Transform your discharge planning

After admission, tailored machine learning models analyze 1,000+ features to predict an optimal date and disposition for the patient’s discharge—then instantly update your EHR. Using patterns and data unique to your organization, these models are carefully trained and localized to ensure their predictions are ambitious but achievable.

During the patient’s stay, our localized models help ensure ancillary teams are seeing the right patients at exactly the right time. Our solution auto-prioritizes orders and embeds an optimal sequence directly in the ancillary team’s worklist—where they can easily complete each step on the patient’s path to on-time discharge.

As the patient’s care progresses, our intelligence engine continually evaluates their care plan to identify and resolve gaps that could delay discharge. In the EHR, automated alerts and nudges help staff take timely action to ensure patients get the care they need and discharge on time.

At every step, our solution continuously evaluates patient census and status to determine who can be discharged sooner—or to a lower level of care. AI/ML models in our solution analyze 800+ features to predict patient-level discharge disposition, autopopulate recommendations in the EHR, and prompt care teams to capture identified opportunities.