Hospitals sit on mountains of data, but fragmentation and inconsistent formats make it hard to use. The OMOP Common Data Model offers a standardized way to structure and analyze healthcare data across systems and institutions. This post explains what OMOP is, why it’s gaining global momentum, and how it can unlock scalable, collaborative research and analytics.

Hospitals are rich in data but poor in reuse. While industries like finance, tech , and manufacturing treat queries and logic as shared, reusable assets, healthcare often rebuilds from scratch, leading to delays, inconsistencies, and governance risks. Here’s how healthcare can catch up.

Even small differences in how SQL queries are written can lead to wildly different metrics, fueling conflicting reports, delays, and mistrust. In healthcare, the stakes are even higher. This post explores how inconsistent logic erodes confidence in data, wastes analyst time, and can even impact patient care—and what hospitals can do to fix it.

Most hospitals think their data is governed until inconsistent logic, outdated queries, or silent errors reveal a critical blind spot: the code. This post explains why data governance isn’t enough, introduces code-level governance, and shows how it protects accuracy, compliance, and trust.