toFHIR Features: Schema Inferring

Defining schemas in toFHIR is simple for most datasets. However, when working with complex schema, the process can become more time-consuming. You may need to go through each column, carefully defining its structure and repeatedly testing your mappings to ensure they work as expected with real data. This define–test–adjust cycle can extend the setup time in those more demanding scenarios.

But what if there were a smarter way? Imagine simply providing your raw data — whether from a database or file system — and having toFHIR automatically analyze it and generate the corresponding schema for you. No manual column definitions. No guesswork. Just intelligent automation.

This is where toFHIR’s schema inference feature comes into play. With just a sample of your source data, toFHIR can infer the structure, detect field types, and create a ready-to-use schema adjusted to your dataset. It’s a powerful capability that saves time, reduces human error, and lets you focus on what matters most: building efficient, interoperable data pipelines.

Read our blog post on the toFHIR website to learn how this feature works in practice — and how it can speed up your workflow dramatically.