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In-depth guides, tutorials, and best practices for database design, data architecture, and healthcare data modeling.
Showing 55–60 of 71 posts
Your CTO wants a recommendation by Friday: Databricks or Snowflake? Here's the truth about which platform wins for healthcare analytics, ML, ETL, and BI workloads — with real cost comparisons and decision frameworks.
Your Snowflake storage costs are climbing 40% per month. Queries are timing out. Your claims report just cost $847 to run. Here's how to build healthcare data models optimized for Snowflake's architecture—with clustering, materialized views, and cost controls.
CMS disallowed $4.2M in risk-adjusted payments because your data model couldn't prove HCC documentation. Here's how to build audit-ready risk adjustment models that track encounters, validate diagnoses, and survive RADV audits.
Your claims data warehouse reconciliation doesn't match the 835 remittance files. Counts are off. Paid amounts differ. Here's how to build claims data models that track the complete adjudication lifecycle and maintain financial accuracy.
Your healthcare data warehouse has members, claims, and providers. But when compliance asks for HEDIS reports, your model breaks. Here's how to build logical data models that handle retroactive eligibility, claim adjustments, and regulatory compliance.
You spent months designing a logical data model. Your ERD is pristine. Then the metrics report lands on the CFO's desk—and nothing matches. Here's why even the best logical models produce garbage metrics in healthcare, and how to fix it.
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