Healthcare & life sciences · Databricks
Orizon: Automating Claims for Better Healthcare
Public case study · not a Metric Oak engagement
- Increase in efficiency in reviewing claims through automation
- 40%+
- More claims handled, shortening processing timelines from 3 days to 3 hours
- 5x
What happened
The story in brief
A Brazilian healthcare claims company works with hundreds of thousands of providers whose claims arrive as PDFs, documents and spreadsheets. Using AI on Databricks to automate claims audits, it cut processing from days to hours and saved substantial costs.
How it compares
- 5x more claims handled, shortening processing timelines from 3 days to 3 hours, against a median speed-up of 10x across 9 healthcare & life sciences results.
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Related insights
Frequently asked questions
What results did Orizon report?
Orizon reported 40%+ increase in efficiency in reviewing claims through automation; 5x more claims handled, shortening processing timelines from 3 days to 3 hours, according to its customer story published by Databricks.
Which platform and technologies did Orizon use?
Orizon used Databricks, including Unity Catalog, Delta Lake, Lakeflow, Delta Sharing, Large language models.
How do these results compare with other healthcare & life sciences programs?
5x more claims handled, shortening processing timelines from 3 days to 3 hours, against a median speed-up of 10x across 9 healthcare & life sciences results.
Source
Customer story published by Databricks: Automating Claims for Better Healthcare (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
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