Integrating Diverse Healthcare Data using MongoDB and Neo4j

Zephyr Health is integrating diverse healthcare data using MongoDB and Neo4j databases. The platform derives real-time analytics that help patients connect with different therapies and pharmaceutical companies connect with different healthcare providers. The architecture of Zephyr's platform was built from scratch in Java and Groovy, utilizing ontology-driven development to integrate unknown and unseen data in a more consistent way. A polyglot persistence database is used, combining MongoDB and Neo4j to store data points and profiles as JSON documents in MongoDB and nodes and edges in Neo4j. The system uses fuzzy match logic to combine entities with similar information and stores the documents and profiles as JSON documents in MongoDB. Zephyr's platform has proven flexible, extensible, and adaptive, addressing challenges related to data modeling and organization, such as indexing and data size limits. The graph database technology used by Neo4j enables exploration of relationships that were previously unknown, making it a vital tool for the healthcare industry.

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