Infusion centers struggle with unique operational challenges, retaining specialized nurses and rising patient demand. This often leads to volatile workloads in which resources may be both under- and over-utilized in the course of a single day, every day. Traditional methods like grid-based scheduling and first-call-first-scheduled don’t work. Plus, there are incredible intricacies to scheduling linked appointments that manual processes can’t address.

iQueue for Infusion Centers leverages machine learning and predictive and prescriptive analytics to address operational challenges and flag future problems for preventive action.