Healthcare Analytics

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Analytics and Deep Learning in Healthcare

In recent years, healthcare organizations have been facing increasing pressure to refocus their businesses away from volume-based drivers toward value-based metrics and improved patient outcomes. This fundamental shift in priorities often leads to broad organizational and operational changes, after which many organizations find their existing infrastructure lacks the analytical capability to support these important changes.

Cray's analytics and AI environments — the Urika®-GX agile analytics platform and Urika®-XC analytics software suite for the XC series — provide unparalleled performance and support for projects focused on:

  • Improving quality of care and patient outcomes
  • Reducing medical errors
  • Monitoring pay-for-performance metrics
  • Optimizing supply chain and reducing costs
  • Reducing fraud and overpayment
  • Improving utilization