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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 7–12 of 13 posts
CMS-9115-F and its successors are not just policy — they are architectural requirements. Patient Access API, Provider Directory API, payer-to-payer exchange, and prior auth APIs each require specific technical capabilities your data team must build.
Data stewardship and data ownership are two distinct roles that most healthcare organizations conflate — until a governance failure makes the difference obvious. Here is how to define and assign both.
Not every data governance platform can handle PHI, audit trails, and clinical terminology. Here are the top tools ranked for healthcare — with an honest take on where each one falls short.
Data lineage is not just a data engineering concern. For HIPAA breach reporting and RADV audits, knowing exactly where PHI moved — and when — is a compliance requirement.
Most healthcare organizations discover their governance gaps during an audit. This step-by-step guide walks you through building a HIPAA data governance framework before that happens.
Column naming inconsistency is one of the most expensive invisible problems in healthcare data. ISO-11179 provides a proven standard for naming data elements — here is how to apply it to your database columns, with healthcare-specific examples.
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