DUTCH HOSPITAL NETWORK
Databricks-powered clinical data platform with AI analytics connecting regional hospital systems.
2024
Healthcare Data & AI Platform
Archived
A consortium of Dutch regional hospitals needed to break down data silos between their clinical information systems to enable cross-facility patient analytics, resource planning, and quality benchmarking. NexOps built a federated Databricks data platform with AI-powered clinical analytics that respects data sovereignty while enabling collaborative intelligence across facilities.
METHODOLOGY
- 01
Designed a federated data mesh architecture on Databricks Unity Catalog, allowing each hospital to retain data ownership while sharing curated datasets through governed data products
- 02
Implemented Databricks Delta Sharing for secure, open-protocol data exchange between hospitals — enabling cross-facility analytics without requiring data duplication or centralisation
- 03
Built FHIR-compliant data pipelines on Databricks integrating with Epic, HiX, and ChipSoft clinical systems using Delta Lake medallion architecture
- 04
Deployed AI models for patient flow prediction, readmission risk scoring, and resource demand forecasting using Databricks ML and MLflow
- 05
Implemented differential privacy techniques and AI-driven anonymisation layered on top of Delta Sharing for cross-hospital analytics without exposing patient-level data
- 06
Deployed on Azure with Databricks private endpoints and managed identity for zero-trust security
OUTCOMES
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Connected 8 regional hospitals with 12,000+ beds into a single Databricks-powered analytics fabric via Delta Sharing
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Delta Sharing enabling real-time cross-hospital data collaboration without data replication — maintaining sovereignty per facility
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AI-driven patient flow predictions improving bed management
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Enabled cross-facility benchmarking that identified 15% improvement opportunities in patient throughput
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Maintained full GDPR and NEN 7510 compliance with zero data-sovereignty violations
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