Streaming analytics

Health

Combine raw data (from medical devices, dispensing systems, surgical implants, personal event recorders [i.e. CERs], mobile devices, medical networks) and stored data (personal history, network and security data, demographics, research data) to detect medical patterns sooner to reduce overall healthcare expenses, increase data completeness and accuracy for better patient outcomes, and reduce operational costs through a centralized data processing system.

Example Applications

  • · Real-time patient monitoring
  • · Dynamic inventory tracking
  • · Real-time conditions monitoring (fridge and warehousing, radiation levels, etc.)
  • · Real-time data security and fraud monitoring
  • · Real-time medical robotics operations and control
  • · Geolocation- based services (i.e. fall detection)
  • · Dynamic dispensing systems