Predicts bed availability, discharge timing and barriers, and gives caregivers recommendations and automated actions to reduce length of stay. Works within existing EHR workflows.
The Patient Flow Agent uses machine learning to forecast bed availability and discharge timing in real time. It surfaces discharge barriers early — from pending results to transport delays — and delivers actionable recommendations directly to caregivers within the EHR workflows they already use, so no new tools need to be learned.
Rather than generating static reports, the agent continuously monitors the ward, triggers automated actions where appropriate, and keeps bed managers and care teams aligned on the current state of the unit — supporting a proactive approach to patient flow management.
Forecasts bed availability and discharge timing in real time across every ward.
Identifies pending results, missing orders and other barriers slowing discharge.
Delivers recommendations within Epic, Cerner and other existing EHR interfaces.
Triggers bed requests, transport and housekeeping tasks automatically where configured.
Hardware and feature specifications for the Patient Flow Agent.
Datasheets and reference documents for the Patient Flow Agent.
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