Datavant Switchboard with AWS Clean Rooms

Publication date: January 24, 2024 (Diagram history)

Datavant’s data de-identification and tokenization tools enable healthcare and life sciences companies to replace their private patient information with an encrypted “token” that can’t be reverse-engineered to reveal sensitive information. These companies can leverage AWS Clean Rooms with collaborators to securely analyze and gain new insights from their collective datasets without sharing, copying, or moving one another’s underlying data outside of AWS.

Datavant Switchboard with AWS Clean Rooms Diagram

1. De-identify and tokenize data in an Amazon Simple Storage Service (Amazon S3) bucket by using Datavant Switchboard. Deploy the container through supported methods, including AWS Fargate, Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Elastic Container Service (Amazon ECS).

2. Link tokenized data with fellow collaborators through Datavant Switchboard and store the output in an Amazon S3 bucket.

3. Leverage AWS Glue crawler to crawl linked, tokenized data. Prepare the data source for collaboration with AWS Glue Data Catalog.

4. The collaboration creator initiates AWS Clean Rooms and invites the member to the collaboration. Analysis rules are agreed upon and implemented. Members associate configured tables from Data Catalog and give AWS Clean Rooms service role to access their AWS Glue tables.

5. The member who can query leverages AGGREGATE and LIST functions across tables in the collaboration. Results can be exported to Amazon S3 for the member who can receive query results

6. The member who can receive query results can leverage analytics services, including Amazon Redshift, Amazon Athena, Amazon EMR, Amazon SageMaker AI, and more to derive insights from newly enriched data sets.

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Change	Description	Date
Initial publication	Reference architecture diagram first published.	January 24, 2024

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