This datasheet explains how Cloudera enables public-sector healthcare and life sciences organizations to unlock real-time insights and improve patient outcomes. Page 1 highlights challenges caused by fragmented HL7 messages, EHRs, IoT data, and clinical systems that delay care and obscure risk signals. Cloudera unifies these sources into secure, real-time pipelines ready for predictive and generative AI while maintaining HIPAA, FedRAMP, GovRAMP, and TX-RAMP compliance. Use cases include early detection of at-risk patients, population health monitoring, suicide-risk assessment, outbreak detection, and AI-assisted clinical decision support. Diagrams show an open data lakehouse architecture supporting streaming ingestion, analytics, and AI across cloud, on-premises, and edge environments.

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