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In-depth guides, tutorials, and best practices for database design, data architecture, and healthcare data modeling.
Platform comparisons, TCO analysis, and governance frameworks — written for the people who approve the budget.
Showing 43–48 of 81 posts
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.
SDOH data is increasingly required for quality reporting, care management, and value-based contracts — but most warehouses treat it as an afterthought. Here is a practical data model that makes SDOH analytically useful.
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.
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.
Building HIPAA-compliant data infrastructure on Google Cloud requires more than checking a BAA checkbox. Here is the architecture — BigQuery, Cloud Healthcare API, Pub/Sub, Dataflow, and the security controls that make it defensible.
Healthcare organizations end up multi-cloud for reasons that are rarely strategic. Here is how to architect data infrastructure across clouds without creating a compliance and operational nightmare.
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