Analytics and Data Marts
Query Zus data in bulk through relational data marts, choose how to access them, and start from ready-made analysis queries.
Zus data marts give you Zus data in relational tables for analysis and reporting. These pages cover the ways to access the data marts, the schema, and a library of example queries.
In this section
- Data Mart Access Options: Snowflake, Databricks, BigQuery, bulk export, ETL tools and Tuva
- FHIR Relational Data Marts: the schema, how Zus data fits together (Understanding Zus data), its data dictionary and diagrams, and known issues
- Query Library: example queries for demographics, population health, high-risk patients and care gaps
- Zus Operations Data Marts: package enrollments and patient history jobs (private beta)
- FHIR Relational Schema v1 (legacy): the v1 data dictionary and diagrams, and how to migrate to v2
Risk adjustment data marts are documented under the Risk Adjustment solution.
Updated 9 days ago
Did this page help you?