Isabella AI · Ziva’s continuous intelligence
One intelligence.
Every side of care.
Isabella reads every signal - devices, wearables, labs, records and daily habits - learns each person’s baseline, and turns meaningful change into action. A personal coach for patients and individuals. An agentic assistant for the care teams who look after them.
✦
Isabella · Pattern found
Nora M.* · Blood pressure · this week
7-day avg BP129/80↓ 7 mmHg
Evening walks5 of 7↑ from 2
High-sodium days2+9 mmHg
Isabella’s insight
“Your three lowest readings followed your evening walks. Sodium is now your biggest lever — two takeaway days added about 9 mmHg to your average.”To Nora · 7:05am briefKeep the after-dinner walk. Tonight: home-cooked, under 600 mg sodium.
To her care teamImproving Trend shared in weekly summary. No action needed.
How it fits together
A continuous care engine
that works on both sides.
Every signal flows into one model of each person. Isabella turns it into guidance for the patient and continuity for the care team - from the same picture.
Medical devices
BP cuffs, scales, pulse oximeters, CGMs
Wearables
Apple Watch, Oura, Garmin, Whoop, Fitbit
Clinical
EHR, labs, medications, care plans
Everyday life
Meals, symptoms, mood, check-ins
→
✦
Isabella
Learns every person’s own baseline - not a population average
NoticeWhat changed, against your normal
ExplainWhy — across every signal
ActThe next step, for the right person
＋ Your clinic’s protocols & knowledge base
→
For patients & individuals
- Personal coaching
- Insights where they matter
- Improvement plans
- Remembers your chats
- Updates your care team
- Ask anything
For care teams
- Prioritized alerts
- Ask about any patient
- Recommendations
- Completes follow-ups
- Smart notes & care plans
- Research with sources
How Isabella works
Notices. Explains.
Suggests the next step.
01 · NOTICES
Every signal, against your normal
Isabella watches continuously and compares each reading to your personal baseline - so small, meaningful shifts surface early.
Resting HR 64 → 71 bpm
+11% vs your baseline · 3 days
+11% vs your baseline · 3 days
02 · EXPLAINS
Connects the change to its cause
She reads across sleep, activity, nutrition, medication and readings together - and says why it’s happening, in plain language.
Lines up with 3 nights under 6h sleep and two late dinners this week.
03 · ACTS
One clear step, for the right person
The patient gets one practical action. When it matters clinically, the care team gets a flag - with the context to act.
Patient: lights out by 10:30 tonightCare team: flags for review if it lasts 2 more days
Isabella with your care team
What the patient sees.
What the care team sees.
The same picture, shaped for each side. Patients get guidance they can act on today. Care teams get continuity between visits - who needs attention, why, and what to do next.
Robert’s appThu · 7:05am
Morning brief
Your weight is up 2.1 lb in two days and your resting heart rate is higher than usual. Your care team has been alerted and will check in with you today.Today’s steps
1Check your ankles for swelling and log any shortness of breath.2Stay within your fluid plan — 1.5 L today. You’re at 0.6 L so far.3Yesterday’s deli soup was 1,400 mg sodium. Tonight, try the low-salt chicken bowl you liked last week.
Keep going
You’ve weighed in 12 days in a row — that’s exactly how we caught this early.Ask Isabella anything…↑
Care team · Needs review142 patients monitored · 3 need you
RK
Robert K.* · Heart failure
Weight +2.1 lb / 48h — above your HF threshold. RHR +9 bpm.
LP
Linda P.* · Hypertension
Two readings above 160/100 this week. Missed 2 doses.
AS
Anna S.* · Diabetes
Time in range 72% → 64% over 14 days.
✓
139 others
Stable and on track — no action needed.
Suggested next step · Robert
Contact today per your heart-failure escalation protocol. Last diuretic change: 9 days ago.Message patientAsk IsabellaMark reviewed
Clinicians stay in control - Isabella surfaces, your team decides.
