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Avalon is a healthcare data platform that generates realistic synthetic data across the full clinical ecosystem — EHRs, labs, claims, pharmacy, devices — and unifies it into standardized, queryable formats in BigQuery. Powered by Forge.

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Avalon - Synthetic FHIR R4 patient data as OMOP CDM 5.4 views

Name: Avalon - Synthetic FHIR R4 patient data as OMOP CDM 5.4 views
Availability: InStock
Author: brady_bastian

by brady_bastian·Mar 17, 2026·1 point·0 comments

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AI Analysis

●●SolidSolve My ProblemBig Brain

Free OMOP CDM views on BigQuery when healthcare researchers need PHI-free test data.

Strengths

•Forge normalization unnests 459+ raw FHIR fields into clean queryable tables
•Published free on BigQuery Analytics Hub — subscribe and query without setup
•End-to-end pipeline from Synthea generation through OMOP view deployment

Weaknesses

•Synthea and OMOP transformation tools already exist separately in healthcare data space
•Requires GCP account and BigQuery familiarity to access the published dataset

Post Description

Avalon Synthetic clinical data pipeline — generate realistic FHIR R4 patient data, normalize it through Forge, and query it as OMOP CDM 5.4 views.

What is Avalon? Avalon is an end-to-end pipeline that turns Synthea-generated FHIR bundles into clean, documented, queryable tables in BigQuery — then layers OMOP CDM 5.4 views on top.

The output is published free on BigQuery Analytics Hub, where anyone with a GCP account can subscribe and query it directly.

Why? Researchers need realistic clinical data in standard formats (OMOP) without PHI concerns Engineers need FHIR data to build and test healthcare integrations Analysts need pre-normalized tables with documented schemas, not raw nested JSON