Blog
In-depth guides, tutorials, and best practices for database design, data architecture, and healthcare data modeling.
Showing 13–18 of 71 posts
A practical segment-by-segment guide to translating HL7 v2 messages (ADT, ORU, DG1, AL1) into FHIR R4 resources — with real JSON examples and the common pitfalls that break translation pipelines.
Every DDL syntax difference between MySQL and PostgreSQL — data types, AUTO_INCREMENT, ENUM, indexes, case sensitivity, and function replacements — with exact conversion examples.
A data contract is a formal agreement between the team that produces data and the teams that consume it — specifying schema, quality rules, SLAs, and ownership. In healthcare, where a schema change in the claims pipeline can break downstream HEDIS calculations, data contracts are a stability mechanism, not a formality.
A practical guide to designing the Snowflake and BigQuery data models that power CMS-HCC V28 risk adjustment — including RAF score calculation, member-HCC mapping tables, and the data quality checks that prevent audit findings.
How to validate NPI numbers using the Luhn algorithm, build a provider master data model, and reconcile against the NPPES registry — with SQL and Python examples for healthcare data engineers.
A DDL script is more than CREATE TABLE. In a healthcare data warehouse, it is your schema contract — defining data types, constraints, and indexes that determine whether your claims pipeline loads clean or fails silently.
Get the latest healthcare data architecture articles delivered to your inbox.