For care teams
Not just alerts.
An agentic assistant.
Isabella holds the full context of every patient. Ask her anything, get a recommendation on any alert, and let her do the follow-up work - with your team approving what matters.
ASK
Ask anything about a patient
Readings, trends, medications, past conversations - answered from the full patient record.
“What changed for Robert since his last visit?”
RECOMMEND
A recommendation on every alert
Why it fired, what it likely means, and the suggested next action - grounded in your protocol.
Weight +2.1 lb → contact today per HF protocol
ACT
Completes the follow-up
Drafts and sends check-ins, schedules calls, requests readings and logs every step.
✓ Check-in sent · ✓ Nurse call booked 2:30pm
DOCUMENT
Smart notes
Visit-ready summaries and notes from continuous data, ready for review and sign-off.
14-day summary drafted · awaiting review
PLAN
Care plans
Proposes care-plan updates from what’s actually happening at home - you approve or edit.
Proposed: add evening BP reading · Approve?
INSIGHT
Patient insights
Patterns across the patient’s data the team wouldn’t see in a single reading.
Monday spikes follow weekend sodium
KNOW
Your knowledge base
Upload protocols, thresholds and pathways. Isabella follows how your clinic practices.
HF escalation protocol v3.pdf · in use
RESEARCH
Outside research, with sources
Searches published guidelines and literature to support a recommendation - and shows where it came from.
3 sources cited · guideline + 2 studies
Isabella drafts, recommends and follows up - your clinicians review and approve.
Isabella in action
From signal to done —
end to end.
Examples of Isabella working as an agent: she notices, decides what’s needed, does the routine work, and brings your team in where judgment matters.
Heart failureRobert K.* · Thu
A weight gain, handled before lunch
- Detects +2.1 lb in 48h — above the clinic’s HF threshold
- Alerts the care team immediately — “Needs review” with trend and recommended action
- Messages Robert: symptom check + today’s fluid plan
- Robert reports mild ankle swelling — added to the alert, priority raised
- Books nurse call for 10:30am, adds 14-day trend summary
- Drafts smart note with protocol reference
- Clinician reviews note and decides on medication changes
Missed readingsLinda P.* · Mon
Readings stop — Isabella finds out why
- No BP readings for 48 hours — sends a friendly reminder
- Linda replies: “The cuff won’t turn on.”
- Opens a device replacement request with support
- New cuff delivered — first reading 142/88, logged
- Updates care team: gap explained, no clinical concern
- No staff time needed
After a visitAnna S.* · Diabetes
The care plan, turned into daily life
- Clinician updates plan: 10-min walk after dinner, recheck in 2 weeks
- Isabella turns it into Anna’s daily goals and reminders
- Tracks post-dinner glucose: peaks down 31 mg/dL
- Coaches Anna on what’s working
- Drafts visit-ready summary for the recheck
- Clinician reviews progress at recheck
Patient updateNora M.* · in chat
“I started a new medication.”
- Nora tells Isabella her doctor added a new blood pressure pill
- Adds it to her medication list and sets dose reminders
- Shares the update with her care team automatically
- Watches readings and dizziness logs against her new baseline
- Tells Nora: average down 6 mmHg, no side effects logged
- Remembers it in every future conversation
For patients & individuals
A coach that knows you
— and remembers.
Isabella coaches, motivates and speaks up only where it matters. She turns each insight into a plan, remembers what you’ve told her, and keeps your care team in the loop automatically.
COACH
Coaching & motivation
Encouragement tied to your real progress - not generic streaks.
“5 evening walks this week — your best yet. Your average is down 7 mmHg.”
INSIGHT
Insights where they matter
Fewer notifications, more meaning. She speaks up when something changes for you.
Only flags changes against your own baseline
IMPROVE
From insight to improvement
Each insight becomes small, practical steps - and she tracks whether they work.
Week 1: after-dinner walk · Week 2: lower-sodium Sundays
MEMORY
Remembers your conversations
What you’ve shared, what you’ve tried and how you felt - so you never start over.
