AI-Powered Document Intelligence for Healthcare

Healthcare organizations are drowning in unstructured documents: discharge summaries, clinical notes, lab reports, and insurance forms, all locked in PDFs that resist traditional analytics. Extracting value from these documents today often means expensive manual data entry, error prone OCR pipelines, or months long integration projects. If you are a data engineer, analytics leader, or IT decision-maker in healthcare who wants to unlock the intelligence trapped in your document repositories, this webinar is for you.

Snowflake AI Document Intelligence lets you parse, structure, and search clinical documents using built in AI, with no external tools, no model training, and no data leaving your governed environment. With AI_PARSE_DOCUMENT and Cortex Search, you can go from a stack of PDFs to natural language search across your entire document corpus in a single, secure platform.

In this hands-on session, we will upload real world style clinical discharge summaries into Snowflake, use AI_PARSE_DOCUMENT to extract structured content from unstructured PDFs page by page with full layout understanding, build a Cortex Search service that enables semantic search across all parsed documents, connect everything to Snowflake Intelligence for natural language document discovery, and demonstrate a scheduled notebook pipeline that automatically processes new documents as they arrive.

By the end of this session, you will understand how to build an end to end document intelligence pipeline entirely within Snowflake, from raw PDF ingestion to conversational search. You will see how to eliminate manual document processing, enable clinicians and analysts to find information in seconds instead of hours, and do it all within Snowflake's governed, HIPAA eligible environment. You will leave with a reusable architecture pattern you can apply to your own document workflows immediately.