Two-hour LOS drop in 60 days — how 1 Alabama hospital did it with AI
This webinar is on-demand and can be viewed at your convenience.
Springhill Medical Center faced familiar challenges: delayed discharges, limited visibility into length of stay targets and growing pressure on inpatient capacity. But in just two months, the hospital turned things around.
This on-demand webinar shares Springhill's full playbook — a step-by-step look at how clinical and revenue cycle teams aligned to make discharge planning more predictive, transparent and accountable.
You'll learn how the hospital cut discharge processing times in half, reduced average length of stay by 12 hours and reached 90% compliance with estimated discharge dates (EDDs).
Sharon Barnicle, executive director of revenue cycle, walks through the tools, workflows and metrics that helped Springhill:
Use AI-powered forecasting to proactively plan discharges based on capacity needs
Standardize communication across nursing, case management and administration
Surface discharge barriers early with real-time alerts and EDD watchlists
Build accountability with daily tracking tied to EDD and LOS goals
Presenter:
Sharon Barnicle, RHIA, CRCR
Executive Director, Revenue Cycle Springhill Medical Center
