Devron | 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.

Challenge

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.

Solution

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

Challenge

Solution

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