Case Study: Infinitus cuts prescription coverage verification from days to seconds with Neo4j

Infinitus cuts prescription coverage verification from days to seconds with Neo4j

Infinitus, a healthcare communications platform, faced the challenge of slow and inefficient prescription coverage verifications that required lengthy phone calls to insurance companies. Their existing PostgreSQL database struggled with the complex, interconnected logic of healthcare rules, causing high latency and a poor user experience. To move beyond automation and achieve instant answers, they turned to vendor Neo4j and implemented its AuraDB product on Google Cloud.

The solution implemented by Neo4j was a graph database that modeled healthcare rules as a network of connected nodes. This allowed Infinitus to traverse complex relationships instantly instead of parsing cumbersome JSON blobs. The result was a reduction in query response time for complex rule logic to under one second. This enabled Infinitus to deflect a double-digit percentage of calls, cutting data turnaround from days to seconds and allowing patients to begin critical therapy much sooner.

Infinitus