GraphConnect 2020

It started as a straightforward request:

"How can we view a timeline of each interaction we have with our members?"

Along the way, this straightforward ask grew into the “Member Intervention Hub: an analytics engine to enable our business teams to identify key members and intervention opportunities to improve health and reduce costs.

In between, our small team had a crash course in Neo4j, CypherQL, and the right and wrong ways to build a knowledge graph for health insurance.

This talk covers some of the key things we learned while building our Member Intervention Hub:

1. Getting business / executive buy-in on a graph solution

2. Iterating on a data model

3. How far you can get with Community Edition