---
title: "HL7"
description: "1 posts about HL7, summarised, each linking to the original."
---

# HL7
> 1 posts about HL7, summarised, each linking to the original.

## Articles

### [Introducing Funke: Native HL7v2 Parsing on Databricks](https://yomu.fyi/post/introducing-funke-native-hl7v2-parsing-on-databricks.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Sean Fischer, Chris Mantz, Andy Launchbury
- Published: Oct 9, 2026
- Type: Announcement

HL7v2 is the dominant healthcare messaging standard but is difficult to parse due to its nested, delimiter-encoded structure. Existing workarounds like converting to FHIR or using third-party engines add cost and latency. Funke, the successor to the open-source Smolder library, is a new open-source Python and PySpark library under the Databricks License that parses HL7v2 messages directly into native Spark types, preserving the full hierarchy losslessly. It deploys as a Databricks Asset Bundle with a Declarative Pipeline that uses Auto Loader to ingest raw messages into a Unity Catalog volume, then parses them into structured silver tables following the medallion pattern. The library supports all HL7 message types and versions, includes accessor helpers for extracting fields by segment and component, and ships with a demo using synthetic ADT events to illustrate end-to-end ingestion and gold table creation, including a live census and bed utilization dashboard.