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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 67–72 of 81 posts
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.
Compare star schema and snowflake schema designs for data warehouses with practical examples and guidance on when to use each pattern.
Understand HL7 FHIR resources and implement healthcare interoperability data models for patient data exchange and system integration.
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