By hardwiring discharge planning processes using Qventus, M Health Fairview teams are consistently able establish early discharge plans and manage care progression for each patient.
This starts during their daily care progression huddles, when teams use Qventus to guide the discussion for each patient — making rounds highly efficient. Machine learning predicts the estimated date of discharge and disposition, for example, so that every patient has a discharge plan early in their stay. And, automation workflows prioritize orders to reduce manual communication steps with ancillaries, proactively resolving barriers to achieve a safe, on-time discharge.
