Case Study: Large State Health Insurance Company achieves patient journey visibility and better preventive care with Neo4j

Large State Health Insurance Company - Customer Case Study

A Large State Health Insurance Company needed better visibility into vast amounts of patient and claims data to improve member health and determine the next best action for people with chronic conditions. Working with Neo4j and Databricks, the insurer set out to connect each member’s clinical and non-clinical touchpoints and analyze patient journeys at scale using Neo4j Enterprise Edition and Neo4j Graph Data Science on Microsoft Azure.

Neo4j implemented a graph-based solution that let data scientists load and analyze massive health datasets, with fine-grained security for sensitive information and Spark-based ETL through Databricks. The result was a highly scalable patient-journey platform with 1.4 billion nodes and 2.8 billion relationships, plus a 150% increase in data scientist adoption, helping the company identify when to engage members and how to intervene more effectively.