Case Study: Orizon enhances healthcare fraud detection with Databricks

A Databricks Case Study

Preview of the Orizon Case Study

Protecting sensitive information in the healthcare industry

Orizon, a health tech company within the Bradesco Group, wanted to improve healthcare efficiency and fight fraud in medical billing, but its teams were slowed by fragmented data and manual processes. Working with Databricks and the Databricks Data Intelligence Platform, Orizon also needed a secure way to manage sensitive healthcare data while modernizing its analytics and AI environment.

Databricks helped Orizon consolidate isolated databases into a lakehouse architecture, automate workflows, and deploy GenAI capabilities using Delta Lake, MLflow, Databricks Model Serving, and Unity Catalog. The result was centralized data management, stronger governance, and a 63% reduction in manual tasks, helping Orizon accelerate internal workflows and better detect healthcare fraud.


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Orizon

Guilherme Guisse

Head of Data and Analytics


Databricks

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