“You mentioned knee pain last week — swap today’s run for cycling?”
CONNECT
Keeps your care team updated
Relevant updates you give Isabella reach your care team automatically - no extra calls.
✓ New dizziness shared with Dr. Patel’s team
Try it
See Isabella
at work.
Pick a situation, then switch between what the patient sees and what the care team sees.
From our health guides
Patterns you can’t see
in a single number.
Illustrative examples of what Isabella finds when every signal is read together.
SM
Sarah M.*, 34
Wakes exhausted despite 8h sleep
The problem
“Good” sleep scores, but tired 3–4 mornings a week. She assumed it was stress.
What Isabella found
On nights with a glass of wine, deep sleep dropped 38% and next-morning HRV fell 19 ms.
Isabella’s insight
“Your fatigue isn’t stress — it’s a predictable 24-hour response to alcohol.”
MS
Maya S.*, 31
Hard 3pm crash every day
The problem
Another coffee bought an hour - then made it hard to sleep.
What Isabella found
Her usual lunch spiked glucose to 137 mg/dL, then a reactive low at 3pm. A protein-and-fat lunch kept her at 104.
Isabella’s insight
“Your 3pm crash is a glucose crash — not fatigue.”
JT
James T.*, 47
Foggy mornings, no clear pattern
The problem
18 months of tracking - and still no idea why some mornings felt foggy.
What Isabella found
Above 21°C in the bedroom, deep sleep compressed 35% and REM 22%.
Isabella’s insight
“Your foggy mornings are temperature nights.”
Ask Isabella
Ask anything.
Get answers from real data.
Patients ask about a reading, a symptom or what to do next. Care teams ask across a whole panel, get recommendations, and hand Isabella the follow-up - using their own protocols.
PatientZiva app
Why is my blood pressure always higher on Mondays?
Your Monday readings average 8 mmHg higher than the rest of the week. They follow Sundays with takeaway meals — over 2,400 mg sodium — and later bedtimes. On weekends you cooked at home, Monday looked like any other day.
You mentioned Sunday is family dinner at your sister’s. Want three lower-sodium dishes you could bring?
Remembered from your chat on May 12
Ask Isabella anything…↑
Care teamZiva provider portal
Which of my hypertension patients need attention this week?
Three, in priority order:
- Linda P.* — two readings above 160/100, your protocol threshold
- Robert K.* — 7-day average up 9 mmHg, missed 3 readings
- Anna S.* — dizziness logged after a medication change
Based on: Clinic hypertension protocol v3
Handle the follow-up for Linda.
Done — ready for your review:
✓ Check-in message sent to Linda✓ Repeat reading requested for tonight✓ Smart note drafted · review◌ Care-plan change proposed · approve
Ask about a patient or your panel…↑
Connected data
Everything Isabella reads,
in one place.
Wearables
Apple WatchOuraGarminWhoopFitbit
Sleep, HRV, heart rate, activity, recovery.
Medical devices
BP cuffsScalesPulse oximetersThermometers
Cellular devices work without Wi-Fi or a phone.
Glucose
DexcomFreeStyle LibreGlucometers
Continuous and fingerstick readings, meal responses.
Clinical records
EpicCernerathenahealthLabs
Diagnoses, medications, lab results, care plans.
Everyday life
Meal photosMyFitnessPalSymptomsMood
The context that explains the numbers.
Your care team
ProtocolsThresholdsKnowledge base
Isabella follows how your clinic practices.
Get started
Put Isabella
on your side of care.
For you
Understand your health every day
Connect your devices and Isabella starts learning your normal from day one.
Want your provider on Ziva? Refer them →
For care teams
Continuity for every patient, between every visit
Prioritized alerts, trend changes and a needs-review queue - working with your protocols and your EHR.
*Names and examples are illustrative. Isabella provides educational insights and supports - never replaces - your clinician’s judgment.