This guide explains how healthcare and life sciences organizations can build data clean rooms to securely collaborate on sensitive data while maintaining privacy and compliance. It outlines three steps: assessing readiness by defining goals and data quality, evaluating solutions for privacy controls, scalability, and ease of use, and developing a strategy that grows from basic cohort analysis to advanced attribution. Clean rooms enable secure AI and analytics without moving data, supporting use cases like drug discovery and clinical trials. Snowflake’s tools simplify deployment, protect patient data, and accelerate insights responsibly.

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