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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.
13 articles
Showing 1–6 of 13 posts
Most health plans have a data governance policy. What they often lack is the artifact governance committees produce: a working data dictionary engineers actually use. Here is how to build one — and make it stick across teams.
Three engineers at the same health plan. Same patient database. Three different column names for date of birth. This is the hidden cost of inconsistent data naming — and it is almost never a line item in the budget. Here is the ROI case for healthcare data dictionaries.
Every healthcare data warehouse eventually fails a HIPAA audit, produces a wrong HCC score, or generates a failed HEDIS submission — and traces the problem back to a missing or inconsistent data dictionary. Here is how to build one that actually gets used.
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.
SOC 2 Type II is increasingly a vendor requirement and a customer expectation for healthcare data platforms. Here is what engineers need to implement — beyond what the auditors tell you.
The 21st Century Cures Act is not just a compliance checkbox — it mandates specific technical capabilities around open APIs, information blocking prohibition, and patient data access. Here is what your data architecture must deliver.
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