Use Case

Predictive Patient Flow

The Problem

Capacity management in hospitals is a complex operational and clinical problem, requiring real-time input from hundreds of data sources. Delayed information from any of these sources creates blocked flow and leads to ED boarding, delayed admissions and discharges, and missed transfer opportunities.

Knit’s Solution

Knit predicts the clinical path for each patient, dynamically updating in real time as new information is recorded, and seamlessly delivers this intelligence to health system workflows via API. Predictive patient flow intelligence anticipates key care transitions such as ED admissions and discharges, flags patients eligible for alternative care models including hospital at home, improves utilization of operating rooms and imaging, and supports care teams managing transferred patients.