Have you ever looked at a stack of physical medical reports and wished you could just "Ctrl+F" your health history? 📑 We’ve all been there. Every hospital has a different layout, different units, and cryptic abbreviations that make manual data entry a nightmare.

In the world of data engineering , turning unstructured "messy" documents into structured data extraction pipelines is a superpower. Today, we’re going to build a robust system that uses Pydantic , Instructor , and Azure Form Recognizer to transform scanned medical reports into standardized JSON (following medical standards like LOINC) with 100% type safety. 🚀

Why "Prompting" isn't enough

If you just throw OCR text at an LLM and ask for "JSON," it will eventually fail. It might hallucinate a field, change a data type, or forget a closing bracket.…