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ZIVA CONTINUOUS CARE PLATFORM

From every signal
To the right action

Ziva brings clinical, device and everyday health data together - turning continuous signals into meaningful insights, clear priorities and actions across the care journey.

A nurse reviewing patient data on a tablet
ILLUSTRATIVE LIVE PATIENT INTELLIGENCE
See how connected health signals come together to reveal meaningful change over time.
R
Rebecca, 71* — Heart failure program
5 devices connected · syncing now
Live
✦
Isabella · Ziva AI
*Stories are inspired by real patient experiences and health patterns observed in care. Names, images, quotes, and certain details have been changed or combined to protect privacy. Individual experiences and outcomes may vary.
What this means

Continuous care that acts
before the crisis.

72h
Earlier detection vs symptom-driven escalation
4×
More early interventions vs episodic care models
31%
Reduction in acute care escalations
91%
ER avoidance rate across heart failure program
The full care journey

One platform.
Every step connected.

From onboarding and continuous intelligence to patient engagement, EHR integration and billing - Ziva brings the entire care journey together.

01
Device delivery
Order, fulfill, track RPM devices
02
Onboarding
Setup, consent, app activation
03
Continuous care
Insights, trends, pattern detection
04
Clinical prioritization
Changes · priorities · escalation
05
Follow-ups
Automated outreach, check-ins
06
Compliance
CPT tracking, documentation
07
Engagement
SMS, in-app, education
08
EHR sync
Notes, vitals written back
09
Billing & reporting
RPM · CCM · RTM · outcomes
From data to action

Too much data.
Not enough clarity.

Sleep Heart rate Blood pressure Labs Activity Nutrition Stress Symptoms Wearables Vitals
Zivafinds what matters
Identify
Patients who need attention
Prioritize
The changes that matter
Intervene
Before risk escalates
Too much data
One clear understanding
Simple actions
Isabella AI · Clinical intelligence

A 14-day BP trend.
The story behind the numbers.

One high BP reading may mean little. But rising BP alongside worsening sleep, declining HRV and reduced activity tells a different story. Isabella connects these changes over time - helping your team recognize when a pattern deserves attention.

The 14-day pattern Isabella detected
→Sleep declining steadily: 7h → 5.8h over 10 days
→HRV dropping : 52ms → 34ms
→BP trending upward: 118/76 → 148/94
→Activity down 42% — sedentary pattern emerging
Isabella's recommendation: Rising BP alongside declining sleep, HRV and activity warrants attention before the next scheduled visit. Care team prompted to review and determine the next step.
Linda S.* · 14-day trends
AI analyzed
Blood pressure (systolic)148 — escalating ↑
Sleep duration5.8h — declining ↓
HRV34ms — low ↓
✦
Connected pattern identified over 14 days Clinical review recommended now - rather than waiting for the next appointment.
Intelligent prioritization

Focus on what matters.
Not every change needs your time.

Isabella reviews every reading against each patient’s personal baseline, filters out expected variation, and sorts the panel before your team logs in.

Every data point, every patient
Vitals
BP, HR, SpO₂, weight, glucose
Wearables
Sleep, activity, rhythm
Labs
Results & trends
Patient input
Symptoms & check-ins
Background noise filtered
Minor or expected changes don’t reach your workflow.
Isabella AI
Compares to each patient’s baseline, around the clock
Your team sees · 48-patient panel
Needs attention
Act today, with the reason shown
2
Needs review
A meaningful change worth a look
3
Clinical observation
Isabella keeps watching before adding work
4
Stable
No action needed
39
5 of 48 patients need your time today
Built to fit your world

Powerful on its own.
Connected to everything else.

Ziva brings clinical systems, labs, devices, wearables and everyday health data together - creating one connected picture of each patient over time.

20+EHR integrations
20+Health data sources
100+Connected devices
Apple Health
Google Health Connect
Oura
Fitbit
WHOOP
CGMs
Labs
EHRs
Common questions

What people ask about the platform.