Solution Accelerator
Understanding Price Transparency Data
Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook
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Understand the costs of healthcare by unlocking price transparency data from health plans
In the United States, health plans are facing regulatory requirements around price transparency with a rule known as Transparency in Coverage. Health plans must post information for covered items and services. This is in the form of price transparency machine-readable file (MRF) data. These data sets are very large, often unzipping up to 150GB. Further, the JSON structure mandated by the Centers for Medicare & Medicaid Services allows for the creation of just one JSON object, challenging even the fastest parsers.
With the Databricks Lakehouse for Healthcare and Life Sciences, data teams can:
- Ingest and read large price transparency machine-readable file (MRF) data
- Stream JSON objects and parse on the fly with Spark Structured Streaming
- Efficiently perform analysis using Databricks SQL (DBSQL)
Resources
Use Case Guide
![Unlock data-driven healthcare innovation](/en-website-assets/static/1efe09df0653de7bea873fe3abc9d84c/resource-tile-building-use-cases-for-hls_01677273846.png)
Blog
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Workshop
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