-Early and Accurate Discharge Planning: ML models, locally trained, continuously pressure test the discharge plan throughout the patient's stay, identifying opportunities for earlier discharge and transitions to lower levels of care. This helps hospitals get patients to the most appropriate next site of care sooner and enables early team alignment.

-Create additional bed capacity without more capital or staff: reduce excess days up to 30%, equivalent to adding an entire new unit

-Improved Staff Efficiency & Reduce Burnout: Qventus' AI assistants take on administrative tasks so care teams operate at the top of their license; reduce manual work, clicks, & burnout

-Optimization of Ancillary Services (Flow Prioritization): The solution is used to maximize the efficiency of ancillary services such as therapy (PT, OT) and imaging (MRI, CT, US, XR, IR, Echo). Sophisticated ML models analyze patient and census data to automatically sequence ancillary orders to best support patient flow and discharge success. This reduces manual sequencing steps and ensures optimal patient flow.