Price transparency data from health plans in the U.S. holds the key to truly understanding healthcare costs – but it comes as massive, complex machine‑readable files (MRFs) that are tough to parse at scale.
What this solves
The Databricks Lakehouse for Healthcare and Life Sciences helps health plans and analytics teams ingest, parse, and analyze large MRF data efficiently. This allows you to meet Transparency in Coverage regulatory requirements while avoiding the performance bottlenecks typical of single‑JSON‑object files.
With this Accelerator, you get
- Ready-to-use Resources: Pre‑built code, sample data, and step‑by‑step instructions ready to run in a Databricks notebook
- Handle Huge Files: Easily ingest and read MRF datasets that can exceed 150GB
- Process on the Fly: Use streaming to parse complex JSON objects using Spark Structured Streaming
- Get Answers Faster: Use Databricks SQL to perform fast analysis on cleansed, structured price data
🔗 Launch Solution Accelerator
