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Improving Operations Across a Hospital Network

A medium-sized health system needed to quickly improve operations across their facilities but risked accidentally exposing patient data and generating more risks than rewards from the effort.


  • Data stored at each hospital on different legacy systems, creating mismatches between the structure of each set.
  • Reducing hospital gridlock required advanced machine learning, but siloed data and the risk of model leakage became a compliance concern.
  • Rising demands during COVID meant that operational data quickly became stale given changing conditions.


  • Devron deployed to learn on data at each of the system’s 7 hospitals for real-time data ingestion and faster and insights on operational efficiencies.
  • As repeated improvements increase model accuracy, the operations team quickly leverages  insights across facilities to respond to constraints as they emerge.
  • With faster more accurate models, the Health System could divert patients and allocate personnel across the network to mitigate gridlock before critical constraints emerged.
Improving Operations Across a Hospital Network
Improving Operations Across a Hospital Network
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