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Data Architecture Articles
15 articles
Showing 1–6 of 15 posts
TEFCA and Data Architecture: What Health Systems Need to Build Now
TEFCA is now operational. Qualified Health Information Networks are live. If your health system or payer is not actively planning TEFCA participation, you are behind. Here is what the architecture requires.
Healthcare Data Lakehouse Architecture: Building on Delta Lake for Payers
The data lakehouse pattern — combining the scalability of a data lake with the ACID guarantees of a warehouse — is a natural fit for payer data. Here is how to build it on Delta Lake, layer by layer.
Real-Time vs Batch Processing for Healthcare Claims: Architecture Decision Guide
Not every healthcare claims use case requires real-time processing — and treating them all the same wastes resources and adds complexity. Here is the decision framework for choosing the right architecture.
EHR Data Integration Architecture: Epic, Cerner, and Oracle Health Compared
Epic, Cerner, and Oracle Health are the three dominant EHR systems — and each requires a different integration strategy. Here is what actually works for extracting clinical data into your warehouse.
Event-Driven Architecture for Healthcare Data Pipelines (Kafka + FHIR)
Real-time clinical data demands event-driven architecture. ADT feeds, lab results, and prior auth events cannot wait for a nightly batch. Here is how to design Kafka-based pipelines for FHIR-native healthcare data.
Healthcare Data Mesh Architecture: Is It Right for Payers and Providers?
Data mesh promises domain ownership and decentralized data products. But healthcare data — with its strict PHI governance, clinical terminology dependencies, and regulatory requirements — challenges every core data mesh principle. Here is an honest assessment.
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