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Use case

Train AI and ML models

Good models can’t overcome bad data. Redox delivers the right data up to 80% faster to improve model quality and drive better outcomes through AI and ML.

Use Case: Train AI and ML models

Mitigate AI’s risks with reliable, accurate, and high-quality data

AI’s potential in healthcare is vast—but it doesn’t come without its challenges. Bad data is lethal for an AI strategy, prolonging model training, escalating costs, and potentially leading to harmful bias and errors. 

With AI regulation on healthcare’s horizon, there’s no better time to mitigate your risk with access to the right data. Redox delivers real-time, normalized data into your preferred cloud environment with unmatched speed and security. Tackle any use case with confidence with the right foundation and limitless scalability.

How it works

Redox cloud connectors help providers extract the right data needed to effectively train models, translating and normalizing data to prepare for cloud ingestion. Redox partners with  Microsoft Azure, Google Cloud, AWS, Snowflake, and Databricks—hydrate one or multiple cloud environments, wherever you have commitments.

How it works: Redox FHIR API

See our AI and ML training use case in action