One Platform. All Your Clinical Data. Query-Ready for AI.
Zabrizon's Healthcare Data Platform ingests, normalises, and exposes clinical and claims data via a FHIR R4 API — with built-in de-identification, synthetic data generation, and support for SQL, FHIR Search, and GraphQL queries. Purpose-built for AI and analytics workloads.
What the Healthcare Data Platform Does
A managed FHIR-native data infrastructure layer that eliminates the healthcare data engineering problem.
Universal Healthcare Data Ingestion
Coming Q4 2025Real-time and batch ingestion from any healthcare data source
Ingests data from EHRs, payers, labs, pharmacies, devices, and HIEs — normalising HL7 v2, FHIR, X12, and C-CDA into a unified FHIR R4 data model with automatic terminology mapping.
- Real-time FHIR subscription and HL7 v2 ingestion
- X12 EDI claims and eligibility data normalisation
- Lab, ADT, and pharmacy feed integration
- Automated SNOMED, LOINC, and RxNorm mapping
FHIR R4 Query API & Analytics Layer
Coming Q4 2025SQL, FHIR Search, and GraphQL access to all your health data
Expose all normalised healthcare data via FHIR R4 REST, FHIR Search parameters, SQL via a healthcare-aware query engine, and GraphQL — with row-level security and patient-level access controls.
- FHIR R4 CRUD and search API
- Bulk FHIR export for population-level analytics
- SQL interface for BI tools and data science
- GraphQL for flexible application data access
De-identification & Synthetic Data
Coming Q4 2025HIPAA Safe Harbor and Expert Determination de-identification built in
Built-in de-identification supporting HIPAA Safe Harbor and Expert Determination methods — plus generative synthetic data creation for AI training and testing without PHI exposure.
- HIPAA Safe Harbor and Expert Determination modes
- Consistent pseudonymisation across all data types
- Generative synthetic patient data creation
- De-identification audit trail for compliance
Why the Healthcare Data Platform Is Different
Not a general data lake with a FHIR adapter — a purpose-built healthcare data infrastructure product.
FHIR R4 Native Data Model
Every data element stored in the FHIR R4 resource model — no proprietary schema that requires translation for interoperability. Your data is always standards-compliant.
Automated Terminology Mapping
Incoming codes in ICD-9, ICD-10, CPT, NDC, and local codes are automatically mapped to SNOMED CT, LOINC, and RxNorm — eliminating the terminology harmonisation problem.
AI-Ready Feature Store
Pre-computed clinical features for common ML use cases — risk scores, quality measures, utilisation metrics — available as a queryable feature store alongside raw FHIR data.
OMOP CDM Support
Optional OMOP Common Data Model materialisation alongside FHIR — supporting OHDSI analytics tools and enabling participation in federated research networks.
Healthcare Data Platform Integrations
Connects to every major healthcare data source and analytics target.
EHR Sources
- Epic FHIR
- Oracle Cerner
- athenahealth
- Meditech
Claims & Payer
- CMS Medicare/Medicaid
- Commercial claims feeds
- X12 clearinghouses
- Payer FHIR APIs
Analytics Tools
- Tableau
- Power BI
- Looker
- Databricks
ML Platforms
- SageMaker
- Vertex AI
- Azure ML
- Databricks MLflow
Ready to Build Your AI-Ready Healthcare Data Foundation?
Join the waitlist for the Healthcare Data Platform — launching Q4 2025 with select design partners.