to the right clinician - with full context, not just a number out of range.
Recommended action · Maria S.
✦ Isabella's recommendation

Weight up 3.1 lbs in 5 days with concurrent BP elevation. Pattern matches previous fluid retention episode in March. Recommend phone outreach today to assess symptoms and review diuretic compliance before next visit.

Suggested action Phone outreach today
Documentation Draft note ready
Billing code CPT 99457 — RPM
Step 05 — 06

EHR sync & billing.
Both automated.

Ziva generates detailed, ready-to-submit billing documentation - time logs, encounter records, and CPT code summaries - so your billing team can file claims accurately and efficiently. No manual tracking, no missed encounters.

$180
avg monthly revenue
per enrolled patient
90%
less time on billing
documentation
100%
audit-ready
encounter records
5+
reimbursement
programs supported
EHR Integration
Epic athenahealth Cerner eClinicalWorks Allscripts FHIR / HL7
Billing programs automated
RPM — Remote Patient Monitoring CPT 99453–99458
CCM — Chronic Care Management CPT 99490–99491
RTM — Remote Therapeutic Monitoring CPT 98975–98977
PCM — Principal Care Management CPT 99424–99427
Ready to see it live

See Ziva in your
clinical workflow.

Book a 30-minute demo and we'll walk through how Ziva would work with your specific EHR, patient panel, and care team setup.

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