Does patient data leave our warehouse?

No. Mitzu is warehouse-native, so PHI stays in your compliant data warehouse. Mitzu sends queries and receives aggregated results.

What patient metrics can we track?

Booking and appointment completion, no-show rate, portal engagement, care plan adherence and patient journey funnels, all calculated from the data in your warehouse.

Does Mitzu work with EHR data?

Mitzu connects to the warehouse your EHR data is synced to. If it lives in Snowflake, BigQuery or another supported warehouse, you can analyze it next to your product events.

Can we analyze booking and engagement experiments?

Yes. Keep your feature-flag or experimentation tool for assignment; Mitzu reads the exposures from your warehouse and reports lift with confidence intervals, guardrails and health checks, on the same booking and engagement definitions as your dashboards.

Can Mitzu tell us when engagement or show rate moves?

Yes. An autonomous agent reviews bookings, show rate, check-ins and care plan tasks on a schedule and emails the team when one moves, with the reason attached.

Healthcare

Improve patient journeys without data leaving your warehouse.

Booking, engagement, experiments and outcome KPIs on one platform, governed by your data team.

Book a demo Start free

No credit card requiredConnect your warehouse in minutes

Monthly KPI pack

Show rate

89.6%+1.4 pp

Portal adoption

38%+1.5 pp

Plan adherence

51%+2 pp

Trusted by product and data teams

From first booking to ongoing care, on one set of definitions.

Product analytics

Telehealth appointment booking

Measuring the time it takes a patient to find a doctor and confirm.

View use case

Telehealth booking, search to confirmed

01Searched doctors

10,000 patients

100%

02Chose a provider

74% of step 1

74%

03Picked a slot

85% of step 2

63%

04Insurance verified

72% of step 3

45%

05Booked

95% of step 4

43%

Finding

28% drop out at insurance verification; booking now takes 3.2 minutes, down from 8.

Product analytics

Care plan adherence

Monitoring if patients follow their prescribed care plans.

View use case

Patients still doing each task, by week · % of each cohort still active

CohortW0W1W2W3W4W5

Medication1009389868482

Check-ins1008678737068

Diet logs1007968615755

Exercise1007159524846

Finding

47% of patients complete 80% or more of their plan; exercise is skipped 3x more than medication.

Experimentation

Insurance step A/B test

Testing an insurance card scan against manual entry in the booking flow, with confirmed bookings as the guardrail.

View use case

Card scan vs. manual entry

+11.9%

Significant win

Insurance step completion

095% interval +7.4% to +16.4%

Card scan

80.6%

Manual entry

control

72.0%

Autonomous agents

Care program engagement agent

An agent that reviews enrollment, check-ins and care plan tasks every morning and emails the program team when one moves.

View use case

Daily program watch · Mon to Fri, 08:00EnrollmentsWeekly check-insPlan tasksMessages

Mitzu agent · today

Diabetes program check-ins fell 9% week over week, all on Android

All Healthcare use cases

Each one with the questions it answers, the data it needs and the Mitzu features it runs on.

GrowthTelehealth appointment bookingMeasuring the time it takes a patient to find a doctor and confirm.Product analyticsExperimentationAI analyticsView use case ProductSymptom checker engagementSeeing if users finish the digital intake survey or drop off.AI analyticsProduct analyticsExperimentationView use case EngineeringPrescription refill clicksTracking if the "One-Tap Refill" button works across all browsers.Autonomous agentsProduct analyticsBI & warehouse metricsView use case MarketingPatient portal engagementMeasuring how actively patients use their health portal.Product analyticsAI analyticsBI & warehouse metricsView use case DataAppointment show rateTracking no-shows and cancellations to optimize scheduling.Product analyticsBI & warehouse metricsExperimentationView use case ProductCare plan adherenceMonitoring if patients follow their prescribed care plans.Product analyticsAutonomous agentsAI analyticsView use case GrowthInsurance step A/B testTesting an insurance card scan against manual entry in the booking flow, with confirmed bookings as the guardrail.ExperimentationProduct analyticsAI analyticsView use case ProductCare program engagement agentAn agent that reviews enrollment, check-ins and care plan tasks every morning and emails the program team when one moves.Autonomous agentsProduct analyticsBI & warehouse metricsView use case DataMonthly engagement and outcomes KPIsShow rate, portal adoption and care plan adherence for leadership, on the same definitions as product analytics.BI & warehouse metricsProduct analyticsAutonomous agentsView use case

Governed by your data team.

Your data team defines the metrics and sets the permissions. Every answer, in Mitzu, Slack or an AI assistant, uses them.

Nothing copied out of your warehouse
Self-hosting and data residency available
You control whether the AI sees query results
Your data is never used to train AI models

Healthcare analytics: frequently asked questions

Improve patient engagement on one platform, with patient data in your warehouse.

Start free on your warehouse, or book a demo and we'll show it on your data.

Start free Book a demo

Product

Insights

Data

Improve patient journeys without data leaving your warehouse.

From first booking to ongoing care, on one set of definitions.

Telehealth appointment booking

Care plan adherence

Insurance step A/B test

Care program engagement agent

All Healthcare use cases

Governed by your data team.

Healthcare analytics: frequently asked questions

Does patient data leave our warehouse?

What patient metrics can we track?

Does Mitzu work with EHR data?

Can we analyze booking and engagement experiments?

Can Mitzu tell us when engagement or show rate moves?

Improve patient engagement on one platform, with patient data in your warehouse.