Context: Patient throughput is often described as a capacity problem, more beds, more staff, longer shifts. In reality, it is an execution discipline reflecting whether decisions are made at the right moment across the care flow.

Challenges: Admissions are confirmed before downstream teams are ready, diagnostics complete without clarity on next actions, and discharge planning begins after clinical resolution instead of alongside it, so patients stall in transition states.

Solution: The Patient Throughput Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors transition windows as a patient moves through care and intervenes during diagnostics, recovery, and discharge handoffs, flagging patients at risk of missing a transition window before delays compound.

Impact: Hospitals adopting this approach see decisions happen in sequence rather than hindsight, with length of stay shortening and operations becoming calmer without adding capacity.