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Tuesday, April 21 • 4:15pm - 4:55pm
Graph Analytics in Healthcare Healthfirst's Journey from Idea to Production

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At Healthfirst, we're on a journey to use graph to improve the health of our members. We began with a small pilot and scaled up to a KG, allowing us to analyze connections between members, claims, and providers: we’re using Neo4j for fraud detection, reducing costs, and improving care patterns.    

We'll start the talk with an overview of Healthfirst and our business model. We'll discuss the business problems outlined to us by stakeholders, and how we helped them frame their questions in a way that could be answered with graph analytics.

We'll review our very first use case (fraud detection), which started with a Neo4j trial off the side of our desks, the results of which were powerful and gained us the support to scale up to a Neo4j server and several licenses, expand the fraud detection use case, and launch a new use case for out of network utilization analysis.

We will focus the talk how we collaborated w/ business partners to execute the use cases and how the results are being used to improve quality of care for our members, but will also touch on the graph schema, data sources/ ingestion patterns, and graph algorithms used for the analyses."

Tuesday April 21, 2020 4:15pm - 4:55pm EDT
Room 3