The last few years have seen a dramatic increase in the number of organizations delivering and enabling value-based care. This in turn has led to an increase in the availability of healthcare claims data, as claims data is often shared across organizations participating in value-based contracts. As a result, more organizations are looking for smart ways to manage their claims data.

This post builds on a presentation my co-founder Coco Zuloaga created a few years ago to help healthcare organizations understand what exactly dbt is and why it's a critical tool for healthcare data and analytics teams. You can find Coco's presentation at the bottom of this post.

This is not another blog post about the promise of real-world healthcare data. We all know that post already. It's also not a post on how much progress we've made over the past two decades, with the digitization of medical records and now, finally, interoperability.

This is a post about the problem that makes doing research and analysis with healthcare data extremely frustrating.