Case Study: Amara Health Analytics achieves real-time predictive patient protection with DataStax

A DataStax Case Study

Preview of the Amara Health Analytics Case Study

Amara Health uses DataStax to Proactively Protect Patient's Health

Amara Health delivers real-time predictive analytics to help clinicians detect rapidly progressive conditions like sepsis and intervene sooner. The company needed to ingest large volumes of dynamic, mixed-format data (structured HL7, custom formats, clinician notes, device streams) and provide enterprise-grade search and real-time queries—requirements that traditional relational databases could not meet.

Amara chose DataStax Enterprise with Apache Cassandra, deploying a hybrid on‑premise and SaaS architecture that uses time-series patient timelines, NLP, machine learning and rules-based analytics to identify risk and generate clinician alerts. The solution enables live schema changes, rolling upgrades, remote administration and robust search, producing real-time decision support, a holistic patient view, faster development, measurable clinical impact, and lower total cost of ownership.


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Amara Health Analytics

Steve Nathan

CEO


DataStax

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