NYP mentions Qventus in Circulation journal article on reducing length of stay with machine learning

How can machine learning be used to help deliver cardiac care effectively?

In this article published in Circulation, NewYork-Presbyterian discusses using Qventus to reduce length of stay for cardiac patients. In real time, the Qventus platform tracks the status of every patient in the cardiac units and helps anticipate barriers that may potentially delay care. Issues are surfaced to the interdisciplinary care team ahead of time to reprioritize resources as needed.

The full article can be found here: https://www.ahajournals.org/doi/pdf/10.1161/CIRCULATIONAHA.118.031734