RadiantGraph × Databricks | From Data to Proactive Care

databricks

Turning data into proactive care.

Built on the Databricks Data Intelligence Platform, our Health Data Engine unifies fragmented data, identifies opportunities to improve care, and powers meaningful interactions at scale.

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Better Together.

Healthcare organizations have access to more data than ever. But turning that data into timely, personalized action remains a challenge.

Unified healthcare data

Bring fragmented clinical, claims, pharmacy, and demographic data together in one governed foundation.

Intelligent personalization

Use machine learning to identify high-impact populations and tailor engagement to individual needs.

Engagement at scale

Put intelligence into action through personalized journeys, connected channels, and AI-powered conversations.

From raw data to proactive healthcare.

A reliable foundation for healthcare data

Built with Delta Lake, RadiantGraph brings together disparate healthcare datasets and transforms them into consistent, usable information, creating a more complete picture of each population.

Governance built into the architecture

Databricks Unity Catalog provides centralized access controls, data lineage, and governance to help RadiantGraph manage sensitive healthcare information responsibly.

Intelligence that drives the next action

With machine learning workflows managed through MLflow, RadiantGraph turns member data into predictive insights, smarter segmentation, and more relevant engagement strategies.

Proactive care, powered by intelligence

Insights are transformed into timely, personalized engagement that helps healthcare organizations anticipate needs and support better health outcomes.

Built for healthcare.

RadiantGraph's Databricks-based architecture is designed to manage sensitive information, support evolving data needs, and provide the governance required for enterprise-scale operations.

Turn AI from a risky experiment into a governed, measurable engagement capability. One that works with the platform commits you've already made.Turn healthcare intelligence into personalized experiences across some of the most important challenges in member and patient engagement.

Isolated client data

Dedicated AWS S3 storage buckets and role-based access policies keep each client's data logically and physically separated.

Fine-grained access control

Unity Catalog supports permissions at the table, row, and column levels, helping ensure that users and applications access only authorized data.

Traceable data transformations

Data lineage and auditing provide visibility into how information moves and changes throughout the processing lifecycle.

Reliable, repeatable processing

Layered data pipelines preserve source information while progressively cleaning, enriching, and preparing data for downstream use.