Data Synthesis
Supercharge your HealthTech!
Train AI Models Model RWD outcomes Run Data Scenarios Create Compelling Demos Explore Data Independent of IRB Create and Ingest Realistic Device Data HL7 FHIR, V2, CSV or Custom Formats
It is difficult to do natural experiments and acquire clinical data for patients.
Every HealthTech platform needs access to high-quality, accurate and valid data. But health data is under lock-and-key - as it should be.
Our Platform helps you create synthetic patients with rich clinical data, faster and with more variety.
Planet-Scale Population
Generate realistic but fictional populations which mirror real population in terms of demographics, social determinants, disease burden, vaccinations, medical visits.
Realistic Patient Profiles
Create patient cohorts with pre-existing or emergent conditions (diabetes, HTN, COPD) along with relevant treatment cycles. The data we provide contains both the statistical components of actual patient data and the relationships between attributes found in a real patient health dataset.
Add Disparate virtual sources
Create data for different modalities including newer consumer-centric data and peri-operative journeys along with realistic behavior (no-activity, drop-offs, adherence variation).
Model and Deliver Data
Model adherence, intervention points, decision matrices, outcomes, scenarios, identify patient types (model patient, sub-model patient) delivered to you in a compatible format.
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