Your Data, AI-Ready. FHIR-Native From Day One.
Zabrizon builds FHIR-native data platforms that consolidate clinical, claims, and operational data into a governed, analytics-grade foundation — purpose-built for AI workloads, population health analytics, and regulatory reporting.
Healthcare Data Platform Services
From raw clinical data to AI-grade insights — we build the infrastructure layer that makes it possible.
FHIR-Native Data Lake Architecture
Design and build a centralised FHIR R4/R5 data lake that ingests EHR, claims, lab, ADT, and device data — normalised to FHIR resources and queryable at scale.
- FHIR resource ingestion pipelines from Epic, Cerner, athenahealth
- Delta Lake / Apache Iceberg table format for ACID compliance
- FHIR Bulk Data API ($export) for large-scale data loads
- Multi-source deduplication and patient identity resolution
OMOP CDM & Clinical Standardisation
Transform fragmented clinical data into OMOP Common Data Model — enabling federated analytics, real-world evidence studies, and cross-network research without sharing raw PHI.
- EHR and claims data mapping to OMOP CDM v5.4
- OHDSI vocabulary management and concept standardisation
- Atlas cohort definition and phenotyping library setup
- Federated analytics across multi-site OMOP networks
AI-Ready Feature Engineering & Pipelines
Build the data pipelines and feature stores that feed machine learning models — clinical feature extraction, label generation, and real-time inference data serving.
- Clinical feature engineering from structured and unstructured EHR data
- Real-time and batch ML feature store implementation (Feast, Tecton)
- Label pipeline design for supervised clinical AI model training
- Model serving infrastructure with low-latency prediction APIs
Population Health Analytics Infrastructure
Analytics infrastructure for population health programmes — risk stratification, care gap identification, quality measure reporting, and payer performance dashboards.
- Risk stratification model pipelines for chronic condition management
- HEDIS, Stars, and NCQA measure calculation engines
- Social determinants of health (SDOH) data integration
- Executive dashboards and operational reporting (Power BI, Tableau, Looker)
Data Platform Delivery Process
We deliver working data infrastructure in sprints — not multi-year waterfall projects.
Data Discovery & Source Assessment
Inventory all data sources — EHRs, claims feeds, lab systems, device data — and assess quality, completeness, and integration complexity.
Architecture & Data Modelling
Design the platform architecture, FHIR resource model, OMOP mapping strategy, and data governance framework before ingestion begins.
Pipeline Development & Testing
Build ingestion, transformation, and serving pipelines with data quality gates, lineage tracking, and automated anomaly detection.
Analytics Layer & BI Onboarding
Build the semantic layer, clinical data marts, and connect BI tools — enabling your analysts and data scientists to query production data safely.
Governance & Ongoing Management
Data governance policies, PHI access controls, audit logging, and ongoing pipeline monitoring as a managed service.
Ready to Build Your Healthcare Data Foundation?
Tell us about your data landscape — EHRs, claims, devices — and we'll design a FHIR-native platform that makes your data AI-ready.